This report serves to describe the mutational landscape and properties of a given individual set, as well as rank genes and genesets according to mutational significance. MutSig v2.0 was used to generate the results found in this report.
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Working with individual set: STAD-TP
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Number of patients in set: 395
The input for this pipeline is a set of individuals with the following files associated for each:
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An annotated .maf file describing the mutations called for the respective individual, and their properties.
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A .wig file that contains information about the coverage of the sample.
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MAF used for this analysis:STAD-TP.final_analysis_set.maf
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Blacklist used for this analysis: pancan_mutation_blacklist.v14.hg19.txt
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Significantly mutated genes (q ≤ 0.1): 206
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Mutations seen in COSMIC: 852
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Significantly mutated genes in COSMIC territory: 62
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Significantly mutated genesets: 21
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Significantly mutated genesets: (excluding sig. mutated genes):0
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Read 395 MAFs of type "maf1"
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Total number of mutations in input MAFs: 208988
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After removing 103 mutations outside chr1-24: 208885
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After removing 7493 blacklisted mutations: 201392
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After removing 15358 noncoding mutations: 186034
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After collapsing adjacent/redundant mutations: 177223
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Number of mutations before filtering: 177223
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After removing 9712 mutations outside gene set: 167511
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After removing 747 mutations outside category set: 166764
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After removing 4 "impossible" mutations in
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gene-patient-category bins of zero coverage: 156301
Table 1. Get Full Table Table representing breakdown of mutations by type.
| type | count |
|---|---|
| De_novo_Start_InFrame | 23 |
| De_novo_Start_OutOfFrame | 45 |
| Frame_Shift_Del | 13976 |
| Frame_Shift_Ins | 3838 |
| In_Frame_Del | 1248 |
| In_Frame_Ins | 192 |
| Missense_Mutation | 98594 |
| Nonsense_Mutation | 5211 |
| Nonstop_Mutation | 101 |
| Silent | 38054 |
| Splice_Site | 5307 |
| Start_Codon_Del | 27 |
| Start_Codon_Ins | 10 |
| Start_Codon_SNP | 99 |
| Stop_Codon_Del | 29 |
| Stop_Codon_Ins | 10 |
| Total | 166764 |
Table 2. Get Full Table A breakdown of mutation rates per category discovered for this individual set.
| category | n | N | rate | rate_per_mb | relative_rate | exp_ns_s_ratio |
|---|---|---|---|---|---|---|
| *CpG->T | 36974 | 639196665 | 0.000058 | 58 | 5.2 | 2.1 |
| *Cp(A/C/T)->T | 16505 | 5250451690 | 3.1e-06 | 3.1 | 0.28 | 1.7 |
| A->G | 17072 | 5670926268 | 3e-06 | 3 | 0.27 | 2.3 |
| transver | 28140 | 11560574623 | 2.4e-06 | 2.4 | 0.22 | 5 |
| indel+null | 29306 | 11560574623 | 2.5e-06 | 2.5 | 0.23 | NaN |
| double_null | 711 | 11560574623 | 6.2e-08 | 0.062 | 0.0055 | NaN |
| Total | 128708 | 11560574623 | 0.000011 | 11 | 1 | 3.5 |
The x axis represents the samples. The y axis represents the exons, one row per exon, and they are sorted by average coverage across samples. For exons with exactly the same average coverage, they are sorted next by the %GC of the exon. (The secondary sort is especially useful for the zero-coverage exons at the bottom). If the figure is unpopulated, then full coverage is assumed (e.g. MutSig CV doesn't use WIGs and assumes full coverage).
Figure 1.
Figure 2. Patients counts and rates file used to generate this plot: STAD-TP.patients.counts_and_rates.txt
The mutation spectrum is depicted in the lego plots below in which the 96 possible mutation types are subdivided into six large blocks, color-coded to reflect the base substitution type. Each large block is further subdivided into the 16 possible pairs of 5' and 3' neighbors, as listed in the 4x4 trinucleotide context legend. The height of each block corresponds to the mutation frequency for that kind of mutation (counts of mutations normalized by the base coverage in a given bin). The shape of the spectrum is a signature for dominant mutational mechanisms in different tumor types.
Figure 3. Get High-res Image SNV Mutation rate lego plot for entire set. Each bin is normalized by base coverage for that bin. Colors represent the six SNV types on the upper right. The three-base context for each mutation is labeled in the 4x4 legend on the lower right. The fractional breakdown of SNV counts is shown in the pie chart on the upper left. If this figure is blank, not enough information was provided in the MAF to generate it.
Figure 4. Get High-res Image SNV Mutation rate lego plots for 4 slices of mutation allele fraction (0<=AF<0.1, 0.1<=AF<0.25, 0.25<=AF<0.5, & 0.5<=AF) . The color code and three-base context legends are the same as the previous figure. If this figure is blank, not enough information was provided in the MAF to generate it.
Column Descriptions:
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N = number of sequenced bases in this gene across the individual set
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n = number of (nonsilent) mutations in this gene across the individual set
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npat = number of patients (individuals) with at least one nonsilent mutation
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nsite = number of unique sites having a non-silent mutation
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nsil = number of silent mutations in this gene across the individual set
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n1 = number of nonsilent mutations of type: *CpG->T
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n2 = number of nonsilent mutations of type: *Cp(A/C/T)->T
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n3 = number of nonsilent mutations of type: A->G
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n4 = number of nonsilent mutations of type: transver
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n5 = number of nonsilent mutations of type: indel+null
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n6 = number of nonsilent mutations of type: double_null
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p_classic = p-value for the observed amount of nonsilent mutations being elevated in this gene
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p_ns_s = p-value for the observed nonsilent/silent ratio being elevated in this gene
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p_cons = p-value for enrichment of mutations at evolutionarily most-conserved sites in gene
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p_joint = p-value for clustering + conservation
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p = p-value (overall)
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q = q-value, False Discovery Rate (Benjamini-Hochberg procedure)
Table 3. Get Full Table A Ranked List of Significantly Mutated Genes. Number of significant genes found: 206. Number of genes displayed: 35. Click on a gene name to display its stick figure depicting the distribution of mutations and mutation types across the chosen gene (this feature may not be available for all significant genes).
| rank | gene | description | N | n | npat | nsite | nsil | n1 | n2 | n3 | n4 | n5 | n6 | p_classic | p_ns_s | p_clust | p_cons | p_joint | p | q |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | PIK3CA | phosphoinositide-3-kinase, catalytic, alpha polypeptide | 1293660 | 80 | 65 | 35 | 2 | 13 | 27 | 27 | 10 | 3 | 0 | 7.99e-15 | 2.04e-09 | 0.000016 | 0.0018 | 2.6e-06 | 0.000 | 0.000 |
| 2 | TP53 | tumor protein p53 | 483681 | 200 | 190 | 112 | 2 | 57 | 22 | 20 | 30 | 69 | 2 | <1.00e-15 | <1.00e-15 | 0 | 0 | 0 | <1.00e-15 | <5.32e-13 |
| 3 | RNF43 | ring finger protein 43 | 858239 | 56 | 45 | 23 | 2 | 3 | 4 | 3 | 1 | 38 | 7 | 9.33e-15 | 0.0676 | 0 | 0.38 | 0 | <1.00e-15 | <5.32e-13 |
| 4 | PGM5 | phosphoglucomutase 5 | 543793 | 41 | 39 | 9 | 3 | 8 | 0 | 25 | 1 | 7 | 0 | 1.04e-14 | 0.000510 | 0 | 1 | 0 | <1.00e-15 | <5.32e-13 |
| 5 | KRT75 | keratin 75 | 665820 | 40 | 38 | 10 | 3 | 3 | 3 | 1 | 31 | 2 | 0 | 6.66e-15 | 0.0103 | 0 | 0.083 | 0 | <1.00e-15 | <5.32e-13 |
| 6 | XYLT2 | xylosyltransferase II | 889238 | 43 | 38 | 15 | 5 | 8 | 1 | 3 | 0 | 30 | 1 | 4.10e-06 | 0.595 | 0 | 0.97 | 0 | <1.00e-15 | <5.32e-13 |
| 7 | KRAS | v-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog | 271649 | 37 | 37 | 6 | 0 | 0 | 30 | 0 | 7 | 0 | 0 | 3.89e-15 | 2.65e-05 | 0 | 0.0032 | 0 | <1.00e-15 | <5.32e-13 |
| 8 | ZBTB20 | zinc finger and BTB domain containing 20 | 803913 | 45 | 37 | 17 | 11 | 9 | 4 | 2 | 1 | 28 | 1 | 0.0716 | 0.782 | 0 | 0.92 | 0 | <1.00e-15 | <5.32e-13 |
| 9 | BRD8 | bromodomain containing 8 | 1615552 | 35 | 34 | 12 | 1 | 2 | 2 | 1 | 27 | 3 | 0 | 1.68e-08 | 0.00307 | 0 | 1 | 0 | <1.00e-15 | <5.32e-13 |
| 10 | CDH1 | cadherin 1, type 1, E-cadherin (epithelial) | 1003383 | 33 | 32 | 29 | 3 | 3 | 6 | 6 | 11 | 7 | 0 | 1.31e-14 | 0.00501 | 0.000026 | 0.0003 | 0 | <1.00e-15 | <5.32e-13 |
| 11 | FHOD3 | formin homology 2 domain containing 3 | 1634806 | 35 | 30 | 22 | 2 | 9 | 3 | 2 | 4 | 17 | 0 | 0.00169 | 0.0175 | 0.000059 | 0.00058 | 0 | <1.00e-15 | <5.32e-13 |
| 12 | LARP4B | La ribonucleoprotein domain family, member 4B | 882273 | 33 | 30 | 12 | 3 | 3 | 1 | 1 | 1 | 27 | 0 | 9.50e-06 | 0.357 | 0 | 0.74 | 0 | <1.00e-15 | <5.32e-13 |
| 13 | SMAD4 | SMAD family member 4 | 667940 | 31 | 28 | 25 | 1 | 7 | 6 | 0 | 12 | 5 | 1 | 3.66e-15 | 0.00737 | 0 | 0.4 | 0 | <1.00e-15 | <5.32e-13 |
| 14 | MCM8 | minichromosome maintenance complex component 8 | 1023288 | 29 | 27 | 12 | 4 | 2 | 19 | 4 | 3 | 1 | 0 | 3.95e-06 | 0.0483 | 0 | 0.0068 | 0 | <1.00e-15 | <5.32e-13 |
| 15 | P4HTM | prolyl 4-hydroxylase, transmembrane (endoplasmic reticulum) | 546563 | 27 | 26 | 8 | 1 | 4 | 1 | 1 | 21 | 0 | 0 | 1.24e-11 | 0.00771 | 0 | 1 | 0 | <1.00e-15 | <5.32e-13 |
| 16 | CBWD1 | COBW domain containing 1 | 385130 | 22 | 21 | 3 | 2 | 0 | 0 | 1 | 1 | 20 | 0 | 4.01e-08 | 0.232 | 0 | 4e-07 | 0 | <1.00e-15 | <5.32e-13 |
| 17 | FRMD4A | FERM domain containing 4A | 1108415 | 21 | 21 | 9 | 3 | 4 | 2 | 0 | 0 | 14 | 1 | 0.110 | 0.420 | 0.000012 | 0.00035 | 0 | <1.00e-15 | <5.32e-13 |
| 18 | RHOA | ras homolog gene family, member A | 236210 | 20 | 19 | 15 | 0 | 2 | 4 | 4 | 9 | 1 | 0 | 1.08e-14 | 0.00434 | 0 | 0.54 | 0 | <1.00e-15 | <5.32e-13 |
| 19 | ZBTB7C | zinc finger and BTB domain containing 7C | 598537 | 19 | 17 | 9 | 7 | 3 | 1 | 0 | 0 | 15 | 0 | 0.0266 | 0.995 | 4e-07 | 0.002 | 0 | <1.00e-15 | <5.32e-13 |
| 20 | DDX17 | DEAD (Asp-Glu-Ala-Asp) box polypeptide 17 | 797836 | 15 | 15 | 5 | 1 | 1 | 0 | 0 | 1 | 13 | 0 | 0.0658 | 0.898 | 0 | 1 | 0 | <1.00e-15 | <5.32e-13 |
| 21 | MVK | mevalonate kinase | 473133 | 15 | 15 | 6 | 1 | 1 | 1 | 0 | 3 | 10 | 0 | 0.00268 | 0.417 | 1e-05 | 0.0001 | 0 | <1.00e-15 | <5.32e-13 |
| 22 | GLT6D1 | glycosyltransferase 6 domain containing 1 | 333346 | 14 | 14 | 5 | 2 | 0 | 0 | 1 | 12 | 1 | 0 | 2.97e-07 | 0.356 | 0.000018 | 0 | 0 | <1.00e-15 | <5.32e-13 |
| 23 | HOXD8 | homeobox D8 | 249415 | 14 | 13 | 6 | 1 | 0 | 0 | 0 | 2 | 10 | 2 | 5.90e-05 | 0.854 | 0 | 0.97 | 0 | <1.00e-15 | <5.32e-13 |
| 24 | GNG12 | guanine nucleotide binding protein (G protein), gamma 12 | 89651 | 12 | 12 | 4 | 2 | 0 | 1 | 1 | 0 | 10 | 0 | 1.06e-07 | 0.812 | 2e-07 | 0.33 | 0 | <1.00e-15 | <5.32e-13 |
| 25 | WNT16 | wingless-type MMTV integration site family, member 16 | 446967 | 14 | 12 | 6 | 1 | 2 | 1 | 1 | 1 | 9 | 0 | 0.0105 | 0.364 | 0.00023 | 1.6e-06 | 0 | <1.00e-15 | <5.32e-13 |
| 26 | GAB2 | GRB2-associated binding protein 2 | 806322 | 12 | 11 | 6 | 6 | 1 | 0 | 1 | 8 | 2 | 0 | 0.997 | 0.960 | 0.000012 | 0.0013 | 0 | <1.00e-15 | <5.32e-13 |
| 27 | PLA2G1B | phospholipase A2, group IB (pancreas) | 182885 | 8 | 8 | 1 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 4.77e-05 | 0.316 | 0 | 0.89 | 0 | <1.00e-15 | <5.32e-13 |
| 28 | KLRK1 | killer cell lectin-like receptor subfamily K, member 1 | 260202 | 5 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 5 | 0 | 0.149 | 1.000 | 0 | 0.091 | 0 | <1.00e-15 | <5.32e-13 |
| 29 | RHOQ | ras homolog gene family, member Q | 250532 | 5 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0.218 | 1.000 | 0 | 1 | 0 | <1.00e-15 | <5.32e-13 |
| 30 | HIATL1 | hippocampus abundant transcript-like 1 | 569276 | 4 | 4 | 4 | 0 | 1 | 0 | 0 | 1 | 2 | 0 | 0.865 | 0.151 | 0.2 | 0 | 0 | <1.00e-15 | <5.32e-13 |
| 31 | DOLPP1 | dolichyl pyrophosphate phosphatase 1 | 295684 | 3 | 3 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0.704 | 0.212 | 0.8 | 0 | 0 | <1.00e-15 | <5.32e-13 |
| 32 | CDK1 | cyclin-dependent kinase 1 | 365539 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0.663 | 0.899 | 0.24 | 0 | 0 | <1.00e-15 | <5.32e-13 |
| 33 | RAB4B | RAB4B, member RAS oncogene family | 251808 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.551 | 0.577 | 0.16 | 0 | 0 | <1.00e-15 | <5.32e-13 |
| 34 | ROPN1B | ropporin, rhophilin associated protein 1B | 245810 | 2 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0.712 | 0.711 | 0.89 | 0 | 0 | <1.00e-15 | <5.32e-13 |
| 35 | B2M | beta-2-microglobulin | 146873 | 23 | 18 | 16 | 1 | 0 | 2 | 2 | 2 | 12 | 5 | 1.31e-14 | 0.155 | 0.0082 | 0.66 | 0.018 | 8.77e-15 | 4.54e-12 |
Figure S1. This figure depicts the distribution of mutations and mutation types across the PIK3CA significant gene.
Figure S2. This figure depicts the distribution of mutations and mutation types across the TP53 significant gene.
Figure S3. This figure depicts the distribution of mutations and mutation types across the RNF43 significant gene.
Figure S4. This figure depicts the distribution of mutations and mutation types across the PGM5 significant gene.
Figure S5. This figure depicts the distribution of mutations and mutation types across the KRT75 significant gene.
Figure S6. This figure depicts the distribution of mutations and mutation types across the XYLT2 significant gene.
Figure S7. This figure depicts the distribution of mutations and mutation types across the KRAS significant gene.
Figure S8. This figure depicts the distribution of mutations and mutation types across the ZBTB20 significant gene.
Figure S9. This figure depicts the distribution of mutations and mutation types across the BRD8 significant gene.
Figure S10. This figure depicts the distribution of mutations and mutation types across the CDH1 significant gene.
Figure S11. This figure depicts the distribution of mutations and mutation types across the FHOD3 significant gene.
Figure S12. This figure depicts the distribution of mutations and mutation types across the LARP4B significant gene.
Figure S13. This figure depicts the distribution of mutations and mutation types across the SMAD4 significant gene.
Figure S14. This figure depicts the distribution of mutations and mutation types across the MCM8 significant gene.
Figure S15. This figure depicts the distribution of mutations and mutation types across the P4HTM significant gene.
Figure S16. This figure depicts the distribution of mutations and mutation types across the CBWD1 significant gene.
Figure S17. This figure depicts the distribution of mutations and mutation types across the FRMD4A significant gene.
Figure S18. This figure depicts the distribution of mutations and mutation types across the RHOA significant gene.
Figure S19. This figure depicts the distribution of mutations and mutation types across the ZBTB7C significant gene.
Figure S20. This figure depicts the distribution of mutations and mutation types across the DDX17 significant gene.
Figure S21. This figure depicts the distribution of mutations and mutation types across the MVK significant gene.
Figure S22. This figure depicts the distribution of mutations and mutation types across the GLT6D1 significant gene.
Figure S23. This figure depicts the distribution of mutations and mutation types across the HOXD8 significant gene.
Figure S24. This figure depicts the distribution of mutations and mutation types across the GNG12 significant gene.
Figure S25. This figure depicts the distribution of mutations and mutation types across the WNT16 significant gene.
Figure S26. This figure depicts the distribution of mutations and mutation types across the GAB2 significant gene.
Figure S27. This figure depicts the distribution of mutations and mutation types across the PLA2G1B significant gene.
Figure S28. This figure depicts the distribution of mutations and mutation types across the KLRK1 significant gene.
Figure S29. This figure depicts the distribution of mutations and mutation types across the RHOQ significant gene.
Figure S30. This figure depicts the distribution of mutations and mutation types across the HIATL1 significant gene.
Figure S31. This figure depicts the distribution of mutations and mutation types across the DOLPP1 significant gene.
Figure S32. This figure depicts the distribution of mutations and mutation types across the CDK1 significant gene.
Figure S33. This figure depicts the distribution of mutations and mutation types across the RAB4B significant gene.
Figure S34. This figure depicts the distribution of mutations and mutation types across the ROPN1B significant gene.
In this analysis, COSMIC is used as a filter to increase power by restricting the territory of each gene. Cosmic version: v48.
Table 4. Get Full Table Significantly mutated genes (COSMIC territory only). To access the database please go to: COSMIC. Number of significant genes found: 62. Number of genes displayed: 10
| rank | gene | description | n | cos | n_cos | N_cos | cos_ev | p | q |
|---|---|---|---|---|---|---|---|---|---|
| 1 | TP53 | tumor protein p53 | 200 | 356 | 188 | 140620 | 51271 | 0 | 0 |
| 2 | PTEN | phosphatase and tensin homolog (mutated in multiple advanced cancers 1) | 36 | 767 | 36 | 302965 | 1199 | 0 | 0 |
| 3 | ERBB3 | v-erb-b2 erythroblastic leukemia viral oncogene homolog 3 (avian) | 43 | 6 | 8 | 2370 | 8 | 8.9e-14 | 1.3e-10 |
| 4 | APC | adenomatous polyposis coli | 53 | 839 | 27 | 331405 | 599 | 3.2e-13 | 3.7e-10 |
| 5 | ERBB2 | v-erb-b2 erythroblastic leukemia viral oncogene homolog 2, neuro/glioblastoma derived oncogene homolog (avian) | 23 | 42 | 10 | 16590 | 84 | 5.4e-13 | 4.1e-10 |
| 6 | NOS3 | nitric oxide synthase 3 (endothelial cell) | 15 | 6 | 6 | 2370 | 6 | 5.4e-13 | 4.1e-10 |
| 7 | KRAS | v-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog | 37 | 52 | 36 | 20540 | 303856 | 6.3e-13 | 4.1e-10 |
| 8 | FBXW7 | F-box and WD repeat domain containing 7 | 32 | 91 | 20 | 35945 | 1084 | 9.3e-13 | 5.2e-10 |
| 9 | SMAD4 | SMAD family member 4 | 31 | 159 | 26 | 62805 | 92 | 1.2e-12 | 5.2e-10 |
| 10 | CDH1 | cadherin 1, type 1, E-cadherin (epithelial) | 33 | 185 | 17 | 73075 | 55 | 1.2e-12 | 5.2e-10 |
Note:
n - number of (nonsilent) mutations in this gene across the individual set.
cos = number of unique mutated sites in this gene in COSMIC
n_cos = overlap between n and cos.
N_cos = number of individuals times cos.
cos_ev = total evidence: number of reports in COSMIC for mutations seen in this gene.
p = p-value for seeing the observed amount of overlap in this gene)
q = q-value, False Discovery Rate (Benjamini-Hochberg procedure)
Table 5. Get Full Table A Ranked List of Significantly Mutated Genesets. (Source: MSigDB GSEA Cannonical Pathway Set).Number of significant genesets found: 21. Number of genesets displayed: 10
| rank | geneset | description | genes | N_genes | mut_tally | N | n | npat | nsite | nsil | n1 | n2 | n3 | n4 | n5 | n6 | p_ns_s | p | q |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | ARFPATHWAY | Cyclin-dependent kinase inhibitor 2A is a tumor suppressor that induces G1 arrest and can activate the p53 pathway, leading to G2/M arrest. | ABL1, CDKN2A, E2F1, MDM2, MYC, PIK3CA, PIK3R1, POLR1A, POLR1B, POLR1C, POLR1D, RAC1, RB1, TBX2, TP53, TWIST1 | 16 | ABL1(10), CDKN2A(17), E2F1(4), MDM2(8), MYC(6), PIK3CA(80), PIK3R1(12), POLR1A(19), POLR1B(8), POLR1C(4), POLR1D(4), RAC1(1), RB1(14), TBX2(10), TP53(200), TWIST1(3) | 11920579 | 400 | 265 | 261 | 39 | 100 | 58 | 65 | 60 | 112 | 5 | <1.00e-15 | <1.00e-15 | <1.03e-13 |
| 2 | ATRBRCAPATHWAY | BRCA1 and 2 block cell cycle progression in response to DNA damage and promote double-stranded break repair; mutations induce breast cancer susceptibility. | ATM, ATR, BRCA1, BRCA2, CHEK1, CHEK2, FANCA, FANCC, FANCD2, FANCE, FANCF, FANCG, HUS1, MRE11A, NBS1, RAD1, RAD17, RAD50, RAD51, RAD9A, TP53, TREX1 | 21 | ATM(49), ATR(28), BRCA1(16), BRCA2(39), CHEK1(6), CHEK2(10), FANCA(12), FANCC(6), FANCD2(14), FANCE(6), FANCF(1), FANCG(4), HUS1(2), MRE11A(7), RAD1(2), RAD17(6), RAD50(12), RAD51(1), RAD9A(5), TP53(200), TREX1(4) | 25906136 | 430 | 254 | 328 | 43 | 96 | 51 | 49 | 71 | 153 | 10 | 1.26e-12 | <1.00e-15 | <1.03e-13 |
| 3 | ATMPATHWAY | The tumor-suppressing protein kinase ATM responds to radiation-induced DNA damage by blocking cell-cycle progression and activating DNA repair. | ABL1, ATM, BRCA1, CDKN1A, CHEK1, CHEK2, GADD45A, JUN, MAPK8, MDM2, MRE11A, NBS1, NFKB1, NFKBIA, RAD50, RAD51, RBBP8, RELA, TP53, TP73 | 19 | ABL1(10), ATM(49), BRCA1(16), CDKN1A(5), CHEK1(6), CHEK2(10), JUN(5), MAPK8(6), MDM2(8), MRE11A(7), NFKB1(8), NFKBIA(1), RAD50(12), RAD51(1), RBBP8(5), RELA(7), TP53(200), TP73(6) | 17491262 | 362 | 248 | 262 | 38 | 86 | 42 | 40 | 60 | 128 | 6 | 1.31e-11 | <1.00e-15 | <1.03e-13 |
| 4 | P53HYPOXIAPATHWAY | Hypoxia induces p53 accumulation and consequent apoptosis with p53-mediated cell cycle arrest, which is present under conditions of DNA damage. | ABCB1, AKT1, ATM, BAX, CDKN1A, CPB2, CSNK1A1, CSNK1D, FHL2, GADD45A, HIC1, HIF1A, HSPA1A, HSPCA, IGFBP3, MAPK8, MDM2, NFKBIB, NQO1, TP53 | 19 | ABCB1(33), AKT1(3), ATM(49), BAX(1), CDKN1A(5), CPB2(10), CSNK1A1(5), CSNK1D(4), FHL2(2), HIC1(10), HIF1A(5), HSPA1A(4), IGFBP3(5), MAPK8(6), MDM2(8), NFKBIB(8), NQO1(3), TP53(200) | 12175875 | 361 | 248 | 265 | 32 | 95 | 48 | 36 | 61 | 115 | 6 | <1.00e-15 | <1.00e-15 | <1.03e-13 |
| 5 | TERTPATHWAY | hTERC, the RNA subunit of telomerase, and hTERT, the catalytic protein subunit, are required for telomerase activity and are overexpressed in many cancers. | HDAC1, MAX, MYC, SP1, SP3, TP53, WT1, ZNF42 | 7 | HDAC1(9), MAX(3), MYC(6), SP1(5), SP3(5), TP53(200), WT1(5) | 4140585 | 233 | 206 | 143 | 11 | 68 | 28 | 23 | 35 | 77 | 2 | <1.00e-15 | <1.00e-15 | <1.03e-13 |
| 6 | RNAPATHWAY | dsRNA-activated protein kinase phosphorylates elF2a, which generally inhibits translation, and activates NF-kB to provoke inflammation. | CHUK, DNAJC3, EIF2S1, EIF2S2, MAP3K14, NFKB1, NFKBIA, PRKR, RELA, TP53 | 9 | CHUK(5), DNAJC3(3), EIF2S1(2), EIF2S2(3), NFKB1(8), NFKBIA(1), RELA(7), TP53(200) | 5730250 | 229 | 200 | 141 | 10 | 62 | 26 | 23 | 39 | 77 | 2 | <1.00e-15 | <1.00e-15 | <1.03e-13 |
| 7 | SA_G1_AND_S_PHASES | Cdk2, 4, and 6 bind cyclin D in G1, while cdk2/cyclin E promotes the G1/S transition. | ARF1, ARF3, CCND1, CDK2, CDK4, CDKN1A, CDKN1B, CDKN2A, CFL1, E2F1, E2F2, MDM2, NXT1, PRB1, TP53 | 15 | ARF1(5), CCND1(2), CDK2(4), CDK4(2), CDKN1A(5), CDKN1B(1), CDKN2A(17), CFL1(1), E2F1(4), E2F2(5), MDM2(8), NXT1(3), PRB1(3), TP53(200) | 4941636 | 260 | 213 | 168 | 17 | 73 | 34 | 26 | 39 | 84 | 4 | <1.00e-15 | 1.67e-15 | 1.47e-13 |
| 8 | CHEMICALPATHWAY | DNA damage promotes Bid cleavage, which stimulates mitochondrial cytochrome c release and consequent caspase activation, resulting in apoptosis. | ADPRT, AKT1, APAF1, ATM, BAD, BAX, BCL2, BCL2L1, BID, CASP3, CASP6, CASP7, CASP9, CYCS, EIF2S1, PRKCA, PRKCB1, PTK2, PXN, STAT1, TLN1, TP53 | 20 | AKT1(3), APAF1(8), ATM(49), BAD(4), BAX(1), BCL2(4), BCL2L1(1), BID(2), CASP3(2), CASP6(1), CASP7(4), CASP9(3), EIF2S1(2), PRKCA(8), PTK2(11), PXN(6), STAT1(11), TLN1(28), TP53(200) | 16068160 | 348 | 244 | 253 | 28 | 102 | 47 | 35 | 53 | 106 | 5 | <1.00e-15 | 2.22e-15 | 1.64e-13 |
| 9 | PLK3PATHWAY | Active Plk3 phosphorylates CDC25c, blocking the G2/M transition, and phosphorylates p53 to induce apoptosis. | ATM, ATR, CDC25C, CHEK1, CHEK2, CNK, TP53, YWHAH | 7 | ATM(49), ATR(28), CDC25C(11), CHEK1(6), CHEK2(10), TP53(200), YWHAH(3) | 9392938 | 307 | 232 | 211 | 22 | 78 | 32 | 33 | 51 | 107 | 6 | 9.74e-12 | 2.44e-15 | 1.64e-13 |
| 10 | TIDPATHWAY | On ligand binding, interferon gamma receptors stimulate JAK2 kinase to phosphorylate STAT transcription factors, which promote expression of interferon responsive genes. | DNAJA3, HSPA1A, IFNG, IFNGR1, IFNGR2, IKBKB, JAK2, LIN7A, NFKB1, NFKBIA, RB1, RELA, TIP-1, TNF, TNFRSF1A, TNFRSF1B, TP53, USH1C, WT1 | 18 | DNAJA3(5), HSPA1A(4), IFNG(2), IFNGR1(10), IFNGR2(2), IKBKB(10), JAK2(12), LIN7A(9), NFKB1(8), NFKBIA(1), RB1(14), RELA(7), TNF(3), TNFRSF1A(6), TNFRSF1B(3), TP53(200), USH1C(8), WT1(5) | 10636090 | 309 | 226 | 219 | 41 | 83 | 39 | 32 | 54 | 98 | 3 | 4.05e-10 | 2.66e-15 | 1.64e-13 |
Table 6. Get Full Table A Ranked List of Significantly Mutated Genesets (Excluding Significantly Mutated Genes). Number of significant genesets found: 0. Number of genesets displayed: 10
| rank | geneset | description | genes | N_genes | mut_tally | N | n | npat | nsite | nsil | n1 | n2 | n3 | n4 | n5 | n6 | p_ns_s | p | q |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | SLRPPATHWAY | Small leucine-rich proteoglycans (SLRPs) interact with and reorganize collagen fibers in the extracellular matrix. | BGN, DCN, DSPG3, FMOD, KERA, LUM | 5 | BGN(1), DCN(10), FMOD(12), KERA(5), LUM(8) | 2129598 | 36 | 29 | 36 | 4 | 14 | 2 | 4 | 12 | 4 | 0 | 0.013 | 0.16 | 1 |
| 2 | FOSBPATHWAY | FOSB gene expression and drug abuse | CDK5, FOSB, GRIA2, JUND, PPP1R1B | 5 | CDK5(3), FOSB(7), GRIA2(26), JUND(2), PPP1R1B(3) | 2191409 | 41 | 34 | 41 | 7 | 8 | 9 | 6 | 11 | 7 | 0 | 0.032 | 0.21 | 1 |
| 3 | HSA00785_LIPOIC_ACID_METABOLISM | Genes involved in lipoic acid metabolism | LIAS, LIPT1, LOC387787 | 2 | LIAS(4), LIPT1(5) | 895003 | 9 | 9 | 8 | 1 | 2 | 3 | 1 | 0 | 2 | 1 | 0.21 | 0.42 | 1 |
| 4 | HSA00643_STYRENE_DEGRADATION | Genes involved in styrene degradation | FAH, GSTZ1, HGD | 3 | FAH(7), GSTZ1(2), HGD(6) | 1306926 | 15 | 15 | 13 | 3 | 4 | 0 | 3 | 4 | 4 | 0 | 0.4 | 0.53 | 1 |
| 5 | HSA03060_PROTEIN_EXPORT | Genes involved in protein export | OXA1L, SEC61A2, SRP19, SRP54, SRP68, SRP72, SRP9, SRPR | 8 | OXA1L(3), SEC61A2(4), SRP19(3), SRP54(6), SRP68(6), SRP72(14), SRP9(2), SRPR(16) | 4424708 | 54 | 42 | 52 | 5 | 15 | 7 | 10 | 5 | 17 | 0 | 0.0031 | 0.68 | 1 |
| 6 | NUCLEOTIDE_SUGARS_METABOLISM | GALE, GALT, TGDS, UGDH, UXS1 | 5 | GALE(1), GALT(3), TGDS(5), UGDH(8), UXS1(8) | 2256701 | 25 | 22 | 25 | 3 | 9 | 2 | 6 | 4 | 4 | 0 | 0.033 | 0.69 | 1 | |
| 7 | HSA00031_INOSITOL_METABOLISM | Genes involved in inositol metabolism | ALDH6A1, TPI1 | 2 | ALDH6A1(6), TPI1(3) | 965217 | 9 | 9 | 9 | 2 | 4 | 2 | 1 | 1 | 1 | 0 | 0.36 | 0.7 | 1 |
| 8 | INOSITOL_METABOLISM | ALDH6A1, ALDOA, ALDOB, ALDOC, TPI1 | 5 | ALDH6A1(6), ALDOA(1), ALDOB(9), ALDOC(7), TPI1(3) | 2295817 | 26 | 25 | 26 | 4 | 6 | 7 | 3 | 6 | 4 | 0 | 0.061 | 0.78 | 1 | |
| 9 | TERPENOID_BIOSYNTHESIS | FDFT1, FDPS, FDPS, LOC402397, IDI1, SQLE | 4 | FDFT1(3), FDPS(12), IDI1(2), SQLE(9) | 1868455 | 26 | 19 | 25 | 3 | 7 | 3 | 3 | 4 | 9 | 0 | 0.05 | 0.78 | 1 | |
| 10 | HSA00520_NUCLEOTIDE_SUGARS_METABOLISM | Genes involved in nucleotide sugars metabolism | GALE, GALT, TGDS, UGDH, UGP2, UXS1 | 6 | GALE(1), GALT(3), TGDS(5), UGDH(8), UGP2(9), UXS1(8) | 2875221 | 34 | 27 | 33 | 4 | 11 | 2 | 6 | 6 | 9 | 0 | 0.028 | 0.78 | 1 |
In brief, we tabulate the number of mutations and the number of covered bases for each gene. The counts are broken down by mutation context category: four context categories that are discovered by MutSig, and one for indel and 'null' mutations, which include indels, nonsense mutations, splice-site mutations, and non-stop (read-through) mutations. For each gene, we calculate the probability of seeing the observed constellation of mutations, i.e. the product P1 x P2 x ... x Pm, or a more extreme one, given the background mutation rates calculated across the dataset. [1]
In addition to the links below, the full results of the analysis summarized in this report can also be downloaded programmatically using firehose_get, or interactively from either the Broad GDAC website or TCGA Data Coordination Center Portal.