Methods and reagents for the detection of melanoma

Information

  • Patent Application
  • 20070154889
  • Publication Number
    20070154889
  • Date Filed
    June 24, 2005
    19 years ago
  • Date Published
    July 05, 2007
    17 years ago
Abstract
An assay for identifying a malignant melanocyte is conducted by determining whether differential expression of particular genes is indicative of melanoma exceed a cut-off value. The assay can be performed intra-operatively on lymph node tissue.
Description
BACKGROUND OF THE INVENTION

Cutaneous malignant melanoma is a common, aggressive cancer with growing incidence. It is a serious healthcare problem with over 55,100 new cases anticipated in 2004 in US, and a mortality rate of about 14.5%. Cancer Facts and Figures 2003. American Cancer Society, 2003. The incidence of melanoma continues to rise faster than that of any other malignancy. De Braud et al. (2003). While prognosis of early local melanoma is favorable with 5-year overall survival over 90%, regional lymph node involvement decreases the overall survival rate to 10-46%. Balch et al. (2001). Therefore regional lymph node (LN) status becomes the most significant prognostic factor in a melanoma patient's survival. Introduction of the sentinel lymph nodes (SLN) technique (Morton (1992)) has increased the sensitivity of melanoma micrometastasis detection compared to H&E staining alone. Yu et al. (1999); and Messina et al. (1999). Nevertheless, even when enhanced by IHC, histological analysis is limited by the ability of light microscopy to recognize the tumor cells. Reverse transcription-polymerase chain reaction (RT-PCR) analysis has recently been proposed for a more sensitive detection of melanoma cells in LN. Many studies, when using well-characterized melanocyte specific markers, such as tyrosinase and MART-I, h custom character/e demonstrated the presence of these gene transcripts in LNs otherwise found to be negative by routine histology and IHC. Shivers et al. (1998); and Kuo et al. (2003). However, these genes are not specific to tumor cells and cannot be used to discriminate between benign and malignant tissue. hi fact, they caused false-positive results in the presence of benign capsular nevi. Takeuchi et al. (2004); Starz et al. (2003); and Gutzmer et al. (2002). Considering that benign nevi are not rare events in the melanoma SLN, the current RT-PCR assays are not useful clinically for diagnostic of melanoma micrometastasis. A recent study, proposed a multi-marker panel, including cancer specific markers for RT-PCR assay in order to increase assay specificity. Hoon et al. (2004). Identification of novel melanoma specific markers remains one of the key questions of melanoma research.


Certain proteins have been shown to be associated with melanoma and its metastases. These proteins or their activities have been used in IHC to identify metastases and include LlCAM (Thies et al. (2002); Fogel et al. (2003)); and S-100 (Diego et al. (2003)).


Nucleic acid tests have been proposed to increase the sensitivity of detection of metastatic melanoma. US Patent Publication Nos. 2002/01 10820; and 2003/0232356. Studies have used markers that include MAGE3, tyrosinase, MART-1, MITF-M or IL-I, R1, endothelin-2, ephrin-A5, IGF Binding protein 7, HLA-A0202 heavy chain, Activin A (βA subunit), TNF RII, SPC4, CNTF Ra, or gplOO (HMB45) genes. Bostick et al. (1999); Hoon et al. (2001); Palmieri et al. (2001); Wrightson et al. (2001); Gutzmer et al. (2002); Davids et al. (2003); Starz et al. (2003); Rimboldi et al. (2003); Cook et al (2003); Reintgen et al. (2004); US Patent Publication Nos. 2002/0098535; 2003/0049701; U.S. Pat. Nos. 5,512,437; 5,512,444; 5,612,201; 5,759,783; 5,844,075; 6,025,474; 6,057,105; 6,235,525; 6,291,430; 6,338,947; 6,369,211; 6,426,217; 6,475,727; 6,500,919; 6,527,560; 6,599,699; WO 96/29430. Where determined, these markers have not been found adequate for sole use in melanoma diagnosis. Riccioni et al. (2002); Gutzmer et al. (2002); Davids et al. (2003); Goydos et al. (2003); and Prichard et al. (2003).


A number of these markers have also been shown to be indicative of other neoplasias such as ME20M (GPlOO) for clear cell sarcoma, biliary tract carcinoma and gastric carcinoma. Hiraga et al. (1997); Okada et al. (2001); Okami et al. (2001); Antonescu et al. (2002); Segal et al. (2003). MAGE3 is also indicative of a number of neoplasias including breast, hepatocellular, renal, neural, lung and esophageal. Yamanaka et al. (1999); Ooka et al. (2000); Suzuki et al. (2000); Cheung et al. (2001); and Weiser et al. (2001). Several melanoma antigen-encoding genes are also expressed in lung cancer. Yoshimatsu et al. (1998).


These markers proved to be sensitive but non-specific since they showed positive expression in other cancers and benign melanocytes. Additionally, tyrosinase is expressed in Schwann cells which are present in normal lymph nodes. The lack of specificity alone calls for the development of assays with new or additional markers. H&E histology and IHC remain the “gold standard for the identification of melanoma and nevus cells in SLNs.” Starz et al. (2003). Detection issues in the intra-operative setting make this need even more acute.


Lymph node involvement is the strongest prognostic factor in many solid tumors, and detection of lymph node micrometastases is of great interest to pathologists and surgeons. Current lymph node evaluation involves microscopic examination of H&E-stained tissue sections and IHC and suffers from three major limitations: (a) small foci of cells, are easily missed; (b) the result is not rapidly available, meaning that any positive result in a SLN procedure requires a second surgery for removal of axcillary lymph nodes; and (c) only one or two tissue sections are studied, and thus the vast majority of each node is left unexamined. Serial sectioning can help overcome sampling error, and IHC can help identify small foci of cells; this combination, however, is costly and time consuming for routine analysis.


Surgical decisions of regional lymph node dissection can be based on intra-operative frozen section analysis of lymph nodes; however, the sensitivity of these methods is relatively poor, ranging from 50-70% relative to standard H&E pathology, leading to a high rate of second surgeries. Thus, pathologists are not routinely performing intra-operative frozen section analysis or touch print cytology analysis for melanoma patients. Improvements in the sensitivity and specificity of intra-operative assays for melanoma would significantly benefit oncology.


High-density microarrays have been applied to simultaneously monitor expression, in biological samples, of thousands of genes. Studies have resulted in the identification of genes differentially expressed in benign and malignant lesions, as well as genes that might be of prognostic value. Luo et al. (2001); and Wang et al. (2004). Gene expression profiling of malignant melanoma has been accomplished using a microarray containing probes for 8,150 cDNAs. Bittner et al. (2000). These researchers identified several genes that might be associated with aggressive tumor behavior. In recent work, comparison of gene expression profiles of a few melanoma and normal melanocyte cell lines led to the identification of differentially expressed genes and pathways modulated in melanoma. Takeuchi et al. (2004).


SUMMARY OF THE INVENTION

Gene expression profiling of an extensive set of clinically relevant tissue samples is provided in the present invention. Total RNA from forty-five primary malignant melanomas, 18 benign skin nevi and 7 normal skin tissues were hybridized on an Affymetrix HuI 33A microarray containing 22,000 probe sets. Differentially expressed genes in malignant melanoma as compared to benign tissue were identified. Pathway analysis of the differentially expressed genes revealed an over-representation of genes associated with neural tissue development and activation of amyloid processing signaling pathway. A one-step quantitative RT-PCR assay was used to test a combination of two melanoma specific genes, PLAB and LlCAM in a panel of clinically relevant samples that included primary malignant melanoma, benign nevi, melanoma LN metastasis and melanoma-free lymph node samples.


The present invention provides a method of identifying a melanoma by obtaining a tissue sample; and assaying and measuring the expression levels in the sample of genes encoding mRNA corresponding to prostate differentiation factor (PLAB, MICl) (SEQ ID NO: 1) and Ll cell adhesion molecule (LlCAM) (SEQ ID NO: 2); or PLAB, LlCAM and neurotrophic tyrosine kinase receptor, type 3 (NTRK3) (SEQ ID NO: 3) where the gene expression levels above pre-determined cut-off levels are indicative of the presence of a melanoma in the sample. The invention farther provides a method of identifying a melanoma by obtaining a tissue sample; and assaying and measuring the expression levels in the sample of genes encoding mRNA recognized by the primer/probe sets SEQ ID NOs: 4-6 or SEQ ID NOs: 7-9 and SEQ ID NOs: 10-12 or SEQ ID NOs: 13-15; or SEQ ID NOs: 4-6 or SEQ ID NOs: 7-9 and SEQ ID NOs: 10-12 or SEQ ID NOs: 13-15 and SEQ ID NOs: 16-18 where the gene expression levels above pre-determined cut-off levels are indicative of the presence of a melanoma in the sample.


The invention also provides a method of distinguishing a malignant melanocyte from a benign melanocyte by obtaining a tissue sample; and assaying and measuring the expression levels in the sample of genes encoding PLAB and LlCAM; or PLAB, LlCAM and NTRK3 where the gene expression levels above pre-determined cut-off levels are indicative of the presence of a melanoma in the sample.


The invention also provides a method of distinguishing a malignant melanocyte from a benign melanocyte by obtaining a tissue sample; and assaying and measuring the expression levels in the sample of genes recognized by the primer/probe sets SEQ ID NOs: 4-6 or SEQ ID NOs: 7-9 and SEQ ID NOs: 10-12 or SEQ ID NOs: 13-15; or SEQ ID NOs: 4-6 or SEQ ID NOs: 7-9 and SEQ ID NOs: 10-12 or SEQ ID NOs: 13-15 and SEQ ID NOs: 16-18 where the gene expression levels above pre-determined cut-off levels are indicative of the presence of a melanoma in the sample.


The invention further provides a method of determining patient treatment protocol by obtaining a tissue sample from the patient; and assaying and measuring the expression levels in the sample of genes encoding PLAB and LlCAM; or PLAB, LlCAM and NTRK3 where the gene expression levels above pre-determined cut-off levels are indicative of the presence of a melanoma in the sample.


The invention further provides a method of determining patient treatment protocol by obtaining a tissue sample from the patient; and assaying and measuring the expression levels in the sample of genes recognized by the primer/probe sets SEQ ID NOs: 4-6 or SEQ ID NOs: 7-9 and SEQ ID NOs: 10-12 or SEQ ID NOs: 13-15; or SEQ ID NOs: 4-6 or SEQ ID NOs: 7-9 and SEQ ID NOs: 10-12 or SEQ ID NOs: 13-15 and SEQ ID NOs: 16-18 where the gene expression levels above pre-determined cut-off levels are indicative of the presence of a melanoma in the sample.


The invention further provides additional Marker and control genes, the expression of which aid in the claimed methods. These additional genes include up-regulated SEQ ID NOs: 29-467 and down-regulated SEQ ID NOs: 468-978.


The primary Marker can be PLAB and is defined herein as the gene encoding any variant, allele etc. including SEQ ID NO: 1. PLAB is also described by Paralkar et al. (1998) and represented by Accession No. AF003934. PLAB is also defined as the gene encoding mRNA recognized by the primer/probe sets SEQ ID NOs: 4-9.


The secondary Marker can be LlCAM and is defined herein as the gene encoding any variant, allele etc. including SEQ ID NO: 2. LlCAM is also described by Haspel et al (2003); and U.S. Pat. No. 6,107,476 and is represented by Accession No. NM000425. LlCAM is also defined as the gene encoding mRNA recognized by the primer/probe sets SEQ ID NOs: 10-15.


The invention further provides a kit for conducting an assay to determine the presence of melanoma in a cell sample comprising: nucleic acid amplification and detection reagents.


The invention further provides primer/probe sets for amplification and detection of PCR products obtained in the inventive methods. These sets include the following:

SEQ ID NO:4 (PLAB forward primer)ggcagaatcttcgtccgcaSEQ ID NO:5 (PLAB reverse primer)ggacagtggtccccgttgSEQ ID NO.6 (PLAB probe)cccagctggagttgcacttgcggccSEQ ID NO:7 (PLAB upper primer)gaacaccgacctcgtcccSEQ ID NO:8 (PLAB lower primer)ggcggcccgagagataSEQ ID NO:9 (PLAB probe)cgccagaagtgcggctgggatttSEQ ID NO:10 (L1CAM forward)gctgggactgggaacagaactSEQ ID NO:11 (L1CAM Reverse)ggagcagagatggcaaagaaaSEQ ID NO:12 (L1CAM probe)ttccccaccatctgctgtSEQ ID NO:13 (L1CAM upper)ccacagatgacatcagcctcaaSEQ ID NO:14 (L1CAM lower)ggtcacacccagctcttccttSEQ ID NO:15 (L1CAM probe)tggcaagcccgaagtgcagttccttSEQ ID NO:16 (NTRK3 primer)gccccggcaccctttaSEQ ID NO:17 (NTRK3 primer)aaccctgccagtggtggatSEQ ID NO:18 (NTRK3 probe)cagatgggtgttttcSEQ ID NO:19 (Tyr upper)actcagcccagcatcattcttcSEQ ID NO:20 (Tyr lower)atggctgttgtactcctccaatcSEQ ID NO:21 (Tyr probe)cttctcctcttggcagattgtctgtagcttSEQ ID NO:22 (PBGD upper)ccacacacagcctactttccaaSEQ ID NO:23 (PBGD lower)tacccacgcgaatcactctcaSEQ ID NO:24 (PBGD probe)aacggcaatgcggctgcaacggcggaatt


The invention further provides amplicons obtained by PCR methods utilized in the inventive methods. These amplicons include the following:

SEQ ID NO:25 (PLAB Amplicon)gaacaccgacctcgtcccggcccctgcagtccggatactcacgccagaagtgcggctgggatccggcggccacctgcacctgcgtatctctcgggccgccSEQ ID NO:26 (L1CAM Amplicon)ccacagatgacatcagcctcaagtgtgaggccagtggcaagcccgaagtgcagttccgctggacgagggatggtgtccacttcaaacccaaggaagagctgggtgtgaccSEQ ID NO:27 (tyrosinase Amplicon)actcagcccagcatcattcttctcctcttggcagattgtctgtagccgattggaggagtacaacagccatSEQ ID NO:28 (PBGD Amplicon)ccacacacagcctactttccaagcggagccatgtctggtaacggcaatgcggctgcaacggcggaagaaaacagcccaaagatgagagtgattcgcgtgggta


Other genes described herein include up-regulated Markers (SEQ ID NOs: 29-467), down-regulated Markers (SEQ ID NOs: 468-978), PBGD (SEQ ID NO: 979), MARTl (SEQ ID NO: 980), ME20M (GPlOO; SEQ ID NO: 981) and MAGE-3 (SEQ ID NO: 982) and various primers and probes (SEQ ID NOs: 983-1011) used in detecting their expression.




BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1. Flowchart of data analysis.



FIG. 2. Hierarchical clustering on the 15,795 genes that have at least two “present” calls in all samples. Each column is a sample and each row is a gene. Red is up-regulation and green is down-regulation. Purple: melanoma samples; yellow: benign nevi; and blue: normal skin.



FIG. 3. Microarray expression (A) and real time RT-PCR validation data (B) of the selected genes. First fourteen samples from the left are the melanoma tissue samples (red); next seven are benign nevi samples (yellow) and last five are normal skin (blue). For microarray plots x-axis shows intensity values; for PCR plots, x-axis is 2ΔCT, where ΔCt is Ct (Target Gene)—Ct PBGD.



FIG. 4. Amyloid processing pathway. Adopted from Ingenuity™ Pathway Analysis Software Application. Genes up-regulated in melanoma are red and down-regulated in melanoma are green. Each gene symbol is followed by the fold-change of expression level between melanoma and benign/normal samples.



FIG. 5. One-step quantitative RT-PCR assay of PLAB and LlCAM (A) and conventional melanoma markers, gplOO, tyrosinase (SEQ ID NO: 999) and MARTl (B). For each plot x-axis represents score for the new markers or the conventional markers. Median scores for each samples category are labeled. Two cut-off levels based on normal (green) and benign (red) samples are labeled on each plot.




DETAILED DESCRIPTION

The present invention provides methods of qualitatively and quantitatively identifying a melanoma; distinguishing a malignant melanocyte from a benign melanocyte; diagnosing melanocytic lesions with uncertain pathological features; and determining a melanoma patient treatment protocol. The methods further provide aids in patient prognosis, patient monitoring and drug development. The methods rely on assaying and measuring expression levels of various Marker genes encoding mRNAs provided herein where gene expression over a pre-determined cut-off level is indicative of the presence of a malignant melanocyte in the sample assayed.


Cutaneous melanoma is a common, aggressive cancer with growing incidence. Identification of melanoma-specific deregulated genes could provide molecular markers for LN staging assays and further insight on melanoma tumorigenesis. Total RNA isolated from 45 primary melanoma, 18 benign skin nevi, and 7 normal skin tissue specimens were analyzed on an Affymetrix U133A microarray containing 22,000 probe sets. Hierarchical clustering revealed a distinct separation of the melanoma samples from benign and normal specimens. Novel genes associated with malignant melanoma were identified. Differential gene expression of two melanoma specific genes, PLAB and LlCAM, were tested by a one-step quantitative RT-PCR assay on primary malignant melanoma, benign nevi and normal skin samples and also on malignant melanoma LN metastasis and melanoma-free lymph nodes. The performance of the markers was compared to conventional melanoma markers such as tyrosinase, gplOO, and MARTl. The results demonstrated the ability of using a combination of PLAB and LlCAM in a RT-PCR assay to differentiate clinically relevant tissue samples containing benign or malignant melanocytes.


High-density cDNA and oligonucleotide microarrays allow simultaneous monitoring of the expression of thousands of genes. Microarray technology provides a quantitative measurement of mRNA abundance and has gained acceptance as a tool for marker discovery based on gene expression. In the context of cancer research, microarray analysis has identified genes differentially expressed in benign and malignant lesions, different cancer types or that have prognostic significance. Luo et al. (2001); Su et al. (2001); Henshall et al. (2003); and Wang et al. (2004). The first gene expression profiling of malignant melanoma used a microarray containing probes for 8,150 cDNAs and identified genes that might be associated with aggressive tumor behavior. Bittner et al. (2000). Since the samples analyzed in their study did not include tissues containing normal or benign melanocytes, differentially expressed genes in malignant melanoma were not identified. hi contrast to normal skin, melanocyte content in benign nevi is close to that in melanoma.


In another study, two pooled samples derived from either melanoma or benign nevi tissues were hybridized to a cDNA array and genes preferentially expressed in melanoma- or nevi-derived samples were found. Seykora et al. (2003). Other researchers used subtractive hybridization or analysis of SAGE libraries generated on melanoma cell lines, for monitoring gene expression in melanoma. Hipfel et al. (2000); and Weeraratna (2004). Recently, comparison of gene expression profiles of a few melanoma and melanocyte cell lines led to the identification of differentially expressed genes and pathways modulated in melanoma. Hoek et al. (2004). While these studies provide a solid foundation for melanoma genetics, there is no marker that can clearly differentiate melanoma from benign tissue. Several markers currently used such as tyrosinase and Mart-1 cannot discriminate between benign and malignant tissue. Takeuchi et al. (2004). Consequently, these markers have limited use in applications such as intra-operative, lymph-node-based staging of disease.


Difficulties in obtaining sufficient RNA samples from malignant melanoma and benign melanocyte lesions, tissue heterogeneity, and the presence of melanin in purified RNA remain the major challenges in these studies. In the study presented herein, total RNA isolated from 45 primary malignant melanomas, 18 benign skin nevi, and 7 normal skin tissues were hybridized on an Affymetrix HuI 33A microarray containing 22,000 probe sets. A modified RNA extraction method was developed to produce melanin-free RNA samples that increased the micorarray hybridization signals. Hierarchical clustering revealed distinct separation of the melanoma samples from benign and normal specimens. Significance Analysis of Microarray (SAM) method, t-test and percentile analysis identified 439 up-regulated (SEQ ID NOs: 29-467) and 511 down-regulated (SEQ ID NOs: 468-978) genes in the melanoma samples. Besides well-characterized genes such as me20m (gplOO), melanocortin receptor 1, and LlCAM, many novel genes previously unassociated with melanoma were identified including NTKR3 and PLAB. Pathway analysis of the differentially expressed genes revealed an over-representation of genes associated with neural tissue development and function, activation of amyloid processing and integrin signalling pathways. RT-PCR assays were performed to confirm the differential expression of the selected genes.


The methods provided have sufficient specificity and sensitivity to detect metastasis of melanoma. A comparison of the current methods available indicates that tradition methods of H&E and IHC are clinically acceptable whereas, prior to the current invention, PCR methods were unacceptable. Table 1 shows the drawbacks and advantages of current methods prior to the invention claimed herein.

TABLE 1MethodSensitivitySpecificityH&ELow100%IHCLow100%PCRHighLow


In the present invention, specificity is preferably at least 95%, more preferably, specificity is at least 97% and most preferably, specificity is at least 99% based on a comparison of H&E and IHC negative nodes. Preferably, sensitivity is at least at least 80%, more preferably sensitivity is at least 85% and most preferably, sensitivity is at least 90% based on a comparison of H&E and IHC positive nodes. Preferably, specificity and sensitivity are at least 97% based on a comparison of H&E and IHC negative nodes and at least 85% based on a comparison of H&E and IHC positive nodes, respectively.


Preferably, the pre-determined cut-off levels are at least two-fold over-expression in tissue having metastatic melanoma relative to benign melanocyte or normal tissue.


The preferred methods of the invention employ a rapid technique for extracting nucleic acids from a tissue sample and a method of amplifying and detecting nucleic acid fragments indicative of metastasis. The nucleic acid fragments qualitatively and quantitatively measure mRNA encoded by the Marker genes. Tissue samples include lymph node, both regional and sentinel, skin lesions and other biopsy material.


The methods provided herein allow for intra-operative detection of micrometastases allowing a physician to determine whether to excise additional lymph nodes and to immediately implement an appropriate treatment protocol. As shown in Table 2, if a LN is found to be positive for melanoma, regional LNs are excised and interferon therapy could be suggested. Standard biopsy methods can take over one week and a positive result requires additional surgery to remove LNs and there is a concomitant delay in interferon therapy.

TABLE 2Clinical Stage1° Tumor (T)LNMetastasisTreatmentStage IT1: ≦1 mmNegativeAbsentExcision 1 cmT2: 1.01-2.00 mmNegativeAbsentExcision 1-2 cmStage IIT3: 2.01-4.00 mmNegativeAbsentExcision 2 cmT4: >4.01 mmNegativeAbsentExcision 2 cmStage IIIAny thicknessPositiveAbsentExcision + complete LNdissection + interferonclinical trialStage IVAny thicknessPositivePresentInterferon clinical trial,symptomatic therapy


It is important to adequately sample the tissue used to conduct the assay. This includes proper excision and processing of the tissue sample as well as extraction of RNA. Once obtained, it is important to process the tissue samples properly so that any cancerous cells present are detected.


In the most preferred embodiment of the invention, node sampling is also given attention both intra- and extra-operatively. Since the distribution of cancer cells in nodes is non-uniform, it is preferable that multiple sections of the node be sampled. Every identified SLN should be submitted for pathological evaluation. SLN material is ordinarily be fixed in formalin and examined as formalin fixed, paraffin embedded tissue sample. Equally representative parts of SLN are processed for molecular analysis (fresh tissue) and histology (fixed tissue). General LN sampling procedures are described in Cochran et al. (2001); and Cochran et al. (2004). One method for accomplishing both a molecular based test and an examination of the same node sample by pathology is to bisect the node through the longest diameter. Each half is then divided into at least four full-faced sections with at least one outer and inner section for pathology as fixed material, and at least one outer and inner section for molecular testing. As the distribution of metastases and micrometastases is not uniform in nodes or other tissues, a sufficiently large sample should be obtained so that metastases will not be missed. One approach to this sampling issue in the present method is to homogenize a large tissue sample, and subsequently perform a dilution of the well-mixed homogenized sample to be used in subsequent molecular testing.


In the case of LN tissue samples, it is preferable to remove any adipose tissue prior to cellular disruption. Manual cell and tissue disruption can be by any means known in the art such as a disposable tissue grinder described in U.S. Pat. No. 4,715,545 or a commercial homogenizer such as Omni GLHl 15 with disposable probes (Omni International, Warrenton, Va.). Homogenization time is within 1 to 2 minutes and is more preferably 30-45 sec. The sample can then be processed to purify the RNA prior to assaying and measuring Marker expression levels. Suitable RNA purification methods include columns such as (e.g., RNeasy mini column, QIAshredder, QIAGEN Inc., Valencia, Calif., or a suitable substitute).


A variety of techniques are available for extracting nucleic acids from tissue samples. Typical commercially available nucleic acid extraction kits take at least 15 minutes to extract the nucleic acid. In the preferred intra-operative methods of the instant invention, nucleic acid is extracted in less than 8 minutes and preferably less than 6 minutes.


The successful isolation of intact RNA generally involves four steps: effective disruption of cells or tissue, denaturation of nucleoprotein complexes, inactivation of endogenous ribonuclease (RNase) and removal of contaminating DNA and protein. The disruptive and protective properties of guanidinium isothiocyanate (GITC) and β-mercaptoethanol (β-me) to inactivate the ribonucleases present in cell extracts make them preferred reagents for the first step. When used in conjunction with a surfactant such as sodium dodecylsulfate (SDS), disruption of nucleoprotein complexes is achieved allowing the RNA to be released into solution and isolated free of protein. Tissues are homogenized in the GITC-containing lysis buffer, addition of ethanol creates the appropriate conditions for RNA to bind to the silica membrane. Centrifugation can clear the lysate of precipitated proteins and cellular DNA and is preferably performed through a column. RNA purification is preferably conducted on a spin column containing silica or other material.


RNA is precipitated via the spin column as described above and centrifugation times are preferably no greater than 30 sec. Typically, the sample is diluted with an equal volume of 70% ethanol and thoroughly mixed prior to applying to the column. After washing, the column is dried by centrifugation, and RNA is eluted in RNase free water and collected by centrifugation. The total time of this rapid protocol is less than 8 minutes and preferably less than 6 min.


In summary the rapid RNA extraction method involves the following steps:

    • obtaining a tissue sample;
    • homogenizing the tissue to produce a homogenate;
    • contacting the homogenate with a substrate containing, or to which is affixed, an RNA-binding material;
    • allowing the RNA to bind to the RNA binding material;
    • washing the substrate under conditions sufficient to remove any contaminants, interferents and un-bound RNA; and
    • eluting bound RNA from the substrate.


The reagents involved in this rapid extraction process can be those provided by the manufacturer or can be, for instance:

    • Lysis/Binding buffer (preferably, 4.5M GITC, 10 OmM NaPO4),
    • Wash buffer I (preferably, 37% ethanol in 5M GITC, 2 OmM Tris-HCl),
    • Wash buffer II (preferably, 80% ethanol in 2 OmM NaCl, 2 mM Tris-HCl), and
    • Nuclease-free sterile double distilled water for elution.


In one method, prior to the process for isolating nucleic acids described above, tissue samples are weighed and put into 8 or 14 ml polypropylene culture tubes and pre-cooled on dry ice. The frozen tissue samples are then divided into pieces of about 50 mg or less without being thawed. All buffers are those provided by QIAGEN in the RNeasy mini kit. A volume of homogenization (lysis) buffer is added to the tissue based on Table 3.

TABLE 3Tissue Weight (mg)Homogenization buffer (ml)≦1002100-1492150-1993200-2494250-2995300-3496350-3997400-4498450-4009500-55010 >550*
* Tissue above 550 mg is divided into equivalent parts and processed as individual samples. An alternative method to calculate lysis buffer volume for tissues over 100 mg is to add 1 ml per 50 mg tissue; using 2 ml for tissues less than 100 mg.


The tissue sample is then homogenized for instance by the Omni GLHl 15 at a power setting to grade 6, Adaptor AlOOO and disposable probes. The homogenate is then mixed with an equal volume of 70% ethanol and thoroughly mixed for instance by vortexing on a VWR Model G560 set at 10 speed (maximum) about 10 seconds or by pipetting 4-5 times. The homogenate/ethanol mixture is then applied to an RNeasy mini column mounted on a vacuum manifold in a volume in accordance with Table 4 so that a consistent amount of the original tissue (approximately 5 mg/column) is loaded thus producing comparable RNA yields for each tissue sample.

TABLE 4Tissue weightVolume homogenate/ethanol(mg)mix (μl) (recommended)30-3970040-4950050-5940060-6935070-7930080-8925090-99225>100200


A vacuum is then applied to the column to remove the liquid. The vacuum is stopped and two washes of 700 ml are applied, first with RWI buffer and second with RPE buffer each removed by filtration. Vacuum is at 800-1200 mBar in each case. The column is then placed into a 1.5 ml collection tube and centrifuged in an Eppendorf 5415D centrifuge at 13,200 rpm for 30 seconds to dry. The column is transferred to a new 1.5 ml collection tube. Fifty μl RNase-free water is directly added to the membrane and the column is centrifuged in an Eppendorf 541 5D centrifuge for 30 seconds at 13,200 rpm to elute the RNA. The RNA quality is determined with an Agilent Bioanalyzer and the RNA is stored at −70° C.


Melanin can negatively impact the efficiency of reversed transcription and amplification reactions. Accordingly, a melanin removal process is undertaken when the sample is suspected of containing a significant amount of melanin (as in the case of samples of a primary melanoma or benign skin nevi) and is less of a concern when performing the assay on a SLN since melanocyte content is low. If necessary, melanin is removed to enhance reverse transcription and/or nucleic acid amplification.


Typically, melanin is removed during the filtration steps provided above. In the case of tissue with high melanin concentration, less tissue should be used, approximately 5 mg per Qiagen RNeasy mini column.


If another method is used that results in residual melanin in the sample, removal involves the use of a matrix employing a polymer bead system such as Bio-Gel P-60 (Bio-Rad Laboratories, Hercules, Calif.). Such a method is described by Satyamoorthy et al. (2002). Essentially, this method involves preparing a 50% (w/v) mixture of the Bio-Gel material in 10 mM sodium acetate (pH 4.2). About 300 μl of the mixture are placed in a micro-centrifuge tube and centrifuged at lOOOrpm for 1 min. The supernatant is discarded and the beads are placed in a mini-column or similar vessel. Homogenate is then passed through the vessel containing the beads (after first incubating them in the vessel). The supernatant is collected. Further washing of the beads with additional 100 μl aliquots of 10 mM sodium acetate can be used to capture additional volumes of melanin-free sample if necessary for adequate assay volume. The dark melanin will be clearly visible on the beads retained in the vessel. Other silica-based filters can also be used to remove the melanin pigment as described by Wang et al. (2001).


An important aspect of the intra-operative methods of the invention is rapid Marker detection. Provided that such methods can be conducted within a period acceptable for an intra-operative assay (i.e., no more than about 35 minutes), any reliable, sensitive, and specific method can be used.


In the case of measuring mRNA levels to determine gene expression, assays can be by any means known in the art and include methods such as PCR, Rolling Circle Amplification (RCA), Ligase Chain Reaction (LCR), Strand Displacement Amplification (SDA), Nucleic Acid Sequence Based Amplification (NASBA), and others. The rapid molecular diagnostics involved are most preferably quantitative PCR methods, including QRT-PCR. Detection can be by any method known in the art including microarrays, gene chips and fluorescence.


A typical PCR includes multiple amplification steps, or cycles that selectively amplify target nucleic acid species. A typical PCR includes three steps: a denaturing step in which a target nucleic acid is denatured; an annealing step in which a set of PCR primers (forward and backward primers) anneal to complementary DNA strands; and an elongation step in which a thermostable DNA polymerase elongates the primers. By repeating this step multiple times, a DNA fragment is amplified to produce an amplicon, corresponding to the target DNA sequence. Typical PCR includes 20 or more cycles of denaturation, annealing and elongation. Often, the annealing and elongation steps can be performed concurrently, in which case the cycle contains only two steps.


In the preferred inventive method, employing RT-PCR, the RT-PCR amplification reaction is conducted in a time suitable for intra-operative diagnosis, the lengths of each of these steps can be in the seconds range, rather than minutes. Specifically, with certain new thermal cyclers being capable of generating a thermal ramp rate of at least about 5 C° per second, RT-PCR amplifications in 30 minutes or less are used. More preferably, amplifications are conducted in less than 25 minutes. With this in mind, the following times provided for each step of the PCR cycle do not include ramp times. The denaturation step may be conducted for times of 10 seconds or less. In fact, some thermal cyclers have settings for “0 seconds” which may be the optimal duration of the denaturation step. That is, it is enough that the thermal cycler reaches the denaturation temperature. The annealing and elongation steps are most preferably less than 10 seconds each, and when conducted at the same temperature, the combination annealing/elongation step may be less than 10 seconds. Some homogeneous probe detection methods, may require a separate step for elongation to maximize rapid assay performance. In order to minimize both the total amplification time and the formation of non-specific side reactions, annealing temperatures are typically above 50° C. More preferably annealing temperatures are above 55° C.


A single combined reaction for RT-PCR, with no experimenter intervention, is desirable for several reasons: (1) decreased risk of experimenter error; (2) decreased risk of target or product contamination; and (3) increased assay speed. The reaction can consist of either one or two polymerases. In the case of two polymerases, one of these enzymes is typically an RNA-based DNA polymerase (reverse transcriptase) and one is a thermostable DNA-based DNA polymerase. To maximize assay performance, it is preferable to employ a form of “hot start” technology for both of these enzymatic functions. U.S. Pat. Nos. 5,411,876 and 5,985,619 provide examples of different “hot start” approaches. Preferred methods include the use of one or more thermoactivation methods that sequester one or more of the components required for efficient DNA polymerization. U.S. Pat. Nos. 5,550,044 and 5,413,924 describe methods for preparing reagents for use in such methods. U.S. Pat. No. 6,403,341 describes a sequestering approach that involves chemical alteration of one of the PCR reagent components. In the most preferred embodiment, both RNA- and DNA-dependent polymerase activities reside in a single enzyme. Other components that are required for efficient amplification include nucleoside triphosphates, divalent salts and buffer components. In some instances, non-specific nucleic acid and enzyme stabilizers may be beneficial.


In the preferred RT-PCR, the amounts of certain reverse transcriptase and the PCR components are atypical in order to take advantage of the faster ramp times of some thermal cyclers. Specifically, the primer concentrations are very high.


Typical gene-specific primer concentrations for reverse transcriptase reactions are less than about 20 nM. To achieve a rapid reverse transcriptase reaction on the order of one to two minutes, the reverse transcriptase primer concentration is raised to greater than 20 nM, preferably at least about 50 nM, and typically about 100 nM. Standard PCR primer concentrations range from 100 nM to 300 nM. Higher concentrations may be used in standard PCR to compensate for Tm variations. However, for the purposes herein, the referenced primer concentrations are for circumstances where no Tm compensation is needed. Proportionately higher concentrations of primers may be empirically determined and used if Tm compensation is necessary or desired. To achieve rapid PCR, the PCR primer concentrations typically are greater than 250 nM, preferably greater than about 300 nM and typically about 500 nM.


Commercially used diagnostics also preferably employ one or more internal positive control that confirms the operation of a particular amplification reaction in case of a negative result. Potential causes of false negative results that must be controlled in an RT-PCR include: inadequate RNA quantity, degradation of RNA, inhibition of RT and/or PCR and experimenter error.


In the case of measuring protein levels to determine gene expression, any method known in the art is suitable provided it results in adequate specificity and sensitivity. For example, protein levels can be measured by binding to an antibody or antibody fragment specific for the protein and measuring the amount of antibody-bound protein. Antibodies can be labeled by radioactive, fluorescent or other detectable reagents to facilitate detection. Methods of detection include, without limitation, enzyme-linked immunosorbent assay (ELISA) and immunoblot techniques.


The invention provides specificity and sensitivity sufficient to identify a malignant melanocyte in a tissue sample. The methods determine expression of particularly Marker genes by measuring mRNA encoded by the Markers. The preferred Markers of the invention display at least a two-fold over-expression in tissue having malignant melanocytes relative to benign melanocyte or normal tissue. The results presented herein show that a primary Marker is insufficient to provide clinically relevant information but, when combined with one or more secondary Markers, the information obtained compares to the “gold standard” of H&E and IHC upon which clinicians currently rely. Tertiary Markers and control genes can augment the primary and secondary Markers to further increase specificity and/or sensitivity.


As described in the following Examples, the Markers were identified by the protocol depicted in FIG. 1. Thus, the invention provides a method for identifying melanoma-specific Markers by following the protocol in FIG. 1 and the Examples provided herein.


The primary Marker can be PLAB and is defined herein as the gene encoding any variant, allele etc. including SEQ ID NO: 1. PLAB is also described by Paralkar et al. (1998) and represented by Accession No. AF003934. PLAB is linked to the pathogenesis of prostate cancer (Liu et al (2003); Karan et al. (2003); and Nakamura et al. (2003); U.S. Pat. Nos. 5,994,102; 6,107,476; 6,465,181; 6,500,638; 6,521,227; US Patent Publication Nos. 2002/0048784; 2003/0013097; and 2003/0059431) and colorectal cancer (Brown et al. (2003); Buckhaults et al. (2001); and US Patent Publication No. 2002/0160382).


The secondary Marker is LlCAM and is defined herein as the gene encoding any variant, allele etc. including SEQ ID NO: 2. LlCAM is also described by Haspel et al (2003); and U.S. Pat. Nos. 5,872,225; and 5,969,124 and is represented by Accession No. NM000425.


The invention further provides tertiary markers that fall into several functional categories. Thus, additional Markers can be used that are found in these functional categories. As described in more detail in the Examples, melanoma-specific up-regulated genes fall into the functional categories of neural tissue development and cell cycle control and melanoma-specific down-regulated genes fall into the functional categories of tissue development and cell differentiation.


The tertiary Markers include SEQ ID NOs: 3, 29-978 and 999. A number of tertiary markers are described in Table 5 and all are summarized in Table 15.


NTRK3 is described by Strausberg et al. (2002); Marchetti et al. (2003); Hisaoka et al. (2002); McGregor et al. (1999); Ryden et al. (1996); U.S. Pat. Nos. 5,348,856; 5,844,092; 5,910,574; and US Patent Publication Nos. 2002/0155480; and 2003/014283 and is represented by Accession No. BC013693 or S76476.1. NTRK3 is also defined as the gene encoding mRNA recognized by the primer/probe sets SEQ ID NOs: 16-18.


Tyrosinase is described by Mandelcorn-Monson et al. (2003); and U.S. Pat. No. 6,153,388 and is represented by Accession No. NM000372. Tyrosinase is also defined as the gene encoding mRNA recognized by the primer/probe sets SEQ ID NOs: 19-21.

TABLE 5GeneReferenceAccession #PBGDRaich et al. (1986)NM_000190CITED1Fenner et al. (1998)NM_004143PEX6Raas-Rothschild et al. (2002)NM_000287CAPGVan Impe et al. (2003)NM_001747DUSP4Smith et al. (1997)NM_001394GDF1Ducy et al. (2000)NM_001492E2-EpFLiu et al. (1992)NM_014501me20mMaresh et al. (1994)U01874CDH3Patel et al. (2003)NM_001793SMARCD3Ring et al. (1998)NM_003078PKM2Luftner et al. (2003)NM_002654GPITsutsumi et al. (2003)NM_000175Pig10Polyak et al. (1997)AF010413CPEB1Welk et al. (2001)NM_030594HOXHB9Catala et al. (2002)AI738662Truncated calciumThe Washington University-MerckN30649binding proteinEST Project Hillier et al. (1995)SAASKikuchi et al. (2003)NM_013271HS1-2Edgar et al. (2002)NM_007011HCN2Stieber et al. (2003)NM_001194MBPKamholz et al. (1996)M13577AD3LPAD5Li et al. (1995)U34349PLOD3Wang et al. (2002)NM_001084MC1RSalazar-Onfray et al. (2002)MIFShimizu et al. (1999)NM_002415HOXB7Care et al. (1996)NM_004502AIM1Ray et al. (1997)XM_166300EpHB6Hafner et al. (2003)NM_004445AKT1Majumder et al. (2004)NM_005163AKT2Gosmanov et al. (2004)NM_001626AKT3Xu et al. (2003)NM_005465APH-1AXu et al. (2003)NM_016022APPMasters et al. (1985)NM_201414BACEPastorino et al. (2004)NM_138973BACE2Pastorino et al. (2004)NM_012104CAPN1Altznauer et al. (2004)NM_005186CAPN2Alexa et al. (2004)NM_001748CDK5Qi et al. (2004)NM_004935CDK5R1Kam et al. (2004)NM_003885CSNK1A1Burzio et al. (2002)NM_001892CSNK1DLi et al. (2004)NM_139062CSNK1ESwiatek et al. (2004)NM_152221CSNK2A1Hilgard et al. (2004)NM_001895CSNK2A2Szebeni et al. (2003)NM_001896CSN2K2BLee et al. (2004)NM_001320GSK3BChen et al. (2003)NM_182946MAPK1Nishihara et al. (2004)NM_138957MAPK14Bendotti et al. (2004)NM_139014MAPK3Nishihara et al. (2004)NM_002746MAPTYu et al. (2004)NM_016841NCSTNShirotani et al. (2004)NM_015331PEN2Marlow et al. (2003)NM_172341PRKACASakwe et al. (2004)NM_207518PRKACBDwivedi et al. (2004)NM_002731PRKACGZhang et al. (2004)NM_002732PRKAR1AGronholm et al. (2003)NM_212472PRKAR2AMacDougall et al. (2003)NM_004157PRKAR2BDwivedi et al. (2004)NM_002736PRKCESchechtman et al. (2004)NM_005400PSEN1Pitsi et al. (2004)NM_000021PSEN2Zatti et al. (2004)NM_012486PSFLClark et al. (2003)NM_031301ABL1Gustafson et al. (2004)NM_007313ACK1Ahmed et al. (2004)NM_005781ACTN4Menez et al. (2004)NM_004924ARF1Kadaja et al. (2004)NM_001658ARPC1BKaneda et al. (2002)BCAR3Clark et al. (2003)NM_003567BRAFSasaki et al. (2004)NM_004333CDC42Chen et al. (2004)NM_044472CRKStoletov et al. (2004)NM_016823CRKLZhang et al. (2003)NM_005207DDEF1Oda et al. (2003)NM_018482DOCK1Grimsley et al. (2004)NM_001380FYNLee et al. (2004)NM_153048GIT1Haendeler et al. (2003)NM_014030GRB2Zhou et al. (2004)NM_203506GRF2Arozarena et al. (2004)NM_006909HRASNomura et al. (2004)NM_005343JUNSchmuth et al. (2004)NM_002228KRAS2Qi et al. (2004)NM_033360MAP2K1Rhee et al. (2004)NM_002755MAP2K2Chen et al. (2004)NM_030662MAP2K4Woo et al. (2004)NM_003010MAP3K11Zhang et al. (2004a)NM_002419MAPK8Fujii et al. (2004)NM_139049MYLKOury et al. (2004)NM_053032NRASReifenberger et al. (2004)NM_002524PAK1Sells et al. (1997)HSU24152PAK2Kirchhoff et al. (2004)NM_002577PAK3Kitano et al. (2003)NM_002578PAK4Barac et al. (2004)NM_005884PAK6Ching et al. (2003)NM_020168PAK7Jaffer et al. (2002)NM_020341PTK2Golubovskaya et al. (2004)NM_005607PXNSaito et al. (2004)NM_002859RAC1Pontow et al. (2004)NM_198829RAF1Akula et al. (2004)NM_002880RAP1ANomura et al. (2004)NM_002884RAP2BEvellin et al. (2002)NM_002886SHC1Yannoni et al. (2004)NM_183001SOS1Buchs et al. (2004)NM_005633SRCEncinas et al. (2004)NM_198291TLN1Tremuth et al. (2004)NM_006289VASPTokuo et al. (2004)NM_003370VCLIzard et al. (2004)NM_003373WASPIPLuthi et al. (2003)NM_003387ZYXLi et al. (2004)NM_003461


Tertiary Markers are able to replace and/or supplement primary or secondary Markers provided that the resulting assays have adequate sensitivity and specificity.


The specificity of any given amplification-based molecular diagnostic relies heavily, but not exclusively, on the identity of the primer sets. The primer sets are pairs of forward and reverse oligonucleotide primers that anneal to a target DNA sequence to permit amplification of the target sequence, thereby producing a target sequence-specific amplicon. The primers must be capable of amplifying Markers of the disease state of interest. In the case of the instant invention, these Markers are directed to melanoma.


The reaction must also contain some means of detection of a specific signal. This is preferably accomplished through the use of a reagent that detects a region of DNA sequence derived from polymerization of the target sequence of interest. Preferred reagents for detection give a measurable signal differential when bound to a specific nucleic acid sequence of interest. Often, these methods involve nucleic acid probes that give increased fluorescence when bound to the sequence of interest. Typically, the progress of the reactions of the inventive methods are monitored by analyzing the relative rates of amplicon production for each PCR primer set.


The invention further includes primer/probe sets and their use in the claimed methods. The sequences are:

SEQ ID NO:4 (PLAB forward primer)ggcagaatcttcgtccgcaSEQ ID NO:5 (PLAB reverse primer)ggacagtggtccccgttgSEQ ID NO.6 (PLAB probe)cccagctggagttgcacttgcggccSEQ ID NO:7 (PLAB upper primer)gaacaccgacctcgtcccSEQ ID NO:8 (PLAB lower primer)ggcggcccgagagataSEQ ID NO:9 (PLAB probe)cgccagaagtgcggctgggatttSEQ ID NO:10 (L1CAM forward)gctgggactgggaacagaactSEQ ID NO:11 (L1CAM Reverse)ggagcagagatggcaaagaaaSEQ ID NO:12 (L1CAM probe)ttccccaccatctgctgtSEQ ID NO:13 (L1CAM upper)ccacagatgacatcagcctcaaSEQ ID NO:14 (L1CAM lower)ggtcacacccagctcttccttSEQ ID NO:15 (L1CAM probe)tggcaagcccgaagtgcagttccttSEQ ID NO:16 (NTRK3 primer)gccccggcaccctttaSEQ ID NO:17 (NTRK3 primer)aaccctgccagtggtggatSEQ ID NO:18 (NTRK3 probe)cagatgggtgttttcSEQ ID NO:19 (Tyr upper)actcagcccagcatcattcttcSEQ ID NO:20 (Tyr lower)atggctgttgtactcctccaatcSEQ ID NO:21 (Tyr probe)cttctcctcttggcagattgtctgtagcttSEQ ID NO:22 (PBGD upper)ccacacacagcctactttccaaSEQ ID NO:23 (PBGD lower)tacccacgcgaatcactctcaSEQ ID NO:24 (PBGD probe)aacggcaatgcggctgcaacggcggaatt


Monitoring amplicon production may be achieved by a number of detection reagents and methods, including without limitation, fluorescent primers, and fluorogenic probes and fluorescent dyes that bind double-stranded DNA. Molecular beacons, Scorpions, and other detection schemes may also be used. A common method of monitoring a PCR employs a fluorescent hydrolysis probe assay. This method exploits the 5′ nuclease activity of certain thermostable DNA polymerases (such as Taq or TfI DNA polymerases) to cleave an oligomeric probe during the PCR process.


The invention further provides amplicons obtained by PCR methods utilized in the inventive methods. These amplicons include the following:

SEQ ID NO:25 (PLAB Amplicon)gaacaccgacctcgtcccggcccctgcagtccggatactcacgccagaagtgcggctgggatccggcggccacctgcacctgcgtatctctcgggccgccSEQ ID NO:26 (L1CAM Amplicon)ccacagatgacatcagcctcaagtgtgaggccagtggcaagcccgaagtgcagttccgctggacgagggatggtgtccacttcaaacccaaggaagagctgggtgtgaccSEQ ID NO:27 (tyrosinase Amplicon)actcagcccagcatcattcttctcctcttggcagattgtctgtagccgattggaggagtacaacagccatSEQ ID NO:28 (PBGD Amplicon)ccacacacagcctactttccaagcggagccatgtctggtaacggcaatgcggctgcaacggcggaagaaaacagcccaaagatgagagtgattcgcgtgggta


The oligomer is selected to anneal to the amplified target sequence under elongation conditions. The probe typically has a fluorescent reporter on its 5′ end and a fluorescent quencher of the reporter at the 3′ end. So long as the oligomer is intact, the fluorescent signal from the reporter is quenched. However, when the oligomer is digested during the elongation process, the fluorescent reporter is no longer in proximity to the quencher. The relative accumulation of free fluorescent reporter for a given amplicon may be compared to the accumulation of the same amplicons for a control sample and/or to that of a control gene, such as, without limitation, β-Actin or PBGD to determine the relative abundance of a given cDNA product of a given RNA in a RNA population. Products and reagents for the fluorescent hydrolysis probe assay are readily available commercially, for instance from Applied Biosystems.


Suitable detection reagents are commonly referred to as “Scorpions” and are described in U.S. Pat. Nos. 6,326,145 and 5,525,494. These reagents include one or more molecules comprising a tailed primer and an integrated signaling system. The primer has a template binding region and a tail comprising a linker and a target binding region. The target binding region in the tail hybridizes to complementary sequence in an extension product of the primer. This target specific hybridization event is coupled to a signaling system wherein hybridization leads to a detectable change. In PCR the target binding region and the tail region are advantageously arranged such that the tail region remains single stranded, i.e. uncopied. Thus the tail region is non-amplifiable in the PCR amplification products. The linker comprises a blocking moiety that prevents polymerase mediated chain extension on the primer template.


The most preferred detection reagents are TaqMan® probes (Roche Diagnostics, Branchburg, N.J.) and they are described in U.S. Pat. Nos. 5,210,015; 5,487,972; and 5,804,375. Essentially, these probes involve nucleic acid detection by virtue of the separation of a fluor-quencher combination on a probe through the 5′-3′ exonuclease activity of the polymerase used in the PCR. Any suitable fluorophore can be used for any of the Markers or controls. Such fluorophores include, without limitation, Texas Red, CaI Red, Fam, Cy3 and Cy5. In one embodiment, the following fluorophores correspond to the noted Markers: PLAB: Fam; LlCAM: Texas Red or CaI Red, tyrosinase: Cl; PBGD: Cy5.


Equipment and software also are readily available for controlling and monitoring amplicon accumulation in PCR and QRT-PCR including the Smart Cycler thermocylcer commercially available from Cepheid of Sunnyvale, Calif., and the ABI Prism 7700 Sequence Detection System, commercially available from Applied Biosystems.


In the case of gene expression assays, it is preferable to use a gene constitutively expressed in the tissue of interest. PBGD is commonly used as an internal control due to several factors: it contains no known pseudogenes in humans, it is constitutively expressed in human tissues and it is expressed at a relatively low level and therefore is less likely to cause inhibition of the amplification of target sequences of interest. Use of PBGD as a control minimizes or eliminates reporting erroneous results arising from all potential sources of false negative results.


In the commercialization of the described methods for QRT-PCR certain kits for detection of specific nucleic acids are particularly useful. In one embodiment, the kit includes reagents for amplifying and detecting Markers. Optionally, the kit includes sample preparation reagents and or articles (e.g., tubes) to extract nucleic acids from lymph node tissue. The kits may also include articles to minimize the risk of sample contamination (e.g., disposable scalpel and surface for lymph node dissection and preparation).


In a preferred kit, reagents necessary for the one-tube QRT-PCR process described above are included such as reverse transcriptase, a reverse transcriptase primer, a corresponding PCR primer set (preferably for Markers and controls), a thermostable DNA polymerase, such as Taq polymerase, and a suitable detection reagent(s), such as, without limitation, a scorpion probe, a probe for a fluorescent hydrolysis probe assay, a molecular beacon probe, a single dye primer or a fluorescent dye specific to double-stranded DNA, such as ethidium bromide. The primers are preferably in quantities that yield the high concentrations described above. Thermostable DNA polymerases are commonly and commercially available from a variety of manufacturers. Additional materials in the kit may include: suitable reaction tubes or vials, a barrier composition, typically a wax bead, optionally including magnesium; reaction mixtures (typically 1 OX) for the reverse transcriptase and the PCR stages, including necessary buffers and reagents such as dNTPs; nuclease-or RNase-free water; RNase inhibitor; control nucleic acid(s) and/or any additional buffers, compounds, co-factors, ionic constituents, proteins and enzymes, polymers, and the like that may be used in reverse transcriptase and/or PCR stages of QRT-PCR. Optionally, the kits include nucleic acid extraction reagents and materials. Instructions are also preferably included in the kits.


The following examples are provided to illustrate but not limit the claimed invention. AU references cited herein are hereby incorporated herein by reference.


EXAMPLE 1
Tissue Preparation

Fresh frozen malignant melanoma, benign skin nevi, normal skin, melanoma lymph node metastasis and melanoma-free lymph node samples were obtained from Genomics Collaborative, Inc. (Cambridge, Mass.), Asterand (Detroit, Mich.), Clinomics (Pittsfield, Mass.) and Proteogenex (Los Angeles, Calif.), Ardais (Lexington, Mass.) and Impath (Westborough, Mass.). All tissue vendors declared that tissue specimens used in the study were collected according to an Institutional Review Board approved protocol of corresponding hospitals and principles of bioethics. Patients' demographic and pathology information was also collected. The histopathological features of each sample were reviewed to confirm diagnosis, and to estimate sample preservation and tumor content.


Melanoma and benign nevi primary tissues chosen for microarray analysis had melanocyte content greater than 50% with no mixed histology. Melanoma positive lymph nodes were collected from malignant melanoma patients; diagnosis of melanoma was confirmed by H&E in combination with IHC (SlOO and HMB45). Melanoma free lymph nodes derived from patients that did not have melanoma in their clinical history and absence of melanoma was confirmed by H&E and IHC using antibodies for SlOO and HMB45.


RNA from a total of 70 primary tissue samples was used for gene expression profiling and melanoma specific gene identification. Samples included 45 primary malignant melanoma, 18 benign skin nevi, and 7 normal skin tissues. The majority of primary melanomas included in the study represent early stage of disease and have thickness less than 4 mm, which is consistent with the standard melanoma patient population. Aitken et al. (2004). Patient demographic, clinical and pathology characteristics are presented in Table 6 and summarized in Table 7.


In addition, 77 malignant melanoma LN metastasis and 18 melanoma-free LN tissue samples were used for one-step quantitative PCR assay. Melanoma positive lymph nodes included axillary, cervical and inguinal lymph nodes with metastasis derived from epithelioid and spindle cell primary melanomas. Out of 18 melanoma free LN, 10 were collected from other cancer patients but no cancer cells were found in these nodes by pathologists and 8 LN were from non-malignant lesions.

TABLE 6SampleTN&MClarkIDAgeGenderRaceDiagnosisLocationStageStagelevel430MMn/aFCaunormal skintrunk431MMn/aFCaunormal skintrunk432MMn/aFCaunormal skintrunk433MMn/aFCaunormal skintrunk435MMn/aFCaunormal skintrunk437MMn/aFCaunormal skintrunk485MM37MCaunormal skinskin, NOS487MM35FCauatypical nevus, mildface489MM56FCaucompound nevusface490MM16FCaucompound nevusscalp & neck491MM15MCaucompound nevustrunk493MM35FCaucompound nevustrunk495MM18FCaubenign nevus, NOStrunk496MM21FCauintradermal nevuslower limb & hip497MM12MCauintradermal nevuslower limb & hip498MM44FCaubenign nevus, NOStrunk499MM48FCaubenign nevus, NOSface500MM65MCauintradermal nevustrunk501MM30MCaucompound nevuslower limb & hip502MM20FCaucompound nevustrunk503MM35MCauintradermal nevuslower limb & hip504MM23MCaucompound nevustrunk507MM53MCauatypical nevus, moderatetrunk508MM28MCaucompound nevustrunk509MM43MCauintradermal nevustrunk392MM58FCauepithelioid melanomatrunkT3N0M04397MM51FCauepithelioid melanomalower limb & hipT2N0M03405MM46MCauepithelioid melanomaupper limb &T2N0M03shoulder407MM64FCauepithelioid melanomatrunkT1N0M02409MM54FCauepithelioid melanomascalp & neckT2N0M03440MM61MCaumalignant melanoma,lower limb & hipT1N0M02NOS441MM78MCauspindle cell melanomafaceT4N0M05442MM52MCaumalignant melanoma,upper limb &T2N0M03NOSshoulder443MM51FCauspindle cell melanomatrunkT2N0M03444MM49FCauspindle cell melanomalower limb & hipT3N0M04445MM76FCaumalignant melanoma,upper limb &T3N0M04NOSshoulder446MM86MCaumalignant melanoma,scalp & neckT1N0M02NOS447MM48MCauepithelioid melanomaskin, NOST3N0M04448MM72FCauepithelioid melanomaupper limb &T2N0M03shoulder449MM62MAsianepithelioid melanomalower limb & hipT3N1M0n/a450MM90FCauepithelioid melanomaupper limb &T4N1M1n/ashoulder452MM43MCauepithelioid melanomaskin, NOST3N0M0n/a453MM48FCauepithelioid melanomatrunkT3N0M0n/a454MM69MCauepithelioid melanomaupper limb &T3N0M0n/ashoulder455MM55MCaumalignant melanoma,skin, NOST2N0M0n/aNOS456MM63MCaumalignant melanoma,lower limb & hipT2N0M03NOS457MM69MCauspindle cell melanomatrunkT1N0M02459MM86FCaumalignant melanoma,lower limb & hipT2N0M03NOS460MM64MCaumalignant melanoma,upper limb &T3N0M04NOSshoulder461MM66MCauepithelioid melanomatrunkT1N0M02463MM58MCaumalignant melanoma,trunkT1N0M02NOS464MM53MCauepithelioid melanomafaceT2N0M03465MM77FCauepithelioid melanomaupper limb &T3N0M04shoulder466MM79FCaumalignant melanoma,upper limb &T1N0M02NOSshoulder468MM86FCauspindle cell melanomaupper limb &T2N0M03shoulder469MM43FCaumalignant melanoma,scalp & neckT1N0M02NOS470MM81MCaumalignant melanoma,upper limb &T2N0M03NOSshoulder472MM38FCauspindle cell melanomaupper limb &T1N0M02shoulder473MM69FCaumalignant melanoma,upper limb &T1N0M03NOSshoulder475MM77FCaumalignant melanoma,faceT3N0M04NOS476MM87FCauspindle cell melanomaupper limb &T3N0M04shoulder477MM82MCaumalignant melanoma,scalp & neckT2N0M03NOS478MM78FCauepithelioid melanomafaceT3N0M04480MM59MCaumalignant melanoma,upper limb &T2N0M03NOSshoulder481MM85MCaumalignant melanoma,upper limb &T3N0M04NOSshoulder482MM66MCauepithelioid melanomafaceT3N0M04483MM85FCauepithelioid melanomatrunkT4N0M05484MM70FCaumalignant melanoma,upper limb &T1N0M03NOSshoulder511MM69MCauepithelioid melanomaskin, NOST3N1M04512MM45MCauepithelioid melanomatrunkT4N0M03












TABLE 7











Normal


Characteristics
Melanoma (%)
Nevi (%)
skin (%)







Mean Age
65.51 ± 14.55
33.17 ± 15.60
n/a


Gender


Female
22 (48.9)
9 (50)
6


Male
23 (51.1)
0 (50)
1


Anatomical location


Face
 5 (11.1)
3 (17)


Scalp and neck
 4 (8.( )
1 (6) 


Trunk
 9 (20)
10 (55) 
6 (86)


Upper limb and shoulder
17 (37.8)


Lower limb and hip
 6 (13.3)
4 (22)


Skin, NOS
 4 (8.9)

1 (14)


Histological diagnosis


Epitheloid cell
20 (44.4)


Spindle cell
 7 (15.6)


Malignant melanoma NOS
18 (40)


Compound nevus

8 (44)


Intradermal nevus

5 (28)


Atypical nevus

2 (11)


Benign nevus, NOS

3 (17)


Normal skin


 7 (100)


T stage (thickness)


T1
11 (24.4)


T2
14 (31.1)


T3
16 (35.6)


T4
 4 (8.9)


N stage


N0
42 (93.3)


N1
 3 (6.7)


M stage


M0
44 (97.8)


M1
 1 (2.2)


Clark level


2
 9 (20)


3
16 (35/6)


4
12 (26.7)


5
 2 (4.4)


n/a
 6 (13.3)









EXAMPLE 2
RNA Isolation from Malignant Melanoma and Benign Skin Nevi Samples

Qiagen RNeasy™ Mini Kit (QIAGEN Inc., Valencia, Calif.) was used, with a 5 modified protocol to minimize the residual melanin in the RNA sample. For melanocyte containing tissues, four replicate tissue samples derived from individual patient each weighed approximately 5 mg and were used and processed separately. Tissue samples were homogenized in 1.0 ml RLT buffer (QIAGEN) containing 10 μl β-mercaptoethanol (Sigma Chemical Co., St. Louis, Mo.) by a mechanical homogenizer (UltraTurrex T8, IKA-Werke, Staufen, Germany). After homogenization, samples were loaded onto QIAGEN RNeasy™ columns and followed by centrifugation. After discarding the flow-through, 700 ml of RWl buffer was added; the column was kept for 5 min at room temperature and then centrifuged. This step was repeated 3 times. Then the standard QIAGEN RNeasy™ Mini Kit protocol was followed. To remove RNA from the silica gel membrane, a two-step elution was performed. The total RNA derived from the same individual patient tissue was pooled and used for further analysis.


Standard Trizol protocol was used for RNA isolation from tissues that do not contain a significant proportion of melanocytes. Tissue was homogenized in Trizol reagent (Invitrogen, Carlsbad, Calif.). After centrifugation the top liquid phase was collected and total RNA was precipitated with isopropyl alcohol at −20° C. RNA pellets were washed with 75% ethanol, resolved in water and stored at −80° C. until use. RNA quality was examined with an Agilent 2100 Bioanalyzer RNA 6000 Nano Assay (Agilent Technologies, Palo Alto, Calif.).


Labeled cRNA was prepared and hybridized with the high-density oligonucleotide array HuI 33A Gene Chip (Affymetrix, Santa Clara, Calif.) containing a total of 22,000 probe sets according to the standard manufacturer protocol. Arrays were scanned using Affymetrix protocols and scanners. For subsequent analysis, each probe set was considered as a separate gene. Expression values for each gene were calculated by using Affymetrix Gene Chip analysis software MAS 5.0. All chips met three quality control standards: “present” call was greater than 35%, scale factor was smaller than 12 when scaled to a target intensity of 600, and background level was less than 150. Lower than usual percent of “present” calls cut-off was chosen because it is difficult to isolate RNA from skin cells (Hipfel et al. (1998)) resulting in lower overall gene expression levels.


EXAMPLE 3
Data Analysis

Gene expression data were filtered to include only genes called “present” in 2 or more samples. This filter was used to remove genes that did not change expression in the samples. Of the 22,000 genes presented on the array, 15,795 passed this filter and were used for hierarchical clustering. Prior to clustering, each gene expression signal was divided by the median expression in al samples in the data set. This standardization step minimized the effect of the magnitude of gene expression and group together genes with similar expression patterns in the clustering analysis. Average linkage hierarchical clustering using Pearson correlation was performed on both the genes and the samples using GeneSpring 6.1.


In order to identify differentially expressed genes, we compared the melanoma samples to the benign nevi and the normal skin samples separately. The first analysis consisted of the 45 melanoma and 7 normal skin samples; the second analysis consisted of 45 melanoma and 18 nevi samples. These two datasets were analyzed separately in following procedures as shown in FIG. 1. Significance analysis of microarray (SAM; Tusher et al. (2001)) and Student T-test were used in gene selection. Parameters for SAM were set as Δ=2.5 and fold change=2.0 with 1,000 permutations. FDR was 1%. There were no missing data and the default random number was used. Next percentile analysis was conducted. For up-regulated genes the 30% ile in melanoma samples was compared to the maximum of the normal samples, or that of nevi samples. Student T-test with Bonferroni correction was also performed with cut-off p<0.05 in order to ensure that the selected genes had significant differential expression between the two groups of the samples. As a final step, we identified common genes between the melanoma/benign and melanoma/normal gene lists resulting in the single list of genes upregulated in melanoma shown in FIG. 1 where the 439 common genes correspond to SEQ ID NOs: 29-467 as described in Table 15 with the results shown in Table 8.

TABLE 8MedianExpression inFold ChangeFold ChangePSIDMelanoma(Cancer vs Benign)(Cancer vs skin)200078_s_at395423200601_at925427200612_s_at239625200644_at724036200660_at1465934200707_at3153251200736_s_at730533200737_at242322200783_s_at102822200825_s_at374633200827_at159322200837_at581725200838_at19225817200839_s_at2835357200859_x_at966537200910_at778024200950_at841937200954_at313226200966_x_at2738823200967_at615424200968_s_at558727200972_at894333201038_s_at148022201051_at543925201105_at3328545201106_at754624201188_s_at173028201189_s_at387033201195_s_at6005418201202_at186032201251_at23965511201252_at90123201271_s_at164825201291_s_at601342201313_at241456201346_at335922201393_s_at216625201416_at484544201417_at290524201470_at1852544201474_s_at2471522201485_s_at1398210201486_at110523201536_at244124201614_s_at65124201660_at471373201661_s_at333665201662_s_at269353201670_s_at3047212201714_at99323201765_s_at547545201792_at389734201804_x_at560933201819_at257553201850_at111031020201880_at183323201910_at385444201911_s_at215434201931_at257832201954_at25901915201976_s_at769726202069_s_at85523202070_s_at249045202111_at138039202154_x_at1026034202185_at849346202188_at126939202219_at563037202224_at265034202225_at153422202260_s_at787766202295_s_at1512964202329_at343844202367_at89822202370_s_at466932202478_at7922311202503_s_at242435202589_at349426202603_at377232202705_at105844202737_s_at286534202779_s_at3400955202785_at113426202862_at254064202898_at4736463202954_at135722202958_at240143202961_s_at1964845202986_at2052328203011_at134622203022_at106822203069_at5601513203071_at958193203094_at96822203145_at51322203167_at252335203217_s_at641635203234_at72533203256_at7799531203262_s_at248222203300_x_at5278316203315_at327322203366_at84722203396_at394623203452_at579412203456_at113223203502_at65733203518_at294337203554_x_at505634203557_s_at83922203570_at2553415203590_at309337203643_at138038203663_s_at972053203668_at196323203693_s_at58833203695_s_at154863203723_at408759203729_at9154214203730_s_at51733203731_s_at69132203775_at125143203827_at3380118203878_s_at203685204014_at71841046204015_s_at2207515204033_at215477204092_s_at66433204099_at249666204170_s_at136234204197_s_at288934204198_s_at402433204202_at87533204228_at129923204244_s_at53844204247_s_at689327204252_at529457204262_s_at100345204423_at68943204436_at311333204458_at90833204467_s_at191036204584_at96772115204585_s_at8051317204647_at169333204654_s_at3894425204709_s_at3122416204778_x_at53724204779_s_at164144204857_at27363297204932_at24133204973_at147837204995_at49646205051_s_at387543205142_x_at93723205169_at26727205373_at579108205376_at81523205405_at2302411205447_s_at567135205458_at328868205566_at268478205591_at119053205681_at1316812205690_s_at917989205691_at22675205717_x_at812733205813_s_at430119205937_at30175205945_at77224205996_s_at90923206128_at36433206307_s_at53484206332_s_at467122206397_x_at1436643206441_s_at3681631206462_s_at99535324206503_x_at41989206617_s_at898419206630_at23194346206688_s_at298932206696_at64467191206777_s_at68347206864_s_at42155206976_s_at337543207038_at1986947207060_at49745207144_s_at5931724207163_s_at3217310207183_at23066207592_s_at350514207614_s_at213926207622_s_at882216207828_s_at99733208002_s_at314237208089_s_at137436208308_s_at1228249208540_x_at525722208644_at224223208657_s_at154724208677_s_at5414314208696_at735143208710_s_at1112344208723_at440236208744_x_at1673449208837_at399723208916_at163035208928_at143947208956_x_at777232208974_x_at602526208975_s_at108523209015_s_at173944209036_s_at894433209053_s_at269710209072_at6299418209079_x_at1287033209081_s_at316032209123_at468643209132_s_at4385512209172_s_at26833209197_at82033209198_s_at49133209247_s_at148622209254_at138447209255_at428368209256_s_at494986209283_at1252953209345_s_at167822209407_s_at146126209515_s_at5827515209773_s_at124335209825_s_at76523209827_s_at488477209828_s_at114645209848_s_at32959774209875_s_at30382112209932_s_at712635210052_s_at108536210073_at33746210111_s_at784153210127_at39129210854_x_at210026210926_at57423210948_s_at39624210951_x_at2501213211013_x_at498813211052_s_at139932211066_x_at1243122211373_s_at206356211564_s_at199232211752_s_at218322211759_x_at567423211833_s_at502228212000_at339314212070_at1343724212081_x_at145724212119_at441525212178_s_at2976314212193_s_at3646310212247_at171633212285_s_at425224212312_at123442212338_at159834212402_at301934212472_at198755212473_s_at374754212512_s_at144132212520_s_at218824212552_at261122212715_s_at108534212739_s_at273623212744_at95935212745_s_at376215212793_at312345212796_s_at251122213002_at143923213007_at96834213008_at1086610213096_at92433213131_at139233213169_at402854213215_at192643213217_at5848106213241_at9479423213274_s_at182631226213275_x_at1760473213330_s_at123327213333_at184523213338_at93264213392_at102222213474_at72323213496_at232237213573_at164323213587_s_at10416189213638_at182726102213670_x_at195924213720_s_at224823213746_s_at4187314213836_s_at260585213895_at127934213960_at117688029214023_x_at160279214068_at2148910214104_at81423214201_x_at74623214581_x_at51056214614_at542109214632_at35822214656_x_at297722214687_x_at2631023214708_at24923214710_s_at57523214714_at236649214717_at47144214752_x_at646234214778_at311327214841_at913911214893_x_at214109214896_at3071811215025_at236514993215115_x_at124213415215126_at4940819215155_at50564215311_at100938630215812_s_at1176313215836_s_at940633216194_s_at501133216973_s_at173264217033_x_at109612119217104_at31763217226_s_at219133217297_s_at838321217377_x_at124022718217419_x_at274235217624_at3492120217799_x_at1724211217827_s_at476222217867_x_at902439217871_s_at19519311217891_at127123218009_s_at155743218030_at131623218074_at359424218143_s_at400735218151_x_at138422218152_at144023218161_s_at94155218175_at356332218330_s_at385374218349_s_at588314218359_at79635218376_s_at193144218447_at220923218542_at40936218564_at43324218608_at62734218678_at113561420218774_at106125218786_at73232218824_at135135218839_at1996387218856_at319954218888_s_at90665218931_at91132218952_at266177218956_s_at184043218980_at162738218996_at185946219011_at11343219039_at185225219040_at480310219041_s_at343542219051_x_at112738219066_at62142219143_s_at3618913219148_at42623219152_at3651310219219_at85923219361_s_at103337219372_at37622219408_at421336219478_at54858018219491_at547312219522_at82243219537_x_at41136219555_s_at4021221219578_s_at14191726219634_at686315219637_at35533219703_at37833219742_at40939219895_at52863219933_at139922220116_at74858220155_s_at501056220178_at5915915220454_s_at58122220864_s_at841633220948_s_at1179423220973_s_at49743220974_x_at254022220980_s_at359832221059_s_at243853221483_s_at919433221484_at383433221538_s_at397133221558_s_at235635221577_x_at48972838221641_s_at119924221688_s_at374024221710_x_at72822221732_at93132221759_at1261421221797_at43027221799_at160153221815_at329317144221882_s_at114456221902_at249144221909_at2432217221962_s_at113226222116_s_at420824222153_at44538222155_s_at1264310222175_s_at241536222196_at22436222199_s_at215223222206_s_at383412222212_s_at371534222231_s_at272432222234_s_at754412222240_s_at133133222294_s_at21933532811_at41942340560_at16293544783_s_at850314646665_at78354355093_at30324463825_at10096147487100_at737670


We selected a short list of genes with at least 10-fold over-expression in melanoma as compared to the benign specimens. The complete array dataset has been submitted to the NCBI/Genbank GEO database (series entry pending).


Hierarchical clustering revealed four distinct clusters (FIG. 2). Two clusters consisted of majority of the melanoma samples (43 out of 45); the third cluster included the majority of benign nevi samples (15 out of 18) and the fourth contained all 7 normal skin specimens. Melanoma samples themselves formed two clusters with 35 samples in one cluster and 10 samples in the other. Samples that formed the small cluster represented epithelioid melanoma only, visually contained less melanin and demonstrated higher expression of PRAME and MIA genes (p<0.05). The few stage III and IV tumors were all grouped in the small cluster. The large cluster showed higher expression of NTRK3 and nestin (NES) (p<0.05). All melanoma and benign nevi samples demonstrated equally high expression of known melanocyte markers such as tyrosinase and MART-I, confirming that there is comparable melanocyte content in these samples. Our data indicate that melanoma, benign nevi and normal skin samples have distinct gene expression profiles and can be separated on molecular basis. Selected genes that were highly expressed in melanoma and their associated functional categories are summarized in Table 9.

TABLE 9MedianMedianexpression inexpression inFoldpsidNamemelanomabenign/normalchangeNeural system development and function215025_atNTRK32365.119.9118.8204709_s_atKNSL5311.813.523.1204585_s_atL1CAM var 1805.24916.4218678_atNES11355.5703.616.1202260_s_atSTXBP17877.113126.0204995_atp35496.389.25.6208308_s_atGP112281.72238.25.5201340_s_atENC1390.874.95.2209072_atMBP6299.11215.95.2Cell movements214614_atHOXB9541.654.410.0205447_s_atMAP3K12566.576.57.4Tissue morphology206397_x_atGDF11436.1130.111.0205458_atMC1R3287.6458.17.2Cancer cell invasion213274_s_atCSTTB18262.91261.414.5208677_s_atBSG5413.810885.0Cell cycle control219578_s_atCPEB11418.575.618.8207144_s_atCITED1593.433.517.7204252_atCDK25293.7869.36.1211373_s_atPSEN22063.3403.25.1Cell death221577_x_atPLAB4896.9173.928.2205681_atBCL2A11316.4135.19.7Unknown204545_atPEX6379.123.915.9201850_atCAPG11103.2725.615.3204014_atDUSP47183.6601.311.9202779_s_atE2-EPF3400323.310.5201954_atARPC1B25900.7247010.5209848_s_atme20m32958.93778.48.7213112_s_atSQSTM1260.433.97.7218952_atSAAS2660.7368.77.2204099_atSMARCD32496.2428.25.8206999_atIL12RB235461.35.8201251_atPKM223964.74228.25.7202185_atPLOD38493.21541.75.5


EXAMPLE 4
Identification of Genes Differentially Expressed in Melanoma

A total of 70 gene expression profiles were used for analysis. The he median percentages of “present calls” for melanoma, benign and normal sample groups were 43.8%, 46.9% and 41.7%. Sixty microarrays (86%) had scaling factors within 3-fold range of the minimum value. Ten chips with the scaling factors more than 3 were equally distributed between the sample categories, melanoma, benign and normal.


Unsupervised hierarchical clustering result revealed a distinct separation of the melanoma, benign nevi and normal skin samples (FIG. 2). We observed four clusters, including two clusters consisting of majority of the melanoma samples (43 out of 45), the third cluster contained all 7 normal skin, 3 benign nevi and 2 melanoma specimens and the fourth cluster, that included 14 of the 18 benign nevi samples. Source of the samples did not affect clustering. Specimens originated from different sources were clustered together according the sample type (melanoma, benign or normal). To further test the stability of the clustering patterns, we used an alternative cut-off on gene filtering prior to the cluster analysis. Specifically, we retained genes that have at least 10% “present” calls in each of the melanoma, benign nevi and skin samples. With this cut-off, we obtained 15, 306 genes and repeated hierarchical clustering. The cluster pattern on the patient samples was the same as the one from the 15,795 from the 2 “present” calls, confirming clustering stability.


The single nevi sample that clustered with the melanoma samples is an atypical nevi (moderate degree) sample with no melanoma in-situ present. All three nevi samples that clustered with normal skin are compound nevi samples and one of them has melanocyte content lower than the other nevi specimens. The melanoma samples themselves formed two clusters with 34 samples in the large and 9 samples in the smaller cluster. Samples that formed the small cluster represented epithelioid melanoma only and visually contained less melanin. The few stage III and IV tumors, used in our study, were all grouped in the small cluster. The large cluster was composed from epithelioid, spindle cell and melanoma of mixed histology specimens with more significant presence of melanin. The large cluster included Stage I and Stage II specimens only.


Distinct gene clusters were found in association to melanoma. This can be characterized by up-regulated (FIG. 2, A, B, C) and down-regulated (FIG. 2, E) genes in the melanoma samples. At the same time, melanoma and benign nevi samples demonstrated high expression of known melanocyte markers, such as MART-I (FIG. 3, D) confirming a comparable content of melanocyte in these samples and inability of melanocyte specific markers to differentiate them. Our data indicate that melanoma, benign nevi and normal skin samples have distinct gene expression profiles and can be separated on their molecular basis.


In order to identify genes upregulated in malignant melanoma, we applied SAM in combination with t-test with Bonferroni correction and percentile analysis (FIG. 1). Bonferroni-adjusted t-test and percentile analyses were used to address the multiple testing issue and the heterogeneity of the tumor samples, respectively. As the result of these analyses, 439 genes were selected and are summarized in Table 15 as SEQ ID NOs: 29-467. Out of 439 genes up-regulated in melanoma, we selected a short list of 33 genes that had more than 10-fold over-expression in the melanoma samples than that of the benign specimens. These include many genes with known association with malignant melanoma such as NTRK3 (Xu et al. (2003)), LlCAM (Fogel et al. (2003); and Thies et al. (2002)), me20m (Adema et al. (1994)), as well as novel genes. Genes with more than 10-fold overexpression in melanoma are presented in Table 10.

TABLE 10MedianFold changeExp(Can vFold changePsidDescriptionMelanomaBenign)(Can v skin)215025_atNTRK3236514993215311_atEUROIMAGE10093863021920213960_atEUROIMAGE11768802951358219478_atWFDC154858018218839_atHEY11996387215115_x_atTEL oncogene124213415221577_x_atPLAB48972838217377_x_atETV6-NTRK3124022718fusion213638_atPHACTR1182726102204709_s_atKNSL53122416221909_atHyp protein2432217FLJ14627204584_atL1CAM96772115209875_s_atSPP130382112217624_atPDAP13492120203071_atSEMA3B958193213587_s_atC7ORF3210416189221815_atABHD2329317144219578_s_atCPEB114191726207144_s_atCITED15931724203069_atSV2A5601513218678_atNES113561420219152_atPODXL23651310205447_s_atMAP3L12567135213274_s_atCTSB182631226219555_s-atBMO394021221203827_atWIPI493380118205813_s_atMAT1A430119201850_atCAPG111031020205373_atCTNNA2579108214614_atHLXB9542109213217ADCY25848106204014_atDUSP471841046214893HCN2214109


We further selected three genes over-expressed in melanoma, including NTRK3, PLAB, LlCAM, for quantitative real-time RT-PCR validation of the microarray results (FIG. 3). PLAB is a novel gene, whose differential expression in melanoma was not reported before at our best knowledge. For LlCAM and NTRK3, differential expression in melanoma was demonstrated at protein level only. Xu et al. (2003); Fogel et al. (2003); and Thies et al. (2002). Moreover, we identified PLAB and LlCAM as the best combination, on complementary basis, to separate melanoma from benign/normal tissues in our study. GPlOO is known as a melanoma specific marker and was selected as positive control. For the RT-PCR assay we used a panel of 14 primary melanoma, 7 benign nevi and 5 normal skin samples, isolated from the same tissues as used for the microarray study. The expression value of each gene was normalized to the housekeeping control gene PBGD. The correlation coefficients between the RT-PCR and the microarray results for LlCAM, NTRK3, PLAB and gplOO are 0.79, 0.86, 0.87 and 0.88, respectively. This result indicates that the RT-PCR results are highly consistent with the microarray data.


EXAMPLE 5
Pathway Analysis of Differentially Expressed Genes

Functional analysis of genes differentially expressed in melanoma was performed using Ingenuity™ Pathway Analysis Software Application (Ingenuity, Mountain View, Calif.). Functional categories or canonical pathways that have p-value of less than 0.05 were selected. Specificity of canonical pathways identification was tested using randomly selected genes.


In order to gain further insight into a potential mechanism that differentiates melanoma from benign and normal tissue, we used Ingenuity pathway analysis software to identify canonical pathways associated with melanoma. The results analysis revealed that many of the genes in amyloid processing were up-regulated in the melanoma samples. To verify specificity of our observation, we selected three random lists of genes from Affymetrix HuI 33A microarray and subjected them to Ingenuity pathway analysis. None of these lists produced a significant association to amyloid processing or any other canonical pathways. To confirm the activation of this canonical pathway in melanoma, gene expression data for all the genes in the pathway were retrieved. Fold-change and p-value of differential expression between melanoma and benign/normal tissues were calculated. Out of the 34 genes included in the amyloid processing pathway (Esler et al. (2001); and Giancotti et al. (1999)), 25 demonstrated up-regulation trend and for 19 of them (56%), differential expression was statistically significant (p-value<0.05; FIG. 4). As the additional control, we randomly selected two metabolic pathways with a similar number of genes. Out of the 63 genes in alanine synthesis pathway, 8 of them (13%) showed significant up-regulation with p-value less than 0.05. Out of the 47 genes in histidine synthesis pathway, only 2 genes (4%) were found using the same criteria. For the first time, our data strongly indicated that activation of the amyloid processing pathway is involved in malignant melanoma.


EXAMPLE 6
RT-PCR Validation of Microarray Results

Ten microgram total RNA from each sample was treated with DNase I and reverse-transcribed with oligo (dT) primer using Superscript II reverse transcriptase according to the manufacturer's instructions (Invitrogen, Carlsbad, Calif.). A control gene PBGD was previously tested and reported as a housekeeping gene. Vandesompele et al. (2003). Primers and MGB-probes for me20m (gplOO), LlCAM, NTRK3, and the control gene PBGD were designed using Primer Express software (Applied Biosystems, Foster City, Calif.). The PLAB (MICl) gene probe was FAM-TAMRA based since sequences were inadequate to design MGB based probes. Primer/probe sequences were as follows:

TABLE 11SEQIDDescriptionSequenceNO:me20m forwardTGTGTCTCTGGCTGATACCAACA983me20m reverseTTCTTGACCAGGCATGATAAGCT984me20m probe(6-FAM) CTGGCAGTGGTCAGC985L1CAM forwardGCTGGGACTGGGAACAGAACT10L1CAM reverseGGAGCAGAGATGGCAAAGAAA11LICAM probe(6-FAM) TCCCCACCATCTGCTGT12NTRK3 forwardGCCCCGGCACCCTTTA16NTRK3 reverseAACCCTGCCAGTGGTGGAT17NTRK3 probe(6-FAM) CAGATGGGTGTTTTC18PLAB forwardGGCAGAATCTTCGTCCGCA4PLAB reverseGGACAGTGGTCCCCGTTG5PLAB probe(6-FAM) CCCAGCTGGAGTTGCACTTGCGGCC(TAMRA)6PBGD forwardCTGCTTCGCTGCATCGCTGAAA986PBGD reverseCAGACTCCTCCAGTCAGGTACA987PBGD probe(6-FAM) CCTGAGGCACCTGGAAGGAGGCTGCAGTGT(TAMRA)988


All primers and probes were tested for optimal amplification efficiency above 90%. The standard curve was composed of six 10-fold dilutions of target gene PCR product with copy numbers ranging from 10 to 106. RT-PCR amplification was carried out in a 20 μl reaction mix containing 50 ng template cDNA, 2× TaqMan® universal PCR master mix (12.5 μl) (Applied Biosystems, Foster City, Calif.), 50 OnM forward and reverse primers, and 25 OnM probe. Reactions were run on an ABI PRISM 7900HT Sequence Detection System (Applied Biosystems, Foster City, Calif.). The cycling conditions were: 2 min of AmpErase UNG activation at 50° C., 10 min of polymerase activation at 95° C. and 50 cycles at 95° C. for 15 sec and annealing temperature (60° C.) for 60 sec. In each assay, a standard curve and a no-template control along with template cDNA were included in duplicate for both the gene of interest and the control gene. The relative quantity of each target gene was represented as ΔCt, which is equal to Ct of the target gene subtracted by Ct of the control gene.


To confirm the melanoma specific genes identified by the microarray analysis, four genes (LlCAM, NTRK3, PLAB and gplOO) were selected for quantitative real-time RT-PCR validation (FIG. 4). The expression value of each gene was normalized to housekeeping control PBGD. The correlation coefficient between the RT-PCR and the microarray results for LlCAM, NTRK3, PLAB and gplOO are 0.79, 0.86, 0.87 and 0.88, respectively, indicating that the RT-PCR results are highly consistent with the microarray data.


EXAMPLE 7
One-Step qRTPCR Assays Using RNA-Specific Primers and Cutoff Establishment

Evaluation of expression of selected genes was carried out with one-step RT-PCR with RNA from primary melanoma, benign nevi, normal skin, melanoma IN metastasis and melanoma-free lymph nodes. Beta-actin was used as a housekeeping gene to control for the input quantity and quality of RNA in the reactions. DNase treatment was not used. Instead, primers or probes were designed to span an intron so they would not report on genomic DNA. Eight ng of total RNA was used for the RT-PCR. The Total RNA was reverse transcribed using 40× Multiscribe and RNase inhibitor mix contained in the TaqMan® One Step PCR Master Mix Reagents Kit (Applied Biosystems, Foster City, Calif.). The cDNA was then subjected to the 2× Master Mix without UNG and PCR amplification was carried out on the ABI 7900HT Sequence Detection System (Applied Biosystems, Foster City, Calif.) in the 384-well block format using a 10 μl reaction size. The primer and probe concentrations were 4 μM and 2.5 μM, respectively. The reaction mixture was incubated at 48° C. for 30 min for the reverse transcription, followed by a Amplitaq activation step of 95° C. for 10 min and finally 40 cycles of 95° C. for 15 sec denaturing and 60° C. for 1 min anneal and extension. On each plate a standard curve is generated from 8 pg to 80 ng and when the R2 value was greater than 0.99 the Cycle Threshold (Ct) values were accepted.


Sequences used in the reactions were as follows, each written in the 5′ to 3′ direction.

TABLE 12SEQIDDescriptionSequenceNO:L1CAM ForwardCCACAGATGACATCAGCCTCAA13L1CAM ReverseGGTCACACCCAGCTCTTCCTT14L1CAM probeTGGCAAGCCCGAAGTGCAGTTCC15TyrosinaseCTTTAGAAATACACTGGAAGGATTTGCTA1000ForwardTyrosinaseCATTGTGCATGCTGCTTTGA1001ReverseTyrosinase probeTCCACTTACTGGGATAGCGGATGCCTC1002MART1 ForwardACTTCATCTATGGTTACCCCAAGAA1003MART1 ReverseTCCCAGCGGCCTCTTCA1004MART1 ProbeCACGGCCACTCTTACACCACGGC1005HMB45 ForwardCTTAAGGCTGGTGAAGAGACAAGTC1006gp100 ReverseCAGGATCTCGGCACTTTCAATAC1007gp100 ProbeTCGATATGGTTCCTTTTCCGTCACCCTG1008PLAB ForwardATTCGAACACCGACCTCGTC1009PLAB ReverseCGCAGGTGCAGGTGGC1010PLAB ProbeGATACTCACGCCAGAAGTGCGGCT1011


For each sample ΔCt=Ct (Target Gene)—Ct β-actin was calculated. ΔCt has been widely used in clinical RT-PCR assays and was chosen as a straightforward method. Cronin et al. (2004). T-test was performed on ΔCt between the melanoma and non-melanoma samples including both primary and LN samples. We then used ΔCt to construct two scores for each patient. One score was derived from a combination of 2 melanoma specific genes, PLAB and LlCAM; and the other score was derived from a combination of 3 conventional melanoma markers, tyrosinase, gplOO and MARTl. The score was defined as the weighted sum of ΔCt values of the tested genes with the corresponding t statistics as the weight. The two scores were normalized to have the same mean in order to compare them on the same scale.


We examined a combination of two highly overexpressed in melanoma genes, PLAB and LlCAM, in a variety of clinical tissue samples containing malignant melanocytes (primary melanoma and melanoma LN metastasis), benign melanocytes (benign skin nevi) and normal samples (normal skin and melanoma-free LN) by RT-PCR. The primary tissues were the same as those used for the microarray study while all the LN specimens were derived from independent patients. Conventional melanoma markers, such as tyrosinase, gplOO and MARTI, were also tested on the same samples as the controls because they are the most commonly used markers for the melanoma molecular assays in current clinical studies. Rimboldi et al. (2003); Abrahamsen et al. (2005); and Kammula et al. (2004). Calculated scores were presented on FIG. 4A for PLAB and LlCAM and on FIG. 4B for tyrosinase, gplOO and MARTl. The results demonstrated significant difference in expression of PLAB and LlCAM between malignant melanoma samples (primary and LN metastasis) and benign nevi and normal LN. In contrast, three conventional markers showed similar expression levels in benign and melanoma samples. To further demonstrate the ability of gene markers to separate benign and malignant tissues, we tested two cut-offs; first was set up as the highest score in primary normal samples and the second as the highest score in benign nevi samples. For each cut-off we estimated sensitivity and of the assay in the LN samples. With the cut-off determined on the normal samples, the new markers and the conventional markers gave sensitivity of 90% and 83%, respectively. Using the cut-off determined on the benign samples, the sensitivity for the new and conventional markers were 88% and 42%. The results indicated that the new markers potentially have better abilities to differentiate tissues containing benign and malignant melanocytes.


EXAMPLE 8
Multiplex Assay

Materials and Methods


Each reaction was set up in a final volume of 25 μl containing the following:

forward primer40O nMreverse primer50O nMPLAB probe15O nMTyrosinase probe30O nML1CAM probe20O nMPBGD probe20O nMTth5 UAb TP 6-25i μgGlycerol10%Tris-HCl3J mMNaCl4 mMEDTA0.004 mMTween-200.22%NP-400.02%DTT0.04 mMPotassium Hydroxide20.5 mMBicine5O mMPotassium Acetate115 mMAlbumin, bovine5 μgTrehalose0.15 MdNTP0.2 mM eaMgCl20.5 mMMnSO43.5 mMPrimers300 nM eaProbes200 nM ea


The primer and probe sequences are provided in Table 13.

TABLE 13SEQID NOSequence 5′-3′Function43gaacaccgacctcgtcccPLAB Upper Primer44ggcggcccgagagataPLAB Lower Primer45Fam-cgccagaagtgcggctgggat-BHQ1-ttPLAB Probe55actcagcccagcatcattcttcTyr Upper Primer56atggctgttgtactcctccaatcTyr Lower Primer57Q570-cttctcctcttggcagattgtctgtagc BHQ2-ttTyr Probe49ccacagatgacatcagcctcaaL1CAM Upper Primer50ggtcacacccagctcttccttL1CAM Lower Primer51Ca1Red-tggcaagcccgaagtgcagttcc-BHQ2-ttL1CAM Probe58ccacacacagcctactttccaaPBGD Upper Primer59tacccacgcgaatcactctcaPBGD Lower Primer60Q670-aacggcaatgcggctgcaacggcggaa-BHQ2-ttPBGD Probe


The reactions are run with PLAB in Fam, Tyrosinase in Cy3, LlCAM in Texas Red, and PBGD in Cy5 channels. The cycling protocol used is described below and takes 30 min to complete.

  • 95° C.×15 sec
  • 65° C.×420 sec
  • 40° cycles of:
  • 95° C. for 5 sec
  • 62° C. for 15 sec—fiuor read


The thresholds used are 30 in Fam, 20 in Cy3, 20 in Texas Red, and 20 in Cy5 channels. The thresholds employed in the Cy3 and Texas red channels can be lowered. The results obtained are summarized in Table 14.

TABLE 14Best Marker Combinations% SensitivityMarkers(95% CI)% Specificity (95% CI)L1CAM + PLAB82 (73-89)96 (87-100)Tyrosinase + ME20M (GP100)63 (52-72)100 (94-100) L1CAM + PLAB + Tyrosinase87 (79-93)96 (87-100)


Ct Cutoffs:

L1CAM27PLAB29Tyrosinase23ME20M (GP1OO)23.5


Note: these data are benchmarked against H&E pathology only. The amplification efficiency in each of the 4 reactions is high and the reaction is also linear over 5 logs (as judged by the R2 value which is >0.99 in all cases). Therefore, these data demonstrate a working 4 plex, rapid assay. These data suggest that PLAB is the primary marker and complementation, achieved with LlCAM, further increases sensitivity. If required, addition of tyrosinase as a third marker further complements LlCAM and PLAB and increases sensitivity. Tyrosinase can be dropped from the assay, if needed, without affecting the performance of the remaining markers.


Discussion


We performed gene expression profiling analysis of primary melanoma, benign nevi and normal skin tissue specimens in order to find melanoma specific gene markers for potential use in the LN molecular staging assay. Novel genes that are highly and differentially expressed in malignant melanoma samples were identified. Inclusion of benign nevi in the experimental design was key to our study. In contrast to normal skin, melanocyte content in benign nevi is close to that in melanoma. This was confirmed, in addition to histological assessment, by equally high expression level of conventional melanoma markers such as tyrosinase and MARTl in both melanoma and nevi tissue specimens. Similar cellular composition allowed us to monitor gene expression changes specifically associated with melanocyte malignant transformation, not just with melanocyte lineage differentiation. As the result, we identified novel genes specifically overexpressed in melanoma. One of the novel highly overexpressed in melanoma genes, prostate differentiation factor (PLAB, MICl), is a member of transforming growth factor-beta superfamily and also known to be associated with other malignancies. Bae et al. (2003); and Welsh et al. (2003). PLAB reduces cell adhesion (Yamauchi et al. (2003)), implicating its potential role in melanoma progression. Pathway analysis of the overexpressed genes in melanoma indicated that many of these genes belong to neural tissue functioning and development, suggesting that dedifferentiation of melanocytes and activation of the processes related to a pluripotent progenitor cell might be important for melanoma development and progression. Moreover, the analysis of canonical pathways showed that neural tissue associated amyloid processing is significantly modulated in melanoma. Amyloid processing (APP) pathway itself has not been associated with melanoma development and progression before. Many genes in the APP pathway, such as members of the β- and Y-secretase family (BACE2, PSEN2) also participate in the Notch pathway and play a role of cleavage of integral membrane proteins in both Notch and APP. Esler et al. (2001). Notch suppresses differentiation and helps maintain neural crest stem cells in undifferentiated state (Gangemi et al. (2004)) and Notch's involvement in melanoma and, particularly, the role of Y-secretases is the focus of many studies. Hoek et al. (2004); Baldi et al. (2003); and Wilson et al. (2000).


We have compared our results to the recent study of Haqq et al (2005). In their work, cDNA microarray containing 20,862 probes was used to profile benign nevi, primary melanoma and metastatic melanoma specimens. The sample set included metastatic and primary melanoma and benign nevi. Similar clustering results that separated the benign nevi and the primary malignant melanoma tissues were found in their study. Common genes were reported in both studies that can discriminate melanoma from benign nevi including kinesin-like 5 (KNSL5), prostate differentiation factor (PLAB), CITEDl, osteopontin (SPPl), cathepsin B (CSTB), cadherin 3 (CDH3), presenilin 2 (PSEN2).


Our results of the one-step RT-PCR assay demonstrated that novel melanoma specific gene PLAB and LlCAM expressed not only in primary melanoma tissues but also in melanoma LN metastasis. Moreover, the ability to differentiate malignant melanoma from benign nevi made them better candidates than the conventional markers for the molecular test of melanoma diagnostics. With further validation in clinical studies, these genes could be developed as specific markers for a molecular staging assay to detect melanoma micrometastasis during sentinel lymph node (SLN) biopsy procedure. Another potential application of the genes is for diagnosis of melanocyte lesions with uncertain pathological features.


Although the foregoing invention has been described in some detail by way of illustration and example for purposes of clarity of understanding, the descriptions and examples should not be construed as limiting the scope of the invention.

TABLE 15Sequence Descriptions, names and SEQ ID NOS:1PLAB2L1CAM3NTRK4PLAB forward primer5PLAB reverse primer6PLAB probe7PLAB upper primer8PLAB lower primer9PLAB probe10L1CAM forward primer11L1CAM reverse primer12L1CAM probe13L1CAM upper primer14L1CAM lower primer15L1CAM probe16NTRK primer17NTRK primer18NTRK probe19Tyrosinase upper primer20Tyrosinase lower primer21Tyrosinase probe22PBGD upper primer23PBGD lower primer24PBGD probe25PLAB amplicon26L1CAM amplicon27Tyrosinase amplicon28PBGD amplicon29200078_s_atBC005876ATPase, H+ transporting, lysosomal30200601_atU48734non-muscle alpha-actinin31200612_s_atNM_001282AP2B1adaptor-related protein complex 2, β 132200644_atNM_023009MACMARCKSmacrophage myristoylated alanine-rich C kinase substrate33200660_atNM_005620S100A11S100 calcium-binding protein A1134200707_atNM_002743PRKCSHprotein kinase C substrate 80K-H35200736_s_atNM_000581GPX1glutathione peroxidase 136200737_atNM_000291PGK1phosphoglycerate kinase 137200783_s_atNM_005563LAP 18leukemia-assoc phosphoprotein p1838200825_s_atNM_006389ORP150oxygen regulated protein (15O kD)39200827_atNM_000302PLODprocollagen-lysine, 2-oxoglutarate 5-dioxygenase40200837_atNM_005745DXS1357Eaccessory proteins BAP31BAP2941200838_atNM_001908CTSBcathepsin B42200839_s_atNM_001908CTSB43200859_x_atNM_001456FLNAfilamin A, alpha44200910_atNM_005998CCT3chaperonin containing TCP1, sub 3(γ)45200950_atNM_006409ARPC1Aactin related protein 23 complex, sub1A46200950_atNM_006409ARPC1A47200966_x_atNM_000034ALDOAaldolase A, fructose-bisphosphate48200967_atNM_000942PPiBpeptidylprolyl isomerase B49200968_s_atNM_000942PPIB50200972_atBC000704tetraspan 351201038_s_atBE560202putative HLA class II assoc protein I52201051_atBE560202putative HLA class II assoc protein I53201105_atNM_002305LGALS1lectin, galactoside-binding, soluble, 154201106_atNM_002085GPX4glutathione peroxidase 455201188_s_atD26351ITPR3type 3 inositol 1,4,5-trisphosphatereceptor56201189_s_atNM_002224ITPR357201195_s_atAB018009L-type amino acid transporter 158201202_atNM_002592PCNAproliferating cell nuclear antigen59201251_atNM_002654PKM2pyruvate kinase, muscle60201252_atNM_006503PSMC4proteasome 26S subunit, ATPase, 461201271_s_atNM_016732RALYRNA-binding protein transcript var 162201291_s_atNM_001067topoisomerase (DNA) II alpha63201313_atNM_001975ENO2enolase 264201346_atNM_024551FLJ21432hypothetical protein FLJ2143265201393_s_atNM_000876IGF2Rinsulin-like growth factor 2 receptor66201416_atNM_003107SRY-box 467201417_atNM_003107SRY-box 468201470_atNM_004832GSTTLp28glutathione-S-transferase like;glutathione transferase omega69201474_s_atNM_002204ITGA3integrin, alpha 3 transcript variant a70201485_s_atBC004892RCN2reticulocalbin 2, EF-hand calciumbinding domain71201486_atNM_002902RCN272201536_atAL048503DKFZp586M152473201614_s_atNM_003707RUVBL1RuvB (E coli homolog)-like 174201660_atFACL3fatty-acid-Coenzyme A ligase, long-chain 375201661_s_atNM_004457FACL376201662_s_atD89053Acyl-CoA synthetase 377201670_s_atM68956MARCKS 80K-Lmyristoylated alanine-rich C-kinasesubstrate78201714_atNM_001070TUBG1tubulin, gamma 179201765_s_atAL523158hexosaminidase A80201792_atNM_001129AEBP1AE-binding protein 181201804_x_atNM_001281CKAP1cytoskeleton-associated protein 182201819_atNM_005505CD36L1CD36 antigen-like 183201850_atNM_001747CAPGcapping protein gelsolin-like84201880_atNM_005744ariadne (Drosophila) homolog,ubiquitin-conjugating enzyme E2-binding protein, 185201910_atBF213279FARP1RhoGEF & pleckstrin domain 186201911_s_atNM_005766FARP187201931_atNM_000126ETFAelectron-transfer-flavoprotein, αpolypeptide88201954_atNM_005720ARPC1Bactin related protein 23 com, sub 1A89201976_s_atNM_012334MYO10myosin X90202069_s_atAI826060IDH3Aisocitrate dehydrogenase 3 alpha91202070_s_atNM_005530IDH3A92202111_atNM_003040SLC4A2solute carrier fam 4 anion exchangermem 293202154_x_atNM_006086TUBB4tubulin, beta, 494202185_atNM_001084PLOD3procollagen-lysine, 2-oxoglutarate 5-dioxygenase95202188_atNM_014669KIAA0095KIAA0095 gene product96202219_atNM_005629SLC6A8solute carrier family 6, member 897202224_atNM_016823v-crk avian sarcoma virus CT10oncogene homolog98202225_atNM_016823v-crk avian sarcoma virus CT10oncogene homolog99202260_s_atNM_003165STXBP1syntaxin binding protein 1100202295_s_atNM_004390CTSHcathepsin H101202329_atNM_004383CSKc-src tyrosine kinase102202367_atNM_001913CUTL1cut (Drosophila)-like 1103202370_s_atNM_001755CBFBcore-binding factor, β sub trans var 2104202478_atNM_021643GS3955GS3955 protein105202503_s_atNM_014736KIAA0101KIAA0101 gene product106202589_atNM_001071TYMSthymidylate synthetase107202603_atN51370disintegrin and metalloproteinasedomain 10108202705_atNM_004701CCNB2cyclin B2109202737_s_atNM_012321LSM4U6 snRNA-associated Sm-like protein110202779_s_atNM_014501E2-EPFubiquitin carrier protein111202785_atNM_005001NDUFA7NADH dehydrogenase 1 αsubcomplex, 7112202862_atNM_000137FAHfumarylacetoacetate113202898_atNM_014654KIAA0468KIAA0468 gene product114202954_atNM_007019UBCH10ubiquitin carrier protein E2-C115202958_atNM_002833PTPN9protein tyrosine phosphatase, non-receptor type 9116202961_s_atNM_004889ATP5J2ATP synthase, H+ transporting,mitochondrial F0 complex, subunit f,isoform 2117202986_atNM_014862KIAA0307KIAA0307 gene product118203011_atNM_005536IMPA1inositol(myo)-1(or 4)-monophosphatase 1119203022_atNM_006397RNASEHIribonuclease HI, large subunit120203069_atNM_014849KIAA0736KIAA0736 gene product121203071_atNM_004636SEMA3Bsema domain, Ig domain, short basicdomain, secreted, 3B122203094_atNM_014628KIAA0110gene predicted from cDNA123203145_atNM_006461DEEPESTmitotic spindle coiled-coil related124203167_atNM_003255TIMP2tissue inhibitor of metalloproteinase 2125203217_s_atNM_003896SIAT9sialyltransferase 9126203234_atNM_003364UPuridine phosphorylase127203256_atNM_001793CDH3cadherin 3, type 1, P-cadherin(placental)128203262_s_atNM_004699DXS9928Echromosome X 9928 expressed seq129203300_x_atNM_003916AP1S2adaptor-related protein complex 1,sigma 2 subunit130203315_atBC000103NCK adaptor protein 2,131203366_atNM_002693POLGpolymerase (DNA directed), gamma132203396_atNM_002789PSMA4proteasome subunit, α type, 4133203452_atNM_012200B3GAT3beta-1,3-glucuronyltransferase 3134203456_atNM_007213JM4JM4 protein135203502_atNM_001724BPGM2,3-bisphosphoglycerate mutase136203518_atNM_000081CHS1Chediak-Higashi syndrome 1137203554_x_atNM_004219PTTG1pituitary tumor-transforming 1138203557_s_atNM_000281PCBD6-pyruvoyl-tetrahydropterinsynthasedimerization cofactor ofhepatocyte nuclear factor 1 alpha139203570_atNM_005576LOXL1lysyl oxidase-like 1140203590_atNM_006141DNCLI2dynein, cytoplasmic, light intermediatepolypeptide 2141203643_atNM_006494ERFEts2 repressor factor142203663_s_atNM_004255COX5Acytochrome c oxidase subunit Va143203668_atNM_006715MAN2C1mannosidase, α, class 2C, mem 1144203693_s_atNM_001949E2F3E2F transcription factor 3145203695_s_atNM_004403DFNA5deafness, autosomal dominant 5146203723_atNM_002221ITPKBinositol 1,4,5-trisphosphate 3-kinase B147203729_atNM_001425EMP3epithelial membrane protein 3148203730_s_atBF196931ZFP95zinc finger protein homologous toZfp95 in mouse149203731_s_atNM_014569ZFP95150203775_atNM_014251SLC25A13solute carrier family 25, member 13151203827_atNM_017983FLJ10055hypothetical protein FLJ10055152203878_s_atNM_005940MMP11matrix metalloproteinase 11153204014_atNM_001394DUSP4dual specificity phosphatase 4154204015_s_atBC002671DUSP4155204033_atNM_004237TRIP13thyroid hormone receptor interactor 13156204092_s_atNM_003600STK15serinethreonine kinase 15157204099_atNM_003078SMARCD3SWISNF related, matrix associated,actin dependent regulator ofchromatin, subfamily d, member 3158204170_s_atNM_001827CKS2CDC28 protein kinase 2159204197_s_atNM_004350RUNX3runt-related transcription factor 3160204198_s_atAA541630RUNX3161204202_atNM_017604KIAA1023KIAA1023 protein162204228_atNM_006347USA-CYPcyclophilin163204244_s_atNM_006716ASKactivator of S phase kinase164204247_s_atNM_004935CDK5cyclin-dependent kinase 5165204252_atM68520cdc2-related protein kinase166204262_s_atNM_000447PSEN2presenilin 2 transcript variant 1167204423_atNM_013255MKLN1muskelin 1, intracellular mediatorcontaining kelch motifs168204436_atNM_025201PP1628hypothetical protein PP1628169204458_atAL110209DKFZp564A0122170204467_s_atNM_000345SNCAsynuclein, α transcript var NACP140171204584_atAI653981L1CAML1 cell adhesion molecule, MASAtranscript var 1172204585_s_atNM_000425L1CAM173204647_atNM_004838HOMER-3Homer, neuronal imm early gene, 3174204654_s_atNM_003220TFAP2Atranscription factor AP-2 alpha175204709_s_atNM_004856KNSL5kinesin-like 5176204778_x_atAW102783HOXB7homeo box B7177204779_s_atNM_004502HOXB7178204857_atNM_003550MAD1L1MAD1-like 1179204932_atBF433902TNF receptor superfam, mem 11b180204973_atNM_000166GJB1gap junction protein, beta 1, 32 kD181204995_atAL567411cyclin-dependent kinase 5, regulatorysub 1 (p35)182205051_s_atNM_000222KITv-kit Hardy-Zuckerman 4 felinesarcoma viral oncogene homolog183205142_x_atNM_000033ABCD1ATP-binding cassette, sub-family D(ALD), mem 1184205169_atNM_005057RBBP5retinoblastoma-binding protein 5185205373_atNM_004389CTNNA2catenin alpha 2186205376_atNM_003866INPP4Binositol polyphosphate-4-phosphatase, type II, 105 kD187205405_atNM_003966SEMA5Asema domain, seven thrombospondinrepeats, transmembrane domain andshort cytoplasmic domain 5A188205447_s_atBE222201mitogen-activated protein kinasekinase kinase 12189205458_atBG034972melanocortin 1 receptor190205566_atNM_007011HS1-2putative transmembrane protein191205591_atNM_006334AMYneuroblastoma (nerve tissue) protein192205681_atNM_004049BCL2A1BCL2-related protein A1193205690_s_atNM_003910G10maternal G10 transcript194205691_atNM_004209SYNGR3synaptogyrin 3195205717_x_atNM_002588PCDHGC3protocadherin gamma subfamily C, 3196205813_s_atNM_000429MAT1Amethionine adenosyltransferase I, α197205937_atNM_006569CGR11cell growth regulatory with EF-handdomain198205945_atNM_000565IL6Rinterleukin 6 receptor199205996_s_atNM_013411AK2 Badenylate kinase 2200206128_atAI264306adrenergic, alpha-2C-, receptor201206307_s_atNM_004472FOXD1forkhead box D1202206332_s_atNM_005531IFI16interferon, gamma-inducible 16203206397_x_atNM_001492GDF1growth differentiation factor 1204206441_s_atNM_017828FLJ20452hypothetical protein FLJ20452205206462_s_atNM_002530NTRK3neurotrophic tyrosine kinase,receptor, type 3206206503_x_atNM_002675PMLpromyelocytic leukemia207206617_s_atNM_002910RENBPrenin-binding protein208206630_atNM_000372TYRtyrosinase209206688_s_atNM_006693CPSF4cleavage and polyadenylation specificfactor 4, 30 kD subunit210206696_atNM_000273OA1ocular albinism 1211206777_s_atNM_000496CRYBB2crystallin, beta B2212206864_s_atNM_003806HRKharakiri, BCL2-interacting protein213206976_s_atNM_006644HSP105Bheat shock 105 kD214207038_atNM_004694SLC16A6solute carrier family 16 member 6215207060_atNM_001427EN2engrailed homolog 2216207144_s_atNM_004143CITED1Cbpp300-interacting transactivator,with GluAsp-rich carboxy-terminaldomain, 1217207163_s_atNM_005163AKT1v-akt murine thymoma viral oncogenehomolog 1218207183_atNM_006143GPR19G protein-coupled receptor 19219207592_s_atNM_001194HCN2hyperpolarization activated cyclicnucleotide-gated potassium channel 2220207614_s_atNM_003592CUL1cullin 1221207622_s_atNM_005692ABCF2ATP-binding cassette, sub-fam Fmem 2222207828_s_atNM_005196CENPFcentromere protein F223208002_s_atNM_007274HBACHcytosolic acyl coenzyme A thioesterhydrolase224208089_s_atNM_030794FLJ21007hypothetical protein FLJ21007225208308_s_atNM_000175GPIglucose phosphate isomerase226208540_x_atNM_021039S100A14S100 calcium-binding protein A14227208644_atM32721poly(ADP-ribose) polymerase228208657_s_atAF142408cell division control protein septin D1229208677_s_atAL550657Basigin230208696_atAF275798PNAS-102231208710_s_atAI424923adaptor-related protein complex 3,delta 1 subunit232208723_atBC000350ubiquitin specific protease 11233208744_x_atBG403660heat shock 105 kD234208837_atBC000027integral type I protein235208916_atAF105230SLC1A5neutral amino acid transporter236208928_atAF258341NADPH-cytochrome P450 reductase237208956_x_atU62891DUTdeoxyuridine triphosphatase238208974_x_atBC003572karyopherin (importin) beta 1239208975_s_atL38951importin beta subunit240209015_s_atBC002446MRJ gene for a member of DNAJ fam241209036_s_atBC001917malate dehydrogenase 2, NAD242209053_s_atAF083389Wolf-Hirschhorn syn candidate 1243209072_atM13577MBPmyelin basic protein244209079_x_atAF152318PCDH-gamma-protocadherin gamma A1A1245209081_s_atNM_030582COL18A1collagen, type XVIII, alpha 1246209123_atBC000576quinoid dihydropteridine reductase247209132_s_atBE313890hypothetical protein FLJ20452248209172_s_atU30872mitosin249209197_atAA626780KIAA0080 protein250209198_s_atBC004291Similar to synaptotagmin 11251209247_s_atBC001661ATP-binding cassette, sub-fam Fmem 2252209254_atAF277177KIAA0265 protein253209255_atAF277177KIAA0265 protein254209256_s_atAF277177PNAS-119255209283_atAF007162unknown mRNA256209345_s_atAL561930phosphatidylinositol 4-kinase type II257209407_s_atAF068892Dukes type B colon adenocarcinomatruncated suppressin258209515_s_atU38654Rab27a259209773_s_atBC001886ribonucleotide reductase M2 polypep260209825_s_atBC002906Sim to uridine monophosphate kinase261209827_s_atNM_004513IL16interleukin 16262209828_s_atM90391putative IL-16 protein precursor263209848_s_atU01874me20m264209875_s_atM83248nephropontin265209932_s_atU90223deoxyuridine triphosphatenucleotidohydrolase precursor266210052_s_atAF098158restricted expressed proliferationassociated protein 100267210073_atL32867alpha 2,8-sialyltransferase268210111_s_atAF277175PNAS-138269210127_atBC002510small GTPase RAB6B270210854_x_atU17986GABAnoradrenaline transporter271210926_atAY014272FKSG30FKSG30272210948_s_atAF294627LEF1lymphoid enhancer factor 1 isoform273210951_x_atAF125393Rab27 isoform274211013_x_atAF230411tripartite motif protein TRIM19 lambda275211052_s_atBC006364clone MGC: 12705,276211066_x_atBC006439Similar to protocadherin gammasubfamily A, 5277211373_s_atU34349AD3LPAD5seven trans-membrane domain278211564_s_atBC003096Sim to LIM domain protein279211752_s_atBC005954clone MGC: 14592280211759_x_atBC005969clone MGC: 14625281211833_s_atU19599BAX delta282212000_atAB002363KIAA0365 gene product283212070_atAL554008G protein-coupled receptor 56284212081_x_atAF129756MSH55MSH55285212119_atBF348067phosphatidylinositol glycan, class F286212178_s_atAK022555FLJ12493 fis287212193_s_atBE881529KIAA0731 protein288212247_atAW008531KIAA0225 protein289212285_s_atAF016903IMAGE: 3506210290212312_atAL117381clone RP5-857M17 on chrom 20291212338_atAA621962KIAA0727 protein292212402_atBE895685KIAA0853 protein293212472_atBE965029FLJ22463 fis294212473_s_atBE965029FLJ22463 fis295212512_s_atAA551784coactivator-associated argininemethyltransferase-1296212520_s_atAI684141SWISNF related297212552_atBE617588hippocalcin-like298212715_s_atAB020626KIAA0819 protein299212739_s_atAL523860non-metastatic cells 4300212744_atAI813772clone HQ0692301212745_s_atAI813772clone HQ0692302212793_atBF513244KIAA0381 protein303212796_s_atBF195608KIAA1055 protein304213002_atBF347326MARCKS, 80K-Lmyristoylated alanine-rich proteinkinase C substrate305213007_atBG478677polymerase (DNA directed), gamma306213008_atBG478677polymerase (DNA directed), gamma307213096_atT51252KIAA0481 gene product308213131_atR38389olfactomedin related ER localized309213169_atBG109855clone TUA8 Cri-du-chat region310213215_atAI910895clone EUROIMAGE 42138311213217_atAU149572adenylate cyclase 2(brain)312213241_atAF035307clone 23785313213274_s_atBE875786cathepsin B314213275_x_atBE875786cathepsin B315213330_s_atBE886580stress-induced-phosphoprotein 1316213333_atAL520774malate dehydrogenase 2, NAD317213338_atBF062629DKFZP586E1621 protein318213392_atAW070229G protein-coupled receptor, fam C,group 5, mem B319213474_atAI890903ESTs320213496_atAW592563KIAA0455 gene product321213573_atAA861608karyopherin (importin) beta 1322213587_s_atAI884867ribosomal protein L26323213638_atAW054711PAC 257A7 on chromosome 6p24324213670_x_atAI768378KIAA0618 gene product325213720_s_atAI831675SWISNF related, matrix associated,actin dependent regulator ofchromatin, subfam a, member 4326213746_s_atAW051856filamin A, alpha327213836_s_atAW052084KIAA1001 protein328213895_atBF445047epithelial membrane protein 1329213960_atT87225CLONE = IMAGE: 22392330214023_x_atAL533838tubulin, beta polypeptide331214068_atAF070610clone 24505332214104_atAI703188G-protein coupled receptor333214201_x_atAA742237HLA-B associated transcript-2334214581_x_atBE568134death receptor 6335214614_atAI738662homeo box HB9336214632_atAA295257neuropilin 2337214656_x_atBE790157myosin IB338214687_x_atAK026577FLJ22924 fis339214708_atBG484314syntrophin, beta 1340214710_s_atBE407516cyclin B1341214714_atAK022360FLJ12298 fis342214717_atAL137534DKFZp434H1419343214752_x_atAI625550filamin A, alpha344214778_atAB011541MEGF8345214841_atAF070524clone 24453346214893_x_atAI421964hyperpolarization activated cyclicnucleotide-gated potassium channel 2347214896_atAL109671EUROIMAGE 29222348215025_atS76476trkC {alternatively spliced}349215115_x_atAI613045ets variant gene 6 (TEL oncogene)350215126_atAL109716EUROIMAGE 208948351215155_atJ04178HEXAabnormal β-hexosaminidase α chain352215311_atAL109696EUROIMAGE 21920353215812_s_atU41163SLC6A10creatine transporter354215836_s_atAK026188FLJ22535 fis355216194_s_atAD001527DNA from chrom 19-cosmid f24590containing CAPNS and POL2RI356216973_s_atS49765homeo box B7357217033_x_atS76475trkCneurotrophic tyrosine kinase,receptor, type 3358217104_atAL109714EUROIMAGE 327506359217226_s_atM95929PHOX1Paired mesoderm homeo box 1360217297_s_atAF143684MYO9bunconventional myosin IXb361217377_x_atAF041811ETV6-NTRK3ETS related protein-growth factorfusionreceptor tyrosine kinase fusionproteins362217419_x_atAK021586FLJ11524 fis363217624_atAA464753ESTs364217799_x_atNM_003344UBE2Hubiquitin-conjugating enzyme E2H365217827_s_atNM_016630ACP33acid cluster protein 33366217867_x_atNM_012105BACE2beta-site APP-cleaving enzyme 2367217874_atNM_003849SUCLG1succinate-CoA ligase, GDP-forming,alpha subunit368217891_atNM_022744FLJ13868hypothetical protein FLJ13868369218009_s_atNM_003981PRC1protein regulator of cytokinesis 1370218030_atNM_014030GIT1G protein-coupled receptor kinase-interactor 1371218074_atNM_016062LOC51647CGI-128 protein372218143_s_atNM_005697SCAMP2secretory carrier membrane protein 2373218151_x_atNM_024531FLJ11856hypothetical protein FLJ11856374218152_atNM_018200HMG20Ahigh-mobility group 20A375218161_s_atNM_017882FLJ20561hypothetical protein FLJ20561376218175_atNM_025140FLJ22471hypothetical protein FLJ22471377218330_s_atNM_018162FLJ10633hypothetical protein FLJ10633378218349_s_atNM_017975FLJ10036hypothetical protein FLJ10036379218359_atNM_024958FLJ23329hypothetical protein FLJ23329380218376_s_atNM_022765FLJ11937hypothetical protein FLJ11937381218447_atNM_020188DC13DC13 protein382218542_atNM_018131FLJ10540hypothetical protein FLJ10540383218564_atBC002574FLJ10520hypothetical protein FLJ10520384218618_s_atNM_022763FLJ23399hypothetical protein FLJ23399385218678_atNM_024609FLJ21841hypothetical protein FLJ21841386218774_atNM_014026HSPC015HSPC015 protein387218786_atNM_016575TU12B1-TYTU12B1-TY protein388218824_atNM_018215FLJ10781hypothetical protein FLJ10781389218839_atNM_012258HEY1hairyenhancer-of-split related withYRPW motif 1390218856_atNM_016629LOC51323hypothetical protein LOC51323391218888_s_atNM_018092FLJ10430hypothetical protein FLJ10430392218931_atNM_022449FLJ12538hypothetical protein FLJ12538393218952_atNM_013271SAASgranin-like neuroendocrine peptideprecursor394218956_s_atNM_015545KIAA0632KIAA0632 protein395218980_atNM_025135KIAA1695hypothetical protein FLJ22297396218996_atNM_013342TFPTTCF3 (E2A) fusion partner397219011_atNM_020904PLEKHA4pleckstrin homology domain-containing, family A member 4398219039_atNM_017789FLJ20369hypothetical protein FLJ20369399219040_atNM_024535FLJ22021hypothetical protein FLJ22021400219041_s_atNM_014374AP4zinc finger protein401219051_x_atNM_024042MGC2601hypothetical protein MGC2601402219066_atNM_021823MDS018hypothetical protein MDS018403219066_atNM_021823MDS018hypothetical protein MDS018404219148_atNM_018492TOPKPDZ-binding kinase; T-cell originatedprotein kinase405219152_atNM_015720PODLX2endoglycan406219219_atNM_017854FLJ20512hypothetical protein FLJ20512407219361_s_atNM_022767FLJ12484hypothetical protein FLJ12484408219372_atNM_014055CDV-1CDV-1 protein409219408_atNM_019023FLJ10640hypothetical protein FLJ10640410219478_atNM_021197WFDC1WAP four-disulfide core domain 1411219491_atNM_024036MGC3103hypothetical protein MGC3103412219522_atNM_014344FJX1putative secreted ligand homologousto fjx1413219537_x_atNM_016941DLL3Delta (Drosophila)-like 3414219555_s_atNM_018455BM039uncharacterized bone marrow proteinBM039415219578_s_atNM_030594FLJ13203hypothetical protein FLJ13203416219634_atNM_018413C4STchondroitin 4-sulfotransferase417219637_atNM_025139FLJ12584hypothetical protein FLJ12584418219703_atNM_018365FLJ11222hypothetical protein FLJ11222419219742_atNM_030567MGC10772hypothetical protein MGC10772420219895_atNM_017938FLJ20716hypothetical protein FLJ20716421219933_atNM_016066LOC51022CGI-133 protein422220116_atNM_021614KCNN2potassium intermediatesmallconductance calcium-activatedchannel, subfamily N, member 2423220155_s_atNM_023924FLJ13441hypothetical protein FLJ13441424220178_atNM_021731PP3501hypothetical protein PP3501425220454_s_atNM_020796SEMA6Asema domain, transmembranedomain and cytoplasmic domain, 6A426220864_s_atNM_015965LOC51079CGI-39 protein; cell death-regulatoryprotein GRIM19427220948_s_atNM_000701ATP1A1ATPase, Na+K+ transporting, alpha 1polypeptide428220973_s_atNM_030974hypothetical protein DKFZp434N1923429220974_x_atNM_030971BA108L7.2similar to rat tricarboxylate carrier-like430220980_s_atNM_031284hypothetical protein DKFZp434B195431221059_s_atNM_021615CHST6carbohydrate sulfotransferase 6432221483_s_atAF084555ARPP-19okadaic acid-inducible and cAMP-regulated phosphoprotein 19433221484_atNM_004776UDP-Gal:betaGlcNAc beta 1,4-galactosyltransferase, polypeptide 5434221538_s_atAL136663DKFZp564A176435221558_s_atAF288571LEF1lymphoid enhancer factor-1436221577_x_atAF003934prostate differentiation factor437221641_s_atAF241787CGI16-iso438221688_s_atAL136913DKFZp586L0118439221710_x_atBC006241hypothetical protein FLJ10647440221732_atAK026161FLJ22508 fis441221759_atAL583123CLONE = CS0DL009YN09442221797_atAY007126clone CDABP0028443221799_atAB037823KIAA1402 protein,444221815_atBE671816ESTs445221882_s_atAI636233five-span transmembrane protein M83446221902_atAL567940CLONE = CS0DF036YK19447221909_atBF984207ESTs448221962_s_atAI829920ubiquitin-conjugating enzyme E2H449222116_s_atAL157485DKFZp762O207450222153_atAK023133FLJ13071 fis451222155_s_atAK021918FLJ11856 fis452222175_s_atAK000003FLJ00003 protein453222196_atAK000470FLJ20463 fis454222199_s_atAK001289FLJ10427 fis455222206_s_atAA781143EUROIMAGE 2021883456222212_s_atAK001105FLJ10243 fis457222231_s_atAK025328FLJ21675 fis458222234_s_atAK022644FLJ12582 fis459222240_s_atAL137749DKFZp434A0612460222294_s_atAW971415ESTs46132811_atX98507myosin-I beta46240560_atU28049TXB2TBX246344783_s_atR61374IMAGE-3766546446665_atAI949392IMAGE-247092646555093_atAA534198IMAGE-99311646663825_atAI55731946787100_atAI832249468200017_atNM_002954RPS27Aribosomal protein S27a469200606_atNM_004415DSPdesmoplakin (DPI, DPII)470200632_s_atNM_006096NDRG1N-myc downstream regulated471200636_s_atNM_002840PTPRFprotein tyrosine phosphatase,receptor type, F472200795_atNM_004684SPARCL1SPARC-like 1473200810_s_atNM_001280CIRBPcold inducible RNA-binding protein474200897_s_atNM_016081KIAA0992Palladin475200953_s_atNM_001759CCND2cyclin D2476200965_s_atNM_006720ABLIM-sactin binding LIM protein 1 transcriptvariant477201012_atNM_000700ANXA1annexin A1478201041_s_atNM_004417DUSP1dual specificity phosphatase 1479201125_s_atNM_002213ITGB5integrin, beta 5480201200_atNM_003851CREGcellular repressor of E1A-stimulatedgenes481201286_atZ48199syndecan 1syndecan-1 gene (exons 2-5)482201328_atAL575509v-ets avian erythroblastosis virus E26oncogene homolog 2483201425_atNM_000690ALDH2aldehyde dehydrogenase 2,mitochondrial484201427_s_atNM_005410SEPP1selenoprotein P, plasma, 1485201432_atNM_001752CATCatalase486201540_atNM_001449FHL1four and a half LIM domains 1487201667_atNM_000165GJA1gap junction protein, alpha 1, 43 kD488201681_s_atAB011155KIAA0583KIAA0583489201798_s_atNM_013451FER1L3fer-1 (C. elegans)-like 3 (myoferlin)490201820_atNM_000424KRT5keratin 5491201829_atAW263232NET1neuroepithelial cell transf gene 1492201830_s_atNM_005863NET1neuroepithelial cell transf gene 1493201839_s_atNM_002354TACSTD1tumor-associated calcium signaltransducer 1494201842_s_atAI826799EGF-containing fibulin-likeextracellular matrix protein 1495201843_s_atNM_004105EFEMP1EGF-containing fibulin-likeextracellular matrix protein 1transcript variant 1496201983_s_atAW157070epidermal growth factor receptor497201984_s_atNM_005228EGFRepidermal growth factor receptor498202054_s_atNM_000382ALDH3A2aldehyde dehydrogenase 3 family,member A2499202085_atNM_004817TJP2tight junction protein 2500202193_s_atNM_001144AMFRautocrine motility factor receptor501202196_s_atNM_013253DKK3dickkopf (Xenopus laevis) homolog 3502202242_atNM_004615TM4SF2transmembrane 4 superfamily mem 2503202267_atNM_005562LAMC2laminin, gamma 2, transcript variant 1504202286_s_atJ04152GA733-1gastrointestinal tumor-assoc antigen505202289_s_atNM_006997TACC2transforming, acidic coiled-coilcontaining protein 2506202350_s_atNM_002380MATN2matrilin 2 precursor, transcript var 1507202387_atNM_004323BAG1BCL2-associated athanogene508202489_s_atBC005238FXYD domain-containing iontransport regulator 3509202525_atNM_002773PRSS8protease, serine, 8 (prostasin)510202552_s_atNM_016441CRIM1cysteine-rich motor neuron 1511202565_s_atNM_003174SVILsupervillin transcript variant 1512202575_atNM_001878CRABP2cellular retinoic acid-binding protein 2513202597_atAU144284interferon regulatory factor 6514202668_atBF001670ephrin-B2515202712_s_atNM_020990CKMT1creatine kinase, mitochondrial 1nuclear gene mitochondrial protein516202746_atAL021786PAC 696H22 on chrom Xq21.1-21.2517202826_atNM_003710SPINT1serine protease inhibitor, Kunitz t 1518202890_atT62571microtubule-associated protein 7519202936_s_atNM_000346SOX9SRY-box 9520202994_s_atZ95331clone CTA-941F9 on chrom 22q13521203037_s_atNM_014751KIAA0429KIAA0429 gene product522203074_atNM_001630ANXA8annexin A8523203081_atNM_020248LOC56998beta-catenin-interacting protein ICAT524203126_atNM_014214IMPA2inositol(myo)-1(or 4)-monophosphatase 2525203178_atNM_001482GATMglycine amidinotransferase526203240_atNM_003890FC(γ)BPIgG Fc binding protein527203327_atN22903insulin-degrading enzyme528203355_s_atNM_015310KIAA0942KIAA0942 protein529203407_atNM_002705PPLPeriplakin530203408_s_atNM_002971SATB1special AT-rich sequence bindingprotein 1531203430_atNM_014320SOULputative heme-binding protein532203453_atNM_001038SCNN1ANa channel, nonvoltage-gated 1 α533203485_atNM_021136RTN1reticulon 1534203549_s_atNM_000237LPLlipoprotein lipase535203571_s_atNM_006829APM2adipose specific 2536203585_atNM_007150ZNF185zinc finger protein 185 (LIM domain)537203636_atBE967532MID1midline 1 (OpitzBBB syndrome)538203637_s_atNM_000381MID1539203638_s_atNM_022969FGFR2FGF receptor 2 transcript var 2540203678_atNM_014967KIAA1018KIAA1018 protein541203687_atNM_002996SCYD1small inducible cytokine subfam D(Cys-X3-Cys) mem 1542203726_s_atNM_000227LAMA3laminin, alpha 3543203786_s_atNM_003287TPD52L1tumor protein D52-like 1544203797_atAF039555VSNL1visinin-like protein 1545203799_atNM_014880KIAA0022KIAA0022 gene product546203812_atAB011538MEGF5547203881_s_atNM_004010dystrophin transcript variant Dp427p2548203910_atNM_004815PARG1PTPL1-associated RhoGAP 1549203917_atNM_001338CXADRcoxsackie virus and adenovirusreceptor550203961_atAL157398NEBLnebulette protein551203962_s_atNM_006393NEBL552203963_atNM_001218CA12carbonic anhydrase XII553203992_s_atAF000992UTXubiquitous TPR motif, X isoformalternative transcript 1554203997_atNM_002829PTPN3protein tyrosine phosphatase, non-receptor type 3555204005_s_atNM_002583PAWRPRKC, apoptosis, WT1, regulator556204019_s_atNM_015677hypothetical protein DKFZP586F1318557204036_atAW269335endothelial differentiation,lysophosphatidic acid G-protein-coupled receptor, 2558204037_atAW269335endothelial differentiation,lysophosphatidic acid G-protein-coupled receptor, 2559204042_atAB020707KIAA0900 protein560204058_atAL049699clone 747H23 on chrom 6q13-15561204059_s_atNM_002395ME1malic enzyme 1, NADP(+)-dependent,cytosolic562204072_s_atNM_02303713CDNA73putative gene product563204112_s_atNM_006895HNMThistamine N-methyltransferase564204135_atNM_014890DOC1downregulated in ovarian cancer 1565204136_atNM_000094COL7A1collagen, type VII, alpha 1566204151_x_atNM_001353AKR1C1aldo-keto reductase family 1, mem C1567204154_atNM_001801CDO1cysteine dioxygenase, type I568204168_atNM_002413MGST2microsomal glutathione S-transferase 2569204201_s_atNM_006264PTPN13protein tyrosine phosphatase, non-receptor type 13570204204_atNM_001860SLC31A2solute carrier family 31 member 2571204224_s_atNM_000161GCH1GTP cyclohydrolase 1572204254_s_atNM_000376VDRvitamin D receptor573204345_atNM_001856COL16A1collagen, type XVI, alpha 1574204351_atNM_005980S100PS100 calcium-binding protein P575204359_atNM_013231FLRT2fibronectin leucine richtransmembrane protein 2576204363_atNM_001993F3coagulation factor III577204379_s_atNM_000142FGFR3fibroblast growth factor receptor 3578204388_s_atNM_000240MAOAmonoamine oxidase A579204389_atNM_000240MAOAmonoamine oxidase A580204400_atNM_005864EFS2signal transduction protein581204421_s_atM27968FGFbasic fibroblast growth factor582204422_s_atNM_002006FGF2fibroblast growth factor 2 (basic)583204424_s_atAL050152neuronal specific transcription factorDAT1584204455_atNM_001723BPAG1bullous pemphigold antigen 1585204503_atNM_001988EVPLenvoplakin586204517_atBE962749cyclophilin Cpeptidylprolyl isomerase C587204519_s_atNM_015993LOC51090plasmolipin588204537_s_atNM_004961GABREgamma-aminobutyric acid A receptor,epsilon transcript variant 1589204591_atNM_006614CHL1cell adhesion molecule with homologyto L1CAM590204600_atNM_004443EPHB3EphB3591204671_s_atBE677131KIAA0957 protein592204675_atNM_001047SRD5A1steroid-5-α-reductase, α polypeptide 1593204718_atNM_004445EPHB6EphB6594204719_atNM_007168ABCA8ATP-binding cassette, sub-fam Amem 8595204734_atNM_002275KRT15keratin 15596204749_atNM_004538NAP1L3nucleosome assembly protein 1-like 3597204753_s_atAI810712hepatic leukemia factor598204754_atAI810712hepatic leukemia factor599204755_x_atM95585HLFleukemia factor600204765_atNM_005435ARHGEF5Rho guanine nucleotide exchangefactor 5601204773_atNM_004512IL11RAinterleukin 11 receptor, alpha602204773_atNM_004512IL11RA603204855_atNM_002639SERPINB5serine (or cysteine) proteinaseinhibitor, clade B, member 5604204872_atNM_007005BCE-1BCE-1 protein605204937_s_atNM_016325ZNF274zinc finger protein 274606204942_s_atNM_000695ALDH3B2aldehyde dehydrogenase 3 fam memB2607204952_atNM_014400C4.4AGPI-anchored metastasis-associatedprotein homolog608204971_atNM_005213CSTAcystatin A (stefin A)609204975_atNM_001424EMP2epithelial membrane protein 2610204990_s_atNM_000213ITGB4integrin, beta 4611205014_atNM_005130HBP17heparin-binding growth factor binding612205019_s_atNM_004624VIPR1vasoactive intestinal pep receptor 1613205081_atNM_001311CRIP1cysteine-rich protein 1 (intestinal)614205109_s_atNM_015320ARHGEF4Rho guanine nucleotide exchangefactor (GEF) 4615205128_x_atNM_000962PTGS1prostaglandin-endoperoxide synthase 1616205185_atNM_006846SPINK5serine protease inhibitor, Kazal t, 5617205200_atNM_003278TNAtetranectin618205206_atNM_000216KAL1Kallmann syndrome 1 sequence619205236_x_atNM_003102SOD3superoxide dismutase 3, extracellular620205251_atNM_022817PER2period homolog 2 transcript variant 1621205259_atNM_000901NR3C2nuclear receptor subfamily 3, groupC, member 2622205286_atU85658transcription factor ERF-1623205349_atNM_002068GNA15guanine nucleotide binding protein, α 15624205363_atNM_003986BBOX1butyrobetaine (γ), 2-oxoglutaratedioxygenase 1625205382_s_atNM_001928DFD component of complement (adipsin)626205384_atNM_005031FXYD1FXYD domain-containing iontransport regulator 1 variant a627205403_atNM_004633IL1R2interleukin 1 receptor, type II628205404_atNM_005525HSD11B1hydroxysteroid dehydrogenase 1629205407_atNM_021111RECKreversion-inducing-cysteine-richprotein with kazal motifs630205440_s_atNM_000909NPY1Rneuropeptide Y receptor Y1631205455_atNM_002447MST1Rmacrophage stimulating 1 receptor632205464_atNM_000336SCNN1BNa channel, nonvoltage-gated 1, β633205470_s_atNM_006853KLK11kallikrein 11634205490_x_atBF060667connexin 31gap junction protein, beta 3, 31 kD635205498_atNM_000163GHRgrowth hormone receptor636205559_s_atNM_006200PCSK5proprotein convertase subtilisinkexintype 5637205560_atNM_006200PCSK5638205569_atNM_014398TSC403similar to lysosome-associatedmembrane glycoprotein639205613_atNM_016524LOC51760BK protein640205668_atNM_002349LY75lymphocyte antigen 75641205672_atNM_000380XPAxeroderma pigmentosum,complementation group A642205709_s_atNM_001263CDS1CDP-diacylglycerol synthase 1643205730_s_atNM_014945KIAA0843KIAA0843 protein644205765_atNM_000777CYP3A5cyt P450, subfam IIIA, polypep 5645205807_s_atNM_020127TUFT1tuftelin 1646205857_atAI269290solute carrier family 18, member 2647205883_atNM_006006ZNF145zinc finger protein 145648205900_atNM_006121KRT1keratin 1649205933_atNM_015559KIAA0437KIAA0437 protein650205977_s_atNM_005232EPHA1EphA1651206032_atAI797281est:we86g02.x1652206033_s_atNM_001941DSC3desmocollin 3 transcript variant Dsc3a653206068_s_atAI367275acyl-Coenzyme A dehydrogenase, long chain654206093_x_atNM_007116TNXAtenascin XA655206122_atNM_006942SOX20SRY-box 20656206149_atNM_022097LOC63928hepatocellular carcinoma antigengene 520657206170_atNM_000024ADRB2adrenergic, beta-2-, receptor, surface658206192_atL20815S protein659206201_s_atNM_005924MEOX2mesenchyme homeo box 2660206276_atNM_003695E48lymphocyte antigen 6 camp locus D661206315_atNM_004750CRLF1cytokine receptor-like factor 1662206363_atNM_005360MAFv-maf musculoaponeuroticfibrosarcoma oncogene homolog663206385_s_atNM_020987ANK3ankyrin 3, node of Ranvier, tran var 1664206400_atNM_002307LGALS7lectin, galactoside-binding, soluble, 7665206453_s_atNM_016250NDRG2N-myc downstream-regulated gene 2666206481_s_atNM_001290LDB2LIM domain binding 2667206482_atNM_005975PTK6PTK6 protein tyrosine kinase 6668206515_atNM_000896CYP4F3cyt P450, subfam IVF, polypeptide 3669206539_s_atNM_023944CYP4F12cytochrome P450 isoform 4F12670206581_atNM_001717BNCbasonuclin671206637_atNM_014879KIAA0001KIAA0001 gene product672206655_s_atNM_000407GP1BBglycoprotein lb (platelet), β polypep673206693_atNM_000880IL7interleukin 7674206884_s_atNM_003843SCELsciellin675207002_s_atNM_002656PLAGL1pleiomorphic adenoma gene-like 1676207023_x_atNM_000421KRT10keratin 10677207076_s_atNM_000050ASSargininosuccinate synthetase678207121_s_atNM_002748MAPK6mitogen-activated protein kinase 6679207655_s_atNM_013314SLP65B cell linker protein680207720_atNM_000427LORloricrin681207761_s_atNM_014033DKFZP586A0522 protein682207843_x_atNM_001914CYB5cytochrome b-5683207908_atNM_000423KRT2Akeratin 2A684207943_x_atNM_006718PLAGL1pleiomorphic adenoma gene-liketranscript variant 2685207955_atNM_006664SCYA27small inducible cytokine subfamily A(Cys—Cys), member 27686207996_s_atNM_004338C18ORF1chrom 18 open reading frame 1687208096_s_atNM_030520hypothetical protein DKFZp564B052688208146_s_atNM_031311LOC54504serine carboxypeptidase vitellogenic-like689208161_s_atNM_020037ABCC3ATP-binding cassette sub-fam C mem 3690208190_s_atNM_015925LISCH7liver-specific bHLH-Zip transcriptionfactor691208228_s_atM87771K-sam-IIIsecreted FGF receptor692208609_s_atNM_019105TNXBtenascin XB693208614_s_atM62994thyrold autoantigen694208651_x_atM58664CD24 signal transducer695208690_s_atBC000915Similar to LIM protein,696208798_x_atAF204231GM8888-kDa Golgi protein697209047_atAL518391aquaporin 1698209159_s_atAV724216NDRG family, member 4699209160_atAB018580hluPGFSaldo-keto reductase family 1, mem C3700209211_atAF132818CKLFcolon Kruppel-like factor701209212_s_atAB030824transcription factor BTEB2702209289_atAI700518nuclear factor IB703209290_s_atBC001283Similar to nuclear factor IB,704209309_atD90427zinc-alpha2-glycoprotein705209318_x_atBG547855pleiomorphic adenoma gene-like 1706209335_atAI281593decorin707209348_s_atAF055376c-mafshort form transcription factor C-MAF708209351_atBC002690keratin 14709209357_atAF109161MRG1p35srj710209366_x_atM22865cytochrome b5711209368_atAF233336EPHX2soluble epoxide hydrolase712209386_atAI346835transmembrane 4 superfam mem 1713209392_atL35594autotaxinectonucleotidepyrophosphatasephosphodiesterase 2714209465_x_atAL565812pleiotrophin715209493_atAF338650AIPCPDZ domain-containing protein AIPC716209540_atNM_000618somatomedin Cinsulin-like growth factor 1717209550_atU35139NECDIN related protein718209558_s_atAB013384HIP1Rhuntingtin interacting protein-1-related719209590_atAL157414clone RP11-560A15 on chrom 20720209602_s_atAI796169GATA-binding protein 3721209603_atAI796169GATA-binding protein 3722209604_s_atBC003070GATA-binding protein 3, cloneMGC: 2346723209605_atD87292rhodanesethiosulfate sulfurtransferase724209656_s_atAL136550DKFZp761J17121725209679_s_atBC003379hyp protein from clone 643, cloneMGC: 5115726209684_atAL136924DKFZp586G2120727209687_atU19495hIRHintercrine-alpha728209691_s_atBC003541FLJ10488hypothetical protein FLJ10488729209699_x_atU05598dihydrodlol dehydrogenase730209732_atNM_005127Sim to C-type lectin, superfam mem 2731209763_atAL049176clone 141H5 on chrom Xq22.1-23732209771_x_atAA761181CD24 antigen733209863_s_atAF091627CUSP734209866_s_atR50822KIAA0768 protein735209975_atAF182276CYP2E1cytochrome P450-2E1736210059_s_atBC000433mitogen-activated protein kinase 13737210096_atJ02871lung cytochrome P450 BI738210128_s_atU41070P2 purinergic receptor739210298_x_atAF098518FHL14 and ½ LIM domains 1 protein isoform B740210347_s_atAF080216C2H2-type zinc-finger protein741210372_s_atAF208012TPD52L2tumor protein D52-like 2742210397_atU73945beta-defensin-1743210619_s_atAF173154HYAL1hyaluronoglucosaminidase 1 isof 2744210633_x_atM19156KRT10acidic keratin-10745210715_s_atAF027205kopKunitz-type protease inhibitor746210880_s_atAB001467Efs2747210958_s_atBC003646clone MGC: 4693748211043_s_atBC006332Lcbclathrin, light polypeptide749211105_s_atU80918NF-ATcCtranscrition factor750211382_s_atAF220152TACC2transforming, acidic coiled-coilcontaining protein 2751211458_s_atAF180519GABA-A receptor-associated752211596_s_atAB050468membrane glycoprotein LIG-1753211597_s_atAB059408SMAP31-12754211653_x_atM33376pseudo-chlordecone reductase755211712_s_atBC005830clone MGC: 1925756211734_s_atBC005912Fc fragment IgE, high affinity I, rec for αpolypep757211841_s_atU94510lymphocyte associated receptor ofdeath 9, alternatively spliced758211986_atBG287862desmoyokinAHNAK nucleoprotein759212148_atBF967998FLJ12900 fis,760212204_atAF132733DKFZP564G2022 protein761212242_atAL565074tubulin, alpha 1 (testis specific)762212327_atAK027231FLJ23578 fis, KIAA1102 protein763212328_atAK027231FLJ23578 fis, KIAA1102 protein764212390_atAB007923KIAA0477 gene product765212538_atAL576253KIAA1058 protein766212543_atU83115.1non-lens β gamma-crystallin like767212589_atBG168858oncogene TC21768212593_s_atN92498FLJ22071 fis, clone HEP11691769212724_atBG054844ras homolog gene family, member E770212741_atAA923354monoamine oxidase A771212823_s_atAU147160KIAA0599 protein772212841_s_atAI692180PTPRF interacting protein, bindingprotein 2773212850_s_atAA584297low density lipoprotein receptor-relatedprotein 4774212875_s_atAP001745chrom 21 open reading frame 25775212992_atAI935123ESTs776213029_atAL110126DKFZp564H1916777213032_atAL110126DKFZp564H1916778213050_atAA594937KIAA0633 protein779213068_atAI146848dermatopontin780213071_atAI146848dermatopontin781213106_atAI76968823664 and 23905 mRNA sequence782213110_s_atAW052179collagen, type IV, alpha 5783213122_atAI096375KIAA1750 protein, partial cds784213135_atU90902clone 23612785213194_atBF059159Hs.301198 roundabout homolog786213227_atBE879873progesterone membrane binding787213280_atAK000478FLJ20471 fis788213285_atAV691491DKFZp564D1462789213287_s_atX14487acidic (type I) cytokeratin 10790213353_atBF693921ATP-binding cassette, sub-family A,member 5791213359_atW74620heterogenous nuclearribonucleoprotein D792213369_atAI825832DKFZp434A132793213375_s_atN80918Novel gene mapping to chomo 13794213397_x_atAI761728DnaJ homolog, subfam C, mem 8795213451_x_atBE044614tenascin XB796213456_atAI927000DKFZP564D206797213506_atBE965369proteinase activated receptor-2798213556_atBE673445chromosome 19, cosmid R28379799213618_atAB011152KIAA0580800213695_atL48516PON3paraoxonase 3801213707_s_atNM_005221DLX5distal-less homeo box 5802213725_x_atAI693140DKFZp586F071803213737_x_atAI620911804213800_atX04697complement factor H 38-kDa N-term805213817_atAL049435DKFZp586B0220806213820_s_atT54159hypothetical protein MGC10327807213844_atNM_019102HOXA5homeo box A5808213848_atAI655015DKFZp586F2224809213891_s_atAI927067FLJ11918 fis810213924_atBF476502hypothetical protein FLJ11585811213929_atAL050204DKFZp586F1223812213933_atAW242315DKFZp586M0723813213935_atAF007132clone 23551814213942_atAL134303DKFZp547K034_r1815213992_atAI889941collagen, type IV, alpha 6816213994_s_atAI885290spondin 1, extracellular matrix817214058_atM19720L-myc protein818214132_atBG232034ATP synthase, H+ transporting,mitochondrial F1 complex, gammapolypeptide 1819214164_x_atBF752277adaptor-related protein complex 1,gamma 1 subunit820214234_s_atX90579cyp related pseudogene821214235_atX90579cyp related pseudogene822214247_s_atAU148057regulated in glioma823214598_atAL049977DKFZp564C122824214696_atAF070569clone 24659825214753_atAW084068BRCA2 region826214823_atAF033199C2H2 zinc finger protein pseudogene827215034_s_atAI189753FLJ13302 fis828215062_atAL390143DKFZp547N074829215129_atAJ000008C2 domain containing PI3-kinase830215239_x_atAU132789zinc finger protein 273831215243_s_atAF099730GJB3connexin 31832215388_s_atX56210FHR-1complement Factor H-related 1833215513_atAF241534HYMAIhydatidiform mole assoc & imprinted834215516_atAC005048BAC clone CTB-15P3 fr 7q22-q31.2835215536_atDMA, DMB, HLA-Z1, IPP2, LMP2,TAP1, LMP7, TAP2, DOB, DQB2 ANDRING8, 9, 13 and 14 genes836215659_atAK025174FLJ21521837215704_atAL356504clone RP1-14N1 chrom 1q21.1-21.3838215726_s_atM22976cytochrome b5839215867_x_atAL050025DKFZp564D066840216199_s_atAL109942clone RP3-473J16 chrom 6q25.3-26841216268_s_atU77914soluble protein Jagged842216333_x_atM25813unidentified gene complementary toP450c21843216379_x_atAK000168CD24 signal transducer844216594_x_atS68290chlordecone reductase homolog845216699_s_atL10038pre-pro-protein for kallikrein846217087_atAF005081xp32skin-specific protein847217528_atBF003134ESTs848217707_x_atAI535683ESTs849217901_atBF031829desmoglein 2850217961_atNM_017875FLJ20551hypothetical protein FLJ20551851218002_s_atNM_004887SCYB14small inducible cytokine subfamily B(Cys-X-Cys), member 14852218170_atNM_016048LOC51015CGI-111 protein853218180_s_atNM_022772FLJ21935hypothetical protein FLJ21935854218186_atNM_020387CATX-8CATX-8 protein855218237_s_atNM_030674ATA1amino acid transporter system A1856218326_s_atNM_018490GPR48G protein-coupled receptor 48857218434_s_atNM_023928hypothetical protein FLJ12389858218451_atNM_022842hypothetical protein FLJ22969859218499_atNM_016542LOC51765serinethreonine protein kinase MASK860218546_atNM_024709hypothetical protein FLJ14146861218552_atNM_018281hypothetical protein FLJ10948862218603_atNM_016217LOC51696hHDC for homolog of Dros headcase863218644_atNM_016445PLEK2pleckstrin 2 (mouse) homolog864218651_s_atNM_018357hypothetical protein FLJ11196865218657_atNM_016339LOC51195Link guanine nucleotide exchangefactor II866218675_atNM_020372LOC57100organic cation transporter867218677_atNM_020672LOC57402S100-type calcium binding protein A14868218692_atNM_017786hypothetical protein FLJ20366869218704_atNM_017763hypothetical protein FLJ20315870218718_atNM_016205PDGFCplatelet derived growth factor C871218736_s_atNM_017734hypothetical protein FLJ20271872218751_s_atNM_018315hypothetical protein FLJ11071873218764_atNM_024064hypothetical protein MGC5363874218792_s_atNM_017688hypothetical protein FLJ20150875218796_atNM_017671hypothetical protein FLJ20116876218804_atNM_018043hypothetical protein FLJ10261877218806_s_atAF118887VAV-3VAV-3 protein878218807_atNM_006113VAV3vav 3 oncogene879218816_atNM_018214hypothetical protein FLJ10775880218820_atNM_020215hypothetical protein DKFZp761F2014881218849_s_atNM_006663RAIRelA-associated inhibitor882218854_atNM_013352SART-2squamous cell carcinoma antigen recogby T cell883218901_atNM_020353LOC57088phospholipid scramblase 4884218919_atNM_024699hypothetical protein FLJ14007885218963_s_atNM_015515DKFZP434G032 protein886219010_atNM_018265hypothetical protein FLJ10901887219054_atNM_024563hypothetical protein FLJ14054888219064_atNM_030569hypothetical protein MGC10848889219073_s_atNM_017784hypothetical protein FLJ20363890219090_atNM_020689NCKX3sodium calcium exchanger891219093_atNM_017933hypothetical protein FLJ20701892219095_atNM_005090PLA2G4Bphospholipase A2, group IVB893219109_atNM_024532hypothetical protein FLJ22724894219115_s_atNM_014432IL20RAinterleukin 20 receptor, alpha895219229_atNM_013272SLC21A11solute carrier family 21, member 11896219232_s_atNM_022073hypothetical protein FLJ21620897219263_atNM_024539hypothetical protein FLJ23516898219298_atNM_024693hypothetical protein FLJ20909899219313_atNM_017577hypothetical protein DKFZp434C0328900219368_atNM_021963NAP1L2nucleosome assembly protein 1-like 2901219388_atNM_024915hypothetical protein FLJ13782902219395_atNM_024939hypothetical protein FLJ21918903219410_atNM_018004hypothetical protein FLJ10134904219411_atNM_024712hypothetical protein FLJ13824905219423_x_atNM_003790TNFRSF12TNF receptor superfamily, member 12906219436_s_atNM_016242LOC51705endomucin-2907219461_atAJ236915pak5 protein908219476_atNM_024115hypothetical protein MGC4309909219489_s_atNM_017821hypothetical protein FLJ20435910219497_s_atNM_022893BCL11AB-cell CLLlymphoma 11A911219518_s_atNM_025165hypothetical protein FLJ22637912219528_s_atNM_022898BCL11BB-cell lymphomaleukaemia 11B913219532_atNM_022726ELOVL4Stargardt disease 3914219597_s_atNM_017434DUOX1dual oxidase 1915219689_atNM_020163LOC56920semaphorin sem2916219729_atNM_016307PRX2paired related homeobox protein917219764_atNM_007197FZD10frizzled (Drosophila) homolog 10918219806_s_atNM_020179FN5FN5 protein919219825_atNM_019885P450RAI-2cyt P450 retinoid metabolizing920219908_atNM_014421DKK2dickkopf homolog 2921219936_s_atNM_023915GPR87G protein-coupled receptor 87922219938_s_atNM_024430PSTPIP2proline-serine-threonine phosphataseinteracting protein 2923219970_atNM_017655hypothetical protein FLJ20075924219976_atNM_015888HOOK1hook1 protein925219995_s_atNM_024702hypothetical protein FLJ13841926219998_atNM_014181HSPC159 protein927220016_atNM_024060hypothetical protein MGC5395928220056_atNM_021258IL22Rinterleukin 22 receptor929220066_atNM_022162NOD2NOD2 protein930220076_atNM_019847ANKHankylosis, progressive homolog931220161_s_atNM_019114EHM2EHM2 gene932220225_atNM_016358IRX4iroquois homeobox protein 4933220230_s_atNM_016229LOC51700cytochrome b5 reductase b5R.2934220262_s_atNM_023932hypothetical protein MGC2487935220266_s_atNM_004235KLF4Kruppel-like factor 4 (gut)936220289_s_atNM_017977hypothetical protein FLJ10040937220318_atNM_017957FLJ20778epsin 3938220413_atNM_014579ZIP2zinc transporter939220414_atNM_017422CLSPcalmodulin-like skin protein940220428_atNM_015717LANGERINLangerhans cell specific c-type lectin941220432_s_atNM_016593CYP39A1oxysterol 7alpha-hydroxylase942220518_atNM_024801hypothetical protein FLJ21551943220625_s_atAF115403Ets transcription factor ESE-2b944220723_s_atNM_025087hypothetical protein FLJ21511945220724_atNM_025087hypothetical protein FLJ21511946220911_s_atNM_025081KIAA1305 protein947220945_x_atNM_018050hypothetical protein FLJ10298948221127_s_atNM_006394RIGregulated in glioma949221215_s_atNM_020639ANKRD3ankyrin repeat domain 3950221541_atAL136861DKFZp434B044951221667_s_atAF133207protein kinase H11952221747_atAL046979DKFZp586K0617953221748_s_atAL046979DKFZp586K0617954221760_atBG287153mannosidase, α, class 1A, member 1955221796_atAA707199Similar to hyp protein FLJ20093956221841_s_atBF514079Kruppel-like factor 4 (gut)957221854_atAI378979ESTs958221922_atAW195581KIAA0761959221950_atAI478455empty spiracles homolog 2960222043_atAI982754clusterin961222102_atNM_000847GSTA3glutathione S-transferase A3962222236_s_atAK000253FLJ20246 fis963222256_s_atAK000550FLJ20543 fis964222288_atAI004009ESTs965222290_atAA731709ESTs966222303_atAV700891ESTs967266_s_atL33930CD24 signal transducer96833322_i_atX57348clone 911296933323_r_atX57348clone 911297035666_atU38276semaphorin III family homolog97138340_atAB014555KIAA0655 protein97239248_atN74607za55a01.s197340016_g_atAB002301KIAA0303 gene97440093_atX83425LU gene Lutheran blood groupglycoprotein97540472_atAF007155clone 23763 unknown mRNA97657588_atR62432yg52e11.s197760474_atAA469071ne17f11.s197891826_atAI219073qg16e08.x1979PBGD980MART1981Me20m982MAGE-3983Me20m forward primer984Me20m reverse primer985Me20m probe986PBGD forward primer987PBGD reverse primer988PBGD probe999Tyrosinase1000Tyrosinase Forward1001Tyrosinase Reverse1002Tyrosinase probe1003MART1 Forward1004MART1 Reverse1005MART1 Probe1006HMB45 Forward1007gp100 Reverse1008gp100 Probe1009PLAB Forward1010PLAB Reverse1011PLAB Probe


REFERENCES CITED

W O 96/29430


2003/0232356


2002/0160382


2002/0155480


2002/0110820


2002/0098535


2003/0059431


2003/0049701


2002/0048784


2003/014283


2003/0013097


U.S. Pat. No. 6,500,919


U.S. Pat. No. 4,715,545


U.S. Pat. No. 5,210,015


U.S. Pat. No. 5,348,856


U.S. Pat. No. 5,411,876


U.S. Pat. No. 5,413,924


U.S. Pat. No. 5,487,972


U.S. Pat. No. 5,512,437


U.S. Pat. No. 5,512,444


U.S. Pat. No. 5,525,494


U.S. Pat. No. 5,550,044


U.S. Pat. No. 5,612,201


U.S. Pat. No. 5,759,783


U.S. Pat. No. 5,804,375


U.S. Pat. No. 5,844,075


U.S. Pat. No. 5,844,092


U.S. Pat. No. 5,872,225


U.S. Pat. No. 5,910,574


U.S. Pat. No. 5,969,124


U.S. Pat. No. 5,985,619


U.S. Pat. No. 5,994,102


U.S. Pat. No. 6,025,474


U.S. Pat. No. 6,057,105


U.S. Pat. No. 6,107,476


U.S. Pat. No. 6,153,388


U.S. Pat. No. 6,235,525


U.S. Pat. No. 6,291,430


U.S. Pat. No. 6,326,145


U.S. Pat. No. 6,338,947


U.S. Pat. No. 6,369,211


U.S. Pat. No. 6,403,341


U.S. Pat. No. 6,426,217


U.S. Pat. No. 6,465,181


U.S. Pat. No. 6,475,727


U.S. Pat. No. 6,500,638


U.S. Pat. No. 6,521,227


U.S. Pat. No. 6,527,560


U.S. Pat. No. 6,599,699


Abrahamsen et al. (2004) Quantification of melanoma mRNA markers in sentinel nodes: pre-clinical evaluation of a single-step real-time reverse transcriptase-polymerase chain reaction assay J Molec Diag 6:253-259


Abrahamsen et al. (2005) Pathologic assessment of melanoma sentinel nodes: a role for molecular analysis using quantitative real-time reverse transcription-PCR for MARTl and tyrosinase messenger RNA Clin Cancer Res 11:1425-1433


Adema et al. (1994) Molecular characterization of the melanocyte lineage specific antigen gplOO J Biol Chem 69:20126-20133


Ahmed et al. (2004) Cdc42-dependent nuclear translocation of non-receptor tyrosine kinase, ACK Biochem. Biophys. Res. Commun. 314:571-579


Aitken et al. (2004) Population screening for melanoma: current evidence and a community based randomized trial. In “Textbook of Melanoma” Ed. by J F Thompson, D L Morton and B B R Kroon. Martin and Dunitz


Akula et al. (2004) Raf promotes human herpesvirus-8 (HHV-8/KSHV) infection Oncogene 23:5227-5241


Alexa et al. (2004) Contribution of distinct structural elements to activation of calpain by Ca2+ ions J. Biol. Chem. 279:201 18-20126


Altznauer et al. (2004) Calpain-1 regulates Bax and subsequent Smac-dependent caspase-3 activation in neutrophil apoptosis J. Biol. Chem. 279:5947-5957


Antonescu et al. (2002) Molecular diagnosis of clear cell sarcoma: detection of EWS-ATFl and MITF-M transcripts and histopathological and ultrastructural analysis of 12 cases J. Mol. Diag. 4:44-52


Arozarena et al. (2004) Activation of H-Ras in the endoplasmic reticulum by the RasGRF family guanine nucleotide exchange factors MoI. Cell. Biol. 24:1516-1530


Bae et al. (2003) Gene expression patterns as potential molecular biomarkers for malignant transformation in human keratinocytes treated with MNNG, arsenic or a metal mixture Toxicol Sci 74:32-42


Balch et al. (2001) Final version of the American Joint Committee on cancer staging system for cutaneous melanoma J Clin Oncol 19:3635-3648


Baldi et al. (2003) Identification of genes down-regulated during melanoma progression: a cDNA array study Exp Dermatol 12:213-218


Barac et al. (2004) Direct interaction of p21 -activated kinase 4 with PDZ-RhoGEF, a G protein-linked Rho guanine exchange factor J. Biol. Chem. 279:6182-6189


Bendotti et al. (2004) Activated p38MAPK is a novel component of the intracellular-inclusions found in human amyotrophic lateral sclerosis and mutant SODl transgenic mice J. Neuropathol. Exp. Neurol. 63:113-119


Bittner et al. (2000) Molecular classification of cutaneous malignant melanoma by gene expression profiling Nature 406:536-540


Bostick et al. (1999) Prognostic significance of occult metastases detected by sentinel lymphadenectomy and reverse transcriptase-polymerase chain reaction in early-stage melanoma patients J. Clin. Oncol. 17:3238-3244


Brown et al. (2003) MIC-I Serum Level and Genotype: Associations with Progress and Prognosis of Colorectal Carcinoma Clin. Cancer Res. 9:2642-2650


Buckhaults et al. (2001) Secreted and cell surface genes expressed in benign and malignant colorectal tumors Cancer Res. 61:6996-7001


Burzio et al. (2002) Biochemical and cellular characteristics of the four splice variants of protein kinase CKl alpha from zebrafish (Danio rerio) J. Cell. Biochem. 86:805-814


Buchs et al. (2004) Normal p21 Ras/MAP kinase pathway expression and function in PBMC from patients with polycystic ovary disease Int. J. Mol. Med. 13:595-599


Cancer Facts and Figures 2003. American Cancer Society, 2003.


Care et al. (1996) HOXB7 constitutively activates basic fibroblast growth factor in melanomas MoI. Cell. Biol. 16:4842-4851


Carlson et al. (2003) Biomarkers in melanoma: staging, prognosis and detection of early metastasis Expert Rev MoI Diagn 3:89-116


Catala et al. (2002) Genetic control of caudal development Clin. Genet. 61:89-96


Chen et al. (2003) Molecular characterization of human ninein protein: two distinct subdomains required for centrosomal targeting and regulating signals in cell cycle Biochem. Biophys. Res. Commun. 308:975-983


Karan et al. (2003) Dysregulated expression of MIC-1/PDF in human prostate tumor cells Biochim. Biophys. Res. Commun. 305:598-604


Chen et al. (2004) MEKl,2 response element mediates angiotensin Il-stimulated plasminogen activator inhibitor-1 promoter activation Blood 103:2636-2644


Chen et al. (2004) Cdc42 and the actin-related protein/neural Wiskott-Aldrich syndrome protein network mediate cellular invasion by Cryptosporidium parvum Infect. Immun. 72:3011-3021


Cheung et al. (2001) Detection of microscopic disease: comparing histology, immunocytology, and RT-PCR of tyrosine hydroxylase, GAGE, and MAGE Med. Ped. Oncol. 36:210-212


Ching et al. (2003) Identification of an autoinhibitory domain of p21-activated protein kinase 5 J. Biol. Chem. 278:33621-33624


Clark et al. (2003) The secreted protein discovery initiative (SPDI), a large-scale effort to identify novel human secreted and transmembrane proteins: a bioinformatics assessment Genome Res. 13:2265-2270


Cochran et al. (2001) Current practice and future directions in pathology and laboratory evaluation of the sentinel node Ann Surg Oncol. 8(9 Suppl):13S-17S


Cochran et al. (2004) Optimized assessment of sentinel lymph nodes for metastatic melanoma: implications for regional surgery and overall treatment planning Ann. Surg. Oncol. 11:156S-161S


Cook et al (2003) The development of optimal pathological assessment of sentinel lymph nodes for melanoma J. Pathol. 200:314-319


Cronin et al. (2004) Measurement of gene expression in archival paraffin-embedded tissues: development and performance of a 92-gene reverse transcriptase-polymerase chain reaction assay Am J Pathol 164:35-42


Davids et al. (2003) Accurate molecular detection of melanoma nodal metastases: an assessment of multimarker assay specificity, sensitivity, and detection rate MoI. Pathol. 56:43-51


de Braud et al. (2003) Malignant melanoma Critical Review In Oncology/Hematology 47:35-63


Diego et al. (2003) Prognostic Significance of Reverse Transcriptase-Polymerase Chain Reaction-Negative Sentinel Nodes in Malignant Melanoma Ann. Surg. Oncol. 10:396-402


Ducy et al. (2000) The family of bone morphogenetic proteins Kidney int. 57:2207-2214


Dwivedi et al. (2004) Protein kinase A in postmortem brain of depressed suicide victims: altered expression of specific regulatory and catalytic subunits Biol. Psychiatry 55:234-243


Edgar et al. (2002) Cloning and tissue distribution of three murine alpha/beta hydrolase fold protein cDNAs Biophys. Biochim. Res. Comm. 292:617-625


Encinas et al. (2004) Tyrosine 981, a novel ret autophosphorylation site, binds c-Src to mediate neuronal survival J. Biol. Chem. 279:18262-18269


Esler et al. (2001) A portrait of Alzheimer secretases—new features and familiar faces Science 293:1449-1454


Evellin et al. (2002) Stimulation of phospholipase C-epsilon by the M3 muscarinic acetylcholine receptor mediated by cyclic AMP and the GTPase Rap2B J. Biol. Chem. 277:16805-16813


Fenner et al. (1998) MSGl (melanocyte-specific gene 1): mapping to chromosome XqI 3.1, genomic organization, and promoter analysis Genomics 51:401-407


Fogel et al. (2003) Ll adhesion molecule (CD171) in development and progression of human malignant melanoma Cancer Letters 189:237-247


Fujii et al. (2004) Am. J. Physiol. Cell Physiol. 287:C200-C208


Gangemi et al. (2004) Regulatory genes controlling cell fate choice in embryonic and adult neural stem cells J Neurochem 89:286-306


Giancotti et al. (1999) Integrin signaling Science 285:1028-1032


Golubovskaya et al. (2004) Cloning and characterization of the promoter region of human focal adhesion kinase gene: nuclear factor kappa B andp53 binding sites Biochim. Biophys. Acta 1678:111-125


Gosmanov et al. (2004) Impaired expression and insulin-stimulated phosphorylation of Akt-2 in muscle of obese patients with atypical diabetes Am. J. Physiol. Endocrinol. Metab. 287:E8-E15


Goydos et al. (2003) Patterns of recurrence in patients with melanoma and histologically negative but RT-PCR-positive sentinel lymph nodes J. Am. Coll. Surg. 196:196-204


Grimsley et al. (2004) Dockl80 and ELMOl proteins cooperate to promote evolutionarily conserved Rac-dependent cell migration J. Biol. Chem. 279:6087-6097


Gronholm et al. (2003) Merlin links to the cAMP neuronal signaling pathway by anchoring the RIbeta subunit of protein kinase A J. Biol. Chem. 278:41167-41172


Guan et al. (2003) ASC/TMS1, a caspase-1 activating adaptor, is down regulated by aberrant methylation in human melanoma Int J Cancer 107:202-208


Gustafson et al. (2004) Bcr-Abl Regulates Protein Kinase Ci (PKCt) Transcription via an Elkl Site in the PKCi Promoter J. Biol. Chem. 279:9400-9408


Gutzmer et al. (2002) Specificity of tyrosinase and HMB45 PCR in the detection of melanoma metastases in sentinel lymph node biopsies Histopathol 41:510-518


Haendeler et al. (2003) GITI mediates Src-dependent activation of phospholipase Cgamma by angiotensin II and epidermal growth factor J. Biol. Chem. 278:49936-49944


Hafher et al. (2003) Loss of EphB6 expression in metastatic melanoma Int. J. Oncol. 23:1553-1559


Haqq et al. (2005) The gene expression signature of melanoma progression Proc Natl Acad Sci USA 102:6092-6097


Haspel et al (2003) Front. Biosci. 8:S1210-S1225


Hendrix et al. (2002) Cancer Res 62:665-668


Henshall et al. (2003) Cancer Res. 63:4196-4203


Hilgard et al. (2004) Am. J. Physiol. Gastrointest. Liver Physiol. 287:G192-G201


Hipfel et al. (1998) RNA isolation from human skin tissues for colorimetric differential display J Biochem Biophys Method 37:131-135


Hipfel et al. (2000) Br. J. Cancer 82:1149-1157


Hiraga et al. (1997) Virchows Archiv. 431:45-51


Hisaoka et al. (2002) J. Pathol. 197:661-667


Hoek et al. (2004) Expression profiling reveals novel pathways in the transformation of melanocytes to melanomas Cancer Res 64:5270-5282


Hoon et al. (2001) J. Invest. Dermatol. 117:375-378


Hoon et al. (2004) Profiling epigenetic inactivation of tumor suppressor genes in tumor and plasma from cutaneous melanoma patients Oncogene 23:4014-4022


Izard et al. (2004) Nature 427:171-175


Jaffer et al. (2002) Int. J. Biochem. Cell Biol. 34:713-717


Kadaja et al. (2004) Oncogene 23:2523-2530


Kam et al. (2004) Neuropathol. Appl. Neurobiol. 30:225-232


Kamholz et al. (1996) Proc. Natl. Acad. Sci. USA 83:4962-4966


Kammula et al. (2004) Serial follow-up and prognostic significance of reverse transcriptase-polymerase chain reaction-staged sentinel lymph nodes from melanoma patients J Clin Oncol 22:3989-3996


Kaneda et al. (2002) Int. J. Cancer 100:57-62


Kikuchi et al. (2003) An N-terminal fragment of ProSAAS (a granin-like neuroendocrine peptide precursor) is associated with tau inclusions in Pick's disease Biochem. Biophys. Res. Commun. 308:646-654


Kirchhoff et al. (2004) J. Virol. 78:6864-6874


Kitano et al. (2003) Mol. Biol. Evol. 20:1281-1289


Kuo et al. (2003) Prediction of disease outcome in melanoma patients by molecular analysis of paraffin-embedded sentinel lymph nodes J Clin Oncol 21:3566-3572


Lee et al. (2004) J. Biol. Chem. 279:6834-6839


Lee et al. (2004) J. Neurosci. 24:2304-2312


Li et al. (1995) Proc. Natl. Acad. Sci. USA 92:121180-12184


Li et al. (2004) J. Biol. Chem. 279:15938-15945


Li et al. (2004) J. Biol. Chem. 279:20401-20410


Liu et al (2003) Cancer Res. 63:5034-5040


Liu et al. (1992) J. Biol. Chem. 267:15829-15835


Liu et al. (2003) Macrophage inhibitory cytokine 1 reduces cell adhesion and induces apoptosis in prostate cancer cells Cancer Res 63:5034-40


Luftner et al. (2003) Plasma levels of HER-2/neu, tumor type M2 pyruvate kinase and its tyrosine-phosphorylated metabolite in advanced breast cancer Anticancer Res. 23(2A):991-997


Luo et al. (2001) Human prostate cancer and benign prostatic hyperplasia: molecular dissection by gene expression profiling Cancer Res 61:4683-4688


Luthi et al. (2003) Exp. Hematol. 31:150-158


MacDougall et al. (2003) J. Clin. Endocrinol. Metab. 88:2194-2205


Majumder et al. (2004) Nat. Med. 10:594-601


Mandelcorn-Monson et al. (2003) J. Invest. Dermatol. 121:550-556


Marchetti et al. (2003) J. Cell. Biochem. 88:865-872


Maresh et al. (1994) DNA Cell. Biol. 13:87-95


Marlow et al. (2003) Biochem. Biophys. Res. Commun. 305:502-509


McGregor et al. (1999) Proc. Natl. Acad. Sci. USA 96:4540-4545


McMasters (2003) Molecular staging of melanoma: sensitivity, specificity and the search of clinical significance Ann Surg Oncol 10:336-337


Menez et al. (2004) Oncogene 23:2630-2639


Messina et al. (1999) Pathologic examination of the sentinel lymph node in malignant melanoma Am J Surg Pathol 23:686-690


Monaco (2004) Evidence regarding a role fro CDK5 dysregulation in Alzheimer's disease Curr Alzheimer Res 1:33-38


Morton et al. (1992) Technical details of intraoperative lymphatic mapping for early stage melanoma Arch Surg 127:392-399


Nakamura et al. (2003) Quantitative analysis of macrophage inhibitory cytokine-1 (MIC-I) gene expression in human prostatic tissues Br. J. Cancer 88:1101-1104


Nishihara et al. (2004) Cyclic AMP promotes cAMP-responsive element-binding protein-dependent induction of cellular inhibitor of apoptosis protein-2 and suppresses apoptosis of colon cancer cells through ERK1/2 and p38 MAPK J. Biol. Chem. 279:26176-26183


Nomura et al. (2004) Identification of a novel domain of Ras and Rapl that directs their differential subcellular localizations!. Biol. Chem. 279:22664-22673


Oda et al. (2003) CrkL directs ASAPl to peripheral focal adhesions J. Biol. Chem. 278:6456-6460


Okada et al. (2001) Genetic detection of lymph node micrometastases inpatients with gastric carcinoma by multiple-marker reverse transcriptase-polymerase chain reaction assay Cancer 92:2056-2064


Okami et al. (2001) Genetic detection for micrometastasis in lymph node of biliary tract carcinoma Clin. Cancer Res. 6:2326-2332


Ooka et al. (2000) Selection of mRNA markers for detection of lymph node micrometastases in breast cancer patients Oncol. Rep. 7:561-566


Oury et al. (2004) ATP augments von Willebrand factor-dependent shear-induced platelet aggregation through Ca2+-calmodulin and myosin light chain kinase activation J. Biol. Chem. 279:26266-26273


Palmieri et al. (2001) Detection of occult melanoma cells in paraffin-embedded histologically negative sentinel lymph nodes using a reverse transcriptase polymerase chain reaction assay J. Clin. Oncol. 19:1437-1443


Paralkar et al. (1998) Cloning and characterization of a novel member of the transforming growth factor-beta/bone morphogenetic protein family J. Biol. Chem. 273:13760-13767


Pastorino et al. (2004) BACE (beta-secretase) modulates the processing of APLP2 in vivo MoI. Cell. Neurosci. 25:642-649


Patel et al. (2003) Cadherin switching in ovarian cancer progression Int. J. Cancer 106:172-177


Pitsi et al. (2004) Presenilin 1 stabilizes the C-terminal fragment of the amyloid precursor protein independently of gamma-secretase activity J. Biol. Chem. 279:25333-25338


Masters et al. (1985) Amyloid plaque core protein in Alzheimer disease and Down syndrome Proc. Natl. Acad. Sci. U.S.A. 82:4245-4249


Polyak et al. (1997) A model for p53-induced apoptosis Nature 389:300-305


Pontow et al. (2004) Actin cytoskeletal reorganizations and coreceptor-mediated activation of rac during human immunodeficiency virus-induced cell fusion J. Virol. 78:7138-7147


Prichard et al. (2003) The role of molecular staging in malignant melanoma Eur. J. Surg. Oncol. 29:306-314


Qi et al. (2004) α-Chimaerin exists in a functional complex with the Cdk5 kinase in brain FEBS Lett. 561:177-180


Qi et al. (2004) Essential Role of p38 {gamma} in K-Ras Transformation Independent of Phosphorylation J. Biol. Chem. 279:22138-22144


Qin et al. (2004) p53-independent NOXA induction overcomes apoptotic resistance of malignant melanomas MoI Cancer Therap 3:895-902


Raas-Rothschild et al. (2002) A PEX6-defective peroxisomal biogenesis disorder with severe phenotype in an infant, versus mild phenotype resembling Usher syndrome in the affected parents Am. J. Hum. Genet. 70:1062-1068


Raich et al. (1986) Molecular cloning and complete primary sequence of human erythrocyte porphobilinogen deaminase Nucl. Acids Res. 14:5955-5968


Ray et al. (1997) AIMl, a novel non-lens member of the betagamma-crystallin superfamily, is associated with the control of tumorigenicity in human malignant melanoma Proc. Natl. Acad. Sci. USA 94:3229-3234


Reifenberger et al. (2004) Frequent alterations of Ras signaling pathway genes in sporadic malignant melanomas hit. J. Cancer 109:377-384


Reintgen et al. (2004) The staging of malignant melanoma and the Florida Melanoma Trial Ann. Surg. Oncol. 11(3 Suppl):186S-191S


Rliee et al. (2004) MEK is a key modulator for TLR5-induced interleukin-8 and MIP3alpha gene expression in non-transformed human colonic epithelial cells J. Biol. Chem. 279:25179-25188


Riccioni et al. (2002) The sentinel lymph node in melanoma: utilization of molecular biology (RT-PCR) to detect occult metastases Pathologica 94:190-195


Rimboldi et al. (2003) Detection of micrometastasis in sentinel lymph nodes from melanoma patients: direct comparison of multimarker molecular and immunopathological methods Melanoma Res 13:511-520


Ring et al. (1998) Five SWI/SNF-related, matrix-associated, actin-dependent regulator of chromatin (SMARC) genes are dispersed in the human genome Genomics 51:140-143


Ryden et al. (1996) Expression of mRNA for the neurotrophin receptor trkC in neuroblastomas with favourable tumour stage and good prognosis Br. J. Cancer 74:773-779


Saito et al. (2004) Immunohistochemical diagnosis of a rare case of epithelioid malignant peripheral nerve sheath tumor with multiple metastases Jpn. J. Ophthalmol. 48:199-207


Sakwe et al. (2004) Involvement of protein kinase C-alpha and -epsilon in extracellular Ca(2+) signalling mediated by the calcium sensing receptor Exp. Cell Res. 297:560-573


Salazar-Onfray et al. (2002) Tissue distribution and differential expression of melanocortin 1 receptor, a malignant melanoma marker Br. J. Cancer 87:414-422


Salazar-Onfray et al. (2002) Tissue distribution and differential expression of melanocortin 1 receptor, a malignant melanoma marker Br J Cancer 87:414-422


Sasaki et al. (2004) BRAF point mutations in primary melanoma show different prevalences by subtype J. Invest. Dermatol. 123:177-183


Satyamoorthy et al. (2002) A versatile method for the removal of melanin from ribonucleic acids in melanocytic cells Mel. Res. 12:449-452


Schechtman et al. (2004) A critical intramolecular interaction for protein kinase Cepsilon translocation J. Biol. Chem. 279:15831-15840


Schmuth et al. (2004) The effect of LXR activators on AP-I proteins in keratinocytes J. Invest. Dermatol. 123:41-48


Segal et al. (2003) Classification of clear-cell sarcoma as a subtype of melanoma by genomic profiling J. Clin. Oncol. 21:1775-1781


Sells et al. (1997) Human p21-activated kinase (Pakl) regulates actin organization in mammalian cells Curr. Biol. 7:202-210


Seykora et al. (2003) Gene expression profiling of melanocytic lesions Am J Dermatopathol 25:6-11


Shimizu et al. (1999) High expression pf macrophage migration inhibitory factor in human melanoma cells and is role in tumor cell growth and angiogenesis Biochem Biophys Res Commun 264:751-758


Shirotani et al. (2004) Immature nicastrin stabilizes APH-I independent of PEN-2 and presenilin: identification of nicastrin mutants that selectively interact with APH-I J. Neurochem. 89:1520-1527


Shivers et al. (1998) Molecular staging of malignant melanoma: correlation with clinical outcome JAMA 280:1410-1415


Smith et al. (1997) Chromosomal localization of three human dual specificity phosphatase genes (DUSP4, DUSP6, and DUSP7) Genomics 42:524-7


Starz et al. (2003) Tyrosinase RT-PCR as a supplement to histology for detecting melanoma and nevus cells in paraffin sections of sentinel lymph nodes Mod Pathol 16:920-929


Stieber et al. (2003) Molecular basis for the different activation kinetics of the pacemaker channels HCN2 and HCN4 J. Biol. Chem. 278:33672-33680


Stoletov et al. (2004) Nek and Crk mediate distinct VEGF-induced signaling pathways that serve overlapping functions in focal adhesion turnover and integrin activation Exp. Cell Res. 295:258-268


Strausberg et al. (2002) Generation and initial analysis of more than 15,000 full-length human and mouse cDNA sequences Proc. Natl. Acad. Sci. USA 99:16899-16903


Su et al. (2001) Evaluation of acute hepatic failure treated at the Department of Medicine III, Kyushu University Hospital: indications for living-donor liver transplantation Cancer Res. 61:7388-7993


Suzuki et al. (2000) Power spectral analysis of R-R interval variability before and during the sinusoidal heart rate pattern in fetal lambs Int. J. Oncol. 15:1227-1232


Swiatek et al. (2004) Regulation of casein kinase I epsilon activity by Wnt signaling J. Biol. Chem. 279:13011-13017


Szebeni et al. (2003) Role of protein kinase CK2 phosphorylation in the molecular chaperone activity of nucleolar protein b23 J. Biol. Chem. 278:9107-9115


Taback et al. (2000) The clinical utility of multimarker RT-PCR in the detection of occult metastasis in patients with melanoma Recent Results Cancer Res 158:78-92


Takeuchi et al. (2004) Prognostic significance of molecular upstaging of paraffin-embedded sentinel lymph nodes in melanoma patients J Clin Oncol 22:2671-2680


The Washington University-Merck EST Project Hillier et al. (1995)


Thies et al. (2002) Overexpression of the cell adhesion molecule Ll is associated with metastasis in cutaneous malignant melanoma Eur J Cancer 38:1708-1716


Tokuo et al. (2004) Myosin X transports Mena/VASP to the tip of filopodia Biochem. Biophys. Res. Commun. 319:214-220


Tremuth et al. (2004) A fluorescence cell biology approach to map the second integrin-binding site of talin to a 130-amino acid sequence within the rod domain J. Biol. Chem. 279:22258-22266


Tsutsumi et al. (2003) Regulation of cell proliferation by autocrine motility factor/phosphoglucose isomerase signaling J. Biol. Chem. 278:32165-32172


Tusher et al. (2001) Significance analysis of microarrays applied to the ionizing radiation response Proc Natl Acad Sci USA 98:5116-5121


Van Impe et al. (2003) The Nucleo-cytoplasmic actin-binding protein CapG lacks a nuclear export sequence present in structurally related proteins J. Biol. Chem. 278:17945-17952


Vandesompele et al. (2002) Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes Genome Biol 3:1-11


Wang et al. (2001) Optimal procedure for extracting RNA from human ocular tissues and expression profiling of the congenital glaucoma gene FOXCl using quantitative RT-PCR MoL Vision 7:89-94


Wang et al. (2002) The third activity for lysyl hydroxylase 3: galactosylation of hydroxylysyl residues in collagens in vitro Matrix Biol. 21:559-566


Wang et al. (2004) Gene expression profiles and molecular markers to predict recurrence of Dukes' B colon cancer J. Clin Oncol 22:1564-1571


Weeraratna (2004) Generation and analysis of melanoma SAGE libraries: SAGE advice on the melanoma transcriptome Oncogene 23:2264-2274


Weiser et al. (2001) Induction of MAGE-3 expression in lung and esophageal cancer cells Ann. Thorac. Surg. 71:295-301


Welk et al. (2001) Identification and characterization of the gene encoding human cytoplasmic polyadenylation element binding protein Gene 263:113-20.


Welsh et al. (2003) Large-scale delineation of secreted protein biomarkers overexpressed in cancer tissue and serum Proc Natl Acad Sci USA 100:3410-3415


Wilson et al. (2000) An early requirement for FGF signaling in the acquisition of neural cell fate in the chick embryo Curr Bio 10:421-429


Woo et al. (2004) Resveratrol inhibits phorbol myristate acetate-induced matrix metalloproteinase-9 expression by inhibiting JNK and PKC delta signal transduction Oncogene 23:1845-1853


Wrightson et al. (2001) Reverse transcriptase-polymerase chain reaction (RT-PCR) analysis of nonsentinel nodes following completion lymphadenectomy for melanoma J. Surg. Res. 98:47-51


Xu et al. (2003) Transforming growth factor-betal stimulated protein kinase B serine-473 and focal adhesion kinase tyrosine phosphorylation dependent on cell adhesion in human hepatocellular carcinoma SMMC-7721 cells Biochem. Biophys. Res. Commun. 312:388-396


Xu et al. (2003) Expression of neurotrophin receptor Trk-C in nevi and melanomas J Cutan Pathol 30:318-322


Yamanaka et al. (1999) Expression of MAGE genes in renal cell carcinoma Int. J. MoI. Med. 2:57-60


Yamauchi et al. (2003) Neurotrophin 3 activation of TrkC induces Schwann cell migration through the c-Jun N-terminal kinase pathway Proc Natl Acad Sci USA 100:14421-14426


Yang et al. (2003) Macrophage inhibitory cytokine-1: a novel biomarker for p53 pathway activation MoI Cancer Therapy 2:1023-1029


Yannoni et al. (2004) P66ShcA interacts with MAPKAP kinase 2 and regulates its activity FEBS Lett. 564:205-211


Yoshimatsu et al. (1998) Expression of the melanoma antigen-encoding gene in human lung cancer J. Surg. Oncol. 67:126-129


Yu et al. (1999) Detection of microscopic melanoma metastases in sentinel lymph nodes Cancer 86:617-627


Yu et al. (2004) A minimal length between tau exon 10 and 11 is required for correct splicing of exon 10 J. Neurochem. 90: 164-172


Zatti et al. (2004) The presenilin 2 M239I mutation associated with familial Alzheimer's disease reduces Ca2+ release from intracellular stores Neurobiol. Dis. 15:269-278


Zhang et al. (2003) Negative regulation of T cell antigen receptor-mediated Crk-L-C3G signaling and cell adhesion by Cbl-b J. Biol. Chem. 278:23978-23983


Zhang et al. (2004) Characterization of the cAMP-dependent protein kinase catalytic subunit Cgamma expressed and purified from sf9 cells Protein Expr. Purif. 35:156-169


Zhang et al. (2004a) Hsp90/p50cdc37 is required for mixed-lineage kinase (MLK) 3 signaling J. Biol. Chem. 279:19457-19463


Zhou et al. (2004) A novel crosstalk mechanism between nuclear receptor-mediated and growth factor/Ras-mediated pathways through PNRC-Grb2 interaction Oncogene 23:5394-5404

Claims
  • 1. A method of identifying a melanoma comprising the steps of a. obtaining a tissue sample; and b. measuring the expression levels in the sample of genes encoding mRNA corresponding to PLAB (SEQ ID NO: 1) and LlCAM (SEQ ID NO: 2); or PLAB, LlCAM and NTRK3 (SEQ ID NO: 3) wherein the gene expression levels above pre-determined cut-off levels are indicative of the presence of a melanoma in the sample.
  • 2. The method of claim 1 further comprising measuring the expression level of a gene encoding tyrosinase (SEQ ID NO: 999).
  • 3. The method of claim 1 further comprising measuring the expression level of a gene constitutively expressed in the sample.
  • 4. The method of claim 3 wherein the gene encodes PBGD (SEQ ID NOs: 979).
  • 5. The method of claim 1 further comprising measuring the expression levels of at least one gene encoding an mRNA corresponding to a psid selected from the group consisting of SEQ ID NOs: 29-978.
  • 6. The method of claim 1, 2, 3, 4 or 5 wherein the sample is obtained from a lymph node.
  • 7. The method of claim 6 wherein the lymph node is a sentinel lymph node.
  • 8. The method of claim 1, 2, 3, 4 or 5 wherein the sample is obtained from a biopsy.
  • 9. The method of claim 1, 2, 3, 4 or 5 wherein the method is performed intra-operatively.
  • 10. The method of claim 1, 2, 3, 4 or 5 wherein the melanoma is a micrometastasis.
  • 11. The method of claim 1, 2, 3, 4 or 5 wherein the specificity and sensitivity are sufficient to detect metastasis of melanoma.
  • 12. The method of claim 11, wherein the specificity is at least 95% based on a comparison of hematoxylin and eosin (H&E) and immunohistochemical (IHC) negative nodes.
  • 13. The method of claim 11 wherein the specificity is at least 97% based on a comparison of H&E and IHC negative nodes.
  • 14. The method of claim 11 wherein the specificity is at least 99% based on a comparison of H&E and IHC negative nodes.
  • 15. The method of claim 11 wherein the sensitivity is at least at least 80% based on a comparison of hematoxylin and eosin (H&E) and immunohistochemical (IHC) positive nodes.
  • 16. The method of claim 11 wherein the sensitivity is at least 85% based on a comparison of H&E and IHC positive nodes.
  • 17. The method of claim 11 wherein the sensitivity is at least 90% based on a comparison of H&E and IHC positive nodes.
  • 18. The method of claim 11 wherein the specificity and sensitivity are at least 97% based on a comparison of H&E and IHC negative nodes and at least 85% based on a comparison of H&E and IHC positive nodes, respectively.
  • 19. The method of claim 1, 2, 3, 4 or 5 wherein the pre-determined cut-off levels are at least two-fold over-expression in tissue having metastatic melanoma relative to benign melanocyte or normal tissue.
  • 20. The method of claim 1, 2, 3, 4 or 5 wherein gene expression is measured on a microarray or gene chip.
  • 21. The method of claim 1, 2, 3, 4 or 5 wherein gene expression is determined by nucleic acid amplification conducted by polymerase chain reaction (PCR) of RNA extracted from the sample.
  • 22. The method of claim 21 wherein the PCR products comprise at least one of SEQ ID NOs: 25-28.
  • 23. The method of claim 22 wherein the PCR products include fluorophores.
  • 24. The method of claim 23 wherein the fluorophores are selected from the group consisting of Fam, Texas Red, CaI Red, Cl, CyS, and Cy3.
  • 25. The method of claim 24 wherein the fluorophores correspond to PLAB: Fam; LlCAM: Texas Red or CaI Red, tyrosinase: Cl; PBGD: Cy5, where applicable.
  • 26. The method of claim 21 wherein said PCR is reverse transcription polymerase chain reaction (RT-PCR).
  • 27. The method of claim 26, wherein the RT-PCR further comprises one or more internal control reagents.
  • 28. The method of claim 21 wherein RNA is extracted from the sample by: a. homogenizing the sample to produce an homogenate; b. contacting the homogenate with a substrate containing, or to which is affixed, an RNA-binding material; c. allowing the RNA to bind to the RNA binding material; d. washing the substrate under conditions sufficient to remove any contaminants, interferents and un-bound RNA; and e. eluting bound RNA from the substrate.
  • 29. The method of claim 1, 2, 3, 4 or 5 further comprising reducing melanin in the sample.
  • 30. The method of claim 29 wherein melanin concentration is reduced by homogenizing the sample to produce an homogenate and passing the homogenate through a matrix to which melanin adheres, bonds, or is affixed.
  • 31. The method of claim 30 wherein said matrix comprises polymeric beads.
  • 32. The method of claim 30 wherein said matrix comprises silica.
  • 33. The method of claim 28 wherein the RNA is extracted in less than about 8 minutes.
  • 34. The method of claim 28 wherein the RNA is extracted in less than about 6 minutes.
  • 35. The method of claim 1, 2, 3, 4 or 5 wherein gene expression is measured by measuring the protein encoded by the gene.
  • 36. The method of claim 35 wherein the protein is detected by an antibody specific to the protein.
  • 37. A method of identifying a melanoma comprising the steps of a. obtaining a tissue sample; and b. measuring the expression levels in the sample of genes encoding niRNA recognized by the primer/probe sets selected from the group consisting of SEQ ID NOs: 4-6 or SEQ ID NOs: 7-9 and SEQ ID NOs: 10-12 or SEQ ID NOs: 13-15; or SEQ ID NOs: 4-6 or SEQ ID NOs: 7-9 and SEQ ID NOs: 10-12 or SEQ ID NOs: 13-15 and SEQ ID NOs: 16-18 wherein the gene expression levels above pre-determined cut-off levels are indicative of the presence of a melanoma in the sample.
  • 38. The method of claim 37 further comprising measuring the expression level of a gene encoding tyrosinase (SEQ ID NO: 999).
  • 39. The method of claim 37 further comprising measuring the expression level of a gene constitutively expressed in the sample.
  • 40. The method of claim 39 wherein the gene encodes PBGD (SEQ ID NO: 979).
  • 41. The method of claim 37 further comprising measuring the expression levels of at least one gene encoding an mRNA corresponding to a psid selected from the group consisting of SEQ ID NOs: 29-978.
  • 42. The method of claim 37, 38, 39, 40 or 41 wherein the sample is obtained from a lymph node.
  • 43. The method of claim 42 wherein the lymph node is a sentinel lymph node.
  • 44. The method of claim 37, 38, 39, 40 or 41 wherein the sample is obtained from a biopsy.
  • 45. The method of claim 37, 38, 39, 40 or 41 wherein the method is performed intra-operatively.
  • 46. The method of claim 37, 38, 39, 40 or 41 wherein the melanoma is a micrometastasis.
  • 47. The method of claim 37, 38, 39, 40 or 41 wherein the specificity and sensitivity are sufficient to detect metastasis of melanoma.
  • 48. The method of claim 47, wherein the specificity is at least 95% based on a comparison of hematoxylin and eosin (H&E) and immunohistochemical (IHC) negative nodes.
  • 49. The method of claim 47 wherein the specificity is at least 97% based on a comparison of H&E and IHC negative nodes.
  • 50. The method of claim 47 wherein the specificity is at least 99% based on a comparison of H&E and IHC negative nodes.
  • 51. The method of claim 47 wherein the sensitivity is at least at least 80% based on a comparison of hematoxylin and eosin (H&E) and immunohistochemical (IHC) positive nodes.
  • 52. The method of claim 47 wherein the sensitivity is at least 85% based on a comparison of H&E and IHC positive nodes.
  • 53. The method of claim 47 wherein the sensitivity is at least 90% based on a comparison of H&E and IHC positive nodes.
  • 54. The method of claim 47 wherein the specificity and sensitivity are at least 97% based on a comparison of H&E and IHC negative nodes and at least 85% based on a comparison of H&E and IHC positive nodes, respectively.
  • 55. The method of claim 37, 38, 39, 40 or 41 wherein the pre-determined cut-off levels are at least two-fold over-expression in tissue having metastatic melanoma relative to benign melanocyte or normal tissue.
  • 56. The method of claim 37, 38, 39, 40 or 41 wherein gene expression is measured on a microarray or gene chip.
  • 57. The method of claim 37, 38, 39, 40 or 41 wherein gene expression is determined by nucleic acid amplification conducted by polymerase chain reaction (PCR) of RNA extracted from the sample.
  • 58. The method of claim 57 wherein the PCR products comprise at least one of SEQ ID NOs: 25-28.
  • 59. The method of claim 57 wherein the PCR products include fluorophores.
  • 60. The method of claim 59 wherein the fluorophores are selected from the group consisting of Fam, Texas Red, CaI Red, Cl, Cy5 and Cy3.
  • 61. The method of claim 60 wherein the fluorophores correspond to PLAB: Fam; LlCAM: Texas Red or CaI Red, tyrosinase: Cl; PBGD: Cy5, where applicable.
  • 62. The method of claim 57 wherein said PCR is reverse transcription polymerase chain reaction (RT-PCR).
  • 63. The method of claim 62, wherein the RT-PCR further comprises one or more internal control reagents.
  • 64. The method of claim 57 wherein RNA is extracted from the sample by: a. homogenizing the sample to produce an homogenate; b. contacting the homogenate with a substrate containing, or to which is affixed, an RNA-binding material; c. allowing the RNA to bind to the RNA binding material; d. washing the substrate under conditions sufficient to remove any contaminants, interferents and un-bound RNA; and e. eluting bound RNA from the substrate.
  • 65. The method of claim 37, 38, 39, 40 or 41 further comprising reducing melanin in the sample.
  • 66. The method of claim 65 wherein melanin concentration is reduced by homogenizing the sample to produce an homogenate and passing the homogenate through a matrix to which melanin adheres, bonds, or is affixed.
  • 67. The method of claim 66 wherein the matrix comprises polymeric beads.
  • 68. The method of claim 66 wherein the matrix comprises silica.
  • 69. The method of claim 64 wherein the RNA is extracted in less than about 8 minutes.
  • 70. The method of claim 64 wherein the RNA is extracted in less than about 6 minutes.
  • 71. The method of claim 37, 38, 39, 40 or 41 wherein gene expression is measured by measuring the protein encoded by the gene.
  • 72. The method of claim 71 wherein the protein is detected by an antibody specific to the protein.
  • 73. A method of distinguishing a malignant melanocyte from a benign melanocyte comprising the steps of a. obtaining a tissue sample; and b. measuring the expression levels in the sample of genes encoding PLAB (SEQ ID NO: 1) and LlCAM (SEQ ID NO: 2); or PLAB, LlCAM and NTRK3 (SEQ ID NO: 3) wherein the gene expression levels above pre-determined cut-off levels are indicative of the presence of a malignant melanocyte in the sample.
  • 74. The method of claim 73 further comprising measuring the expression level of a gene encoding tyrosinase (SEQ ID NO: 999).
  • 75. The method of claim 73 further comprising measuring the expression level of a gene constitutively expressed in the sample.
  • 76. The method of claim 75 wherein the gene encodes PBGD (SEQ ID NO: 979).
  • 77. The method of claim 73 further comprising measuring the expression levels of at least one gene encoding an mRNA corresponding to a psid selected from the group consisting of SEQ ID NOs: 29-978.
  • 78. The method of claim 73, 74, 75, 76 or 77 wherein the sample is obtained from a lymph node.
  • 79. The method of claim 78 wherein the lymph node is a sentinel lymph node.
  • 80. The method of claim 73, 74, 75, 76 or 77 wherein the sample is obtained from a biopsy.
  • 81. The method of claim 73, 74, 75, 76 or 77 wherein the method is performed intra-operatively.
  • 82. The method of claim 73, 74, 75, 76 or 77 wherein the melanoma is a micrometastasis.
  • 83. The method of claim 73, 74, 75, 76 or 77 wherein the specificity and sensitivity are sufficient to detect metastasis of melanoma.
  • 84. The method of claim 83, wherein the specificity is at least 95% based on a comparison of hematoxylin and eosin (H&E) and immunohistochemical (IHC) negative nodes.
  • 85. The method of claim 83 wherein the specificity is at least 97% based on a comparison of H&E and IHC negative nodes.
  • 86. The method of claim 83 wherein the specificity is at least 99% based on a comparison of H&E and IHC negative nodes.
  • 87. The method of claim 83 wherein the sensitivity is at least at least 80% based on a comparison of hematoxylin and eosin (H&E) and immunohistochemical (IHC) positive nodes.
  • 88. The method of claim 83 wherein the sensitivity is at least 85% based on a comparison of H&E and IHC positive nodes.
  • 89. The method of claim 83 wherein the sensitivity is at least 90% based on a comparison of H&E and IHC positive nodes.
  • 90. The method of claim 83 wherein the specificity and sensitivity are at least 97% based on a comparison of H&E and IHC negative nodes and at least 85% based on a comparison of H&E and IHC positive nodes, respectively.
  • 91. The method of claim 73, 74, 75, 76 or 77 wherein the pre-determined cut-off levels are at least two-fold over-expression in tissue having metastatic melanoma relative to benign melanocyte or normal tissue.
  • 92. The method of claim 73, 74, 75, 76 or 77 wherein gene expression is measured on a microarray or gene chip.
  • 93. The method of claim 73, 74, 75, 76 or 77 wherein gene expression is determined by nucleic acid amplification conducted by polymerase chain reaction (PCR) of RNA extracted from the sample.
  • 94. The method of claim 93 wherein the PCR products comprise at least one of SEQ ID NOs: 25-28.
  • 95. The method of claim 93 wherein the PCR products include fluorophores.
  • 96. The method of claim 95 wherein the fluorophores are selected from the group consisting of Fam, Texas Red, CaI Red, Cl, Cy5 and Cy3.
  • 97. The method of claim 96 wherein the PCR product, if present, is identified by the fluorescence pattern of PLAB: Fam; LlCAM: Texas Red or CaI Red, tyrosinase: Cl; PBGD: Cy5, where applicable.
  • 98. The method of claim 93 wherein the PCR is reverse transcription polymerase chain reaction (RT-PCR).
  • 99. The method of claim 98, wherein the RT-PCR further comprises one or more internal control reagents.
  • 100. The method of claim 93 wherein RNA is extracted from the sample by: a. homogenizing the sample to produce an homogenate; b. contacting the homogenate with a substrate containing, or to which is affixed, an RNA-binding material; c. allowing the RNA to bind to the RNA binding material; d. washing the substrate under conditions sufficient to remove any contaminants, interferents and un-bound RNA; and e. eluting bound RNA from the substrate.
  • 101. The method of claim 73, 74, 75, 76 or 77 further comprising reducing melanin in the sample.
  • 102. The method of claim 101 wherein melanin concentration is reduced by homogenizing the sample to produce an homogenate and passing the homogenate through a matrix to which melanin adheres, bonds, or is affixed.
  • 103. The method of claim 102 wherein the matrix comprises polymeric beads.
  • 104. The method of claim 102 wherein the matrix comprises silica.
  • 105. The method of claim 100 wherein the RNA is extracted in less than about 8 minutes.
  • 106. The method of claim 100 wherein the RNA is extracted in less than about 6 minutes.
  • 107. The method of claim 73, 74, 75, 76 or 77 wherein gene expression is measured by measuring the protein encoded by the gene.
  • 108. The method of claim 107 wherein the protein is detected by an antibody specific to the protein.
  • 109. A method of distinguishing a malignant melanocyte from a benign melanocyte comprising the steps of a. obtaining a tissue sample; and b. measuring the expression levels in the sample of genes recognized by the primer/probe sets selected from the group consisting of SEQ ID NOs: 4-6 or SEQ ID NOs: 7-9 and SEQ ID NOs: 10-12 or SEQ ID NOs: 13-15; or SEQ ID NOs: 4-6 or SEQ ID NOs: 7-9 and SEQ ID NOs: 10-12 or SEQ ID NOs: 13-15 and SEQ ID NOs: 16-18 wherein the gene expression levels above pre-determined cut-off levels are indicative of the presence of a malignant melanocyte in the sample.
  • 110. The method of claim 109 further comprising measuring the expression level of a gene encoding tyrosinase (SEQ ID NO: 999).
  • 111. The method of claim 109 further comprising measuring the expression level of a gene constitutively expressed in the sample.
  • 112. The method of claim 110 wherein the gene encodes PBGD (SEQ ID NO: 979).
  • 113. The method of claim 109 farther comprising measuring the expression levels of at least one gene encoding an mRNA corresponding to a psid selected from the group consisting of SEQ ID NOs: 29-978.
  • 114. The method of claim 109, 110, 111, 112 or 113 wherein the sample is obtained from a lymph node.
  • 115. The method of claim 114 wherein the lymph node is a sentinel lymph node.
  • 116. The method of claim 109, 110, 111, 112 or 113 wherein the sample is obtained from a biopsy.
  • 117. The method of claim 109, 110, 111, 112 or 113 wherein the method is performed intra-operatively.
  • 118. The method of claim 109, 110, 111, 112 or 113 wherein the melanoma is a micrometastasis.
  • 119. The method of claim 109, 110, 111, 112 or 113 wherein the specificity and sensitivity are sufficient to detect metastasis of melanoma.
  • 120. The method of claim 119, wherein the specificity is at least 95% based on a comparison of hematoxylin and eosin (H&E) and immunohistochemical (IHC) negative nodes.
  • 121. The method of claim 119 wherein the specificity is at least 97% based on a comparison of H&E and IHC negative nodes.
  • 122. The method of claim 119 wherein the specificity is at least 99% based on a comparison of H&E and IHC negative nodes.
  • 123. The method of claim 119 wherein the sensitivity is at least at least 80% based on a comparison of hematoxylin and eosin (H&E) and immunohistochemical (IHC) positive nodes.
  • 124. The method of claim 119 wherein the sensitivity is at least 85% based on a comparison of H&E and IHC positive nodes.
  • 125. The method of claim 119 wherein the sensitivity is at least 90% based on a comparison of H&E and IHC positive nodes.
  • 126. The method of claim 119 wherein the specificity and sensitivity are at least 97% based on a comparison of H&E and IHC negative nodes and at least 85% based on a comparison of H&E and IHC positive nodes, respectively.
  • 127. The method of claim 109, 110, 111, 112 or 113 wherein the pre-determined cut-off levels are at least two-fold over-expression in tissue having metastatic melanoma relative to benign melanocyte or normal tissue.
  • 128. The method of claim 109, 110, 111, 112 or 113 wherein gene expression is measured on a microarray or gene chip.
  • 129. The method of claim 109, 110, 111, 112 or 113 wherein gene expression is determined by nucleic acid amplification conducted by polymerase chain reaction (PCR) of RNA extracted from the sample.
  • 130. The method of claim 129 wherein the PCR products comprise at least one of SEQ ID NOs: 25-28.
  • 131. The method of claim 129 wherein the PCR products include fluorophores.
  • 132. The method of claim 131 wherein the fluorophores are selected from the group consisting of Fam, Texas Red, CaI Red, Cl, Cy5 and Cy3.
  • 133. The method of claim 132 wherein the PCR product, if present, is identified by the fluorescence pattern of PLAB: Fam; LlCAM: Texas Red or CaI Red, tyrosinase: Cl; PBGD: Cy5, where applicable.
  • 134. The method of claim 128 wherein the PCR is reverse transcription polymerase chain reaction (RT-PCR).
  • 135. The method of claim 134, wherein the RT-PCR further comprises one or more internal control reagents.
  • 136. The method of claim 129 wherein RNA is extracted from the sample by: a. homogenizing the sample to produce an homogenate; b. contacting the homogenate with a substrate containing, or to which is affixed, an RNA-binding material; c. allowing the RNA to bind to the RNA binding material; d. washing the substrate under conditions sufficient to remove any contaminants, interferents and un-bound RNA; and e. eluting bound RNA from the substrate.
  • 137. The method of claim 109, 110, 111; 112 or 113 further comprising reducing melanin in the sample.
  • 138. The method of claim 136 wherein melanin concentration is reduced by homogenizing the sample to produce an homogenate and passing the homogenate through a matrix to which melanin adheres, bonds, or is affixed.
  • 139. The method of claim 136 wherein the matrix comprises polymeric beads.
  • 140. The method of claim 136 wherein the matrix comprises silica.
  • 141. The method of claim 136 wherein the RNA is extracted in less than about 8 minutes.
  • 142. The method of claim 136 wherein the RNA is extracted in less than about 6 minutes.
  • 143. The method of claim 109, 110, 111, 112 or 113 wherein gene expression is measured by measuring the protein encoded by the gene.
  • 144. The method of claim 143 wherein the protein is detected by an antibody specific to the protein.
  • 145. A method of determining patient treatment protocol comprising the steps of a. obtaining a tissue sample from the patient; and b. measuring the expression levels in the sample of genes encoding PLAB (SEQ ID NO:1) and LlCAM (SEQ ID NO:2); or PLAB, LlCAM and NTRK3 (SEQ ID NO:3) wherein the gene expression levels above pre-determined cut-off levels are indicative of the presence of a melanoma in the sample.
  • 146. The method of claim 145 further comprising measuring the expression level of a gene encoding tyrosinase (SEQ ID NO: 999).
  • 147. The method of claim 145 further comprising measuring the expression level of a gene constitutively expressed in the sample.
  • 148. The method of claim 147 wherein the gene encodes PBGD (SEQ ID NO: 979).
  • 149. The method of claim 145 further comprising measuring the expression levels of at least one gene encoding an mRNA corresponds to a psid selected from the group consisting of SEQ ID NOs: 29-978.
  • 150. The method of claim 145, 146, 147, 148 or 149 wherein the sample is obtained from a lymph node.
  • 151. The method of claim 150 wherein the lymph node is a sentinel lymph node.
  • 152. The method of claim 145, 146, 147, 148 or 149 wherein the sample is obtained from a biopsy.
  • 153. The method of claim 145, 146, 147, 148 or 149 wherein the method is performed intra-operatively.
  • 154. The method of claim 145, 146, 147, 148 or 149 wherein the melanoma is a micrometastasis.
  • 155. The method of claim 145, 146, 147, 148 or 149 wherein the specificity and sensitivity are sufficient to detect metastasis of melanoma.
  • 156. The method of claim 155, wherein the specificity is at least 95% based on a comparison of hematoxylin and eosin (H&E) and immunohistochemical (IHC) negative nodes.
  • 157. The method of claim 155 wherein the specificity is at least 97% based on a comparison of H&E and IHC negative nodes.
  • 158. The method of claim 155 wherein the specificity is at least 99% based on a comparison of H&E and IHC negative nodes.
  • 159. The method of claim 155 wherein the sensitivity is at least at least 80% based on a comparison of hematoxylin and eosin (H&E) and immunohistochemical (IHC) positive nodes.
  • 160. The method of claim 155 wherein the sensitivity is at least 85% based on a comparison of H&E and IHC positive nodes.
  • 161. The method of claim 155 wherein the sensitivity is at least 90% based on a comparison of H&E and IHC positive nodes.
  • 162. The method of claim 155 wherein the specificity and sensitivity are at least 97% based on a comparison of H&E and IHC negative nodes and at least 85% based on a comparison of H&E and IHC positive nodes, respectively.
  • 163. The method of claim 145, 146, 147, 148 or 149 wherein the pre-determined cut-off levels are at least two-fold over-expression in tissue having metastatic melanoma relative to benign melanocyte or normal tissue.
  • 164. The method of claim 145, 146, 147, 148 or 149 wherein gene expression is measured on a microarray or gene chip.
  • 165. The method of claim 145, 146, 147, 148 or 149 wherein gene expression is determined by nucleic acid amplification conducted by polymerase chain reaction (PCR) of RNA extracted from the sample.
  • 166. The method of claim 165 wherein the PCR products comprise at least one of SEQ ID NOs: 25-28.
  • 167. The method of claim 165 wherein the PCR products include fluorophores.
  • 168. The method of claim 167 wherein the fluorophores are selected from the group consisting of Fam, Texas Red, CaI Red, Cl, Cy5 and Cy3.
  • 169. The method of claim 168 wherein the Fluorophores correspond to PLAB: Fam; LlCAM: Texas Red or CaI Red, tyrosinase: Cl; PBGD: Cy5, where applicable.
  • 170. The method of claim 152 wherein the PCR is reverse transcription polymerase chain reaction (RT-PCR).
  • 171. The method of claim 170, wherein the RT-PCR further comprises one or more internal control reagents.
  • 172. The method of claim 165 wherein RNA is extracted from the sample by: a. homogenizing the sample to produce an homogenate; b. contacting the homogenate with a substrate containing, or to which is affixed, an RNA-binding material; c. allowing the RNA to bind to the RNA binding material; d. washing the substrate under conditions sufficient to remove any contaminants, interferents and un-bound RNA; and e. eluting bound RNA from the substrate.
  • 173. The method of claim 145, 146, 147, 148 or 149 further comprising reducing melanin in the sample.
  • 174. The method of claim 173 wherein melanin concentration is reduced by homogenizing the sample to produce an homogenate and passing the homogenate through a matrix to which melanin adheres, bonds, or is affixed.
  • 175. The method of claim 174 wherein the matrix comprises polymeric beads.
  • 176. The method of claim 174 wherein the matrix comprises silica.
  • 177. The method of claim 172 wherein the RNA is extracted in less than about 8 minutes.
  • 178. The method of claim 172 wherein the RNA is extracted in less than about 6 minutes.
  • 179. The method of claim 145, 146, 147, 148 or 149 wherein gene expression is measured by measuring the protein encoded by the gene.
  • 180. The method of claim 179 wherein the protein is detected by an antibody specific to the protein.
  • 181. A method of determining patient treatment protocol comprising the steps of a. obtaining a tissue sample from the patient; and b. measuring the expression levels in the sample of genes identified by the primer/probe sets selected from the group consisting of SEQ ID NOs: 4-6 or SEQ ID NOs: 7-9 and SEQ ID NOs: 10-12 or SEQ ID NOs: 13-15; or SEQ ID NOs: 4-6 or SEQ ID NOs: 7-9 and SEQ ID NOs: 10-12 or SEQ ID NOs: 13-15 and SEQ ID NOs: 16-18 wherein the gene expression levels above pre-determined cut-off levels are indicative of the presence of a melanoma in the sample.
  • 182. The method of claim 181 further comprising measuring the expression level of a gene encoding tyrosinase (SEQ ID NO: 999).
  • 183. The method of claim 181 further comprising measuring the expression level of a gene constitutively expressed in the sample.
  • 184. The method of claim 181 wherein the gene encodes PBGD (SEQ ID NO: 979).
  • 185. The method of claim 184 further comprising measuring the expression levels of at least one gene encoding an mRNA correspond to a psid selected from the group consisting of SEQ ID NOs: 29-978.
  • 186. The method of claim 181, 182, 183, 184 or 185 wherein the sample is obtained from a lymph node.
  • 187. The method of claim 186 wherein the lymph node is a sentinel lymph node.
  • 188. The method of claim 181, 182, 183, 184 or 185 wherein the sample is obtained from a biopsy.
  • 189. The method of claim 181, 182, 183, 184 or 185 wherein the method is performed intra-operatively.
  • 190. The method of claim 181, 182, 183, 184 or 185 wherein the melanoma is a micrometastasis.
  • 191. The method of claim 181, 182, 183, 184 or 185 wherein the specificity and sensitivity are sufficient to detect metastasis of melanoma.
  • 192. The method of claim 191, wherein the specificity is at least 95% based on a comparison of hematoxylin and eosin (H&E) and immunohistochemical (IHC) negative nodes.
  • 193. The method of claim 191 wherein the specificity is at least 97% based on a comparison of H&E and IHC negative nodes.
  • 194. The method of claim 191 wherein the specificity is at least 99% based on a comparison of H&E and IHC negative nodes.
  • 195. The method of claim 191 wherein the sensitivity is at least at least 80% based on a comparison of hematoxylin and eosin (H&E) and immunohistochemical (IHC) positive nodes.
  • 196. The method of claim 191 wherein the sensitivity is at least 85% based on a comparison of H&E and IHC positive nodes.
  • 197. The method of claim 191 wherein the sensitivity is at least 90% based on a comparison of H&E and IHC positive nodes.
  • 198. The method of claim 191 wherein the specificity and sensitivity are at least 97% based on a comparison of H&E and IHC negative nodes and at least 85% based on a comparison of H&E and IHC positive nodes, respectively.
  • 199. The method of claim 181, 182, 183, 184 or 185 wherein the pre-determined cut-off levels are at least two-fold over-expression in tissue having metastatic melanoma relative to benign melanocyte or normal tissue.
  • 200. The method of claim 181, 182, 183, 184 or 185 wherein gene expression is measured on a microarray or gene chip.
  • 201. The method of claim 181, 182, 183, 184 or 185 wherein gene expression is determined by nucleic acid amplification conducted by polymerase chain reaction (PCR) of RNA extracted from the sample.
  • 202. The method of claim 201 wherein the PCR products comprise at least one of SEQ ID NOs: 25-28.
  • 203. The method of claim 201 wherein the PCR products include fluorophores.
  • 204. The method of claim 203 wherein the fluorophores are selected from the group consisting of Fam, Texas Red, CaI Red, Cl, Cy5 and Cy3.
  • 205. The method of claim 204 wherein the Fluorophores correspond to PLAB: Fam; LlCAM: Texas Red or CaI Red, tyrosinase: Cl; PBGD: Cy5, where applicable.
  • 206. The method of claim 201 wherein the PCR is reverse transcription polymerase chain reaction (RT-PCR).
  • 207. The method of claim 206, wherein the RT-PCR further comprises one or more internal control reagents.
  • 208. The method of claim 201 wherein RNA is extracted from the sample by: a. homogenizing the sample to produce an homogenate; b. contacting the homogenate with a substrate containing, or to which is affixed, an RNA-binding material; c. allowing the RNA to bind to the RNA binding material; d. washing the substrate under conditions sufficient to remove any contaminants, interferents and un-bound RNA; and e. eluting bound RNA from the substrate.
  • 209. The method of claim 181, 182, 183, 184 or 185 further comprising reducing melanin in the sample.
  • 210. The method of claim 209 wherein melanin concentration is reduced by homogenizing the sample to produce an homogenate and passing the homogenate through a matrix to which melanin adheres, bonds, or is affixed.
  • 211. The method of claim 210 wherein the matrix comprises polymeric beads.
  • 212. The method of claim 210 wherein the matrix comprises silica.
  • 213. The method of claim 208 wherein the RNA is extracted in less than about 8 minutes.
  • 214. The method of claim 208 wherein the RNA is extracted in less than about 6 minutes.
  • 215. The method of claim 181, 182, 183, 184 or 185 wherein gene expression is measured by measuring the protein encoded by the gene.
  • 216. The method of claim 215 wherein the protein is detected by an antibody specific to the protein.
  • 217. A composition comprising at least one primer/probe set selected from the group consisting of: SEQ ID NOs: 4-6, SEQ ID NOs: 7-9, SEQ ID NO:46-48, SEQ ID NOs: 13-15, SEQ ID NOs: 16-18, SEQ ID NOs: 19-21, and SEQ ID NOs: 22-24.
  • 218. A composition comprising at least one amplicon selected from the group consisting of SEQ ID NOs: 25-28.
  • 219. A kit for conducting an assay to determine the presence of melanoma in a tissue sample comprising: nucleic acid amplification and detection reagents.
  • 220. The kit of claim 219 wherein the reagents comprise primers having sequences for detecting the expression of at least one gene encoding an mRNA selected from the group consisting of SEQ ID NOs: 1-3.
  • 221. The kit of claim 219 comprising RT-PCR reagents.
PCT Information
Filing Document Filing Date Country Kind 371c Date
PCT/US05/22846 6/24/2005 WO 8/16/2006
Provisional Applications (3)
Number Date Country
60582906 Jun 2004 US
60612951 Sep 2004 US
60649725 Feb 2005 US