(primary solid tumor cohort)
This pipeline computes the correlation between significantly recurrent gene mutations and selected clinical features.
Testing the association between mutation status of 31 genes and 8 clinical features across 293 patients, 2 significant findings detected with Q value < 0.25.
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BAP1 mutation correlated to 'TUMOR.STAGE'.
-
TP53 mutation correlated to 'Time to Death'.
Clinical Features |
Time to Death |
AGE | GENDER |
KARNOFSKY PERFORMANCE SCORE |
PATHOLOGY T |
PATHOLOGY N |
PATHOLOGICSPREAD(M) |
TUMOR STAGE |
||
nMutated (%) | nWild-Type | logrank test | t-test | Fisher's exact test | t-test | Fisher's exact test | Fisher's exact test | Fisher's exact test | Fisher's exact test | |
BAP1 | 27 (9%) | 266 |
0.0136 (1.00) |
0.742 (1.00) |
0.00238 (0.511) |
0.00295 (0.63) |
0.627 (1.00) |
0.00411 (0.876) |
0.000388 (0.0846) |
|
TP53 | 6 (2%) | 287 |
0.000354 (0.0775) |
0.259 (1.00) |
0.188 (1.00) |
0.0158 (1.00) |
0.271 (1.00) |
0.579 (1.00) |
0.0249 (1.00) |
|
PBRM1 | 106 (36%) | 187 |
0.525 (1.00) |
0.892 (1.00) |
0.16 (1.00) |
0.429 (1.00) |
0.86 (1.00) |
0.746 (1.00) |
0.592 (1.00) |
0.901 (1.00) |
VHL | 138 (47%) | 155 |
0.668 (1.00) |
0.0301 (1.00) |
0.269 (1.00) |
0.359 (1.00) |
0.0815 (1.00) |
0.756 (1.00) |
1 (1.00) |
0.169 (1.00) |
SETD2 | 33 (11%) | 260 |
0.747 (1.00) |
0.136 (1.00) |
0.119 (1.00) |
0.192 (1.00) |
0.605 (1.00) |
0.059 (1.00) |
0.0967 (1.00) |
|
KDM5C | 18 (6%) | 275 |
0.0803 (1.00) |
0.206 (1.00) |
0.00486 (1.00) |
0.622 (1.00) |
0.516 (1.00) |
1 (1.00) |
0.856 (1.00) |
|
MUC4 | 41 (14%) | 252 |
0.454 (1.00) |
0.247 (1.00) |
0.597 (1.00) |
0.00706 (1.00) |
0.217 (1.00) |
0.0431 (1.00) |
0.0021 (0.453) |
|
MTOR | 24 (8%) | 269 |
0.123 (1.00) |
0.203 (1.00) |
0.119 (1.00) |
0.298 (1.00) |
0.0602 (1.00) |
1 (1.00) |
0.346 (1.00) |
|
PTEN | 9 (3%) | 284 |
0.769 (1.00) |
0.219 (1.00) |
0.503 (1.00) |
0.347 (1.00) |
0.0286 (1.00) |
0.613 (1.00) |
0.0971 (1.00) |
|
EBPL | 6 (2%) | 287 |
0.48 (1.00) |
0.527 (1.00) |
0.00161 (0.35) |
0.117 (1.00) |
1 (1.00) |
1 (1.00) |
0.0646 (1.00) |
|
NBPF10 | 19 (6%) | 274 |
0.173 (1.00) |
0.305 (1.00) |
0.133 (1.00) |
0.147 (1.00) |
0.113 (1.00) |
0.0274 (1.00) |
0.115 (1.00) |
|
BAGE2 | 4 (1%) | 289 |
0.961 (1.00) |
0.667 (1.00) |
0.612 (1.00) |
0.796 (1.00) |
1 (1.00) |
1 (1.00) |
0.589 (1.00) |
|
PIK3CA | 10 (3%) | 283 |
0.253 (1.00) |
0.808 (1.00) |
0.743 (1.00) |
0.342 (1.00) |
1 (1.00) |
1 (1.00) |
0.336 (1.00) |
|
WDR52 | 9 (3%) | 284 |
0.967 (1.00) |
0.395 (1.00) |
0.724 (1.00) |
0.647 (1.00) |
1 (1.00) |
0.342 (1.00) |
0.842 (1.00) |
|
TPTE2 | 7 (2%) | 286 |
0.3 (1.00) |
0.309 (1.00) |
1 (1.00) |
0.48 (1.00) |
1 (1.00) |
0.599 (1.00) |
0.596 (1.00) |
|
TSPAN19 | 4 (1%) | 289 |
0.319 (1.00) |
0.467 (1.00) |
1 (1.00) |
0.458 (1.00) |
1 (1.00) |
0.437 (1.00) |
0.223 (1.00) |
|
ANKRD7 | 4 (1%) | 289 |
0.193 (1.00) |
0.758 (1.00) |
0.612 (1.00) |
0.19 (1.00) |
1 (1.00) |
1 (1.00) |
0.464 (1.00) |
|
C5ORF13 | 3 (1%) | 290 |
0.32 (1.00) |
0.465 (1.00) |
0.278 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
|
CNTNAP4 | 9 (3%) | 284 |
0.485 (1.00) |
0.5 (1.00) |
0.724 (1.00) |
0.51 (1.00) |
1 (1.00) |
1 (1.00) |
0.513 (1.00) |
|
CR1 | 10 (3%) | 283 |
0.594 (1.00) |
0.711 (1.00) |
0.743 (1.00) |
0.902 (1.00) |
1 (1.00) |
0.628 (1.00) |
0.777 (1.00) |
|
GFRAL | 5 (2%) | 288 |
0.655 (1.00) |
0.0399 (1.00) |
1 (1.00) |
0.096 (1.00) |
1 (1.00) |
1 (1.00) |
0.288 (1.00) |
|
GRIN2B | 11 (4%) | 282 |
0.952 (1.00) |
0.755 (1.00) |
1 (1.00) |
0.831 (1.00) |
1 (1.00) |
1 (1.00) |
0.587 (1.00) |
|
OR10G7 | 5 (2%) | 288 |
0.0498 (1.00) |
0.301 (1.00) |
1 (1.00) |
0.568 (1.00) |
1 (1.00) |
0.513 (1.00) |
0.0542 (1.00) |
|
SFRS15 | 9 (3%) | 284 |
0.564 (1.00) |
0.804 (1.00) |
0.724 (1.00) |
0.647 (1.00) |
1 (1.00) |
1 (1.00) |
0.459 (1.00) |
|
STAG2 | 9 (3%) | 284 |
0.971 (1.00) |
0.0169 (1.00) |
1 (1.00) |
0.112 (1.00) |
1 (1.00) |
1 (1.00) |
0.161 (1.00) |
|
CCNB2 | 5 (2%) | 288 |
0.784 (1.00) |
0.459 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.911 (1.00) |
|
NPNT | 6 (2%) | 287 |
0.0806 (1.00) |
0.222 (1.00) |
0.668 (1.00) |
0.342 (1.00) |
1 (1.00) |
1 (1.00) |
0.219 (1.00) |
|
LIPI | 5 (2%) | 288 |
0.507 (1.00) |
0.0842 (1.00) |
0.661 (1.00) |
0.325 (1.00) |
1 (1.00) |
0.133 (1.00) |
0.153 (1.00) |
|
PCLO | 20 (7%) | 273 |
0.537 (1.00) |
0.775 (1.00) |
0.223 (1.00) |
0.763 (1.00) |
1 (1.00) |
0.737 (1.00) |
0.68 (1.00) |
|
ZNF800 | 6 (2%) | 287 |
0.166 (1.00) |
0.599 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.579 (1.00) |
0.806 (1.00) |
|
SPAM1 | 5 (2%) | 288 |
0.27 (1.00) |
0.192 (1.00) |
0.661 (1.00) |
0.096 (1.00) |
1 (1.00) |
1 (1.00) |
0.288 (1.00) |
P value = 0.000388 (Fisher's exact test), Q value = 0.085
nPatients | I | II | III | IV |
---|---|---|---|---|
ALL | 144 | 31 | 76 | 42 |
BAP1 MUTATED | 5 | 5 | 7 | 10 |
BAP1 WILD-TYPE | 139 | 26 | 69 | 32 |
P value = 0.000354 (logrank test), Q value = 0.077
nPatients | nDeath | Duration Range (Median), Month | |
---|---|---|---|
ALL | 291 | 77 | 0.1 - 109.6 (34.3) |
TP53 MUTATED | 6 | 3 | 0.2 - 25.7 (9.8) |
TP53 WILD-TYPE | 285 | 74 | 0.1 - 109.6 (35.2) |
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Mutation data file = KIRC-TP.mutsig.cluster.txt
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Clinical data file = KIRC-TP.clin.merged.picked.txt
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Number of patients = 293
-
Number of significantly mutated genes = 31
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Number of selected clinical features = 8
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Exclude genes that fewer than K tumors have mutations, K = 3
For survival clinical features, the Kaplan-Meier survival curves of tumors with and without gene mutations were plotted and the statistical significance P values were estimated by logrank test (Bland and Altman 2004) using the 'survdiff' function in R
For continuous numerical clinical features, two-tailed Student's t test with unequal variance (Lehmann and Romano 2005) was applied to compare the clinical values between tumors with and without gene mutations using 't.test' function in R
For binary or multi-class clinical features (nominal or ordinal), two-tailed Fisher's exact tests (Fisher 1922) were used to estimate the P values using the 'fisher.test' function in R
For multiple hypothesis correction, Q value is the False Discovery Rate (FDR) analogue of the P value (Benjamini and Hochberg 1995), defined as the minimum FDR at which the test may be called significant. We used the 'Benjamini and Hochberg' method of 'p.adjust' function in R to convert P values into Q values.
This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.