Patent Application
20150344966
The disclosure generally relates to a molecular classification of disease predisposition and particularly to molecular markers for cancer predisposition and methods of use thereof.
The instant application was filed with a formal Sequence Listing submitted electronically as a text file. This text file, which is named “1500-02-3U-A-2015-05-26-SEQ-LIST-PRJ-BGJ_ST25”, was created on May 26, 2015 and is 1,759,089 bytes in size. Its contents are hereby incorporated by reference herein in their entirety.
Cancer is a major public health problem, accounting for roughly 25% of all deaths in the United States. American Cancer Society, F
The inventors have developed methods utilizing a panel of genes to detect an increased risk of specific cancers in patients whose germline harbors a deficiency in any of these genes.
In one aspect the present disclosure provides a method for diagnosing an increased risk of breast and/or ovarian cancer, which comprises: (1) analyzing a patient sample to detect the presence or absence of a germline deficiency in any of a plurality of genes comprising APC, BRCA1, BRCA2, CDKN2A, EPCAM, MLH1, MSH2, MSH6, MUTYH, PALB2, and PMS2; and either (2)(a) diagnosing an increased risk (e.g., increased hereditary risk) of cancer (e.g., the cancer corresponding to such gene in Table 4) in a patient in whose sample a germline deficiency was detected in any of said plurality of genes; or (2)(b) diagnosing no increased risk (e.g., no increased hereditary risk) of cancer (or to no identified increased risk due to the tested genes) in a patient in whose sample no germline deficiency was detected in all of said plurality of genes.
In another aspect the present disclosure provides a kit comprising: reagents for sequencing DNA molecules comprising one or more exons of a plurality of genes comprising BRCA1, BRCA2, CHEK2, NBN, CDH1, ATM, PALB2, BARD1, MUTYH, CDKN2A, and APC; and instructions for using said reagents. In some embodiments the kit comprises reagents for sequencing a plurality of genes consisting of between 11 and 200 genes, and said plurality of genes comprises BRCA1, BRCA2, CHEK2, NBN, CDH1, ATM, PALB2, BARD1, MUTYH, CDKN2A, and APC. In some embodiments the reagents are PCR primers specific for the plurality of genes. In some embodiments, the reagents are PCR primers specific for the exons (and optionally some certain amount of adjacent intron) of the plurality of genes.
In some embodiments of the above aspects of the disclosure, the plurality of genes further comprises at least 1, 2, 3, 4, 5, 6, 7, 8, or 9 genes chosen from the group consisting of ATM, BARD1, BMPR1A, CDH1, CDK4, CHEK2, TP53, PTEN, RAD51D, SMAD4, and STK11. In some embodiments the plurality of genes further comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, or 12 genes chosen from the group consisting of BLM, CEBPA, FLCN, MEN1, PTCH, RET, SDH5, SDHB, SDHC, SDHD, TMEM127, and VHL. In some embodiments the plurality of genes further comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, or 20 genes chosen from the group consisting of BRAF, BRIP1, FANCA, FANCB, FANCC, FANCD2, FANCE, FANCF, FANCG, FANCI, FANCL, FANCM, KRAS, MLH3, MRE11, NBS1, PIK3CA, PMS1, RAD50, and RAD51C. In some embodiments the plurality of genes further comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, or 54 genes chosen from the group consisting of APC, ATM, BARD1, BLM, BMPR1A, BRAF, BRCA1, BRCA2, BRIP1, CDH1, CDK4, CDKN2A, CEBPA, CHEK2, FANCA, FANCB, FANCC, FANCD2, FANCE, FANCF, FANCG, FANCI, FANCL, FANCM, FLCN, KRAS, MEN1, MLH1, MLH3, MRE11, MSH2, MSH6, MUTYH, NBS1, PALB2, PIK3CA, PMS1, PMS2, PTCH1, PTEN, RAD50, RAD51C, RAD51D, RET, SDHAF2, SDHB, SDHC, SDHD, SMAD4, STK11, EPCAM, TMEM127, TP53, VHL. In some embodiments the plurality of genes further comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, or 54 genes of any of Panels A-Y.
Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing of the present disclosure, suitable methods and materials are described below. In case of conflict, the present specification, including definitions, will control. In addition, the materials, methods, and examples are illustrative only and not intended to be limiting.
Other features and advantages of the disclosure will be apparent from the following Detailed Description, and from the Claims.
The present disclosure is based in part on the discovery that hereditary cancer genes, and germline deficiencies in these genes, are responsible for increases in cancer risk attributable to heredity. The inventors have developed methods applying this discovery, including methods utilizing a panel of genes to detect an increased risk of certain cancers (e.g., as indicated in Table 4). “Hereditary cancer gene” and “HCG” herein refer to a gene wherein germline deficiency in the gene confers an increased risk for cancer. The inventors have discovered specific panels (e.g., pluralities) of HCGs that may be tested in a patient to give a comprehensive diagnosis of the patient's hereditary cancer risk. All of the HCGs in Table 1 below form a panel of HCGs (“Panel A”) useful in the disclosure.
As will be shown in detail throughout this document, subsets of Panel A can also be used in the disclosure. Examples of subsets useful in the present disclosure are shown in Tables 2A to 2D below:
Accordingly, in one aspect the present disclosure provides a method for sequencing nucleic acids. Generally, the method includes at least the following steps: (1) isolating a plurality of nucleic acid molecules from a sample taken from a patient, each nucleic acid molecule comprising (or consisting of or consisting essentially of) between A and B nucleotides in length, said plurality of nucleic acid molecules comprising (e.g., having nucleotide sequences that together comprise) one or more exons of a plurality of genes consisting of between W and X genes, and said plurality of genes comprising at least two genes in any of Panels A-Y; and (2) determining the sequence of said plurality of nucleic acid molecules.
In another aspect the present disclosure provides a method for diagnosing an increased risk of breast and/or ovarian cancer, which comprises: (1) analyzing a patient sample to detect the presence or absence of a germline deficiency (e.g., mutation) in any of a plurality of genes (e.g., consisting of between W and X genes), said plurality of genes comprising at least two genes in any of Panels A-Y; and either (2)(a) diagnosing an increased risk (e.g., increased hereditary risk) of cancer (e.g., the cancer corresponding to the relevant gene in Table 4) in a patient in whose sample a germline deficiency was detected in any of said plurality of genes; or (2)(b) diagnosing no increased risk (e.g., no increased hereditary risk) of cancer (or no identified increased risk due to the tested genes) in a patient in whose sample no germline deficiency was detected in all of said plurality of genes. In some embodiments, the method comprises detecting a germline deficiency in a gene by comparing the sequence determined in (1) with one or more reference sequences, as discussed in more detail below.
In another aspect the present disclosure provides a method for determining whether a patient has an increased risk of cancer, which comprises: (1) determining whether the patient has a germline deficiency in any of a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two genes in any of Panels A-Y; and either (2)(a) correlating a germline deficiency in any of said plurality of genes to an increased risk (e.g., increased hereditary risk) of cancer, or (2)(b) correlating the absence of a germline deficiency in all of said plurality of genes to no increased risk (e.g., no increased hereditary risk) of cancer. In some embodiments of this aspect, the method also comprises (a) isolating a plurality of nucleic acid molecules from a sample taken from a patient, each nucleic acid molecule comprising (or consisting of or consisting essentially of) between A and B nucleotides in length, and said plurality of nucleic acid molecules comprising (e.g., having nucleotide sequences that together comprise) one or more exons of said plurality of genes and (b) determining the sequence of said plurality of nucleic acid molecules. In some embodiments, the method comprises detecting a germline deficiency in a gene by comparing the sequence determined in (b) with one or more reference sequences, as discussed in more detail below.
Thus, the disclosure provides a method for treating a patient comprising (1) analyzing a patient sample to detect the presence or absence of a germline deficiency in any of a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two genes in any of Panels A-Y; and either (2)(a) diagnosing an increased risk (e.g., increased hereditary risk) of cancer (e.g., a particular cancer as indicated in Table 4) in a patient in whose sample a germline deficiency was detected in any of said plurality of genes; or (2)(b) diagnosing no increased risk (e.g., no increased hereditary risk) of cancer (or no identified increased risk due to the tested genes) in a patient in whose sample no germline deficiency was detected in all of said plurality of genes; and (3) recommending, prescribing, or administering a treatment to manage (e.g., reduce) the patient's risk of cancer. In some embodiments, the treatment comprises removing all or part of the organ in which the patient has an increased risk of cancer (e.g., mastectomy, salpingo-oophorectomy, hysterectomy, colectomy, prostatectomy, etc.). In some embodiments the treatment comprises preventive drug treatments (e.g., tamoxifen treatment in patients with increased risk of breast or ovarian cancer).
Another aspect of the present disclosure provides computer program products comprising a computer-usable medium having computer-readable program codes or instructions embodied thereon for enabling a processor to carry out the methods of the disclosure. A related aspect of the present disclosure provides a system for diagnosing an increased likelihood of cancer, the system comprising (1) one or more computer programs for receiving, storing, and/or retrieving test sequence data for a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two genes in any of Panels A-Y; (2) one or more computer programs for querying this test sequence data; (3) optionally one or more computer programs for comparing the test sequence data to one or more reference sequences to determine whether there is a mutation in any of said plurality of genes; (4) one or more computer programs for either (a) diagnosing an increased risk (e.g., increased hereditary risk) of breast and/or ovarian cancer in a patient in whose sample a germline deficiency was detected in any of said plurality of genes, or (b) diagnosing no increased risk (e.g., no increased hereditary risk) of breast and/or ovarian cancer (or no identified increased risk due to the tested genes) in a patient in whose sample no germline deficiency was detected in all of said plurality of genes; and optionally (5) computer program for outputting/displaying this diagnosis. In some embodiments this program for outputting the conclusion may comprise a computer program for informing a health care professional of the conclusion.
In another aspect the disclosure provides a system for sequencing genes in a sample (e.g., tumor sample), comprising: (1) a sample analyzer for sequencing a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two genes in any of Panels A-Y, wherein the sample analyzer contains (a) the sample which is from a patient, (b) genomic DNA from the sample, (c) transcript RNA from the sample, or (d) DNA synthesized from said genomic DNA; (2) one or more computer programs for receiving test sequence data on the plurality of genes; and (3) one or more computer programs for comparing the sequence data to one or more reference sequences. In some embodiments the system comprises a computer program for determining (including quantifying) the patient's degree of risk of cancer based at least in part on the comparison of the test sequence with said one or more reference sequences. Such program may also compare the patient's determined probability of a particular cancer with a reference probability to determine whether the patient has an increased risk of such cancer.
In another aspect the disclosure provides methods combining the genetic analysis as described above with analysis of other cancer risk factors, e.g., a patient's family and/or personal history of cancer. In some embodiments the disclosure provides a method for determining a patient's risk of cancer, which comprises: (1)(a) determining whether the patient has a germline deficiency in any of a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two genes in any of Panels A-Y and (1)(b) assigning a first risk level of cancer (e.g., percentage probability of developing cancer (any cancer or a specific cancer or set of cancers) by a certain age) for the patient based on the presence or absence of such germline deficiency; (2)(a) evaluating the patient's personal and family history risk factors for cancer and (2)(b) assigning a second risk level of cancer for the patient based on the risk factors identified in (2)(a); and either (3)(a) assigning (optionally communicating and/or recording) the higher of the first and second risk levels determined in (1)(b) and (2)(b) to the patient, or (3)(b) assigning (optionally communicating and/or recording) a third risk level of cancer to the patient, wherein the third risk level is a combination of the first and second risk levels determined in (1)(b) and (2)(b). In some embodiments, the first and second risk levels are given approximately the same weight (e.g., within 5% or 10%) in assigning the third risk level. In some embodiments the ratio of the weight given to the first level to the weight given to the second risk level is approximately 1:2, 1:3, 1:4, 1:5, 1:6, 1:7, 1:8, 1:9, 1:10, 2:1, 3:1, 4:1, 5:1, 6:1, 7:1, 8:1, 9:1, 10:1, 2:3, 3:4, 4:5, 5:6, 6:7, 7:8, 8:9, 9:10, 10:11, 3:2, 4:3, 5:4, 6:5, 7:6, 8:7, 9:8, 10:9, 11:10, 3:5, 5:7, 7:9, 9:11, 11:9, 9:7, 7:5, or 5:3. In some embodiments, both the first risk level and the second risk level are communicated (e.g., to the healthcare provider, to the patient, etc.). Personal risk factors may include cancer diagnosis (including age at diagnosis), multiple primary cancers, triple negative breast cancer, ovarian cancer, smoking, age of menopause, age of menarche, positive biopsy, positive pap smear, male breast cancer, enlarged prostate, colon polyps, etc. Family risk factors can include a relative (e.g., first or second degree) with early onset (e.g., before 40, 50, or 60 years of age) cancer, particular ancestries (e.g., Ashkenazi Jewish ancestry), relative with multiple primary cancers, relative with male breast cancer, relative with ovarian cancer, relative with triple negative breast cancer, etc.
In another aspect the disclosure provides compositions for use in the above methods. Such compositions include, but are not limited to: (a) nucleic acid probes hybridizing to a plurality of nucleic acid molecules comprising (e.g., having nucleotide sequences that together comprise) one or more exons of a plurality of genes consisting of between W and X genes, and said plurality of genes comprising at least two genes in any of Panels A-Y; (b) nucleic acid primers and primer pairs suitable for seletively amplifying nucleic acids of (a); (c) antibodies binding immunologically to polypeptides encoded by a plurality of genes consisting of between W and X genes, and said plurality of genes comprising at least two genes in any of Panels A-Y; (d) a probe set comprising (a), (b) and/or (c); (e) a microarray comprising (a), (b), (c), and/or (d).
In another aspect the present disclosure provides a kit comprising: reagents for sequencing nucleic acid molecules comprising one or more exons of a plurality of genes comprising a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two genes in any of Panels A-Y; and instructions for using said reagents. In some embodiments the kit comprises (a), (b), (c), (d), and/or (e) in the preceding paragraph. In some embodiments the reagents are PCR primers specific for the plurality of genes. In some embodiments, the reagents are PCR primers specific for the exons (and optionally some certain amount of adjacent intron) of the plurality of genes (optionally also including polymerase enzyme, deoxynucleotides, buffers, etc.). In some embodiments, the reagents are oligonucleotide probes specific for the exons (and optionally some certain amount of adjacent intron) of the plurality of genes. In some embodiments the reagents (e.g., the primers and/or probes) are packaged into an array (e.g., affixed to a solid support, contained within a reaction volume, etc.).
Several aspects of the disclosure described herein involve a step of correlating a particular assay or analysis result or output (e.g., presence or absence of a germline deficiency in one or more genes of Panel B or Panel N) to some likelihood (e.g., increased, not increased, decreased, etc.) of some clinical feature (e.g., increased risk (e.g., increased hereditary risk) of cancer). Throughout this document, wherever such an aspect is described, an alternative aspect of the disclosure may involve, in addition to or instead of a correlating step, one or both of the following steps: (a) concluding that the patient has or does not have the clinical feature based at least in part on the assay or analysis result; or (b) communicating that the patient has or does not have the clinical feature based at least in part on the assay or analysis result.
By way of illustration, but not limitation, one aspect described in this document is a method for determining whether a patient has an increased risk of cancer, which comprises: (1) determining whether the patient has a germline deficiency in any of a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two genes in any of Panels A-Y; and either (2)(a) correlating a germline deficiency in any of said plurality of genes to an increased risk (e.g., increased hereditary risk) of cancer, or (2)(b) correlating the absence of a germline deficiency in all of said plurality of genes to no increased risk (e.g., no increased hereditary risk) of cancer (or to no identified increased risk due to the tested genes). According to the preceding paragraph, this description of this aspect is understood to include a description of two alternative related aspects. One such embodiment provides a method for determining whether a patient has an increased risk of cancer, which comprises: (1) determining whether the patient has a germline deficiency in any of a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two test genes in any of Panels A-Y; and either (2)(a) concluding the patient an increased risk (e.g., increased hereditary risk) of cancer based at least in part on the presence of a germline deficiency in any of said plurality of genes (or in any of said test genes); or (2)(b) concluding the patient does not have an increased risk (e.g., no increased hereditary risk) of cancer based at least in part on the absence of a germline deficiency in each of said plurality of genes (or in each of said test genes) (or alternatively concluding the patient has no identified increased risk due to the tested genes). Another such embodiment provides a method for determining whether a patient has an increased risk of cancer, which comprises: (1) determining whether the patient has a germline deficiency in any of a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two test genes in any of Panels A-Y; and either (2)(a) communicating (e.g., reporting) that the patient an increased risk (e.g., increased hereditary risk) of cancer based at least in part on the presence of a germline deficiency in any of said plurality of genes (or in any of said test genes); or (2)(b) communicating (e.g., reporting) that the patient does not have an increased risk (e.g., no increased hereditary risk) of cancer based at least in part on the absence of a germline deficiency in each of said plurality of genes (or in each of said test genes) (or alternatively communicating that the patient has no identified increased risk due to the tested genes).
In each embodiment described in this document involving correlating a particular assay or analysis result or output (e.g., presence or absence of a germline deficiency in one or more genes of Panel B or Panel N) to some likelihood (e.g., increased, not increased, decreased, etc.) of some clinical feature (e.g., increased risk (e.g., increased hereditary risk) of cancer), or additionally or alternatively concluding or communicating such clinical feature based at least in part on such particular assay or analysis result, such correlating, concluding or communicating may comprise assigning a risk or likelihood of the clinical feature occurring based at least in part on the particular assay or analysis result. In some embodiments, such risk is a percentage probability of the event or outcome occurring. In some embodiments, the patient is assigned to a risk group (e.g., low risk, intermediate risk, high risk, etc.). In some embodiments “low risk” is any percentage probability below 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, or 50%. In some embodiments “intermediate risk” is any percentage probability above 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, or 50% and below 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, or 75%. In some embodiments “high risk” is any percentage probability above 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95%, or 99%.
As used herein, “communicating” a particular piece of information means to make such information known to another person or transfer such information to a thing (e.g., a computer). In some methods of the disclosure, a patient's qualitative or quantitative risk of cancer (e.g., a specific cancer or syndrome listed in Table 4) is communicated. In some embodiments, the information used to arrive at such a risk prediction (e.g., presence or absence of germline deficiency in one or more genes in Panel B or Panel N) is communicated. This communication may be auditory (e.g., verbal), visual (e.g., written), electronic (e.g., data transferred from one computer system to another), etc. In some embodiments, communicating a cancer risk (e.g., “increased”, “not increased”, “up to X%”, etc.) comprises generating a report that communicates the risk. In some embodiments the report is a paper report, an auditory report, or an electronic record. In some embodiments the report is displayed and/or stored on a computing device (e.g., handheld device, desktop computer, smart device, website, etc.). In some embodiments the cancer risk is communicated to a physician (e.g., a report communicating the risk is provided to the physician). In some embodiments the cancer risk is communicated to a patient (e.g., a report communicating the risk is provided to the patient). Communicating a cancer risk can also be accomplished by transferring information (e.g., data) embodying the risk to a server computer and allowing an intermediary or end-user to access such information (e.g., by viewing the information as displayed from the server, by downloading the information in the form of one or more files transferred from the server to the intermediary or end-user's device, etc.).
Wherever an embodiment of the disclosure comprises concluding some clinical feature (e.g., increased risk of cancer, etc.), this may include in some embodiments a computer program concluding such feature, typically after performing an algorithm that applies information on germline deficiency in HCGs according to the present disclosure.
Various embodiments of the preceding aspects of the disclosure are provided. Unless otherwise stated, the disclosure may apply each of these embodiments to each of the preceding aspects.
In some embodiments, the method or system comprises comparing the sequences determined in an earlier step or other computer program with one or more reference sequences. In some embodiments, the method comprises correlating a difference between the determined sequences and the one or more reference sequences to a mutation in one or more of the genes in the plurality of genes. In some embodiments the system comprises a computer program for determining whether the patient has a mutation in one or more of the genes in the plurality of genes by determining whether there is a difference between the determined sequences and the one or more reference sequences. In some embodiments the reference sequence for any given gene in the panel is any of the sequences corresponding to that gene as shown in Table 3 below:
Table 3 shows how sequence identifiers (i.e., SEQ ID NOs) correspond to different reference sequences useful for the various HCGs in various aspects of the disclosure. As used in Table 3, “transcript variant” (abbreviated “TV” in Table 3) refers to differently spliced transcripts expressed from some genes and the names (e.g., numbers) given these variants in NCBI. In cases where no transcript variant is indicated, this is because NCBI lists only one transcript for the relevant gene. The exon coordinates given in Table 3 indicate where in each relevant sequence the exons are found. The first 500 and last 500 nucleotides of each such sequence are intronic. As used herein, “exon/intron boundary” in one of these sequences means a certain number of nucleotides (e.g., 1, 2, 3, 4, 5, 10, 15, 20, 30, 40, 50, 75, 100 or more) on each side of the transition (e.g., phosphodiester bond) from exon to intron (or from intron to exon) or a portion of the nucleotide sequence of at least a certain length (e.g., 1, 2, 3, 4, 5, 10, 15, 20, 30, 40, 50, 75, 100 or more) comprising the two nucleotides on each side of the transition from exon to intron (or from intron to exon).
In some embodiments of various aspects of the disclosure, a nucleic acid of the disclosure (e.g., in a primer set, in an array, in a kit, etc.) comprises at least 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, or 100 or more nucleotides on each side of such transition. Thus, an oligonucleotide (e.g., primer) according to the disclosure targeting Exon 3 of the APC gene “comprising 10 nucleotides on each side of the 5′ exon/intron boundary of Exon 3 of the APC gene” would comprise nucleotides 491-510 of SEQ ID NO:7, or the following sequence: 5′-ttttatttagAGCTTAACTT-3′ (with lower case letters indicating intronic sequence and capitalized letters indicating exonic sequence). In some embodiments of various aspects of the disclosure, a nucleic acid of the disclosure comprises at least 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, or 100 or more consecutive nucleotides of a nucleotide sequence in a SEQ ID NO including the two nucleotides on each side of such transition. Thus, an oligonucleotide (e.g., primer) according to the disclosure targeting Exon 3 of the APC gene “comprising 18 consecutive nucleotides of SEQ ID NO:7 including the 5′ exon/intron boundary of Exon 3 of the APC gene” would comprise any 18 consecutive nucleotides between (and including) positions 484 and 517 of SEQ ID NO:7, or any 18 consecutive nucleotides of the following sequence: 5′-gtttctattttatttagAGCTTAACTTAGATAGC-3′ (with lower case letters indicating intronic sequence and capitalized letters indicating exonic sequence). At various places in this document Exon 3 of the APC gene is used as an example to illustrate various embodiments of the disclosure. Those skilled in the art, based on the knowledge in the art and the present disclosure (especially Table 3), can readily and unambiguously apply each example to any gene, exon, or sequence disclosed herein.
Germline deficiencies in the genes in Panels A-Y correlate to increased risk of cancer, including particular cancers as summarized in Table 4. Thus, in some embodiments the method of the disclosure comprises correlating a germline deficiency in any particular gene in the plurality of genes to an increased risk of a particular cancer as shown in Table 4. In some embodiments the method comprises diagnosing the patient with an increased risk of a particular cancer (or a particular syndrome) as shown in Table 4 based at least in part on a germline deficiency in any particular gene in the plurality of genes. In some embodiments the method comprises correlating no germline deficiency in any gene in the plurality of genes to no increased risk of any cancer (or to no identified increased risk due to the tested genes). In some embodiments the system of the disclosure comprises a computer program for determining (including quantifying) the patient's degree of risk of cancer (e.g., any particular cancer as shown in Table 4) based at least in part on the comparison of the test sequence with said one or more reference sequences.
In some embodiments the panel of the disclosure to be assessed in a particular patient depends on the specific cancer(s) or syndrome(s) for which the patient is apparently at risk. For example, as shown in Example 2 below, a patient presenting with indicators of HBOC may be tested for a panel of test genes comprising Panel D (or Panel Q) or any subpanel comprising the top 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, or 12 genes of Panel D (or Panel Q). Thus, in some embodiments of the methods and systems described above the patient is identified as having one or more indicators of a syndrome listed in Table 4, or otherwise having one or more indicators of an increased predisposition to one or more of the cancers listed in Table 4, and the patient is tested for a panel comprising genes whose mutations are associated with that syndrome or cancer. In some embodiments an indicator of a particular syndrome listed in Table 4 is present when the patient has one or more of the corresponding cancers listed in Table 4 (e.g., an indicator of Lynch syndrome may be endometrial cancer in the patient).
In some embodiments the genes of Panel Q may be added iteratively to BRCA1 and BRCA2, which may include reflex testing later genes upon determining the patient is negative for earlier genes. In some embodiments the panel of test genes comprises BRCA1, BRCA2 and CHEK2. In some embodiments, the panel of test genes comprises BRCA1, BRCA2, CHEK2; and any one, two or three of ATM, NBN and/or PALB2. In some embodiments, the panel of test genes comprises BRCA1, BRCA2, CHEK2; any one, two or three of ATM, NBN and/or PALB2; and any one or two of BARD1 and/or BRIP1. In some embodiments, the panel of test genes comprises BRCA1, BRCA2, CHEK2; any one, two or three of ATM, NBN and/or PALB2; any one or two of BARD1 and/or BRIP1; and PMS2. In some embodiments, the panel of test genes comprises BRCA1, BRCA2, CHEK2; any one, two or three of ATM, NBN and/or PALB2; any one or two of BARD1 and/or BRIP1; PMS2; and any one, two or three of MSH2, MSH6 and/or TP53. In some embodiments, the panel of test genes comprises BRCA1, BRCA2, CHEK2; any one, two or three of ATM, NBN and/or PALB2; any one or two of BARD1 and/or BRIP1; PMS2; any one, two or three of MSH2, MSH6 and/or TP53; and MUTYH.
In some embodiments, the disclosure provides a method of diagnosing increased risk of breast or ovarian cancer comprising (1) identifying the patient as having at least one indicator of a genetic predisposition to breast or ovarian cancer; (2) assaying a sample from the patient to detect one or more mutations in a plurality of test genes comprising at least 3 (e.g., the top 3, 4, 5, 6, 7, 8, 9, 10, 11 or 12) genes in Panel D; and (3)(a) diagnosing the patient as having an increased risk of breast or ovarian cancer if a mutation is detected in step (2) or (3)(b) diagnosing the patient as not having an increased risk of breast or ovarian cancer if no mutation is detected in step (2).
In some embodiments, the disclosure provides a method of diagnosing increased risk of breast or ovarian cancer comprising (1) identifying the patient as having at least one indicator of a genetic predisposition to breast or ovarian cancer; (2) assaying a sample from the patient to detect one or more mutations in a plurality of test genes comprising at least 3 (e.g., the top 3, 4, 5, 6, 7, 8, 9, 10, 11 or 12) genes in Panel S; and (3)(a) diagnosing the patient as having an increased risk of breast or ovarian cancer if a mutation is detected in step (2) or (3)(b) diagnosing the patient as not having an increased risk of breast or ovarian cancer if no mutation is detected in step (2). In some embodiments the predisposition to be detected and the increased risk diagnosed is to ovarian cancer.
In some embodiments, the disclosure provides a method of diagnosing increased risk of breast or ovarian cancer comprising (1) identifying the patient as having at least one indicator of a genetic predisposition to breast or ovarian cancer; (2) assaying a sample from the patient to detect one or more mutations in a plurality of test genes comprising at least 3 (e.g., the top 3, 4, 5, 6, 7, 8, 9, 10, 11 or 12) genes in Panel T, U, or V; and (3)(a) diagnosing the patient as having an increased risk of breast or ovarian cancer if a mutation is detected in step (2) or (3)(b) diagnosing the patient as not having an increased risk of breast or ovarian cancer if no mutation is detected in step (2). In some embodiments the predisposition to be detected and the increased risk diagnosed is to ovarian cancer.
As used herein, “mutation” refers to a variation in a test sequence from a reference sequence, wherein such variation is known or expected to result in reduced or abolished function of the protein encoded by the relevant gene. The extent to which such a mutation leads to increased risk of cancer will in turn depend on the penetrance of the gene and the effect of the specific variation on the function of the encoded protein. Examples of mutations include variations where large sections of a gene (or an entire gene) are deleted, duplicated or inverted. In some embodiments, these large sections can be several hundred (e.g., 100, 200, 300, 400, 500, 600, 700, 800, 900) to several thousand bases long (e.g., 1,000, 2,000, 3,000, 4,000, 5,000, 6,000, 7,000, 8,000, 9,000, 10,000, 20,000, 30,000, 40,000, 50,000, 60,000, 70,000, 80,000, 90,000, 100,000 or more). Other examples of mutations include variations that result in a truncated protein product, such as nonsense mutations (variations where the codon for an amino acid is replaced by a codon for a translation stop) and frameshift mutations (variations adding or deleting a number of bases that is not a multiple of three). In some embodiments these truncating mutations result in loss of at least 1%, 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 60%, 70%, 80%, 90%, 95% of the amino acids found in the normal protein. Other examples of mutations include missense variations where a non-conservative change results at a position where an important amino acid is located in the normal protein. Important amino acids in this respect can include amino acids in catalytic sites, sites where the protein binds another molecule (e.g., another protein, DNA, etc.), or even simple internal or external amino acid sites (where a change from a hydrophobic to a hydrophilic amino acid, or from a hydrophilic to a hydrophobic amino acid, respectively, can significantly disrupt the overall structure and function of the protein). Other mutations can include base changes, whether in the exon or the intron, that disrupt proper splicing. Such splicing mutations need not change any amino acid at all, and can result in a processed transcript with missing or extra exons, with introns remaining, with a truncation, etc. Splicing mutations are often, though not necessarily, found within 5 to 20 bases of a splice site. Less commonly, mutations include so-called silent mutations that, though not changing the amino acid sequence of the encoded protein, result in lowered expression of the protein. These can include variations that, e.g., lead to an RNA transcript with lower stability, disrupt or lower efficiency of RNA processing, etc.
In some embodiments, an indicator of genetic predisposition to breast and/or ovarian cancer as discussed above is any of the following:
In some embodiments, the disclosure provides a method of diagnosing Lynch syndrome (and/or increased risk of a Lynch syndrome-associated cancer) comprising (1) identifying the patient as having at least one indicator of Lynch syndrome (and/or at least one indicator of a genetic predisposition to a Lynch syndrome-associated cancer); (2) assaying a sample from the patient to detect one or more mutations in a plurality of test genes comprising at least 3 (e.g., the top 3, 4, 5, 6, 7, 8, 9, 10, 11 or 12) genes in Panel E; and (3)(a) diagnosing the patient as having Lynch syndrome (and/or an increased risk of a Lynch syndrome-associated cancer) if a mutation is detected in step (2) or (3)(b) diagnosing the patient as not having Lynch syndrome (and/or not having an increased risk of a Lynch syndrome-associated cancer) if no mutation is detected in step (2). As described in Example 3 below, the inventors have made the surprising discovery that mutations in BRCA1 and BRCA2 make a significant contribution to patients having Lynch syndrome. Thus in some embodiments the plurality of test genes comprises (a) MLH1, BRCA1, BRCA2; (b) MLH1, MSH2, BRCA1, BRCA2; (c) MLH1, MSH2, MSH6, BRCA1, BRCA2; (d) MLH1, MSH2, PMS2, BRCA1, BRCA2; (e) MLH1, MSH2, MUTYH, BRCA1, BRCA2; (f) MLH1, MSH2, MSH6, PMS2, BRCA1, BRCA2; (g) MLH1, MSH2, MSH6, PMS2, MUTYH, BRCA1, BRCA2; or (g) MLH1, MSH2, MSH6, PMS2, MUTYH, EPCAM, BRCA1, BRCA2. Lynch syndrome-associated cancers include colorectal, endometrial, ovarian, gastric, small intestine, pancreatic, hepatobiliary, bladder, ureter/renal pelvis, adrenocortical, kidney, sebaceous adenomas/carcinomas, keratoacanthomas, and brain cancers.
In some embodiments, the disclosure provides a method of diagnosing Lynch syndrome (and/or increased risk of a Lynch syndrome-associated cancer) comprising (1) identifying the patient as having at least one indicator of Lynch syndrome (and/or at least one indicator of a genetic predisposition to a Lynch syndrome-associated cancer); (2) assaying a sample from the patient to detect one or more mutations in a plurality of test genes comprising at least 3 (e.g., the top 3, 4, 5, 6, 7, 8, 9, 10, 11 or 12) genes in Panel W; and (3)(a) diagnosing the patient as having Lynch syndrome (and/or an increased risk of a Lynch syndrome-associated cancer) if a mutation is detected in step (2) or (3)(b) diagnosing the patient as not having Lynch syndrome (and/or not having an increased risk of a Lynch syndrome-associated cancer) if no mutation is detected in step (2).
In some embodiments, the disclosure provides a method of diagnosing Lynch syndrome (and/or increased risk of a Lynch syndrome-associated cancer) comprising (1) identifying the patient as having at least one indicator of Lynch syndrome (and/or at least one indicator of a genetic predisposition to a Lynch syndrome-associated cancer); (2) assaying a sample from the patient to detect one or more mutations in a plurality of test genes comprising at least 3 (e.g., the top 3, 4, 5, 6, 7, 8, 9, 10, 11 or 12) genes in Panel X; and (3)(a) diagnosing the patient as having Lynch syndrome (and/or an increased risk of a Lynch syndrome-associated cancer) if a mutation is detected in step (2) or (3)(b) diagnosing the patient as not having Lynch syndrome (and/or not having an increased risk of a Lynch syndrome-associated cancer) if no mutation is detected in step (2).
In some embodiments, the disclosure provides a method of diagnosing Lynch syndrome (and/or increased risk of a Lynch syndrome-associated cancer) comprising (1) identifying the patient as having at least one indicator of Lynch syndrome (and/or at least one indicator of a genetic predisposition to a Lynch syndrome-associated cancer); (2) assaying a sample from the patient to detect one or more mutations in a plurality of test genes comprising at least 3 genes in Panel Y; and (3)(a) diagnosing the patient as having Lynch syndrome (and/or an increased risk of a Lynch syndrome-associated cancer) if a mutation is detected in step (2) or (3)(b) diagnosing the patient as not having Lynch syndrome (and/or not having an increased risk of a Lynch syndrome-associated cancer) if no mutation is detected in step (2).
In some embodiments, an indicator of genetic predisposition to a Lynch syndrome cancer is any of the following:
The nucleic acids to be analyzed in the methods and systems of the disclosure may vary in size. Thus, in some embodiments A=10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800, 900, 1,000, 1,250, 1,500, 1,750, 2,000, 2,500, 3,000, 3,500, 4,000, 5,000, 6,000, 7,000, 8,000, 9,000, 10,000, 12,000, 14,000, 16,000, 18,000, 20,000, 25,000, 30,000, 35,000, 40,000, 45,000, 50,000, 60,000, 70,000, 80,000, or 90,000, or more and B =15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800, 900, 1,000, 1,250, 1,500, 1,750, 2,000, 2,500, 3,000, 3,500, 4,000, 5,000, 6,000, 7,000, 8,000, 9,000, 10,000, 12,000, 14,000, 16,000, 18,000, 20,000, 25,000, 30,000, 35,000, 40,000, 45,000, 50,000, 60,000, 70,000, 80,000, 90,000, or 100,000 or more. These embodiments include every combination of A and B as set forth in the preceding sentence, where B>A. For example, the nucleic acids to be analyzed may comprise (or consist of or consist essentially of) a range of nucleotides in length from any A to any B (e.g., from 10 to 15, 10 to 20, [ . . . ] 100 to 125, 100 to 150, etc.).
In some embodiments the plurality of DNA molecules comprises at least some length of intronic sequence adjacent to some (or all) of said one or more exons. In some embodiments, the plurality of DNA molecules comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 200, 300, 400, 500 or more base pairs of the intronic sequence on one or both sides of the exon(s). This may comprise some portion of the sequences disclosed herein, using Table 3 as reference for where exons and introns begin and end. For example, in one embodiment the plurality of DNA molecules comprises the exons of, e.g., the APC gene plus at least 20 intronic nucleotides upstream and 10 intronic nucleotides downstream of each exon. For Exon 3 of APC, for example, this would mean the plurality of DNA molecules comprises Exon 3 (nucleotides 501-702 of SEQ ID NO:7) and further comprises the first 20 nucleotides of the intron upstream of Exon 3 (nucleotides 481-500 of SEQ ID NO:7) and the first 10 nucleotides of the intron downstream of Exon 3 (nucleotides 703-712 of SEQ ID NO:7). Those skilled in the art can apply this to the other genes, exons, and sequences referenced in Table 3.
As mentioned above, the nucleic acids to be analyzed in the methods and systems of the disclosure comprise one or more exons of a plurality of genes. As used herein, a plurality of nucleic acid molecules comprises a sequence or group of sequences if such plurality of molecules together comprises the sequence or group of sequences. Multiple molecules together comprise a single sequence when the non-redundant sequences of the multiple molecules comprise such sequence. For example, a plurality of molecules may comprise the sequence of Exon 3 of the APC gene, which is just over 200 nucleotides long, despite each molecule being no more than 60 nucleotides long. This is true if the non-redundant sequences from the plurality of molecules, when considered end to end, comprise the full sequence of Exon 3. This example is illustrated in
The total number of genes analyzed in the methods, systems and kits of the disclosure may vary depending on resource and technical constraints. Thus, in some embodiments W=2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, or 69 or more and X=3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800, 900, 1,000, 1,250, 1,500, 1,750, 2,000, 2,500, 3,000, 3,500, 4,000, 5,000, 6,000, 7,000, 8,000, 9,000, 10,000, 12,000, 14,000, 16,000, 18,000, or 20,000 or more. These embodiments include every combination of W and X as set forth in the preceding sentence, where X>W. For example, the plurality of genes to be analyzed may comprise (or consist of or consist essentially of) a range of genes in number from any W to any X (e.g., from 10 to 15, 10 to 20, [ . . . ] 100 to 125, 100 to 150, etc.).
The plurality of genes analyzed in the methods, systems and kits of the disclosure will comprise at least some of the genes listed in Panels A-Y. Thus, in some embodiments the plurality of genes comprises at least 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, or 69 genes listed in Panels A-Y. In some embodiments the plurality of genes comprises gene numbers between Y and Z of any of Panels A-Y. In some such embodiments, Y=1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67 or 68 and Z=2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, or 69. In some embodiments, said plurality of genes comprises gene numbers 1 & 2, 2 & 3, 3 & 4, 4 & 5, 5 & 6, 6 & 7, 7 & 8, 8 & 9, 9 & 10, 10 & 11, 11 & 12, 12 & 13, 13 & 14, 14 & 15, 15 & 16, 16 & 17, 17 & 18, 18 & 19, 19 & 20, 20 & 21, 21 & 22, 22 & 23, 23 & 24, 24 & 25, 25 & 26, 26 & 27, 27 & 28, 28 & 29, 29 & 30, 30 & 31, 31 & 32, 32 & 33, 33 & 34, 34 & 35, 35 & 36, 36 & 37, 37 & 38, 38 & 39, 39 & 40, 40 & 41, 41 & 42, 42 & 43, 43 & 44, 44 & 45, 45 & 46, 46 & 47, 47 & 48, 48 & 49, 49 & 50, 50 & 51, 51 & 52, 52 & 53, 53 & 54, 54 & 55, 55 & 56, 56 & 57, 57 & 58, 58 & 59, 59 & 60, 60 & 61, 61 & 62, 62 & 63, 63 & 64, 64 & 65, 65 & 66, 66 & 67, 67 & 68, or 68 & 69 from any of Panels A-Y. These embodiments include every combination of Y and Z as set forth in the preceding sentences, where Y >Z. For example, the plurality of genes to be analyzed may comprise (or consist of or consist essentially of) a range of genes with a number from any Y to any Z in any of Panels A-Y (e.g., from 1 to 2, 1 to 3, 1 to 4, [ . . . ] 1 to 55, 2 to 3, 2 to 4, 2 to 5, [ . . . ] 2 to 55, etc.). In some embodiments the genes chosen from Panels A-Y comprise at least some percentage, e.g., 1%, 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%, 11%, 12%, 13%, 14%, 15%, 16%, 17%, 18%, 19%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 60%, 70%, 80%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%, of the plurality of genes to be analyzed.
In some embodiments the plurality of DNA molecules comprises at least some length of intronic sequence adjacent to some (or all) of said one or more exons (e.g., as shown in the SEQ IDs of the present disclosure). In some embodiments, the plurality of DNA molecules comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 200, 300, 400, 500 or more base pairs of the intronic sequence.
In some embodiments, the plurality of genes comprises the genes in any of Panels A-Y, with the proviso that the genes do not include one or more of BRCA1, BRCA2, PTEN, PALB2, CHEK2, BRIP1, BARD1, CDH1, ATM, RAD50, MRE11A, NBN, RAD51C, TP53, or STK11. In some embodiments, the plurality of genes comprises BRCA1, BRCA2, PTEN, PALB2, CHEK2, BRIP1, BARD1, CDH1, ATM, RAD50, MRE11A, NBN, RAD51C, TP53, and STK11 together with at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 or more additional gene(s) (including gene number(s) 1, 2, 3, 4, 5, 6, 7, 8, 9, or 10) from any of Panels A-Y.
In some embodiments, the plurality of genes comprises the genes in any of Panels A-Y, with the proviso that the genes do not include one or more of MLH1, MSH2, MSH6, PMS2, EPCAM, APC or MUTYH. In some embodiments, the plurality of genes comprises MLH1, MSH2, MSH6, PMS2, EPCAM, APC and MUTYH together with at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 or more additional gene(s) (including gene number(s) 1, 2, 3, 4, 5, 6, 7, 8, 9, or 10) from any of Panels A-Y.
In some embodiments, the plurality of genes comprises the genes in any of Panels A-Y, with the proviso that the genes do not include one or more of BRCA1, BRCA2, BRIP1, BARD1, CHEK2, MRE11A, NBN, RAD50, RAD51C, PALB2, TP53, PTEN, STK11, CDH1, ATM, MLH1, MSH2, MSH6, PMS1, PMS2 or MUTYH. In some embodiments, the plurality of genes comprises BRCA1, BRCA2, BRIP1, BARD1, CHEK2, MRE11A, NBN, RAD50, RAD51C, PALB2, TP53, PTEN, STK11, CDH1, ATM, MLH1, MSH2, MSH6, PMS1, PMS2 and MUTYH together with at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 or more additional gene(s) (including gene number(s) 1, 2, 3, 4, 5, 6, 7, 8, 9, or 10) from any of Panels A-Y.
In some embodiments, the plurality of genes comprises the genes in any of Panels A-Y, with the proviso that the genes do not include one or more of PTEN, PALB2, STK11, CHEK2, ATM or TP53. In some embodiments, the plurality of genes comprises PTEN, PALB2, STK11, CHEK2, ATM and TP53 together with at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 or more additional gene(s) (including gene number(s) 1, 2, 3, 4, 5, 6, 7, 8, 9, or 10) from any of Panels A-Y.
In some embodiments, the plurality of genes comprises the genes in any of Panels A-Y, with the proviso that the genes do not include one or more of MLH1, MSH2, MSH6, PMS2 or EPCAM. In some embodiments, the plurality of genes comprises MLH1, MSH2, MSH6, PMS2 and EPCAM together with at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 or more additional gene(s) (including gene number(s) 1, 2, 3, 4, 5, 6, 7, 8, 9, or 10) from any of Panels A-Y.
In some embodiments, the plurality of genes comprises the genes in any of Panels A-Y, with the proviso that the genes do not include one or more of MLH1, MSH2, MSH6, or PMS2. In some embodiments, the plurality of genes comprises MLH1, MSH2, MSH6, and PMS2 together with at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 or more additional gene(s) (including gene number(s) 1, 2, 3, 4, 5, 6, 7, 8, 9, or 10) from any of Panels A-Y.
In some embodiments, the plurality of genes comprises the genes in any of Panels A-Y, with the proviso that the genes do not include one or more of ACCA, COMT, CYP11B2, CYP19, CYP1A1, CYP1B1, EPHX, ERA, FASL, IGF2, INS, KLK10, MSH6, RAD51L3, SOD2, VDR, XPG, or XRCC2. In some embodiments, the plurality of genes comprises ACCA, COMT, CYP11B2, CYP19, CYP1A1, CYP1B1, EPHX, ERA, FASL, IGF2, INS, KLK10, MSH6, RAD51L3, SOD2, VDR, XPG, and XRCC2 together with at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 or more additional gene(s) (including gene number(s) 1, 2, 3, 4, 5, 6, 7, 8, 9, or 10) from any of Panels A-Y.
In some embodiments, the plurality of genes comprises the genes in any of Panels A-Y, with the proviso that the genes do not include one or more of BRCA1, BRCA2, CHEK2, RAD51, or NBN. In some embodiments, the plurality of genes comprises BRCA1, BRCA2, CHEK2, RAD51, and NBN together with at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 or more additional gene(s) (including gene number(s) 1, 2, 3, 4, 5, 6, 7, 8, 9, or 10) from any of Panels A-Y.
In some embodiments, the plurality of genes comprises the genes in any of Panels A-Y, with the proviso that the genes do not include one or more of ABL1, AKT1, ALK, APC, ATM, BRAF, CDH1, CDKN2A, CSF1R, CTNNB1, EGFR, ERBB2, ERBB4, FBXW7, FGFR1, FGFR2, FGFR3, FLT3, GNAS, HNF1A, HRAS, IDH1, JAK2, JAK3, KDR, KIT, KRAS, MET, MLH1, MPL, NOTCH1, NPM1, NRAS, PDGFRA, PIK3CA, PTEN, PTPN11, RB1, RET, SMAD4, SMARCB1, SMO, SRC, STK11, TP53, or VHL. In some embodiments, the plurality of genes comprises ABL1, AKT1, ALK, APC, ATM, BRAF, CDH1, CDKN2A, CSF1R, CTNNB1, EGFR, ERBB2, ERBB4, FBXW7, FGFR1, FGFR2, FGFR3, FLT3, GNAS, HNF1A, HRAS, IDH1, JAK2, JAK3, KDR, KIT, KRAS, MET, MLH1, MPL, NOTCH1, NPM1, NRAS, PDGFRA, PIK3CA, PTEN, PTPN11, RB1, RET, SMAD4, SMARCB1, SMO, SRC, STK11, TP53, and VHL together with at least one additional gene from any of Panels A-Y.
As used herein, a “deficiency” in a gene means the presence of some sequence, copy number, expression or epigenetic variation from wild-type in the gene that leads to a deleterious change in function. Sequence variations include point mutations, small (e.g., less than 1,000 nucleotides) deletions and insertions (including frameshift mutations), large (e.g., greater than 1,000 nucleotides) deletions and insertions, and transversions (e.g., reversal of direction in a region of the gene). Copy number variations include amplifications and deletions of substantially an entire gene. Epigenetic variations include variations in methylation, acetylation, etc. In the case of tumor suppressors, a deleterious change in function will generally be attenuated function. Examples include lowered or abolished transcription, lowered or abolished protein expression, and lowered or abolished protein function. Many variations that will lead to such changes may be recognized by those skilled in the art based on the present disclosure, including frameshift or nonsense (premature stop) mutations; deletions, amplifications or transversions in large regions of the gene; missense mutations in critical interaction, structural or enzymatic regions; etc. In the case of oncogenes, a deleterious change in function will generally be heightened function. Examples include heightened transcription, heightened protein expression, and heightened protein function. Many variations that will lead to such changes may be recognized by those skilled in the art based on the present disclosure, including amplification of the gene and activating mutations in enzymatic regions.
As used herein, a “germline” deficiency is any deficiency that is found in the germline of the individual as opposed to deficiencies found only in somatic tissues. For example, a deficiency found in a tumor tissue may either have originated in the germline or arisen somatically. Germline deficiencies may be detected by analyzing various types of samples. Generally, these samples will contain or be derived from cells expected to represent the germline. Examples include white blood cells, germ cells, etc. In some embodiments the nucleic acid analyzed is genomic DNA from such a cell (or DNA (e.g., PCR amplified DNA) derived therefrom). In other embodiments, the nucleic acid analyzed is transcript RNA (or complementary DNA transcribed therefrom) from such a cell. In some embodiments, protein derived from such a cell is analyzed for structural (e.g., amino acid sequence) and functional deficiencies.
Those skilled in the art are familiar with various techniques for sequencing nucleic acids in a sample. Useful techniques include, but are not limited to, Sanger sequencing, sequencing by synthesis (e.g., as described in U.S. Pat. Nos. 6,828,100, 7,276,720, and 7,283,337 and U.S. application publication nos. US20110212437, US20110229877, US20110177498, US20120064599, and US20120058468), single-molecule sequencing (e.g., as described in U.S. Pat. Nos. 8,148,516 and 8,137,569 and U.S. application publication nos. US20110212437, US20110229877, US20110177498, US20120064599, and US20120058468), etc. Examples include techniques developed by Applied Biosystems™ (SOLiD™), Illumina™ (HiSeq™), 454™, Pacific Biosciences™ (SMRT™), and Oxford Nanopore™ (GridION™ and MinION™), each of which is well-known to those skilled in the art.
As discussed above, the methods of the disclosure generally involve sequencing a panel of genes described herein. With modern techniques, it is often possible to sequence tens, hundreds or thousands of genes. Indeed, it is possible to sequence the entire genome. Once such a global assay has been performed, one may then informatically analyze one or more subsets of genes (i.e., panels or, as often used herein, pluralities of test genes). After sequencing hundreds or thousands of genes in a sample, for example, one may analyze (e.g., informatically) the sequences of a panel or plurality of test genes comprising primarily genes in any of Panels A-Y according to the present disclosure (e.g., to determine whether a patient has an increased risk of a particular cancer).
As used herein, a patient has an “increased risk” of a particular cancer if the probability of the patient developing that cancer (e.g., over the patient's lifetime, over some defined period of time (e.g., within 10 years), etc.) exceeds some reference probability or value. The reference probability may be the probability (i.e., prevalence) of the cancer across the general relevant patient population (e.g., all patients; all patients of a particular age, gender, ethnicity; patients having a particular cancer (and thus looking at the risk of a different cancer or an independent second primary of the same type as the first cancer); etc.). For example, if the lifetime probability of a particular cancer in the general population (or some specific subpopulation) is X% and a particular patient has been determined by the methods, systems or kits of the present disclosure to have a lifetime probability of that cancer of Y %, and if Y>X, then the patient has an “increased risk” of that cancer. Alternatively, the tested patient's probability may only be considered “increased” when it exceeds the reference probability by some threshold amount (e.g., at least 0.5, 0.75, 0.85, 0.90, 0.95, 1, 2, 3, 4, 5, 6, 7, 8, 9, or 10 or more fold or standard deviations greater than the reference probability; at least 1%, 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%, 11%, 12%, 13%, 14%, 15%, 16%, 17%, 18%, 19%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 60%, 70%, 80%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, or 99% greater than the reference probability).
The results of any analyses according to the disclosure will often be communicated to physicians, genetic counselors and/or patients (or other interested parties such as researchers) in a transmittable form that can be communicated or transmitted to any of the above parties. Such a form can vary and can be tangible or intangible (e.g., electronic). The results can be embodied in descriptive statements, diagrams, photographs, charts, images or any other visual forms. For example, graphs showing expression or activity level or sequence variation information for various genes can be used in explaining the results. Diagrams showing such information for additional target gene(s) are also useful in indicating some testing results. The statements and visual forms can be recorded on a tangible medium such as papers, computer readable media such as floppy disks, compact disks, etc., or on an intangible medium, e.g., an electronic medium in the form of email or website on internet or intranet. In addition, results can also be recorded in a sound form and transmitted through any suitable medium, e.g., analog or digital cable lines, fiber optic cables, etc., via telephone, facsimile, wireless mobile phone, internet phone and the like.
Thus, the information and data on a test result can be produced anywhere in the world and transmitted to a different location. As an illustrative example, when a sequencing (or genotyping) assay is conducted outside the United States, the information and data on a test result may be generated, cast in a transmittable form as described above, and then imported into the United States. Accordingly, the present disclosure also encompasses methods and systems for producing a transmittable form of sequence information for at least one patient sample. The method comprises the steps of (1) sequencing nucleic acids in a sample according to methods of the present disclosure; and (2) embodying the result of the sequencing step in a transmittable form. The transmittable form is a product of such a method.
Techniques for analyzing sequence data (indeed any data obtained according to the disclosure) may be implemented using hardware, software or a combination thereof in one or more computer systems or other processing systems capable of effectuating such analysis.
The sample analyzer in the systems of the disclosure can be any instrument useful in sequencing nucleic acids, including but not limited to, Illumina HiSeq™, Ion Torrent PGM, ABI SOLiD™ sequencer, PacBio RS, Helicos Heliscope™, or any instrument utilizing a sequencing system discussed above.
The computer-based analysis function can be implemented in any suitable language and/or browsers. For example, it may be implemented with C language and preferably using object-oriented high-level programming languages such as Visual Basic, SmallTalk, C++, and the like. The application can be written to suit environments such as the Microsoft Windows™ environment including Windows™ 98, Windows™ 2000, Windows™ NT, and the like. In addition, the application can also be written for the Macintosh™, SUN™, UNIX or LINUX environment. In addition, the functional steps can also be implemented using a universal or platform-independent programming language. Examples of such multi-platform programming languages include, but are not limited to, hypertext markup language (HTML), JAVA™, JavaScript™, Flash programming language, common gateway interface/structured query language (CGI/SQL), practical extraction report language (PERL), AppleScript™ and other system script languages, programming language/structured query language (PL/SQL), and the like. Java™- or JavaScript™-enabled browsers such as HotJava™, Microsoft™ Explorer™, or Netscape™ can be used. When active content web pages are used, they may include Java™ applets or ActiveX™ controls or other active content technologies.
The analysis function can also be embodied in computer program products and used in the systems described above or other computer- or internet-based systems. Accordingly, another aspect of the present disclosure relates to a computer program product comprising a computer-usable medium having computer-readable program codes or instructions embodied thereon for enabling a processor to carry out gene status analysis. These computer program instructions may be loaded onto a computer or other programmable apparatus to produce a machine, such that the instructions which execute on the computer or other programmable apparatus create means for implementing the functions or steps described above. These computer program instructions may also be stored in a computer-readable memory or medium that can direct a computer or other programmable apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory or medium produce an article of manufacture including instruction means which implement the analysis. The computer program instructions may also be loaded onto a computer or other programmable apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions or steps described above.
One example of a computer system of the disclosure is the computer system [200] illustrated in
The at least one memory module [206] may include, e.g., a removable storage drive [208], which can be in various forms, including but not limited to, a magnetic tape drive, a floppy disk drive, a VCD drive, a DVD drive, an optical disk drive, etc. The removable storage drive [208] may be compatible with a removable storage unit [210] such that it can read from and/or write to the removable storage unit [210]. Removable storage unit [210] may include a computer usable storage medium having stored therein computer-readable program codes or instructions and/or computer readable data. For example, removable storage unit [210] may store patient data. Example of removable storage unit [210] are well known in the art, including, but not limited to, floppy disks, magnetic tapes, optical disks, and the like. The at least one memory module [206] may also include a hard disk drive [212], which can be used to store computer readable program codes or instructions, and/or computer readable data.
In addition, as shown in
Computer system [200] may include at least one processor module [202]. It should be understood that the at least one processor module [202] may consist of any number of devices. The at least one processor module [202] may include a data processing device, such as a microprocessor or microcontroller or a central processing unit. The at least one processor module [202] may include another logic device such as a DMA (Direct Memory Access) processor, an integrated communication processor device, a custom VLSI (Very Large Scale Integration) device or an ASIC (Application Specific Integrated Circuit) device. In addition, the at least one processor module [202] may include any other type of analog or digital circuitry that is designed to perform the processing functions described herein.
As shown in
The at least one input module [230] may include, for example, a keyboard, mouse, touch screen, scanner, and other input devices known in the art. The at least one output module [224 ] may include, for example, a display screen, such as a computer monitor, TV monitor, or the touch screen of the at least one input module [230]; a printer; and audio speakers. Computer system [200] may also include, modems, communication ports, network cards such as Ethernet cards, and newly developed devices for accessing intranets or the internet.
The at least one memory module [206] may be configured for storing patient data entered via the at least one input module [230] and processed via the at least one processor module [202]. Patient data relevant to the present disclosure may include sequence information for one or more of the genes in any of Panels A-Y. Patient data relevant to the present disclosure may also include clinical parameters relevant to the patient (e.g., age, lifestyle and environmental risk factors for cancer, previously diagnosed diseases (including previously diagnosed cancers), tumor size, node status, tumor stage). Any patient data a physician might find useful in making treatment decisions/recommendations may also be entered into the system, including but not limited to age, gender, and race/ethnicity and lifestyle data such as diet information. Other possible types of patient data include symptoms currently or previously experienced, patient's history of illnesses, medications, and medical procedures.
The at least one memory module [206] may include a computer-implemented method stored therein. The at least one processor module [202] may be used to execute software or computer-readable instruction codes of the computer-implemented method. The computer-implemented method may be configured to, based upon the patient data, indicate whether the patient has an increased likelihood of recurrence, progression or response to any particular treatment, generate a list of possible treatments, etc.
In certain embodiments, the computer-implemented method may be configured to identify a patient as having or not having an increased risk of a particular cancer. For example, the computer-implemented method may be configured to inform a physician that a particular patient has an increased risk of a particular cancer. Alternatively or additionally, the computer-implemented method may be configured to actually suggest a particular course of treatment based on the answers to/results for various queries.
When the queries are performed sequentially, they may be made in the order suggested by
In some embodiments, the computer-implemented method of the disclosure [300] is open-ended. In other words, the apparent first step [310] in
Regarding the above computer-implemented method [300], the answers to the queries may be determined by the method instituting a search of patient data for the answer. For example, to answer the respective queries ([310], [311], [312]), patient data may be searched for germline sequence data for the HCGs to be analyzed (e.g., two or more of the genes in Panel B or Panel N). The queries may be performed in no particular order or according to some desired order (e.g., in order of gene number in Panel B or Panel N). If such a comparison has not already been performed, the method may compare these data to some reference (e.g., reference sequence) in order to determine if the patient has a germline deficiency in any of the HCGs being analyzed. Additionally or alternatively, the method may present one or more of the queries ([310], [311], [312]) to a user of the computer system [200] (e.g., a physician). For example, the questions ([310], [311], [312]) may be presented via an output module [224]. The user may then answer “Yes” or “No” or provide some other value (e.g., numerical or qualitative value representing germline HCG status) via an input module [230]. The method may then proceed based upon the answer received. Likewise, the conclusions [330, 331] may be presented to a user of the computer-implemented method via an output module [224].
The practice of the present disclosure may also employ conventional biology methods, software and systems. Computer software products of the disclosure typically include computer readable media having computer-executable instructions for performing the logic steps of the method of the disclosure. Suitable computer readable medium include floppy disk, CD-ROM/DVD/DVD-ROM, hard-disk drive, flash memory, ROM/RAM, magnetic tapes and etc. Basic computational biology methods are described in, for example, Setubal et al., I
The present disclosure may also make use of various computer program products and software for a variety of purposes, such as probe design, management of data, analysis, and instrument operation. See U.S. Pat. Nos. 5,593,839; 5,795,716; 5,733,729; 5,974,164; 6,066,454; 6,090,555; 6,185,561; 6,188,783; 6,223,127; 6,229,911 and 6,308,170. Additionally, the present disclosure may have embodiments that include methods for providing genetic information over networks such as the Internet as shown in U.S. Ser. No. 10/197,621 (U.S. Pub. No. 20030097222); Ser. No. 10/063,559 (U.S. Pub. No. 20020183936), Ser. No. 10/065,856 (U.S. Pub. No. 20030100995); Ser. No. 10/065,868 (U.S. Pub. No. 20030120432); Ser. No. 10/423,403 (U.S. Pub. No. 20040049354).
The terms “probe” and “oligonucleotide” (also “oligo”), when used in the context of nucleic acids, interchangeably refer to a relatively short nucleic acid fragment or sequence. The disclosure also provides primers useful in the methods of the disclosure. “Primers” are oligonucleotides capable, under the right conditions and with the right companion reagents, of selectively amplifying a target nucleic acid (e.g., a target exon or gene). In the context of nucleic acids, unless indicated otherwise, “probe” is used herein to encompass “primer” since primers can generally also serve as probes.
The probe can generally be of any suitable size/length. In some embodiments the probe is between A and B nucleotides in length. In some embodiments A=10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800, 900, 1,000, 1,250, 1,500, 1,750, 2,000, 2,500, 3,000, 3,500, 4,000, 5,000, 6,000, 7,000, 8,000, 9,000, 10,000, 12,000, 14,000, 16,000, 18,000, 20,000, 25,000, 30,000, 35,000, 40,000, 45,000, 50,000, 60,000, 70,000, 80,000, or 90,000, or more and B=15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800, 900, 1,000, 1,250, 1,500, 1,750, 2,000, 2,500, 3,000, 3,500, 4,000, 5,000, 6,000, 7,000, 8,000, 9,000, 10,000, 12,000, 14,000, 16,000, 18,000, 20,000, 25,000, 30,000, 35,000, 40,000, 45,000, 50,000, 60,000, 70,000, 80,000, 90,000, or 100,000 or more. These embodiments include every combination of A and B as set forth in the preceding sentence, where B>A. For example, the probe may comprise (or consist of or consist essentially of) a range of nucleotides in length from any A to any B (e.g., from 10 to 15, 10 to 20, [ . . . ] 100 to 125, 100 to 150, etc.). In some embodiments the probe has a length from about 8 to 200, 15 to 150, 15 to 100, 15 to 75, 15 to 60, or 20 to 55 bases in length. They can be labeled with detectable markers with any suitable detection marker including but not limited to, radioactive isotopes, fluorophores, biotin, enzymes (e.g., alkaline phosphatase), enzyme substrates, ligands and antibodies, etc. See Jablonski et al., N
Probes according to the disclosure can be used in the hybridization, amplification, detection or sequencing techniques discussed above. Thus, some embodiments of the disclosure comprise probe sets (including primer sets) suitable for use in detecting, amplifying, quantitating, and/or sequencing genes or gene panels of the disclosure. In some embodiments the probe sets have a certain proportion of their probes directed to genes or gene panels of the disclosure (e.g., genes in any of Panels A-Y)—e.g., a probe set comprising (or consisting of) 1%, 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%, 11%, 12%, 13%, 14%, 15%, 16%, 17%, 18%, 19%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 60%, 70%, 80%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100% probes specific for HCGs.
The total number of genes to which the probes in the probe set are directed may vary depending on resource and technical constraints. In some embodiments the probe set comprises (or consists of or consists essentially of) probes directed to between W and X genes, where W=2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, or 55 or more and X=3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800, 900, 1,000, 1,250, 1,500, 1,750, 2,000, 2,500, 3,000, 3,500, 4,000, 5,000, 6,000, 7,000, 8,000, 9,000, 10,000, 12,000, 14,000, 16,000, 18,000, or 20,000 or more. These embodiments include every combination of W and X as set forth in the preceding sentence, where X>W. For example, the plurality of genes to which probes in the probes set are directed may comprise (or consist of or consist essentially of) a range of genes in number from any W to any X (e.g., from 10 to 15, 10 to 20, [ . . . ] 100 to 125, 100 to 150, etc.).
In some embodiments the genes to which probes in the probe set are directed will comprise at least some of the genes listed in Panels A-Y. Thus, in some embodiments the probe set comprises probes directed to at least 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, or 55 genes listed in Panels A-Y. In some embodiments the probe set comprises probes directed to between Y and Z gene of any of Panels A-Y, wherein Y=1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, or 54 and Z=2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55. In some embodiments, said plurality of genes comprises gene numbers 1 & 2, 2 & 3, 3 & 4, 4 & 5, 5 & 6, 6 & 7, 7 & 8, 8 & 9, 9 & 10, 10 & 11, 11 & 12, 12 & 13, 13 & 14, 14 & 15, 15 & 16, 16 & 17, 17 & 18, 18 & 19, 19 & 20, 20 & 21, 21 & 22, 22 & 23, 23 & 24, 24 & 25, 25 & 26, 26 & 27, 27 & 28, 28 & 29, 29 & 30, 30 & 31, 31 & 32, 32 & 33, 33 & 34, 34 & 35, 35 & 36, 36 & 37, 37 & 38, 38 & 39, 39 & 40, 40 & 41, 41 & 42, 42 & 43, 43 & 44, 44 & 45, 45 & 46, 46 & 47, 47 & 48, 48 & 49, 49 & 50, 50 & 51, 51 & 52, 52 & 53, 53 & 54, or 54 & 55 from any of Panels A-Y. These embodiments include every combination of Y and Z as set forth in the preceding sentences, where Y>Z. For example, the probe set comprises (or consists of or consists essentially of) probes directed to a range of genes with a number from any Y to any Z in any of Panels A-Y (e.g., from 1 to 2, 1 to 3, 1 to 4, [ . . . ] 1 to 55, 2 to 3, 2 to 4, 2 to 5, [ . . . ] 2 to 55, etc.).
As used herein, a probe (or primer) is “directed to” a gene when such probe hybridizes under certain minimal stringency conditions (e.g., high stringency conditions) to a nucleic acid comprising a nucleotide sequence specific for such gene (e.g., in the genome essentially only found in that gene). Examples include, but are not limited to, relatively low salt and/or high temperature conditions, such as provided by about 0.02 M to about 0.10M NaCl at temperatures of about 50° C. to about 70° C. For example, a medium stringency condition could be provided by about 0.1 to 0.25 M NaCl at temperatures of about 37° C. to about 55° C., while a low stringency condition could be provided by about 0.15 M to about 0.9 M salt, at temperatures ranging from about 20° C. to about 55° C. In other embodiments, hybridization may be achieved under conditions of, for example, 50 mM Tris-HCl (pH 8.3), 75 mM KCl, 3 mM MgCl2, 1.0 mM dithiothreitol, at temperatures between approximately 20° C. to about 37° C. Other hybridization conditions utilized could include approximately 10 mM Tris-HCl (pH 8.3), 50 mM KCl, 1.5 mM MgCl2, at temperatures ranging from approximately 40° C. to about 72° C.
In some embodiments a probe (or primer) is “directed to” a gene when such probe shares at least some minimum level of sequence homology with a portion of such gene (particularly portions of such gene which are unique to the gene, i.e., not shared with other portions of the genome). In some embodiments the probe shares at least 75%, 80%, 85%, 90%, 95%, 96%, 97%, 98%, 99% or 100% sequence identity (as determined by, e.g., the BLAST algorithm) with a portion of the gene that is at least 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 100, 125, 150, 175, 200, 250, 300, 350, 400, 450, 500 or more bases long. In this respect, the probe or primer will comprise such homologous sequence and may additionally comprise numerous other moieties, including additional nucleotide sequences (e.g., adapters for sequencing).
In another aspect of the present disclosure, a kit is provided for practicing the diagnosis of the present disclosure. The kit may include a carrier for the various components of the kit. The carrier can be a container or support, in the form of, e.g., bag, box, tube, rack, and is optionally compartmentalized. The carrier may define an enclosed confinement for safety purposes during shipment and storage. The kit many include oligonucleotides directed to (e.g., specifically hybridizing under high stringency to) DNA having all or part of the germline sequence of a plurality of genes in any of Panels A-Y (e.g., genomic DNA extracted from a patient sample, synthetic DNA synthesized using such genomic DNA, etc.). Such oligonucleotides can be used as PCR primers in PCR reactions, as hybridization probes, etc. In some embodiments the kit comprises reagents (e.g., probes, primers, and or antibodies) for determining the sequence of a panel of genes, where said panel comprises at least 25%, 30%, 40%, 50%, 60%, 75%, 80%, 90%, 95%, 99%, or 100% genes in any of Panels A-Y. In some embodiments the kit consists of reagents (e.g., probes, primers, and or antibodies) for determining the expression level of no more than 2500 genes, wherein at least 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100, 120, 150, 200, 250, or more of these genes are HCGs (e.g., HCGs in any of Panels A-Y).
The oligonucleotides in the detection kit can be labeled with any suitable detection marker including but not limited to, radioactive isotopes, fluorephores, biotin, enzymes (e.g., alkaline phosphatase), enzyme substrates, ligands and antibodies, etc. See Jablonski et al., N
Various other components useful in the detection techniques may also be included in the detection kit of this disclosure. Examples of such components include, but are not limited to, Taq polymerase, deoxyribonucleotides, dideoxyribonucleotides, other primers suitable for the amplification of a target DNA sequence, RNase A, and the like. In addition, the detection kit preferably includes instructions on using the kit for practice the diagnostic method of the present disclosure using human samples.
Biological samples from patients that can yield germline DNA are obtained. Genomic DNA is extracted from biological samples, purified, and quantitated. Genomic regions of interest (i.e., exons of the genes of interest plus on average 10 flanking intronic nucleotides on each side of each exon) are enriched by amplification using primers specific for these regions. Genes analyzed in this example are those of Panel F.
Genomic DNA is fragmented and subjected to a merge on a RainDance instrument with a target enrichment PCR primer library. The library is designed to amplify approximately 1,200 targets covering all coding regions (plus on average 10 flanking intronic nucleotides on each side of each exon) of the genes in Panel F. Specifically, one micro-droplet at a time, the merging process melds together in an oil phase a micro-droplet containing one or more DNA fragments from the patient sample (or derived, e.g., amplified, therefrom) with a micro-droplet containing thousands of copies of one or more primer pairs targeting widely-spaced unique positions of interest (this example involves 5 primer pairs as one preferred embodiment, but 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100 or more primer pairs may be used within a droplet). The process is repeated approximately from 1 to 2 million times. The collection of merged droplets is subjected to emulsion PCR amplification. The emulsion is disrupted, cleaned up, and subjected to secondary PCR that tails the primary PCR products with sequencing primers, anchors and an indexing barcode for the Illumina sequencing process. Samples from one or more patients are pooled together for sequencing (this example involves pooling of samples from 96 patients, but samples from 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180, 190, 192, 200, 225, 250, 275, 300 or more patients may be pooled).
Some genes (e.g., PMS2, CHEK2) encompass genomic areas with pseudogenes. Pseudogenes may interfere with normal sequencing. For those genes, genomic DNA is also amplified with gene-specific primers to produce long range PCR products. The long range PCR products are used as surrogate gene targets for sequencing. Specifically, the long range products are amplified with a 4-primer PCR mix containing Illumina adapter-tailed primary nested primer sets specific to the genes, as well as secondary primers containing sequencing chip anchor sequences, indexing barcodes and designed to prime off the Illumina adapter tails of the primary primers.
Amplified DNA is sequenced using the Illumina MiSeq™ (or analogous HiSeq™) system according to the manufacturer's protocol. This system yields high quality sequence data for each exon amplified.
Sequence data are compared to reference sequences using alignment software to determine whether each patient has a germline variation in any of the genes of interest. Further analysis is performed to determine whether any such variation is deleterious, including looking for nonsense and frame-shift variants or large rearrangements.
This Example 2 describes a study performed to assess a panel of the disclosure in a large population of patients suspected of having hereditary breast and ovarian cancer syndrome (HBOC), e.g., patients suspected of having a BRCA1 and/or BRCA2 mutation. The details of DNA preparation and sequencing were as described in Example 1 above, except Panel B was assessed instead of Panel F. DNA from 1955 prospectively accrued cases was anonymized for this study. Patients with Ashkenazi Jewish heritage were excluded in order to determine the relative prevalence of mutations in a generalizable population. Extracted genomic DNA from blood was hybridized with a custom amplicon library on a Raindance™ ThunderStorm™ instrument. DNA was sequenced on an Illumina™ HiSeq2500™ system. Sequence variations, large rearrangements and large deletions among the 25 genes of Panel B were detected.
A total of 275/1955 (14.07%) patients were found to be mutation carriers in at least one of the genes of Panel B. 182/1955 (9.31%) patients had a mutation in BRCA1 or BRCA2. 96/1955 (4.91%) patients had a mutation in other genes. The distribution by gene of 96 probands with other gene mutations is shown in Table A below. The genes of Table A form yet another panel of the disclosure (Panel Q) and these genes, together with the BRCA1 and BRCA2 genes, form Panel D.
1738/1955 patients had a personal history of breast cancer. In 1091/1738 the incidence of breast cancer occurred prior to age 50, in 647/1738 the incidence of breast cancer occurred at or after age 50. Mutation prevalence for patients with breast cancer only, ovarian cancer only, breast and ovarian cancer or other HBOC cancers is shown in Table B below. 1902 of 1955 (97.29%) patients had a variant of uncertain clinical significance (VUS) in at least one of the genes tested with a median of three VUSs per patient.
Panel B (more specifically Panel D) increased clinical sensitivity by 4.76% (95% C.I., 2.71-6.81%) in this study sample of 1955 patients as compared to BRCA1/BRCA2 testing alone. The observed improvement in clinical sensitivity achieved over BRCA1/BRCA2 testing alone is 51.1%. Thus, among cancer patients at risk for HBOC, Panel B (more specifically Panel D) results in a greater than 50% increase in mutation detection over current BRCA1/BRCA2 clinical testing. Panel Q and preferably Panel D (or subpanels comprising the top 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, or 12 genes thereof) can therefore be particularly useful in targeted assessment of cancer risk in patients at risk of having HBOC.
This Example 3 describes a study performed to assess a panel of the disclosure in a population of patients suspected of having Lynch syndrome, e.g., patients submitted for testing of mismatch repair (MMR) genes (MLH1, MSH2, MSH6, PMS2, and EPCAM) based on having an indicator of Lynch syndrome. The details of DNA preparation and sequencing were as described in Example 1 above, except Panel B was assessed instead of Panel F. DNA from 343 prospectively accrued cases was anonymized for this study. Extracted genomic DNA from blood was hybridized with a custom amplicon library on a Raindance™ ThunderStorm™ instrument. DNA was sequenced on an Illumina™ HiSeq2500™ system. Sequence variations, large rearrangements and large deletions among the 25 genes of Panel B were detected.
Out of 343 cases, 45 (13%) had a mutation in MLH1, MSH2, MSH6 or PMS2. Out of 298 cases negative for these genes, other deleterious mutations were found as shown in Table C. The genes of Panel R can be added to the MMR genes to form Panel E of the disclosure.
Panel E increased clinical sensitivity by 5.25% in this study sample of 343 patients as compared to MMR gene testing alone. The observed improvement in clinical sensitivity achieved over MMR gene testing alone is 40.4%. To better understand the contribution of BRCA1 and BRCA2 to these suspected Lynch syndrome patients, the type of cancer that was the indicator for Lynch syndrome testing in the nine BRCA1- or BRCA2-positive patients was analyzed. All nine patients had at least on indicator of Lynch syndrome. In four cases, distinct indicators for both Lynch syndrome and HBOC (i.e., indicators not shared between the syndromes) were present. In four other cases, only indicators for Lynch syndrome were present. In one case, only a shared indicator for both Lynch syndrome and HBOC (i.e., ovarian cancer) was present. Even excluding this ovarian cancer case, BRCA2 and BRCA1 alone out of Panel E increased sensitivity by 2.33% over testing only the MMR genes. This translates to an observed improvement in clinical sensitivity over MMR gene testing alone of 17.9%. Thus, among cancer patients at risk for Lynch syndrome, Panel E results in a 40% increase in mutation detection over current MMR gene testing alone. Panel R and preferably Panel E (or subpanels comprising the top 2, 3, 4, 5, 6, 7, 8, 9, 10, or 11 genes thereof) can therefore be particularly useful in targeted assessment of cancer risk in patients at risk of having Lynch syndrome.
Under an alternative analysis of these data, 47 out of 343 cases (13%) had a pathogenic mutation in at least one of the five classical genes underlying Lynch Syndrome. All 343 subjects had a personal history of cancer and/or polyps. 19/343 (6%) were found to have pathogenic mutations in at least one of the 20 non-Lynch Syndrome genes tested, including four subjects with multiple pathogenic mutations (one of whom also had Lynch Syndrome). 10/19 (53%) subjects with non-LS mutations carried mutations in BRCA1 and/or BRCA2. Mutation carriers' personal and family histories of Lynch Syndrome neoplasia were as shown in Table D.
Panel E increased clinical sensitivity by 5.25% in this study sample of 343 patients as compared to MMR gene testing alone. The observed improvement in clinical sensitivity achieved over MMR gene testing alone is 40.4%. To better understand the contribution of BRCA1 and BRCA2 to these suspected Lynch syndrome patients, the type of cancer that was the indicator for Lynch syndrome testing in the nine BRCA1- or BRCA2-positive patients was analyzed. All nine patients had at least on indicator of Lynch syndrome. In four cases, distinct indicators for both Lynch syndrome and HBOC (i.e., indicators not shared between the syndromes) were present. In four other cases, only indicators for Lynch syndrome were present. In one case, only a shared indicator for both Lynch syndrome and HBOC (i.e., ovarian cancer) was present. Even excluding this ovarian cancer case, BRCA2 and BRCA1 alone out of Panel E increased sensitivity by 2.33% over testing only the MMR genes. This translates to an observed improvement in clinical sensitivity over MMR gene testing alone of 17.9%. Thus, among cancer patients at risk for Lynch syndrome, Panel E results in a 40% increase in mutation detection over current MMR gene testing alone. Panel R and preferably Panel E (or subpanels comprising the top 2, 3, 4, 5, 6, 7, 8, 9, 10, or 11 genes thereof) can therefore be particularly useful in targeted assessment of cancer risk in patients at risk of having Lynch syndrome.
This Example 4 describes a study performed to assess a panel of the disclosure in a large population of patients diagnosed with ovarian cancer. The details of DNA preparation and sequencing were as described in Example 1 above, except Panel B was assessed instead of Panel F. DNA from 648 ovarian cancer cases was anonymized for this study. The patient cohort included patients with ovarian (n=609), ovarian and fallopian (n=2), ovarian and peritoneal (n=3), fallopian (n=4), peritoneal (n=14), and non-epithelial ovarian (n=16) tissue involvement. The patient cohort included under 20 (n=1), over 80 (n=35), mode 60-69 (n=196). Extracted genomic DNA from blood was hybridized with a custom amplicon library on a Raindance™ ThunderStorm™ instrument. DNA was sequenced on an Illumina™ HiSeq2500 system. Sequence variations, large rearrangements and large deletions among the 25 genes of Panel B were detected.
A total of 100/648 (15.4%) patients were found to be mutation carriers in at least one of the genes of Panel B. 4/648 patients were found to be mutation carriers in at least two of the genes of Panel B. Of the 104 mutations detected in the genes of Panel 62/104 (59.6%) were a mutation in BRCA1 (n=33) or BRCA2 (n=29) genes, 6/104 (5.8%) were a mutation in a Lynch syndrome gene (MSH6, n=4; MSH2 n=2), and 36/104 (34.6%) were a mutation in other genes. The distribution by gene of 36 probands with other gene mutations is shown in Table E below. The genes of Table E form yet another panel of the disclosure (Panel S), the genes of Table E with the BRCA1 and BRCA2 genes form Panel T, the genes of Table E together with MSH6 and MSH2 genes form Panel U, the genes of Table E with the BRCA1, BRCA2, MSH6, and MSH2 genes form Panel V.
Panels S, T, U, and V, and preferably Panel B (or subpanels comprising the top 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, or 12 genes thereof) can therefore be particularly useful in targeted assessment of cancer risk in patients at risk of having ovarian cancer.
This Example 5 describes a study performed to assess a panel of the disclosure in a population of patients suspected of having Lynch syndrome, e.g., patients submitted for testing of traditional Lynch syndrome genes (MLH1, MSH2, MSH6, PMS2, and EPCAM) based on having an indicator of Lynch syndrome. The details of DNA preparation and sequencing were as described in Example 1 above, except Panel B was assessed instead of Panel F. DNA from 1260 prospectively accrued cases was anonymized for this study. The study cohort consisted of 73% females. The median age of first cancer was 47 years. 63% of the subjects had a personal history of colon cancer, 23% had endometrial cancer, 7% had ovarian cancer, 5% had breast cancer, and 14% had multiple primary cancers. 74% of the patients tested had a family history of at least one Lynch syndrome-associated cancer, and 23% had a family history of breast cancer. 88% of the subjects met NCCN criteria for Lynch testing, 25% of the subjects met NCCN criteria for HBOC testing. Extracted genomic DNA from blood was hybridized with a custom amplicon library on a Raindance™ ThunderStorm™ instrument. DNA was sequenced on an Illumina™ HiSeq2500 system. Sequence variations, large rearrangements and large deletions among the 25 genes of Panel B were detected.
Out of 1260 cases, 155 (12.3%) had a pathogenic mutation in at least one gene from Panel B. Of the 155 subjects with a pathogenic mutation, 114 (9%) subjects had a mutation in a traditional Lynch gene, and 43 (3.4%) subjects had a non-Lynch mutation, including 2 subjects with both a Lynch and non-Lynch mutation (one with mutations in MSH6 and STK11, and one with mutations in MSH2 and ATM). The distribution by gene of 114 probands with traditional Lynch gene mutations is shown in Table F below. The distribution by gene of 43 subjects with non-Lynch mutations is shown in Table G below. The genes of Table F form yet another panel of the disclosure (Panel W). The genes of Table G form yet another panel of the disclosure (Panel X), the genes of Table F together with the genes of Table G form Panel Y.
Panels W, X, and Y and preferably Panel B (or subpanels comprising the top 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, or 12 genes of any of these) can therefore be particularly useful in targeted assessment of cancer risk in patients at risk of having Lynch syndrome or a Lynch syndrome-associated cancer.
Embodiment 1. A method for sequencing nucleic acids comprising: (1) isolating a plurality of nucleic acid molecules from a sample taken from a patient, each nucleic acid molecule comprising between A and B nucleotides in length, said plurality of nucleic acid molecules comprising one or more exons of a plurality of genes consisting of between W and X genes, and said plurality of genes comprising at least two genes in any of Panels A-Y; and (2) determining the sequence of said plurality of nucleic acid molecules.
Embodiment 2. A method for determining whether a patient has an increased risk of cancer, which comprises: (1) determining for a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two genes in any of Panels A-Y, whether the patient has a germline deficiency in any genes in said plurality of genes; and either (2) correlating a germline deficiency in any of said plurality of genes to an increased risk of cancer, or (3) correlating the absence of a germline deficiency in all of said plurality of genes to no increased risk of cancer.
Embodiment 3. The method of Embodiment 2 further comprising (a) isolating a plurality of nucleic acid molecules from a sample taken from a patient, each nucleic acid molecule comprising between A and B nucleotides in length, and said plurality of nucleic acid molecules comprising one or more exons of said plurality of genes and (b) determining the sequence of said plurality of nucleic acid molecules.
Embodiment 4. The method of Embodiment 3, further comprising detecting a germline deficiency in a gene by comparing the sequence determined in (b) with one or more reference sequences.
Embodiment 5. A method for treating a patient comprising (1) determining for a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two genes in any of Panels A-Y, whether the patient has a germline deficiency in any genes in said plurality of genes; and (2)(a) correlating a germline deficiency in any of said plurality of genes to an increased risk of cancer, or (2)(b) correlating the absence of a germline deficiency in all of said plurality of genes to no increased risk of cancer; and (3) recommending, prescribing, or administering a treatment to reduce the patient's risk of cancer.
Embodiment 6. The method of Embodiment 5, wherein said treatment comprises surgery to remove all or part of the organ in which the patient has an increased risk of cancer.
Embodiment 7. The method of Embodiment 6, wherein said surgery is chosen from the group consisting of mastectomy, salpingo-oophorectomy, hysterectomy, colectomy, and prostatectomy.
Embodiment 8. The method of Embodiment 5, wherein said treatment comprises preventive drug treatment.
Embodiment 9. The method of Embodiment 8, wherein said preventive drug treatment comprises tamoxifen treatment.
Embodiment 10. A system comprising (1) computer program for receiving, storing, and/or retrieving a patient's sequence data for a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two genes in any of Panels A-Y; (2) computer program for querying this patient data; (3) optionally a computer program for comparing the patient's sequence data to one or more reference sequences to determine whether there is a mutation; (4) computer program for concluding whether there is an increased likelihood of cancer based on the presence or absence of a mutation; and optionally (4) computer program for outputting/displaying this conclusion.
Embodiment 11. A system for sequencing genes in a sample, comprising: (1) a sample analyzer for sequencing a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two genes in any of Panels A-Y, wherein the sample analyzer contains (a) the sample which is from a patient, (b) genomic DNA from the sample, (c) transcript RNA from the sample, or (d) DNA synthesized from said genomic DNA; (2) a first computer program for receiving test sequence data on the plurality of genes; and (3) a second computer program for comparing the sequence data to one or more reference sequences.
Embodiment 12. The system of Embodiment 11, comprising a computer program for determining the patient's degree of risk of cancer based at least in part on the comparison of the test sequence with said one or more reference sequences.
Embodiment 13. The system of Embodiment 12, wherein said computer program for determining the patient's degree of risk of cancer compares the patient's determined probability of a particular cancer with a reference probability to determine whether the patient has an increased risk of such cancer.
Embodiment 14. A composition comprising:
Embodiment 15. A kit comprising: reagents for sequencing nucleic acid molecules comprising one or more exons of a plurality of genes comprising a plurality of genes consisting of between W and X genes, said plurality of genes comprising at least two genes in any of Panels A-Y; and instructions for using said reagents.
Embodiment 16. The kit of Embodiment 15, comprising a composition of claim 14.
Embodiment 17. The kit of Embodiment 15, wherein said reagents are PCR primers specific for the plurality of genes.
Embodiment 18. The kit of Embodiment 15, wherein said reagents are PCR primers specific for the exons of the plurality of genes.
Embodiment 19. The kit of Embodiment 15, wherein said reagents are oligonucleotide probes specific for the exons of the plurality of genes.
Embodiment 20. The kit of Embodiment 15, wherein said reagents are packaged into an array.
Embodiment 21. The method of any one of Embodiments 1, 3, or 4, comprising comparing the sequences determined in an earlier step with one or more reference sequences.
Embodiment 22. The method of Embodiment 21, comprising correlating a difference between the determined sequences and the one or more reference sequences to a mutation in one or more of the genes in the plurality of genes.
Embodiment 23. The method of Embodiment 21 or Embodiment 22, wherein the reference sequence for any given gene in the plurality is any of the sequences corresponding to that gene as shown in Table 3.
Embodiment 24. The system of any one of Embodiments 10-13, comprising a computer program for determining whether the patient has a mutation in one or more of the genes in the plurality of genes by determining whether there is a difference between the determined sequences and the one or more reference sequences.
Embodiment 25. The system of Embodiment 24, wherein the reference sequence for any given gene in the panel is any of the sequences corresponding to that gene as shown in Table 3.
Embodiment 26. The method of any one of Embodiments 1-9, or 21-23, comprising correlating a germline deficiency in any particular gene in the plurality of genes to an increased risk of a particular cancer as shown in Table 4.
Embodiment 27. The method of any one of Embodiments 1-9, 21-23, or 26, comprising diagnosing the patient with an increased risk of a particular cancer as shown in Table 4 based at least in part on a germline deficiency in any particular gene in the plurality of genes.
Embodiment 28. The method of any one of Embodiments 1-9, 21-23, comprising correlating no germline deficiency in any gene in the plurality of genes with no increased risk of any cancer.
Embodiment 29. The system of any one of Embodiments 10-13, comprising a computer program for determining the patient's degree of risk of any particular cancer as shown in Table 4 based at least in part on the comparison of the test sequence with said one or more reference sequences.
Embodiment 30. The method of any of Embodiments 1, 3 or 4, wherein A=10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800, 900, 1,000, 1,250, 1,500, 1,750, 2,000, 2,500, 3,000, 3,500, 4,000, 5,000, 6,000, 7,000, 8,000, 9,000, 10,000, 12,000, 14,000, 16,000, 18,000, 20,000, 25,000, 30,000, 35,000, 40,000, 45,000, 50,000, 60,000, 70,000, 80,000, or 90,000, or more; and B=15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800, 900, 1,000, 1,250, 1,500, 1,750, 2,000, 2,500, 3,000, 3,500, 4,000, 5,000, 6,000, 7,000, 8,000, 9,000, 10,000, 12,000, 14,000, 16,000, 18,000, 20,000, 25,000, 30,000, 35,000, 40,000, 45,000, 50,000, 60,000, 70,000, 80,000, 90,000, or 100,000 or more.
Embodiment 31. The method of any of Embodiments 1, 3 or 4, wherein said plurality of DNA molecules comprises at least some length of intronic sequence adjacent to at least one of said one or more exons.
Embodiment 32. The method of Embodiment 31, wherein said plurality of DNA molecules comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 200, 300, 400, 500 or more base pairs of the intronic sequence on one or both sides of the at least one exon.
Embodiment 33. The method of any one of Embodiments 1-10, 21-23, 26-28, or 30-32, whereinW =2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, or 69 or more; and X=3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800, 900, 1,000, 1,250, 1,500, 1,750, 2,000, 2,500, 3,000, 3,500, 4,000, 5,000, 6,000, 7,000, 8,000, 9,000, 10,000, 12,000, 14,000, 16,000, 18,000, or 20,000 or more.
Embodiment 34. The system of any one of Embodiments 10-13, 24, 25, or 29, wherein W=2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, or 69 or more; and X=3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 25, 30, 35, 40, 45, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800, 900, 1,000, 1,250, 1,500, 1,750, 2,000, 2,500, 3,000, 3,500, 4,000, 5,000, 6,000, 7,000, 8,000, 9,000, 10,000, 12,000, 14,000, 16,000, 18,000, or 20,000 or more.
Embodiment 35. The method of any one of Embodiments 1-10, 21-23, 26-28, or 30-33, wherein said plurality of genes comprises at least 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, or 69 genes listed in any of Panels A-Y.
Embodiment 36. The system of any one of Embodiments 10-13, 24, 25, 29, or 34, wherein said plurality of genes comprises at least 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, or 69 genes listed in any of Panels A-Y.
Embodiment 37. The method of any one of Embodiments 1-10, 21-23, 26-28, 30-33, or 35, wherein the plurality of genes comprises gene numbers between Y and Z of any of Panels A-Y and Y=1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67 or 68 and Z=2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, or 69.
Embodiment 38. The method of any one of Embodiments 1-10, 21-23, 26-28, 30-33, 35, or 37, wherein said plurality of genes comprises gene numbers 1 & 2, 2 & 3, 3 & 4, 4 &5, 5 & 6, 6 & 7, 7 & 8, 8 & 9, 9 & 10, 10 & 11, 11 & 12, 12 & 13, 13 & 14, 14 & 15, 15 &16, 16 & 17, 17 & 18, 18 & 19, 19 & 20, 20 & 21, 21 & 22, 22 & 23, 23 & 24, 24 & 25, 25 & 26, 26 & 27, 27 & 28, 28 & 29, 29 & 30, 30 & 31, 31 & 32, 32 & 33, 33 & 34, 34 & 35, 35 & 36, 36 & 37, 37 & 38, 38 & 39, 39 & 40, 40 & 41, 41 & 42, 42 & 43, 43 & 44, 44 & 45, 45 & 46, 46 & 47, 47 & 48, 48 & 49, 49 & 50, 50 & 51, 51 & 52, 52 & 53, 53 & 54, 54 & 55, 55 & 56, 56 & 57, 57 & 58, 58 & 59, 59 & 60, 60 & 61, 61 & 62, 62 & 63, 63 & 64, 64 & 65, 65 & 66, 66 & 67, 67 & 68, or 68 & 69 of any of Panels A-Y.
Embodiment 39. The method of any one of Embodiments 1-10, 21-23, 26-28, 30-33, 35, or 37-38, wherein the genes chosen from Panels A-Y comprise at least 1%, 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%, 11%, 12%, 13%, 14%, 15%, 16%, 17%, 18%, 19%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 60%, 70%, 80%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%, of the plurality of genes to be analyzed.
Embodiment 40. The system of any one of Embodiments 10-13, 24, 25, 29, 34, or 36, wherein said plurality of genes comprises at least 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, or 69 genes listed in any of Panels A-Y.
Embodiment 41. The system of any one of Embodiments 10-13, 24, 25, 29, 34, 36, or 40, wherein the plurality of genes comprises gene numbers between Y and Z of any of Panels A-Y and Y=1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67 or 68 and Z=2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, or 69.
Embodiment 42. The system of any one of Embodiments 10-13, 24, 25, 29, 34, 36, or 40-41, wherein said plurality of genes comprises gene numbers 1 & 2, 2 & 3, 3 & 4, 4 & 5, 5 & 6, 6 & 7, 7 & 8, 8 & 9, 9 & 10, 10 & 11, 11 & 12, 12 & 13, 13 & 14, 14 & 15, 15 & 16, 16 & 17, 17 & 18, 18 & 19, 19 & 20, 20 & 21, 21 & 22, 22 & 23, 23 & 24, 24 & 25, 25 & 26, 26 & 27, 27 & 28, 28 & 29, 29 & 30, 30 & 31, 31 & 32, 32 & 33, 33 & 34, 34 & 35, 35 & 36, 36 & 37, 37 & 38, 38 & 39, 39 & 40, 40 & 41, 41 & 42, 42 & 43, 43 & 44, 44 & 45, 45 & 46, 46 & 47, 47 & 48, 48 & 49, 49 & 50, 50 & 51, 51 & 52, 52 & 53, 53 & 54, 54 & 55, 55 & 56, 56 & 57, 57 & 58, 58 & 59, 59 & 60, 60 & 61, 61 & 62, 62 & 63, 63 & 64, 64 & 65, 65 & 66, 66 & 67, 67 & 68, or 68 & 69 of any of Panels A-Y.
Embodiment 43. The system of any one of Embodiments 10-13, 24, 25, 29, 34, 36, or 40-42, wherein the genes chosen from Panels A-Y comprise at least 1%, 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%, 11%, 12%, 13%, 14%, 15%, 16%, 17%, 18%, 19%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 60%, 70%, 80%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%, of the plurality of genes to be analyzed.
All publications and patent applications mentioned in the specification are indicative of the level of those skilled in the art to which this disclosure pertains. All publications and patent applications are herein incorporated by reference to the same extent as if each individual publication or patent application was specifically and individually indicated to be incorporated by reference. The mere mentioning of the publications and patent applications does not necessarily constitute an admission that they are prior art to the instant application.
Although the foregoing disclosure has been described in some detail by way of illustration and example for purposes of clarity of understanding, it will be obvious that certain changes and modifications may be practiced within the scope of the appended claims.
This application claims priority to U.S. provisional application No. 62/005,480, filed May 30, 2014 the entire contents of which are hereby incorporated by reference.
| Number | Date | Country | |
|---|---|---|---|
| 62005480 | May 2014 | US |
