OPTIMIZATION OF MULTIGENE ANALYSIS OF TUMOR SAMPLES
First Claim
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1. A method of analyzing a tumor sample, comprising:
- (a) acquiring a library comprising a plurality of tumor members from a tumor sample;
(b) contacting the library with a plurality of bait sets to provide selected members, thereby providing a library catch;
(c) acquiring a read for a subgenomic interval from a tumor member from said library or library catch;
(d) aligning said read; and
(e) assigning a nucleotide value from said read for a preselected nucleotide position for a preselected nucleotide position in each of a plurality of subgenomic intervals, thereby analyzing said tumor sample,whereineach of X nucleotide positions is analyzed under a unique set of conditions for one or a combination of steps (b), (c), (d), or (e) and wherein X is at least 10, 20, 30, 40, 50, 100, 200, 300 or 500, wherein unique means different from the other X−
1 sets of conditions.
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Abstract
A method of analyzing a tumor sample comprising:
- (a) acquiring a library comprising a plurality of tumor members from a tumor sample;
- (b) contacting the library with a bait set to provide selected members;
- (c) acquiring a read for a subgenomic interval from a tumor member from said library;
- (d) aligning said read; and
- (e) assigning a nucleotide value (e.g., calling a mutation) from said read for the preselected nucleotide position, thereby analyzing said tumor sample.
154 Citations
34 Claims
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1. A method of analyzing a tumor sample, comprising:
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(a) acquiring a library comprising a plurality of tumor members from a tumor sample; (b) contacting the library with a plurality of bait sets to provide selected members, thereby providing a library catch; (c) acquiring a read for a subgenomic interval from a tumor member from said library or library catch; (d) aligning said read; and (e) assigning a nucleotide value from said read for a preselected nucleotide position for a preselected nucleotide position in each of a plurality of subgenomic intervals, thereby analyzing said tumor sample, wherein each of X nucleotide positions is analyzed under a unique set of conditions for one or a combination of steps (b), (c), (d), or (e) and wherein X is at least 10, 20, 30, 40, 50, 100, 200, 300 or 500, wherein unique means different from the other X−
1 sets of conditions.- View Dependent Claims (2, 3, 4, 5, 23, 24, 25, 29, 33, 34)
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6. A method of analyzing a tumor sample, comprising:
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(a) acquiring a library comprising a plurality members from a tumor sample; (b) enriching the library for preselected sequences by contacting the library with a plurality of bait sets to provide selected members, thereby producing a library catch; (c) acquiring a read for a subgenomic interval from a tumor member from said library or library catch by a next generation sequencing method; (d) aligning said read by an alignment method; and (e) assigning a nucleotide value from said read for the preselected nucleotide position, thereby analyzing said tumor sample, wherein a read from each of X unique subgenomic intervals is aligned with a unique alignment method and X is at least 2, 10, 15, 20, 30, 50, 100, 500, or 1,000, wherein unique subgenomic interval means different from the other X−
1 subgenomic intervals, and wherein unique alignment method means different from the other X−
1 alignment methods. - View Dependent Claims (7, 8, 9)
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10. A method of analyzing a tumor sample, comprising:
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(a) acquiring a library comprising a plurality members from a tumor sample; (b) enriching the library for preselected sequences by contacting the library with a plurality of bait sets to provide selected members, thereby providing a library catch; (c) acquiring a read for a subgenomic interval from a tumor member from said library or library catch; (d) aligning said read by an alignment method; and (e) assigning a nucleotide value from said read for the preselected nucleotide position, thereby analyzing said tumor sample. wherein a nucleotide value assigned for a nucleotide position in each of X unique subgenomic intervals is assigned by a unique calling method and X is at least 2, wherein unique subgenomic interval means different from the other X−
1 subgenoimc intervals, and wherein unique calling method means different from the other X−
1 calling methods, wherein the calling methods can differ by relying on different Bayesian prior values chosen from a first calling method applied to a first nucleotide position is a function of a first Bayesian prior and a second calling method applied to a second nucleotide position is a function of a second Bayesian prior. - View Dependent Claims (11)
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12. A method of analyzing the sequence of a tumor sample comprising:
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(a) acquiring a plurality of duplicates of a subgenomic interval; (b) acquiring a read for each of said plurality of duplicates to provide a plurality of duplicate reads; (c) comparing the nucleotide values at a first nucleotide position in each of said plurality of duplicate reads; (d) comparing the nucleotide values at second nucleotide position in each of said plurality of duplicate reads, wherein, for one of the nucleotide positions, each of said plurality of reads does not have the same nucleotide value, and, for the other of said nucleotide positions, each of said plurality of reads has the same nucleotide value; (e) assigning a first classifier, said first classifier having a quality score or a duplicate-adjusted nucleotide value, to the nucleotide value at the position not having the same nucleotide value in all of said plurality of reads, (f) assigning a second classifier, said second classified having a quality score or a duplicate-adjusted nucleotide value, to the nucleotide value at the position having the same nucleotide value for each plurality of the reads, wherein said first classifier indicates a first level of quality or confidence that the nucleotide value to which it is assigned is correct and said second classifier indicates a second level of quality or confidence that the nucleotide value to which it is assigned is correct and said first level is equal to or lower than a preselected criterion.
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13. A method of analyzing a tumor sample, comprising:
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acquiring a library comprising a plurality of tumor members from a tumor sample;
selected members, thereby providing a library catch;acquiring a read for a subgenomic interval from a tumor member from said library or library catch by a next generation sequencing method; aligning said read; and assigning a nucleotide value from said read for a preselected nucleotide position in each of a plurality of subgenomic intervals, thereby analyzing said tumor sample, wherein wherein the method comprises one or 2, 3, 4 or 5 of; a) sequencing a first subgenomic interval to provide for about 500×
or higher sequencing depth, thereby detecting a mutation present in no more than 5% of the cells from the sample;b) sequencing a second subgenomic interval to provide for about 200×
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about 500×
sequencing depth, thereby detecting a mutation present in no more than 10% of the cells from the sample;c) sequencing a third subgenomic interval to provide for about 10-100×
sequencing depth, wherein the subgenomic interval is chosen from one or more of;
a) a pharmacogenomic (PGx) single nucleotide polymorphism (SNP) that distinguishes the ability of a patient to metabolize different drugs, or b) a genomic SNPs that uniquely identifies a patient;d) sequencing a fourth subgenomic interval to provide for about 5-50×
sequencing depth to detect a structural breakpoint;
ore) sequencing a fifth subgenomic interval to provide for about 100-300×
sequencing depth, to detect copy number changes, e.g., to detect a genomic SNPs/loci that is used to assess copy number gains/losses of genomic DNA or loss-of-heterozygosity (LOH).
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14. A method of analyzing a tumor sample, comprising:
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(a) acquiring a library comprising a plurality of tumor members from a tumor sample; (b) contacting the library with a bait set to provide selected members, thereby providing a library catch; (c) acquiring a read for a subgenomic interval from a tumor member from said library or library catch by a next generation sequencing method; (d) aligning said read by an alignment method; and (e) assigning a nucleotide value from said read for the preselected nucleotide position, thereby analyzing said tumor sample, wherein the method comprises contacting the library with at least two, three, four, or five, of bait sets, wherein each bait set of said plurality has a unique (as opposed to the other bait sets in the plurality), preselected efficiency for selection for its target, wherein the efficiency of selection of a first bait set in the plurality differs from the efficiency of a second bait set in the plurality by at least 2 fold. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 26, 27, 28)
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30. A plurality of bait sets chosen from one, two, three, four, five, six, seven, eight, nine, ten, eleven, twelve, or all A-M of the following:
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A. A bait set that selects an exon sequence that includes a single nucleotide alteration associated with a cancerous phenotype; B. A bait set that selects an in-frame deletion of 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 or more codons from a reference nucleotide sequence; C. A bait set that selects an intragenic deletion; D. A bait set that selects an intragenic insertion; E. A bait set that selects a deletion of a full gene; F. A bait set that selects an inversion; G. A bait set that selects an interchromosal translocation; H. A bait set that selects a tandem duplication; I. A bait set that selects a nucleotide sequence of interest flanked by adjacent non-repetitive sequences; J. A bait set that selects one or more subgenomic intervals corresponding to a fusion sequence; K. A bait set that selects a subgenomic interval adjacent to a nucleotide sequence that includes an undesirable feature chosen from a nucleotide sequence of high GC content, or a nucleotide sequence including one or more repeated elements and/or inverted repeats; L. A bait set that selects a genomic rearrangement that includes an intron sequence from a 5′
or 3′
-UTR;
orM. A bait set that selects a subgenomic interval that includes an exon adjacent to a cancer associated gene fusion. - View Dependent Claims (31)
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32. A method for determining the presence or absence of an alteration associated positively or negatively, with a cancerous phenotype, comprising:
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(a) acquiring a library comprising a a plurality of tumor members from a tumor sample; (b) enriching the library for preselected sequences by contacting the library with a plurality of bait sets to provide selected members; (c) acquiring a read for a subgenomic interval from a tumor member from said library by a next generation sequencing method; (d) aligning said read by an alignment method; and (e) assigning a nucleotide value from said read for the preselected nucleotide position, thereby analyzing said tumor sample, wherein the method comprises sequencing a subgenomic interval from at least twenty, twenty-five, thirty or more genes or gene products from the sample, wherein the genes or gene products are chosen from;
ABL1, AKT1, AKT2, AKT3, ALK, APC, AR, BRAF, CCND1, CDK4, CDKN2A, CEBPA, CTNNB1, EGFR, ERBB2, ESR1, FGFR1, FGFR2, FGFR3, FLT3, HRAS, JAK2, KIT, KRAS, MAP2K1, MAP2K2, MET, MLL, MYC, NF1, NOTCH1, NPM1, NRAS, NTRK3, PDGFRA, PIK3CA, PIK3CG, PIK3R1, PTCH1, PTCH2, PTEN, RB1, RET, SMO, STK11, SUFU, or TP53.
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Specification