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
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.
MAF used for this analysis: PRAD.final_analysis_set.maf
Significantly mutated genes (q ≤ 0.1): 88
Mutations seen in COSMIC: 28
Significantly mutated genes in COSMIC territory: 7
Genes with clustered mutations (≤ 3 aa apart): 0
Significantly mutated genesets: 17
Significantly mutated genesets: (excluding sig. mutated genes): 1
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
Number of mutations before filtering: 5566
After removing 203 mutations outside gene set: 5363
After removing 4 mutations outside category set: 5359
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 |
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 |
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.
Figure 2. Patients counts and rates file used to generate this plot: PRAD.patients.counts_and_rates.txt
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.
Table 3. Get Full Table A Ranked List of Significantly Mutated Genes. Number of significant genes found: 88. 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 | CCNF | cyclin F | 199411 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.0006 | 0.79 | 2e-07 | 0.029 | 0 | <1.00e-15 | <4.53e-12 |
| 2 | CLSTN1 | calsyntenin 1 | 242387 | 3 | 3 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.0014 | 0.6 | 2e-07 | 0.07 | 0 | <1.00e-15 | <4.53e-12 |
| 3 | POM121 | POM121 membrane glycoprotein (rat) | 216520 | 3 | 3 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00076 | 0.48 | 6e-07 | 0.35 | 0 | <1.00e-15 | <4.53e-12 |
| 4 | ZNF285 | 148155 | 4 | 3 | 2 | 1 | 0 | 0 | 2 | 2 | 0 | 0 | 0.00012 | 0.74 | 1.8e-06 | 1.8e-06 | 0 | <1.00e-15 | <4.53e-12 | |
| 5 | MUC4 | mucin 4, cell surface associated | 272535 | 15 | 13 | 9 | 2 | 3 | 4 | 0 | 8 | 0 | 0 | 6.8e-14 | 0.13 | 0.00037 | 0.091 | 0.00096 | 2.44e-15 | 8.86e-12 |
| 6 | C9orf150 | chromosome 9 open reading frame 150 | 47265 | 3 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1.8e-08 | 1 | 3e-06 | 1 | 3.8e-06 | 2.13e-12 | 6.44e-09 |
| 7 | NKX3-1 | NK3 homeobox 1 | 43527 | 5 | 5 | 5 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 1.3e-10 | 0.26 | 0.11 | 0.0093 | 0.024 | 8.58e-11 | 2.22e-07 |
| 8 | FIP1L1 | FIP1 like 1 (S. cerevisiae) | 152119 | 3 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 4.7e-06 | 1 | 2e-07 | 1 | 1.2e-06 | 1.52e-10 | 3.45e-07 |
| 9 | NDUFS4 | NADH dehydrogenase (ubiquinone) Fe-S protein 4, 18kDa (NADH-coenzyme Q reductase) | 45401 | 3 | 3 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1.1e-06 | 0.58 | 6.4e-06 | 0.33 | 7e-06 | 2.04e-10 | 4.12e-07 |
| 10 | AGT | angiotensinogen (serpin peptidase inhibitor, clade A, member 8) | 122342 | 3 | 3 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.000058 | 0.53 | 6e-07 | 1 | 1.8e-06 | 2.51e-09 | 4.55e-06 |
| 11 | FRG1 | FSHD region gene 1 | 67208 | 6 | 5 | 4 | 0 | 0 | 2 | 0 | 3 | 1 | 0 | 6e-10 | 0.32 | 0.31 | 1 | 0.5 | 6.81e-09 | 0.000011 |
| 12 | TP53 | tumor protein p53 | 105521 | 5 | 5 | 5 | 0 | 3 | 0 | 0 | 1 | 1 | 0 | 1.2e-07 | 0.33 | 0.074 | 0.0014 | 0.0048 | 1.25e-08 | 0.000019 |
| 13 | DUSP27 | dual specificity phosphatase 27 (putative) | 264959 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00067 | 0.82 | 4e-07 | 0.92 | 1.6e-06 | 2.32e-08 | 0.000032 |
| 14 | ARHGAP11B | Rho GTPase activating protein 11B | 68637 | 4 | 4 | 2 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 3.3e-08 | 0.25 | NaN | NaN | NaN | 3.28e-08 | 0.000042 |
| 15 | TPTE2 | transmembrane phosphoinositide 3-phosphatase and tensin homolog 2 | 136261 | 6 | 6 | 6 | 1 | 1 | 2 | 0 | 2 | 1 | 0 | 1.8e-09 | 0.48 | 0.8 | 0.55 | 1 | 3.87e-08 | 0.000047 |
| 16 | SCAI | 157950 | 5 | 5 | 2 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 1.2e-07 | 0.45 | 0.012 | 0.4 | 0.023 | 5.55e-08 | 0.000063 | |
| 17 | SPOP | speckle-type POZ protein | 96345 | 4 | 4 | 3 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 6e-07 | 0.39 | 0.0072 | 0.27 | 0.0091 | 1.10e-07 | 0.00012 |
| 18 | SLC2A6 | solute carrier family 2 (facilitated glucose transporter), member 6 | 97622 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00091 | 0.61 | 0.0011 | 0.000023 | 6.4e-06 | 1.16e-07 | 0.00012 |
| 19 | ZNF492 | zinc finger protein 492 | 123622 | 4 | 4 | 3 | 0 | 0 | 3 | 0 | 1 | 0 | 0 | 0.000011 | 0.28 | 0.00036 | 0.55 | 0.0016 | 3.16e-07 | 0.00030 |
| 20 | GPATCH4 | G patch domain containing 4 | 97579 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0.00011 | 1 | 0.00086 | 0.28 | 0.00051 | 9.83e-07 | 0.00089 |
| 21 | ZNF98 | zinc finger protein 98 (F7175) | 122162 | 4 | 4 | 4 | 0 | 0 | 1 | 0 | 2 | 1 | 0 | 9.2e-08 | 0.45 | 0.71 | 0.97 | 1 | 1.58e-06 | 0.0013 |
| 22 | YBX1 | Y box binding protein 1 | 68945 | 4 | 3 | 2 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0.00013 | 0.32 | 0.014 | 0.00087 | 0.00073 | 1.60e-06 | 0.0013 |
| 23 | PRIM2 | primase, DNA, polypeptide 2 (58kDa) | 120943 | 4 | 4 | 2 | 4 | 0 | 0 | 0 | 1 | 3 | 0 | 1.9e-06 | 1 | NaN | NaN | NaN | 1.92e-06 | 0.0015 |
| 24 | MLL3 | myeloid/lymphoid or mixed-lineage leukemia 3 | 1228308 | 8 | 7 | 7 | 0 | 0 | 1 | 0 | 2 | 4 | 1 | 1.2e-06 | 0.23 | 0.06 | 0.73 | 0.098 | 1.95e-06 | 0.0015 |
| 25 | C17orf63 | chromosome 17 open reading frame 63 | 5972 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2.1e-06 | 0.65 | NaN | NaN | NaN | 2.09e-06 | 0.0015 |
| 26 | ZNF814 | zinc finger protein 814 | 168858 | 4 | 4 | 2 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0.000013 | 0.34 | 0.0026 | 0.99 | 0.013 | 2.68e-06 | 0.0019 |
| 27 | ETV3 | ets variant gene 3 | 36841 | 2 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0.000068 | 0.65 | 0.0023 | 0.78 | 0.0029 | 3.20e-06 | 0.0021 |
| 28 | FNBP4 | formin binding protein 4 | 236598 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0.00063 | 1 | 0.00035 | 0.95 | 0.00035 | 3.60e-06 | 0.0023 |
| 29 | CTNNB1 | catenin (cadherin-associated protein), beta 1, 88kDa | 199245 | 3 | 3 | 3 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0.00042 | 0.46 | 0.00068 | 0.24 | 0.00082 | 5.44e-06 | 0.0033 |
| 30 | 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 | 1.9e-06 | 0.6 | 0.085 | 0.96 | 0.18 | 5.49e-06 | 0.0033 |
| 31 | PRR21 | 58941 | 4 | 4 | 4 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 1.4e-06 | 0.26 | 0.2 | 0.93 | 0.31 | 6.86e-06 | 0.0040 | |
| 32 | UGT2B10 | UDP glucuronosyltransferase 2 family, polypeptide B10 | 264942 | 4 | 3 | 3 | 1 | 0 | 0 | 0 | 3 | 1 | 0 | 4e-05 | 0.73 | 0.0077 | 0.33 | 0.014 | 8.38e-06 | 0.0047 |
| 33 | WNT11 | wingless-type MMTV integration site family, member 11 | 59955 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00033 | 0.69 | 0.0017 | 0.86 | 0.0017 | 8.75e-06 | 0.0048 |
| 34 | ANKRD36 | ankyrin repeat domain 36 | 204931 | 4 | 4 | 2 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 0.000014 | 0.71 | 0.019 | 0.86 | 0.043 | 9.17e-06 | 0.0048 |
| 35 | OR6Y1 | olfactory receptor, family 6, subfamily Y, member 1 | 81216 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00029 | 0.67 | 0.0013 | 0.28 | 0.0021 | 9.27e-06 | 0.0048 |
Figure S1. This figure depicts the distribution of mutations and mutation types across the CCNF significant gene.
Figure S2. This figure depicts the distribution of mutations and mutation types across the CLSTN1 significant gene.
Figure S3. This figure depicts the distribution of mutations and mutation types across the POM121 significant gene.
Figure S4. This figure depicts the distribution of mutations and mutation types across the ZNF285 significant gene.
Figure S5. This figure depicts the distribution of mutations and mutation types across the MUC4 significant gene.
Figure S6. This figure depicts the distribution of mutations and mutation types across the C9orf150 significant gene.
Figure S7. This figure depicts the distribution of mutations and mutation types across the NKX3-1 significant gene.
Figure S8. This figure depicts the distribution of mutations and mutation types across the FIP1L1 significant gene.
Figure S9. This figure depicts the distribution of mutations and mutation types across the NDUFS4 significant gene.
Figure S10. This figure depicts the distribution of mutations and mutation types across the AGT significant gene.
Figure S11. This figure depicts the distribution of mutations and mutation types across the FRG1 significant gene.
Figure S12. This figure depicts the distribution of mutations and mutation types across the TP53 significant gene.
Figure S13. This figure depicts the distribution of mutations and mutation types across the DUSP27 significant gene.
Figure S14. This figure depicts the distribution of mutations and mutation types across the ARHGAP11B significant gene.
Figure S15. This figure depicts the distribution of mutations and mutation types across the TPTE2 significant gene.
Figure S16. This figure depicts the distribution of mutations and mutation types across the SCAI significant gene.
Figure S17. This figure depicts the distribution of mutations and mutation types across the SPOP significant gene.
Figure S18. This figure depicts the distribution of mutations and mutation types across the SLC2A6 significant gene.
Figure S19. This figure depicts the distribution of mutations and mutation types across the ZNF492 significant gene.
Figure S20. This figure depicts the distribution of mutations and mutation types across the GPATCH4 significant gene.
Figure S21. This figure depicts the distribution of mutations and mutation types across the ZNF98 significant gene.
Figure S22. This figure depicts the distribution of mutations and mutation types across the YBX1 significant gene.
Figure S23. This figure depicts the distribution of mutations and mutation types across the PRIM2 significant gene.
Figure S24. This figure depicts the distribution of mutations and mutation types across the MLL3 significant gene.
Figure S25. This figure depicts the distribution of mutations and mutation types across the C17orf63 significant gene.
Figure S26. This figure depicts the distribution of mutations and mutation types across the ZNF814 significant gene.
Figure S27. This figure depicts the distribution of mutations and mutation types across the ETV3 significant gene.
Figure S28. This figure depicts the distribution of mutations and mutation types across the FNBP4 significant gene.
Figure S29. This figure depicts the distribution of mutations and mutation types across the CTNNB1 significant gene.
Figure S30. This figure depicts the distribution of mutations and mutation types across the LILRB3 significant gene.
Figure S31. This figure depicts the distribution of mutations and mutation types across the PRR21 significant gene.
Figure S32. This figure depicts the distribution of mutations and mutation types across the UGT2B10 significant gene.
Figure S33. This figure depicts the distribution of mutations and mutation types across the WNT11 significant gene.
Figure S34. This figure depicts the distribution of mutations and mutation types across the ANKRD36 significant gene.
Note:
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 .
null - mutation category that includes nonsense, frameshift, splice-site mutations
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 = p-value (overall)
q = q-value, False Discovery Rate (Benjamini-Hochberg procedure)
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)
There were no clustered mutations discovered.
Table 5. Get Full Table A Ranked List of Significantly Mutated Genesets. (Source: MSigDB GSEA Cannonical Pathway Set).Number of significant genesets found: 17. 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 | 2.5e-07 | 0.00015 |
| 2 | 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 | 2.3e-06 | 0.0007 |
| 3 | 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 | 0.000012 | 0.0025 |
| 4 | HSA00530_AMINOSUGARS_METABOLISM | Genes involved in aminosugars metabolism | AMDHD2, CHIA, CHIT1, CMAS, CTBS, CYB5R1, CYB5R3, GFPT1, GFPT2, GNE, GNPDA1, GNPDA2, GNPNAT1, HEXA, HEXB, HK1, HK2, HK3, LHPP, MTMR1, MTMR2, MTMR6, NAGK, NANS, NPL, PGM3, PHPT1, RENBP, UAP1 | 29 | AMDHD2(1), CHIA(1), GFPT2(1), GNPNAT1(1), HEXB(2), PGM3(1), RENBP(1) | 3576644 | 8 | 8 | 8 | 0 | 2 | 1 | 0 | 2 | 3 | 0 | 0.18 | 0.00011 | 0.016 |
| 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 | 19 | ABCB1(2), AKT1(1), ATM(5), TP53(5) | 2602579 | 13 | 12 | 13 | 0 | 4 | 6 | 0 | 2 | 1 | 0 | 0.015 | 0.00013 | 0.016 |
| 6 | 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 | 0.00018 | 0.018 |
| 7 | 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 | 0.00036 | 0.029 |
| 8 | 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 | 0.00039 | 0.029 |
| 9 | 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 | 0.00042 | 0.029 |
| 10 | HSA00960_ALKALOID_BIOSYNTHESIS_II | Genes involved in alkaloid biosynthesis II | AADAC, ABP1, AOC2, AOC3, ARD1A, CES1, CES7, DDHD1, ESCO1, ESCO2, LIPA, LYCAT, MYST3, MYST4, NAT5, NAT6, PLA1A, PNPLA3, PPME1, PRDX6, SH3GLB1 | 18 | AADAC(1), ABP1(1), CES1(1), DDHD1(1), ESCO1(3), MYST3(1) | 3171676 | 8 | 8 | 8 | 1 | 1 | 1 | 0 | 4 | 2 | 0 | 0.43 | 0.00057 | 0.035 |
Table 6. Get Full Table A Ranked List of Significantly Mutated Genesets (Excluding Significantly Mutated Genes). Number of significant genesets found: 1. 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 | HSA00530_AMINOSUGARS_METABOLISM | Genes involved in aminosugars metabolism | AMDHD2, CHIA, CHIT1, CMAS, CTBS, CYB5R1, CYB5R3, GFPT1, GFPT2, GNE, GNPDA1, GNPDA2, GNPNAT1, HEXA, HEXB, HK1, HK2, HK3, LHPP, MTMR1, MTMR2, MTMR6, NAGK, NANS, NPL, PGM3, PHPT1, RENBP, UAP1 | 29 | AMDHD2(1), CHIA(1), GFPT2(1), GNPNAT1(1), HEXB(2), PGM3(1), RENBP(1) | 3576644 | 8 | 8 | 8 | 0 | 2 | 1 | 0 | 2 | 3 | 0 | 0.18 | 0.00011 | 0.067 |
| 2 | AMINOSUGARS_METABOLISM | CMAS, CYB5R3, GCK, GFPT1, GNE, GNPDA1, GNPDA2, HEXA, HEXB, HK1, HK2, HK3, PGM3, RENBP, UAP1 | 15 | GCK(1), HEXB(2), PGM3(1), RENBP(1) | 2107943 | 5 | 5 | 5 | 0 | 1 | 0 | 0 | 1 | 3 | 0 | 0.32 | 0.0024 | 0.58 | |
| 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 | 0.0041 | 0.58 | |
| 4 | 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 | 0.0047 | 0.58 |
| 5 | SIG_IL4RECEPTOR_IN_B_LYPHOCYTES | Genes related to IL4 rceptor signaling in B lymphocytes | AKT1, AKT2, AKT3, BAD, BCL2, GRB2, GSK3A, GSK3B, IL4R, IRS1, IRS2, JAK1, JAK3, MAP4K1, MAPK1, MAPK3, PDK1, PIK3CA, PIK3CD, PIK3R1, PPP1R13B, RAF1, SHC1, SOCS1, SOS1, SOS2, STAT6 | 27 | AKT1(1), GSK3A(1), IL4R(1), IRS1(1), IRS2(2), JAK1(3), MAP4K1(1), PDK1(1), PIK3CA(2), PPP1R13B(1) | 4578581 | 14 | 12 | 14 | 2 | 1 | 3 | 1 | 6 | 3 | 0 | 0.33 | 0.0059 | 0.58 |
| 6 | HSA03060_PROTEIN_EXPORT | Genes involved in protein export | OXA1L, SEC61A2, SRP19, SRP54, SRP68, SRP72, SRP9, SRPR | 8 | SEC61A2(1), SRP68(1), SRPR(1) | 933462 | 3 | 3 | 3 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0.51 | 0.0061 | 0.58 |
| 7 | 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 | 0.0066 | 0.58 |
| 8 | ETCPATHWAY | Energy is extracted from carbohydrates via oxidation and transferred to the mitochondrial electron transport chain, which couples ATP synthesis to the reduction of oxygen to water. | ATP5A1, CYCS, GPD2, MTCO1, NDUFA1, SDHA, SDHB, SDHC, SDHD, UQCRC1 | 9 | ATP5A1(1), SDHD(1), UQCRC1(1) | 823298 | 3 | 3 | 3 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0.46 | 0.0092 | 0.71 |
| 9 | 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 | 63 | AGPAT2(1), AGPAT3(1), CHAT(2), DGKD(1), DGKH(1), DGKI(1), DGKQ(2), GNPAT(1), MYST3(1), PEMT(1), PLA2G2A(1), PLA2G4A(1), PLA2G5(1), PLD1(1), PTDSS1(1) | 8029753 | 17 | 16 | 17 | 2 | 2 | 4 | 1 | 8 | 2 | 0 | 0.14 | 0.012 | 0.84 |
| 10 | HSA04140_REGULATION_OF_AUTOPHAGY | Genes involved in regulation of autophagy | ATG12, ATG3, ATG5, ATG7, BECN1, GABARAP, GABARAPL1, IFNA1, IFNA10, IFNA13, IFNA14, IFNA16, IFNA17, IFNA2, IFNA21, IFNA4, IFNA5, IFNA6, IFNA7, IFNA8, IFNG, INS, LOC441925, PIK3C3, PIK3R4, PRKAA1, PRKAA2, ULK1, ULK2, ULK3 | 29 | ATG12(1), ATG5(1), IFNA10(1), IFNA13(1), PIK3R4(1), PRKAA2(1) | 2655718 | 6 | 6 | 6 | 1 | 2 | 1 | 0 | 2 | 1 | 0 | 0.4 | 0.016 | 0.97 |
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]
This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.