This pipeline computes the correlation between significantly recurrent gene mutations and selected clinical features.
Testing the association between mutation status of 47 genes and 8 clinical features across 116 patients, 2 significant findings detected with Q value < 0.25.
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CBWD1 mutation correlated to 'PATHOLOGY.T'.
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INO80E mutation correlated to 'PATHOLOGY.T'.
Clinical Features |
Time to Death |
AGE | GENDER |
HISTOLOGICAL TYPE |
PATHOLOGY T |
PATHOLOGY N |
PATHOLOGICSPREAD(M) |
TUMOR STAGE |
||
nMutated (%) | nWild-Type | logrank test | t-test | Fisher's exact test | Chi-square test | Fisher's exact test | Fisher's exact test | Fisher's exact test | Fisher's exact test | |
CBWD1 | 14 (12%) | 102 |
0.303 (1.00) |
0.0229 (1.00) |
0.243 (1.00) |
0.312 (1.00) |
0.000583 (0.213) |
0.692 (1.00) |
0.505 (1.00) |
0.264 (1.00) |
INO80E | 5 (4%) | 111 |
0.936 (1.00) |
0.0798 (1.00) |
0.805 (1.00) |
0.000484 (0.178) |
0.913 (1.00) |
0.554 (1.00) |
0.0587 (1.00) |
|
KRAS | 14 (12%) | 102 |
0.353 (1.00) |
0.496 (1.00) |
0.243 (1.00) |
0.701 (1.00) |
0.8 (1.00) |
0.348 (1.00) |
0.623 (1.00) |
0.41 (1.00) |
PGM5 | 16 (14%) | 100 |
0.962 (1.00) |
0.00184 (0.667) |
0.0138 (1.00) |
0.495 (1.00) |
0.00445 (1.00) |
0.898 (1.00) |
0.555 (1.00) |
0.381 (1.00) |
RPL22 | 9 (8%) | 107 |
0.478 (1.00) |
0.0449 (1.00) |
0.48 (1.00) |
0.591 (1.00) |
0.0528 (1.00) |
0.303 (1.00) |
0.000925 (0.338) |
0.099 (1.00) |
TP53 | 52 (45%) | 64 |
0.0826 (1.00) |
0.519 (1.00) |
0.345 (1.00) |
0.0205 (1.00) |
0.754 (1.00) |
0.975 (1.00) |
0.123 (1.00) |
0.747 (1.00) |
TRIM48 | 10 (9%) | 106 |
0.322 (1.00) |
0.157 (1.00) |
0.191 (1.00) |
0.448 (1.00) |
0.0924 (1.00) |
0.698 (1.00) |
0.0506 (1.00) |
0.241 (1.00) |
XPOT | 6 (5%) | 110 |
0.238 (1.00) |
0.68 (1.00) |
0.812 (1.00) |
1 (1.00) |
0.646 (1.00) |
0.114 (1.00) |
0.489 (1.00) |
|
PIK3CA | 24 (21%) | 92 |
0.407 (1.00) |
0.457 (1.00) |
0.253 (1.00) |
0.789 (1.00) |
0.669 (1.00) |
0.655 (1.00) |
1 (1.00) |
0.375 (1.00) |
ACVR2A | 13 (11%) | 103 |
0.00155 (0.563) |
0.218 (1.00) |
0.131 (1.00) |
0.263 (1.00) |
0.128 (1.00) |
0.881 (1.00) |
0.371 (1.00) |
0.414 (1.00) |
RHOA | 7 (6%) | 109 |
0.0968 (1.00) |
0.0615 (1.00) |
0.701 (1.00) |
0.451 (1.00) |
0.559 (1.00) |
0.765 (1.00) |
0.681 (1.00) |
0.157 (1.00) |
ARID1A | 22 (19%) | 94 |
0.225 (1.00) |
0.814 (1.00) |
0.0525 (1.00) |
0.298 (1.00) |
0.114 (1.00) |
0.422 (1.00) |
0.0193 (1.00) |
0.168 (1.00) |
OR8H3 | 10 (9%) | 106 |
0.626 (1.00) |
0.424 (1.00) |
0.738 (1.00) |
0.0783 (1.00) |
0.774 (1.00) |
0.113 (1.00) |
0.724 (1.00) |
0.688 (1.00) |
EDNRB | 12 (10%) | 104 |
0.877 (1.00) |
0.831 (1.00) |
0.537 (1.00) |
0.365 (1.00) |
0.233 (1.00) |
0.339 (1.00) |
0.451 (1.00) |
0.885 (1.00) |
ZNF804B | 18 (16%) | 98 |
0.909 (1.00) |
0.267 (1.00) |
0.61 (1.00) |
0.416 (1.00) |
1 (1.00) |
0.13 (1.00) |
0.382 (1.00) |
0.0243 (1.00) |
IRF2 | 8 (7%) | 108 |
0.74 (1.00) |
0.234 (1.00) |
0.0568 (1.00) |
0.762 (1.00) |
0.0166 (1.00) |
0.873 (1.00) |
0.288 (1.00) |
0.928 (1.00) |
IAPP | 4 (3%) | 112 |
0.485 (1.00) |
1 (1.00) |
0.937 (1.00) |
1 (1.00) |
0.897 (1.00) |
0.189 (1.00) |
0.107 (1.00) |
|
PCDH15 | 22 (19%) | 94 |
0.855 (1.00) |
0.534 (1.00) |
0.63 (1.00) |
0.878 (1.00) |
0.407 (1.00) |
0.757 (1.00) |
0.649 (1.00) |
0.222 (1.00) |
SPRYD5 | 8 (7%) | 108 |
0.143 (1.00) |
0.135 (1.00) |
1 (1.00) |
0.904 (1.00) |
0.0528 (1.00) |
0.765 (1.00) |
0.103 (1.00) |
0.0411 (1.00) |
TUSC3 | 9 (8%) | 107 |
0.76 (1.00) |
0.28 (1.00) |
1 (1.00) |
0.783 (1.00) |
0.46 (1.00) |
0.488 (1.00) |
0.329 (1.00) |
0.551 (1.00) |
FGF22 | 3 (3%) | 113 |
0.0539 (1.00) |
0.562 (1.00) |
0.712 (1.00) |
0.381 (1.00) |
||||
HLA-B | 9 (8%) | 107 |
0.963 (1.00) |
0.717 (1.00) |
0.028 (1.00) |
0.556 (1.00) |
0.126 (1.00) |
0.111 (1.00) |
0.329 (1.00) |
0.303 (1.00) |
PTH2 | 3 (3%) | 113 |
0.782 (1.00) |
0.562 (1.00) |
0.775 (1.00) |
0.78 (1.00) |
0.377 (1.00) |
1 (1.00) |
0.687 (1.00) |
|
C17ORF63 | 3 (3%) | 113 |
0.524 (1.00) |
0.562 (1.00) |
0.836 (1.00) |
0.121 (1.00) |
0.437 (1.00) |
1 (1.00) |
0.532 (1.00) |
|
SMAD4 | 7 (6%) | 109 |
0.103 (1.00) |
0.051 (1.00) |
0.701 (1.00) |
0.663 (1.00) |
0.9 (1.00) |
1 (1.00) |
0.153 (1.00) |
1 (1.00) |
POTEG | 6 (5%) | 110 |
0.221 (1.00) |
0.0101 (1.00) |
0.68 (1.00) |
0.568 (1.00) |
0.643 (1.00) |
0.683 (1.00) |
1 (1.00) |
0.806 (1.00) |
RNF43 | 13 (11%) | 103 |
0.0257 (1.00) |
0.0612 (1.00) |
0.368 (1.00) |
0.151 (1.00) |
0.062 (1.00) |
0.881 (1.00) |
0.484 (1.00) |
0.185 (1.00) |
WBSCR17 | 12 (10%) | 104 |
0.116 (1.00) |
0.185 (1.00) |
0.537 (1.00) |
0.281 (1.00) |
0.419 (1.00) |
0.965 (1.00) |
0.333 (1.00) |
0.835 (1.00) |
PHF2 | 12 (10%) | 104 |
0.905 (1.00) |
0.017 (1.00) |
0.537 (1.00) |
0.403 (1.00) |
0.0106 (1.00) |
0.6 (1.00) |
0.00397 (1.00) |
0.118 (1.00) |
TPTE | 14 (12%) | 102 |
0.382 (1.00) |
0.92 (1.00) |
0.401 (1.00) |
0.00396 (1.00) |
0.283 (1.00) |
0.263 (1.00) |
0.505 (1.00) |
0.974 (1.00) |
CDH1 | 11 (9%) | 105 |
0.516 (1.00) |
0.137 (1.00) |
0.751 (1.00) |
0.116 (1.00) |
0.565 (1.00) |
0.79 (1.00) |
1 (1.00) |
0.134 (1.00) |
CPS1 | 13 (11%) | 103 |
0.862 (1.00) |
0.922 (1.00) |
0.24 (1.00) |
0.471 (1.00) |
0.608 (1.00) |
0.526 (1.00) |
0.202 (1.00) |
0.943 (1.00) |
ELF3 | 5 (4%) | 111 |
0.541 (1.00) |
0.701 (1.00) |
0.384 (1.00) |
0.402 (1.00) |
0.366 (1.00) |
0.623 (1.00) |
1 (1.00) |
0.928 (1.00) |
PARK2 | 9 (8%) | 107 |
0.73 (1.00) |
0.00874 (1.00) |
1 (1.00) |
0.109 (1.00) |
0.292 (1.00) |
0.351 (1.00) |
0.329 (1.00) |
0.199 (1.00) |
LARP4B | 5 (4%) | 111 |
0.541 (1.00) |
0.445 (1.00) |
0.384 (1.00) |
0.402 (1.00) |
0.0286 (1.00) |
0.897 (1.00) |
1 (1.00) |
0.489 (1.00) |
OR6K3 | 6 (5%) | 110 |
0.63 (1.00) |
0.436 (1.00) |
0.212 (1.00) |
0.153 (1.00) |
0.322 (1.00) |
1 (1.00) |
0.309 (1.00) |
0.147 (1.00) |
TM7SF4 | 7 (6%) | 109 |
0.915 (1.00) |
0.553 (1.00) |
0.701 (1.00) |
0.855 (1.00) |
0.619 (1.00) |
0.847 (1.00) |
1 (1.00) |
0.676 (1.00) |
UPF3A | 6 (5%) | 110 |
0.647 (1.00) |
0.253 (1.00) |
0.68 (1.00) |
0.86 (1.00) |
0.00203 (0.736) |
0.789 (1.00) |
0.21 (1.00) |
0.244 (1.00) |
C7ORF63 | 5 (4%) | 111 |
0.471 (1.00) |
0.42 (1.00) |
0.0798 (1.00) |
0.322 (1.00) |
0.0223 (1.00) |
0.646 (1.00) |
0.155 (1.00) |
0.587 (1.00) |
KDM4B | 10 (9%) | 106 |
0.81 (1.00) |
0.0778 (1.00) |
0.0136 (1.00) |
0.435 (1.00) |
0.126 (1.00) |
0.847 (1.00) |
0.369 (1.00) |
0.512 (1.00) |
KIAA0748 | 7 (6%) | 109 |
0.337 (1.00) |
0.375 (1.00) |
1 (1.00) |
0.735 (1.00) |
0.699 (1.00) |
0.568 (1.00) |
1 (1.00) |
0.199 (1.00) |
OR8B4 | 3 (3%) | 113 |
0.541 (1.00) |
0.782 (1.00) |
0.562 (1.00) |
0.389 (1.00) |
0.357 (1.00) |
0.082 (1.00) |
1 (1.00) |
0.292 (1.00) |
POM121L12 | 7 (6%) | 109 |
0.943 (1.00) |
0.449 (1.00) |
1 (1.00) |
0.568 (1.00) |
0.106 (1.00) |
0.769 (1.00) |
0.153 (1.00) |
0.38 (1.00) |
RASA1 | 9 (8%) | 107 |
0.307 (1.00) |
0.0831 (1.00) |
0.739 (1.00) |
0.216 (1.00) |
0.0242 (1.00) |
0.698 (1.00) |
0.0915 (1.00) |
0.547 (1.00) |
SLITRK6 | 10 (9%) | 106 |
0.231 (1.00) |
0.693 (1.00) |
0.738 (1.00) |
0.742 (1.00) |
0.925 (1.00) |
0.619 (1.00) |
0.26 (1.00) |
0.327 (1.00) |
TP53TG5 | 4 (3%) | 112 |
0.739 (1.00) |
0.758 (1.00) |
1 (1.00) |
0.048 (1.00) |
0.0655 (1.00) |
0.404 (1.00) |
1 (1.00) |
0.489 (1.00) |
LHCGR | 7 (6%) | 109 |
0.863 (1.00) |
0.369 (1.00) |
1 (1.00) |
0.808 (1.00) |
0.0805 (1.00) |
0.442 (1.00) |
0.249 (1.00) |
0.928 (1.00) |
P value = 0.000583 (Fisher's exact test), Q value = 0.21
nPatients | T1 | T2 | T3 | T4 |
---|---|---|---|---|
ALL | 4 | 46 | 41 | 15 |
CBWD1 MUTATED | 3 | 2 | 3 | 4 |
CBWD1 WILD-TYPE | 1 | 44 | 38 | 11 |
P value = 0.000484 (Fisher's exact test), Q value = 0.18
nPatients | T1 | T2 | T3 | T4 |
---|---|---|---|---|
ALL | 4 | 46 | 41 | 15 |
INO80E MUTATED | 0 | 0 | 0 | 4 |
INO80E WILD-TYPE | 4 | 46 | 41 | 11 |
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Mutation data file = STAD-TP.mutsig.cluster.txt
-
Clinical data file = STAD-TP.clin.merged.picked.txt
-
Number of patients = 116
-
Number of significantly mutated genes = 47
-
Number of selected clinical features = 8
-
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 multi-class clinical features (nominal or ordinal), Chi-square tests (Greenwood and Nikulin 1996) were used to estimate the P values using the 'chisq.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.