Methods and Nucleic Acids for the Analysis of Gene Expression Associated with the Development of Prostate Cell Proliferative Disorders

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of priority to the following applications: European application number 03090414.8, filed 01 Dec. 2003; European application number 04090040.9, filed 10 Feb. 2004; European application number 04090187.8, filed 10 May 2004; and European application number 04090292.6, filed 21 Jul. 2004; all of which are incorporated by reference herein in their entireties.

FIELD OF THE INVENTION

The present invention relates to human DNA sequences that exhibit altered heterogenous expression patterns in prostate cancer patients. Particular embodiments of the invention provide methods for the diagnosis of individuals with said disorder.

SEQUENCE LISTING

A Sequence Listing, pursuant to 37 C.F.R. §1.52(e)(5), has been provided on compact disc (1 of 1) as a 1.64 MB text file, entitled “47675-95 Sequence Listing.txt,” and which is incorporated by reference herein in its entirety.

BACKGROUND

Correlation of aberrant DNA methylation with cancer. Aberrant DNA methylation within CpG ‘islands’ is characterized by hyper- or hypomethylation of CpG dinucleotide sequences leading to abrogation or over expression of a broad spectrum of genes, and is among the earliest and most common alterations found in, and correlated with human malignancies. Additionally, abnormal methylation has been shown to occur in CpG-rich regulatory elements in both intronic and coding parts of genes for certain tumors. In colon cancer, aberrant DNA methylation constitutes one of the most prominent alterations and inactivates many tumor suppressor genes including, inter alia, p14ARF, p16INK4a, THBS1, MIT2, and MINT31 and DNA mismatch repair genes such as hMLH1.

Aside from the specific hypermethylation of tumor suppressor genes, an overall hypomethylation of DNA can be observed in tumor cells. This decrease in global methylation can be detected early, far before the development of frank tumor formation. A correlation between hypomethylation and increased gene expression has been determined for many oncogenes.

Prostate cancer. Prostate cancer is the most common malignancy among men in the United States (˜200,000 new cases per year), and the sixth leading cause of male cancer-related deaths worldwide (˜204,000 per year). Prostate cancer is primarily a disease of the elderly, with approximately 16% of men between the ages of 60 and 79 having the disease. According to some estimates at autopsy, 80% of all men over 80 years of age have some form of prostate disease (eg cancer, BPH, prostatitis, etc). Benign prostate hypertrophy is present in about 50% of men aged 50 or above, and in 95% of men aged 75 or above. It is obvious from these reports that prostate cancer is often not a disease that men die from, but with. Recent evidence suggests that the incidence of prostate cancer may in fact be declining, likely as result of better treatment, better surgery, and earlier detection.

Diagnosis of prostate cancer; molecular approaches. Current guidelines for prostate cancer screening have been suggested by the American Cancer Society and are as follows: At 50 years of age, health care professionals should offer a blood test for prostate specific antigen (PSA) and perform a digital rectal exam (DRE). It is recommended that high risk populations, such as African Americans and those with a family history of prostate disease, should begin screening at 45 years of age. Men without abnormal prostate pathology generally have a PSA level in blood below 4 ng/ml. PSA levels between 4 ng/ml and 10 ng/ml (called the ‘grey zone’) have a 25% chance of having prostate cancer. The result is that 75% of the time, men with an abnormal DRE and a PSA in this grey zone have a negative, or a seemingly unnecessary biopsy. Above the grey zone, the likelihood of having prostate cancer is significant (>67%) and increases even further as PSA levels go up. Numerous methods exist for measuring PSA (percent-free PSA, PSA velocity, PSA density, etc.), and each has an associated accuracy for detecting the presence of cancer. Yet, even with the minor improvements in detection, and the reported drops in mortality associated with screening, the frequency of false positives remains high. Reduced specificity results in part from increased blood PSA associated with BPH, and prostatis. It has also been estimated that up to 45% of prostate biopsies under currrent guidelines are falsely negative, resulting in decreased sensitivity even with biopsy.

TRUS guided biopsy is considered the ‘gold standard’ for diagnosing prostate cancer. Recommendations for biopsy are based upon abnormal PSA levels and/or an abnormal DRE. For PSA, there is a grey zone where a high percentage of biopsies are perhaps not necessary. Yet the ability to detect cancer in this grey zone (PSA levels of 4.0 to 10 ng/ml) is difficult without biopsy. Due to this lack of specificity, 75% of men undergoing a biopsy do not have cancer. Yet without biopsy, those with cancer would be missed, resulting in increased morbidity and mortality. Unfortunately, the risks associated with an unecessary biopsy are also high.

Molecular markers would offer the advantage that they can be used to efficiently analyze even very small tissue samples, and samples whose tissue architecture has not been maintained. Within the last decade, numerous genes have been studied with respect to differential expression among benign hyperplasia of the prostate and different grades of prostate cancer. However, no single marker has as yet been shown to be sufficient for the detection of prostate tumors in a clinical setting.

Alternatively, high-dimensional mRNA-based approaches may, in particular instances, provide a means to distinguish between different tumor types and benign and malignant lesions. However, application of such approaches as a routine diagnostic tool in a clinical environment is impeded and substantially limited by the extreme instability of MRNA, the rapidly occurring expression changes following certain triggers (e.g., sample collection), and, most importantly, by the large amount of mRNA needed for analysis which often cannot be obtained from a routine biopsy (see, e.g., Lipshutz, R. J. et al., Nature Genetics 21:20-24, 1999; Bowtell, D. D. L. Nature Genetics Suppl. 21:25-32, 1999).

Aberrant genetic methylation in prostate cancer has been observed in several genes including Gstp1, AR, p16 (CDKN2a/INK4a), CD44, CDH1. Genome-wide hypomethylation for example of the LINE-1 repetitive element has also been associated with tumor progression (Santourlidis, S., et al., Prostate 39:166-74, 1999).

Prostate cancer methylation markers. The core promoter region of the Gluthione S-Transferase P gene (GSTP1; accession no. NM_—000852) has been shown to be hypermethylated in prostate tumor tissue. The glutathione S-transferase pi enzyme is involved in the detoxification of electrophilic carcinogens, and impaired or decreased levels of enzymatic activity (GSTP1 impairment) have been associated with the development of neoplasms, particularly in the prostate. Mechanisms of GSTP1 impairment include mutation (the GSTP*B allele has been associated with a higher risk of cancer) and methylation. However, with respect to the use of Gstp1 markers, the prior art is limited with respect to the number of Gstp1 promoter CpG sequences that have been characterized for differential methylation status. Moreover, there are no disclosures, suggestions or teachings in the prior art of how such markers could be used to distinguish among benign hyperplasia of the prostate and different grades of prostate cancer.

Aberrant genetic methylation has also been observed in several other genes including AR, p16 (CDKN2a/INK4a), CD44, CDH1. Genome-wide hypomethylation, for example, of the LINE-1 repetitive element has also been associated with tumor progression (Santourlidis, S., et al., Prostate 39:166-74, 1999).

However, use of these genes as alternative or supplemental diagnostically or otherwise clinically useful markers in a commercial setting has not been enabled. The application of differentially methylated genes to clinically utilizable platforms requires much further investigation into the sensitivity and specificity of the genes. For example, in the case of the gene CD44, a known metastasis suppressor, downregulation was associated with hypermethylation. However the use of this gene as a commercially avalable marker was not enabled, because it was also methylated in normal tissues (see Vis, et al., Mol Urol. 5:199-203, 2001).

Development of medical tests. Two key evaluative measures of any medical screening or diagnostic test are its sensitivity and specificity, which measure how well the test performs to accurately detect all affected individuals without exception, and without falsely including individuals who do not have the target disease (predictive value). Historically, many diagnostic tests have been criticized due to poor sensitivity and specificity. A true positive (TP) result is where the test is positive and the condition is present. A false positive (FP) result is where the test is positive but the condition is not present. A true negative (TN) result is where the test is negative and the condition is not present. A false negative (FN) result is where the test is negative but the condition is not present.

In this context: Sensitivity=TP/(TP+FN); Specificity=TN/(FP+TN); and Predictive value=TP/(TP+FP).

Sensitivity is a measure of a test's ability to correctly detect the target disease in an individual being tested. A test having poor sensitivity produces a high rate of false negatives, i.e., individuals who have the disease but are falsely identified as being free of that particular disease. The potential danger of a false negative is that the diseased individual will remain undiagnosed and untreated for some period of time, during which the disease may progress to a later stage wherein treatments, if any, may be less effective. An example of a test that has low sensitivity is a protein-based blood test for HIV. This type of test exhibits poor sensitivity because it fails to detect the presence of the virus until the disease is well established and the virus has invaded the bloodstream in substantial numbers. In contrast, an example of a test that has high sensitivity is viral-load detection using the polymerase chain reaction (PCR). High sensitivity is achieved because this type of test can detect very small quantities of the virus. High sensitivity is particularly important when the consequences of missing a diagnosis are high.

Specificity, on the other hand, is a measure of a test's ability to identify accurately patients who are free of the disease state. A test having poor specificity produces a high rate of false positives, i.e., individuals who are falsely identified as having the disease. A drawback of false positives is that they force patients to undergo unnecessary medical procedures treatments with their attendant risks, emotional and financial stresses, and which could have adverse effects on the patient's health. A feature of diseases which makes it difficult to develop diagnostic tests with high specificity is that disease mechanisms, particularly in cancer, often involve a plurality of genes and proteins. Additionally, certain proteins may be elevated for reasons unrelated to a disease state. An example of a test that has high specificity is a gene-based test that can detect a p53 mutation. Specificity is important when the cost or risk associated with further diagnostic procedures or further medical intervention are very high.

The PSA blood test has a sensitivity of 73%, specificity of 60% and predictive value of 31.5%. PSA sensitivity and specificity can be improved but involve tradeoffs. PSA sensitivity can be improved by adjusting the “normal” PSA level to a lower value for younger men or by following serum PSA values in an individual patient over time (PSA velocity). Both methods will increase the number of cancers detected, but they also increase the number of men undergoing biopsy. Conversely, specificity can be improved by using higher “normal” PSA levels for older men, by using the free-to-total PSA ratio, or by adjusting the normal value according to the size of the prostate. These three methods decrease the number of unnecessary biopsies, but they increase the risk that some cancers will be missed.

It can therefore be seen that there exists a need for a means of prostate cancer diagnosis with improved sensitivity, specificity and/or predictive value.

Sensitivity and specificity of quantitative methylation-specific polymerase chain reaction (QMSP) assay alone (without histological analysis) in prostate cancer analysis of needle biopsies has ranged from 30% sensitivity and 100% specificity to 89% sensitivity and 64% specificity (Harden et. al. J Natl Cancer Inst 2003; 95: 1634-1637). However the predictive value of said technique as a clinical screening tool was not analysed. Furthermore, genetic testing of serum and bodily fluids such as urine and saliva would reduce the need for biopsies to detect cancer and would thus be the most effective screening or monitering tool. However the development of such tests requires an extremely high degree of sensitivity and specificity. Analysis of Gstp1 gene hypermethylation (Cairns P, et al. Clin Cancer Res 7:2727-30 2001.) in urine sediment of prostate cancer patients showed that only 6 out of 22 individuals with elevated methylation levels in biopsied tumors showed corresponding hypermethylation in urine samples.

Multifactorial approach. Cancer diagnostics has traditionally relied upon the detection of single molecular markers (e.g. gene mutations, elevated PSA levels). Unfortunately, cancer is a disease state in which single markers have typically failed to detect or differentiate many forms of the disease. Thus, assays that recognize only a single marker have been shown to be of limited predictive value. A fundamental aspect of this invention is that methylation based cancer diagnostics and the screening, diagnosis, and therapeutic monitoring of such diseases will provide significant improvements over the state-of-the-art that uses single marker analyses by the use of a selection of multiple markers. The multiplexed analytical approach is particularly well suited for cancer diagnostics since cancer is not a simple disease, this multi-factorial “panel” approach is consistent with the heterogeneous nature of cancer, both cytologically and clinically.

Pronounced need in the art. Therefore, in view of the incidence of prostate hyperplasia (50% of men aged 50 or above, and 95% of men aged 75 or above) and prostate cancer (180 per 100,000), there is a substantial need in the art for the development of molecular markers that could be used to provide sensitive, accurate and non-invasive methods (as opposed to, e.g., biopsy and transrectal ultrasound) for the screening of populations to provide an early diagnosis of prostate cell proliferative disorders.

SUMMARY OF THE INVENTION

The present invention provides novel methods and nucleic acids for the detection of and/or differentiation between prostate cell proliferative disorders. The invention thereby addresses the longfelt need for novel means for the early diagnosis of prostate cell proliferative disorders, in particular for the detection of prostate cancer, prostate carcinoma and prostate neoplasms.

The invention solves this longstanding need in the art by providing a panel of genes, genomic sequences and/or regulatory regions thereof according to Table 26, the expression levels thereof being indicative of the presence of prostate cell proliferative disorders or features thereof In particular the methylation status of CpG positions thereof are indicative of the presence of prostate cell proliferative disorders or features thereof. Preferred selections and combinations of genes are provided, the methylation analysis of which enable the detection of prostate cell proliferative disorders.

Wherein the method is for the diagnosis of prostate cell proliferative disorders; (most preferably prostate cancer, prostate carcinoma and/or neoplasms) it is preferred that said genes and/or sequences are selected from the group consisting of SEQ ID NO: 1023, GSTP1, PROSTAGLANDIN E2 RECEPTOR, HISTONE H4, RASSF1A, PR-DOMAIN ZINC FINGER PROTEIN 16, LIM DOMAIN KINASE 1, ORPHAN NUCLEAR RECEPTOR NR5A2, SEQ ID) NO: 11, SEQ ID NO: 1028, LIM/HOMEOBOX PROTEIN LHX9, SEQ ID NO: 1116, SEQ ID NO: 1025, SEQ ID NO: 1020, LYSOSOMAL-ASSOCIATED MULTITRANSMEMBRANE PROTEIN, SEQ ID NO: 1019 and SEQ ID NO: 1027.

Wherein the method is for the diagnosis of prostate cell proliferative disorders, (most preferably prostate cancer, prostate carcinoma and/or neoplasms) it is also preferred that said genes and/or sequences are Gstp1 and one or more sequences selected from the group consisting of SEQ ID NO: 1017 to SEQ ID NO: 1028. Wherein the method is for the diagnosis of prostate cell proliferative disorders, (most preferably prostate cancer, prostate carcinoma and/or neoplasms) it is particularly preferred that Gstp1 and SEQ ID NO: 1023 are analysed.

Wherein the method is for the diagnosis of prostate cancer, prostate carcinoma and/or neoplasms and or differentiation thereof from benign prostate hyperplasia it is particularly preferred that SEQ ID NO: 1023 is analysed. It is also preferred that SEQ ID NO: 1023 and one or more genes and/or sequences selected from Table 26 are analysed. It is also preferred that SEQ ID NO: 1023 and one or more genes and/or sequences selected from the group consisting GSTP1, PROSTAGLANDIN E2 RECEPTOR, HISTONE H4, RASSF1A, PR-DOMAIN ZINC FINGER PROTEIN 16, LIM DOMAIN KINASE 1, ORPHAN NUCLEAR RECEPTOR NR5A2, SEQ ID NO: 11, SEQ ID NO: 1028, LIM/HOMEOBOX PROTEIN LHX9, SEQ ID NO: 1116, SEQ ID NO: 1025, SEQ ID NO: 1020, LYSOSOMAL-ASSOCIATED MULTITRANSMEMBRANE PROTEIN, SEQ ID NO: 1019 and SEQ ID NO: 1027 are analysed.

Particularly preferred are the combinations of genes described in Tables 22 and 23, in particular the analysis of SEQ ID NO: 1023 and GSTP1.

Wherein the method is for the differentiation of one of normal prostate and/or BPH from prostate cancer it is particularly preferred that the target sequence(s) comprise, or hybridizes under stringent conditions to, one or more more sequences comprising at least 16 contiguous nucleotides of the sequences according to Table 4, said contiguous nucleotides comprising at least one CpG, TpG or CpA dinucleotide sequence.

Wherein the method is for the differentiation of one of normal prostate, normal tissue from other tissues, cancer of other tissues and/or BPH from prostate cancer it is particularly preferred that the target sequence(s) comprise, or hybridizes under stringent conditions to, one or more more sequences comprising at least 16 contiguous nucleotides of the sequences according to Table 5, said contiguous nucleotides comprising at least one CpG, TpG or CpA dinucleotide sequence.

Wherein the method is for the differentiation of prostate cancer from cancers of other tissues it is particularly preferred that the target sequence(s) comprise, or hybridizes under stringent conditions to, one or more more sequences comprising at least 16 contiguous nucleotides of the sequences according to Table 6, said contiguous nucleotides comprising at least one CpG, TpG or CpA dinucleotide sequence.

It is particularly preferred that said prostate cell proliferative disorder is a prostate cancer, prostate carcinoma or prostate neoplasm. In further embodiments the invention provides methods and nucleic acids for the differentiation between non-cancerous types of prostate tissue (including BPH and normal) from prostate carcinoma. In further embodiments the invention provides methods and nucleic acids for the differentiation of prostate cancer from normal prostate tissue, tissues originating from other tissues and BPH. In further embodiments the invention provides methods and nucleic acids for the differentiation of prostate cancer form cancers originating from other tissues.

In order to enable this analysis the invention provides a method for the analysis of biological samples for genomic methylation associated with the development of prostate cell proliferative disorders. Said method is characterised in that at least one nucleic acid, or a fragment thereof, from the group consisting of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171 is/are contacted with a reagent or series of reagents capable of distinguishing between methylated and non methylated CpG dinucleotides within the genomic sequence, or sequences of interest. It is further preferred that at least one nucleic acid, or a fragment thereof, from the group consisting of SEQ ID NO: 1023, SEQ ID NO: 57, SEQ ID NO: 20, SEQ ID NO: 36, SEQ ID NO: 1171, SEQ ID NO: 51, SEQ ID NO: 31, SEQ ID NO: 24, SEQ ID NO: 11, SEQ ID NO: 1028, SEQ ID NO: 4, SEQ ID NO: 1116, SEQ ID NO: 1025, SEQ ID NO: 1020, SEQ ID NO: 18, SEQ ID NO: 1019 and SEQ ID NO: 1027 is/are contacted with a reagent or series of reagents capable of distinguishing between methylated and non methylated CpG dinucleotides within the genomic sequence, or sequences of interest.

It is particularly preferred that the method and nucleic acids according to the invention are utilised for at least one of: detection of; screening of populations for; differentiation between; monitoring of; and detection and monitoring of prostate cell proliferative disorders.

The present invention provides a method for ascertain genetic and/or epigenetic parameters of genomic DNA. The method has utility for the improved detection of and/or differentiation between prostate cell proliferative disorders. The invention presents several improvements over the state of the art. Although methylation assays for the detection of prostate cancer are known there is currently no molecular classification system for the detection of prostate cell proliferative disorders, nor one that accurately differentiates benign conditions from prostate carcinomas and neoplasms.

The source may be any suitable source. Preferably, the source of the DNA sample is selected from the group consisting of cells or cell lines, histological slides, biopsies, paraffin-embedded tissue, bodily fluids, ejaculate, urine, blood, and combinations thereof. Preferably, the source is biopsies, bodily fluids, ejaculate, urine, or blood.

Specifically, the present invention provides a method for the detection of prostate cell proliferative disorders, comprising: obtaining a biological sample comprising genomic nucleic acid(s); contacting the nucleic acid(s), or a fragment thereof, with one reagent or a plurality of reagents sufficient for distinguishing between methylated and non methylated CpG dinucleotide sequences within a target sequence of the subject nucleic acid, wherein the target sequence comprises, or hybridizes under stringent conditions to, a sequence comprising at least 16 contiguous nucleotides of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171, said contiguous nucleotides comprising at least one CpG dinucleotide sequence; and determining, based at least in part on said distinguishing, the methylation state of at least one target CpG dinucleotide sequence, or an average, or a value reflecting an average methylation state of a plurality of target CpG dinucleotide sequences.

It is particularly preferred that the target sequence comprises, or hybridizes under stringent conditions to, a sequence comprising at least 16 contiguous nucleotides of SEQ ID NO: 1023, SEQ ID NO: 57, SEQ ID NO: 20, SEQ ID NO: 36, SEQ ID NO: 1171, SEQ ID NO: 51, SEQ ID NO: 31, SEQ ID NO: 24, SEQ ID NO: 11, SEQ ID NO: 1028, SEQ ID NO: 4, SEQ ID NO: 1116, SEQ ID NO: 1025, SEQ ID NO: 1020, SEQ ID NO: 18, SEQ ID NO: 1019 and SEQ ID NO: 1027 said contiguous nucleotides comprising at least one CpG dinucleotide sequence; and determining, based at least in part on said distinguishing, the methylation state of at least one target CpG dinucleotide sequence, or an average, or a value reflecting an average methylation state of a plurality of target CpG dinucleotide sequences.

Preferably, distinguishing between methylated and non methylated CpG dinucleotide sequences within the target sequence comprises methylation state-dependent conversion or non-conversion of at least one such CpG dinucleotide sequence to the corresponding converted or non-converted dinucleotide sequence within a sequence selected from the group consisting of SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175, and contiguous regions thereof corresponding to the target sequence.

Additional embodiments provide a method for the detection of and/or differentiation between prostate cell proliferative disorders, comprising: obtaining a biological sample having subject genomic DNA; extracting the genomic DNA; treating the genomic DNA, or a fragment thereof, with one or more reagents to convert 5-position unmethylated cytosine bases to uracil or to another base that is detectably dissimilar to cytosine in terms of hybridization properties; contacting the treated genomic DNA, or the treated fragment thereof, with an amplification enzyme and at least two primers comprising, in each case a contiguous sequence at least 9 nucleotides in length that is complementary to, or hybridizes under moderately stringent or stringent conditions to a sequence selected from the group consisting SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175, and complements thereof, wherein the treated DNA or the fragment thereof is either amplified to produce an amplificate, or is not amplified; and determining, based on a presence or absence of, or on a property of said amplificate, the methylation state of at least one CpG dinucleotide sequence selected from the group consisting of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO: 1171, or an average, or a value reflecting an average methylation state of a plurality of CpG dinucleotide sequences thereof. Preferably, at least one such hybridizing nucleic acid molecule or peptide nucleic acid molecule is bound to a solid phase. Preferably, determining comprises use of at least one method selected from the group consisting of: hybridizing at least one nucleic acid molecule comprising a contiguous sequence at least 9 nucleotides in length that is complementary to, or hybridizes under moderately stringent or stringent conditions to a sequence selected from the group consisting of SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175, and complements thereof; hybridizing at least one nucleic acid molecule, bound to a solid phase, comprising a contiguous sequence at least 9 nucleotides in length that is complementary to, or hybridizes under moderately stringent or stringent conditions to a sequence selected from the group consisting of SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175, and complements thereof; hybridizing at least one nucleic acid molecule comprising a contiguous sequence at least 9 nucleotides in length that is complementary to, or hybridizes under moderately stringent or stringent conditions to a sequence selected from the group consisting of SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175, and complements thereof, and extending at least one such hybridized nucleic acid molecule by at least one nucleotide base; and sequencing of the amplificate.

Further embodiments provide a method for the detection of and/or differentiation between prostate cell proliferative disorders, comprising: obtaining a biological sample having subject genomic DNA; extracting the genomic DNA; contacting the genomic DNA, or a fragment thereof, comprising one or more sequences selected from the group consisting of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO: 1171 or a sequence that hybridizes under stringent conditions thereto, with one or more methylation-sensitive restriction enzymes, wherein the genomic DNA is either digested thereby to produce digestion fragments, or is not digested thereby; and determining, based on a presence or absence of, or on property of at least one such fragment, the methylation state of at least one CpG dinucleotide sequence of one or more sequences selected from the group consisting of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO: 1171, or an average, or a value reflecting an average methylation state of a plurality of CpG dinucleotide sequences thereof. Preferably, the digested or undigested genomic DNA is amplified prior to said determining.

Additional embodiments provide novel genomic and chemically modified nucleic acid sequences, as well as oligonucleotides and/or PNA-oligomers for analysis of cytosine methylation patterns within sequences from the group consisting of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171.

BRIEF DESCRIPTION OF THE DRAWINGS

FIGS. 1 to 3 show ranked matrices produced from bisulfite sequencing data. The overall matrix represents the sequencing data for one fragment. Each row of the matrix represents a single CpG site within the fragment and each column represents an individual sample. The bar on the left represents a scale of the percent of methylation, with the degree of methylation represented by the shade of each position within the column from black representing 100% methylation to light grey representing 0% methylation. No data was available at white positions.

FIG. 1 shows the sequencing data of a fragment of the gene Prostaglandin E2 Receptor, EP4 Subtype wherein the sequenced samples are from prostate carcinoma.

FIG. 2 shows the sequencing data of a fragment of the gene Orphan Nuclear Receptor (a-1Fetoprotein Transcription Factor wherein the sequenced samples are from prostate carcinoma.

FIG. 3 shows the sequencing data of a fragment of the gene 1-Acyl-SN-Glycerol-3-Phosphate Acyltransferase Gamma wherein the sequenced samples are from prostate carcinoma

FIG. 4 shows Normal prostate and BPH vs. Prostate Cancer marker rankings according to Example 3. Each individual genomic region of interest is represented as a point. The left plot gives uncorrected p-values from the genewise logistic regression model. Lower and upper dotted lines show 5% Bonferroni and FDR limits respectively. The X-axis shows the p values for the individual CpG positions. The p values are the probabilities that the observed distribution occurred by chance in the data set. The right plot gives accuracy, sensitivity and specificity of a linear SVM trained on methylation measurements from all oligonucleotides. The accuracy of each genomic region is represented as black squares, the specificity as unfilled diamonds, the sensitivity as unfilled squares. The accuracy as measured on the X-axis shows the fraction of correctly classified samples.

FIG. 5 shows the best 12 markers for Normal prostate and BPH vs. Prostate Cancer differentiation according to Example 3. Normal prostate and BPH samples are shown on the left. Prostate cancer is on the right. Each column represents one sample; each row one oligonucleotide. Oligonucleotides are grouped by candidate marker. The indicated markers are ordered from top to bottom with increasing accuracy. On the right side of each marker, Bonferroni corrected p-values are listed. Methylation data are centered and normalized to one standard deviation for individual oligonucleotides. The color represents the relative distance of the oligonucleotide methylation status from the mean value. Green color represents hypomethylated CpGs within an oligonucleotide while red indicates hypermethylated CpGs within an oligonucleotide.

FIG. 6 shows Normal Prostate, BPH and Other Tissues vs. Prostate Cancer marker rankings according to Example 3. Each individual genomic region of interest is represented as a point. The left plot gives uncorrected p-values from the genewise logistic regression model. Lower and upper dotted lines show 5% Bonferroni and FDR limits respectively. The X-axis shows the p values for the individual CpG positions. The p values are the probabilities that the observed distribution occurred by chance in the data set. The right plot shows accuracy, sensitivity and specificity of a linear SVM trained on methylation measurements from all oligonucleotides. The accuracy of each genomic region is represented as black squares, the specificity as unfilled diamonds, the sensitivity as unfilled squares. The accuracy as measured on the X-axis shows the fraction of correctly classified samples.

FIG. 7 shows the best 12 markers for Normal Prostate, BPH and Other Tissues vs. Prostate Cancer differentiation according to Example 3. Normal Prostate, BPH and Other Tissues samples are shown on the left. The ‘Other Tissues’ included normal tissue from other organs and cancer of other origins than prostate, according to table 7. Prostate cancer is on the right. Each column represents one sample; each row one oligonucleotide. Oligonucleotides are grouped by candidate marker. The indicated markers are ordered from top to bottom with increasing accuracy. On the right side of each marker, Bonferroni corrected p-values are listed. Methylation data are centered and normalized to one standard deviation for individual oligonucleotides. The color represents the relative distance of the oligonucleotide methylation status from the mean value. Green color represents hypomethylated CpGs within an oligonucleotide while red indicates hypermethylated CpGs within an oligonucleotide.

FIG. 8 shows Normal Prostate, BPH and Other Tissues vs. Prostate Cancer marker rankings according to Example 3. Each individual genomic region of interest is represented as a point. The left plot gives uncorrected p-values from the genewise logistic regression model. Lower and upper dotted lines show 5% Bonferroni and FDR limits respectively. The X-axis shows the p values for the individual CpG positions. The p values are the probabilities that the observed distribution occurred by chance in the data set. The following cancers are shown from left to right:bladder, melanoma, testes, kidney, endometrial cancer, lung, breast, pancreatic, liver, ovarian, salivary gland, and prostate.

DETAILED DESCRIPTION OF THE INVENTION
Definitions:

As used herein the term expression shall be taken to mean the transcription and translation of a gene. The level of expression of a gene may be determined by the analysis of any factors associated with or indicative of the level of transcription and translation of a gene including but not limited to methylation analysis, loss of heterozygosity (hereinafter also referred to as LOH), RNA expression levels and protein expression levels.

Furthermore the activity of the transcribed gene may be affected by genetic variations such as but not limited genetic mutations (including but not limited to SNPs, point mutations, deletions, insertions, repeat length, rearrangements and other polymorphisms).

The term “Observed/Expected Ratio” (“O/E Ratio”) refers to the frequency of CpG dinucleotides within a particular DNA sequence, and corresponds to the [number of CpG sites/(number of C bases×number of G bases)].

The term “CpG island” refers to a contiguous region of genomic DNA that satisfies the criteria of (1) having a frequency of CpG dinucleotides corresponding to an “Observed/Expected Ratio” >0.6, and (2) having a “GC Content” >0.5. CpG islands are typically, but not always, between about 0.2 to about 1 kb, or to about 2 kb in length.

The term “methylation state” or “methylation status” refers to the presence or absence of 5-methylcytosine (“5-mCyt”) at one or a plurality of CpG dinucleotides within a DNA sequence. Methylation states at one or more particular CpG methylation sites (each having two CpG CpG dinucleotide sequences) within a DNA sequence include “unmethylated,” “fully-methylated” and “hemi-methylated.”

The term “hemi-methylation” or “hemimethylation” refers to the methylation state of a palindromic CpG methylation site, where only a single cytosine in one of the two CpG dinucleotide sequences of the palindromic CpG methylation site is methylated (e.g. 5′-CC^MGG-3′ (top strand): 3′-GGCC-5′ (bottom strand)).

The term ‘AUC’ as used herein is an abbreviation for the area under a curve. In particular it refers to the area under a Receiver Operating Characteristic (ROC) curve. The ROC curve is a plot of the true positive rate against the false positive rate for the different possible cutpoints of a diagnostic test. It shows the tradeoff between sensitivity and specificity depending on the selected cutpoint (any increase in sensitivity will be accompanied by a decrease in specificity).The area under an ROC curve (AUC) is a measure for the accuracy of a diagnostic test (the larger the area the better, optimum is 1, a random test would have a ROC curve lying on the diagonal with an area of 0.5; for reference: J. P. Egan. Signal Detection Theory and ROC Analysis, Academic Press, New York, 1975).

The term “hypermethylation” refers to the average methylation state corresponding to an increased presence of 5-mCyt at one or a plurality of CpG dinucleotides within a DNA sequence of a test DNA sample, relative to the amount of 5-mCyt found at corresponding CpG dinucleotides within a normal control DNA sample.

The term “hypomethylation” refers to the average methylation state corresponding to a decreased presence of 5-mCyt at one or a plurality of CpG dinucleotides within a DNA sequence of a test DNA sample, relative to the amount of 5-mCyt found at corresponding CpG dinucleotides within a normal control DNA sample.

The term “microarray” refers broadly to both “DNA microarrays,” and ‘DNA chip(s),’ as recognized in the art, encompasses all art-recognized solid supports, and encompasses all methods for affixing nucleic acid molecules thereto or synthesis of nucleic acids thereon.

“Genetic parameters” are mutations and polymorphisms of genes and sequences further required for their regulation. To be designated as mutations are, in particular, insertions, deletions, point mutations, inversions and polymorphisms and, particularly preferred, SNPs (single nucleotide polymorphisms).

“Epigenetic parameters” are, in particular, cytosine methylations. Further epigenetic parameters include, for example, the acetylation of histones which, however, cannot be directly analyzed using the described method but which, in turn, correlate with the DNA methylation.

The term “bisulfite reagent” refers to a reagent comprising bisulfite, disulfite, hydrogen sulfite or combinations thereof, useful as disclosed herein to distinguish between methylated and unmethylated CpG dinucleotide sequences.

The term “Methylation assay” refers to any assay for determining the methylation state of one or more CpG dinucleotide sequences within a sequence of DNA.

The term “MS.AP-PCR” (Methylation-Sensitive Arbitrarily-Primed Polymerase Chain Reaction) refers to the art-recognized technology that allows for a global scan of the genome using CG-rich primers to focus on the regions most likely to contain CpG dinucleotides, and described by Gonzalgo et al., Cancer Research 57:594-599, 1997.

The term “MethyLight™” refers to the art-recognized fluorescence-based real-time PCR technique described by Eads et al., Cancer Res. 59:2302-2306, 1999.

The term “HeavyMethyl™” assay, in the embodiment thereof implemented herein, refers to an assay, wherein methylation specific blocking probes (also referred to herein as blockers) covering CpG positions between, or covered by the amplification primers enable methylation-specific selective amplification of a nucleic acid sample.

The term “HeavyMethyl™ MethyLight™” assay, in the embodiment thereof implemented herein, refers to a HeavyMethyl™ MethyLight™ assay, which is a variation of the MethyLight™ assay, wherein the MethyLight™ assay is combined with methylation specific blocking probes covering CpG positions between the amplification primers.

The term “Ms-SNuPE” (Methylation-sensitive Single Nucleotide Primer Extension) refers to the art-recognized assay described by Gonzalgo & Jones, Nucleic Acids Res. 25:2529-2531, 1997.

The term “MSP” (Methylation-specific PCR) refers to the art-recognized methylation assay described by Herman et al. Proc. Natl. Acad. Sci. USA 93:9821-9826, 1996, and by U.S. Pat. No. 5,786,146.

The term “COBRA” (Combined Bisulfite Restriction Analysis) refers to the art-recognized methylation assay described by Xiong & Laird, Nucleic Acids Res. 25:2532-2534, 1997.

The term “MCA” (Methylated CpG Island Amplification) refers to the methylation assay described by Toyota et al., Cancer Res. 59:2307-12, 1999, and in WO 00/26401A1.

The term “hybridization” is to be understood as a bond of an oligonucleotide to a complementary sequence along the lines of the Watson-Crick base pairings in the sample DNA, forming a duplex structure. “Stringent hybridization conditions,” as defined herein, involve hybridizing at 68° C. in 5×SSC/5× Denhardt's solution/1.0% SDS, and washing in 0.2×SSC/0.1% SDS at room temperature, or involve the art-recognized equivalent thereof (e.g., conditions in which a hybridization is carried out at 60° C. in 2.5×SSC buffer, followed by several washing steps at 37° C. in a low buffer concentration, and remains stable). Moderately stringent conditions, as defined herein, involve including washing in 3×SSC at 42° C., or the art-recognized equivalent thereof. The parameters of salt concentration and temperature can be varied to achieve the optimal level of identity between the probe and the target nucleic acid. Guidance regarding such conditions is available in the art, for example, by Sambrook et al., 1989, Molecular Cloning, A Laboratory Manual, Cold Spring Harbor Press, N.Y.; and Ausubel et al. (eds.), 1995, Current Protocols in Molecular Biology, (John Wiley & Sons, N.Y.) at Unit 2.10.

The terms “array SEQ ID NO,” “composite array SEQ ID NO,” or “composite array sequence” refer to a sequence, hypothetical or otherwise, consisting of a head-to-tail (5′ to 3′) linear composite of all individual contiguous sequences of a subject array (e.g., a head-to-tail composite of SEQ ID NO:1-71, in that order).

The terms “array SEQ ID NO node,” “composite array SEQ ID NO node,” or “composite array sequence node” refer to a junction between any two individual contiguous sequences of the “array SEQ ID NO,” the “composite array SEQ ID NO,” or the “composite array sequence.”

In reference to composite array sequences, the phrase “contiguous nucleotides” refers to a contiguous sequence region of any individual contiguous sequence of the composite array, but does not include a region of the composite array sequence that includes a “node,” as defined herein above.

Overview:

The present invention provides molecular genetic markers that have novel utility for the detection of and/or differentiation between prostate cell proliferative disorders. It is particularly preferred that the method and nucleic acids according to the invention are utilised for at least one of: detection of; screening of populations for; differentiation between; monitoring of; and detection and monitoring of prostate cell proliferative disorders.

Bisulfite modification of DNA is an art-recognized tool used to assess CpG methylation status. 5-methylcytosine is the most frequent covalent base modification in the DNA of eukaryotic cells. It plays a role, for example, in the regulation of the transcription, in genetic imprinting, and in tumorigenesis. Therefore, the identification of 5-methylcytosine as a component of genetic information is of considerable interest. However, 5-methylcytosine positions cannot be identified by sequencing, because 5-methylcytosine has the same base pairing behavior as cytosine. Moreover, the epigenetic information carried by 5-methylcytosine is completely lost during, e.g., PCR amplification.

The most frequently used method for analyzing DNA for the presence of 5-methylcytosine is based upon the specific reaction of bisulfite with cytosine whereby, upon subsequent alkaline hydrolysis, cytosine is converted to uracil which corresponds to thymine in its base pairing behavior. Significantly, however, 5-methylcytosine remains unmodified under these conditions. Consequently, the original DNA is converted in such a manner that methylcytosine, which originally could not be distinguished from cytosine by its hybridization behavior, can now be detected as the only remaining cytosine using standard, art-recognized molecular biological techniques, for example, by amplification and hybridization, or by sequencing. All of these techniques are based on differential base pairing properties, which can now be fully exploited.

The prior art, in terms of sensitivity, is defined by a method comprising enclosing the DNA to be analyzed in an agarose matrix, thereby preventing the diffusion and renaturation of the DNA (bisulfite only reacts with single-stranded DNA), and replacing all precipitation and purification steps with fast dialysis (Olek A, et al., A modified and improved method for bisulfite based cytosine methylation analysis, Nucleic Acids Res. 24:5064-6, 1996). It is thus possible to analyze individual cells for methylation status, illustrating the utility and sensitivity of the method. An overview of art-recognized methods for detecting 5-methylcytosine is provided by Rein, T., et al., Nucleic Acids Res., 26: 2255, 1998.

The bisulfite technique, barring few exceptions (e.g., Zeschnigk M, et al., Eur J Hum Genet. 5:94-98, 1997), is currently only used in research. In all instances, short, specific fragments of a known gene are amplified subsequent to a bisulfite treatment, and either completely sequenced (Olek & Walter, Nat Genet. 1997 17:275-6, 1997), subjected to one or more primer extension reactions (Gonzalgo & Jones, Nucleic Acids Res., 25:2529-31, 1997; WO 95/00669; U.S. Pat. No. 6,251,594) to analyze individual cytosine positions, or treated by enzymatic digestion (Xiong & Laird, Nucleic Acids Res., 25:2532-4, 1997). Detection by hybridization has also been described in the art (Olek et al., WO 99/28498). Additionally, use of the bisulfite technique for methylation detection with respect to individual genes has been described (Grigg & Clark, Bioessays, 16:431-6, 1994; Zeschnigk M, et al., Hum Mol Genet., 6:387-95, 1997; Feil R, et al., Nucleic Acids Res., 22:695-, 1994; Martin V, et al., Gene, 157:261-4, 1995; WO 9746705 and WO 9515373).

In one aspect, the present invention provides for the use of the bisulfite technique , in combination with one or more methylation assays, for determination of the methylation status of CpG dinucleotide sequences within sequences from the group consisting of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171.

According to the present invention, determination of the methylation status of CpG dinucleotide sequences within sequences from the group consisting of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO: 1171 has utility for the detection of and/or differentiation between prostate cell proliferative disorders.

Methylation Assay Procedures. Various methylation assay procedures are known in the art, and can be used in conjunction with the present invention. These assays allow for determination of the methylation state of one or a plurality of CpG dinucleotides (e.g., CpG islands) within a DNA sequence. Such assays involve, among other techniques, DNA sequencing of bisulfite-treated DNA, PCR (for sequence-specific amplification), Southern blot analysis, and use of methylation-sensitive restriction enzymes.

For example, genomic sequencing has been simplified for analysis of DNA methylation patterns and 5-methylcytosine distribution by using bisulfite treatment (Frommer et al., Proc. Natl. Acad. Sci. USA 89:1827-1831, 1992). Additionally, restriction enzyme digestion of PCR products amplified from bisulfite-converted DNA is used, e.g., the method described by Sadri & Hornsby (Nucl. Acids Res. 24:5058-5059, 1996), or COBRA (Combined Bisulfite Restriction Analysis) (Xiong & Laird, Nucleic Acids Res. 25:2532-2534, 1997). COBRA. COBRA analysis is a quantitative methylation assay useful for determining DNA methylation levels at specific gene loci in small amounts of genomic DNA (xiong & Laird, Nucleic Acids Res. 25:2532-2534, 1997). Briefly, restriction enzyme digestion is used to reveal methylation-dependent sequence differences in PCR products of sodium bisulfite-treated DNA. Methylation-dependent sequence differences are first introduced into the genomic DNA by standard bisulfite treatment according to the procedure described by Frommer et al. (Proc. Natl. Acad. Sci. USA 89:1827-1831, 1992). PCR amplification of the bisulfite converted DNA is then performed using primers specific for the CpG islands of interest, followed by restriction endonuclease digestion, gel electrophoresis, and detection using specific, labeled hybridization probes. Methylation levels in the original DNA sample are represented by the relative amounts of digested and undigested PCR product in a linearly quantitative fashion across a wide spectrum of DNA methylation levels. In addition, this technique can be reliably applied to DNA obtained from microdissected paraffin-embedded tissue samples. Typical reagents (e.g., as might be found in a typical COBRA-based kit) for COBRA analysis may include, but are not limited to: PCR primers for specific gene (or bisulfite treated DNA sequence or CpG island); restriction enzyme and appropriate buffer; gene-hybridization oligo; control hybridization oligo; kinase labeling kit for oligo probe; and labelled nucleotides. Additionally, bisulfite conversion reagents may include: DNA denaturation buffer; sulfonation buffer; DNA recovery reagents or kits (e.g., precipitation, ultrafiltration, affinity column); desulfonation buffer; and DNA recovery components.

Preferably, assays such as “MethyLight™” (a fluorescence-based real-time PCR technique) (Eads et al., Cancer Res. 59:2302-2306, 1999), Ms-SNuPE (Methylation-sensitive Single Nucleotide Primer Extension) reactions (Gonzalgo & Jones, Nucleic Acids Res. 25:2529-2531, 1997), methylation-specific PCR (“MSP”; Herman et al., Proc. Natl. Acad. Sci. USA 93:9821-9826, 1996; U.S. Pat. No. 5,786,146), and methylated CpG island amplification (“MCA”; Toyota et al., Cancer Res. 59:2307-12, 1999) are used alone or in combination with other of these methods.

MethyLight™. The MethyLight™ assay is a high-throughput quantitative methylation assay that utilizes fluorescence-based real-time PCR (TaqMan™) technology that requires no further manipulations after the PCR step (Eads et al., Cancer Res. 59:2302-2306, 1999). Briefly, the MethyLight™ process begins with a mixed sample of genomic DNA that is converted, in a sodium bisulfite reaction, to a mixed pool of methylation-dependent sequence differences according to standard procedures (the bisulfite process converts unmethylated cytosine residues to uracil). Fluorescence-based PCR is then performed either in an “unbiased” (with primers that do not overlap known CpG methylation sites) PCR reaction, or in a “biased” (with PCR primers that overlap known CpG dinucleotides) reaction. Sequence discrimination can occur either at the level of the amplification process or at the level of the fluorescence detection process, or both.

The MethyLight™ assay may be used as a quantitative test for methylation patterns in the genomic DNA sample, wherein sequence discrimination occurs at the level of probe hybridization. In this quantitative version, the PCR reaction provides for unbiased amplification in the presence of a fluorescent probe that overlaps a particular putative methylation site. An unbiased control for the amount of input DNA is provided by a reaction in which neither the primers, nor the probe overlie any CpG dinucleotides. Alternatively, a qualitative test for genomic methylation is achieved by probing of the biased PCR pool with either control oligonucleotides that do not “cover” known methylation sites (a fluorescence-based version of the “MSP” technique), or with oligonucleotides covering potential methylation sites.

The MethyLight™ process can by used with a “TaqMan®” probe in the amplification process. For example, double-stranded genomic DNA is treated with sodium bisulfite and subjected to one of two sets of PCR reactions using TaqMan® probes; e.g., with either biased primers and TaqMan® probe, or unbiased primers and TaqMan® probe. The TaqMan® probe is dual-labeled with fluorescent “reporter” and “quencher” molecules, and is designed to be specific for a relatively high GC content region so that it melts out at about 10° C. higher temperature in the PCR cycle than the forward or reverse primers. This allows the TaqMan® probe to remain fully hybridized during the PCR annealing/extension step. As the Taq polymerase enzymatically synthesizes a new strand during PCR, it will eventually reach the annealed TaqMan® probe. The Taq polymerase 5′ to 3′ endonuclease activity will then displace the TaqMan® probe by digesting it to release the fluorescent reporter molecule for quantitative detection of its now unquenched signal using a real-time fluorescent detection system.

Typical reagents (e.g., as might be found in a typical MethyLight™-based kit) for MethyLight™ analysis may include, but are not limited to: PCR primers for specific gene (or bisulfite treated DNA sequence or CpG island); TaqMan® probes; optimized PCR buffers and deoxynucleotides; and Taq polymerase.

Ms-SNuPE. The Ms-SNuPE technique is a quantitative method for assessing methylation differences at specific CpG sites based on bisulfite treatment of DNA, followed by single-nucleotide primer extension (Gonzalgo & Jones, Nucleic Acids Res. 25:2529-2531, 1997). Briefly, genomic DNA is reacted with sodium bisulfite to convert umnethylated cytosine to uracil while leaving 5-methylcytosine unchanged. Amplification of the desired target sequence is then performed using PCR primers specific for bisulfite-converted DNA, and the resulting product is isolated and used as a template for methylation analysis at the CpG site(s) of interest. Small amounts of DNA can be analyzed (e.g., microdissected pathology sections), and it avoids utilization of restriction enzymes for determining the methylation status at CpG sites.

Typical reagents (e.g., as might be found in a typical Ms-SNuPE-based kit) for Ms-SNuPE analysis may include, but are not limited to: PCR primers for specific gene (or bisulfite treated DNA sequence or CpG island); optimized PCR buffers and deoxynucleotides; gel extraction kit; positive control primers; Ms-SNuPE primers for specific gene; reaction buffer (for the Ms-SNuPE reaction); and labelled nucleotides. Additionally, bisulfite conversion reagents may include: DNA denaturation buffer; sulfonation buffer; DNA recovery regents or kit (e.g., precipitation, ultrafiltration, affinity column); desulfonation buffer; and DNA recovery components.

MSP. MSP (methylation-specific PCR) allows for assessing the methylation status of virtually any group of CpG sites within a CpG island, independent of the use of methylation-sensitive restriction enzymes (Herman et al. Proc. Natl. Acad. Sci. USA 93:9821-9826, 1996; U.S. Pat. No. 5,786,146). Briefly, DNA is modified by sodium bisulfite converting all unmethylated, but not methylated cytosines to uracil, and subsequently amplified with primers specific for methylated versus unmethylated DNA. MSP requires only small quantities of DNA, is sensitive to 0.1% methylated alleles of a given CpG island locus, and can be performed on DNA extracted from paraffin-embedded samples. Typical reagents (e.g., as might be found in a typical MSP-based kit) for MSP analysis may include, but are not limited to: methylated and unmethylated PCR primers for specific gene (or bisulfite treated DNA sequence or CpG island), optimized PCR buffers and deoxynucleotides, and specific probes.

MCA. The MCA technique is a method that can be used to screen for altered methylation patterns in genomic DNA, and to isolate specific sequences associated with these changes (Toyota et al., Cancer Res. 59:2307-12, 1999). Briefly, restriction enzymes with different sensitivities to cytosine methylation in their recognition sites are used to digest genomic DNAs from primary tumors, cell lines, and normal tissues prior to arbitrarily primed PCR amplification. Fragments that show differential methylation are cloned and sequenced after resolving the PCR products on high-resolution polyacrylamide gels. The cloned fragments are then used as probes for Southern analysis to confirm differential methylation of these regions. Typical reagents (e.g., as might be found in a typical MCA-based kit) for MCA analysis may include, but are not limited to: PCR primers for arbitrary priming Genomic DNA; PCR buffers and nucleotides, restriction enzymes and appropriate buffers; gene-hybridization oligos or probes; control hybridization oligos or probes.
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GENOMIC SEQUENCES ACCORDING TO SEQ ID NO: 1 TO SEQ ID NO: 59, SEQ ID NO: 1017 TO SEQ ID NO: 1028, SEQ ID NO: 1116 AND SEQ ID NO: 1171, AND NON-NATURALLY OCCURING TREATED VARIANTS THEREOF ACCORDING TO SEQ ID NOS: 60-295, 1029-1076, 1117-1120, 1172-1175 WERE DETERMINED TO HAVE UTILITY FOR THE DETECTION, CLASSIFICATION AND/OR MONITORING OF PROSTATE CELL PROLIFERATIVE DISORDERS.

In one embodiment the invention provides a method for the detection of and/or differentiation between prostate cell proliferative disorders in a subject. Said method comprises the following steps

i) determining the expression levels of one or more genes or gene sequences according to Table 26 and/or regulatory regions thereof

ii) determining the presence or absence of a prostate cell proliferative disorders according to said level of expression.

Wherein the method is for the diagnosis of prostate cell proliferative disorders, (most preferably prostate cancer, prostate carcinoma and/or neoplasms) it is preferred that said genes and/or sequences are selected from the group consisting of SEQ ID NO: 1023, GSTP1, PROSTAGLANDIN E2 RECEPTOR, HISTONE H4, RASSF1A, PR-DOMAIN ZINC FINGER PROTEIN 16, LIM DOMAIN KINASE 1, ORPHAN NUCLEAR RECEPTOR NR5A2, SEQ ID NO: 11, SEQ ID NO: 1028, LIM/HOMEOBOX PROTEIN LHX9, SEQ ID NO: 1116, SEQ ID NO: 1025, SEQ ID NO: 1020, LYSOSOMAL-ASSOCIATED MULTITRANSMEMBRANE PROTEIN, SEQ ID NO: 1019 and SEQ ID NO: 1027.

It is also preferred that SEQ ID NO: 1023 and one or more genes and/or sequences selected from the group consisting GSTP1, PROSTAGLANDIN E2 RECEPTOR, HISTONE H4, RASSF1A, PR-DOMAIN ZINC FINGER PROTEIN 16, LIM DOMAIN KINASE 1, ORPHAN NUCLEAR RECEPTOR NR5A2, SEQ ID NO: 11, SEQ ID NO: 1028, LIM/HOMEOBOX PROTEIN LHX9, SEQ ID NO: 1116, SEQ ID NO: 1025, SEQ ID NO: 1020, LYSOSOMAL-ASSOCIATED MULTITRANSMEMBRANE PROTEIN, SEQ ID NO: 1019 and SEQ ID NO: 1027 are analysed.

Particularly preferred are the combinations of genes described in Tables 22 and 23, in particular the analysis of SEQ ID NO: 1023 and GSTP1.

Said expression level may be determined by any means standard in the art including but not limited to methylation analysis, loss of heterozygosity (hereinafter also referred to as LOH), RNA expression levels and protein expression levels.

Said use of the genes and/or sequences may be enabled by means of any analysis of the expression of the gene, by means of mRNA expression analysis or protein expression analysis. However, in the most preferred embodiment of the invention, the detection of and/or differentiation between prostate cell proliferative disorders is enabled by means of analysis of the methylation status of said genes or genomic sequences and their promoter or regulatory elements. Methods for the methylation analysis of genes are described herein.

In one embodiment the method discloses the use of one or more genes or genomic sequences selected from the group consisting the genes according to Table 26 as markers for the detection of and/or differentiation between prostate cell proliferative disorders.

Wherein the method is for the diagnosis of prostate cell proliferative disorders, (most preferably prostate cancer, prostate carcinoma and/or neoplasms) it is preferred that said genes and/or sequences are selected from the group consisting of SEQ ID NO: 1023, GSTP1, PROSTAGLANDIN E2 RECEPTOR, HISTONE H4, RASSF1A, PR-DOMAIN ZINC FINGER PROTEIN 16, LIM DOMAIN KINASE 1, ORPHAN NUCLEAR RECEPTOR NR5A2, SEQ ID NO: 11, SEQ ID NO: 1028, LIM/HOMEOBOX PROTEIN LHX9, SEQ ID NO: 1116, SEQ ID NO: 1025, SEQ ID NO: 1020, LYSOSOMAL-ASSOCIATED MULTITRANSMEMBRANE PROTEIN, SEQ ID NO: 1019 and SEQ ID NO: 1027.

Particularly preferred are the combinations of genes described in Tables 22 and 23, in particular the analysis of SEQ ID NO: 1023 and GSTP1.

Aberrant levels of mRNA expression of the genes, genomic sequences or genes regulated by genomic sequences according to Table 26 are associated with presence of prostate cell proliferative disorders. Accordingly, increased or decreased levels of expression of said genes or sequences are associable with factors associated with the presence of prostate cell proliferative disorders; and are indicative of sub-types thereof.

To detect the presence of mRNA encoding a gene or genomic sequence in a detection of and/or differentiation between prostate cell proliferative disorders, a sample is obtained from a patient. Preferably, the source of the DNA sample is selected from the group consisting of cells or cell lines, histological slides, biopsies, paraffin-embedded tissue, bodily fluids, ejaculate, urine, blood, and combinations thereof Preferably, the source is biopsies, bodily fluids, ejaculate, urine, or blood. The sample may be treated to extract the nucleic acids contained therein. The resulting nucleic acid from the sample is subjected to gel electrophoresis or other separation techniques. Detection involves contacting the nucleic acids and in particular the mRNA of the sample with a DNA sequence serving as a probe to form hybrid duplexes. The stringency of hybridisation is determined by a number of factors during hybridisation and during the washing procedure, including temperature, ionic strength, length of time and concentration of formamide. These factors are outlined in, for example, Sambrook et al. molecular Cloning: A Laboratory Manual, 2d ed., 1989). Detection of the resulting duplex is usually accomplished by the use of labelled probes. Alternatively, the probe may be unlabeled, but may be detectable by specific binding with a ligand which is labelled, either directly or indirectly. Suitable labels and methods for labelling probes and ligands are known in the art, and include, for example, radioactive labels which may be incorporated by known methods (e.g., nick translation or kinasing), biotin, fluorescent groups, chemiluminescent groups (e.g., dioxetanes, particularly triggered dioxetanes), enzymes, antibodies, and the like.

In order to increase the sensitivity of the detection in a sample of mRNA transcribed from the gene or genomic sequence, the technique of reverse transcription/polymerisation chain reaction can be used to amplify cDNA transcribed from the mRNA. The method of reverse transcription /PCR is well known in the art (for example, see Watson and Fleming, supra).

The reverse transcription /PCR method can be performed as follows. Total cellular RNA is isolated by, for example, the standard guanidium isothiocyanate method and the total RNA is reverse transcribed. The reverse transcription method involves synthesis of DNA on a template of RNA using a reverse transcriptase enzyme and a 3′ end primer. Typically, the primer contains an oligo(dT) sequence. The cDNA thus produced is then amplified using the PCR method and EYA4 specific primers. (Belyavsky et al, Nucl Acid Res 17:2919-2932, 1989; Krug and Berger, Methods in Enzymology, Academic Press, N.Y., Vol. 152, pp. 316-325, 1987 which are incorporated by reference)

Aberrant levels of polypeptide expression of the polypeptides encoded by the genes, genomic sequences or genes regulated by genomic sequences of the group consisting all genes and genomic sequences of genomic regions listed in Table 26 are associated with the detection of and/or differentiation between prostate cell proliferative disorders. Accordingly over or under expression of said polypeptides are associable with the presence of prostate carcinoma, prostate neoplasms and other prostate cell proliferative disorders.

Wherein the method is for the diagnosis of prostate cell proliferative disorders, (most preferably prostate cancer, prostate carcinoma and/or neoplasms) it is preferred that said genes and/or sequences are selected from the group consisting of SEQ ID NO: 1023, GSTP1, PROSTAGLANDIN E2 RECEPTOR, HISTONE H4, RASSF1A, PR-DOMAIN ZINC FINGER PROTEIN 16, LIM DOMAIN KINASE 1, ORPHAN NUCLEAR RECEPTOR NR5A2, SEQ ID NO: 11, SEQ ID NO: 1028, LIM/HOMEOBOX PROTEIN LHX9, SEQ ID NO: 1116, SEQ ID NO: 1025, SEQ ID NO: 1020, LYSOSOMAL-ASSOCIATED MULTITRANSMEMBRANE PROTEIN, SEQ ID NO: 1019 and SEQ ID NO: 1027.

Particularly preferred are the combinations of genes described in Tables 22 and 23, in particular the analysis of SEQ ID NO: 1023 and GSTP1.

Any method known in the art for detecting proteins can be used. Such methods include, but are not limited to immunodiffusion, immunoelectrophoresis, immunochemical methods, binder-ligand assays, immunohistochemical techniques, agglutination and complement assays. (for example see Basic and Clinical Immunology, Sites and Terr, eds., Appleton & Lange, Norwalk, Conn. pp 217-262, 1991 which is incorporated by reference). Preferred are binder-ligand immunoassay methods including reacting antibodies with an epitope or epitopes and competitively displacing a labelled protein or derivative thereof.

Certain embodiments of the present invention comprise the use of antibodies specific to the polypeptide encoded by the genes or genomic sequences of the group consisting all genes and genomic sequences of genomic regions listed in Table 26.

Wherein the method is for the diagnosis of prostate cell proliferative disorders, (most preferably prostate cancer, prostate carcinoma and/or neoplasms) it is preferred that said genes and/or sequences are selected from the group consisting of SEQ ID NO: 1023, GSTP1, PROSTAGLANDIN E2 RECEPTOR, HISTONE H4, RASSF1A, PR-DOMAIN ZINC FINGER PROTEIN 16, LIM DOMAIN KINASE 1, ORPHAN NUCLEAR RECEPTOR NR5A2, SEQ ID NO: 11, SEQ ID NO: 1028, LIM/OMEOBOX PROTEIN LHX9, SEQ ID NO: 1116, SEQ ID NO: 1025, SEQ ID NO: 1020, LYSOSOMAL-ASSOCIATED MULTITRANSMEMBRANE PROTEIN, SEQ ID NO: 1019 and SEQ ID NO: 1027

Particularly preferred are the combinations of genes described in Tables 22 and 23, in particular the analysis of SEQ ID NO: 1023 and GSTP1.

Such antibodies may be useful for detection applications, by comparing a patient's levels of prostate marker expression to expression of the same markers in healthy individuals. In certain embodiments production of monoclonal or polyclonal antibodies can be induced by the use of the coded polypeptide as antigene. Such antibodies may in turn be used to detect expressed proteins as markers for human disease states. The levels of such proteins present in the peripheral blood or tissue sample of a patient may be quantified by conventional methods. Antibody-protein binding may be detected and quantified by a variety of means known in the art, such as labelling with fluorescent or radioactive ligands. The invention further comprises kits for performing the above-mentioned procedures, wherein such kits contain antibodies specific for the investigated polypeptides.

Numerous competitive and non-competitive protein binding immunoassays are well known in the art. Antibodies employed in such assays may be unlabeled, for example as used in agglutination tests, or labelled for use a wide variety of assay methods. Labels that can be used include radionuclides, enzymes, fluorescers, chemiluminescers, enzyme substrates or co-factors, enzyme inhibitors, particles, dyes and the like for use in radioimmunoassay (RIA), enzyme immunoassays, e.g., enzyme-linked immunosorbent assay (ELISA), fluorescent immunoassays and the like. Polyclonal or monoclonal antibodies or epitopes thereof can be made for use in immunoassays by any of a number of methods known in the art. One approach for preparing antibodies to a protein is the selection and preparation of an amino acid sequence of all or part of the protein, chemically synthesising the sequence and injecting it into an appropriate animal, usually a rabbit or a mouse (Milstein and Kohler Nature 256:495-497, 1975; Gulfre and Milstein, Methods in Enzymology: Immunochemical Techniques 73:1-46, Langone and Banatis eds., Academic Press, 1981 which are incorporated by reference). Methods for preparation of the polypeptides or epitopes thereof include, but are not limited to chemical synthesis, recombinant DNA techniques or isolation from biological samples.

In a particularly preferred embodiment the expression level of the genes and/or genomic sequences according to Table 26 is determined by analysis of the level of methylation of said genes, genomic sequences and/or regulatory regions thereof.

Said analysis comprises the following steps:

i) contacting genomic DNA obtained from the subject with at least one reagent, or series of reagents that distinguishes between methylated and non-methylated CpG dinucleotides within at least one target region of the genomic DNA, wherein said contiguous nucleotides comprise at least one CpG dinucleotide sequence,

ii) determining the presence or absence of a prostate cell proliferative disorders and/or a classification thereof according to the methylation status of said target regions analysed in i).

Wherein the method is for the diagnosis of prostate cell proliferative disorders, (most preferably prostate cancer, prostate carcinoma and/or neoplasms) it is preferred that said genes and/or sequences are selected from the group consisting of SEQ ID NO: 1023, GSTP1, PROSTAGLANDIN E2 RECEPTOR, HISTONE H4, RASSF1A, PR-DOMAIN ZINC FINGER PROTEIN 16, LIM DOMAIN KINASE 1, ORPHAN NUCLEAR RECEPTOR NR5A2, SEQ ID NO: 11, SEQ ID NO: 1028, LIM/HOMEOBOX PROTEIN LHX9, SEQ ID NO: 1116, SEQ ID NO: 1025, SEQ ID NO: 1020, LYSOSOMAL-ASSOCIATED) MULTITRANSMEMBRANE PROTEIN, SEQ ID NO: 1019 and SEQ ID NO: 1027.

Particularly preferred are the combinations of genes described in Tables 22 and 23, in particular the analysis of SEQ ID NO: 1023 and GSTP1.

In the first step of said methylation analysis the genomic DNA to be analysed is isolated. Genomic DNA may be isolated by any means standard in the art, including the use of commercially available kits. Briefly, wherein the DNA of interest is encapsulated in by a cellular membrane the biological sample must be disrupted and lysed by enzymatic, chemical or mechanical means. The DNA solution may then be cleared of proteins and other contaminants e.g. by digestion with proteinase K. The genomic DNA is then recovered from the solution. This may be carried out by means of a variety of methods including salting out, organic extraction or binding of the DNA to a solid phase support. The choice of method will be affected by several factors including time, expense and required quantity of DNA.

Preferably, the source of the DNA sample is selected from the group consisting of cells or cell lines, histological slides, biopsies, paraffin-embedded tissue, bodily fluids, ejaculate, urine, blood, and combinations thereof. Preferably, the source is biopsies, bodily fluids, ejaculate, urine, or blood.

The genomic DNA sample is then treated in such a manner that cytosine bases which are unmethylated at the 5′-position are converted to uracil, thymine, or another base which is dissimilar to cytosine in terms of hybridization behavior. This will be understood as ‘treatment’ herein.

The above described treatment of genomic DNA is preferably carried out with bisulfite (hydrogen sulfite, disulfite) and subsequent alkaline hydrolysis which results in a conversion of non-methylated cytosine nucleobases to uracil or to another base which is dissimilar to cytosine in terms of base pairing behavior.

The treated DNA is then analysed in order to determine the methylation state of one or more target gene sequences (prior to the treatment) associated with the presence of prostate cell proliferative disorders and/or indicative of the presence of sub-types thereof. It is particularly preferred that the target region comprises, or hybridizes under stringent conditions to at least 16 contiguous nucleotides of at least one gene or genomic sequence selected from the group consisting the genes and genomic sequences as listed in Table 26. It is further preferred that the sequences of said genes in Table 26 as described in the accompanying sequence listing are analysed.

Wherein the method is for the diagnosis of prostate cell proliferative disorders, (most preferably prostate cancer, prostate carcinoma and/or neoplasms) it is preferred that the target sequence(s) comprise, or hybridizes under stringent conditions to a sequence comprising at least 16 contiguous nucleotides of the sequences selected from the group consisting of SEQ ID NO: 1023, SEQ ID NO: 57, SEQ ID NO: 20, SEQ ID NO: 36, SEQ ID NO: 1171, SEQ ID NO: 51, SEQ ID NO: 31, SEQ ID NO: 24, SEQ ID NO: 11, SEQ ID NO: 1028, SEQ ID NO: 4, SEQ ID NO: 1116, SEQ ID NO: 1025, SEQ ID NO: 1020, SEQ ID NO: 18, SEQ ID NO: 1019 and SEQ ID NO: 1027. Accordingly it is preferred that subsequent to treatment said sequences are converted to the corresponding converted or non-converted dinucleotide sequence is selected from the group consisting of SEQ ID NO: 1043, 1044, 172, 173, 98,99, 130, 131, 1172, 1173, 160, 161, 120, 121, 106, 107, 80, 81, 1051, 1052, 66, 67, 1117, 118, 1045, 1046, 1035, 1036, 94, 95, 1033, 1034, 1049, 1050, and contiguous regions thereof according to Table 26.

Wherein the method is for the diagnosis of prostate cell proliferative disorders, (most preferably prostate cancer, prostate carcinoma and/or neoplasms) it is also preferred that the target sequence(s) comprise, or hybridizes under stringent conditions to a sequence comprising at least 16 contiguous nucleotides of the sequences selected from the group consisting of SEQ ID NO: 57 and one or more sequences selected from the group consisting of SEQ ID NO: 1017 to SEQ ID NO: 1028.

Wherein the method is for the diagnosis of prostate cell proliferative disorders, (most preferably prostate cancer, prostate carcinoma and/or neoplasms) it is particularly preferred that SEQ ID NO: 57 and SEQ ID NO: 1023 are analysed.

Wherein the method is for the diagnosis of prostate cancer, prostate carcinoma and/or neoplasms and/or differentiation thereof from benign prostate hyperplasia it is particularly preferred that SEQ ID NO: 1023 is analysed. It is also preferred that SEQ ID NO: 1023 and one or more genes and/or sequences selected from Table 26 are analysed.

Particularly preferred are the combinations of genes described in Tables 22 and 23, in particular the analysis of SEQ ID NO: 1023 and GSTP1.

The method of analysis may be selected from those known in the art, including those listed herein. Particularly preferred are MethyLight, MSP and the use of blocking oligonucleotides as will be described herein. It is further preferred that any oligonucleotides used in such analysis (including primers, blocking oligonucleotides and detection probes) should be reverse complementary, identical, or hybridize under stringent or highly stringent conditions to an at least 16-base-pair long segment of the base sequences of one or more of SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175 and sequences complementary thereto. It is further preferred that any oligonucleotides used in such analysis (including primers, blocking oligonucleotides and detection probes) should be reverse complementary, identical, or hybridize under stringent or highly stringent conditions to an at least 16-base-pair long segment of the base sequences of one or more of SEQ ID NO: 1043, 1044, 172, 173, 98, 99, 130, 131, 1172, 1173, 160, 161, 120, 121, 106, 107, 80, 81, 1051, 1052, 66, 67, 1117, 118, 1045, 1046, 1035, 1036, 94, 95, 1033, 1034, 1049, 1050 and sequences complementary thereto.

Aberrant methylation, more preferably hypermethylation of one or more genes or genomic sequences taken from those listed in Table 26 are associated with the presence of prostate cell proliferative disorders. Analysis of one or a plurality of the sequences enables the detection of and/or differentiation between prostate cell proliferative disorders.

Wherein the method is for the diagnosis of prostate cell proliferative disorders, (most preferably prostate cancer, prostate carcinoma and/or neoplasms) it is preferred that said genes and/or sequences are selected from the group consisting of SEQ ID NO: 1023, GSTP1, PROSTAGLANDIN E2 RECEPTOR, HISTONE H4, RASSF1A, PR-DOMAIN ZINC FINGER PROTEIN 16, LIM DOMAIN KINASE 1, ORPHAT NUCLEAR RECEPTOR NR5A2, SEQ ID NO: 11, SEQ ID NO: 1028, LIM/HOMEOBOX PROTEIN LHX9, SEQ ID NO: 1116, SEQ ID NO: 1025, SEQ ID NO: 1020, LYSOSOMAL-ASSOCIATED MULTITRANSMEMBRANE PROTEIN, SEQ ID NO: 1019 and SEQ ID NO: 1027

Particularly preferred are the combinations of genes described in Tables 22 and 23, in particular the analysis of SEQ ID NO: 1023 and GSTP1.

The present invention may also be described in certain embodiments as a kit for use in the detection of and/or differentiation between a prostate cell proliferative disorder state through testing of a biological sample. A representative kit may comprise one or more nucleic acid segments that selectively hybridise to the mRNA and a container for each of the one or more nucleic acid segments. In certain embodiments the nucleic acid segments may be combined in a single tube. In further embodiments, the nucleic acid segments may also include a pair of primers for amplifying the target mRNA. Such kits may also include any buffers, solutions, solvents, enzymes, nucleotides, or other components for hybridisation, amplification or detection reactions. Preferred kit components include reagents for reverse transcription-PCR, in situ hybridisation, Northern analysis and/or RPA

Particular embodiments of the present invention provide a novel application of the analysis of methylation levels and/or patterns within said sequences that enables the early detection and thereby improved treatment of prostate cell proliferative disorders, furthermore said method enables the differentiation of benign conditions from conditions such as prostate carcinoma and neoplasms which may be potentially malignant and have much more serious health consequences for the patient. Treatment of prostate cell proliferative disorders is improved by early detection, and the disclosed method thereby enables the physician and patient to make better and more informed treatment decisions.

Further Improvements

The present invention provides novel uses for genomic sequences selected from the group consisting of SEQ ID NO: 1 TO SEQ ID NO: 59, SEQ ID NO: 1017 TO SEQ ID NO: 1028, SEQ ID NO: 1116 AND SEQ ID NO: 1171. Additional embodiments provide modified variants of SEQ ID NO: 1 TO SEQ ID NO: 59, SEQ ID NO: 1017 TO SEQ ID NO: 1028, SEQ ID NO: 1116 AND SEQ ID NO: 1171, as well as oligonucleotides and/or PNA-oligomers for analysis of cytosine methylation patterns within the group consisting SEQ ID NO: 1 TO SEQ ID NO: 59, SEQ ID NO: 1017 TO SEQ ID NO: 1028, SEQ ID NO: 1116 AND SEQ ID NO: 1171.

An objective of the invention comprises analysis of the methylation state of one or more CpG dinucleotides within at least one of the genomic sequences selected from the group consisting of SEQ ID NO: 1 TO SEQ ID NO: 59, SEQ ID NO: 1017 TO SEQ ID NO: 1028, SEQ ID NO: 1116 AND SEQ ID NO:1171 and sequences complementary thereto.

The disclosed invention provides treated nucleic acids, derived from genomic SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171, wherein the treatment is suitable to convert at least one unmethylated cytosine base of the genomic DNA sequence to uracil or another base that is detectably dissimilar to cytosine in terms of hybridization. The genomic sequences in question may comprise one, or more, consecutive or random methylated CpG positions. Said treatment preferably comprises use of a reagent selected from the group consisting of bisulfite, hydrogen sulfite, disulfite, and combinations thereof. In a preferred embodiment of the invention, the objective comprises analysis of a non-naturally occurring modified nucleic acid comprising a sequence of at least 16 contiguous nucleotide bases in length of a sequence selected from the group consisting of SEQ ID NOS: 60-295, 1029-1076, 1117-1120, 1172-1175, wherein said sequence comprises at least one CpG, TpA or CpA dinucleotide and sequences complementary thereto. In a further preferred embodiment of the invention, the objective comprises analysis of a non-naturally occurring modified nucleic acid comprising a sequence of at least 16 contiguous nucleotide bases in length of a sequence selected from the group consisting of SEQ ID NO: 1043, 1044, 172, 173, 98, 99, 130, 131, 1172, 1173, 160, 161, 120, 121, 106, 107, 80, 81, 1051, 1052, 66, 67, 1117, 118, 1045, 1046, 1035, 1036, 94, 95, 1033, 1034, 1049, 1050 wherein said sequence comprises at least one CpG, TpA or CpA dinucleotide and sequences complementary thereto. The sequences of SEQ ID NO: 60-295, 1029-1076, 1117-1120, 1171-1175 provide non-naturally occurring modified versions of the nucleic acid according to SEQ ID NO: 1 TO SEQ ID NO: 59, SEQ ID NO: 1017 TO SEQ ID NO: 1028, SEQ ID NO: 1116 AND SEQ ID NO:1171, wherein the modification of each genomic sequence results in the synthesis of a nucleic acid having a sequence that is unique and distinct from said genomic sequence as follows. For each sense strand genomic DNA, e.g., SEQ ID NO: 1, four converted versions are disclosed. A first version wherein “C” is converted to “T,” but “CpG” remains “CpG” (i.e., corresponds to case where, for the genomic sequence, all “C” residues of CpG dinucleotide sequences are methylated and are thus not-converted); a second version discloses the complement of the disclosed genomic DNA sequence (i.e. antisense strand), wherein “C” is converted to “T,” but “CpG” remains “CpG” (i.e. corresponds to case where, for all “C” residues of CpG dinucleotide sequences are methylated and are thus not converted).

In an alternative preferred embodiment, such analysis comprises the use of an oligonucleotide or oligomer for detecting the cytosine methylation state within genomic or treated (non-naturally occurring modified) DNA, according to SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116, SEQ ID NO:1171, SEQ ID NO: 60-295, 1029-1076, 1117-1120, 1171-1175. In a preferred embodiment, such analysis comprises the use of an oligonucleotide or oligomer for detecting the cytosine methylation state within genomic or treated (chemically modified) DNA, according to SEQ ID NOS: 1043, 1044, 172, 173, 98, 99, 130, 131, 1172, 1173, 160, 161, 120, 121, 106, 107, 80, 81, 1051, 1052, 66, 67, 1117, 118, 1045, 1046, 1035, 1036, 94, 95, 1033, 1034, 1049, 1050.

Said oligonucleotide or oligomer each comprising a nucleic acid sequence having a length of at least nine (9) nucleotides which hybridizes, under moderately stringent or stringent conditions (as defined herein above), to a treated nucleic acid sequence according to SEQ ID NO: 60-295, 1029-1076, 1117-1120, 1171-1175 and/or sequences complementary thereto, or to a genomic sequence according to SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171 and/or sequences complementary thereto.

Particularly preferred is an oligonucleotide or oligomer comprising a nucleic acid sequence having a length of at least nine (9) nucleotides which hybridizes, under moderately stringent or stringent conditions (as defined herein above), to a treated nucleic acid sequence according to SEQ ID NOS: 1043, 1044, 172, 173, 98, 99, 130, 131, 1172, 1173, 160, 161, 120, 121, 106, 107, 80, 81, 1051, 1052, 66, 67, 1117, 118, 1045, 1046, 1035, 1036, 94, 95, 1033, 1034, 1049, 1050 and/or sequences complementary thereto.

Thus, the present invention includes nucleic acid molecules (e.g., oligonucleotides and peptide nucleic acid (PNA) molecules (PNA-oligomers)) that hybridize under moderately stringent and/or stringent hybridization conditions to all or a portion of the sequences SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116, SEQ ID NO:1171, SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175, or to the complements thereof. The hybridizing portion of the hybridizing nucleic acids is typically at least 9, 15, 20, 25, 30 or 35 nucleotides in length. However, longer molecules have inventive utility, and are thus within the scope of the present invention.

Preferably, the hybridizing portion of the inventive hybridizing nucleic acids is at least 95%, or at least 98%, or 100% identical to the sequence, or to a portion thereof of SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175 or to the complements thereof.

Hybridizing nucleic acids of the type described herein can be used, for example, as a primer (e.g., a PCR primer), or a diagnostic and/or classification probe or primer. Preferably, hybridization of the oligonucleotide probe to a nucleic acid sample is performed under stringent conditions and the probe is 100% identical to the target sequence. Nucleic acid duplex or hybrid stability is expressed as the melting temperature or Tm, which is the temperature at which a probe dissociates from a target DNA. This melting temperature is used to define the required stringency conditions.

For target sequences that are related and substantially identical to the corresponding sequence of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO: 1171 (such as allelic variants and SNPs), rather than identical, it is useful to first establish the lowest temperature at which only homologous hybridization occurs with a particular concentration of salt (e.g., SSC or SSPE). Then, assuming that 1% mismatching results in a 1° C. decrease in the Tm, the temperature of the final wash in the hybridization reaction is reduced accordingly (for example, if sequences having >95% identity with the probe are sought, the final wash temperature is decreased by 5° C.). In practice, the change in Tm can be between 0.5° C. and 1.5° C. per 1% mismatch.

Examples of inventive oligonucleotides of length X (in nucleotides), as indicated by polynucleotide positions with reference to, e.g., SEQ ID NO:1, include those corresponding to sets (sense and antisense sets) of consecutively overlapping oligonucleotides of length X, where the oligonucleotides within each consecutively overlapping set (corresponding to a given X value) are defined as the finite set of Z oligonucleotides from nucleotide positions: n to (n+(X−1));

where n=1, 2, 3, . . . (Y−(X−1));

where Y equals the length (nucleotides or base pairs) of SEQ ID NO: 1 (2299);

where X equals the common length (in nucleotides) of each oligonucleotide in the set (e.g., X=20 for a set of consecutively overlapping 20-mers); and

where the number (Z) of consecutively overlapping oligomers of length X for a given SEQ ID NO of length Y is equal to Y−(X−1). For example Z=2299-19=2280 for either sense or antisense sets of SEQ ID NO:1, where X=20.

Preferably, the set is limited to those oligomers that comprise at least one CpG, TpG or CpA dinucleotide.

Examples of inventive 20-mer oligonucleotides include the following set of 2280 oligomers (and the antisense set complementary thereto), indicated by polynucleotide positions with reference to SEQ ID NO:1:

1-20, 2-21, 3-22, 4-23, 5-24 . . . 2280-2299.

Preferably, the set is limited to those oligomers that comprise at least one CpG, TpG or CpA dinucleotide.

Likewise, examples of inventive 25-mer oligonucleotides include the following set of 2,256 oligomers (and the antisense set complementary thereto), indicated by polynucleotide positions with reference to SEQ ID NO:1:

1-25, 2-26, 3-27, 4-28, 5-29 . . . 2280-2299.

Preferably, the set is limited to those oligomers that comprise at least one CpG, TpG or CpA dinucleotide.

The present invention encompasses, for each of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116, SEQ ID NO:1171, SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175 (sense and antisense), multiple consecutively overlapping sets of oligonucleotides or modified oligonucleotides of length X, where, e.g., X=9, 10, 17, 20, 22, 23, 25, 27, 30 or 35 nucleotides.

The oligonucleotides or oligomers according to the present invention constitute effective tools useful to ascertain genetic and epigenetic parameters of the genomic sequence corresponding to SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171. Preferably, said oligomers comprise at least one CpG, TpG or CpA dinucleotide.

Particularly preferred oligonucleotides or oligomers according to the present invention are those in which the cytosine of the CpG dinucleotide (or of the corresponding converted TpG or CpA dinucleotide) sequences is within the middle third of the oligonucleotide; that is, where the oligonucleotide is, for example, 13 bases in length, the CpG, TpG or CpA dinucleotide is positioned within the fifth to ninth nucleotide from the 5′-end.

The oligonucleotides of the invention can also be modified by chemically linking the oligonucleotide to one or more moieties or conjugates to enhance the activity, stability or detection of the oligonucleotide. Such moieties or conjugates include chromophores, fluorophors, lipids such as cholesterol, cholic acid, thioether, aliphatic chains, phospholipids, polyamines, polyethylene glycol (PEG), palmityl moieties, and others as disclosed in, for example, U.S. Pat. Nos. 5,514,758, 5,565,552, 5,567,810, 5,574,142, 5,585,481, 5,587,371, 5,597,696 and 5,958,773. The probes may also exist in the form of a PNA (peptide nucleic acid) which has particularly preferred pairing properties. Thus, the oligonucleotide may include other appended groups such as peptides, and may include hybridization-triggered cleavage agents (Krol et al., BioTechniques 6:958-976, 1988) or intercalating agents (Zon, Pharm. Res. 5:539-549, 1988). To this end, the oligonucleotide may be conjugated to another molecule, e.g., a chromophore, fluorophor, peptide, hybridization-triggered cross-linking agent, transport agent, hybridization-triggered cleavage agent, etc.

The oligonucleotide may also comprise at least one art-recognized modified sugar and/or base moiety, or may comprise a modified backbone or non-natural internucleoside linkage.

The oligonucleotides or oligomers according to particular embodiments of the present invention are typically used in ‘sets,’ which contain at least one oligomer for analysis of each of the CpG dinucleotides of genomic sequences SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171 and sequences complementary thereto, or to the corresponding CpG, TpG or CpA dinucleotide within a sequence of the treated nucleic acids according to SEQ ID NO: 60-295, 1029-1076, 1117-1120, 1171-1175 1017 to SEQ ID NO: 1028 and sequences complementary thereto. However, it is anticipated that for economic or other factors it may be preferable to analyze a limited selection of the CpG dinucleotides within said sequences, and the content of the set of oligonucleotides is altered accordingly.

Therefore, in particular embodiments, the present invention provides a set of at least two (2) (oligonucleotides and/or PNA-oligomers) useful for detecting the cytosine methylation state in treated genomic DNA (SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175), or in genomic DNA (SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171 and sequences complementary thereto). These probes enable diagnosis and/or classification of genetic and epigenetic parameters of prostate cell proliferative disorders. The set of oligomers may also be used for detecting single nucleotide polymorphisms (SNPs) in treated genomic DNA (SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175), or in genomic DNA (SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171 and sequences complementary thereto).

Particularly preferred is a set of at least two (2) (oligonucleotides and/or PNA-oligomers) useful for detecting the cytosine methylation state in treated genomic DNA according to SEQ ID NO: 1043, 1044, 172, 173, 98, 99, 130, 131, 1172, 1173, 160, 161, 120, 121, 106, 107, 80, 81, 1051, 1052, 66, 67, 1117, 118, 1045, 1046, 1035, 1036, 94, 95, 1033, 1034, 1049, 1050.

In preferred embodiments, at least one, and more preferably all members of a set of oligonucleotides is bound to a solid phase.

In further embodiments, the present invention provides a set of at least two (2) oligonucleotides that are used as ‘primer’ oligonucleotides for amplifying DNA sequences of one of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116, SEQ ID NO:1171, SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175 and sequences complementary thereto, or segments thereof.

Particularly preferred is a a set of at least two (2) oligonucleotides that are used as ‘primer’ oligonucleotides for amplifying DNA sequences of one of SEQ D NO: 1043, 1044, 172, 173, 98, 99, 130, 131, 1172, 1173, 160, 161, 120, 121, 106, 107, 80, 81, 1051, 1052, 66, 67, 1117, 118, 1045, 1046, 1035, 1036, 94, 95, 1033, 1034, 1049, 1050.

It is anticipated that the oligonucleotides may constitute all or part of an “array” or “DNA chip” (i.e., an arrangement of different oligonucleotides and/or PNA-oligomers bound to a solid phase). Such an array of different oligonucleotide- and/or PNA-oligomer sequences can be characterized, for example, in that it is arranged on the solid phase in the form of a rectangular or hexagonal lattice. The solid-phase surface may be composed of silicon, glass, polystyrene, aluminum, steel, iron, copper, nickel, silver, or gold. Nitrocellulose as well as plastics such as nylon, which can exist in the form of pellets or also as resin matrices, may also be used. An overview of the Prior Art in oligomer array manufacturing can be gathered from a special edition of Nature Genetics (Nature Genetics Supplement, Volume 21, January 1999, and from the literature cited therein). Fluorescently labeled probes are often used for the scanning of immobilized DNA arrays. The simple attachment of Cy3 and Cy5 dyes to the 5′-OH of the specific probe are particularly suitable for fluorescence labels. The detection of the fluorescence of the hybridized probes may be carried out, for example, via a confocal microscope. Cy3 and Cy5 dyes, besides many others, are commercially available.

It is also anticipated that the oligonucleotides, or particular sequences thereof, may constitute all or part of an “virtual array” wherein the oligonucleotides, or particular sequences thereof, are used, for example, as ‘specifiers’ as part of, or in combination with a diverse population of unique labeled probes to analyze a complex mixture of analytes. Such a method, for example is described in US 2003/0013091 (U.S. Ser. No. 09/898,743, published 16 Jan. 2003). In such methods, enough labels are generated so that each nucleic acid in the complex mixture (i.e., each analyte) can be uniquely bound by a unique label and thus detected (each label is directly counted, resulting in a digital read-out of each molecular species in the mixture).

It is particularly preferred that the oligomers according to the invention are utilised for at least one of: detection of; screening of populations for; differentiation between; monitoring of; and detection and monitoring of prostate cell proliferative disorders. This is enabled by use of said sets for the detection of and/or differentiation between prostate cell proliferative disorders in a biological sample isolated from a patient. Particularly preferred are those sets of oligomer that comprise at least two oligonucleotides selected from one of the following sets of oligonucleotides.

In one embodiment of the method, this is achieved by analysis of the methylation status of at least one target sequence comprising, or hybridizing under stringent conditions to at least 16 contiguous nucleotides of a gene or sequence selected from the group consisting the genes and sequences according to Table 26 and complements thereof.

Wherein the method is for the diagnosis of prostate cell proliferative disorders, (most preferably prostate cancer, prostate carcinoma and/or neoplasms) it is preferred that said genes and/or sequences are selected from the group consisting of SEQ ID NO: 1023, GSTP1, PROSTAGLANDIN E2 RECEPTOR, HISTONE H4, RASSF1A, PR-DOMAIN ZINC FINGER PROTEIN 16, LIM DOMAIN KINASE 1, ORPHAN NUCLEAR RECEPTOR NRSA2, SEQ ID NO: 11, SEQ ID NO: 1028, LIM/HOMEOBOX PROTEIN LHX9, SEQ ID NO: 1116, SEQ ID NO: 1025, SEQ ID NO: 1020, LYSOSOMAL-ASSOCIATED MULTITRANSMEMBRANE PROTEIN, SEQ ID NO: 1019 and SEQ ID NO: 1027.

Particularly preferred are the combinations of genes described in Tables 22 and 23, in particular the analysis of SEQ ID NO: 1023 and GSTP1.

The present invention further provides a method for ascertaining genetic and/or epigenetic parameters of the genomic sequences according to SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171 within a subject by analyzing cytosine methylation and single nucleotide polymorphisms. Said method comprising contacting a nucleic acid comprising one or more of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171 in a biological sample obtained from said subject with at least one reagent or a series of reagents, wherein said reagent or series of reagents, distinguishes between methylated and non-methylated CpG dinucleotides within the target nucleic acid.

Preferably, said method comprises the following steps: In the first step, a sample of the tissue to be analysed is obtained. Preferably, the source of the DNA sample is selected from the group consisting of cells or cell lines, histological slides, biopsies, paraffin-embedded tissue, bodily fluids, ejaculate, urine, blood, and combinations thereof. Preferably, the source is biopsies, bodily fluids, ejaculate, urine, or blood.

The genomic DNA is then isolated from the sample. Genomic DNA may be isolated by any means standard in the art, including the use of commercially available kits. Briefly, wherein the DNA of interest is encapsulated in by a cellular membrane the biological sample must be disrupted and lysed by enzymatic, chemical or mechanical means. The DNA solution may then be cleared of proteins and other contaminants e.g. by digestion with proteinase K. The genomic DNA is then recovered from the solution. This may be carried out by means of a variety of methods including salting out, organic extraction or binding of the DNA to a solid phase support. The choice of method will be affected by several factors including time, expense and required quantity of DNA.

Once the nucleic acids have been extracted, the genomic double stranded DNA is used ill the analysis.

In the second step of the method, the genomic DNA sample is treated in such a manner that cytosine bases which are unmethylated at the 5′-position are converted to uracil, thymine, or another base which is dissimilar to cytosine in terms of hybridization behavior. This will be understood as ‘pretreatment’ or ‘treatment’ herein.

The above-described treatment of genomic DNA is preferably carried out with bisulfite (hydrogen sulfite, disulfite) and subsequent alkaline hydrolysis which results in a conversion of non-methylated cytosine nucleobases to uracil or to another base which is dissimilar to cytosine in terms of base pairing behavior.

In the third step of the method, fragments of the treated DNA are amplified, using sets of primer oligonucleotides according to the present invention, and an amplification enzyme. The amplification of several DNA segments can be carried out simultaneously in one and the same reaction vessel. Typically, the amplification is carried out using a polymerase chain reaction (PCR). The set of primer oligonucleotides includes at least two oligonucleotides whose sequences are each reverse complementary, identical, or hybridize under stringent or highly stringent conditions to an at least 16-base-pair long segment of the base sequences of one of SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175 and sequences complementary thereto.

Particularly preferred is a set of primer oligonucleotides includes at least two oligonucleotides whose sequences are each reverse complementary, identical, or hybridize under stringent or highly stringent conditions to an at least 16-base-pair long segment of the base sequences of one of SEQ ID NO: 1043, 1044, 172, 173, 98, 99, 130, 131, 1172, 1173, 160, 161, 120, 121, 106, 107, 80, 81, 1051, 1052, 66, 67, 1117, 118, 1045, 1046, 1035, 1036, 94, 95, 1033, 1034, 1049, 1050 and sequences complementary thereto.

In an alternate embodiment of the method, the methylation status of preselected CpG positions within the nucleic acid sequences comprising one or more of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171 may be detected by use of methylation-specific primer oligonucleotides. This technique (MSP) has been described in U.S. Pat. No. 6,265,171 to Herman. The use of methylation status specific primers for the amplification of bisulfite treated DNA allows the differentiation between methylated and unmethylated nucleic acids. MSP primers pairs contain at least one primer which hybridizes to a bisulfite treated CpG dinucleotide. Therefore, the sequence of said primers comprises at least one CpG dinucleotide. MSP primers specific for non-methylated DNA contain a “T” at the position of the C position in the CpG. Preferably, therefore, the base sequence of said primers is required to comprise a sequence having a length of at least 9 nucleotides which hybridizes to a treated nucleic acid sequence according to one of SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175 and sequences complementary thereto, wherein the base sequence of said oligomers comprises at least one CpG dinucleotide.

Preferably, the base sequence of said primers is required to comprise a sequence having a length of at least 9 nucleotides which hybridizes to a treated nucleic acid; sequence according to one of SEQ ID NO: 1043, 1044, 172, 173, 98, 99, 130, 131, 1172, 1173, 160, 161, 120, 121, 106, 107, 80, 81, 1051, 1052, 66, 67, 1117, 118, 1045, 1046, 1035, 1036, 94, 95, 1033, 1034, 1049, 1050 and sequences complementary thereto, wherein the base sequence of said oligomers comprises at least one CpG dinucleotide.

A further preferred embodiment of the method comprises the use of blocker oligonucleotides. The use of such blocker oligonucleotides has been described by Yu et al., BioTechniques 23:714-720, 1997. Blocking probe oligonucleotides are hybridized to the bisulfite treated nucleic acid concurrently with the PCR primers. PCR amplification of the nucleic acid is terminated at the 5′ position of the blocking probe, such that amplification of a nucleic acid is suppressed where the complementary sequence to the blocking probe is present. The probes may be designed to hybridize to the bisulfite treated nucleic acid in a methylation status specific manner. For example, for detection of methylated nucleic acids within a population of unmethylated nucleic acids, suppression of the amplification of nucleic acids which are unmethylated at the position in question would be carried out by the use of blocking probes comprising a ‘CpA’ or ‘TpA’ at the position in question, as opposed to a ‘CpG’ if the suppression of amplification of methylated nucleic acids is desired.

For PCR methods using blocker oligonucleotides, efficient disruption of polymerase-mediated amplification requires that blocker oligonucleotides not be elongated by the polymerase. Preferably, this is achieved through the use of blockers that are 3′-deoxyoligonucleotides, or oligonucleotides derivitized at the 3′ position with other than a “free” hydroxyl group. For example, 3′-O-acetyl oligonucleotides are representative of a preferred class of blocker molecule.

Additionally, polymerase-mediated decomposition of the blocker oligonucleotides should be precluded. Preferably, such preclusion comprises either use of a polymerase lacking 5′-3′ exonuclease activity, or use of modified blocker oligonucleotides having, for example, thioate bridges at the 5′-terminii thereof that render the blocker molecule nuclease-resistant. Particular applications may not require such 5′ modifications of the blocker. For example, if the blocker- and primer-binding sites overlap, thereby precluding binding of the primer (e.g., with excess blocker), degradation of the blocker oligonucleotide will be substantially precluded. This is because the polymerase will not extend the primer toward, and through (in the 5′-3′ direction) the blocker—a process that normally results in degradation of the hybridized blocker oligonucleotide.

A particularly preferred blocker/PCR embodiment, for purposes of the present invention and as implemented herein, comprises the use of peptide nucleic acid (PNA) oligomers as blocking oligonucleotides. Such PNA blocker oligomers are ideally suited, because they are neither decomposed nor extended by the polymerase.

Preferably, therefore, the base sequence of said blocking oligonucleotides is required to comprise a sequence having a length of at least 9 nucleotides which hybridizes to a treated nucleic acid sequence according to one of SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175 and sequences complementary thereto, wherein the base sequence of said oligonucleotides comprises at least one CpG, TpG or CpA dinucleotide.

It is further preferred that the base sequence of said blocking oligonucleotides is required to comprise a sequence having a length of at least 9 nucleotides which hybridizes to a treated nucleic acid sequence according to one of SEQ ID NO: 1043, 1044, 172, 173, 98, 99, 130, 131, 1172, 1173, 160, 161, 120, 121, 106, 107, 80, 81, 1051, 1052, 66, 67, 1117, 118, 1045, 1046, 1035, 1036, 94, 95, 1033, 1034, 1049, 1050 and sequences complementary thereto, wherein the base sequence of said oligonucleotides comprises at least one CpG, TpG or CpA dinucleotide.

The fragments obtained by means of the amplification can carry a directly or indirectly detectable label. Preferred are labels in the form of fluorescence labels, radionuclides, or detachable molecule fragments having a typical mass which can be detected in a mass spectrometer. Where said labels are mass labels, it is preferred that the labeled amplificates have a single positive or negative net charge, allowing for better detectability in the mass spectrometer. The detection may be carried out and visualized by means of, e.g. matrix assisted laser desorption/ionization mass spectrometry (MALDI) or using electron spray mass spectrometry (ESI).

Matrix Assisted Laser Desorption/Ionization Mass Spectrometry (MALDI-TOF) is a very efficient development for the analysis of biomolecules (Karas & Hillenkamp, Anal Chem., 60:2299-301, 1988). An analyte is embedded in a light-absorbing matrix. The matrix is evaporated by a short laser pulse thus transporting the analyte molecule into the vapour phase in an unfragmented manner. The analyte is ionized by collisions with matrix molecules. An applied voltage accelerates the ions into a field-free flight tube. Due to their different masses, the ions are accelerated at different rates. Smaller ions reach the detector sooner than bigger ones. MALDI-TOF spectrometry is well suited to the analysis of peptides and proteins. The analysis of nucleic acids is somewhat more difficult (Gut & Beck, Current Innovations and Future Trends, 1:147-57, 1995). The sensitivity with respect to nucleic acid analysis is approximately 100-times less than for peptides, and decreases disproportionally with increasing fragment size. Moreover, for nucleic acids having a multiply negatively charged backbone, the ionization process via the matrix is considerably less efficient. In MALDI-TOF spectrometry, the selection of the matrix plays an eminently important role. For desorption of peptides, several very efficient matrixes have been found which produce a very fine crystallisation. There are now several responsive matrixes for DNA, however, the difference in sensitivity between peptides and nucleic acids has not been reduced. This difference in sensitivity can be reduced, however, by chemically modifying the DNA in such a manner that it becomes more similar to a peptide. For example, phosphorothioate nucleic acids, in which the usual phosphates of the backbone are substituted with thiophosphates, can be converted into a charge-neutral DNA using simple alkylation chemistry (Gut & Beck, Nucleic Acids Res. 23: 1367-73, 1995). The coupling of a charge tag to this modified DNA results in an increase in MALDI-TOF sensitivity to the same level as that found for peptides. A further advantage of charge tagging is the increased stability of the analysis against impurities, which makes the detection of unmodified substrates considerably more difficult.

In the fourth step of the method, the amplificates obtained during the third step of the method are analysed in order to ascertain the methylation status of the CpG dinucleotides prior to the treatment.

In embodiments where the amplificates were obtained by means of MSP amplification, the presence or absence of an amplificate is in itself indicative of the methylation state of the CpG positions covered by the primer, according to the base sequences of said primer. Amplificates obtained by means of both standard and methylation specific PCR may be further analyzed by means of hybridization-based methods such as, but not limited to, array technology and probe based technologies as well as by means of techniques such as sequencing and template directed extension.

In one embodiment of the method, the amplificates synthesised in step three are subsequently hybridized to an array or a set of oligonucleotides and/or PNA probes. In this context, the hybridization takes place in the following manner: the set of probes used during the hybridization is preferably composed of at least 2 oligonucleotides or PNA-oligomers; in the process, the amplificates serve as probes which hybridize to oligonucleotides previously bonded to a solid phase; the non-hybridized fragments are subsequently removed; said oligonucleotides contain at least one base sequence having a length of at least 9 nucleotides which is reverse complementary or identical to a segment of the base sequences specified in the present Sequence Listing; and the segment comprises at least one CpG, TpG or CpA dinucleotide.

In a preferred embodiment, said dinucleotide is present in the central third of the oligomer. For example, wherein the oligomer comprises one CpG dinucleotide, said dinucleotide is preferably the fifth to ninth nucleotide from the 5′-end of a 13-mer. One oligonucleotide exists for the analysis of each CpG dinucleotide within the sequence according to SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171, and the equivalent positions within SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175.

Said oligonucleotides may also be present in the form of peptide nucleic acids. The non-hybridized amplificates are then removed. The hybridized amplificates are then detected. In this context, it is preferred that labels attached to the amplificates are identifiable at each position of the solid phase at which an oligonucleotide sequence is located.

In yet a further embodiment of the method, the genomic methylation status of the CpG positions may be ascertained by means of oligonucleotide probes that are hybridised to the bisulfite treated DNA concurrently with the PCR amplification primers (wherein said primers may either be methylation specific or standard).

A particularly preferred embodiment of this method is the use of fluorescence-based Real Time Quantitative PCR (Heid et al., Genome Res. 6:986-994, 1996; also see U.S. Pat. No. 6,331,393) employing a dual-labeled fluorescent oligonucleotide probe (TaqMan™ PCR, using an ABI Prism 7700 Sequence Detection System, Perkin Elmer Applied Biosystems, Foster City, Calif.). The TaqMan™ PCR reaction employs the use of a nonextendible interrogating oligonucleotide, called a TaqMan™ probe, which, in preferred embodiments, is designed to hybridize to a GpC-rich sequence located between the forward and reverse amplification primers. The TaqMan™ probe-further comprises a fluorescent “reporter moiety” and a “quencher moiety” covalently bound to linker moieties (e.g., phosphoramidites) attached to the nucleotides of the TaqMan™ oligonucleotide. For analysis of methylation within nucleic acids subsequent to bisulfite treatment, it is required that the probe be methylation specific, as described in U.S. Pat. No. 6,331,393, (hereby incorporated by reference in its entirety) also known as the MethylLight™ assay. Variations on the TaqMan™ detection methodology that are also suitable for use with the described invention include the use of dual-probe technology (Lightcycler™) or fluorescent amplification primers (Sunrise™ technology). Both these techniques may be adapted in a manner suitable for use with bisulfite treated DNA, and moreover for methylation analysis within CpG dinucleotides.

A further suitable method for the use of probe oligonucleotides for the assessment of methylation by analysis of bisulfite treated nucleic acids In a further preferred embodiment of the method, the fourth step of the method comprises the use of template-directed oligonucleotide extension, such as MS-SNuPE as described by Gonzalgo & Jones, Nucleic Acids Res. 25:2529-2531, 1997.

In yet a further embodiment of the method, the fourth step of the method comprises sequencing and subsequent sequence analysis of the amplificate generated in the third step of the method (Sanger F., et al., Proc Natl Acad Sci USA 74:5463-5467, 1977).

Best Mode

In the most preferred embodiment of the method the genomic nucleic acids are isolated and treated according to the first three steps of the method outlined above, namely:

- a) obtaining, from a subject, a biological sample having subject genomic DNA;
- b) extracting or otherwise isolating the genomic DNA;
- c) treating the genomic DNA of b), or a fragment thereof, with one or more reagents to convert cytosine bases that are unmethylated in the 5-position thereof to uracil or to another base that is detectably dissimilar to cytosine in terms of hybridization properties; and wherein
- d) amplifying subsequent to treatment in c) is carried out in a methylation specific manner, namely by use of methylation specific primers or blocking oligonucleotides, and further wherein
- e) detecting of the amplificates is carried out by means of a real-time detection probe, as described above.

Preferably, where the subsequent amplification of d) is carried out by means of methylation specific primers, as described above, said methylation specific primers comprise a sequence having a length of at least 9 nucleotides which hybridizes to a treated nucleic acid sequence according to one of SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175 and sequences complementary thereto, wherein the base sequence of said oligomers comprises at least one CpG dinucleotide.

It is further preferred that, where the subsequent amplification of d) is carried out by means of methylation specific primers, as described above, said methylation specific primers comprise a sequence having a length of at least 9 nucleotides which hybridizes to a treated nucleic acid sequence according to one of SEQ ID NO: 1043, 1044, 172, 173, 98, 99, 130, 131, 1172, 1173, 160, 161, 120, 121, 106, 107, 80, 81, 1051, 1052, 66, 67, 1117, 118, 1045, 1046, 1035, 1036, 94, 95, 1033, 1034, 1049, 1050 and sequences complementary thereto, wherein the base sequence of said oligomers comprises at least one CpG dinucleotide.

In an alternative most preferred embodiment of the method, the subsequent amplification of d) is carried out in the presence of blocking oligonucleotides, as described above. Said blocking oligonucleotides comprising a sequence having a length of at least 9 nucleotides which hybridizes to a treated nucleic acid sequence according to one of SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175 and sequences complementary thereto, wherein the base sequence of said oligomers comprises at least one CpG, TpG or CpA dinucleotide.

It is particularly preferred that said blocking oligonucleotides comprising a sequence having a length of at least 9 nucleotides which hybridizes to a treated nucleic acid sequence according to one of SEQ ID NO: 1043, 1044, 172, 173, 98, 99, 130, 131, 1172, 1173, 160, 161, 120, 121, 106, 107, 80, 81, 1051, 1052, 66, 67, 1117, 118, 1045, 1046, 1035, 1036, 94, 95, 1033, 1034, 1049, 1050 and sequences complementary thereto, wherein the base sequence of said oligomers comprises at least one CpG, TpG or CpA dinucleotide.

Step e) of the method, namely the detection of the specific amplificates indicative of the methylation status of one or more CpG positions according to SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171 is carried out by means of real-time detection methods as described above.

Additional embodiments of the invention provide a method for the analysis of the methylation status of genomic DNA according to the invention (SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171, and complements thereof) without the need for pretreatment.

In the first step of such additional embodiments, the genomic DNA sample is isolated from tissue or cellular sources. Preferably, such sources include cell lines, histological slides, body fluids, or tissue embedded in paraffin. In the second step, the genomic DNA is extracted. Extraction may be by means that are standard to one skilled in the art, including but not limited to the use of detergent lysates, sonification and vortexing with glass beads. Once the nucleic acids have been extracted, the genomic double-stranded DNA is used in the analysis.

In a preferred embodiment, the DNA may be cleaved prior to the treatment, and this may be by any means standard in the state of the art, in particular with methylation-sensitive restriction endonucleases.

In the third step, the DNA is then digested with one or more methylation sensitive restriction enzymes. The digestion is carried out such that hydrolysis of the DNA at the restriction site is informative of the methylation status of a specific CpG dinucleotide. In the fourth step, which is optional but a preferred embodiment, the restriction fragments are amplified. This is preferably carried out using a polymerase chain reaction, and said amplificates may carry suitable detectable labels as discussed above, namely fluorophore labels, radionuclides and mass labels.

In the fifth step the amplificates are detected. The detection may be by any means standard in the art, for example, but not limited to, gel electrophoresis analysis, hybridization analysis, incorporation of detectable tags within the PCR products, DNA array analysis, MALDI or ESI analysis.

Subsequent to the determination of the methylation state of the genomic nucleic acids the presence, absence or subclass of prostate cell proliferative disorder is deduced based upon the methylation state of at least one CpG dinucleotide sequence of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171, or an average, or a value reflecting an average methylation state of a plurality of CpG dinucleotide sequences of SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116 and SEQ ID NO:1171.

Kits

Moreover, an additional aspect of the present invention is a kit comprising, for example: a bisulfite-containing reagent; a set of primer oligonucleotides containing at least two oligonucleotides whose sequences in each case correspond, are complementary, or hybridize under stringent or highly stringent conditions to a 16-base long segment of the sequences SEQ ID NO: 1 to SEQ ID NO: 59, SEQ ID NO: 1017 to SEQ ID NO: 1028, SEQ ID NO: 1116, SEQ ID NO:1171, SEQ ID NOs: 60-295, 1029-1076, 1117-1120, 1172-1175; oligonucleotides and/or PNA-oligomers; as well as instructions for carrying out and evaluating the described method. In a further preferred embodiment, said kit may further comprise standard reagents for performing a CpG position-specific methylation analysis, wherein said analysis comprises one or more of the following techniques: MS-SNuPE, MSP, MethyLight™, HeavyMethyl™, COBRA, and nucleic acid sequencing.

It is further prefered that said comprise a bisulfite-containing reagent; a set of primer oligonucleotides containing at least two oligonucleotides whose sequences in each case correspond, are complementary, or hybridize under stringent or highly stringent conditions to a 16-base long segment of the sequences SEQ ID NO: 1043, 1044, 172, 173, 98, 99, 130, 131, 1172, 1173, 160, 161, 120, 121, 106, 107, 80, 81, 1051, 1052, 66, 67, 1117, 118, 1045, 1046, 1035, 1036, 94, 95, 1033, 1034, 1049, 1050; oligonucleotides and/or PNA-oligomers; as well as instructions for carrying out and evaluating the described method. In a further preferred embodiment, said kit may further comprise standard reagents for performing a CpG position-specific methylation analysis, wherein said analysis comprises one or more of the following techniques: MS-SNuPE, MSP, MethyLight™, HeavyMethyl™, COBRA, and nucleic acid sequencing.

However, a kit along the lines of the present invention can also contain only part of the aforementioned components.

While the present invention has been described with specificity in accordance with certain of its preferred embodiments, the following examples serve only to illustrate the invention and are not intended to limit the invention within the principles and scope of the broadest interpretations and equivalent configurations thereof.

EXAMPLES

In the following EXAMPLES, ‘uL’ is taken to mean ‘microlitre’ i.e. 10⁻⁶litres, accordingly ‘uM’ is taken to mean ‘micromolar’.

Pooled genomic DNA was isolated and analyzed using the discovery methods, AP-PCR and MCA (Example 1). These technologies distinguish between methylated and unmethylated CpG sites through the use of methylation sensitive enzymes. In general, whole genomic DNA is first digested to increase manageability, and then further digested with a methylation sensitive restriction enzyme. Methylated fragments are preferentially amplified because cleavage at the unmethylated sites prevents amplification of these products. Differentially methylated fragments identified using these techniques are sequenced (Example 2) and compared to the human genome using the BLAST utility in the Ensembl database. The sample set was selected based on the initial aim of the diagnostic problem to be solved, namely the improved detection and discrimination of prostate carcinomas from normal or benign conditions. The following comparisons were run using three “All Cancer” prostate cancer sample pools (10, 10, and 20 samples each), two benign prostate hyperplasia (BPH) sample pools (10 samples each), three low grade prostate cancer sample pools (10 samples each), three high grade prostate cancer sample pools (10 samples each), and one peripheral blood lymphocytes (PBL) pool (9 samples)]:

- BPH vs. All Cancer (High & low Gleason score; transitional (TZ) and peripheral (PZ) zones, 2 comparisons)
- BPH vs. Low Gleason Score (Gleason <6, TZ & PZ represented, 2 comparisons)
- BPH vs. High Gleason Score (Gleason >7, TZ & PZ represented, 2 comparisons)
- Low Gleason Score vs. High Gleason Score (for MCA, each pool was used as tester and driver)
- BPH vs. PBLs
- All cancer vs. PBLs
  
  The BPH vs. PBLs comparison was not done for APPCR.

For all MCA comparisons that included cancer samples, the cancer was the tester. The low to high Gleason score comparison was run twice, once with low as the tester, and once with high as the tester, bringing the total number of comparisons for MCA to ten. In the experiments with PBLs, the PBL sample was the driver. See Table 1.

TABLE 1

Sample pools used in comparison studies (AP-PCR and MCA)

Sample Breakdown

Gleas <6/
Gleas <6/
Gleas >7
Gleas

Samples
Trans.
Periph
Trans.
>7 Periph

Comparison
Nickname
Pool Type
Pool #
per pool
Zone
Zone
Zone
Zone

BPH vs. All
BA1
BPH
1
10
10 BPH

cancers
All
1
10
2
3
2
3

BPH vs. All
BA2
BPH
2
10
5 BPH, 5 Normal

cancers
All
2
10
3
2
3
2

BPH vs. Low
BL1
BPH
1
10
10 BPH

Low
1
10
5
5
0
0

BPH vs. Low
BL2
BPH
2
10
5 BPH, 5 Normal

Low
2
10
5
5
0
0

BPH vs. High
BH1
BPH
1
10
10 BPH

High
1
10
0
0
5
5

BPH vs. High
BH2
BPH
2
10
5 BPH, 5 Normal

High
2
10
0
0
5
5

Low vs. High
HL
Low
3
10
5
5
0
0

High
3
10
0
0
5
5

BPH vs. PBLs
BP
BPH
1
10
10 BPH

PBL
1
9
9 PBL's

Cancer vs. PBL
CP
All
3
20
5
5
5
5

PBL
1
9
9 PBL's

Example 1
MCA and AP-PCR

The aim of the following investigation was to identify one or more primary differentially methylated CpG dinucleotide sequences using a controlled assay suitable for identifying at least one differentially methylated CpG dinucleotide sequence within the entire genome, or a representative fraction thereof.

All processes were performed on both pooled and/or individual samples, and analysis was carried out using two different Discovery methods; namely, methylated CpG amplification (MCA), and arbitrarily-primed PCR (AP-PCR).

AP-PCR. AP-PCR analysis was performed on sample classes of genomic DNA as follows:

1. DNA isolation; genomic DNA was isolated from sample classes using the commercially available Wizard™ kit;

2. Restriction enzyme digestion; each DNA sample pool was digested with 3 different sets of restriction enzymes for 16 hours at 37° C.: RsaI (recognition site: GTAC); RsaI (recognition site: GTAC) plus HpaII (recognition site: CCGG; sensitive to methylation); and RsaI (recognition site: GTAC) plus MspI (recognition site: CCGG; insensitive to methylation);

3. AP-PCR analysis; each of the restriction digested DNA samples was amplified with the primers listed in TABLE 2 at a 40° C. annealing temperature, and with ³³P DATP in the primer sets outlined in Table 3.

4. Polyacrylamide Gel Electrophoresis; 1.6 □l of each AP-PCR sample was loaded on a 5% Polyacrylamide sequencing-size gel, and electrophoresed for 4 hours at 130 Watts. Gels were transferred to chromatography paper, covered with saran wrap, and dried in a gel dryer for a period of about 1-hour.

5. Autoradiographic Film Exposure; film was exposed to dried gels for 20 hours at minus 80° C., and then developed. Glogos II Autorad markers (Stratagene) were added to the dried gel and exposure was repeated with new film. The first autorad was retained for records, while the second was used for excising bands; and

6. Bands corresponding to differential methylation were visually identified on the gel. Such bands were excised and the DNA therein was isolated and cloned using the Invitrogen TA Cloning Kit.

TABLE 2

Primers used according to the AP-PCR Protocol

Example 1

SEQ ID

Name
NO:
Sequence

GC1
928
GGGCCGCGGC

GC2
929
CCCCGCGGGG

GC3
930
CGCGGGGGCG

GC4
931
GCGCGCCGCG

GC5
932
GCGGGGCGGC

G1
933
GCGCCGACGT

G2
934
CGGGACGCGA

G3
935
CCGCGATCGC

G4
936
TGGCCGCCGA

G5
937
TGCGACGCCG

G6
938
ATCCCGCCCG

G7
939
GCGCATGCGG

G8
940
GCGACGTGCG

G9
941
GCCGCGNGNG

G10
942
GCCCGCGNNG

APBS1
943
AGCGGCCGCG

APBS5
944
CTCCCACGCG

APBS7
945
GAGGTGCGCG

APBS10
946
AGGGGACGCG

APBS11
947
GAGAGGCGCG

APBS12
948
GCCCCCGCGA

APBS13
949
CGGGGCGCGA

APBS17
950
GGGGACGCGA

APBS18
951
ACCCCACCCG

TABLE 3

Combination
primer 1
primer 2
primer 3

101
GC1
G2
APBS1

103
GC3
G4
APBS1

105
GC5
G6
APBS1

107
GC2
G8
APBS5

109
GC4
G10
APBS5

111
GC1
G8
APBS7

113
GC3
G6
APBS7

115
GC5
G4
APBS7

117
GC2
G2
APBS10

119
GC4
G2
APBS10

121
GC1
G4
APBS11

123
GC3
G5
APBS11

125
GC5
G7
APBS11

127
GC2
G9
APBS12

129
GC4
G9
APBS12

131
GC1
G7
APBS13

133
GC3
G5
APBS13

135
GC5
G3
APBS13

137
GC2
G1
APBS17

139
GC4
G3
APBS17

141
GC1
G5
APBS18

143
GC3
G7
APBS18

145
GC5
G9
APBS18

147
G2
G3
APBS17

149
G4
G5
APBS17

151
G6
G7
APBS17

153
G8
G9
APBS13

155
G8
G10
APBS13

157
G6
G8
APBS12

159
G4
G6
APBS12

161
G2
G4
APBS12

163
G2
G10
APBS11

165
G2
G5
APBS11

167
G4
G7
APBS10

169
G6
G9
APBS10

171
G1
G8
APBS10

173
G6
G10
APBS7

175
G4
G8
APBS7

177
G2
G6
APBS5

179
G4
G10
APBS5

181
G2
G8
APBS5

183
APBS1
APBS10
APBS11

185
APBS5
APBS7
APBS17

187
APBS1
APBS12
APBS18

189
APBS10
APBS13
APBS17

191
APBS5
APBS11
APBS12

193
APBS7
APBS10
APBS13

195
APBS1
APBS5
APBS11

197
APBS7
APBS17
APBS18

199
APBS1
APBS12
APBS13

MCA. MCA was used to identify hypermethylated sequences in one population of genomic DNA as compared to a second population by selectively eliminating sequences that do not contain the hypermethylated regions. This was accomplished, as described in detail herein above, by digestion of genomic DNA with a methylation-sensitive enzyme that cleaves un-methylated restriction sites to leave blunt ends, followed by cleavage with an isoschizomer that is methylation insensitive and leaves sticky ends. This is followed by ligation of adaptors, amplicon generation and subtractive hybridization of the tester population with the driver population.

The initial restriction digestion reaction solutions contained the following:

Drivers:

DNA
510 uL

buffer 4
60 uL

100x BSA
6 uL

SmaI (20 U/uL)
24 uL

Testers:

DNA
68 uL

buffer 4
10 uL

10x BSA
10 uL

SmaI (20 U/uL)
2 uL

The reaction mixtures were incubated overnight at room temperature.

The pools were then further digested with XmaI (2 uL=100 U), 6 hours at 37° C. 2 uL (20 U) XmaI was added to each tester digest and 8 uL (80 U) to each driver digest The cleaned-up, digested material was ligated to the adapter-primer RXMA24+RXMA12 (Sequence: RXMA24: AGCACTCTCCAGCCTCTCACCGAC (SEQ ID NO: 952); RXMA12: CCGGGTCGGTGA (SEQ ID NO:953). These were hybridized to create the adapter by heating together at 70° C. and slowly cooling to room temperature (RT) in a 30 uL reaction:

Each DNA
33 uL

T4 Buffer
6 uL

RXMA adapter-primer (100 uM)
20 uL

Ligase
1 uL

The reaction solution was incubated overnight at room temperature.

3 uL of the ligation mix for both tester and driver populations was used in each initial PCR to generate the starting amplicons. The reaction solutions were as follows:

Testers:

100 uM RXMA24
1 uL

PCR buffer
10 uL

25 mM dNTPs
1.2 uL

ddH20
68.8 uL

Titanium Taq
1 uL

100% DMSO
2 uL

5M Betaine
10 uL

3 uL ligated tester DNA was added to each 97 uL tester cocktail.

Drivers:

Drivers are amplified with dUTP in place of dTTP:

100 uM RXMA24
1
uL

PCR buffer
10
uL

25 mM dNTPs
1.2
uL (25 mM each dATP,

dCTP, dGTP, and dUTP)

ddH20
68.8
uL

Titanium Taq
1
uL

100% DMSO
2
uL

5M Betaine
10
uL

3 uL ligated driver DNA was added to each 97 uL driver cocktail.

PCR Conditions:

72 degrees 5 min

30 cycles:

95 degrees 1 min

72 degrees 3 min

Final Extension:

72 degrees 10 min.

The tester amplicons were then digested with XmaI, yielding overhanging ends, and the driver amplicons were digested with SmaI yielding blunt end fragments.

Drivers (SmaI):

DNA
500 uL

Buffer 4
100 uL

100x BSA
10 uL

H20
340 uL

SmaI (20 U/uL)
50 uL

Total vol:
1 mL. Incubated

overnight at room temp.

Testers (XmaI):

DNA
20
uL

buffer 4
10
uL

10x BSA
10
uL

H20
59
uL

XmaI (50 U/uL)
1
uL

Total vol:
100
uL. Incubated

overnight at 37 degrees.

A new set of adapter primers (hybridized as described for the above RXMA primers) JXMA24+MA12 (Sequence: JXMA24: ACCGACGTCGACTATCCATGAACC(SEQ ID NO:954); JXMA12: CCGGGGTTCATG (SEQ ID NO:955) was ligated to the Tester in a Thermocycler at 16° C. for 2 hours in the following reaction solution:

DNA
16 uL

T4 buffer
3 uL

JXMA-P adapter (100 uM)
10 uL

T4 Ligase (400 U/uL)
1 uL

The digested tester and driver amplicons were hybridized together. A selective PCR reaction was done using primer JXMA24 (SEQ ID NO:954). The reaction solution contained:

JXMA24
0.5 uL

taq buffer
5 uL

dNTPs
0.6 uL

ddH20
27.4 uL

betaine
5 uL

DMSO
1 uL

Titanium taq
0.5 uL

DNA
10 uL

PCR Conditions:

72 degrees 8 min (fill in ends)

5 cycles:

95 degrees 1 min

72 degrees 3 min

Final Extension:

72 degrees 10 min

Subsequently, 20 uL of Mung Bean nuclease buffer plus 10 uL Mung Bean Nuclease (10U) was added and incubated at 37° C. for 30 minutes. This reaction was cleaned up and used as a template for 25 more cycles of PCR using JXMA24 primer in the following reaction solution:

JXMA24
1 uL

taq buffer
10 uL

dNTPs
1.2 uL

ddH20
27 uL

betaine
10 uL

DMSO
2 uL

Titanium taq
1 uL

DNA
48 uL

under the following conditions.

95 degrees 2 min
30 cycles:
95 degrees 1 min
72 degrees 3 min

Final Extension:

72 degrees 10 min

Hold at 4 degrees

The Resulting PCR Product (Tester) was Digested again Using XmaI:

45 uL DNA

15 uL Buffer 4

15 uL 10×BSA

71 uL H2O

4 uL XmaI

Incubated overnight at 37 degrees

A third adapter, NXMA24 (AGGCAACTGTGCTATCCGAGTGAC; SEQ ID NO:956) +NXMA12 (CCGGGTCACTCG; SEQ ID NO: 957) was ligated. The tester (500 ng) was hybridized a second time to the original digested driver (40 ug) in 4 uL EE (30 mM EPPS, 3 mM EDTA) and 1 uL 5 M NaCl at 67° C. for 20 hours. Selective PCR was performed using NXMA24 primer as follows:

NXMA24
0.5 uL

taq buffer
5 uL

dNTPs
0.6 uL

ddH20
27.4 uL

betaine
5 uL

DMSO
1 uL

Titanium taq
0.5 uL

DNA
10 uL

PCR Program:

72 degrees 8 min (fill in ends)

8 cycles:

95 degrees 1 min

72 degrees 3 min

Final Extension:

72 degrees 10 min

The reaction solution was held at 4 degrees

Subsequently, 20 uL of Mung Bean nuclease buffer plus 10 uL Mung Bean Nuclease (10U) was added and incubated at 30° C. for 30 minutes. This reaction was cleaned up and used as a template for 25 more cycles of PCR using NXMA24 primer as follows:

Reaction Solution

NXMA24
1 uL

taq buffer
10 uL

dNTPs
1.2 uL

ddH20
27 uL

betaine
10 uL

DMSO
2 uL

Titanium taq
1 uL

DNA
48 uL

PCR Program:

95 degrees 2 min

30 cycles:

95 degrees 1 min

72 degrees 3 min

Final Extension:

72 degrees 10 min

Hold at 4 degrees

The Resulting PCR Product was Digested with XmaI:

Reaction Solution:

DNA
38 uL

buffer 4
5 uL

10x BSA
5 uL

Xma I
2 uL

Incubated overnight at 37 degrees.

The DNA digest was then ligated into the vector pBC Sk—predigested with XmaI and phosphatased (675 ng). 5 uL of the ligation mixture was used to transform chemically competent TOP10™ cells according to the manufacturer's instructions. The transformations were plated onto LB/XGaI/IPTG/CAM plates. Selected insert colonies were sequenced according to Example 2.

Example 1 resulted in a large number of unique sequences that were potential candidates for assay markers. A subset of these sequences was eliminated due their high (>50%) repeat content. A total of 480 unique sequences were identified in the comparisons performed for this study. A subset of these sequences were further selected using the following scoring procedure:

Appearance using multiple methods

Appearance in multiple pools

Located within CpG island

Located within the promoter region of a gene

Near or within predicted or known gene

Known to be associated with disease

Class of gene (transcription factor, growth factor, etc.)

Repetitive element (negative score)

Under this scoring scheme, a MeST sequence receives a point for each of the above criteria, and receives a score of (−)8 for having repetitive sequence content greater than 50%. The highest score possible is 7, the lowest is (−)8. Scores are automatically generated using a proprietary database. Of the initial set of 480 MeST sequences, 277 scored 0 or higher. Using the scoring criteria above, along with manual review of the sequences, the number of candidate MeST was further reduced to 126 unique sequences.

Primer design for the 126 sequences was then initiated for the purpose of bisulfite sequencing. Thirty five of the sequences were discarded for various reasons including inability to design adequate primers, failure of amplification from control DNA, or if further scrutiny of the sequence or updates of the Ensembl database revealed poor quality or repeat sequences not previously noted.

Example 2
Bisulfite Sequencing

For bisulfite sequencing amplification primers were designed to cover each identified MeST sequence when possible or part of the 1000 bp upstream or 1000 bp downstream flanking regions surrounding the position. Samples used in Example 1 were utilized for amplicon production in this phase of the study. Each sample was treated with sodium bisulfite and sequenced. Sequence data was obtained using ABI 3700 sequencing technology. Obtained sequence traces were normalized and percentage methylation calculated using Epigenomic's proprietary ESME bisulphite sequence sequencing trace analysis program.

Results of Bisulfite Sequencing

The Following Properties were Noted:

- 1. Bisulfite sequencing indicates differential methylation of a CpG site between selected classes of samples (fisher score)
- 2. Co-methylation is observed
- 3. if only one site has Fisher score >1, are there additional sites surrounding with fisher score >0.5?

Genomic regions that were considered to demonstrate significant co-methylation as assesed by these criteria then proceeded to further investigation.

FIGS. 1 to 3 are ranked matrices produced from bisulfite sequencing data analysed by the Epigenomics' proprietary software (See WO 2004/000463 for further information). The overall matrix represents the sequencing data for one region of interest. Each row of the matrix represents a single CpG site within the fragment and each column represents an individual DNA sample. The bar on the left represents a scale of the percent methylation, with the degree of methylation represented by the shade of each position within the column from black representing 100% methylation to light grey representing 0% methylation. White positions represented a measurement with no data available.

FIG. 1 shows the sequencing data of a fragment of the gene Prostaglandin E2. Receptor, EP4 Subtype. Here, bisulfite sequencing showed differential but non-conclusive patterns of methylation between samples. The gene was further investigated on a larger sample set using the array process (Example 3) as the accuracy of this gene as a marker could be improved when analysed in combination with other genes.

FIG. 2 shows the sequencing data of a fragment of the gene Orphan Nuclear Receptor (alpha-1Fetoprotein Transcription Factor). In this case, bisulfite sequencing indicated differential methylation or comethylation between sample types.

FIG. 3 shows the sequencing data of a fragment of the gene 1-Acyl-SN-Glycerol-3-Phosphate Acyltransferase Gamma. This was representative of a subset of ROIs for which only poor quality sequence reads were obtained and the gene was only able to be meaningfully analysed using the array process (Example 3).

Example 3
Array Analysis

A selection of the differentially methylated genomic regions were further analysed by means of high throughput array analysis. The most useful final assay suitable for a diagnostic/classification screening test would enable analysis of body fluids such as serum, plasma or urine sediment (obviating the need for invasive procedures). Therefore, the sample set included DNA samples from other cancers which may be present in blood to provide more specific marker sets for sensitive assays.

Description of Sample Set for Chip Study

The sample set for the microarray analysis was designed to provide information concerning both the sensitivity and specificity of the marker candidates. A large number of samples (Table 7) from prostate cancer, BPH and normal prostate were screened. Prostate cancer samples were grouped by Gleason Score (High (≧8), Moderate (7), and Low (≧6)) and by zone (peripheral or transitional). The distribution of BPH samples was random, but because most BPH is derived from the transitional zone, it can be assumed that most samples were of that origin. In addition to prostate samples, a number of other cancer types were included to test for specificity to the prostate. PBL samples were included to analyze the potential use of these markers in a blood based screen. Normal liver and liver cancer were also included because of the observed methylation of GSTP1 in these samples.

TABLE 7

Overview of samples for the array study.

Sample Type

Prostate Cancers

High Grade (Gleason ≧8)

Transitional Zone

Peripheral Zone

Low Grade (Gleason ≦6)

Transitional Zone

Peripheral Zone

Moderate Grade

(Gleason = 7)

Transitional Zone

Peripheral Zone

Additional Prostate

Cancers

Post hormone therapy

Benign Prostate Disease

BPH

Benign Fibroma

Prostatitis

Genitourinary Tract

Cancers

Bladder

Testicular

Kidney

Endocrine Related Cancers

Breast

Male

Female

Ovarian

Uterine

Other Cancers

Liver

Lung

Esophageal

Salivary Gland

Stomach

Pancreatic

Melanoma

Colon

Other Normal tissues

Prostate

Transitional

Peripheral

Bladder

Kidney

Liver

Testes

Sperm

Ureter

PBLs

DNA Extraction

Samples were received from either as frozen tissue or extracted genomic DNA. All DNA samples were extracted using Qiagen Genomic Tip-500 columns or the MagnaPure device.

Bisulfite Treatment and Multiplex PCR

Total genomic DNA of all samples was bisulfite treated to convert umnethylated cytosines to uracil. Methylated cytosines remained conserved as cytosines. Bisulfite treatment was performed using Epigenomics' proprietary bisulfite treatment process. Two independent bisulfite reactions were performed per patient sample. After bisulfitation 10 ng of each DNA sample was used in subsequent multiplex PCR (MPCR) reactions containing 7-8 primer pairs.

Hybridization

Each Reaction Contained the Following:

0.4 mM each DNTPS

1 Unit Taq Polymerase

2.5 ul PCR buffer

3.5 mM MgCl2

80 nM Primerset (12-16 primers)

11.25 ng DNA (bisulfite treated)

Further details of the primers are shown in TABLE 8.

Forty cycles were carried out as follows: Denaturation at 95° C. for 15 min, followed by annealing at 55° C. for 45 sec., primer elongation at 65° C. for 2 min. A final elongation at 65° C. was carried out for 10 min.

Hybridization

All PCR products from each individual sample were then hybridised to glass slides carrying a pair of immobilised oligonucleotides for each CpG position under analysis. Each of these detection oligonucleotides was designed to hybridize to the bisulphite converted sequence around one CpG site which was either originally unmethylated (TG) or methylated (CG). See Table 2 for further details of all hybridization oligonucleotides used (both informative and non-informative). Hybridization conditions were selected to allow the detection of the single nucleotide differences between the TG and CG variants.

5 ul volume of each multiplex PCR product was diluted in 10×SSARC buffer. The reaction mixture was then hybridized to the detection oligonucleotides as follows. Denaturation at 95° C., cooling down to 10° C., hybridization at 42° C. overnight followed by washing with 10×SSARC and dH₂O at 42° C.

Further details of the hybridization oligonucleotides are shown in TABLE 9.

Fluorescent signals from each hybridized oligonucleotide were detected using genepix scanner and software. Ratios for the two signals (from the CG oligonucleotide and the TG oligonucleotide used to analyse each CpG position) were calculated based on comparison of intensity of the fluorescent signals.

For each patient, 2 DNA aliquots were bisulfite treated and for each bisulfite treated DNA sample two hybridizations were performed, resulting in a total of 4 chips processed per patient. For hybridization, the samples were grouped into 2 processing rounds in order to avoid a potential process-bias. As stated, each of the 2 rounds included a 2 fold redundancy for each DNA sample for the 4-fold redundancy per patient. The samples were hybridized in batches of 112 samples randomized for sex, diagnosis, tissue, and bisulfite batch.

Data Analysis Methods:
Analysis of the Chip Data

For the analysis of the chip data Epigenomics' proprietary software “EpiScape®” was used. It encompasses a variety of statistical tools and novel machine learning methods for analyzing and visualizing methylation array data. In the following sections we summarize the most important data analysis techniques that we applied for analyzing the data.

From Raw Hybridization Intensities to Methylation Ratios

The log methylation ratio (log(CG/TG)) at each CpG position is determined according to a standardized preprocessing pipeline. This log ratio has the property that the hybridization noise has approximately constant variance over the full range of possible methylation rates.

Hypothesis Testing

Our main task was to identify markers that can make a significant contribution to the class prediction of samples. For the ‘particularly preferred embodiments’ of the invention the significant contribution was detected when the null-hypothesis that a prediction model including the marker does not improve classification performance over a model without the marker could be rejected with p<0.05. Because we applied this test to a whole set of potential markers, we corrected the p-values for multiple testing. We did this by applying the conservative Bonferroni correction, which simply multiplies the single marker p-values with the number of potential markers tested. We also gave results with the less conservative False Discovery Rate (FDR) method.

Throughout this example a marker (sometimes also simply referred to as gene or amplicon) is also referred to as a genomic region of interest (ROI). It comprises of several CpG positions in the respective genomic region. For testing the null hypothesis that a marker has no predictive power we used the likelihood ratio test for logistic regression models. The logistic regression model for a single marker is a linear combination of methylation measurements from all CpG positions in the respective ROI. The fitted logistic regression model is compared to a constant probability model that is independent of methylation and represents the null hypothesis. The p-value of the marker was computed via the likelihood ratio test.

A significant p-value for a marker means that the methylation of this ROI has some systematic correlation to the question of interest as given by the two classes. In general a significant p-value does not necessarily imply a good classification performance. However, because with logistic regression we used a linear predictor as the basis of our test statistic small p-values are indicative of a good clinical performance.

Class Prediction by Supervised Learning

To give a reliable estimate of how well the CpG ensemble of a selected marker can differentiate between different tissue classes we can determine its prediction accuracy by classification. For that purpose we calculated a methylation profile-based prediction function using a certain set of tissue samples with a specific class label. This step is called training and it exploits the prior knowledge represented by the data labels. The prediction accuracy of that function was then tested on a set of independent samples. As a method of choice, we used the support vector machine (SVM) algorithm to learn the prediction function. In this analysis, sensitivity and specificity were weighted equally. This was achieved by setting the risk associated with false positive and false negative classifications to be inversely proportional to the respective class sizes. Therefore sensitivity and specificity of the resulting classifier could be expected to be approximately equal. Note that this weighting can be adapted according to the clinical requirements.

Estimating the Performance of the Tissue Class Prediction: Cross Validation

With limited sample size the cross-validation method provided an effective and reliable estimate for the prediction accuracy of a discriminator function, and therefore in addition to the significance of the markers we provided cross-validation accuracy, sensitivity and specificity estimates. For each classification task, the samples were partitioned into 5 groups of approximately equal size. Then the learning algorithm was trained on 4 of these 5 sample groups. The predictor obtained by this method was then tested on the remaining group of independent test samples. The number of correct positive and negative classifications was counted over 10 runs for the learning algorithm for all possible choices of the independent test group without using any knowledge obtained from the previous runs. This procedure was repeated on 10 random permutations of the sample set giving a better estimate of the prediction performance than if performed by simply splitting the samples into one training sample set and one independent test set.

Data Analysis Results

Our first step in analysis of the array data was to look at discriminatory markers in a comparison of all tissues of prostatic origin. We first compared normal and BPH prostate tissue against prostate cancer samples, and found that many of the markers used in this study have p-values meeting the desired criteria (FIG. 4). Next, we compared prostate cancer tissues to all other tissue classes used in this study (Table 7). Almost all markers met the specified statistical criteria with this sample set. The GSTP1 gene is known to be hypermethylated in prostate cancer, but also displays hypermethylation in other cancers. Therefore, our final comparison was a more detailed examination of the methylation levels in prostate cancer versus other cancer types.

Prostate Normal and BPH vs. Prostate Cancer

In this comparison, the negative class consisted of 91 samples from normal prostate, and BPH. The positive class consisted of 99 prostate cancer samples. Most of the markers met the criteria of p-value<0.05 (FIG. 4). The p-values, accuracy, sensitivity and specificity of the analysis are shown in Table 4. The best 12 markers are further shown in FIG. 5.

Prostate Normal and Other Tissues vs. Prostate Cancer

Comparisons were then performed on the complete sample set. The negative group was expanded to include normal tissue from other organs and cancer of other origins than prostate, according to TABLE 7. The negative class consists of 254 samples from normal prostate, BPH and other normal and cancerous tissues. The positive class consists of 99 prostate cancer samples. Again the p-values for most markers meet the significance level of p=<0.05 (Table 5). The accuracy of the highest performing marker is ˜86% (see FIG. 6 and/or Table 5). The p-values, accuracy, sensitivity and specificity of the analysis are shown in Table 5. The best 12 markers are further shown in FIG. 7.

Other Cancers vs. Prostate Cancer

Since hypermethylation of GSTP1 (state of the art methylation prostate cancer marker) is not specific to the prostate, we examined the methylation status of prostate cancer and other cancers in greater detail. FIG. 16 shows that GSTP1 (SEQ ID NO:57) was strongly hypermethylated in liver cancer and to a lesser degree in breast cancer. Nevertheless, several other of the best candidate markers distinguish well between cancer of the prostate and liver. The p-values, accuracy, sensitivity and specificity of the analysis are shown in Table 6. The best 12 markers are further shown in FIG. 8.

Tables 4-6 below summarize the performance characteristics of all markers in the following comparisons of tissues: Normal Prostate and BPH vs. Prostate Cancer (Table 4); Normal Prostate, BPH and other tissues vs. Prostate Cancer (Table 5); and Other Cancer Tissues vs. Prostate Cancer (Table 6).

The analyses in Tables 4 and 5 contained BPH and normal prostate samples in the analysis group. The analysis for Normal Prostate and BPH vs. Prostate Cancer was designed to determine the performance of the markers in a prostate specific environment. The analysis that included other tissues, both cancer and normals (Normal Prostate, BPH and Other Tissues vs. Prostate Cancer) took into consideration the performance of the markers with a background that may contribute or alter the overall performance of the markers in remote samples.

Cancer types (Table 6) were also compared because of the propensity for GSTP1 to be methylated in multiple cancer types. This type of lack of specificity could have a negative impact on the performance of a marker in body fluid-based assays. GSTP1 (SEQ ID NO: 57) is highly methylated in prostate cancer, but also in liver cancer as anticipated. IGF2 (SEQ ID NO: 58) is similarly methylated in liver cancer. The majority of the markers shown in FIG. 8 are unmethylated in most cancer types, with the exception of prostate cancer. From FIGS. 4-8, it can be observed that there are multiple candidates that have the potential to be informative and accurate markers. It is recommended that multiple markers be combined to ensure a high sensitivity and specificity.

TABLE 4

Normal Prostate, BPH and Other Tissues vs. Prostate Cancer

Treated

Unmethylated

Treated
Treated

antisense

Methylated
Methylated
Treated
sense

sense
Antisense
Unmethylated
strand

Genomic
strand
strand
SEQ ID
strand

SEQ ID NO:
SEQ ID NO:
SEQ ID NO:
NO:
SEQ ID NO:
P-value
Accuracy
Sensitivity
Specificity

57
172
173
290
291
1.30E−027
0.86
0.67
0.93

23
104
105
222
223
2.00E−029
0.81
0.75
0.83

36
130
131
248
249
3.80E−018
0.75
0.75
0.76

56
170
171
288
289
1.10E−012
0.74
0.62
0.79

11
80
81
198
199
5.10E−019
0.74
0.76
0.74

20
98
99
216
217
4.90E−016
0.73
0.77
0.71

22
102
103
220
221
1.10E−009
0.7
0.61
0.74

31
120
121
238
239
6.90E−018
0.7
0.79
0.66

30
118
119
236
237
1.60E−012
0.69
0.81
0.64

58
174
175
292
293
1.20E−011
0.68
0.71
0.67

34
126
127
244
245
5.50E−009
0.68
0.65
0.69

41
140
141
258
259
1.50E−008
0.67
0.7
0.66

59
176
177
294
295
4.90E−007
0.67
0.59
0.7

51
160
161
278
279
1.50E−012
0.67
0.76
0.63

24
106
107
224
225
1.30E−006
0.67
0.67
0.67

18
94
95
212
213
1.10E−014
0.67
0.84
0.6

54
166
167
284
285
3.80E−007
0.66
0.7
0.65

27
112
113
230
231
6.60E−007
0.66
0.7
0.64

7
72
73
190
191
8.30E−005
0.65
0.62
0.67

35
128
129
246
247
1.00E−004
0.65
0.53
0.69

16
90
91
208
209
7.50E−011
0.64
0.77
0.6

38
134
135
252
253
1.20E−004
0.64
0.63
0.64

14
86
87
204
205
5.20E−008
0.63
0.72
0.6

25
108
109
226
227
3.50E−011
0.62
0.79
0.56

1
60
61
178
179
8.20E−005
0.62
0.67
0.6

28
114
115
232
233
1.40E−003
0.62
0.67
0.59

43
144
145
262
263
3.70E−002
0.61
0.56
0.63

4
66
67
184
185
4.40E−004
0.61
0.64
0.59

26
110
111
228
229
5.60E−003
0.6
0.64
0.59

12
82
83
200
201
3.00E−004
0.58
0.75
0.52

21
100
101
218
219
1.80E−002
0.57
0.64
0.54

33
124
125
242
243
1.10E−002
0.56
0.66
0.53

TABLE 5

Normal Prostate and BPH vs. Prostate Cancer

Treated
Treated

methylated
methylated
Treated
Treated

sense
antisense
unmethylated
unmethylated

Genomic
strand
strand
sense
antisense

SEQ ID
SEQ ID
SEQ ID
strand SEQ
strand SEQ

NO:
NO:
NO:
ID NO:
ID NO:
P-value
Accuracy
Sensitivity
Specificity

57
172
173
290
291
4.60E−023
0.85
0.77
0.93

36
130
131
248
249
8.10E−019
0.81
0.75
0.86

23
104
105
222
223
6.10E−019
0.8
0.75
0.85

34
126
127
244
245
3.10E−015
0.78
0.71
0.86

20
98
99
216
217
1.60E−016
0.78
0.75
0.8

31
120
121
238
239
5.20E−015
0.76
0.71
0.81

59
176
177
294
295
1.90E−014
0.76
0.68
0.84

56
170
171
288
289
2.00E−013
0.76
0.65
0.53

30
118
119
236
237
5.90E−011
0.75
0.76
0.75

48
154
155
272
273
2.70E−011
0.74
0.71
0.78

54
166
167
284
285
1.20E−009
0.74
0.72
0.76

11
80
81
198
199
1.00E−010
0.74
0.69
0.8

24
106
107
224
225
1.10E−011
0.72
0.67
0.78

14
86
87
204
205
3.50E−009
0.71
0.63
0.8

18
94
95
212
213
3.10E−010
0.71
0.76
0.66

28
114
115
232
233
7.80E−008
0.71
0.69
0.72

8
74
75
192
193
4.10E−008
0.7
0.72
0.68

7
72
73
190
191
3.00E−004
0.7
0.62
0.78

4
66
67
184
185
6.30E−009
0.69
0.66
0.72

35
128
129
246
247
1.40E−008
0.69
0.59
0.8

27
112
113
230
231
1.40E−006
0.69
0.68
0.7

58
174
175
292
293
8.90E−006
0.68
0.65
0.71

26
110
111
228
229
1.20E−008
0.68
0.69
0.66

22
102
103
220
221
3.40E−008
0.67
0.57
0.78

41
140
141
258
259
7.90E−005
0.66
0.67
0.66

37
132
133
250
251
1.70E−006
0.66
0.6
0.73

1
60
61
178
179
7.40E−005
0.66
0.72
0.6

49
156
157
274
275
1.80E−005
0.66
0.62
0.71

16
90
91
208
209
1.30E−003
0.65
0.67
0.62

2
62
63
180
181
1.50E−002
0.64
0.66
0.63

44
146
147
264
265
7.50E−004
0.64
0.67
0.6

32
122
123
240
241
2.50E−003
0.64
0.59
0.69

13
84
85
202
203
5.10E−002
0.63
0.61
0.66

47
152
153
270
271
2.00E−002
0.63
0.64
0.61

42
142
143
260
261
3.30E−003
0.62
0.67
0.57

55
168
169
286
287
7.10E−003
0.62
0.67
0.57

29
116
117
234
235
5.10E−002
0.62
0.64
0.59

3
64
65
182
183
1.30E−001
0.61
0.59
0.64

50
158
159
276
277
1.00E+000
0.6
0.64
0.56

51
160
161
278
279
2.90E−002
0.6
0.65
0.56

43
144
145
262
263
9.60E−002
0.6
0.6
0.61

21
100
101
218
219
6.20E−001
0.59
0.66
0.52

46
150
151
268
269
3.00E−001
0.59
0.59
0.59

10
78
79
196
197
5.50E−001
0.59
0.52
0.66

38
134
135
252
253
5.10E−001
0.58
0.55
0.62

25
108
109
226
227
1.20E−002
0.57
0.52
0.63

15
88
89
206
207
1.00E+000
0.56
0.48
0.65

6
70
71
188
189
1.00E+000
0.56
0.63
0.48

33
124
125
242
243
1.00E+000
0.55
0.43
0.68

5
68
69
186
187
1.00E+000
0.55
0.6
0.5

9
76
77
194
195
1.00E+000
0.55
0.53
0.56

52
162
163
280
281
1.00E+000
0.54
0.48
0.6

40
138
139
256
257
1.00E+000
0.53
0.48
0.58

45
148
149
266
267
1.00E+000
0.52
0.38
0.68

17
92
93
210
211
1.00E+000
0.52
0.58
0.46

12
82
83
200
201
1.00E+000
0.47
0.36
0.58

39
136
137
254
255
1.00E+000
0.45
0.46
0.45

19
96
97
214
215
1.00E+000
0.4
0.46
0.32

TABLE 6

Other cancers vs. Prostate cancer

Treated
Treated
Treated
Treated

methylated
methylated
unmethylated
unmethylated

sense
antisense
sense
antisense

Genomic SEQ
strand SEQ
strand SEQ
strand SEQ
strand SEQ

ID NO:
ID NO:
ID NO:
ID NO:
ID NO:
p-value
accuracy
sensitivity
specificity

57
172
173
290
291
9.7e−14
0.80
0.70
0.89

23
104
105
222
223
2.4e−19
0.78
0.75
0.81

25
108
109
226
227
6.9e−16
0.75
0.85
0.65

11
80
81
198
199
2.0e−13
0.75
0.76
0.73

51
160
161
278
279
2.0e−12
0.74
0.79
0.69

31
120
121
238
239
1.5e−13
0.74
0.92
0.58

16
90
91
208
209
1.1e−14
0.73
0.82
0.66

30
118
119
236
237
2.4e−08
0.73
0.82
0.64

10
78
79
196
197
5.5e−11
0.72
0.83
0.63

41
140
141
258
259
9.4e−07
0.70
0.73
0.66

18
94
95
212
213
5.0e−09
0.69
0.83
0.57

14
86
87
204
205
2.8e−09
0.69
0.86
0.55

20
98
99
216
217
9.2e−07
0.68
0.78
0.60

12
82
83
200
201
9.7e−07
0.68
0.76
0.61

36
130
131
248
249
6.1e−08
0.67
0.74
0.62

38
134
135
252
253
3.8e−05
0.67
0.66
0.69

22
102
103
220
221
4.1e−05
0.67
0.62
0.71

58
174
175
292
293
1.6e−08
0.66
0.73
0.61

46
150
151
268
269
6.6e−08
0.66
0.87
0.48

56
170
171
288
289
4.6e−05
0.66
0.60
0.72

27
112
113
230
231
1.4e−02
0.65
0.69
0.62

21
100
101
218
219
5.6e−05
0.64
0.70
0.59

15
88
89
206
207
4.5e−05
0.63
0.85
0.43

5
68
69
186
187
4.4e−06
0.63
0.73
0.54

42
142
143
260
261
2.8e−04
0.62
0.77
0.49

34
126
127
244
245
6.8e−03
0.62
0.70
0.55

7
72
73
190
191
3.0e−03
0.62
0.56
0.66

33
124
125
242
243
7.6e−02
0.61
0.72
0.52

28
114
115
232
233
7.2e−01
0.60
0.73
0.49

6
70
71
188
189
2.8e−01
0.60
0.65
0.55

1
60
61
178
179
9.5e−02
0.59
0.60
0.58

59
176
177
294
295
5.1e−02
0.59
0.62
0.56

43
144
145
262
263
4.2e−01
0.59
0.58
0.60

24
106
107
224
225
1.3e−01
0.59
0.76
0.43

37
132
133
250
251
1.1e−01
0.59
0.69
0.49

48
154
155
272
273
5.8e−01
0.59
0.72
0.47

4
66
67
184
185
4.2e−02
0.58
0.71
0.48

45
148
149
266
267
1.0e+00
0.58
0.79
0.40

39
136
137
254
255
3.1e−02
0.58
0.55
0.61

55
168
169
286
287
1.0e+00
0.58
0.69
0.48

26
110
111
228
229
7.3e−02
0.58
0.67
0.49

2
62
63
180
181
1.0e+00
0.57
0.63
0.52

54
166
167
284
285
8.2e−01
0.57
0.68
0.47

49
156
157
274
275
5.9e−02
0.56
0.82
0.34

8
74
75
192
193
1.0e+00
0.56
0.61
0.51

13
84
85
202
203
1.0e+00
0.56
0.59
0.53

32
122
123
240
241
1.0e+00
0.55
0.63
0.49

29
116
117
234
235
1.0e+00
0.55
0.55
0.55

19
96
97
214
215
1.0e+00
0.55
0.54
0.55

47
152
153
270
271
1.0e+00
0.54
0.84
0.29

9
76
77
194
195
9.7e−02
0.54
0.55
0.53

50
158
159
276
277
1.0e+00
0.54
0.62
0.47

52
162
163
280
281
1.0e+00
0.54
0.51
0.56

17
92
93
210
211
1.0e+00
0.54
0.49
0.57

44
146
147
264
265
1.0e+00
0.53
0.60
0.47

35
128
129
246
247
1.0e+00
0.52
0.45
0.59

3
64
65
182
183
1.0e+00
0.52
0.59
0.45

40
138
139
256
257
1.0e+00
0.51
0.56
0.47

TABLE 7 is to be found at the beginning of Example 3.

TABLE 8

Amplifi-

Name and/or

cate

SEQ ID No:
Primer:
Length:

(SEQ ID NO: 1)
TGGTATAGGAGGAGAAGAGTTG
327

(SEQ ID NO: 296)

TCAATCCCTAAAACCCAAA

(SEQ ID NO: 297)

(SEQ ID NO: 2)
ACCCAAACTAACAATCAAAAAT
326

(SEQ ID NO: 299)

GGAAGGGAAGGATGAGAGTAT

(SEQ ID NO: 298)

(SEQ ID NO: 3)
GGAAGGTTTAAGGTGAGAGAA
339

(SEQ ID NO: 300)

CAAAATAACCAATCCCCTAAA

(SEQ ID NO: 301)

LIM/HOMEOBOX
CCCCAATATAAATCTACCAACC
372

PROTEIN LHX9
(SEQ ID NO: 303)

(SEQ ID NO: 4)
TTATTTGAATTTTGGAGGTTATG

(SEQ ID NO: 302)

(SEQ ID NO: 5)
TTAATGAAGTAGGGTTTGTATTGT
421

(SEQ ID NO: 304)

CCTCCAAAATCTTAACCAAAT

(SEQ ID NO: 305)

(SEQ ID NO: 6)
CCCAACTAACTCAAATTCCAC
434

(SEQ ID NO: 307)

TTTATTTTAGGAGGGAAGGATT

(SEQ ID NO: 306)

(SEQ ID NO: 7)
GTGGTTTTGGGGAATTAGTAT
483

(SEQ ID NO: 308)

CTCCTACATATCCCATCTCATC

(SEQ ID NO: 309)

UBIQUITIN-LIKE
AATTAAGGTTTAGGGTTTTGTTT
365

PROTEIN SMT3C
(SEQ ID NO: 310)

PRECURSOR
ACCTTCCCTACAAATCTACCTAC

(UBIQUITIN-
(SEQ ID NO: 311)

HOMOLOGY DO-

MAIN PROTEIN

PIC1) (UBIQUI-

TIN-LIKE PRO-

TEIN UBL1)

(UBIQUITIN-

RELATED PRO-

TEIN SUMO-1)

(GAP MODIFYING

PROTEIN 1)

(GMP1) (SEN-

TRIN)

(SEQ ID NO: 8)

BASSOON; ZINC
ATAGTTTTGTGGGTTTAAGAGG
414

FINGER PROTEIN
(SEQ ID NO: 312)

231; NEURONAL
ACCCTAACCTTATACAATACCAAC

DOUBLE ZINC
(SEQ ID NO: 313)

FINGER PROTEIN

(SEQ ID NO: 9)

BASSOON; ZINC
GGTGGGGTTATTAAGGAGTTTA
480

FINGER PROTEIN
(SEQ ID NO: 314)

231; NEURONAL
CTCAACTACCATACCCAAAAA

DOUBLE ZINC
(SEQ ID NO: 315)

FINGER PROTEIN

(SEQ ID NO: 9)

(SEQ ID NO:
TTGTGTTGGTTGTAAAAGGA
428

10)
(SEQ ID NO: 316)

CAAACACTATACACCTCTCAACA

(SEQ ID NO: 317)

(SEQ ID NO:
TTGAGGTTATTGGTTTATAGATTTT
457

11)
(SEQ ID NO: 318)

CCCTAACCACCCCTTCTA

(SEQ ID NO: 319)

(SEQ ID NO:
ACTCCATACACTTTTACCAACC
455

12)
(SEQ ID NO: 321)

TGTGTGAAATGTTTTAGTTTAATTG

(SEQ ID NO: 320)

HOOK2 PROTEIN
TGTGTTAGGAATGATTGGGTA
461

(SEQ ID NO:
(SEQ ID NO: 322)

13)
AATTTCAAAACCAAAATCACC

(SEQ ID NO: 323)

(SEQ ID NO:
AATTACCAAACCAATTCCTCTTA
366

14)
(SEQ ID NO: 325)

GGTTGGGATTTTAGTGTGTG

(SEQ ID NO: 324)

(SEQ ID NO:
TTATTTGAGGGATTTATTGGAG
382

14)
(SEQ ID NO: 326)

CCTTATTAAAACTTACCACCCTAT

(SEQ ID NO: 327)

(SEQ ID NO:
GTGGGTTAGTGGGAGGTTAT
440

15)
(SEQ ID NO: 328)

TAAAAACCCTTCCTACCTCTTA

(SEQ ID NO: 329)

(SEQ ID NO:
AGATGGGTATGTATTTTGGGTT
181

16)
(SEQ ID NO: 330)

ACTAAACTCAACCACCTCACTAA

(SEQ ID NO: 331)

(SEQ ID NO:
TTTTGGTTAGTTTTATGGGGTA
484

17)
(SEQ ID NO: 332)

CACTACTTCAAATCCATCATCA

(SEQ ID NO: 333)

LYSOSOMAL-
TAACTTCACAAATTACCCAACA
455

ASSOCIATED
(SEQ ID NO: 335)

MULTITRANS-
AAGAGTGAGGAGTAAGGGAGTT

MEMBRANE PRO-
(SEQ ID NO: 334)

TEIN (RETINOIC

ACID-INDUCIBLE

E3 PROTEIN)

(HA1520) LAM5

(SEQ ID NO:

18)

“TYPE I
TTTTGGGGTTAGTATGTGAGTT
482

INOSITOL-1,4,
(SEQ ID NO: 336)

5-TRISPHOS-
ATCCCAACAACTTCTTCCTC

PHATE 5-PHOS-
(SEQ ID NO: 337)

PHATASE (EC

3.1.3.56)

(5PTASE)

(SEQ ID NO:

19)

PROSTAGLANDIN
GAAGAGGAATGGGAAAATTAG
500

E2 RECEPTOR,
(SEQ ID NO: 338)

EP4 SUBTYPE
TCACCAACAAAATACCCAA

(PROSTANOID
(SEQ ID NO: 339)

EP4 RECEPTOR)

(PGE RECEPTOR,

EP4 SUBTYPE)

(SEQ ID NO:

20)

PROSTAGLANDIN
AACCATCAACCATACCTATTTC
467

E2 RECEPTOR,
(SEQ ID NO: 341)

EP4 SUBTYPE
TGAGTAAGATGATTATTTGGATTT

(PROSTANOID
(SEQ ID NO: 340)

EP4 RECEPTOR)

(PGE RECEPTOR,

EP4 SUBTYPE)

(SEQ ID NO:

20)

(SEQ ID NO:
CACTTCCCACCTCCTTATATC
398

21)
(SEQ ID NO: 343)

ATTGGGTTTGAAAGAGTTGTAG

(SEQ ID NO: 342)

(SEQ ID NO:
ATGATGGGAATATGTAAGAATGA
290

22)
(SEQ ID NO: 344)

CTTCTCACTACTAATCTCCTACCC

(SEQ ID NO: 345)

EQUILIBRATIVE
GAGTTGGAGGGTTTTGTTTTA
410

NUCLEOSIDE
(SEQ ID NO: 346)

TRANSPORTER 1
CAAACTCCCATAAAATTCATCT

(EQUILIBRATIVE
(SEQ ID NO: 347)

NITROBENZYL-

MERCAPTOPURINE

RIBOSIDE-

SENSITIVE

NUCLEOSIDE

TRANSPORTER)

(EQUILIBRATIVE

NBMPR-SENSI-

TIVE NUCLEO-

SIDE TRANSPOR-

TER) (NUCLEO-

SIDE TRANSPOR-

TER, ES-TYPE

(SEQ ID NO:

23)

ORPHAN NUCLEAR
CCACTCACTCAACCCATAA
398

RECEPTOR NR5A2
(SEQ ID NO: 349)

(ALPHA-1-
GTGTGAGGTTTGGGTATTTTT

FETOPROTEIN
(SEQ ID NO: 348)

TRANSCRIPTION

FACTOR)

(HEPATOCYTIC

TRANSCRIPTION

FACTOR) (B1-

BINDING FAC-

TOR) (HB1F)

(CYP7A PROMO-

TER BINDING

FACTOR)

(SEQ ID NO:

24)

PROTEIN-TYRO-
GATGGTGGGTAGTGTTGTTTAT
378

SINE PHOSPHA-
(SEQ ID NO: 350)

TASE X PRECUR-
AAAACCTATCTACACCTTTCTCTT

SOR (EC
(SEQ ID NO: 351)

3.1.3.48) (R-

PTP-X) (ISLET

CELL AUTOANTI-

GEN RELATED

PROTEIN)

(ICAAR) (IAR)

(PHOGRIN)

(SEQ ID NO:

25)

(SEQ ID NO:
ATTCCCACCAAAACCTCTAC
300

26)
(SEQ ID NO: 353)

AATTAGAGAAGGTTAAATGGGTT

(SEQ ID NO: 352)

(SEQ ID NO:
AATAACTCCAACTTTCCTCCC
237

27)
(SEQ ID NO: 355)

GGGATTTGGGAATTTATTGT

(SEQ ID NO: 354)

(SEQ ID NO:
GGTGGATGAGTAGTTTGAAGTTT
427

27)
(SEQ ID NO: 356)

AAAAACCCCTTTCCCTCT

(SEQ ID NO: 357)

(SEQ ID NO:
GTTGGGGTTTAGTAATTGAAAA
404

28)
(SEQ ID NO: 358)

ACCAACACAAACTAACACTTACAT

(SEQ ID NO: 359)

PEROXISOMAL
AAGAGGTTTTATGGTGTTTGAG
473

MEMBRANE PRO-
(SEQ ID NO: 360)

TEIN PEX14
CACTCCCTTCCCAAACTATAC

(PEROXIN-14)
(SEQ ID NO: 361)

(PEROXISOMAL

MEMBRANE AN-

CHOR PROTEIN

PEX14) (PTS1

RECEPTOR DOCK-

ING PROTEIN)

(SEQ ID NO:

29)

HOMEOBOX PRO-
CTCCTCAATTCTCACCAAAA
356

TEIN HOX-B6
(SEQ ID NO: 363)

(HOX-2B) (HOX-
GTGGAAAAAGGAGAGTAAATTG

2.2) (SEQ ID
(SEQ ID NO: 362)

NO: 30)

LIM DOMAIN
AAACCCTACTTCCTACAAACAA
420

KINASE 1 (EC
(SEQ ID NO: 365)

2.7.1.37)
AGGGAGGTTTGGTGTATTTT

(LIMK-1)
(SEQ ID NO: 364)

(SEQ ID NO:

31)

LOW AFFINITY
CAATCCCCTTAAAACAAACC
500

IMMUNOGLOBULIN
(SEQ ID NO: 367)

GAMMA FC RE-
GGAAAGGATAGGATGTTGGAT

GION RECEPTOR
(SEQ ID NO: 366)

II-A PRECURSOR

(FC-GAMMA RII-

A) (FCRII-A)

(IGG FC RECEP-

TOR II-A) (FC-

GAMMA-RIIA)

(CD32) (CDW32)

(SEQ ID NO:

32)

1-ACYL-SN-
CACAATTTCCCACAAAACA
379

GLYCEROL-3-
(SEQ ID NO: 369)

PHOSPHATE
TTAGGGAGATGAGATTAAAGGA

ACYLTRANSFER-
(SEQ ID NO: 368)

ASE GAMMA (EC

2.3.1.51) (1-

AGP

ACYLTRANSFER-

ASE 3) (1-AG-

PAT 3) (LYSO-

PHOSPHATIDIC

ACID ACYL-

TRANSFERASE-

GAMMA) (LPAAT-

GAMMA) (1-

ACYLGLYCEROL-

3-PHOSPHATE O-

ACYLTRANSFER-

ASE 3) (SEQ ID

NO: 33)

HOMEOBOX PRO-
TATATGGGGTGGGAGTATTTT
276

TEIN GSH-2
(SEQ ID NO: 370)

(SEQ ID NO:
CCTTCCCCTCCTTCTTATACT

34)
(SEQ ID NO: 371)

(SEQ ID NO:
AAAATTCTTTCCTCTCCTAAACA
478

35)
(SEQ ID NO: 373)

TTAGGGGTTATTAGGTTAAATGA

(SEQ ID NO: 372)

HISTONE H4
TTAGTTGAGAAAGTGGGGGT
421

(SEQ ID NO:
(SEQ ID NO: 374)

36)
CTACCTCAAACCAAAATCCTC

(SEQ ID NO: 375)

POTASSIUM
TTTTGGAGTTATAGGGTTTTGT
441

VOLTAGE-GATED
(SEQ ID NO: 376)

CHANNEL
CTTCAACATCTCCCAATCC

SUBFAMILY KQT
(SEQ ID NO: 377)

MEMBER 2

(NEUROBLASTO-

MA-SPECIFIC

POTASSIUM

CHANNEL KQT-

LIKE 2) (SEQ

ID NO: 37)

ADAPTER-RELA-
AAACCTAAAAATCCAACACAAA
215

TED PROTEIN
(SEQ ID NO: 379)

COMPLEX 1 SIG-
GGGTTATGTTAAGGGAGAAAG

MA 1B SUBUNIT
(SEQ ID NO: 378)

(SIGMA-ADAPTIN

1B) (ADAPTOR

PROTEIN COM-

PLEX AP-1 SIG-

MA-1B SUBUNIT)

(GOLGI ADAPTOR

HA1/AP1 ADAP-

TIN SIGMA-1B

SUBUNIT)

(CLATHRIN AS-

SEMBLY PROTEIN

COMPLEX 1 SIG-

MA 1B SMALL

CHAIN) (SIGMA

1B SUBUNIT OF

AP-1 CLATHRIN)

(DC22) (SEQ ID

NO: 38)

(SEQ ID NO:
AATAACCTAATCTCCAAACCC
465

39)
(SEQ ID NO: 381)

ATTTGTGGTAGTTAATAGGTATGTTTA

(SEQ ID NO: 380)

(SEQ ID NO:
TACCCACCATATACCAAAACTAAA
484

40)
(SEQ ID NO: 383)

TAGAGAAGTTGTTTGTTGGTTG

(SEQ ID NO: 382)

PERIPLAKIN
ATTTGAGGGGTATTATTTGTTG
409

(195 KDA CORN-
(SEQ ID NO: 384)

IFIED ENVELOPE
AACCACCTTCTCCCCTAAT

PRECURSOR)
(SEQ ID NO: 385)

(190 KDA

PARANEOPLASTIC

PEMPHIGUS

ANTIGEN) (SEQ

ID NO: 41)

(SEQ ID NO:
GTAATAATTGGGTTAGGGGTTA
394

42)
(SEQ ID NO: 386)

AACCAATATCAAATAACTAAAATCC

(SEQ ID NO: 387)

(SEQ ID NO:
AAAATCCAATCCTAAAACCCTA
296

43)
(SEQ ID NO: 389)

TATTTGAGAAAGTGGTAGGAGG

(SEQ ID NO: 388)

(SEQ ID NO:
AACCCTAACTTCTAAACAATTCC
492

44)
(SEQ ID NO: 391)

TTTATGTTTGTTGGGGGTAGT

(SEQ ID NO: 390)

(SEQ ID NO:
ACCCCAATCAACTACATAACTAA
498

45)
(SEQ ID NO: 393)

GTGAGAGTGGGTGTTGAAAT

(SEQ ID NO: 392)

(SEQ ID NO:
GAAGGTAGGTTAGTAAGAAGGGT
289

46)
(SEQ ID NO: 394)

TACCTAATCCCCCAAAACA

(SEQ ID NO: 395)

(SEQ ID NO:
CACTCACTTAATCATCACCATC
459

47)
(SEQ ID NO: 397)

GGAGGAGTTGGGAGTTAGTAT

(SEQ ID NO: 396)

(SEQ ID NO:
TGATTTGATTAGTTTGGTATTGTT
454

48)
(SEQ ID NO: 398)

CAAACACCCCTTAACCCT

(SEQ ID NO: 399)

(SEQ ID NO:
TAGTGTGTTTGGTTAGAGTGGT
249

49)
(SEQ ID NO: 400)

ACACATCTTAAACTTCCCCA

(SEQ ID NO: 401)

DNA REPLICA-
AACCAACACCTCCTAAACAAT
412

TION FACTOR;
(SEQ ID NO: 403)

DOUBLE PARKED,
GTTGGGTTTATTTTGAGTTGAG

DROSOPHILA,
(SEQ ID NO: 402)

HOMOLOG OF

(SEQ ID NO:

50)

PR-DOMAIN ZINC
TTGTTTGTTTTGAGTAAGAAGG
475

FINGER PROTEIN
(SEQ ID NO: 404)

16 (TRANSCRIP-
ATACCCCAATAACCACCTCTAT

TION FACTOR
(SEQ ID NO: 405)

MEL1) (SEQ ID

NO: 51)

TUMOR
ACCAATCTAAAAATCCCCAAC
474

SUPPRESSING
(SEQ ID NO: 407)

SUBTRANSFERA-
GGTATTAGGAGGTAGAAGTGGA

BLE CANDIDATE
(SEQ ID NO: 406)

5; P45 BECK-

WITH-WIEDEMANN

REGION 1A;

BECKWITH-WIED-

EMANN SYNDROME

CHROMOSOME RE-

GION 1, CANDI-

DATE A; EFFLUX

TRANSPORTER-

LIKE PROTEIN;

ORGANIC CATION

TRANSPORTER-

LIKE 2; TUMOR-

SUPPRESSING

STF CDNA 5;

IMPRINTED MUL-

TI-MEMBRANE

SPANNING POLY-

SPECIFIC

TRANSPORTER-

RELATED PRO-

TEIN (SEQ ID

NO: 52)

CDH1
GAGGTTGGGGTTAGAGGAT
478

(SEQ ID NO:
(SEQ ID NO: 408)

54)
CAAACTCACAAATACTTTACAATTC

(SEQ ID NO: 409)

CD44
GAAAGGAGAGGTTAAAGGTTG
696

(SEQ ID NO:
(SEQ ID NO: 410)

56)
AACTCACTTAACTCCAATCCC

(SEQ ID NO: 411)

GSTP1
CCTCTCCCCTACCCTATAAA
469

(SEQ ID NO:
(SEQ ID NO: 413)

57)
GTTGGTTTTATGTTGGGAGTT

(SEQ ID NO: 412)

VIAAT
CAAACCCAATTCTCAATATCC
434

(SEQ ID NO:
(SEQ ID NO: 415)

59)
GAAGTTGTTGTATATGAGGTTGTTA

(SEQ ID NO: 414)

TABLE 9

Gene name and/or

No:
SEQ ID NO
Oligo:

1
VIAAT
TAGACGCGGACGTTTA

(SEQ ID NO: 59)
(SEQ ID NO: 416)

2
VIAAT
TAATTAGATGTGGATGTT

(SEQ ID NO: 59)
(SEQ ID NO: 417)

3
VIAAT
TTCGTATAGGTACGCGA

(SEQ ID NO: 59)
(SEQ ID NO: 418)

4
VIAAT
TTTTGTATAGGTATGTGA

(SEQ ID NO: 59)
(SEQ ID NO: 419)

5
VIAAT
TTCGTACGCGTATTAT

(SEQ ID NO: 59)
(SEQ ID NO: 420)

6
VIAAT
GAGTTTTGTATGTGTATT

(SEQ ID NO: 59)
(SEQ ID NO: 421)

7
VIAAT
TTCGGTCGTTTAGCGT

(SEQ ID NO: 59)
(SEQ ID NO: 422)

8
VIAAT
ATTTGGTTGTTTAGTGT

(SEQ ID NO: 59)
(SEQ ID NO: 423)

9
(SEQ ID NO: 1)
GTCGGTGGTTCGAGTA

(SEQ ID NO: 424)

10
(SEQ ID NO: 1)
GTTGGTGGTTTGAGTAT

(SEQ ID NO: 425)

11
(SEQ ID NO: 1)
GGAATTCGACGGGGAG

(SEQ ID NO: 426)

12
(SEQ ID NO: 1)
GGGAATTTGATGGGGA

(SEQ ID NO: 427)

13
(SEQ ID NO: 1)
TTCGTCGGGCGTTTAG

(SEQ ID NO: 428)

14
(SEQ ID NO: 1)
TTTGTTGGGTGTTTAGT

(SEQ ID NO: 429)

15
(SEQ ID NO: 1)
GTCGTTCGTCGATGTA

(SEQ ID NO: 430)

16
(SEQ ID NO: 1)
GGTTGTTTGTTGATGTAG

(SEQ ID NO: 431)

17
(SEQ ID NO: 2)
GTATTGCGCGTTTATT

(SEQ ID NO: 432)

18
(SEQ ID NO: 2)
AGGGTATTGTGTGTTTA

(SEQ ID NO: 433)

19
(SEQ ID NO: 2)
AGGTACGTGGCGTTTT

(SEQ ID NO: 434)

20
(SEQ ID NO: 2)
AGGTATGTGGTGTTTT

(SEQ ID NO: 435)

21
(SEQ ID NO: 2)
GAGTTGCGCGGTAGTT

(SEQ ID NO: 436)

22
(SEQ ID NO: 2)
AGGAGTTGTGTGGTAG

(SEQ ID NO: 437)

23
(SEQ ID NO: 2)
ATAGTTTTCGCGTTTT

(SEQ ID NO: 438)

24
(SEQ ID NO: 2)
AGTTTTTGTGTTTTAGGA

(SEQ ID NO: 439)

25
(SEQ ID NO: 3)
TTTCGGTCGCGAATAT

(SEQ ID NO: 440)

26
(SEQ ID NO: 3)
TTTGGTTGTGAATATTTT

(SEQ ID NO: 441)

27
(SEQ ID NO: 3)
GTCGAGAGTTCGCGTT

(SEQ ID NO: 442)

28
(SEQ ID NO: 3)
TAGTTGAGAGTTTGTGT

(SEQ ID NO: 443)

29
(SEQ ID NO: 3)
TTTCGGTACGACGTTT

(SEQ ID NO: 444)

30
(SEQ ID NO: 3)
GAGTTTTGGTATGATGT

(SEQ ID NO: 445)

31
(SEQ ID NO: 3)
ATTGGGCGCGGTTTAA

(SEQ ID NO: 446)

32
(SEQ ID NO: 3)
ATTGGGTGTGGTTTAA

(SEQ ID NO: 447)

33
LIM/HOMEOBOX PROTEIN LHX9
ATTGTCGGGATACGTT

(SEQ ID NO: 4)
(SEQ ID NO: 448)

34
LIM/HOMEOBOX PROTEIN LHX9
GATTGTTGGGATATGTT

(SEQ ID NO: 4)
(SEQ ID NO: 449)

35
LIM/HOMEOBOX PROTEIN LHX9
TTAGTGTCGCGTTATT

(SEQ ID NO: 4)
(SEQ ID NO: 450)

36
LIM/HOMEOBOX PROTEIN LHX9
AGTGTTGTGTTATTTGG

(SEQ ID NO: 4)
(SEQ ID NO: 451)

37
LIM/HOMEOBOX PROTEIN LHX9
TGAAACGTTAGCGTTA

(SEQ ID NO: 4)
(SEQ ID NO: 452)

38
LIM/HOMEOBOX PROTEIN LHX9
AGTGAAATGTTAGTGTT

(SEQ ID NO: 4)
(SEQ ID NO: 453)

39
LIM/HOMEoBOX PROTEIN LHX9
AAAGGCGCGGTTTTTA

(SEQ ID NO: 4)
(SEQ ID NO: 454)

40
LIM/HOMEOBOX PROTEIN LHX9
TTGAAAGGTGTGGTTT

(SEQ ID NO: 4)
(SEQ ID NO: 455)

41
(SEQ ID NO: 5)
TAAGTAGCGGCGTTGT

(SEQ ID NO: 456)

42
(SEQ ID NO: 5)
TAAGTAGTGGTGTTGTA

(SEQ ID NO: 457)

43
(SEQ ID NO: 5)
GAGATGAGCGTCGTGG

(SEQ ID NO: 458)

44
(SEQ ID NO: 5)
GAGATGAGTGTTGTGG

(SEQ ID NO: 459)

45
(SEQ ID NO: 5)
GTCGTTCGTTAGTAACGG

(SEQ ID NO: 460)

46
(SEQ ID NO: 5)
GTTGTTTGTTAGTAATGG

(SEQ ID NO: 461)

47
(SEQ ID NO: 5)
TATCGGTTTTCGCGGT

(SEQ ID NO: 462)

48
(SEQ ID NO: 5)
ATATTGGTTTTTGTGGT

(SEQ ID NO: 463)

49
(SEQ ID NO: 5)
TTGGACGGCGTGTATT

(SEQ ID NO: 464)

50
(SEQ ID NO: 5)
TTTGGATGGTGTGTAT

(SEQ ID NO: 465)

51
(SEQ ID NO: 6)
GACGTTGTCGTAATGA

(SEQ ID NO: 466)

52
(SEQ ID NO: 6)
TGATGTTGTTGTAATGA

(SEQ ID NO: 467)

53
(SEQ ID NO: 6)
AGTATACGAGACGCGA

(SEQ ID NO: 468)

54
(SEQ ID NO: 6)
AGAGTATATGAGATGTGA

(SEQ ID NO: 469)

55
(SEQ ID NO: 6)
TTCGTTTATCGTGCGG

(SEQ ID NO: 470)

56
(SEQ ID NO: 6)
TTTGTTTATTGTGTGGT

(SEQ ID NO: 471)

57
(SEQ ID NO: 6)
AGGACGTAGAGCGTAG

(SEQ ID NO: 472)

58
(SEQ ID NO: 6)
TGAGGATGTAGAGTGT

(SEQ ID NO: 473)

59
(SEQ ID NO: 7)
TATAGACGGTGGGCGA

(SEQ ID NO: 474)

60
(SEQ ID NO: 7)
TATAGATGGTGGGTGA

(SEQ ID NO: 475)

61
(SEQ ID NO: 7)
ATTTATCGCGGTGGTT

(SEQ ID NO: 476)

62
(SEQ ID NO: 7)
GGATTTATTGTGGTGG

(SEQ ID NO: 477)

63
(SEQ ID NO: 7)
ATTCGTTGATTCGCGG

(SEQ ID NO: 478)

64
(SEQ ID NO: 7)
TTTGTTGATTTGTGGGG

(SEQ ID NO: 479)

65
UBIQUITIN-LIKE PROTEIN
TTTAGTCGATTCGGGA

SMT3C PRECURSOR (UBIQUI-
(SEQ ID NO: 480)

TIN-HOMOLOGY DOMAIN PRO-

TEIN PIC1) (UBIQUITIN-LIKE

PROTEIN UBL1) (UBIQUITIN-

RELATED PROTEIN SUMO-1)

(GAP MODIFYING PROTEIN 1)

(GMP1) (SENTRIN)

(SEQ ID NO: 8)

66
UBIQUITIN-LIKE PROTEIN
AGTTGATTTGGGAGAA

SMT3C PRECURSOR (UBIQUI-
(SEQ ID NO: 481)

TIN-HOMOLOGY DOMAIN PRO-

TEIN PIC1) (UBIQUITIN-LIKE

PROTEIN UBL1) (UBIQUITIN-

RELATED PROTEIN SUMO-1)

(GAP MODIFYING PROTEIN 1)

(GMP1) (SENTRIN)

(SEQ ID NO: 8)

67
UBIQUITIN-LIKE PROTEIN
TGAGCGAGTTCGGAGA

SMT3C PRECURSOR (UBIQUI-
(SEQ ID NO: 482)

TIN-HOMOLOGY DOMAIN PRO-

TEIN PIC1) (UBIQUITIN-LIKE

PROTEIN UBL1) (UBIQUITIN-

RELATED PROTEIN SUMO-1)

(GAP MODIFYING PROTEIN 1)

(GMP1) (SENTRIN)

(SEQ ID NO: 8)

68
UBIQUITIN-LIKE PROTEIN
GATGAGTGAGTTTGGA

SMT3C PRECURSOR (UBIQUI-
(SEQ ID NO: 483)

TIN-HOMOLOGY DOMAIN PRO-

TEIN PIC1) (UBIQUITIN-LIKE

PROTEIN UBL1) (UBIQUITIN-

RELATED PROTEIN SUMO-1)

(GAP MODIFYING PROTEIN 1)

(GMP1) (SENTRIN)

(SEQ ID NO: 8)

69
UBIQUITIN-LIKE PROTEIN
TTTCGGGAGTTTCGTA

SMT3C PRECURSOR (UBIQUI-
(SEQ ID NO: 484)

TIN-HOMOLOGY DOMAIN PRO-

TEIN PIC1) (UBIQUITIN-LIKE

PROTEIN UBL1) (UBIQUITIN-

RELATED PROTEIN SUMO-1)

(GAP MODIFYING PROTEIN 1)

(GMP1) (SENTRIN)

(SEQ ID NO: 8)

70
UBIQUITIN-LIKE PROTEIN
TTTGGGAGTTTTGTAGT

SMT3C PRECURSOR (UBIQUI-
(SEQ ID NO: 485)

TIN-HOMOLOGY DOMAIN PRO-

TEIN PIC1) (UBIQUITIN-LIKE

PROTEIN UBL1) (UBIQUITIN-

RELATED PROTEIN SUMO-1)

(GAP MODIFYING PROTEIN 1)

(GMP1) (SENTRIN)

(SEQ ID NO: 8)

71
UBIQUITIN-LIKE PROTEIN
TTTCGGTCGTAGTCGG

SMT3C PRECURSOR (UBIQUI-
(SEQ ID NO: 486)

TIN-HOMOLOGY DOMAIN PRO-

TEIN PIC1) (UBIQUITIN-LIKE

PROTEIN UBL1) (UBIQUITIN-

RELATED PROTEIN SUMO-1)

(GAP MODIFYING PROTEIN 1)

(GMP1) (SENTRIN)

(SEQ ID NO: 8)

72
UBIQUITIN-LIKE PROTEIN
ATTTTTGGTTGTAGTTGG

SMT3C PRECURSOR (UBIQUI-
(SEQ ID NO: 487)

TIN-HOMOLOGY DOMAIN PRO-

TEIN PIC1) (UBIQUITIN-LIKE

PROTEIN UBL1) (UBIQUITIN-

RELATED PROTEIN SUMO-1)

(GAP MODIFYING PROTEIN 1)

(GMP1) (SENTRIN)

(SEQ ID NO: 8)

73
BASSOON; ZINC FINGER PRO-
ATTGAGTTCGGGTTCGT

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 488)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

74
BASSOON; ZINC FINGER PRO-
ATTGAGTTTGGGTTTGT

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 489)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

75
BASSOON; ZINC FINGER PRO-
TAGCGTATATGCGATT

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 490)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

76
BASSOON; ZINC FINGER PRO-
GGGTAGTGTATATGTGA

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 491)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

77
BASSOON; ZINC FINGER PRO-
ATATGCGATTGATTTTACGG

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 492)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

78
BASSOON; ZINC FINGER PRO-
ATATGTGATTGATTTTATGG

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 493)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

79
BASSOON; ZINC FINGER PRO-
TTATAGCGTCGTATGG

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 494)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

80
BASSOON; ZINC FINGER PRO-
ATAGTGTTGTATGGGAA

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 495)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

81
BASSOON; ZINC FINGER PRO-
GACGTAGGTTCGTGAT

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 496)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

82
BASSOON; ZINC FINGER PRO-
ATGATGTAGGTTTGTGA

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 497)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

83
BASSOON; ZINC FINGER PRO-
GGTAGCGTTTATTCGT

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 498)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

84
BASSOON; ZINC FINGER PRO-
AGGTAGTGTTTATTTGTA

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 499)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

85
BASSOON; ZINC FINGER PRO-
ATAGTCGAGTTTCGTT

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 500)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

86
BASSOON; ZINC FINGER PRO-
GTTGAGTTTTGTTTAGG

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 501)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

87
BASSOON; ZINC FINGER PRO-
TGGGTATACGTGTTAG

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 502)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

88
BASSOON; ZINC FINGER PRO-
TATGGGTATATGTGTTAG

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 503)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

89
BASSOON; ZINC FINGER PRO-
TTAGATGCGTAAGGTT

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 504)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

90
BASSOON; ZINC FINGER PRO-
ATTAGATGTGTAAGGTTT

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 505)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

91
BASSOON; ZINC FINGER PRO-
TTATGGGTCGTAGGAT

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 506)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

92
BASSOON; ZINC FINGER PRO-
ATGGGTTGTAGGATTG

TEIN 231; NEURONAL DOUBLE
(SEQ ID NO: 507)

ZINC FINGER PROTEIN

(SEQ ID NO: 9)

93
(SEQ ID NO: 10)
TTCGTTTAGTTACGTACGG

(SEQ ID NO: 508)

94
(SEQ ID NO: 10)
TTTGTTTAGTTATGTATGG

(SEQ ID NO: 509)

95
(SEQ ID NO: 10)
TAGTTACGTACGGATAT

(SEQ ID NO: 510)

96
(SEQ ID NO: 10)
TTATGTATGGATATTTTGG

(SEQ ID NO: 511)

97
(SEQ ID NO: 10)
AGGATACGTAGTTCGT

(SEQ ID NO: 512)

98
(SEQ ID NO: 10)
AGGATATGTAGTTTGTATA

(SEQ ID NO: 513)

99
(SEQ ID NO: 10)
AGTTCGTATATTTTCGG

(SEQ ID NO: 514)

100
(SEQ ID NO: 10)
AGTTTGTATATTTTTGGTA

(SEQ ID NO: 515)

101
(SEQ ID NO: 11)
TACGGGGTCGTTCGTA

(SEQ ID NO: 516)

102
(SEQ ID NO: 11)
TATGGGGTTGTTTGTAT

(SEQ ID NO: 517)

103
(SEQ ID NO: 11)
TTCGTAGGCGATCGTA

(SEQ ID NO: 518)

104
(SEQ ID NO: 11)
GATTTGTAGGTGATTGT

(SEQ ID NO: 519)

105
(SEQ ID NO: 11)
TAGCGGTCGATTCGTT

(SEQ ID NO: 520)

106
(SEQ ID NO: 11)
TAGTGGTTGATTTGTTT

(SEQ ID NO: 521)

107
(SEQ ID NO: 11)
GTCGTTACGTTTTTCGG

(SEQ ID NO: 522)

108
(SEQ ID NO: 11)
TAGAGTTGTTATGTTTTTTGG

(SEQ ID NO: 523)

109
(SEQ ID NO: 12)
AAGTTCGTTACGGCGG

(SEQ ID NO: 524)

110
(SEQ ID NO: 12)
AGTTTGTTATGGTGGG

(SEQ ID NO: 525)

111
(SEQ ID NO: 12)
TACGTTGGTCGACGTT

(SEQ ID NO: 526)

112
(SEQ ID NO: 12)
TTTATGTTGGTTGATGT

(SEQ ID NO: 527)

113
(SEQ ID NO: 12)
GAGTCGGACGGTGTTT

(SEQ ID NO: 528)

114
(SEQ ID NO: 12)
GAGTTGGATGGTGTTT

(SEQ ID NO: 529)

115
HOOK2 PROTEIN
TAGCGTAAAGGGACGAG

(SEQ ID NO: 13)
(SEQ ID NO: 530)

116
HOOK2 PROTEIN
TAGTGTAAAGGGATGAG

(SEQ ID NO: 13)
(SEQ ID NO: 531)

117
HOOK2 PROTEIN
ATGCGGATATTTCGTT

(SEQ ID NO: 13)
(SEQ ID NO: 532)

118
HOOK2 PROTEIN
GGATGTGGATATTTTGT

(SEQ ID NO: 13)
(SEQ ID NO: 533)

119
HOOK2 PROTEIN
ATTTCGTTTTCGGAGT

(SEQ ID NO: 13)
(SEQ ID NO: 534)

120
HOOK2 PROTEIN
GGATATTTTGTTTTTGGA

(SEQ ID NO: 13)
(SEQ ID NO: 535)

121
HOOK2 PROTEIN
AGGTAGCGTAAAGGGA

(SEQ ID NO: 13)
(SEQ ID NO: 536)

122
HOOK2 PROTEIN
AGGTAGTGTAAAGGGA

(SEQ ID NO: 13)
(SEQ ID NO: 537)

123
(SEQ ID NO: 14)
TAACGTATCGTTAGGG

(SEQ ID NO: 538)

124
(SEQ ID NO: 14)
AATGTATTGTTAGGGATG

(SEQ.ID NO: 539)

125
(SEQ ID NO: 14)
TTTTTGGCGCGGAGTA

(SEQ ID NO: 540)

126
(SEQ ID NO: 14)
TTTTGGTGTGGAGTAG

(SEQ ID NO: 541)

127
(SEQ ID NO: 14)
TAGAGTTCGACGGGTT

(SEQ ID NO: 542)

128
(SEQ ID NO: 14)
AGAGTTTGATGGGTTT

(SEQ ID NO: 543)

129
(SEQ ID NO: 14)
ATCGAATTTATCGGTCGG

(SEQ ID NO: 544)

130
(SEQ ID NO: 14)
ATTGAATTTATTGGTTGG

(SEQ ID NO: 545)

131
(SEQ ID NO: 14)
TATTACGGGGAACGGT

(SEQ ID NO: 546)

132
(SEQ ID NO: 14)
TATTATGGGGAATGGTT

(SEQ ID NO: 547)

133
(SEQ ID NO: 14)
GAACGGTTCGTTTTTA

(SEQ ID NO: 548)

134
(SEQ ID NO: 14)
GGGAATGGTTTGTTTT

(SEQ ID NO: 549)

135
(SEQ ID NO: 14)
AAGGGGATCGTTTTTT

(SEQ ID NO: 550)

136
(SEQ ID NO: 14)
TAAGGGGATTGTTTTTT

(SEQ ID NO: 551)

137
(SEQ ID NO: 14)
TTTTAGGGCGGTTTAA

(SEQ ID NO: 552)

138
(SEQ ID NO: 14)
TTAGGGTGGTTTAAGG

(SEQ ID NO: 553)

139
(SEQ ID NO: 15)
TGACGAAAATCGATTG

(SEQ ID NO: 554)

140
(SEQ ID NO: 15)
GATGAAAATTGATTGGAT

(SEQ ID NO: 555)

141
(SEQ ID NO: 15)
GGGTATACGAATACGT

(SEQ ID NO: 556)

142
(SEQ ID NO: 15)
GTGGGTATATGAATATGT

(SEQ ID NO: 557)

143
(SEQ ID NO: 15)
TTCGAGGTTACGGGTT

(SEQ ID NO: 558)

144
(SEQ ID NO: 15)
TTTGAGGTTATGGGTT

(SEQ ID NO: 559)

145
(SEQ ID NO: 15)
TGTTCGAGGTATATACGT

(SEQ ID NO: 560)

146
(SEQ ID NO: 15)
TTGTTTGAGGTATATATGT

(SEQ ID NO: 561)

147
(SEQ ID NO: 16)
AGGAGATTCGGTTATAT

(SEQ ID NO: 562)

148
(SEQ ID NO: 16)
GAGGAGATTTGGTTATAT

(SEQ ID NO: 563)

149
(SEQ ID NO: 16)
GTTATTTTCGGTAATGTT

(SEQ ID NO: 564)

150
(SEQ ID NO: 16)
AGGTTATTTTTGGTAATG

(SEQ ID NO: 565)

151
(SEQ ID NO: 16)
TATTAGTCGTTAGTTTGA

(SEQ ID NO: 566)

152
(SEQ ID NO: 16)
TATTAGTTGTTAGTTTGAG

(SEQ ID NO: 567)

153
(SEQ ID NO: 16)
AGGTTTATACGATAAAGG

(SEQ ID NO: 568)

154
(SEQ ID NO: 16)
AGGTTTATATGATAAAGGT

(SEQ ID NO: 569)

155
(SEQ ID NO: 17)
TTCGAATATTAGCGCGT

(SEQ ID NO: 570)

156
(SEQ ID NO: 17)
ATTTTGAATATTAGTGTGT

(SEQ ID NO: 571)

157
(SEQ ID NO: 17)
TTTATGAGCGGCGAGT

(SEQ ID NO: 572)

158
(SEQ ID NO: 17)
GAGTGGTGAGTTTAGG

(SEQ ID NO: 573)

159
(SEQ ID NO: 17)
AGTCGGTAACGCGTAT

(SEQ ID NO: 574)

160
(SEQ ID NO: 17)
AGAGTTGGTAATGTGTA

(SEQ ID NO: 575)

161
(SEQ ID NO: 17)
TTTTTTACGCGGAAGG

(SEQ ID NO: 576)

162
(SEQ ID NO: 17)
TTTTATGTGGAAGGGG

(SEQ ID NO: 577)

163
LYSOSOMAL-ASSOCIATED MUL-
AGGTCGGTCGTAGATA

TITRANSMEMBRANE PROTEIN
(SEQ ID NO: 578)

(RETINOIC ACID-INDUCIBLE

E3 PROTEIN) (HA1520) LAM5

(SEQ ID NO: 18)

164
LYSOSOMAL-ASSOCIATED MUL-
GAGGTTGGTTGTAGAT

TITRANSMEMBRANE PROTEIN
(SEQ ID NO: 579)

(RETINOIC ACID-INDUCIBLE

E3 PROTEIN) (HA1520) LAM5

(SEQ ID NO: 18)

165
LYSOSOMAL-ASSOCIATED MUL-
GACGTTTATTTCGAGG

TITRANSMEMBRANE PROTEIN
(SEQ ID NO: 580)

(RETINOIC ACID-INDUCIBLE

E3 PROTEIN) (HA1520) LAM5

(SEQ ID NO: 18)

166
LYSOSOMAL-ASSOCIATED MUL-
TGATGTTTATTTTGAGGT

TITRANSMEMBRANE PROTEIN
(SEQ ID NO: 581)

(RETINOIC ACID-INDUCIBLE

E3 PROTEIN) (HA1520) LAM5

(SEQ ID NO: 18)

167
LYSOSOMAL-ASSOCIATED MUL-
TTTGATCGGGATGTGA

TITRANSMEMBRANE PROTEIN
(SEQ ID NO: 582)

(RETINOIC ACID-INDUCIBLE

E3 PROTEIN) (HA1520) LAM5

(SEQ ID NO: 18)

168
LYSOSOMAL-ASSOCIATED MUL-
TTTGATTGGGATGTGA

TITRANSMEMBRANE PROTEIN
(SEQ ID NO: 583)

(RETINOIC ACID-INDUCIBLE

E3 PROTEIN) (HA1520) LAM5

(SEQ ID NO: 18)

169
LYSOSOMAL-ASSOCIATED MUL-
TGTAATTGACGTTTATTT

TITRANSMEMBRANE PROTEIN
(SEQ ID NO: 584)

(RETINOIC ACID-INDUCIBLE

E3 PROTEIN) (HA1520) LAM5

(SEQ ID NO: 18)

170
LYSOSOMAL-ASSOCIATED MUL-
AATGTAATTGATGTTTATTT

TITRANSMEMBRANE PROTEIN
(SEQ ID NO: 585)

(RETINOIC ACID-INDUCIBLE

E3 PROTEIN) (HA1520) LAM5

(SEQ ID NO: 18)

171
“TYPE I INOSITOL-1,4,5-
ATCGGTGTTAGCGGAT

TRISPHOSPHATE 5-PHOSPHA-
(SEQ ID NO: 586)

TASE (EC 3.1.3.56)

(5PTASE) (SEQ ID NO: 19)

172
“TYPE I INOSITOL-1,4,5-
AATTGGTGTTAGTGGA

TRISPHOSPHATE 5-PHOSPHA-
(SEQ ID NO: 587)

TASE (EC 3.1.3.56)

(5PTASE) (SEQ ID NO: 19)

173
“TYPE I INOSITOL-1,4,5-
ATGTTCGTAGGTGTCGG

TRISPHOSPHATE 5-PHOSPHA-
(SEQ ID NO: 588)

TASE (EC 3.1.3.56)

(5PTASE) (SEQ ID NO: 19)

174
“TYPE I INOSITOL-1,4,5-
TTTGTAGGTGTTGGGTA

TRISPHOSPHATE 5-PHOSPHA-
(SEQ ID NO: 589)

TASE (EC 3.1.3.56)

(5PTASE) (SEQ ID NO: 19)

175
“TYPE I INOSITOL-1,4,5-
GTCGTTGTTATCGAGG

TRISPHOSPHATE 5-PHOSPHA-
(SEQ ID NO: 590)

TASE (EC 3.1.3.56)

(5PTASE) (SEQ ID NO: 19)

176
“TYPE I INOSITOL-1,4,5-
GGTTGTTGTTATTGAGG

TRISPHOSPHATE 5-PHOSPHA-
(SEQ ID NO: 591)

TASE (EC 3.1.3.56)

(5PTASE) (SEQ ID NO: 19)

177
“TYPE I INOSITOL-1,4,5-
ATTGCGGTTTTATCGG

TRISPHOSPHATE 5-PHOSPHA-
(SEQ ID NO: 592)

TASE (EC 3.1.3.56)

(5PTASE) (SEQ ID NO: 19)

178
“TYPE I INOSITOL-1,4,5-
ATTGTGGTTTTATTGGT

TRISPHOSPHATE 5-PHOSPHA-
(SEQ ID NO: 593)

TASE (EC 3.1.3.56)

(5PTASE) (SEQ ID NO: 19)

179
PROSTAGLANDIN E2 RECEPTOR,
TTCGATCGGTTGAATA

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 594)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

180
PROSTAGLANDIN E2 RECEPTOR,
TTGAGTTTTGATTGGTT

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 595)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

181
PROSTAGLANDIN E2 RECEPTOR,
TAAGTCGCGTAAGGAG

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 596)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

182
PROSTAGLANDIN E2 RECEPTOR,
AAGTTGTGTAAGGAGTA

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 597)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

183
PROSTAGLANDIN E2 RECEPTOR,
AGGTTCGTTAATCGTT

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 598)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

184
PROSTAGLANDIN E2 RECEPTOR,
TGAGGTTTGTTAATTGT

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 599)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

185
PROSTAGLANDIN E2 RECEPTOR,
TACGTTGGACGTATAG

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 600)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

186
PROSTAGLANDIN E2 RECEPTOR,
AGAGTATGTTGGATGTA

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 601)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

187
PROSTAGLANDIN E2 RECEPTOR,
AGTCGCGAGTTATCGA

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 602)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

188
PROSTAGLANDIN E2 RECEPTOR,
AGTTGTGAGTTATTGAG

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 603)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

189
PROSTAGLANDIN E2 RECEPTOR,
TAGCGCGTCGTATATA

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 604)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

190
PROSTAGLANDIN E2 RECEPTOR,
GGAGTAGTGTGTTGTAT

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 605)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

191
PROSTAGLANDIN E2 RECEPTOR,
GTCGAAAGTCGTTGAG

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 606)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

192
PROSTAGLANDIN E2 RECEPTOR,
GTTGAAAGTTGTTGAGG

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 607)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

193
PROSTAGLANDIN E2 RECEPTOR,
TAGGACGTATCGCGAG

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 608)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

194
PROSTAGLANDIN E2 RECEPTOR,
TAGGATGTATTGTGAGT

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 609)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

195
PROSTAGLANDIN E2 RECEPTOR,
AGTGTATCGTTTTTCGG

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 610)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

196
PROSTAGLANDIN E2 RECEPTOR,
TAGTGTATTGTTTTTTGG

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 611)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

197
PROSTAGLANDIN E2 RECEPTOR,
TTCGTTTACGGTAGTT

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 612)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

198
PROSTAGLANDIN E2 RECEPTOR,
ATTTTTGTTTATGGTAGTT

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 613)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

199
PROSTAGLANDIN E2 RECEPTOR,
TGCGTATCGTTAGTTA

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 614)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

200
PROSTAGLANDIN E2 RECEPTOR,
AGGTTGTGTATTGTTAG

EP4 SUBTYPE (PROSTANOID
(SEQ ID NO: 615)

EP4 RECEPTOR) (PGE RECEP-

TOR, EP4 SUBTYPE)

(SEQ ID NO: 20)

201
(SEQ ID NO: 21)
ATTCGGCGAATAGTAG

(SEQ ID NO: 616)

202
(SEQ ID NO: 21)
TATTTGGTGAATAGTAGTA

(SEQ ID NO: 617)

203
(SEQ ID NO: 21)
ATAGCGTTGGTCGTTA

(SEQ ID NO: 618)

204
(SEQ ID NO: 21)
ATAGTGTTGGTTGTTAG

(SEQ ID NO: 619)

205
(SEQ ID NO: 21)
TTCGGGATACGAGTTT

(SEQ ID NO: 620)

206
(SEQ ID NO: 21)
GTTTGGGATATGAGTTT

(SEQ ID NO: 621)

207
(SEQ ID NO: 21)
TACGATAAGTCGGAGA

(SEQ ID NO: 622)

208
(SEQ ID NO: 21)
GGGTTATGATAAGTTGG

(SEQ ID NO: 623)

209
(SEQ ID NO: 22)
TATCGGCGAGTTGTAT

(SEQ ID NO: 624)

210
(SEQ ID NO: 22)
GGTTATTGGTGAGTTG

(SEQ ID NO: 625)

211
(SEQ ID NO: 22)
TTAACGTTTGGGGACGT

(SEQ ID NO: 626)

212
(SEQ ID NO: 22)
TTAATGTTTGGGGATGT

(SEQ ID NO: 627)

213
(SEQ ID NO: 22)
TATTCGCGTTTTTAGAT

(SEQ ID NO: 628)

214
(SEQ ID NO: 22)
TTATTTGTGTTTTTAGATTA

(SEQ ID NO: 629)

215
EQUILIBRATIVE NUCLEOSIDE
AGGGATAACGGAATATT

TRANSPORTER 1 (EQUILIBRA-
(SEQ ID NO: 630)

TIVE NITROBENZYLMERCAPTO-

PURINE RIBOSIDE-SENSITIVE

NUCLEOSIDE TRANSPORTER)

(EQUILIBRATIVE NBMPR-

SENSITIVE NUCLEOSIDE

TRANSPORTER) (NUCLEOSIDE

TRANSPORTER, ES-TYPE

(SEQ ID NO: 23)

216
EQUILIBRATIVE NUCLEOSIDE
GAAGGGATAATGGAATAT

TRANSPORTER 1 (EQUILIBRA-
(SEQ ID NO: 631)

TIVE NITROBENZYLMERCAPTO-

PURINE RIBOSIDE-SENSITIVE

NUCLEOSIDE TRANSPORTER)

(EQUILIBRATIVE NBMPR-

SENSITIVE NUCLEOSIDE

TRANSPORTER) (NUCLEOSIDE

TRANSPORTER, ES-TYPE

(SEQ ID NO: 23)

217
EQUILIBRATIVE NUCLEOSIDE
GAATAGTTTCGAGATGA

TRANSPORTER 1 (EQUILIBRA-
(SEQ ID NO: 632)

TIVE NITROBENZYLMERCAPTO-

PURINE RIBOSIDE-SENSITIVE

NUCLEOSIDE TRANSPORTER)

(EQUILIBRATIVE NBMPR-

SENSITIVE NUCLEOSIDE

TRANSPORTER) (NUCLEOSIDE

TRANSPORTER, ES-TYPE

(SEQ ID NO: 23)

218
EQUILIBRATIVE NUCLEOSIDE
GGAATAGTTTTGAGATGA

TRANSPORTER 1 (EQUILIBRA-
(SEQ ID NO: 633)

TIVE NITROBENZYLMERCAPTO-

PURINE RIBOSIDE-SENSITIVE

NUCLEOSIDE TRANSPORTER)

(EQUILIBRATIVE NBMPR-

SENSITIVE NUCLEOSIDE

TRANSPORTER) (NUCLEOSIDE

TRANSPORTER, ES-TYPE

(SEQ ID NO: 23)

219
ORPHAN NUCLEAR RECEPTOR
TTTTCGACGAAGTTTT

NR5A2 (ALPHA-1-FETOPROTEIN
(SEQ ID NO: 634)

TRANSCRIPTION FACTOR)

(HEPATOCYTIC TRANSCRIPTION

FACTOR) (B1-BINDING FAC-

TOR) (HB1F) (CYP7A PROMO-

TER BINDING FACTOR)

(SEQ ID NO: 24)

220
ORPHAN NUCLEAR RECEPTOR
TTTTGATGAAGTTTTGTT

NR5A2 (ALPHA-1-FETOPROTEIN
(SEQ ID NO: 635)

TRANSCRIPTION FACTOR)

(HEPATOCYTIC TRANSCRIPTION

FACTOR) (B1-BINDING FAC-

TOR) (HB1F) (CYP7A PROMO-

TER BINDING FACTOR)

(SEQ ID NO: 24)

221
ORPHAN NUCLEAR RECEPTOR
TTACGGAGGCGTTTTA

NR5A2 (ALPHA-1-FETOPROTEIN
(SEQ ID NO: 636)

TRANSCRIPTION FACTOR)

(HEPATOCYTIC TRANSCRIPTION

FACTOR) (B1-BINDING FAC-

TOR) (HB1F) (CYP7A PROMO-

TER BINDING FACTOR)

(SEQ ID NO: 24)

222
ORPHAN NUCLEAR RECEPTOR
TTTTATGGAGGTGTTTT

NR5A2 (ALPHA-1-FETOPROTEIN
(SEQ ID NO: 637)

TRANSCRIPTION FACTOR)

(HEPATOCYTIC TRANSCRIPTION

FACTOR) (B1-BINDING FAC-

TOR) (HB1F) (CYP7A PROMO-

TER BINDING FACTOR)

(SEQ ID NO: 24)

223
ORPHAN NUCLEAR RECEPTOR
AGGCGAATTTATCGGG

NR5A2 (ALPHA-1-FETOPROTEIN
(SEQ ID NO: 638)

TRANSCRIPTION FACTOR)

(HEPATOCYTIC TRANSCRIPTION

FACTOR) (B1-BINDING FAC-

TOR) (HB1F) (CYP7A PROMO-

TER BINDING FACTOR)

(SEQ ID NO: 24)

224
ORPHAN NUCLEAR RECEPTOR
GGTGAATTTATTGGGG

NR5A2 (ALPHA-1-FETOPROTEIN
(SEQ ID NO: 639)

TRANSCRIPTION FACTOR)

(HEPATOCYTIC TRANSCRIPTION

FACTOR) (B1-BINDING FAC-

TOR) (HB1F) (CYP7A PROMO-

TER BINDING FACTOR)

(SEQ ID NO: 24)

225
ORPHAN NUCLEAR RECEPTOR
TAGTCGAAGTAGGCGT

NR5A2 (ALPHA-1-FETOPROTEIN
(SEQ ID NO: 640)

TRANSCRIPTION FACTOR)

(HEPATOCYTIC TRANSCRIPTION

FACTOR) (B1-BINDING FAC-

TOR) (HB1F) (CYP7A PROMO-

TER BINDING FACTOR)

(SEQ ID NO: 24)

226
ORPHAN NUCLEAR RECEPTOR
TAGTTGAAGTAGGTGTT

NR5A2 (ALPHA-1-FETOPROTEIN
(SEQ ID NO: 641)

TRANSCRIPTION FACTOR)

(HEPATOCYTIC TRANSCRIPTION

FACTOR) (B1-BINDING FAC-

TOR) (HB1F) (CYP7A PROMO-

TER BINDING FACTOR)

(SEQ ID NO: 24)

227
PROTEIN-TYROSINE PHOSPHA-
TTCGATCGAAGGTAAT

TASE X PRECURSOR
(SEQ ID NO: 642)

(EC 3.1.3.48) (R-PTP-X)

(ISLET CELL AUTOANTIGEN

RELATED PROTEIN) (ICAAR)

(IAR) (PHOGRIN)

(SEQ ID NO: 25)

228
PROTEIN-TYROSINE PHOSPHA-
TTTGTTTGATTGAAGGT

TASE X PRECURSOR
(SEQ ID NO: 643)

(EC 3.1.3.48) (R-PTP-X)

(ISLET CELL AUTOANTIGEN

RELATED PROTEIN) (ICAAR)

(IAR) (PHOGRIN)

(SEQ ID NO: 25)

229
PROTEIN-TYROSINE PHOSPHA-
AGGCGATCGATATTAG

TASE X PRECURSOR
(SEQ ID NO: 644)

(EC 3.1.3.48) (R-PTP-X)

(ISLET CELL AUTOANTIGEN

RELATED PROTEIN) (ICAAR)

(IAR) (PHOGRIN)

(SEQ ID NO: 25)

230
PROTEIN-TYROSINE PHOSPHA-
GGTGATTGATATTAGGG

TASE X PRECURSOR
(SEQ ID NO: 645)

(EC 3.1.3.48) (R-PTP-X)

(ISLET CELL AUTOANTIGEN

RELATED PROTEIN) (ICAAR)

(IAR) (PHOGRIN)

(SEQ ID NO: 25)

231
PROTEIN-TYROSINE PHOSPHA-
TTAGCGTTCGTCGTTA

TASE X PRECURSOR
(SEQ ID NO: 646)

(EC 3.1.3.48) (R-PTP-X)

(ISLET CELL AUTOANTIGEN

RELATED PROTEIN) (ICAAR)

(IAR) (PHOGRIN)

(SEQ ID NO: 25)

232
PROTEIN-TYROSINE PHOSPHA-
TAATTAGTGTTTGTTGTTA

TASE X PRECURSOR
(SEQ ID NO: 647)

(EC 3.1.3.48) (R-PTP-X)

(ISLET CELL AUTOANTIGEN

RELATED PROTEIN) (ICAAR)

(IAR) (PHOGRIN)

(SEQ ID NO: 25)

233
PROTEIN-TYROSINE PHOSPHA-
ATCGGTTCGGGAATTT

TASE X PRECURSOR
(SEQ ID NO: 648)

(EC 3.1.3.48) (R-PTP-X)

(ISLET CELL AUTOANTIGEN

RELATED PROTEIN) (ICAAR)

(IAR) (PHOGRIN)

(SEQ ID NO: 25)

234
PROTEIN-TYROSINE PHOSPHA-
AGATTGGTTTGGGAAT

TASE X PRECURSOR
(SEQ ID NO: 649)

(EC 3.1.3.48) (R-PTP-X)

(ISLET CELL AUTOANTIGEN

RELATED PROTEIN) (ICAAR)

(IAR) (PHOGRIN)

(SEQ ID NO: 25)

235
(SEQ ID NO: 26)
GTCGATTTCGTTACGG

(SEQ ID NO: 650)

236
(SEQ ID NO: 26)
GTTGATTTTGTTATGGG

(SEQ ID NO: 651)

237
(SEQ ID NO: 26)
TTCGGGTTTCGTATTA

(SEQ ID NO: 652)

238
(SEQ ID NO: 26)
TTTTGGGTTTTGTATTAG

(SEQ ID NO: 653)

239
(SEQ ID NO: 26)
AATTCGCGGTTTCGAT

(SEQ ID NO: 654)

240
(SEQ ID NO: 26)
AATTTGTGGTTTTGATG

(SEQ ID NO: 655)

241
(SEQ ID NO: 26)
GTCGTTTCGCGGAGAT

(SEQ ID NO: 656)

242
(SEQ ID NO: 26)
GTTGTTTTGTGGAGATT

(SEQ ID NO: 657)

243
(SEQ ID NO: 27)
ATTGGTCGATTCGCGG

(SEQ ID NO: 658)

244
(SEQ ID NO: 27)
TATTGGTTGATTTGTGG

(SEQ ID NO: 659)

245
(SEQ ID NO: 27)
AGCGTTTCGATTTCGG

(SEQ ID NO: 660)

246
(SEQ ID NO: 27)
AGTGTTTTGATTTTGGT

(SEQ ID NO: 661)

247
(SEQ ID NO: 27)
ATCGAGCGTTTCGATT

(SEQ ID NO: 662)

248
(SEQ ID NO: 27)
GGATTGAGTGTTTTGAT

(SEQ ID NO: 663)

249
(SEQ ID NO: 27)
ATTCGCGTATTCGAGA

(SEQ ID NO: 664)

250
(SEQ ID NO: 27)
TTTGTGTATTTGAGAGG

(SEQ ID NO: 665)

251
(SEQ ID NO: 27)
GACGTTCGCGATTAAA

(SEQ ID NO: 666)

252
(SEQ ID NO: 27)
TGGATGTTTGTGATTAA

(SEQ ID NO: 667)

253
(SEQ ID NO: 27)
AAGTCGATATCGCGGT

(SEQ ID NO: 668)

254
(SEQ ID NO: 27)
AAAAGTTGATATTGTGGT

(SEQ ID NO: 669)

255
(SEQ ID NO: 27)
AGCGTTCGGAAGTTTA

(SEQ ID NO: 670)

256
(SEQ ID NO: 27)
GGAGTGTTTGGAAGTT

(SEQ ID NO: 671)

257
(SEQ ID NO: 27)
TATTCGGACGGGGATA

(SEQ ID NO: 672)

258
(SEQ ID NO: 27)
ATTTGGATGGGGATAG

(SEQ ID NO: 673)

259
(SEQ ID NO: 27)
GAGACGCGTAGGTTAT

(SEQ ID NO: 674)

260
(SEQ ID NO: 27)
GGGAGATGTGTAGGTT

(SEQ ID NO: 675)

261
(SEQ ID NO: 28)
TAGTTTTCGGCGAAGG

(SEQ ID NO: 676)

262
(SEQ ID NO: 28)
GGTAGTTTTTGGTGAAG

(SEQ ID NO: 677)

263
(SEQ ID NO: 28)
AAGGCGGTGACGTAAA

(SEQ ID NO: 678)

264
(SEQ ID NO: 28)
AAGGTGGTGATGTAAA

(SEQ ID NO: 679)

265
(SEQ ID NO: 28)
ATGGCGTAAGTACGTT

(SEQ ID NO: 680)

266
(SEQ ID NO: 28)
GATGGTGTAAGTATGTT

(SEQ ID NO: 681)

267
(SEQ ID NO: 28)
AGTACGTTCGGGACGA

(SEQ ID NO: 682)

268
(SEQ ID NO: 28)
AAGTATGTTTGGGATGA

(SEQ ID NO: 683)

269
PEROXISOMAL MEMBRANE PRO-
ATGGTATTCGGGTCGT

TEIN PEX14 (PEROXIN-14)
(SEQ ID NO: 684)

(PEROXISOMAL MEMBRANE AN-

CHOR PROTEIN PEX14) (PTS1

RECEPTOR DOCKING PROTEIN)

(SEQ ID NO: 29)

270
PEROXISOMAL MEMBRANE PRO-
TATGGTATTTGGGTTGT

TEIN PEX14 (PEROXIN-14)
(SEQ ID NO: 685)

(PEROXISOMAL MEMBRANE AN-

CHOR PROTEIN PEX14) (PTS1

RECEPTOR DOCKING PROTEIN)

(SEQ ID NO: 29)

271
PEROXISOMAL MEMBRANE PRO-
TTGGAGCGTTAAGTAA

TEIN PEX14 (PEROXIN-14)
(SEQ ID NO: 686)

(PEROXISOMAL MEMBRANE AN-

CHOR PROTEIN PEX14) (PTS1

RECEPTOR DOCKING PROTEIN)

(SEQ ID NO: 29)

272
PEROXISOMAL MEMBRANE PRO-
TATTTGGAGTGTTAAGTA

TEIN PEX14 (PEROXIN-14)
(SEQ ID NO: 687)

(PEROXISOMAL MEMBRANE AN-

CHOR PROTEIN PEX14) (PTS1

RECEPTOR DOCKING PROTEIN)

(SEQ ID NO: 29)

273
PEROXISOMAL MEMBRANE PRO-
TGAAAGATTCGTTTGTT

TEIN PEX14 (PEROXIN-14)
(SEQ ID NO: 688)

(PEROXISOMAL MEMBRANE AN-

CHOR PROTEIN PEX14) (PTS1

RECEPTOR DOCKING PROTEIN)

(SEQ ID NO: 29)

274
PEROXISOMAL MEMBRANE PRO-
GTGAAAGATTTGTTTGTT

TEIN PEX14 (PEROXIN-14)
(SEQ ID NO: 689)

(PEROXISOMAL MEMBRANE AN-

CHOR PROTEIN PEX14) (PTS1

RECEPTOR DOCKING PROTEIN)

(SEQ ID NO: 29)

275
PEROXISOMAL MEMBRANE PRO-
TGTATAACGAGAGGTG

TEIN PEX14 (PEROXIN-14)
(SEQ ID NO: 690)

(PEROXISOMAL MEMBRANE AN-

CHOR PROTEIN PEX14) (PTS1

RECEPTOR DOCKING PROTEIN)

(SEQ ID NO: 29)

276
PEROXISOMAL MEMBRANE PRO-
TGTATAATGAGAGGTGA

TEIN PEX14 (PEROXIN-14)
(SEQ ID NO: 691)

(PEROXISOMAL MEMBRANE AN-

CHOR PROTEIN PEX14) (PTS1

RECEPTOR DOCKING PROTEIN)

(SEQ ID NO: 29)

277
PEROXISOMAL MEMBRANE PRO-
ATGTTTCGGGTATGGA

TEIN PEX14 (PEROXIN-14)
(SEQ ID NO: 692)

(PEROXISOMAL MEMBRANE AN-

CHOR PROTEIN PEX14) (PTS1

RECEPTOR DOCKING PROTEIN)

(SEQ ID NO: 29)

278
PEROXISOMAL MEMBRANE PRO-
ATGTTTTGGGTATGGA

TEIN PEX14 (PEROXIN-14)
(SEQ ID NO: 693)

(PEROXISOMAL MEMBRANE AN-

CHOR PROTEIN PEX14) (PTS1

RECEPTOR DOCKING PROTEIN)

(SEQ ID NO: 29)

279
HOMEOBOX PROTEIN HOX-B6
TTTTCGAGGAATTCGT

(HOX-2B) (HOX-2.2)
(SEQ ID NO: 694)

(SEQ ID NO: 30)

280
HOMEOBOX PROTEIN HOX-B6
TTTTTTGAGGAATTTGTT

(HOX-2B) (HOX-2.2)
(SEQ ID NO: 695)

(SEQ ID NO: 30)

281
HOMEOBOX PROTEIN HOX-B6
ATAGTTTTCGGCGGGT

(HOX-2B) (HOX-2.2)
(SEQ ID NO: 696)

(SEQ ID NO: 30)

282
HOMEOBOX PROTEIN HOX-B6
TATAGTTTTTGGTGGGT

(HOX-2B) (HOX-2.2)
(SEQ ID NO: 697)

(SEQ ID NO: 30)

283
HOMEOBOX PROTEIN HOX-B6
TTTTTCGGCGTAGATA

(HOX-2B) (HOX-2.2)
(SEQ ID NO: 698)

(SEQ ID NO: 30)

284
HOMEOBOX PROTEIN HOX-B6
TGTTTTTTGGTGTAGAT

(HOX-2B) (HOX-2.2)
(SEQ ID NO: 699)

(SEQ ID NO: 30)

285
HOMEOBOX PROTEIN HOX-B6
TTACGGGCGTTAGAGA

(HOX-2B) (HOX-2.2)
(SEQ ID NO: 700)

(SEQ ID NO: 30)

286
HOMEOBOX PROTEIN HOX-B6
GGAGTTATGGGTGTTA

(HOX-2B) (HOX-2.2)
(SEQ ID NO: 701)

(SEQ ID NO: 30)

287
LIM DOMAIN KINASE 1 (EC
TATCGGATTATCGCGG

2.7.1.37) (LIMK-1)
(SEQ ID NO: 702)

(SEQ ID NO: 31)

288
LIM DOMAIN KINASE 1 (EC
ATTGGATTATTGTGGGG

2.7.1.37) (LIMK-1)
(SEQ ID NO: 703)

(SEQ ID NO: 31)

289
LIM DOMAIN KINASE 1 (EC
GTCGGTAGTTTATCGGAT

2.7.1.37) (LIMK-1)
(SEQ ID NO: 704)

(SEQ ID NO: 31)

290
LIM DOMAIN KINASE 1 (EC
GTTGGTAGTTTATTGGAT

2.7.1.37) (LIMK-1)
(SEQ ID NO: 705)

(SEQ ID NO: 31)

291
LIM DOMAIN KINASE 1 (EC
TAGGAGACGTTACGTT

2.7.1.37) (LIMK-1)
(SEQ ID NO: 706)

(SEQ ID NO: 31)

292
LIM DOMAIN KINASE 1 (EC
AGATGTTATGTTAGGGT

2.7.1.37) (LIMK-1)
(SEQ ID NO: 707)

(SEQ ID NO: 31)

293
LOW AFFINITY IMMUNOGLOBU-
AAGAACGGACGTGTTT

LIN GAMMA FC REGION RECEP-
(SEQ ID NO: 708)

TOR II-A PRECURSOR (FC-

GAMMA RII-A) (FCRII-A)

(IGG FC RECEPTOR II-A)

(FC-GAMMA-RIIA) (CD32)

(CDW32) (SEQ ID NO: 32)

294
LOW AFFINITY IMMUNOGLOBU-
AGGAAGAATGGATGTG

LIN GAMMA FC REGION RECEP-
(SEQ ID NO: 709)

TOR II-A PRECURSOR (FC-

GAMMA RII-A) (FCRII-A)

(IGG FC RECEPTOR II-A)

(FC-GAMMA-RIIA) (CD32)

(CDW32) (SEQ ID NO: 32)

295
LOW AFFINITY IMMUNOGLOBU-
TTTTTGCGATAGTCGG

LIN GAMMA FC REGION RECEP-
(SEQ ID NO: 710)

TOR II-A PRECURSOR (FC-

GAMMA RII-A) (FCRII-A)

(IGG FC RECEPTOR II-A)

(FC-GAMMA-RIIA) (CD32)

(CDW32) (SEQ ID NO: 32)

296
LOW AFFINITY IMMUNOGLOBU-
GTTTTTGTGATAGTTGG

LIN GAMMA FC REGION RECEP-
(SEQ ID NO: 711)

TOR II-A PRECURSOR (FC-

GAMMA RII-A) (FCRII-A)

(IGG FC RECEPTOR II-A)

(FC-GAMMA-RIIA) (CD32)

(CDW32) (SEQ ID NO: 32)

297
LOW AFFINITY IMMUNOGLOBU-
TAGCGGCGATTTAAGG

LIN GAMMA FC REGION RECEP-
(SEQ ID NO: 712)

TOR II-A PRECURSOR (FC-

GAMMA RII-A) (FCRII-A)

(IGG FC RECEPTOR II-A)

(FC-GAMMA-RIIA) (CD32)

(CDW32) (SEQ ID NO: 32)

298
LOW AFFINITY IMMUNOGLOBU-
GTAGTGGTGATTTAAGG

LIN GAMMA FC REGION RECEP-
(SEQ ID NO: 713)

TOR II-A PRECURSOR (FC-

GAMMA RII-A) (FCRII-A)

(IGG FC RECEPTOR II-A)

(FC-GAMMA-RIIA) (CD32)

(CDW32) (SEQ ID NO: 32)

299
LOW AFFINITY IMMUNOGLOBU-
TTTACGAGCGAGTCGT

LIN GAMMA FC REGION RECEP-
(SEQ ID NO: 714)

TOR II-A PRECURSOR (FC-

GAMMA RII-A) (FCRII-A)

(IGG FC RECEPTOR II-A)

(FC-GAMMA-RIIA) (CD32)

(CDW32) (SEQ ID NO: 32)

300
LOW AFFINITY IMMUNOGLOBU-
TTTTATGAGTGAGTTGTT

LIN GAMMA FC REGION RECEP-
(SEQ ID NO: 715)

TOR II-A PRECURSOR (FC-

GAMMA RII-A) (FCRII-A)

(IGG FC RECEPTOR II-A)

(FC-GAMMA-RIIA) (CD32)

(CDW32) (SEQ ID NO: 32)
(SEQ ID NO: 32)

301
1-ACYL-SN-GLYCEROL-3-PHOS-
TTTCGATAGTATACGGG

PHATE ACYLTRANSFERASE GAM-
(SEQ ID NO: 716)

MA (EC 2.3.1.51) (1-AGP

ACYLTRANSFERASE 3) (1-

AGPAT 3) (LYSOPHOSPHATIDIC

ACID ACYLTRANSFERASE-GAM-

MA) (LPAAT-GAMMA) (1-ACYL-

GLYCEROL-3-PHOSPHATE O-

ACYLTRANSFERASE 3)

(SEQ ID NO: 33)

302
1-ACYL-SN-GLYCEROL-3-PHOS-
TTTGATAGTATATGGGGA

PHATE ACYLTRANSFERASE GAM-
(SEQ ID NO: 717)

MA (EC 2.3.1.51) (1-AGP

ACYLTRANSFERASE 3) (1-

AGPAT 3) (LYSOPHOSPHATIDIC

ACID ACYLTRANSFERASE-GAM-

MA) (LPAAT-GAMMA) (1-ACYL-

GLYCEROL-3-PHOSPHATE O-

ACYLTRANSFERASE 3)

(SEQ ID NO: 33)

303
1-ACYL-SN-GLYCEROL-3-PHOS-
AAGGGAGCGTTCGTTA

PHATE ACYLTRANSFERASE GAM-
(SEQ ID NO: 718)

MA (EC 2.3.1.51) (1-AGP

ACYLTRANSFERASE 3) (1-

AGPAT 3) (LYSOPHOSPHATIDIC

ACID ACYLTRANSFERASE-GAM-

MA) (LPAAT-GAMMA) (1-ACYL-

GLYCEROL-3-PHOSPHATE O-

ACYLTRANSFERASE 3)

(SEQ ID NO: 33)

304
1-ACYL-SN-GLYCEROL-3-PHOS-
AAGGGAGTGTTTGTTA

PHATE ACYLTRANSFERASE GAM-
(SEQ ID NO: 719)

MA (EC 2.3.1.51) (1-AGP

ACYLTRANSFERASE 3) (1-

AGPAT 3) (LYSOPHOSPHATIDIC

ACID ACYLTRANSFERASE-GAM-

MA) (LPAAT-GAMMA) (1-ACYL-

GLYCEROL-3-PHOSPHATE O-

ACYLTRANSFERASE 3)

(SEQ ID NO: 33)

305
1-ACYL-SN-GLYCEROL-3-PHOS-
AATAATAGCGACGGGG

PHATE ACYLTRANSFERASE GAM-
(SEQ ID NO: 720)

MA (EC 2.3.1.51) (1-AGP

ACYLTRANSFERASE 3) (1-

AGPAT 3) (LYSOPHOSPHATIDIC

ACID ACYLTRANSFERASE-GAM-

MA) (LPAAT-GAMMA) (1-ACYL-

GLYCEROL-3-PHOSPHATE O-

ACYLTRANSFERASE 3)

(SEQ ID NO: 33)

306
1-ACYL-SN-GLYCEROL-3-PHOS-
TAATAGTGATGGGGGT

PHATE ACYLTRANSFERASE GAM-
(SEQ ID NO: 721)

MA (EC 2.3.1.51) (1-AGP

ACYLTRANSFERASE 3) (1-

AGPAT 3) (LYSOPHOSPHATIDIC

ACID ACYLTRANSFERASE-GAM-

MA) (LPAAT-GAMMA) (1-ACYL-

GLYCEROL-3-PHOSPHATE O-

ACYLTRANSFERASE 3)

(SEQ ID NO: 33)

307
HOMEOBOX PROTEIN GSH-2
TTTAGAATCGTCGAGT

(SEQ ID NO: 34)
(SEQ ID NO: 722)

308
HOMEOBOX PROTEIN GSH-2
AGAATTGTTGAGTGAAG

(SEQ ID NO: 34)
(SEQ ID NO: 723)

309
HOMEOBOX PROTEIN GSH-2
TTTTTCGTCGGTTCGTA

(SEQ ID NO: 34)
(SEQ ID NO: 724)

310
HOMEOBOX PROTEIN GSH-2
TTTGTTGGTTTGTAGGA

(SEQ ID NO: 34)
(SEQ ID NO: 725)

311
HOMEOBOX PROTEIN GSH-2
AGGACGGCGTTTATTA

(SEQ ID NO: 34)
(SEQ ID NO: 726)

312
HOMEOBOX PROTEIN GSH-2
GATGAGGATGGTGTTT

(SEQ ID NO: 34)
(SEQ ID NO: 727)

313
HOMEOBOX PROTEIN GSH-2
TTCGATTTCGGAGGAT

(SEQ ID NO: 34)
(SEQ ID NO: 728)

314
HOMEOBOX PROTEIN GSH-2
TTTGATTTTGGAGGATT

(SEQ ID NO: 34)
(SEQ ID NO: 729)

315
(SEQ ID NO: 35)
TTCGTTATCGAGAGTT

(SEQ ID NO: 730)

316
(SEQ ID NO: 35)
GGGTTTTGTTATTGAGA

(SEQ ID NO: 731)

317
(SEQ ID NO: 35)
GACGTGAGCGTTTAGG

(SEQ ID NO: 732)

318
(SEQ ID NO: 35)
GATGTGAGTGTTTAGGG

(SEQ ID NO: 733)

319
(SEQ ID NO: 35)
TACGGAGTTGGCGTTA

(SEQ ID NO: 734)

320
(SEQ ID NO: 35)
TTTATGGAGTTGGTGT

(SEQ ID NO: 735)

321
(SEQ ID NO: 35)
TTGGTTCGTCGAGGAT

(SEQ ID NO: 736)

322
(SEQ ID NO: 35)
TTGGTTTGTTGAGGAT

(SEQ ID NO: 737)

323
HISTONE H4
ATCGAAATCGTAGAGG

(SEQ ID NO: 36)
(SEQ ID NO: 738)

324
HISTONE H4
ATTGAAATTGTAGAGGG

(SEQ ID NO: 36)
(SEQ ID NO: 739)

325
HISTONE H4
TATGGCGGTGATCGTT

(SEQ ID NO: 36)
(SEQ ID NO: 740)

326
HISTONE H4
TTTATGGTGGTGATTGT

(SEQ ID NO: 36)
(SEQ ID NO: 741)

327
HISTONE H4
TTACGGCGTTTCGGAT

(SEQ ID NO: 36)
(SEQ ID NO: 742)

328
HISTONE H4
TTATGGTGTTTTGGATT

(SEQ ID NO: 36)
(SEQ ID NO: 743)

329
HISTONE H4
ATGCGTTTTACGTCGT

(SEQ ID NO: 36)
(SEQ ID NO: 744)

330
HISTONE H4
AGATGTGTTTTATGTTGT

(SEQ ID NO: 36)
(SEQ ID NO: 745)

331
HISTONE H4
TAAGGCGTCGGATGGT

(SEQ ID NO: 36)
(SEQ ID NO: 746)

332
HISTONE H4
GAGTAAGGTGTTGGAT

(SEQ ID NO: 36)
(SEQ ID NO: 747)

333
HISTONE H4
TATTTTACGGTGGCGT

(SEQ ID NO: 36)
(SEQ ID NO: 748)

334
HISTONE H4
ATTTTATGGTGGTGTTT

(SEQ ID NO: 36)
(SEQ ID NO: 749)

335
POTASSIUM VOLTAGE-GATED
ATTTCGGAGGTATCGT

CHANNEL SUBFAMILY KQT MEM-
(SEQ ID NO: 750)

BER 2 (NEUROBLASTOMA-

SPECIFIC POTASSIUM CHANNEL

KQT-LIKE 2)

(SEQ ID NO: 37)

336
POTASSIUM VOLTAGE-GATED
TTTGGAGGTATTGTGT

CHANNEL SUBFAMILY KQT MEM-
(SEQ ID NO: 751)

BER 2 (NEUROBLASTOMA-

SPECIFIC POTASSIUM CHANNEL

KQT-LIKE 2)

(SEQ ID NO: 37)

337
POTASSIUM VOLTAGE-GATED
TTCGTACGGGGTATAG

CHANNEL SUBFAMILY KQT MEM-
(SEQ ID NO: 752)

BER 2 (NEUROBLASTOMA-

SPECIFIC POTASSIUM CHANNEL

KQT-LIKE 2)

(SEQ ID NO: 37)

338
POTASSIUM VOLTAGE-GATED
GGTTTGTATGGGGTATA

CHANNEL SUBFAMILY KQT MEM-
(SEQ ID NO: 753)

BER 2 (NEUROBLASTOMA-

SPECIFIC POTASSIUM CHANNEL

KQT-LIKE 2)

(SEQ ID NO: 37)

339
POTASSIUM VOLTAGE-GATED
TATAAGGCGTTACGGT

CHANNEL SUBFAMILY KQT MEM-
(SEQ ID NO: 754)

BER 2 (NEUROBLASTOMA-

SPECIFIC POTASSIUM CHANNEL

KQT-LIKE 2)

(SEQ ID NO: 37)

340
POTASSIUM VOLTAGE-GATED
GGTATAAGGTGTTATGG

CHANNEL SUBFAMILY KQT MEM-
(SEQ ID NO: 755)

BER 2 (NEUROBLASTOMA-

SPECIFIC POTASSIUM CHANNEL

KQT-LIKE 2)

(SEQ ID NO: 37)

341
POTASSIUM VOLTAGE-GATED
TTACGGTCGCGTAGTA

CHANNEL SUBFAMILY KQT MEM-
(SEQ ID NO: 756)

BER 2 (NEUROBLASTOMA-

SPECIFIC POTASSIUM CHANNEL

KQT-LIKE 2)

(SEQ ID NO: 37)

342
POTASSIUM VOLTAGE-GATED
TATGGTTGTGTAGTAGT

CHANNEL SUBFAMILY KQT MEM-
(SEQ ID NO: 757)

BER 2 (NEUROBLASTOMA-

SPECIFIC POTASSIUM CHANNEL

KQT-LIKE 2)

(SEQ ID NO: 37)

343
ADAPTER-RELATED PROTEIN
TTATTCGTAGTTTTCGG

COMPLEX 1 SIGMA 1B SUBUNIT
(SEQ ID NO: 758)

(SIGMA-ADAPTIN 1B) (ADAP-

TOR PROTEIN COMPLEX AP-1

SIGMA-1B SUBUNIT) (GOLGI

ADAPTOR HA1/AP1 ADAPTIN

SIGMA-1B SUBUNIT) (CLATH-

RIN ASSEMBLY PROTEIN COM-

PLEX 1 SIGMA-1B SMALL

CHAIN) (SIGMA 1B SUBUNIT

OF AP-1 CLATHRIN) (DC22)

(SEQ ID NO: 38)

344
ADAPTER-RELATED PROTEIN
GTTTATTTGTAGTTTTTGG

COMPLEX 1 SIGMA 1B SUBUNIT
(SEQ ID NO: 759)

(SIGMA-ADAPTIN 1B) (ADAP-

TOR PROTEIN COMPLEX AP-1

SIGMA-1B SUBUNIT) (GOLGI

ADAPTOR HA1/AP1 ADAPTIN

SIGMA-1B SUBUNIT) (CLATH-

RIN ASSEMBLY PROTEIN COM-

PLEX 1 SIGMA-1B SMALL

CHAIN) (SIGMA 1B SUBUNIT

OF AP-1 CLATHRIN) (DC22)

(SEQ ID NO: 38)

345
ADAPTER-RELATED PROTEIN
TGTAATCGTTTATTCGT

COMPLEX 1 SIGMA 1B SUBUNIT
(SEQ ID NO: 760)

(SIGMA-ADAPTIN 1B) (ADAP-

TOR PROTEIN COMPLEX AP-1

SIGMA-1B SUBUNIT) (GOLGI

ADAPTOR HA1/AP1 ADAPTIN

SIGMA-1B SUBUNIT) (CLATH-

RIN ASSEMBLY PROTEIN COM-

PLEX 1 SIGMA-1B SMALL

CHAIN) (SIGMA 1B SUBUNIT

OF AP-1 CLATHRIN) (DC22)

(SEQ ID NO: 38)

346
ADAPTER-RELATED PROTEIN
TAATTGTTTATTTGTAGTTT

COMPLEX 1 SIGMA 1B SUBUNIT
(SEQ ID NO: 761)

(SIGMA-ADAPTIN 1B) (ADAP-

TOR PROTEIN COMPLEX AP-1

SIGMA-1B SUBUNIT) (GOLGI

ADAPTOR HA1/AP1 ADAPTIN

SIGMA-1B SUBUNIT) (CLATH-

RIN ASSEMBLY PROTEIN COM-

PLEX 1 SIGMA-1B SMALL

CHAIN) (SIGMA 1B SUBUNIT

OF AP-1 CLATHRIN) (DC22)

(SEQ ID NO: 38)

347
ADAPTER-RELATED PROTEIN
TTCGAAGTCGGGATTA

COMPLEX 1 SIGMA 1B SUBUNIT
(SEQ ID NO: 762)

(SIGMA-ADAPTIN 1B) (ADAP-

TOR PROTEIN COMPLEX AP-1

SIGMA-1B SUBUNIT) (GOLGI

ADAPTOR HA1/AP1 ADAPTIN

SIGMA-1B SUBUNIT) (CLATH-

RIN ASSEMBLY PROTEIN COM-

PLEX 1 SIGMA-1B SMALL

CHAIN) (SIGMA 1B SUBUNIT

OF AP-1 CLATHRIN) (DC22)

(SEQ ID NO: 38)

348
ADAPTER-RELATED PROTEIN
ATTTTGAAGTTGGGATT

COMPLEX 1 SIGMA 1B SUBUNIT
(SEQ ID NO: 763)

(SIGMA-ADAPTIN 1B) (ADAP-

TOR PROTEIN COMPLEX AP-1

SIGMA-1B SUBUNIT) (GOLGI

ADAPTOR HA1/AP1 ADAPTIN

SIGMA-1B SUBUNIT) (CLATH-

RIN ASSEMBLY PROTEIN COM-

PLEX 1 SIGMA-1B SMALL

CHAIN) (SIGMA 1B SUBUNIT

OF AP-1 CLATHRIN) (DC22)

(SEQ ID NO: 38)

349
ADAPTER-RELATED PROTEIN
ATCGAGAGTATTTCGAAG

COMPLEX 1 SIGMA 1B SUBUNIT
(SEQ ID NO: 764)

(SIGMA-ADAPTIN 1B) (ADAP-

TOR PROTEIN COMPLEX AP-1

SIGMA-1B SUBUNIT) (GOLGI

ADAPTOR HA1/AP1 ADAPTIN

SIGMA-1B SUBUNIT) (CLATH-

RIN ASSEMBLY PROTEIN COM-

PLEX 1 SIGMA-1B SMALL

CHAIN) (SIGMA 1B SUBUNIT

OF AP-1 CLATHRIN) (DC22)

(SEQ ID NO: 38)

350
ADAPTER-RELATED PROTEIN
GGATTGAGAGTATTTTGA

COMPLEX 1 SIGMA 1B SUBUNIT
(SEQ ID NO: 765)

(SIGMA-ADAPTIN 1B) (ADAP-

TOR PROTEIN COMPLEX AP-1

SIGMA-1B SUBUNIT) (GOLGI

ADAPTOR HA1/AP1 ADAPTIN

SIGMA-1B SUBUNIT) (CLATH-

RIN ASSEMBLY PROTEIN COM-

PLEX 1 SIGMA-1B SMALL

CHAIN) (SIGMA 1B SUBUNIT

OF AP-1 CLATHRIN) (DC22)

(SEQ ID NO: 38)

351
(SEQ ID NO: 39)
TAAGCGGTATAAGTCGG

(SEQ ID NO: 766)

352
(SEQ ID NO: 39)
AGTGGTATAAGTTGGTT

(SEQ ID NO: 767)

353
(SEQ ID NO: 39)
TTCGGTAAGCGGTATA

(SEQ ID NO: 768)

354
(SEQ ID NO: 39)
ATAATTTGGTAAGTGGTA

(SEQ ID NO: 769)

355
(SEQ ID NO: 39)
TTCGTGATTTTACGTTA

(SEQ ID NO: 770)

356
(SEQ ID NO: 39)
AATTTTGTGATTTTATGTT

(SEQ ID NO: 771)

357
(SEQ ID NO: 39)
TGGCGACGAAGTGTAA

(SEQ ID NO: 772)

358
(SEQ ID NO: 39)
TTTGTGGTGATGAAGT

(SEQ ID NO: 773)

359
(SEQ ID NO: 40)
TAGCGGGTTTACGGAG

(SEQ ID NO: 774)

360
(SEQ ID NO: 40)
AGTAGTGGGTTTATGG

(SEQ ID NO: 775)

361
(SEQ ID NO: 40)
TAACGAGTCGAGCGGA

(SEQ ID NO: 776)

362
(SEQ ID NO: 40)
AATGAGTTGAGTGGAG

(SEQ ID NO: 777)

363
(SEQ ID NO: 40)
TTTTCGCGTGTAAGTT

(SEQ ID NO: 778)

364
(SEQ ID NO: 40)
TTTTTGTGTGTAAGTTAA

(SEQ ID NO: 779)

365
(SEQ ID NO: 40)
TAGGACGATTCGGATA

(SEQ ID NO: 780)

366
(SEQ ID NO: 40)
AGGATGATTTGGATAGT

(SEQ ID NO: 781)

367
(SEQ ID NO: 40)
TTCGAGTGAAAGCGGTA

(SEQ ID NO: 782)

368
(SEQ ID NO: 40)
TTTGAGTGAAAGTGGTA

(SEQ ID NO: 783)

369
PERIPLAKIN (195 KDA CORNI-
TTACGTTTTCGTGAAAT

FIED ENVELOPE PRECURSOR)
(SEQ ID NO: 784)

(190 KDA PARANEOPLASTIC

PEMPHIGUS ANTIGEN)

(SEQ ID NO: 41)

370
PERIPLAKIN (195 KDA CORNI-
TTTTATGTTTTTGTGAAAT

FIED ENVELOPE PRECURSOR)
(SEQ ID NO: 785)

(190 KDA PARANEOPLASTIC

PEMPHIGUS ANTIGEN)

(SEQ ID NO: 41)

371
PERIPLAKIN (195 KDA CORNI-
GGGAGGACGTAGAGTA

FIED ENVELOPE PRECURSOR)
(SEQ ID NO: 786)

(190 KDA PARANEOPLASTIC

PEMPHIGUS ANTIGEN)

(SEQ ID NO: 41)

372
PERIPLAKIN (195 KDA CORNI-
GGGAGGATGTAGAGTA

FIED ENVELOPE PRECURSOR)
(SEQ ID NO: 787)

(190 KDA PARANEOPLASTIC

PEMPHIGUS ANTIGEN)

(SEQ ID NO: 41)

373
PERIPLAKIN (195 KDA CORNI-
TGGGTTATCGTTTATATT

FIED ENVELOPE PRECURSOR)
(SEQ ID NO: 788)

(190 KDA PARANEOPLASTIC

PEMPHIGUS ANTIGEN)

(SEQ ID NO: 41)

374
PERIPLAKIN (195 KDA CORNI-
TTGGGTTATTGTTTATATT

FIED ENVELOPE PRECURSOR)
(SEQ ID NO: 789)

(190 KDA PARANEOPLASTIC

PEMPHIGUS ANTIGEN)

(SEQ ID NO: 41)

375
PERIPLAKIN (195 KDA CORNI-
TGGTATCGGTTTTTGAA

FIED ENVELOPE PRECURSOR)
(SEQ ID NO: 790)

(190 KDA PARANEOPLASTIC

PEMPHIGUS ANTIGEN)

(SEQ ID NO: 41)

376
PERIPLAKIN (195 KDA CORNI-
TGGTATTGGTTTTTGAA

FIED ENVELOPE PRECURSOR)
(SEQ ID NO: 791)

(190 KDA PARANEOPLASTIC

PEMPHIGUS ANTIGEN)

(SEQ ID NO: 41)

377
PERIPLAKIN (195 KDA CORNI-
GTTTAGGTTCGAGTTTA

FIED ENVELOPE PRECURSOR)
(SEQ ID NO: 792)

(190 KDA PARANEOPLASTIC

PEMPHIGUS ANTIGEN)

(SEQ ID NO: 41)

378
PERIPLAKIN (195 KDA CORNI-
GGTTTAGGTTTGAGTTTA

FIED ENVELOPE PRECURSOR)
(SEQ ID NO: 793)

(190 KDA PARANEOPLASTIC

PEMPHIGUS ANTIGEN)

(SEQ ID NO: 41)

379
(SEQ ID NO: 42)
AGAATTGCGACGGTTT

(SEQ ID NO: 794)

380
(SEQ ID NO: 42)
AATTGTGATGGTTTGTA

(SEQ ID NO: 795)

381
(SEQ ID NO: 42)
TTACGTTTATTTACGGG

(SEQ ID NO: 796)

382
(SEQ ID NO: 42)
TATGTTTATTTATGGGGAT

(SEQ ID NO: 797)

383
(SEQ ID NO: 42)
TGGATGTGCGGAAGAA

(SEQ ID NO: 798)

384
(SEQ ID NO: 42)
GATGTGTGGAAGAAGT

(SEQ ID NO: 799)

385
(SEQ ID NO: 42)
ATGGGTACGTTGTTTA

(SEQ ID NO: 800)

386
(SEQ ID NO: 42)
TATGGGTATGTTGTTTAT

(SEQ ID NO: 801)

387
(SEQ ID NO: 42)
GGATATTTGCGTTAGTA

(SEQ ID NO: 802)

388
(SEQ ID NO: 42)
GGATATTTGTGTTAGTATT

(SEQ ID NO: 803)

389
(SEQ ID NO: 43)
GACGTGTTCGGGTTTTA

(SEQ ID NO: 804)

390
(SEQ ID NO: 43)
GATGTGTTTGGGTTTTA

(SEQ ID NO: 805)

391
(SEQ ID NO: 43)
AGTCGACGGTTTGAGG

(SEQ ID NO: 806)

392
(SEQ ID NO: 43)
AGTTGATGGTTTGAGG

(SEQ ID NO: 807)

393
(SEQ ID NO: 43)
TTATTGCGTTGTTAAGT

(SEQ ID NO: 808)

394
(SEQ ID NO: 43)
GTTATTGTGTTGTTAAGT

(SEQ ID NO: 809)

395
(SEQ ID NO: 44)
ATTTAAACGGGGTCGT

(SEQ ID NO: 810)

396
(SEQ ID NO: 44)
AATTTAAATGGGGTTGT

(SEQ ID NO: 811)

397
(SEQ ID NO: 44)
ATCGGTTTTTTGTATCGAATA

(SEQ ID NO: 812)

398
(SEQ ID NO: 44)
ATTGGTTTTTTGTATTGAATA

(SEQ ID NO: 813)

399
(SEQ ID NO: 44)
TTCGGCGTTTTCGTAG

(SEQ ID NO: 814)

400
(SEQ ID NO: 44)
TGAAAGTTCGGCGTTT

(SEQ ID NO: 815)

401
(SEQ ID NO: 44)
TTTGGTGTTTTTGTAGG

(SEQ ID NO: 816)

402
(SEQ ID NO: 44)
TGAAAGTTTGGTGTTTT

(SEQ ID NO: 817)

403
(SEQ ID NO: 45)
ATCGGTTTTTCGAGGT

(SEQ ID NO: 818)

404
(SEQ ID NO: 45)
ATTGGTTTTTTGAGGTT

(SEQ ID NO: 819)

405
(SEQ ID NO: 45)
GGTCGATTTTCGCGTA

(SEQ ID NO: 820)

406
(SEQ ID NO: 45)
TGGTTGATTTTTGTGTA

(SEQ ID NO: 821)

407
(SEQ ID NO: 46)
GGTAATTTCGCGTATT

(SEQ ID NO: 822)

408
(SEQ ID NO: 46)
TTGGTAATTTTGTGTATTT

(SEQ ID NO: 823)

409
(SEQ ID NO: 47)
TATGCGTATACGTGGT

(SEQ ID NO: 824)

410
(SEQ ID NO: 47)
ATGTGTATATGTGGTTTT

(SEQ ID NO: 825)

411
(SEQ ID NO: 47)
GTCGTTTTATGCGTAT

(SEQ ID NO: 826)

412
(SEQ ID NO: 47)
TGGTTGTTTTATGTGTAT

(SEQ ID NO: 827)

413
(SEQ ID NO: 47)
TAGTTTTCGAATTTCGT

(SEQ ID NO: 828)

414
(SEQ ID NO: 47)
ATTAGTTTTTGAATTTTGT

(SEQ ID NO: 829)

415
(SEQ ID NO: 48)
TAGCGAGGGTCGTTTT

(SEQ ID NO: 830)

416
(SEQ ID NO: 48)
TAGTGAGGGTTGTTTT

(SEQ ID NO: 831)

417
(SEQ ID NO: 48)
TTAGGTCGCGTCGGTA

(SEQ ID NO: 832)

418
(SEQ ID NO: 48)
AGGTTGTGTTGGTAGA

(SEQ ID NO: 833)

419
(SEQ ID NO: 48)
ATTTCGTTTACGTCGT

(SEQ ID NO: 834)

420
(SEQ ID NO: 48)
GGATTTTGTTTATGTTGT

(SEQ ID NO: 835)

421
(SEQ ID NO: 48)
TTTTCGTATTCGGGTA

(SEQ ID NO: 836)

422
(SEQ ID NO: 48)
TTTGTATTTGGGTAAAAG

(SEQ ID NO: 837)

423
(SEQ ID NO: 48)
AGGATCGGGATTCGTA

(SEQ ID NO: 838)

424
(SEQ ID NO: 48)
AGGATTGGGATTTGTAG

(SEQ ID NO: 839)

425
(SEQ ID NO: 48)
TTCGTTTAAGCGGGGT

(SEQ ID NO: 840)

426
(SEQ ID NO: 48)
TTTGTTTAAGTGGGGT

(SEQ ID NO: 841)

427
(SEQ ID NO: 49)
ATATTCGTGCGGTCGG

(SEQ ID NO: 842)

428
(SEQ ID NO: 49)
ATATTTGTGTGGTTGGA

(SEQ ID NO: 843)

429
(SEQ ID NO: 49)
TTAGGTCGTGGAATGT

(SEQ ID NO: 844)

430
(SEQ ID NO: 49)
TTAGGTTGTGGAATGT

(SEQ ID NO: 845)

431
(SEQ ID NO: 49)
AGGAATCGTGAGTAGG

(SEQ ID NO: 846)

432
(SEQ ID NO: 49)
AGGAATTGTGAGTAGG

(SEQ ID NO: 847)

433
DNA REPLICATION FACTOR;
TTCGATATCGAGTCGG

DOUBLE PARKED, DROSOPHILA,
(SEQ ID NO: 848)

HOMOLOG OF (SEQ ID NO: 50)

434
DNA REPLICATION FACTOR;
ATTTGATATTGAGTTGGT

DOUBLE PARKED, DROSOPHILA,
(SEQ ID NO: 849)

HOMOLOG OF (SEQ ID NO: 50)

435
DNA REPLICATION FACTOR;
ATTCGCGTTTTAACGT

DOUBLE PARKED, DROSOPHILA,
(SEQ ID NO: 850)

HOMOLOG OF (SEQ ID NO: 50)

436
DNA REPLICATION FACTOR;
TTTGTGTTTTAATGTGGA

DOUBLE PARKED, DROSOPHILA,
(SEQ ID NO: 851)

HOMOLOG OF (SEQ ID NO: 50)

437
DNA REPLICATION FACTOR;
TTCGGTTGGGACGTAA

DOUBLE PARKED, DROSOPHILA,
(SEQ ID NO: 852)

HOMOLOG OF (SEQ ID NO: 50)

438
DNA REPLICATION FACTOR;
TTTGGTTGGGATGTAA

DOUBLE PARKED, DROSOPHILA,
(SEQ ID NO: 853)

HOMOLOG OF (SEQ ID NO: 50)

439
DNA REPLICATION FACTOR;
TTAAGGCGTTTAGCGA

DOUBLE PARKED, DROSOPHILA,
(SEQ ID NO: 854)

HOMOLOG OF (SEQ ID NO: 50)

440
DNA REPLICATION FACTOR;
TTTTAAGGTGTTTAGTGA

DOUBLE PARKED, DROSOPHILA,
(SEQ ID NO: 855)

HOMOLOG OF (SEQ ID NO: 50)

441
PR-DOMAIN ZINC FINGER PRO-
TATCGTCGAGTGTGTA

TEIN 16 (TRANSCRIPTION
(SEQ ID NO: 856)

FACTOR MEL1)

(SEQ ID NO: 51)

442
PR-DOMAIN ZINC FINGER PRO-
GGGGTTATTGTTGAGT

TEIN 16 (TRANSCRIPTION
(SEQ ID NO: 857)

FACTOR MEL1)

(SEQ ID NO: 51)

443
PR-DOMAIN ZINC FINGER PRO-
TATTATTCGAGTTAGAGG

TEIN 16 (TRANSCRIPTION
(SEQ ID NO: 858)

FACTOR MEL1)

(SEQ ID NO: 51)

444
PR-DOMAIN ZINC FINGER PRO-
TTATTATTTGAGTTAGAGG

TEIN 16 (TRANSCRIPTION
(SEQ ID NO: 859)

FACTOR MEL1)

(SEQ ID NO: 51)

445
PR-DOMAIN ZINC FINGER PRO-
AGGATTCGTTGAAGAA

TEIN 16 (TRANSCRIPTION
(SEQ ID NO: 860)

FACTOR MEL1)

(SEQ ID NO: 51)

446
PR-DOMAIN ZINC FINGER PRO-
GTAGGATTTGTTGAAGA

TEIN 16 (TRANSCRIPTION
(SEQ ID NO: 861)

FACTOR MEL1)

(SEQ ID NO: 51)

447
PR-DOMAIN ZINC FINGER PRO-
TTATTAGGCGATATTTTAA

TEIN 16 (TRANSCRIPTION
(SEQ ID NO: 862)

FACTOR MEL1)

(SEQ ID NO: 51)

448
PR-DOMAIN ZINC FINGER PRO-
TATTAGGTGATATTTTAAGT

TEIN 16 (TRANSCRIPTION
(SEQ ID NO: 863)

FACTOR MEL1)

(SEQ ID NO: 51)

449
TUMOR SUPPRESSING SUB-
TAGTACGTTGGTTCGG

TRANSFERABLE CANDIDATE 5;
(SEQ ID NO: 864)

P45 BECKWITH-WIEDEMANN

REGION 1A; BECKWITH-WIEDE-

MANN SYNDROME CHROMOSOME

REGION 1, CANDIDATE A;

EFFLUX TRANSPORTER-LIKE

PROTEIN; ORGANIC CATION

TRANSPORTER-LIKE 2; TUMOR-

SUPPRESSING STE CDNA 5;

IMPRINTED MULTI-MEMBRANE

SPANNING POLYSPECIFIC

TRANSPORTER-RELATED

PROTEIN (SEQ ID NO: 52)

450
TUMOR SUPPRESSING SUB-
TATGTTGGTTTGGAGT

TRANSFERABLE CANDIDATE 5;
(SEQ ID NO: 865)

P45 BECKWITH-WIEDEMANN

REGION 1A; BECKWITH-WIEDE-

MANN SYNDROME CHROMOSOME

REGION 1, CANDIDATE A;

EFFLUX TRANSPORTER-LIKE

PROTEIN; ORGANIC CATION

TRANSPORTER-LIKE 2; TUMOR-

SUPPRESSING STE CDNA 5;

IMPRINTED MULTI-MEMBRANE

SPANNING POLYSPECIFIC

TRANSPORTER-RELATED

PROTEIN (SEQ ID NO: 52)

451
TUMOR SUPPRESSING SUB-
AGTTGTTCGATGATTAG

TRANSFERABLE CANDIDATE 5;
(SEQ ID NO: 866)

P45 BECKWITH-WIEDEMANN

REGION 1A; BECKWITH-WIEDE-

MANN SYNDROME CHROMOSOME

REGION 1, CANDIDATE A;

EFFLUX TRANSPORTER-LIKE

PROTEIN; ORGANIC CATION

TRANSPORTER-LIKE 2; TUMOR-

SUPPRESSING STE CDNA 5;

IMPRINTED MULTI-MEMBRANE

SPANNING POLYSPECIFIC

TRANSPORTER-RELATED

PROTEIN (SEQ ID NO: 52)

452
TUMOR SUPPRESSING SUB-
TTTAGTTGTTTGATGATTA

TRANSFERABLE CANDIDATE 5;
(SEQ ID NO: 867)

P45 BECKWITH-WIEDEMANN

REGION 1A; BECKWITH-WIEDE-

MANN SYNDROME CHROMOSOME

REGION 1, CANDIDATE A;

EFFLUX TRANSPORTER-LIKE

PROTEIN; ORGANIC CATION

TRANSPORTER-LIKE 2; TUMOR-

SUPPRESSING STE CDNA 5;

IMPRINTED MULTI-MEMBRANE

SPANNING POLYSPECIFIC

TRANSPORTER-RELATED

PROTEIN (SEQ ID NO: 52)

453
TUMOR SUPPRESSING SUB-
AGATTAGTACGTTGGTT

TRANSFERABLE CANDIDATE 5;
(SEQ ID NO: 868)

P45 BECKWITH-WIEDEMANN

REGION 1A; BECKWITH-WIEDE-

MANN SYNDROME CHROMOSOME

REGION 1, CANDIDATE A;

EFFLUX TRANSPORTER-LIKE

PROTEIN; ORGANIC CATION

TRANSPORTER-LIKE 2; TUMOR-

SUPPRESSING STE CDNA 5;

IMPRINTED MULTI-MEMBRANE

SPANNING POLYSPECIFIC

TRANSPORTER-RELATED

PROTEIN (SEQ ID NO: 52)

454
TUMOR SUPPRESSING SUB-
AAGATTAGTATGTTGGTT

TRANSFERABLE CANDIDATE 5;
(SEQ ID NO: 869)

P45 BECKWITH-WIEDEMANN

REGION 1A; BECKWITH-WIEDE-

MANN SYNDROME CHROMOSOME

REGION 1, CANDIDATE A;

EFFLUX TRANSPORTER-LIKE

PROTEIN; ORGANIC CATION

TRANSPORTER-LIKE 2; TUMOR-

SUPPRESSING STE CDNA 5;

IMPRINTED MULTI-MEMBRANE

SPANNING POLYSPECIFIC

TRANSPORTER-RELATED

PROTEIN (SEQ ID NO: 52)

455
TUMOR SUPPRESSING SUB-
TTAAAGCGGGGAGTTT

TRANSFERABLE CANDIDATE 5;
(SEQ ID NO: 870)

P45 BECKWITH-WIEDEMANN

REGION 1A; BECKWITH-WIEDE-

MANN SYNDROME CHROMOSOME

REGION 1, CANDIDATE A;

EFFLUX TRANSPORTER-LIKE

PROTEIN; ORGANIC CATION

TRANSPORTER-LIKE 2; TUMOR-

SUPPRESSING STE CDNA 5;

IMPRINTED MULTI-MEMBRANE

SPANNING POLYSPECIFIC

TRANSPORTER-RELATED

PROTEIN (SEQ ID NO: 52)

456
TUMOR SUPPRESSING SUB-
GTTTAAAGTGGGGAGT

TRANSFERABLE CANDIDATE 5;
(SEQ ID NO: 871)

P45 BECKWITH-WIEDEMANN

REGION 1A; BECKWITH-WIEDE-

MANN SYNDROME CHROMOSOME

REGION 1, CANDIDATE A;

EFFLUX TRANSPORTER-LIKE

PROTEIN; ORGANIC CATION

TRANSPORTER-LIKE 2; TUMOR-

SUPPRESSING STE CDNA 5;

IMPRINTED MULTI-MEMBRANE

SPANNING POLYSPECIFIC

TRANSPORTER-RELATED

PROTEIN (SEQ ID NO: 52)

457
TUMOR SUPPRESSING SUB-
AGATGGTATCGTTTAGG

TRANSFERABLE CANDIDATE 5;
(SEQ ID NO: 872)

P45 BECKWITH-WIEDEMANN

REGION 1A; BECKWITH-WIEDE-

MANN SYNDROME CHROMOSOME

REGION 1, CANDIDATE A;

EFFLUX TRANSPORTER-LIKE

PROTEIN; ORGANIC CATION

TRANSPORTER-LIKE 2; TUMOR-

SUPPRESSING STE CDNA 5;

IMPRINTED MULTI-MEMBRANE

SPANNING POLYSPECIFIC

TRANSPORTER-RELATED

PROTEIN (SEQ ID NO: 52)

458
TUMOR SUPPRESSING SUB-
ATGGTATTGTTTAGGTG

TRANSFERABLE CANDIDATE 5;
(SEQ ID NO: 873)

P45 BECKWITH-WIEDEMANN

REGION 1A; BECKWITH-WIEDE-

MANN SYNDROME CHROMOSOME

REGION 1, CANDIDATE A;

EFFLUX TRANSPORTER-LIKE

PROTEIN; ORGANIC CATION

TRANSPORTER-LIKE 2; TUMOR-

SUPPRESSING STE CDNA 5;

IMPRINTED MULTI-MEMBRANE

SPANNING POLYSPECIFIC

TRANSPORTER-RELATED

PROTEIN (SEQ ID NO: 52)

459
CDH1
TATCGCGTTTATGCGA

(SEQ ID NO: 54)
(SEQ ID NO: 874)

460
CDH1
ATTGTGTTTATGTGAGG

(SEQ ID NO: 54)
(SEQ ID NO: 875)

461
CDH1
TTATGCGAGGTCGGGT

(SEQ ID NO: 54)
(SEQ ID NO: 876)

462
CDH1
TTATGTGAGGTTGGGT

(SEQ ID NO: 54)
(SEQ ID NO: 877)

463
CDH1
TTAATTAGCGGTACGG

(SEQ ID NO: 54)
(SEQ ID NO: 878)

464
CDH1
AATTAGTGGTATGGGG

(SEQ ID NO: 54)
(SEQ ID NO: 879)

465
CDH1
TAGTGGCGTCGGAATT

(SEQ ID NO: 54)
(SEQ ID NO: 880)

466
CDH1
TAGTGGTGTTGGAATT

(SEQ ID NO: 54)
(SEQ ID NO: 881)

467
CDKN2a
GGCGTTGTTTAACGTAT

(SEQ ID NO: 55)
(SEQ ID NO: 882)

468
CDKN2a
GGGTGTTGTTTAATGTA

(SEQ ID NO: 55)
(SEQ ID NO: 883)

469
CDKN2a
TGTTTAACGTATCGAAT

(SEQ ID NO: 55)
(SEQ ID NO: 884)

470
CDKN2a
GTTGTTTAATGTATTGAAT

(SEQ ID NO: 55)
(SEQ ID NO: 885)

471
CDKN2a
AATAGTTACGGTCGGA

(SEQ ID NO: 55)
(SEQ ID NO: 886)

472
CDKN2a
AGTTATGGTTGGAGGT

(SEQ ID NO: 55)
(SEQ ID NO: 887)

473
CDKN2a
GTCGGAGGTCGATTTA

(SEQ ID NO: 55)
(SEQ ID NO: 888)

474
CDKN2a
GGTTGGAGGTTGATTTA

(SEQ ID NO: 55)
(SEQ ID NO: 889)

475
CD44
AGGTATTTCGCGATAT

(SEQ ID NO: 56)
(SEQ ID NO: 890)

476
CD44
AGGTATTTTGTGATATTTT

(SEQ ID NO: 56)
(SEQ ID NO: 891)

477
CD44
TAGGTTCGGTTCGTTAT

(SEQ ID NO: 56)
(SEQ ID NO: 892)

478
CD44
TAGGTTTGGTTTGTTATT

(SEQ ID NO: 56)
(SEQ ID NO: 893)

479
CD44
GTTCGTTTCGGATATTA

(SEQ ID NO: 56)
(SEQ ID NO: 894)

480
CD44
TTTGTTTTGGATATTATGG

(SEQ ID NO: 56)
(SEQ ID NO: 895)

481
CD44
TTTGGCGTAGATCGGT

(SEQ ID NO: 56)
(SEQ ID NO: 896)

482
CD44
TTTGGTGTAGATTGGT

(SEQ ID NO: 56)
(SEQ ID NO: 897)

483
CD44
TTTAGCGCGGATTCGG

(SEQ ID NO: 56)
(SEQ ID NO: 898)

484
CD44
GTTTAGTGTGGATTTGG

(SEQ ID NO: 56)
(SEQ ID NO: 899)

485
GSTP1
ATCGTTGCGATTTCGG

(SEQ ID NO: 57)
(SEQ ID NO: 900)

486
GSTP1
ATTGTTGTGATTTTGGA

(SEQ ID NO: 57)
(SEQ ID NO: 901)

487
GSTP1
AGTGTGCGTAGCGAAT

(SEQ ID NO: 57)
(SEQ ID NO: 902)

488
GSTP1
GTGTGTAGTGAATTGG

(SEQ ID NO: 57)
(SEQ ID NO: 903)

489
GSTP1
GAGTCGTCGCGTAGTT

(SEQ ID NO: 57)
(SEQ ID NO: 904)

490
GSTP1
GGAGTTGTTGTGTAGTT

(SEQ ID NO: 57)
(SEQ ID NO: 905)

491
GSTP1
ATTTTCGTCGGTTTTAG

(SEQ ID NO: 57)
(SEQ ID NO: 906)

492
GSTP1
GGATTTTTGTTGGTTTTA

(SEQ ID NO: 57)
(SEQ ID NO: 907)

493
GSTP1
TTCGCGGTTTTCGAGT

(SEQ ID NO: 57)
(SEQ ID NO: 908)

494
GSTP1
TTTGTGGTTTTTGAGTT

(SEQ ID NO: 57)
(SEQ ID NO: 909)

495
GSTP1
TAGCGAAGTTTCGCGG

(SEQ ID NO: 57)
(SEQ ID NO: 910)

496
GSTP1
AGTGAAGTTTTGTGGT

(SEQ ID NO: 57)
(SEQ ID NO: 911)

497
GSTP1
GTCGCGCGTATTTATT

(SEQ ID NO: 57)
(SEQ ID NO: 912)

498
GSTP1
GGGTTGTGTGTATTTAT

(SEQ ID NO: 57)
(SEQ ID NO: 913)

499
IGF2
TACGTATAAAATTTCGTATT

(SEQ ID NO: 58)
(SEQ ID NO: 914)

500
IGF2
AAATTATGTATAAAATTTTGT

(SEQ ID NO: 58)
(SEQ ID NO: 915)

501
IGF2
ATAGACGCGAGTTCGG

(SEQ ID NO: 58)
(SEQ ID NO: 916)

502
IGF2
AGATGTGAGTTTGGTT

(SEQ ID NO: 58)
(SEQ ID NO: 917)

503
IGF2
TATCGGGGTGCGTTTA

(SEQ ID NO: 58)
(SEQ ID NO: 918)

504
IGF2
ATTGGGGTGTGTTTAA

(SEQ ID NO: 58)
(SEQ ID NO: 919)

505
IGF2
TTACGGAGGTTTCGGT

(SEQ ID NO: 58)
(SEQ ID NO: 920)

506
IGF2
TTATGGAGGTTTTGGT

(SEQ ID NO: 58)
(SEQ ID NO: 921)

507
AR
TTATAGTCGTAGTCGGT

(SEQ ID NO: 53)
(SEQ ID NO: 922)

508
AR
AGTTGTAGTTGGTTTTG

(SEQ ID NO: 53)
(SEQ ID NO: 923)

509
AR
GTCGTGGTCGTTAGTA

(SEQ ID NO: 53)
(SEQ ID NO: 924)

510
AR
GTTGTGGTTGTTAGTAA

(SEQ ID NO: 53)
(SEQ ID NO: 925)

511
AR
TATTTTCGGACGAGGA

(SEQ ID NO: 53)
(SEQ ID NO: 926)

512
AR
AGTATTTTTGGATGAGG

(SEQ ID NO: 53)
(SEQ ID NO: 927)

Example 4

In the following analysis the methylation status of the genes according to Table 10 were analysed by means of methylation specific polymerase chain reaction using the primers according to Table 10 (below).

The study was run on 50 prostate cancer and 50 Benign Prostate Hyperplasia (BPH) tissue samples. Genomic DNA was analyzed using the MSP technique after bisulfite conversion. The bisulfite process converts unmethylated cytosines to uracil while methylated cytosines remained conserved. Bisulfite treatment was performed with minor modifications according to the protocol described in Olek et al. (1996). Sequences of interest were then amplified by means of methylation specific primers, and the amplificate is detected by means of Taqman probes (see Table 10).

TABLE 10

Genomic

SEQ ID

NO:
Primer
Primer
Taqman probe

20
Cgcgctactccgcat
Gaggtaatcgaggcggt
56-

aca
cg
FAM/cgccaattcatacgc

(SEQ ID NO: 958)
(SEQ ID NO: 959)
cgcacc/3BHQ

(SEQ ID NO: 960)

36
Accgaaaatacgctt
Gcgttatcgtaaagtat
/56-

cacg
tgcgc
FAM/cgcgacgaacaaaac

(SEQ ID NO: 961)
(SEQ ID NO: 962)
gccg/3BHQ_1/

(SEQ ID NO: 963)

36
Gcgttttacgtcgtc
Gacgctaaacgccaccg
/56-

gcg
t
FAM/ccgaccatccgacgc

(SEQ ID NO: 964)
(SEQ ID NO: 965)
cttactcg/3BHQ_1/

(SEQ ID NO: 966)

51
Cgaatttataccgaa
Aggttacgggaggtcga
56-FAM/

cgctcctacg
ggtcg
cccgccatcgaccgttccc

(SEQ ID NO: 967)
(SEQ ID NO: 968)
gaccccta/3BHQ

(SEQ ID NO: 969)

51
Tcccgaatttataac
Ttttatttaggggtcgg
56-FAM/

gaacg
gaac
acgccccgccatcgaccg/

(SEQ ID NO: 970)
(SEQ ID NO: 971)
3BHQ_1

(SEQ ID NO: 972)

24
Ttgtggttcgggaag
Cttcgatcgaaaaaaac
56-FAM/

agac
cg
aactacgcgcaaacccgcg

(SEQ ID NO: 973)
(SEQ ID NO: 974)
a/3BHQ

(SEQ ID NO: 975)

31
Cgtttttcgttttat
Gacaaaaaacgccacgt
56-

tttcgc
c
FAM/ccgacaattcaccga

(SEQ ID NO: 976)
(SEQ ID NO: 977)
atcaccg/3BHQ_1

(SEQ ID NO: 978)

11
Atctcacctaccgtc
Taggagtgcgatcgttt
56-

gcg
gc
FAM/acgaacgttacgacc

(SEQ ID NO: 979)
(SEQ ID NO: 980)
gatacccaacta/3BHQ

(SEQ ID NO: 981)

4
Aacgtatccagacaa
Gagtatttaaggtttag
56-FAM/

tccg
tgaaacgttagc
caaataacgcgacaataaa

(SEQ ID NO: 982)
(SEQ ID NO: 983)
cgcataattc/3BHQ_1

(SEQ ID NO: 984)

4
Tgttttcggagtgcg
Aaatcaaaccgacgata
56-FAM/

ttc
cga
ccgataaaacgcgtccaaa

(SEQ ID NO: 985)
(SEQ ID NO: 986)
ccg/3BHQ

(SEQ ID NO: 987)

The term BHQ denotes Black Hole Quencher (BHQ™) dyes, FAM is a commonly used fluorophore dye molecule.

Reagents:

A standard set of reagent and cycling conditions are used for MSP establishment and template amplification. Standard conditions are outlined in Tables 11 & 12. Prior to running biological samples, amplicons were established using 100 picograms of completely methylated DNA as a positive control and and 100 nanograms of unmethylated DNA as a negative control. Reaction conditions were also checked for relative sensitivity using 50 picograms of methylated DNA in a background of 50 nanograms of unmethylated DNA. Reagent concentrations are outlined in Table 11 and cycling conditions for the ABI 7700 are defined in Table 12.

TABLE 11

Reagent concentrations.

Stock Conc.
Final Rx Conc.
MM Conc.
MM Volume

Reagent
(uM)
(nM)
(uM)
(uL)

Forward
10.0
500.0
3.33
35.0

Reverse
10.0
500.0
3.33
35.0

Probe
100.0
400.0
2.67
2.8

Water
—
—
—
32.2

Taqmix
—
—
—
245.0

Total
—
—
—
350.0

TABLE 12

Cycling conditions

Temperature
Time
# of

(C.)
(sec)
Cycles

Denature

1

95
600

Annealing

50

95
10

60 or 63
45

Data Analysis:
Class Prediction by Supervised Learning

In order to give a reliable estimate of how well the CpG ensemble of a selected marker can differentiate between different tissue classes we can determine its prediction accuracy by classification. For that purpose we calculate a methylation profile-based prediction function using a certain set of tissue samples with a specific class label. This step is called training and it exploits the prior knowledge represented by the data labels. The prediction accuracy of that function is then tested on a set of independent samples. As a method of choice, we use the support vector machine (SVM) algorithm (see e.g. Cristiannini, N. and Shawe-Taylor, J. An introduction to support vector machines. Cambridge, UK: Cambridge University Press, 2000.; Duda, R. O., Hart, P. E., and Stork, D. G. Pattern Classification. New York: John Wiley & Sons, 2001.) to learn the prediction function. For this report, sensitivity and specificity are weighted equally. This is achieved by setting the risk associated with false positive and false negative classifications to be inversely proportional to the respective class sizes. Therefore sensitivity and specificity of the resulting classifier can be expected to be approximately equal. Note that this weighting can be adapted according to the clinical requirements.

Results

To determine sensitivity and specificity of said markers, 50 prostate cancer and 50 BPH samples were screened using the defined parameters. Samples had been pre-screened following a technical criterion of methylated DNA vs. unmethylated DNA. After ensuring they were specific for methylated DNA while not amplifying common unmethylated DNA, assays were run using MethyLight realtime PCR on a TaqMan platform (ABI7900). Final assay performance is outlined in Table 13. AUC and corresponding sensitivity and specificity values were calculated using the SVM algorithms.

TABLE 13

Genomic

SEQ

Gene name
ID NO:
AUC
Sensitivity
Specificity

PROSTAGLANDIN E2
20
0.921
0.829
0.871

RECEPTOR, EP4 SUBTYPE

HISTONE H4
36
0.918
0.88
0.719

PR-DOMAIN ZINC FINGER
51
0.871
0.768
0.822

PROTEIN 16

ORPHAN NUCLEAR
24
0.859
0.694
0.878

RECEPTOR NR5A2

LIM DOMAIN KINASE 1
31
0.868
0.791
0.755

Genomic region
11
0.842
0.815
0.704

LIM/HOMEOBOX PROTEIN
4
0.745
0.695
0.653

LHX9

Example 5

The objective of the following study was to analyze the methylation status of prostate cancer markers in different body fluid samples in order to identify the preferred choice of body fluid (urine or serum) for testing and the preferred marker, markers or combinations of markers. The study was run on matched serum and urine sediment samples from 80 patients with an average age of 65 and representative of a number of racial types (Caucasian, african american etc.). In each case, genomic DNA was analyzed using the HeavyMethyl or MSP technique after bisulfite conversion.

Urine Sediment was prepared for analysis and bisulphite treated according to the following:

- 200 ul sediment samples were purified using the Magnapure DNA Isolation Kit 1 with a 100 ul elution volume.
- 5 ul HD6 PCR was carried out on the Magnapure Eluate, in order to determine DNA concentration
- 100 ul of the DNA solution was treated using the bisulfite treatment technique
- 10 ul C3 bisulfite specific quantitative PCR
- 5 ul ‘Merck sulfite test’

Serum was prepared for analysis and bisulphite treated according to the following:

- 1 mL serum samples were purified using the Magnapure DNA Large Volume Total nucleic acid with a 100 ul elution volume.
- 5 ul HD6 PCR on Magnapure Eluate—To determine DNA concentration
- 100 ul of the DNA solution was treated using a proprietary bisulfite treatment technique
- 10 ul C3 bisulfite specific quantitative PCR
- 5 ul ‘Merck sulfite test’

HD6 is a genomic assay that amplifies non-bisulfite converted DNA. It is used to quantitate DNA after the initial extraction. It is specific for the beta-globulin gene.

C3 is a bisulfite specific assay located near exon 4 of the GSTP1 gene. It was used in a fashion similar to our HB14 assay which is also used to quantitate bisulfite converted DNA.

Both require the use of a standard curve and then location of amplification curves and corresponding concentration is used to give a quantitative value for DNA samples.

Single PCR runs were performed on 10 ul of bisulfite treated DNA per sample for each of the markers as described below.

Heavy Methyl Assay of the GSTP1 Gene

In the following analysis the methylation status of the gene GSTP1 was analysed by means of methylation specific amplification using the primers according to Table 1 (below).

The sequence of interest is amplified by means of methylation specific primers and a blocker oligonucleotide in order to minimise the unspecific amplification of non methylated DNA. The amplificate is then detected by means of methylation specific Lightcycler probes.

TABLE 14

Oligonucleotides for HeavyMethyl ™-

Lightcycler ™ analysis of GSTP1.

SEQ ID NO:
Sequence
Type

988
gggattatttttataaggtt
primer

989
ctctaaaccccatcccc
primer

990
cccatccccaaaaacacaaaccac
blocker

991
CGtCGtCGtAGTtTTCGtt-fluo
probe

992
red640-tAGTGAGTACGCGCGGtt-pho
probe

Reaction Conditions:
PCR Program

denat at 95° C.

95 ° C.
10 min

50 cycles:
ramp

denat at 95 ° C.
10 sec
(1° C./s)

annealing 56 C° C.
30 sec
(1° C./s) detection

extension 72° C.
10 sec
(1° C./s)

MSP Analysis of the Gene HISTONE H4.

In the following analysis the methylation status of the gene HISTONE H4 was analysed by means of methylation specific amplification using the primers according to Table 15 (below).

The sequence of interest is amplified by means of methylation specific primers, the amplificate is then detected by means of methylation specific Taqman probes

TABLE 15

Oligonucleotides for MSP - Taqman analysis of

HISTONE H4.

SEQ ID

NO:
Sequence
Type

993
accgaaaatacgcttcacg
primer

994
gcgttatcgtaaagtattgcgc
primer

995
/56-FAM/cgcgacgaacaaaacgccg/3BHQ_1/
probe

Reaction Conditions:
PCR Program

denat at 95° C.

95° C.
10 min

50 cycles:
ramp

denat at 95° C.
10 sec
(20° C./s)

annealing 60C° C.
45 sec
(20° C./s) detection

MSP Analysis of the Gene PROSTAGLANDIN E2 RECEPTOR.

In the following analysis the methylation status of the gene PROSTAGLANDIN E2 RECEPTOR was analysed by means of methylation specific amplification using the primers according to Table 16 (below).

The sequence of interest is amplified by means of methylation specific primers, the amplificate is then detected by means of methylation specific Taqman probes.

TABLE 16A

Oligonucleotides for MSP - Taqman analysis of

PROSTAGLANDIN E2 RECEPTOR

SEQ ID

NO:
Sequence
Type

996
cgcgctactccgcataca
primer

997
gaggtaatcgaggcggtcg
primer

998
/56-FAM/cgccaattcatacgccgcacc/3BHQ_1/
probe

PCR Program

denat at 95° C.

95° C.
10 min

50 cycles:
ramp

denat at 95° C.
10 sec
(20° C./s)

annealing 60C° C.
45 sec
(20° C./s) detection

MSP Analysis of the Gene ORPHAN NUCLEAR RECEPTOR NR5A2.

In the following analysis the methylation status of the gene ORPHAN NUCLEAR RECEPTOR NR5A2 was analysed by means of methylation specific amplification using the primers according to Table 16(below).

The sequence of interest is amplified by means of methylation specific primers, the amplificate is then detected by means of methylation specific Taqman probes.

TABLE 16B

Oligonucleotides for MSP - Taqman analysis of

ORPHAN NUCLEAR RECEPTOR NR5A2.

SEQ ID NO:
Sequence
Type

999
ttgtggttcgggaagagac
primer

1000
tcccgaactcttcgatcg
primer

1001
aactacgcgcaaacccgcga
probe

PCR Program

denat at 95° C.

95° C.
10 min

50 cycles:
ramp

denat at 95° C.
10 sec
(20° C./s)

annealing 60C° C.
45 sec
(20° C./s) detection

Marker Analysis

Results were analyzed qualitatively by scoring amplification as ± and quantitatively by determining the percentage of methylated DNA as a fraction of total DNA calculated using the C3 bisulfite specific PCR. To measure total methylated DNA, a 100% methylated standard (chemicon SSS1 treated DNA) standard curve was included in each assay.

Results

For each marker a Receiver Operating Characteristic curve (ROC curve) of the assay was determined. A ROC is a plot of the true positive rate against the false positive rate for the different possible cutpoints of a diagnostic test. It shows the tradeoff between sensitivity and specificity depending on the selected cutpoint (any increase in sensitivity will be accompanied by a decrease in specificity).The area under an ROC curve (AUC) is a measure for the accuracy of a diagnostic test (the larger the area the better, optimum is 1, a random test would have a ROC-curve lying on the diagonal with an area of 0.5; for reference: J. P. Egan. Signal Detection Theory and ROC Analysis, Academic Press, New York, 1975).

AUC Results:
Serum:
Marker: HeavyMethyl GSTP1

AUC: 0.51

Marker: MSP HISTONE H4

AUC: 0.59

Marker: MSP PROSTAGLANDIN E2 RECEPTOR

AUC: 0.52

Marker: MSP ORPHAN NUCLEAR RECEPTOR NR5A2

AUC: 0.50

Urine:
Marker: HeavyMethyl GSTP1

AUC: 0.58

Marker: MSP HISTONE H4

AUC: 0.5

Marker: MSP PROSTAGLANDIN E2 RECEPTOR

AUC: 0.49

Marker: MSP ORPHAN NUCLEAR RECEPTOR NR5A2

AUC: 0.56

To provide an accurate detection of prostate cancer it is preferred that a combined analysis of multiple markers is carried out (i.e. a gene panel). For analysis of urine based samples a preferred combination of markers is GSTP1 , PROSTAGLANDIN E2 RECEPTOR & ORPHAN NUCLEAR RECEPTOR NR5A2 with a sensitivity of 0.37 and a specificity of 0.72.

For analysis of serum based samples a most preferred combination of markers is GSTP1, HISTONE H4 & ORPHAN NUCLEAR RECEPTOR NR5A2 with a sensitivity of 0.35 and a specificity of 0.75.

MSP Analysis of the Genes According to Table 18.

In the following analysis the methylation status of a selection of the genes according to Table 18 were analysed by means of MSP TaqMan assays using the primers and probes according to Table 6 (below).

The study was run on 10 samples from prostate carcinoma tissue, 10 from benign prostate hyperplasia tissue and 5 normal tissue samples. Genomic DNA was analyzed using the MSP technique after bisulfite conversion. Total genomic DNA of all samples was bisulfite treated converting unmethylated cytosines to uracil. Methylated cytosines remained conserved. Bisulfite treatment was performed with minor modifications according to the protocol described in Olek et al. (1996).

The sequence of interest was then amplified by means of primers specific for bisulfite treated DNA and the amplificates were detected by means of TaqMan probes using TaqMan and/or Lightcycler platforms. Results are shown in Table 20 below.

Reagents and cycling conditions were as follows:

SEQ ID NO: 20

Final

Reagent
Conc.

Forward
0.5 uM

Primer

Reverse
0.5 uM

Primer

Probe
0.4 uM

MgCl
2.5 mM

FastStart
1x

Water
—

Template
—

Total
—

Temperature
Time
Rate

# of

(C.)
(sec)
(C/sec)
Collect?
Cycles

Denature

1

95
600
20

Annealing

50

95
10
20

60
45
20
single

Cool

1

40
30
20

SEQ ID NO: 36

MM Volume

Reagent
(uL)

Forward
35.0

Primer

Reverse
35.0

Primer

Probe
2.8

Water
32.2

Taqmix
245.0

Total
350.0

Temperature
Time
# of

(C.)
(sec)
Cycles

Denature

1

95
600

Annealing

50

95
10

60
45

SEQ ID NO: 31

Final

Reagent
Conc.

Forward
0.5 uM

Primer

Reverse
0.5 uM

Primer

Probe
0.4 uM

MgCl
2.5 mM

FastStart
1x

Water
—

Template
—

Total
—

Temperature
Time
Rate

# of

(C.)
(sec)
(C/sec)
Collect ?
Cycles

Denature

1

95
600
20

Annealing

50

95
10
20

60
45
20
single

Cool

1

40
30
20

SEQ ID NO: 11

MM Volume

Reagent
(uL)

Forward
35.0

Primer

Reverse
35.0

Primer

Probe
2.8

Water
32.2

Taqmix
245.0

Total
350.0

Temperature
Time
# of

(C.)
(sec)
Cycles

Denature

1

95
600

Annealing

50

95
10

60
45

TABLE 19

Forward

Genomic sequence
primer SEQ
Reverse primer
Probe SEQ ID

SEQ ID NO:
ID NO:
SEQ ID NO:
NO:

20
1002
1003
1004

36 (assay 4)
1005
1006
1007

36 (assay 1)
1008
1009
1010

31
1011
1012
1013

11
1014
1015
1016

TABLE 20

Genomic sequence

SEQ ID NO:
Sensitivity (%)
Specificity

20
70
88

36 (assay 1)
60
94

31
80
80

11
80
79

36 (assay 4)
60
98

Example 6
Introduction

The GSTPi gene is one of the best characterized methylation prostate diagnostic markers. The aim of the following investigation is to identify methylation markers prostate diagnostic which are able to identify prostate cancers which do not present aberrant GSTPi methylation. It is anticipated that said identified markers would be particularly useful as a member of a gene panel comprising GSTPi for the diagnosis and/or screening of prostate cancers.

Genome wide methylation analysis experiments were carried out to identify differentially methylated sequence candidates among sub-types of prostate cancers, which had different DNA methylation profiles for the GSTP1 gene. The genome wide methylation analysis methods AP-PCR and MCA were utilized in this study. Three comparisons were run using AP-PCR and two comparisons using MCA as described in the experimental plan.

Comparisons were carried out as the protocols as described in Example 1 above.

Experimental Plan
Four (4) Sample Pools were Used for this Study:

Pool
Sample

Short
Size per

Pool #
Sample Nature
Name
Pool
Comment

1
Prostate Cancer
GSTP1
12
used for APPCR

GSTP1 positive
(+)

and MCA

2
Prostate Cancer
GSTP1 (−)
2
used for APPCR

GSTP1 negative

and MCA

3
Prostate Cancer
GSTP1 (−)
4
used for MCA

GSTP1 negative

only

4
Prostate Cancer
GSTP1
2
used for APPCR

GSTP1 maybe
(?)

only

expressed

For AP-PCR, 3 sample pools (Pool #1, 2 & 4) were run together to allow a multi-way comparison. Three comparisons were made: GSTP1(+) vs. GSTP1(−), GSTP1(+) vs. GSTP1(?), and GSTP1(−) vs. GSTP1(?). On the same gel, differentially methylated bands migrating at the same speed were assumed to have the same sequences and were, therefore, only cloned and sequenced once. However, every differentially methylated band was assigned a unique MeST ID.

Two MCA comparisons were performed. Both used the GSTP1 (+) sample pool (Pool # 1) as the tester and GSTP1 (−) sample pool (Pool #2 or Pool #3) as driver.

Experimental Results Overview

96 non-redundant differentially methylated sequences were identified

39 out of the 96 was identified by AP-PCR

57 out of the 96 was identified by MCA

61 of the non-redundant differentially methylated sequences scored 0 or greater

None appeared using both methods

Scoring by Method:

Score

0
1
2
3
4
5

AP-PCR
0
9
10
10
3
2

MCA
2
13
9
1
1
1

Total
2
22
19
11
4
3

Interesting Candidate Differentially Methylated Sequences:

The 96 differentially methylated sequences were rated using the following parameters:

% repeat—percentage of repeat in 1000 bp flanking region on either 3′ or 5′ side of differentially methylated sequences;

- % CpG island—percentage of CpG island flanking either side of differentially methylated sequences;
- Within promoter—differentially methylated sequences is found within 5000 bp upstream of exon 1;
- Within gene—differentially methylated sequence is found anywhere between flanking exons

Of these SEQ ID Nos. 1017 to 1028 were selected for further analysis, of particular interest was SEQ ID NO: 1023. SEQ ID Nos. 1017 to 1028 were further investigated by means of sensitive assays according to Example 7 below.

Example 7
Introduction

In the following analysis the methylation status of the genes according to Table 21 were analysed by means of methylation specific polymerase chain reaction, using the method and samples as described in Example 4.

TABLE 21

Genomic SEQ
Forward Primer
Reverse Primer
Probe SEQ

ID NO:
SEQ ID NO:
SEQ ID NO:
ID NO:

1017
1077
1078
1079

1024
1080
1081
1082

1027
1083
1084
1085

1018
1086
1087
1088

1019
1089
1090
1091

1021
1092
1093
1094

1023
1095
1096
1097

1023
1098
1099
1100

1025
1101
1102
1103

1028
1104
1105
1106

1026
1107
1108
1109

1020
1110
1111
1112

1116
1113
1114
1115

18
1179
1180
1181

Results:

Statistical methods used are as described above in Example 4.

TABLE 24

Sensitivity and specificity of MSP assays

ROC
SVM
SVM
SVM

Gene
AUC
Acc
Sens
Spec

SEQ ID NO: 1023
0.953
0.898
0.888
0.908

RASSF1a.Nelson
0.903
0.828
0.800
0.857

SEQ ID NO: 1028
0.809
0.762
0.742
0.783

SEQ ID NO: 1113
0.629
0.561
0.527
0.597

SEQ ID NO: 1025
0.579
0.561
0.240
0.896

SEQ ID NO: 1020
0.561
0.567
0.599
0.534

SEQ ID NO: 1019
0.532
0.527
0.869
0.171

SEQ ID NO: 1027
0.512
0.499
0.895
0.088

SEQ ID NO: 18
0.533
0.491
0.803
0.167

Example 8
Panels

The best performing markers in terms of assay based performance as deduced from Examples 1 to 7 above are shown in Table 25.

In order to optimise the performance of markers in the detection of prostate cancer MSP assays of markers according to Examples 4 and 7 above were combined in gene panels of 2 and 3. Tables 22 to 24 below illustrate the sensitivity and specificity of said combinations of MSP assayed markers in the detection of prostate cancer.

TABLE 22

Sensitivity and specificity of Prostate cancer using MSP assays of 2

markers.

Marker 1
Marker 2
Sensitivity
Specificity

SEQ ID NO:
SEQ ID NO: 57
0.860
0.967

1023

SEQ ID NO:
SEQ ID NO: 20
0.864
0.948

1023

SEQ ID NO:
SEQ ID NO: 4
0.864
0.935

1023

SEQ ID NO:
SEQ ID NO:
0.860
0.938

1028
1023

SEQ ID NO:
SEQ ID NO:
0.860
0.938

1116
1023

SEQ ID NO:
SEQ ID NO:
0.860
0.938

1027
1023

SEQ ID NO:
SEQ ID NO:
0.860
0.938

1019
1023

SEQ ID NO:
SEQ ID NO:
0.860
0.938

1020
1023

SEQ ID NO:
SEQ ID NO:
0.860
0.938

1023
1025

SEQ ID NO:
SEQ ID NO: 11
0.860
0.938

1023

SEQ ID NO:
SEQ ID NO: 24
0.860
0.938

1023

SEQ ID NO:
SEQ ID NO: 18
0.860
0.938

1023

SEQ ID NO:
SEQ ID NO: 31
0.864
0.933

1023

SEQ ID NO:
SEQ ID NO: 35
0.880
0.917

1023

SEQ ID NO: 20
SEQ ID NO: 57
0.812
0.978

TABLE 23

Sensitivity and specificity of Prostate cancer using MSP

assays of 3 markers.

Marker 1
Marker 2
Marker 3
Sensitivity
Specificity

SEQ ID NO:
SEQ ID NO: 18
SEQ ID NO:
0.86
0.97916667

1023

57

SEQ ID NO:
SEQ ID NO: 4
SEQ ID NO:
0.86
0.97826087

1023

57

SEQ ID NO:
SEQ ID NO:
SEQ ID NO:
0.86
0.975

1116
1023
57

SEQ ID NO:
SEQ ID NO:
SEQ ID NO:
0.864
0.97083333

1020
1023
57

SEQ ID NO:
SEQ ID NO:
SEQ ID NO:
0.86
0.97083333

1028
1023
57

SEQ ID NO:
SEQ ID NO:
SEQ ID NO:
0.864
0.96666667

1027
1023
57

SEQ ID NO:
SEQ ID NO: 57
RASSF1a
0.86
0.97021277

1023

SEQ ID NO:
SEQ ID NO:
SEQ ID NO:
0.86
0.96666667

1019
1023
57

SEQ ID NO:
SEQ ID NO: 31
SEQ ID NO:
0.864
0.9625

1023

57

SEQ ID NO:
SEQ ID NO:
SEQ ID NO:
0.868
0.95652174

1019
1023
20

SEQ ID NO:
SEQ ID NO: 20
SEQ ID
0.88
0.94347826

1023

NO: 4

SEQ ID NO:
SEQ ID NO:
SEQ ID NO:
0.852
0.97083333

1023
1025
57

SEQ ID NO:
SEQ ID NO: 51
SEQ ID NO:
0.86
0.9625

1023

57

SEQ ID NO:
SEQ ID NO: 20
SEQ ID NO:
0.86
0.96086957

1023

57

SEQ ID NO:
SEQ ID NO:
SEQ ID NO:
0.868
0.95217391

1020
1023
20

Example 9

In order to provide an alternative assay format to the MSP assays as described above, further HeavyMethyl assays were established. The primers and blockers of said assays are shown in Table 24.

TABLE 24

HeavyMethyl Assay Components

Primer SEQ ID
Primer SEQ ID
Blocker
Probe SEQ
Probe SEQ

Marker
NO:
NO:
SEQ ID NO:
ID NO:
ID NO:

GSTP1 (assay
1121
1122
1123
1124
1125

1)

GSTP1 (assay
1126
1127
1128
1129
1130

2)

GSTP1 (assay
1131
1132
1133
1134
1135

3)

GSTP1 (assay
1136
1137
1138
1139
1140

4)

SEQ ID NO: 20
1141
1142
1143
1144
1145

(assay 1)

SEQ ID NO: 20
1146
1147
1148
1149
1150

(assay 2)

SEQ ID NO: 24
1151
1152
1153
1154
1155

(assay 1)

SEQ ID NO: 24
1156
1157
1158
1159
1160

(assay 2)

SEQ ID NO: 24
1161
1162
1163
1164
1165

(assay 3)

SEQ ID NO: 36
1166
1167
1168
1169
1170

(assay 1)

GSTP1 LightCycler Program:

activation:
95° C.
10 min

50 cycles:
95° C.
10 sec (20° C./s)

56° C.
30 sec (20° C./s)

72° C.
10 sec (20° C./s)
detection

melting curve:
95° C.
10 sec
20

40° C.
10 sec
20

70° C.
0 sec
0.1

cooling:
40° C.
5 sec

SEQ ID NO: 20, SEQ ID NO: 24 & SEQ ID NO: 36
LightCycler Program:

activation:
95° C.
10 min

55 cycles:
95° C.
10 sec (20° C./s)

56° C.
30 sec (20° C./s)

72° C.
10 sec (20° C./s)

melting
95° C.
10 sec
20

35° C.
20 sec
20 detection

95° C.
0 sec
0.1

TABLE 25

Marker
ROC AUC
AUC St Err
SVM Acc
SVM Sens
SVM Spec

SEQ ID NO: 1023
0.953
0.000
0.898
0.888
0.908

GSTP1
0.932
0.001
0.928
0.892
0.965

PROSTAGLANDIN E2 RECEPTOR
0.921
0.001
0.849
0.829
0.871

HISTONE H4
0.918
0.001
0.801
0.880
0.719

RASSF1A
0.903
0.001
0.828
0.800
0.857

PR-DOMAIN ZINC FINGER PROTEIN 16
0.871
0.001
0.794
0.768
0.822

LIM DOMAIN KINASE 1
0.868
0.001
0.773
0.791
0.755

ORPHAN NUCLEAR RECEPTOR NR5A2
0.859
0.001
0.784
0.694
0.878

SEQ ID NO: 11
0.842
0.002
0.761
0.815
0.704

SEQ ID NO: 1028
0.809
0.002
0.762
0.742
0.783

LIM/HOMEOBOX PROTEIN LHX9
0.745
0.003
0.675
0.695
0.653

SEQ ID NO: 1116
0.629
0.003
0.561
0.527
0.597

SEQ ID NO: 1025
0.579
0.001
0.561
0.240
0.896

SEQ ID NO: 1020
0.561
0.003
0.567
0.599
0.534

LYSOSOMAL-ASSOCIATED
0.533
0.004
0.491
0.803
0.167

MULTITRANSMEMBRANE PROTEIN

SEQ ID NO: 1019
0.532
0.004
0.527
0.869
0.171

SEQ ID NO: 1027
0.512
0.001
0.499
0.895
0.088

TABLE 26

Genes and sequences according to present invention

Antisense
Sense
Antisense

Sense methylated
methylated
unmethylated
unmethylated

Genomic SEQ ID
converted SEQ
converted SEQ
converted SEQ
converted SEQ

Gene ref seq ID:
NO:
ID NO:
ID NO:
ID NO:
ID NO:

genomic sequence
1
60
61
178
179

genomic sequence
2
62
63
180
181

genomic sequence
3
64
65
182
183

NM_014242
4
66
67
184
185

genomic sequence
5
68
69
186
187

genomic sequence
6
70
71
188
189

genomic sequence
7
72
73
190
191

NM_003352
8
74
75
192
193

NM_003458
9
76
77
194
195

genomic sequence
10
78
79
196
197

genomic sequence
11
80
81
198
199

genomic sequence
12
82
83
200
201

NM_013312
13
84
85
202
203

genomic sequence
14
86
87
204
205

genomic sequence
15
88
89
206
207

genomic sequence
16
90
91
208
209

genomic sequence
17
92
93
210
211

NM_006762
18
94
95
212
213

NM_005539
19
96
97
214
215

NM_000958
20
98
99
216
217

genomic sequence
21
100
101
218
219

genomic sequence
22
102
103
220
221

NM_004955
23
104
105
222
223

NM_003822
24
106
107
224
225

NM_032526
25
108
109
226
227

genomic sequence
26
110
111
228
229

genomic sequence
27
112
113
230
231

genomic sequence
28
114
115
232
233

NM_004565
29
116
117
234
235

NM_156037
30
118
119
236
237

NM_002314
31
120
121
238
239

NM_021642
32
122
123
240
241

NM_020132
33
124
125
242
243

NM_133267
34
126
127
244
245

genomic sequence
35
128
129
246
247

NM_003495
36
130
131
248
249

NM_004518
37
132
133
250
251

NM_003916
38
134
135
252
253

genomic sequence
39
136
137
254
255

genomic sequence
40
138
139
256
257

NM_002705
41
140
141
258
259

genomic sequence
42
142
143
260
261

genomic sequence
43
144
145
262
263

genomic sequence
44
146
147
264
265

genomic sequence
45
148
149
266
267

genomic sequence
46
150
151
268
269

genomic sequence
47
152
153
270
271

genomic sequence
48
154
155
272
273

genomic sequence
49
156
157
274
275

NM_030928
50
158
159
276
277

NM_022114
51
160
161
278
279

NM_002555
52
162
163
280
281

NM_000044
53
164
165
282
283

NM_004360
54
166
167
284
285

NM_000077
55
168
169
286
287

NM_000610
56
170
171
288
289

NM_000852
57
172
173
290
291

NM_000612
58
174
175
292
293

NM_080552
59
176
177
294
295

genomic sequence
1017
1029
1030
1053
1054

genomic sequence
1018
1031
1032
1055
1056

genomic sequence
1019
1032
1034
1057
1058

genomic sequence
1020
1033
1036
1059
1060

genomic sequence
1021
1034
1038
1061
1062

genomic sequence
1022
1035
1040
1063
1064

genomic sequence
1023
1036
1042
1065
1066

genomic sequence
1024
1037
1044
1067
1068

genomic sequence
1025
1038
1046
1069
1070

genomic sequence
1026
1039
1048
1071
1072

genomic sequence
1027
1040
1050
1073
1074

genomic sequence
1028
1041
1052
1075
1076

Genomic sequence
1116
1117
1118
1119
1120

AF102770
1171
1172
1173
1174
1175

Names of genes according to Table 26, wherein the table specifies “Genomic sequence” there is currently no gene mapped to the given sequence.

NM_—014242:LIM/HOMEOBOX PROTEIN LHX9
NM_—003352:UBIQUITIN-LIKE PROTEIN SMT3C PRECURSOR (UBIQUITIN-HOMOLOGY DOMAIN PROTEIN PIC1) (IBIQUITIN-LIKE PROTEIN UBL1)
(UBIQUITIN-RELATED PROTEIN SUMO-1) (GAP MODIFYING PROTEIN 1) (GMP1) (SENTRIN)
NM_—003458:“BASSOON; ZINC FINGER PROTEIN 231; NEURONAL DOUBLE ZINC FINGER PROTEIN”
NM_—013312:HOOK2 PROTEIN
NM_—006762:LYSOSOMAL-ASSOCIATED MULTITRANSMEMBRANE PROTEIN (RETINOIC ACID—INDUCIBLE E3 PROTEIN) (HA1520) LAM5
NM_—005539:““““TYPE I INOSITOL-1,4,5-TRISPHOSPHATE 5-PHOSPHATASE (EC 3.1.3.56) (5PTASE)”
NM_—000958:PROSTAGLANDIN E2 RECEPTOR, EP4 SUBTYPE (PROSTANOID EP4 RECEPTOR) (PGE RECEPTOR, EP4 SUBTYPE)
NM_—004955:EQUILIBRATIVE NUCLEOSIDE TRANSPORTER 1 (EQUILIBRATIVE NITROBENZYLMERCAPTOPURINE RIBOSIDE-SENSITIVE NUCLEOSIDE TRANSPORTER) (EQUILIBRATIVE NBMPR-SENSITIVE NUCLEOSIDE TRANSPORTER) (NUCLEOSIDE TRANSPORTER, ES-TYPE
NM_—003822:ORPHAN NUCLEAR RECEPTOR NR5A2 (ALPHA-1-FETOPROTEIN TRANSCRIPTION FACTOR) (HEPATOCYTIC TRANSCRIPTION FACTOR) (B1-BINDING FACTOR) (HBIF) (CYP7A PROMOTER BINDING FACTOR)
NM_—032526:PROTEIN-TYROSINE PHOSPHATASE X PRECURSOR (EC 3.1.3.48) (R-PTP-X) (ISLET CELL AUTOANTIGEN RELATED PROTEIN) (ICAAR) (IAR) (PHOGRIN)
NM_—004565:PEROXISOMAL MEMBRANE PROTEIN PEX14 (PEROXIN-14) (PEROXISOMAL MEMBRANE ANCHOR PROTEIN PEX14) (PTS1 RECEPTOR DOCKING PROTEIN)
NM_—156037:HOMEOBOX PROTEIN HOX-B6 (HOX-2B) (HOX-2.2)
NM_—002314:LIM DOMAIN KINASE 1 (EC 2.7.1.37) (LIMK-1)
NM_—021642:LOW AFFINITY IMMUNOGLOBULIN GAMMA FC REGION RECEPTOR II-A PRECURSOR (FC-GAMMA RII-A) (FCRII-A) (IGG FC RECEPTOR II-A) (FC-GAMMA-RIIA) (CD32) (CDW32)
NM_—020132:1-ACYL-SN-GLYCEROL-3-PHOSPHATE ACYLTRANSFERASE GAMMA (EC 2.3.1.51) (1-AGP ACYLTRANSFERASE 3) (1-AGPAT 3) (LYSOPHOSPHATIDIC ACID ACYLTRANSFERASE-GAMMA) (LPAAT-GAMMA) (1-ACYLGLYCEROL-3-PHOSPHATE O-ACYLTRANSFERASE 3)
NM_—133267:HOMEOBOX PROTEIN GSH-2
NM_—003495:HISTONE H4
NM_—004518:POTASSIUM VOLTAGE-GATED CHANNEL SUBFAMILY KQT MEMBER 2 (NEUROBLASTOMA-SPECIFIC POTASSIUM CHANNEL KQT-LIKE 2)
NM_—003916:ADAPTER-RELATED PROTEIN COMPLEX 1 SIGMA 1B SUBUNIT (SIGMA-ADAPTIN 1B) (ADAPTOR PROTEIN COMPLEX AP-1 SIGMA-1B SUBUNIT) (GOLGI ADAPTOR HA1/AP1 ADAPTIN SIGMA-1B SUBUNIT) (CLATHRIN ASSEMBLY PROTEIN COMPLEX 1 SIGMA-1B SMALL CHAIN) (SIGMA 1B SUBUNIT OF AP-1 CLATHRIN) (DC22)
NM_—002705:PERIPLAKIN (195 KDA CORNIFIED ENVELOPE PRECURSOR) (190 KDA PARANEOPLASTIC PEMPHIGUS ANTIGEN)
NM_—030928:“DNA REPLICATION FACTOR; DOUBLE PARKED, DROSOPHILA, HOMOLOG OF”
NM_—022114:PR-DOMAIN ZINC FINGER PROTEIN 16 (TRANSCRIPTION FACTOR MEL1)
NM_—002555:“TUMOR SUPPRESSING SUBTRANSFERABLE CANDIDATE 5; P45 BECKWITH-WIEDEMANN REGION 1A; BECKWITH-WIEDEMANN SYNDROME CHROMOSOME REGION 1, CANDIDATE A; EFFLUX TRANSPORTER-LIKE PROTEIN; ORGANIC CATION TRANSPORTER-LIKE 2; TUMOR-SUPPRESSING STF CDNA 5; IMPRINTED MULTI-MEMBRANE SPANNING POLYSPECIFIC TRANSPORTER-RELATED PROTEIN”
NM_—000044:AR
NM_—004360:CDH1
NM_—000077:CDKN2a
NM_—000610:CD44
NM_—000852:GSTP1
NM_—000612:IGF2
NM_—080552:VIAAT
0AF1 02770:RASSF1A

Number	Date	Country	Kind
03090414.8	Dec 2003	EP	regional
04090040.9	Feb 2004	EP	regional
04090187.8	May 2004	EP	regional
04090292.6	Jul 2004	EP	regional

Methods and Nucleic Acids for the Analysis of Gene Expression Associated with the Development of Prostate Cell Proliferative Disorders

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