Mutation Analysis (MutSig v1.5)
Head and Neck Squamous Cell Carcinoma (Primary solid tumor)
23 May 2013  |  analyses__2013_05_23
Maintainer Information
Citation Information
doi:10.7908/C1416V3M
Maintained by Dan DiCara (Broad Institute)
Cite as Broad Institute TCGA Genome Data Analysis Center (2013): Mutation Analysis (MutSig v1.5). Broad Institute of MIT and Harvard. doi:10.7908/C1416V3M
Overview
Introduction

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 v1.5 was used to generate the results found in this report.

  • Working with individual set: HNSC-TP

  • Number of patients in set: 306

Input

The input for this pipeline is a set of individuals with the following files associated for each:

  1. An annotated .maf file describing the mutations called for the respective individual, and their properties.

  2. A .wig file that contains information about the coverage of the sample.

Summary

  • MAF used for this analysis:HNSC-TP.final_analysis_set.maf

  • Significantly mutated genes (q ≤ 0.1): 104

  • Mutations seen in COSMIC: 478

  • Significantly mutated genes in COSMIC territory: 8

  • Genes with clustered mutations (≤ 3 aa apart): 551

  • Significantly mutated genesets: 68

  • Significantly mutated genesets: (excluding sig. mutated genes):0

Mutation Preprocessing

  • Read 306 MAFs of type "Broad"

  • Total number of mutations in input MAFs: 74008

  • After removing 10 mutations outside chr1-24: 73998

  • After removing 1938 blacklisted mutations: 72060

  • After removing 4374 noncoding mutations: 67686

  • After collapsing adjacent/redundant mutations: 57613

Mutation Filtering

  • Number of mutations before filtering: 57613

  • After removing 873 mutations outside gene set: 56740

  • After removing 55 mutations outside category set: 56685

Results
Breakdown of Mutations by Type

Table 1.  Get Full Table Table representing breakdown of mutations by type.

type count
Frame_Shift_Del 1339
Frame_Shift_Ins 604
In_Frame_Del 351
In_Frame_Ins 48
Missense_Mutation 36253
Nonsense_Mutation 2885
Nonstop_Mutation 53
Silent 14136
Splice_Site 924
Translation_Start_Site 92
Total 56685
Breakdown of Mutation Rates by Category Type

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 5984 498919062 0.000012 12 2.5 2.1
*Cp(A/C/T)->T 9121 4084447193 2.2e-06 2.2 0.47 1.7
C->(G/A) 14182 4583366255 3.1e-06 3.1 0.65 4.8
A->mut 7049 4404728973 1.6e-06 1.6 0.34 3.9
indel+null 6160 8988095228 6.9e-07 0.69 0.14 NaN
double_null 53 8988095228 5.9e-09 0.0059 0.0012 NaN
Total 42549 8988095228 4.7e-06 4.7 1 3.5
Target Coverage for Each Individual

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).

Figure 1. 

Distribution of Mutation Counts, Coverage, and Mutation Rates Across Samples

Figure 2.  Patients counts and rates file used to generate this plot: HNSC-TP.patients.counts_and_rates.txt

CoMut Plot

Figure 3.  Get High-res Image The matrix in the center of the figure represents individual mutations in patient samples, color-coded by type of mutation, for the significantly mutated genes. The rate of synonymous and non-synonymous mutations is displayed at the top of the matrix. The barplot on the left of the matrix shows the number of mutations in each gene. The percentages represent the fraction of tumors with at least one mutation in the specified gene. The barplot to the right of the matrix displays the q-values for the most significantly mutated genes. The purple boxplots below the matrix (only displayed if required columns are present in the provided MAF) represent the distributions of allelic fractions observed in each sample. The plot at the bottom represents the base substitution distribution of individual samples, using the same categories that were used to calculate significance.

Significantly Mutated Genes

Column Descriptions:

  • N = number of sequenced bases in this gene across the individual set

  • n = number of (nonsilent) mutations in this gene across the individual set

  • npat = number of patients (individuals) with at least one nonsilent mutation

  • nsite = number of unique sites having a non-silent mutation

  • nsil = number of silent mutations in this gene across the individual set

  • n1 = number of nonsilent mutations of type: *CpG->T

  • n2 = number of nonsilent mutations of type: *Cp(A/C/T)->T

  • n3 = number of nonsilent mutations of type: C->(G/A)

  • n4 = number of nonsilent mutations of type: A->mut

  • n5 = number of nonsilent mutations of type: indel+null

  • n6 = number of nonsilent mutations of type: double_null

  • p_ns_s = p-value for the observed nonsilent/silent ratio being elevated in this gene

  • p = p-value (overall)

  • 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: 104. 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_ns_s p q
1 TP53 tumor protein p53 375773 246 214 153 5 41 27 39 40 92 7 <1.00e-15 <1.00e-15 <1.14e-11
2 CDKN2A cyclin-dependent kinase inhibitor 2A (melanoma, p16, inhibits CDK4) 255389 65 65 31 0 2 2 2 6 52 1 6.52e-08 1.67e-15 1.14e-11
3 NOTCH1 Notch homolog 1, translocation-associated (Drosophila) 1904576 62 57 62 5 10 10 10 6 26 0 2.72e-05 1.89e-15 1.14e-11
4 PIK3CA phosphoinositide-3-kinase, catalytic, alpha polypeptide 1003706 65 64 24 0 1 40 6 17 1 0 6.29e-09 6.11e-15 2.07e-11
5 JUB jub, ajuba homolog (Xenopus laevis) 357659 19 18 19 1 1 2 0 2 14 0 0.0729 6.55e-15 2.07e-11
6 FAT1 FAT tumor suppressor homolog 1 (Drosophila) 4166666 80 72 80 2 1 5 7 6 53 8 3.65e-06 7.44e-15 2.07e-11
7 CASP8 caspase 8, apoptosis-related cysteine peptidase 533487 27 27 24 0 1 4 2 5 15 0 0.000959 7.99e-15 2.07e-11
8 MLL2 myeloid/lymphoid or mixed-lineage leukemia 2 4343439 58 56 58 3 4 7 7 2 35 3 0.000398 3.69e-14 8.34e-11
9 NFE2L2 nuclear factor (erythroid-derived 2)-like 2 546479 18 17 13 0 0 4 10 4 0 0 0.0282 4.37e-11 8.79e-08
10 BAGE2 B melanoma antigen family, member 2 105801 12 11 9 2 0 6 2 2 1 1 0.129 4.35e-10 7.88e-07
11 POTEC POTE ankyrin domain family, member C 471221 15 15 15 1 2 4 4 4 1 0 0.0681 1.22e-09 2.00e-06
12 NSD1 nuclear receptor binding SET domain protein 1 2490988 36 33 36 1 0 2 8 4 20 2 0.0169 1.69e-09 2.55e-06
13 HRAS v-Ha-ras Harvey rat sarcoma viral oncogene homolog 198292 11 10 6 0 2 2 6 1 0 0 0.0221 2.44e-08 3.40e-05
14 B2M beta-2-microglobulin 113810 7 7 6 0 0 1 1 1 4 0 0.355 4.72e-08 6.10e-05
15 FBXW7 F-box and WD repeat domain containing 7 757876 16 15 14 1 2 2 5 3 4 0 0.179 7.21e-08 8.70e-05
16 POM121L12 POM121 transmembrane nucleoporin-like 12 264068 15 14 15 2 4 2 4 3 2 0 0.104 8.69e-08 9.83e-05
17 RAC1 ras-related C3 botulinum toxin substrate 1 (rho family, small GTP binding protein Rac1) 189570 10 9 8 0 2 3 2 3 0 0 0.0351 1.74e-07 0.000185
18 ZNF804B zinc finger protein 804B 1240408 22 21 22 2 4 5 6 5 2 0 0.0640 3.92e-07 0.000394
19 OR2T12 olfactory receptor, family 2, subfamily T, member 12 294908 11 11 11 1 2 2 2 3 2 0 0.104 4.98e-07 0.000474
20 CDH10 cadherin 10, type 2 (T2-cadherin) 736566 24 23 24 4 0 3 12 8 1 0 0.344 1.29e-06 0.00117
21 LCP1 lymphocyte cytosolic protein 1 (L-plastin) 593980 12 12 12 0 3 1 3 4 1 0 0.0391 1.81e-06 0.00153
22 KCNT2 potassium channel, subfamily T, member 2 1040701 17 17 16 1 2 1 6 3 5 0 0.142 1.87e-06 0.00153
23 PRAMEF11 PRAME family member 11 390027 10 10 9 0 2 1 5 2 0 0 0.0783 1.95e-06 0.00153
24 EP300 E1A binding protein p300 2248955 25 25 22 1 3 7 4 5 6 0 0.00726 2.03e-06 0.00153
25 RASA1 RAS p21 protein activator (GTPase activating protein) 1 928769 14 14 12 0 2 0 3 2 7 0 0.0560 2.23e-06 0.00162
26 PRSS1 protease, serine, 1 (trypsin 1) 233784 8 8 7 1 0 4 1 2 1 0 0.168 2.96e-06 0.00206
27 PEG3 paternally expressed 3 1345043 26 23 26 2 0 6 11 6 3 0 0.0764 3.44e-06 0.00225
28 REG1A regenerating islet-derived 1 alpha (pancreatic stone protein, pancreatic thread protein) 159337 8 8 8 0 0 1 5 2 0 0 0.151 3.52e-06 0.00225
29 ZNF99 zinc finger protein 99 949165 26 22 26 4 0 4 10 6 6 0 0.461 3.60e-06 0.00225
30 FCRL4 Fc receptor-like 4 485362 14 13 14 1 1 2 7 3 1 0 0.140 3.86e-06 0.00227
31 STEAP4 STEAP family member 4 425992 10 10 10 1 0 4 1 2 3 0 0.174 3.89e-06 0.00227
32 LRFN5 leucine rich repeat and fibronectin type III domain containing 5 664309 15 13 14 1 0 2 8 4 1 0 0.134 1.23e-05 0.00694
33 POTEG POTE ankyrin domain family, member G 366329 11 10 11 0 1 2 6 0 2 0 0.113 1.45e-05 0.00797
34 ZNF750 zinc finger protein 750 666533 15 13 14 1 1 2 2 2 8 0 0.133 1.54e-05 0.00803
35 EPHA2 EPH receptor A2 868017 16 14 15 0 3 0 1 1 10 1 0.0230 1.55e-05 0.00803
TP53

Figure S1.  This figure depicts the distribution of mutations and mutation types across the TP53 significant gene.

CDKN2A

Figure S2.  This figure depicts the distribution of mutations and mutation types across the CDKN2A significant gene.

NOTCH1

Figure S3.  This figure depicts the distribution of mutations and mutation types across the NOTCH1 significant gene.

PIK3CA

Figure S4.  This figure depicts the distribution of mutations and mutation types across the PIK3CA significant gene.

JUB

Figure S5.  This figure depicts the distribution of mutations and mutation types across the JUB significant gene.

FAT1

Figure S6.  This figure depicts the distribution of mutations and mutation types across the FAT1 significant gene.

MLL2

Figure S7.  This figure depicts the distribution of mutations and mutation types across the MLL2 significant gene.

NFE2L2

Figure S8.  This figure depicts the distribution of mutations and mutation types across the NFE2L2 significant gene.

POTEC

Figure S9.  This figure depicts the distribution of mutations and mutation types across the POTEC significant gene.

NSD1

Figure S10.  This figure depicts the distribution of mutations and mutation types across the NSD1 significant gene.

HRAS

Figure S11.  This figure depicts the distribution of mutations and mutation types across the HRAS significant gene.

B2M

Figure S12.  This figure depicts the distribution of mutations and mutation types across the B2M significant gene.

FBXW7

Figure S13.  This figure depicts the distribution of mutations and mutation types across the FBXW7 significant gene.

POM121L12

Figure S14.  This figure depicts the distribution of mutations and mutation types across the POM121L12 significant gene.

RAC1

Figure S15.  This figure depicts the distribution of mutations and mutation types across the RAC1 significant gene.

ZNF804B

Figure S16.  This figure depicts the distribution of mutations and mutation types across the ZNF804B significant gene.

OR2T12

Figure S17.  This figure depicts the distribution of mutations and mutation types across the OR2T12 significant gene.

CDH10

Figure S18.  This figure depicts the distribution of mutations and mutation types across the CDH10 significant gene.

LCP1

Figure S19.  This figure depicts the distribution of mutations and mutation types across the LCP1 significant gene.

KCNT2

Figure S20.  This figure depicts the distribution of mutations and mutation types across the KCNT2 significant gene.

PRAMEF11

Figure S21.  This figure depicts the distribution of mutations and mutation types across the PRAMEF11 significant gene.

EP300

Figure S22.  This figure depicts the distribution of mutations and mutation types across the EP300 significant gene.

RASA1

Figure S23.  This figure depicts the distribution of mutations and mutation types across the RASA1 significant gene.

PRSS1

Figure S24.  This figure depicts the distribution of mutations and mutation types across the PRSS1 significant gene.

PEG3

Figure S25.  This figure depicts the distribution of mutations and mutation types across the PEG3 significant gene.

REG1A

Figure S26.  This figure depicts the distribution of mutations and mutation types across the REG1A significant gene.

FCRL4

Figure S27.  This figure depicts the distribution of mutations and mutation types across the FCRL4 significant gene.

STEAP4

Figure S28.  This figure depicts the distribution of mutations and mutation types across the STEAP4 significant gene.

LRFN5

Figure S29.  This figure depicts the distribution of mutations and mutation types across the LRFN5 significant gene.

POTEG

Figure S30.  This figure depicts the distribution of mutations and mutation types across the POTEG significant gene.

ZNF750

Figure S31.  This figure depicts the distribution of mutations and mutation types across the ZNF750 significant gene.

COSMIC analyses

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: 8. Number of genes displayed: 10

rank gene description n cos n_cos N_cos cos_ev p q
1 TP53 tumor protein p53 246 356 224 108936 45925 0 0
2 HRAS v-Ha-ras Harvey rat sarcoma viral oncogene homolog 11 19 11 5814 2979 0 0
3 PIK3CA phosphoinositide-3-kinase, catalytic, alpha polypeptide 65 220 55 67320 26369 0 0
4 CDKN2A cyclin-dependent kinase inhibitor 2A (melanoma, p16, inhibits CDK4) 65 332 63 101592 2920 0 0
5 FBXW7 F-box and WD repeat domain containing 7 16 91 10 27846 183 0 0
6 PIK3R1 phosphoinositide-3-kinase, regulatory subunit 1 (alpha) 6 33 4 10098 3 2.1e-07 0.00016
7 PTPN14 protein tyrosine phosphatase, non-receptor type 14 13 3 2 918 2 9.4e-06 0.0061
8 SCN9A sodium channel, voltage-gated, type IX, alpha subunit 10 4 2 1224 2 0.000017 0.0094
9 PTCH1 patched homolog 1 (Drosophila) 11 256 4 78336 5 0.00059 0.2
10 RB1 retinoblastoma 1 (including osteosarcoma) 10 267 4 81702 5 0.00069 0.2

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)

Clustered Mutations

Table 5.  Get Full Table Genes with Clustered Mutations

num gene desc n mindist nmuts0 nmuts3 nmuts12 npairs0 npairs3 npairs12
8600 PIK3CA phosphoinositide-3-kinase, catalytic, alpha polypeptide 65 0 331 628 650 331 628 650
11786 TP53 tumor protein p53 246 0 321 853 2124 321 853 2124
5196 HRAS v-Ha-ras Harvey rat sarcoma viral oncogene homolog 11 0 18 45 45 18 45 45
7437 NFE2L2 nuclear factor (erythroid-derived 2)-like 2 18 0 13 38 60 13 38 60
4054 FBXW7 F-box and WD repeat domain containing 7 16 0 6 11 20 6 11 20
1572 C3orf59 chromosome 3 open reading frame 59 8 0 6 6 6 6 6 6
6625 MAPK1 mitogen-activated protein kinase 1 4 0 6 6 6 6 6 6
9608 RHOA ras homolog gene family, member A 4 0 6 6 6 6 6 6
1867 CASP8 caspase 8, apoptosis-related cysteine peptidase 27 0 5 8 19 5 8 19
7562 NOTCH1 Notch homolog 1, translocation-associated (Drosophila) 62 0 4 13 38 4 13 38

Note:

n - number of mutations in this gene in the individual set.

mindist - distance (in aa) between closest pair of mutations in this gene

npairs3 - how many pairs of mutations are within 3 aa of each other.

npairs12 - how many pairs of mutations are within 12 aa of each other.

Geneset Analyses

Table 6.  Get Full Table A Ranked List of Significantly Mutated Genesets. (Source: MSigDB GSEA Cannonical Pathway Set).Number of significant genesets found: 68. 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 APOPTOSIS APAF1, BAD, BAK1, BCL2L7P1, BAX, BCL2, BCL2L1, BCL2L11, BID, BIRC2, BIRC3, BIRC4, BIRC5, BNIP3L, CASP1, CASP10, CASP1, COPl, CASP2, CASP3, CASP4, CASP6, CASP7, CASP8, CASP9, CHUK, CYCS, DFFA, DFFB, FADD, FAS, FASLG, GZMB, HELLS, HRK, IKBKB, IKBKG, IRF1, IRF2, IRF3, IRF4, IRF5, IRF6, IRF7, JUN, LTA, MAP2K4, MAP3K1, MAPK10, MDM2, MYC, NFKB1, NFKBIA, NFKBIB, NFKBIE, PRF1, RELA, RIPK1, TNF, TNFRSF10B, TNFRSF1A, TNFRSF1B, TNFRSF21, TNFRSF25, TNFRSF25, PLEKHG5, TNFSF10, TP53, TP73, TRADD, TRAF1, TRAF2, TRAF3 66 APAF1(9), BAD(1), BAX(1), BCL2(1), BCL2L1(2), BCL2L11(1), BID(2), BIRC2(1), BIRC3(1), CASP1(2), CASP10(2), CASP3(1), CASP4(1), CASP6(2), CASP7(1), CASP8(27), CHUK(3), FADD(1), FAS(1), FASLG(2), GZMB(1), HELLS(4), IKBKB(5), IRF1(5), IRF2(3), IRF3(1), IRF4(2), IRF5(1), IRF6(4), IRF7(2), LTA(1), MAP2K4(1), MAP3K1(3), MAPK10(3), MDM2(2), MYC(4), NFKB1(2), NFKBIB(1), PLEKHG5(4), PRF1(3), RELA(1), RIPK1(2), TNFRSF10B(1), TNFRSF21(2), TNFRSF25(2), TP53(246), TRAF2(1), TRAF3(3) 26196004 372 243 276 32 61 55 65 61 123 7 <1.00e-15 <1.00e-15 <8.55e-14
2 APOPTOSIS_GENMAPP APAF1, BAK1, BCL2L7P1, BAX, BCL2, BCL2L1, BID, BIRC2, BIRC3, BIRC4, CASP2, CASP3, CASP6, CASP7, CASP8, CASP9, CYCS, FADD, FAS, FASLG, GZMB, IKBKG, JUN, MAP2K4, MAP3K1, MAP3K14, MAPK10, MCL1, MDM2, MYC, NFKB1, NFKBIA, PARP1, PRF1, RELA, RIPK1, TNF, TNFRSF1A, TNFRSF1B, TNFSF10, TP53, TRADD, TRAF1, TRAF2 41 APAF1(9), BAX(1), BCL2(1), BCL2L1(2), BID(2), BIRC2(1), BIRC3(1), CASP3(1), CASP6(2), CASP7(1), CASP8(27), FADD(1), FAS(1), FASLG(2), GZMB(1), MAP2K4(1), MAP3K1(3), MAP3K14(2), MAPK10(3), MCL1(1), MDM2(2), MYC(4), NFKB1(2), PARP1(3), PRF1(3), RELA(1), RIPK1(2), TP53(246), TRAF2(1) 17088240 327 237 231 21 53 41 56 56 114 7 <1.00e-15 <1.00e-15 <8.55e-14
3 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(2), APAF1(9), ATM(9), BAD(1), BAX(1), BCL2(1), BCL2L1(2), BID(2), CASP3(1), CASP6(2), CASP7(1), EIF2S1(1), PRKCA(2), PTK2(5), PXN(1), STAT1(5), TLN1(13), TP53(246) 12480574 304 233 211 26 48 40 58 51 100 7 9.48e-12 <1.00e-15 <8.55e-14
4 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(1), IFNG(1), IFNGR1(5), IFNGR2(2), IKBKB(5), JAK2(2), LIN7A(2), NFKB1(2), RB1(10), RELA(1), TP53(246), USH1C(2) 8287879 279 227 185 20 43 33 48 43 105 7 1.09e-13 <1.00e-15 <8.55e-14
5 RBPATHWAY The ATM protein kinase recognizes DNA damage and blocks cell cycle progression by phosphorylating chk1 and p53, which normally inhibits Rb to allow G1/S transitions. ATM, CDC2, CDC25A, CDC25B, CDC25C, CDK2, CDK4, CHEK1, MYT1, RB1, TP53, WEE1, YWHAH 12 ATM(9), CDC25B(3), CDK4(4), CHEK1(1), MYT1(7), RB1(10), TP53(246), WEE1(1), YWHAH(1) 7991690 282 226 189 12 44 33 49 46 103 7 3.11e-15 <1.00e-15 <8.55e-14
6 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 CCND1(2), CDK4(4), CDKN1B(2), CDKN2A(65), CFL1(2), E2F2(3), MDM2(2), PRB1(8), TP53(246) 3842593 334 223 206 12 44 34 49 50 149 8 <1.00e-15 <1.00e-15 <8.55e-14
7 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 MAX(1), MYC(4), SP1(1), SP3(1), TP53(246) 3219260 253 214 160 7 41 28 42 42 93 7 <1.00e-15 <1.00e-15 <8.55e-14
8 PMLPATHWAY Ring-shaped PML nuclear bodies regulate transcription and are required co-activators in p53- and DAXX-mediated apoptosis. CREBBP, DAXX, HRAS, PAX3, PML, PRAM-1, RARA, RB1, SIRT1, SP100, TNF, TNFRSF1A, TNFRSF1B, TNFRSF6, TNFSF6, TP53, UBL1 13 CREBBP(15), HRAS(11), PAX3(4), PML(1), RARA(2), RB1(10), SIRT1(1), SP100(2), TP53(246) 8657665 292 234 194 22 44 35 57 44 105 7 2.76e-13 1.11e-15 8.55e-14
9 TELPATHWAY Telomerase is a ribonucleotide protein that adds telomeric repeats to the 3' ends of chromosomes. AKT1, BCL2, EGFR, G22P1, HSPCA, IGF1R, KRAS2, MYC, POLR2A, PPP2CA, PRKCA, RB1, TEP1, TERF1, TERT, TNKS, TP53, XRCC5 15 AKT1(2), BCL2(1), EGFR(14), IGF1R(7), MYC(4), POLR2A(9), PRKCA(2), RB1(10), TEP1(8), TERF1(3), TERT(1), TNKS(4), TP53(246), XRCC5(2) 12869416 313 230 220 29 49 41 60 52 104 7 7.27e-14 1.33e-15 9.12e-14
10 AKTPATHWAY Second messenger PIP3 promotes cell survival by activating the anti-apoptotic kinase AKT. AKT1, BAD, CASP9, CHUK, FOXO1A, FOXO3A, GH1, GHR, HSPCA, MLLT7, NFKB1, NFKBIA, PDPK1, PIK3CA, PIK3R1, PPP2CA, RELA, TNFSF6, YWHAH 14 AKT1(2), BAD(1), CHUK(3), GH1(1), GHR(4), NFKB1(2), PDPK1(2), PIK3CA(65), PIK3R1(6), RELA(1), YWHAH(1) 6437782 88 82 47 4 3 49 8 23 5 0 2.86e-09 1.55e-15 9.57e-14

Table 7.  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 HSA00902_MONOTERPENOID_BIOSYNTHESIS Genes involved in monoterpenoid biosynthesis CYP2C19, CYP2C9 2 CYP2C19(3), CYP2C9(5) 922599 8 8 8 0 0 3 4 1 0 0 0.087 0.054 1
2 HSA00627_1,4_DICHLOROBENZENE_DEGRADATION Genes involved in 1,4-dichlorobenzene degradation CMBL 1 CMBL(2) 231812 2 2 2 0 0 0 0 0 2 0 0.66 0.12 1
3 GSPATHWAY Activated G-protein coupled receptors stimulate cAMP production and thus activate protein kinase A, involved in a number of signal transduction pathways. ADCY1, GNAS, GNB1, GNGT1, PRKACA, PRKAR1A 6 ADCY1(12), GNAS(6), GNB1(2), PRKACA(4), PRKAR1A(2) 2991458 26 23 26 2 10 3 9 4 0 0 0.019 0.16 1
4 BLOOD_GROUP_GLYCOLIPID_BIOSYNTHESIS_NEOLACTOSERIES ABO, B3GNT1, FUT1, FUT2, FUT9, GCNT2, ST8SIA1 7 ABO(2), B3GNT1(1), FUT1(1), FUT2(2), FUT9(10), GCNT2(4), ST8SIA1(2) 2797416 22 21 22 4 2 7 10 2 1 0 0.12 0.19 1
5 FBW7PATHWAY Cyclin E interacts with cell cycle checkpoint kinase cdk2 to allow transcription of genes required for S phase, including transcription of additional cyclin E. CCNE1, CDC34, CDK2, CUL1, E2F1, FBXW7, RB1, SKP1A, TFDP1 7 CCNE1(3), CDC34(1), CUL1(6), RB1(10), TFDP1(3) 2976526 23 22 23 4 3 4 2 2 12 0 0.16 0.23 1
6 ACETAMINOPHENPATHWAY Acetaminophen selectively inhibits Cox-3, which is localized to the brain, and yields the toxic metabolite NAPQI when processed by CAR in the liver. CYP1A2, CYP2E1, CYP3A, NR1I3, PTGS1, PTGS2 5 CYP1A2(4), CYP2E1(5), PTGS1(6), PTGS2(2) 2433197 17 15 17 2 2 1 9 0 5 0 0.16 0.27 1
7 HSA00550_PEPTIDOGLYCAN_BIOSYNTHESIS Genes involved in peptidoglycan biosynthesis GLUL, PGLYRP2 2 GLUL(2), PGLYRP2(3) 829283 5 5 5 1 1 2 0 1 1 0 0.39 0.33 1
8 BETAOXIDATIONPATHWAY Beta-Oxidation of Fatty Acids ACADL, ACADM, ACADS, ACAT1, ECHS1, HADHA 6 ACADL(2), ACADM(3), ACADS(2), ECHS1(2), HADHA(3) 2467452 12 12 12 1 2 2 4 3 1 0 0.13 0.35 1
9 NUCLEOTIDE_SUGARS_METABOLISM GALE, GALT, TGDS, UGDH, UXS1 5 GALT(1), TGDS(2), UGDH(3), UXS1(2) 1758796 8 8 8 0 0 1 3 3 1 0 0.19 0.39 1
10 FXRPATHWAY The nuclear receptor transcription factors FXR and LXR are activated by cholesterol metabolites and regulate cholesterol homeostasis. FABP6, LDLR, NR0B2, NR1H3, NR1H4, RXRA 6 FABP6(2), LDLR(3), NR0B2(1), NR1H4(5), RXRA(4) 2480469 15 15 15 1 2 2 6 1 4 0 0.1 0.41 1
Methods & Data
Methods

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]

Download Results

This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.

References
[1] TCGA, Integrated genomic analyses of ovarian carcinoma, Nature 474:609 - 615 (2011)
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