Prostate Adenocarcinoma: Mutation Analysis (MutSig v2.0)
Maintained by Dan DiCara (Broad Institute)
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 v2.0 was used to generate the results found in this report.

  • Working with individual set: PRAD

  • Number of patients in set: 83

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:PRAD.final_analysis_set.maf

  • Significantly mutated genes (q ≤ 0.1): 55

  • Mutations seen in COSMIC: 28

  • Significantly mutated genes in COSMIC territory: 7

  • Genes with clustered mutations (≤ 3 aa apart): 23

  • Significantly mutated genesets: 3

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

Mutation Preprocessing

  • Read 83 MAFs of type "Broad"

  • Total number of mutations in input MAFs: 12281

  • After removing 28 mutations outside chr1-24: 12253

  • After removing 6658 noncoding mutations: 5595

  • After collapsing adjacent/redundant mutations: 5566

Mutation Filtering

  • Number of mutations before filtering: 5566

  • After removing 203 mutations outside gene set: 5363

  • After removing 4 mutations outside category set: 5359

Results
Breakdown of Mutations by Type

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

type count
Frame_Shift_Del 150
Frame_Shift_Ins 77
In_Frame_Del 51
In_Frame_Ins 13
Missense_Mutation 3284
Nonsense_Mutation 183
Nonstop_Mutation 2
Silent 1484
Splice_Site 102
Translation_Start_Site 13
Total 5359
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 839 138713067 6e-06 6 3.9 2.1
*Np(A/C/T)->transit 898 1965699488 4.6e-07 0.46 0.29 2
*ApG->G 107 381313535 2.8e-07 0.28 0.18 2.1
transver 1447 2485726090 5.8e-07 0.58 0.37 5
indel+null 581 2485726090 2.3e-07 0.23 0.15 NaN
double_null 3 2485726090 1.2e-09 0.0012 0.00077 NaN
Total 3875 2485726090 1.6e-06 1.6 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: PRAD.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: *Np(A/C/T)->transit

  • n3 = number of nonsilent mutations of type: *ApG->G

  • n4 = number of nonsilent mutations of type: transver

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

  • n6 = number of nonsilent mutations of type: double_null

  • p_classic = p-value for the observed amount of nonsilent mutations being elevated in this gene

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

  • p_ks = p-value for clustering of mutations (Kolmogorov-Smirnoff test)

  • p_cons = p-value for enrichment of mutations at evolutionarily most-conserved sites in gene

  • p_joint = p-value for clustering + conservation

  • 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: 55. 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_ks p_cons p_joint p q
1 POM121 POM121 membrane glycoprotein (rat) 216520 3 3 1 0 0 0 0 3 0 0 0.0036 0.48 6e-07 0.33 0 <1.00e-15 <9.07e-12
2 ZNF285 zinc finger protein 285 148155 4 3 2 1 0 0 2 2 0 0 0.000058 0.74 1.8e-06 1.8e-06 0 <1.00e-15 <9.07e-12
3 MUC4 mucin 4, cell surface associated 272535 15 13 9 2 3 4 0 8 0 0 8.8e-13 0.13 0.00036 0.1 0.0002 6.44e-15 3.89e-11
4 C9orf150 chromosome 9 open reading frame 150 47265 3 3 1 0 0 0 0 0 3 0 1.9e-06 1 3.6e-06 1 8.6e-06 4.31e-10 1.78e-06
5 NKX3-1 NK3 homeobox 1 43527 5 5 5 0 0 2 0 2 1 0 3.2e-09 0.26 0.044 0.0026 0.0059 4.92e-10 1.78e-06
6 FIP1L1 FIP1 like 1 (S. cerevisiae) 152119 3 3 1 0 0 0 0 0 3 0 0.00015 1 2e-07 1 1.2e-06 4.29e-09 1.30e-05
7 NDUFS4 NADH dehydrogenase (ubiquinone) Fe-S protein 4, 18kDa (NADH-coenzyme Q reductase) 45401 3 3 1 0 0 0 0 3 0 0 0.000043 0.58 6.4e-06 0.33 7e-06 6.84e-09 1.77e-05
8 AGT angiotensinogen (serpin peptidase inhibitor, clade A, member 8) 122342 3 3 1 0 0 0 0 3 0 0 0.00063 0.53 6e-07 1 1.8e-06 2.44e-08 5.53e-05
9 CCNF cyclin F 199411 3 3 1 1 0 0 0 3 0 0 0.0034 0.79 6e-07 0.023 6e-07 4.31e-08 8.68e-05
10 DUSP27 dual specificity phosphatase 27 (putative) 264959 3 3 1 1 0 0 0 3 0 0 0.0024 0.82 2e-07 0.92 1.2e-06 6.01e-08 0.000109
11 CLSTN1 calsyntenin 1 242387 3 3 1 0 0 0 0 3 0 0 0.0084 0.6 4e-07 0.052 4e-07 6.85e-08 0.000113
12 TP53 tumor protein p53 105521 5 5 5 0 3 0 0 1 1 0 8.2e-07 0.34 0.069 0.0012 0.0056 9.20e-08 0.000139
13 TPTE2 transmembrane phosphoinositide 3-phosphatase and tensin homolog 2 136261 6 6 6 1 1 2 0 2 1 0 6e-09 0.48 0.8 0.55 0.89 1.08e-07 0.000150
14 FRG1 FSHD region gene 1 67208 6 5 4 0 0 2 0 3 1 0 1.1e-08 0.32 0.31 1 0.51 1.16e-07 0.000150
15 SLC2A6 solute carrier family 2 (facilitated glucose transporter), member 6 97622 2 2 1 0 0 0 0 2 0 0 0.0025 0.61 0.00086 0.000013 9.8e-06 4.51e-07 0.000544
16 ZNF492 zinc finger protein 492 123622 4 4 3 0 0 3 0 1 0 0 2e-05 0.28 0.00028 0.57 0.0013 4.80e-07 0.000544
17 YBX1 Y box binding protein 1 68945 4 3 2 0 0 2 0 2 0 0 0.00014 0.32 0.0082 0.00043 0.0002 5.16e-07 0.000550
18 SPOP speckle-type POZ protein 96345 4 4 3 0 0 0 1 3 0 0 4.8e-06 0.39 0.0072 0.27 0.0091 7.81e-07 0.000787
19 ARHGAP11B Rho GTPase activating protein 11B 68637 4 4 2 0 0 0 0 1 3 0 1.2e-06 0.25 NaN NaN NaN 1.16e-06 0.00111
20 SCAI suppressor of cancer cell invasion 157950 5 5 2 0 0 0 0 5 0 0 3.1e-06 0.45 0.012 0.4 0.028 1.49e-06 0.00135
21 LILRB3 leukocyte immunoglobulin-like receptor, subfamily B (with TM and ITIM domains), member 3 120480 4 4 2 1 0 0 3 1 0 0 1.4e-06 0.6 0.079 0.96 0.24 5.35e-06 0.00462
22 ETV3 ets variant gene 3 36841 2 2 2 0 0 1 0 0 1 0 0.0006 0.65 0.00065 0.42 0.00065 6.20e-06 0.00511
23 ZNF814 zinc finger protein 814 168858 4 4 2 0 0 2 0 2 0 0 0.000059 0.34 0.002 0.99 0.011 9.88e-06 0.00779
24 GPATCH4 G patch domain containing 4 97579 2 2 1 0 0 0 0 0 2 0 0.0018 1 0.00086 0.28 0.00051 1.34e-05 0.0102
25 CTNNB1 catenin (cadherin-associated protein), beta 1, 88kDa 199245 3 3 3 0 0 1 0 2 0 0 0.0015 0.46 0.00068 0.24 0.00082 1.75e-05 0.0127
26 C17orf63 chromosome 17 open reading frame 63 5972 2 2 1 0 0 0 0 2 0 0 0.000026 0.65 NaN NaN NaN 2.65e-05 0.0185
27 PDE4DIP phosphodiesterase 4D interacting protein (myomegalin) 720610 6 6 5 1 0 2 3 0 1 0 0.0001 0.4 0.0082 0.84 0.019 2.84e-05 0.0190
28 PRR21 proline rich 21 58941 4 4 4 0 1 1 0 2 0 0 3.1e-06 0.26 0.24 0.94 0.69 3.05e-05 0.0198
29 SLC15A3 solute carrier family 15, member 3 101449 2 2 1 0 0 0 0 2 0 0 0.0077 0.66 0.00075 0.066 0.00033 3.51e-05 0.0219
30 GOLGA6B golgi autoantigen, golgin subfamily a, 6B 88280 2 2 1 0 0 2 0 0 0 0 0.001 0.37 0.0012 0.86 0.0034 4.57e-05 0.0276
31 FNBP4 formin binding protein 4 236598 2 2 1 0 0 0 0 0 2 0 0.013 1 0.00033 0.95 0.00033 5.61e-05 0.0328
32 NOTCH2NL Notch homolog 2 (Drosophila) N-terminal like 60118 3 3 2 0 0 3 0 0 0 0 0.000059 0.3 NaN NaN NaN 5.90e-05 0.0334
33 OR4A16 olfactory receptor, family 4, subfamily A, member 16 82009 2 2 2 0 0 1 0 1 0 0 0.0025 0.54 0.22 0.0024 0.002 6.52e-05 0.0358
34 PRIM2 primase, DNA, polypeptide 2 (58kDa) 120943 4 4 2 4 0 0 0 1 3 0 0.000073 1 NaN NaN NaN 7.26e-05 0.0374
35 OR6N1 olfactory receptor, family 6, subfamily N, member 1 78146 3 3 2 0 0 0 2 1 0 0 0.000013 0.46 0.36 0.5 0.44 7.41e-05 0.0374
POM121

Figure S1.  This figure depicts the distribution of mutations and mutation types across the POM121 significant gene.

ZNF285

Figure S2.  This figure depicts the distribution of mutations and mutation types across the ZNF285 significant gene.

MUC4

Figure S3.  This figure depicts the distribution of mutations and mutation types across the MUC4 significant gene.

C9orf150

Figure S4.  This figure depicts the distribution of mutations and mutation types across the C9orf150 significant gene.

NKX3-1

Figure S5.  This figure depicts the distribution of mutations and mutation types across the NKX3-1 significant gene.

FIP1L1

Figure S6.  This figure depicts the distribution of mutations and mutation types across the FIP1L1 significant gene.

NDUFS4

Figure S7.  This figure depicts the distribution of mutations and mutation types across the NDUFS4 significant gene.

AGT

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

CCNF

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

DUSP27

Figure S10.  This figure depicts the distribution of mutations and mutation types across the DUSP27 significant gene.

CLSTN1

Figure S11.  This figure depicts the distribution of mutations and mutation types across the CLSTN1 significant gene.

TP53

Figure S12.  This figure depicts the distribution of mutations and mutation types across the TP53 significant gene.

TPTE2

Figure S13.  This figure depicts the distribution of mutations and mutation types across the TPTE2 significant gene.

FRG1

Figure S14.  This figure depicts the distribution of mutations and mutation types across the FRG1 significant gene.

SLC2A6

Figure S15.  This figure depicts the distribution of mutations and mutation types across the SLC2A6 significant gene.

ZNF492

Figure S16.  This figure depicts the distribution of mutations and mutation types across the ZNF492 significant gene.

YBX1

Figure S17.  This figure depicts the distribution of mutations and mutation types across the YBX1 significant gene.

SPOP

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

ARHGAP11B

Figure S19.  This figure depicts the distribution of mutations and mutation types across the ARHGAP11B significant gene.

SCAI

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

LILRB3

Figure S21.  This figure depicts the distribution of mutations and mutation types across the LILRB3 significant gene.

ETV3

Figure S22.  This figure depicts the distribution of mutations and mutation types across the ETV3 significant gene.

ZNF814

Figure S23.  This figure depicts the distribution of mutations and mutation types across the ZNF814 significant gene.

GPATCH4

Figure S24.  This figure depicts the distribution of mutations and mutation types across the GPATCH4 significant gene.

CTNNB1

Figure S25.  This figure depicts the distribution of mutations and mutation types across the CTNNB1 significant gene.

C17orf63

Figure S26.  This figure depicts the distribution of mutations and mutation types across the C17orf63 significant gene.

PDE4DIP

Figure S27.  This figure depicts the distribution of mutations and mutation types across the PDE4DIP significant gene.

PRR21

Figure S28.  This figure depicts the distribution of mutations and mutation types across the PRR21 significant gene.

SLC15A3

Figure S29.  This figure depicts the distribution of mutations and mutation types across the SLC15A3 significant gene.

GOLGA6B

Figure S30.  This figure depicts the distribution of mutations and mutation types across the GOLGA6B significant gene.

FNBP4

Figure S31.  This figure depicts the distribution of mutations and mutation types across the FNBP4 significant gene.

NOTCH2NL

Figure S32.  This figure depicts the distribution of mutations and mutation types across the NOTCH2NL significant gene.

OR4A16

Figure S33.  This figure depicts the distribution of mutations and mutation types across the OR4A16 significant gene.

PRIM2

Figure S34.  This figure depicts the distribution of mutations and mutation types across the PRIM2 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: 7. Number of genes displayed: 10

rank gene description n cos n_cos N_cos cos_ev p q
1 TP53 tumor protein p53 5 308 5 25564 1608 8.1e-10 3.7e-06
2 CHEK2 CHK2 checkpoint homolog (S. pombe) 2 2 2 166 2 3.3e-08 0.000075
3 CTNNB1 catenin (cadherin-associated protein), beta 1, 88kDa 3 101 3 8383 1229 3.7e-07 0.00056
4 ACSM2B acyl-CoA synthetase medium-chain family member 2B 1 1 1 83 1 0.00013 0.084
5 BRE brain and reproductive organ-expressed (TNFRSF1A modulator) 1 1 1 83 1 0.00013 0.084
6 KCNH1 potassium voltage-gated channel, subfamily H (eag-related), member 1 1 1 1 83 1 0.00013 0.084
7 PTEN phosphatase and tensin homolog (mutated in multiple advanced cancers 1) 3 728 3 60424 15 0.00013 0.084
8 CHAT choline acetyltransferase 2 2 1 166 1 0.00026 0.13
9 CYP4F2 cytochrome P450, family 4, subfamily F, polypeptide 2 1 2 1 166 2 0.00026 0.13
10 PIK3CA phosphoinositide-3-kinase, catalytic, alpha polypeptide 2 184 2 15272 355 0.00028 0.13

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
1643 MUC4 mucin 4, cell surface associated 15 0 13 23 23 13 23 23
476 CDC27 cell division cycle 27 homolog (S. cerevisiae) 10 0 6 8 9 6 8 9
2258 SCAI suppressor of cancer cell invasion 5 0 6 6 6 6 6 6
91 AGT angiotensinogen (serpin peptidase inhibitor, clade A, member 8) 3 0 3 3 3 3 3 3
143 ANKRD36 ankyrin repeat domain 36 4 0 3 3 3 3 3 3
460 CCNF cyclin F 3 0 3 3 3 3 3 3
558 CLSTN1 calsyntenin 1 3 0 3 3 3 3 3 3
618 CROCC ciliary rootlet coiled-coil, rootletin 5 0 3 3 3 3 3 3
658 CYP2D6 cytochrome P450, family 2, subfamily D, polypeptide 6 4 0 3 3 3 3 3 3
772 DUSP27 dual specificity phosphatase 27 (putative) 3 0 3 3 3 3 3 3

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: 3. 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 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 CDKN1B(2), PRB1(3), TP53(5) 1062488 10 10 10 0 3 1 0 3 3 0 0.12 6.3e-06 0.0039
2 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(5), CHEK2(2), TP53(5) 1994178 12 11 11 0 3 6 0 2 1 0 0.032 0.000049 0.015
3 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(2), AKT1(1), ATM(5), TP53(5) 2602579 13 12 13 0 4 6 0 2 1 0 0.015 0.00033 0.068
4 SA_REG_CASCADE_OF_CYCLIN_EXPR Expression of cyclins regulates progression through the cell cycle by activating cyclin-dependent kinases. CCNA1, CCNA2, CCND1, CCNE1, CCNE2, CDK2, CDK4, CDKN1B, CDKN2A, E2F1, E2F2, E2F4, PRB1 13 CCNA1(1), CCNE2(1), CDKN1B(2), PRB1(3) 1130432 7 7 7 0 0 2 0 3 2 0 0.25 0.00098 0.15
5 P53PATHWAY p53 induces cell cycle arrest or apoptosis under conditions of DNA damage. APAF1, ATM, BAX, BCL2, CCND1, CCNE1, CDK2, CDK4, CDKN1A, E2F1, GADD45A, MDM2, PCNA, RB1, TIMP3, TP53 16 APAF1(1), ATM(5), TP53(5) 2266716 11 10 11 0 3 5 0 2 1 0 0.034 0.0014 0.17
6 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 SP1(1), TP53(5) 879118 6 6 6 0 3 1 0 1 1 0 0.16 0.0022 0.22
7 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(5), TP53(5) 2195302 10 9 10 1 3 4 0 2 1 0 0.18 0.0032 0.28
8 G1PATHWAY CDK4/6-cyclin D and CDK2-cyclin E phosphorylate Rb, which allows the transcription of genes needed for the G1/S cell cycle transition. ABL1, ATM, ATR, CCNA1, CCND1, CCNE1, CDC2, CDC25A, CDK2, CDK4, CDK6, CDKN1A, CDKN1B, CDKN2A, CDKN2B, DHFR, E2F1, GSK3B, HDAC1, MADH3, MADH4, RB1, SKP2, TFDP1, TGFB1, TGFB2, TGFB3, TP53 25 ATM(5), CCNA1(1), CDKN1B(2), DHFR(1), TP53(5) 3787641 14 12 14 0 3 5 0 2 4 0 0.032 0.0055 0.38
9 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(1), APAF1(1), ATM(5), TLN1(1), TP53(5) 3433242 13 12 13 0 3 6 0 3 1 0 0.019 0.0057 0.38
10 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(5), BRCA2(3), CHEK2(2), FANCD2(2), FANCG(1), TP53(5) 5495234 18 15 16 1 3 6 0 6 3 0 0.061 0.0062 0.38

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 SA_REG_CASCADE_OF_CYCLIN_EXPR Expression of cyclins regulates progression through the cell cycle by activating cyclin-dependent kinases. CCNA1, CCNA2, CCND1, CCNE1, CCNE2, CDK2, CDK4, CDKN1B, CDKN2A, E2F1, E2F2, E2F4, PRB1 13 CCNA1(1), CCNE2(1), CDKN1B(2), PRB1(3) 1130432 7 7 7 0 0 2 0 3 2 0 0.25 0.00098 0.6
2 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 14 CDKN1B(2), PRB1(3) 956967 5 5 5 0 0 1 0 2 2 0 0.45 0.0071 1
3 SMALL_LIGAND_GPCRS C9orf47, CNR1, CNR2, DNMT1, EDG1, EDG2, EDG5, EDG6, MTNR1A, MTNR1B, PTAFR, PTGDR, PTGER1, PTGER2, PTGER4, PTGFR, PTGIR, TBXA2R 13 DNMT1(3), MTNR1A(1), PTGER2(1), TBXA2R(2) 1410721 7 7 7 1 3 2 0 1 1 0 0.19 0.011 1
4 PTENPATHWAY PTEN suppresses AKT-induced cell proliferation and antagonizes the action of PI3K. AKT1, BCAR1, CDKN1B, FOXO3A, GRB2, ILK, ITGB1, MAPK1, MAPK3, PDK2, PDPK1, PIK3CA, PIK3R1, PTEN, PTK2, SHC1, SOS1, TNFSF6 16 AKT1(1), CDKN1B(2), PIK3CA(2), PTEN(3) 2419782 8 8 8 1 0 3 1 1 3 0 0.36 0.013 1
5 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 18 ABCB1(2), AKT1(1), ATM(5) 2497058 8 8 8 0 1 6 0 1 0 0 0.053 0.02 1
6 HSA00670_ONE_CARBON_POOL_BY_FOLATE Genes involved in one carbon pool by folate ALDH1L1, AMT, ATIC, DHFR, FTCD, GART, MTFMT, MTHFD1, MTHFD1L, MTHFD2, MTHFR, MTHFS, MTR, SHMT1, SHMT2, TYMS 16 DHFR(1), FTCD(2), GART(1), MTHFD1(1), MTHFD1L(1), MTHFR(1) 2365631 7 7 7 0 0 2 0 2 3 0 0.21 0.021 1
7 LONGEVITYPATHWAY Caloric restriction in animals often increases lifespan, which may occur via decreased IGF receptor expression and consequent expression of stress-resistance proteins. AKT1, CAT, FOXO3A, GH1, GHR, HRAS, IGF1, IGF1R, PIK3CA, PIK3R1, SHC1, SOD1, SOD2, SOD3 13 AKT1(1), GHR(1), IGF1R(1), PIK3CA(2), SOD3(1) 1657357 6 6 6 0 0 4 1 1 0 0 0.12 0.022 1
8 HSA00564_GLYCEROPHOSPHOLIPID_METABOLISM Genes involved in glycerophospholipid metabolism ACHE, AGPAT1, AGPAT2, AGPAT3, AGPAT4, AGPAT6, ARD1A, CDIPT, CDS1, CDS2, CHAT, CHKA, CHKB, CHPT1, CRLS1, DGKA, DGKB, DGKD, DGKE, DGKG, DGKH, DGKI, DGKQ, DGKZ, ESCO1, ESCO2, ETNK1, ETNK2, GNPAT, GPAM, GPD1, GPD1L, GPD2, LCAT, LYCAT, LYPLA1, LYPLA2, LYPLA3, MYST3, MYST4, NAT5, NAT6, PCYT1A, PCYT1B, PEMT, PHOSPHO1, PISD, PLA2G10, PLA2G12A, PLA2G12B, PLA2G1B, PLA2G2A, PLA2G2D, PLA2G2E, PLA2G2F, PLA2G3, PLA2G4A, PLA2G5, PLA2G6, PLD1, PLD2, PNPLA3, PPAP2A, PPAP2B, PPAP2C, PTDSS1, PTDSS2, SH3GLB1 64 AGPAT2(1), AGPAT3(1), CHAT(2), DGKD(1), DGKH(1), DGKI(1), DGKQ(2), ESCO1(3), GNPAT(1), MYST3(1), PEMT(1), PLA2G2A(1), PLA2G4A(1), PLA2G5(1), PLD1(1), PTDSS1(1) 8241571 20 19 20 2 2 4 1 9 4 0 0.11 0.03 1
9 TRKAPATHWAY Nerve growth factor (NGF) promotes neuronal survival and proliferation by binding its receptor TrkA, which activates PI3K/AKT, Ras, and the MAP kinase pathway. AKT1, DPM2, GRB2, HRAS, KLK2, NGFB, NTRK1, PIK3CA, PIK3R1, PLCG1, PRKCA, PRKCB1, SHC1, SOS1 12 AKT1(1), KLK2(1), NTRK1(2), PIK3CA(2) 1940556 6 6 6 0 0 4 1 0 1 0 0.13 0.031 1
10 ST_PHOSPHOINOSITIDE_3_KINASE_PATHWAY The phosphoinositide-3 kinase pathway produces the lipid second messenger PIP3 and regulates cell growth, survival, and movement. A1BG, AKT1, AKT2, AKT3, BAD, BTK, CDKN2A, CSL4, DAF, DAPP1, FOXO1A, GRB2, GSK3A, GSK3B, IARS, IGFBP1, INPP5D, P14, PDK1, PIK3CA, PPP1R13B, PSCD3, PTEN, RPS6KA1, RPS6KA2, RPS6KA3, RPS6KB1, SFN, SHC1, SOS1, SOS2, TEC, YWHAB, YWHAE, YWHAG, YWHAH, YWHAQ, YWHAZ 33 A1BG(1), AKT1(1), BTK(1), GSK3A(1), PDK1(1), PIK3CA(2), PPP1R13B(1), PTEN(3) 4518736 11 11 11 1 1 3 1 4 2 0 0.16 0.039 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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