This pipeline computes the correlation between significantly recurrent gene mutations and selected clinical features.
Testing the association between mutation status of 48 genes and 3 clinical features across 199 patients, 6 significant findings detected with Q value < 0.25.
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DNMT3A mutation correlated to 'Time to Death'.
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IDH2 mutation correlated to 'AGE'.
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TP53 mutation correlated to 'Time to Death'.
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ZAN mutation correlated to 'AGE'.
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FLJ43860 mutation correlated to 'Time to Death'.
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NINL mutation correlated to 'AGE'.
Clinical Features |
Time to Death |
AGE | GENDER | ||
nMutated (%) | nWild-Type | logrank test | t-test | Fisher's exact test | |
DNMT3A | 50 (25%) | 149 |
0.000611 (0.0795) |
0.0569 (1.00) |
0.192 (1.00) |
IDH2 | 20 (10%) | 179 |
0.629 (1.00) |
2.17e-05 (0.00287) |
0.814 (1.00) |
TP53 | 11 (6%) | 188 |
7.67e-06 (0.00102) |
0.00316 (0.404) |
0.233 (1.00) |
ZAN | 6 (3%) | 193 |
0.263 (1.00) |
0.00108 (0.139) |
0.0951 (1.00) |
FLJ43860 | 3 (2%) | 196 |
0.000592 (0.0775) |
0.756 (1.00) |
0.252 (1.00) |
NINL | 3 (2%) | 196 |
0.811 (1.00) |
9.99e-09 (1.34e-06) |
1 (1.00) |
IDH1 | 20 (10%) | 179 |
0.932 (1.00) |
0.331 (1.00) |
0.479 (1.00) |
U2AF1 | 10 (5%) | 189 |
0.459 (1.00) |
0.00364 (0.462) |
0.0228 (1.00) |
KRAS | 9 (5%) | 190 |
0.587 (1.00) |
0.453 (1.00) |
0.306 (1.00) |
TET2 | 15 (8%) | 184 |
0.865 (1.00) |
0.175 (1.00) |
0.289 (1.00) |
FLT3 | 52 (26%) | 147 |
0.206 (1.00) |
0.352 (1.00) |
0.519 (1.00) |
NPM1 | 47 (24%) | 152 |
0.222 (1.00) |
0.967 (1.00) |
0.136 (1.00) |
NRAS | 18 (9%) | 181 |
0.875 (1.00) |
0.531 (1.00) |
0.625 (1.00) |
OR5H6 | 4 (2%) | 195 |
0.0986 (1.00) |
0.334 (1.00) |
|
RUNX1 | 17 (9%) | 182 |
0.233 (1.00) |
0.108 (1.00) |
0.802 (1.00) |
WT1 | 13 (7%) | 186 |
0.672 (1.00) |
0.0301 (1.00) |
1 (1.00) |
KIT | 7 (4%) | 192 |
0.901 (1.00) |
0.49 (1.00) |
0.705 (1.00) |
PHF6 | 6 (3%) | 193 |
0.873 (1.00) |
0.232 (1.00) |
0.0323 (1.00) |
AP3S1 | 3 (2%) | 196 |
0.74 (1.00) |
0.537 (1.00) |
0.594 (1.00) |
SCRN3 | 3 (2%) | 196 |
0.0541 (1.00) |
0.594 (1.00) |
|
MPRIP | 3 (2%) | 196 |
0.65 (1.00) |
1 (1.00) |
|
CYP21A2 | 4 (2%) | 195 |
0.0181 (1.00) |
0.556 (1.00) |
1 (1.00) |
PTPN11 | 7 (4%) | 192 |
0.37 (1.00) |
0.673 (1.00) |
1 (1.00) |
ETV6 | 5 (3%) | 194 |
0.472 (1.00) |
0.276 (1.00) |
0.378 (1.00) |
NFKBIZ | 3 (2%) | 196 |
0.0353 (1.00) |
0.0939 (1.00) |
|
LILRA3 | 3 (2%) | 196 |
0.875 (1.00) |
0.594 (1.00) |
|
C17ORF97 | 5 (3%) | 194 |
0.629 (1.00) |
0.406 (1.00) |
0.378 (1.00) |
MUC4 | 7 (4%) | 192 |
0.149 (1.00) |
0.497 (1.00) |
1 (1.00) |
SMC3 | 6 (3%) | 193 |
0.177 (1.00) |
0.589 (1.00) |
0.415 (1.00) |
NOTCH2NL | 3 (2%) | 196 |
0.804 (1.00) |
0.252 (1.00) |
|
FAM5C | 5 (3%) | 194 |
0.119 (1.00) |
0.045 (1.00) |
0.378 (1.00) |
PRUNE2 | 6 (3%) | 193 |
0.418 (1.00) |
0.0919 (1.00) |
0.00834 (1.00) |
SMC1A | 5 (3%) | 194 |
0.474 (1.00) |
0.0224 (1.00) |
0.378 (1.00) |
ZNF275 | 3 (2%) | 196 |
0.0723 (1.00) |
0.594 (1.00) |
|
C5ORF25 | 3 (2%) | 196 |
0.0889 (1.00) |
0.194 (1.00) |
0.0939 (1.00) |
MAP3K4 | 4 (2%) | 195 |
0.236 (1.00) |
0.138 (1.00) |
0.334 (1.00) |
CSPG4 | 3 (2%) | 196 |
0.179 (1.00) |
0.569 (1.00) |
0.594 (1.00) |
TRIM48 | 3 (2%) | 196 |
0.204 (1.00) |
0.594 (1.00) |
|
ASXL1 | 5 (3%) | 194 |
0.193 (1.00) |
0.0641 (1.00) |
0.662 (1.00) |
CSMD1 | 6 (3%) | 193 |
0.384 (1.00) |
0.499 (1.00) |
1 (1.00) |
CPAMD8 | 3 (2%) | 196 |
0.0723 (1.00) |
0.594 (1.00) |
|
PKD1L2 | 4 (2%) | 195 |
0.00538 (0.678) |
0.851 (1.00) |
1 (1.00) |
STAG2 | 4 (2%) | 195 |
0.396 (1.00) |
0.328 (1.00) |
0.334 (1.00) |
EZH2 | 3 (2%) | 196 |
0.116 (1.00) |
1 (1.00) |
|
OR11H12 | 3 (2%) | 196 |
0.531 (1.00) |
0.376 (1.00) |
0.594 (1.00) |
ANKRD24 | 3 (2%) | 196 |
0.178 (1.00) |
0.757 (1.00) |
1 (1.00) |
CCDC74A | 3 (2%) | 196 |
0.526 (1.00) |
0.349 (1.00) |
0.252 (1.00) |
QRICH2 | 4 (2%) | 195 |
0.609 (1.00) |
0.0273 (1.00) |
1 (1.00) |
P value = 0.000611 (logrank test), Q value = 0.079
nPatients | nDeath | Duration Range (Median), Month | |
---|---|---|---|
ALL | 175 | 110 | 0.9 - 94.1 (12.0) |
DNMT3A MUTATED | 46 | 35 | 0.9 - 37.0 (9.0) |
DNMT3A WILD-TYPE | 129 | 75 | 0.9 - 94.1 (15.0) |
P value = 2.17e-05 (t-test), Q value = 0.0029
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 199 | 55.0 (16.1) |
IDH2 MUTATED | 20 | 64.5 (8.0) |
IDH2 WILD-TYPE | 179 | 54.0 (16.4) |
P value = 7.67e-06 (logrank test), Q value = 0.001
nPatients | nDeath | Duration Range (Median), Month | |
---|---|---|---|
ALL | 175 | 110 | 0.9 - 94.1 (12.0) |
TP53 MUTATED | 10 | 10 | 1.0 - 17.0 (6.0) |
TP53 WILD-TYPE | 165 | 100 | 0.9 - 94.1 (13.0) |
P value = 0.00108 (t-test), Q value = 0.14
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 199 | 55.0 (16.1) |
ZAN MUTATED | 6 | 70.3 (6.7) |
ZAN WILD-TYPE | 193 | 54.5 (16.1) |
P value = 0.000592 (logrank test), Q value = 0.078
nPatients | nDeath | Duration Range (Median), Month | |
---|---|---|---|
ALL | 175 | 110 | 0.9 - 94.1 (12.0) |
FLJ43860 MUTATED | 3 | 3 | 1.0 - 9.0 (2.0) |
FLJ43860 WILD-TYPE | 172 | 107 | 0.9 - 94.1 (12.5) |
P value = 9.99e-09 (t-test), Q value = 1.3e-06
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 199 | 55.0 (16.1) |
NINL MUTATED | 3 | 44.7 (1.2) |
NINL WILD-TYPE | 196 | 55.2 (16.2) |
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Mutation data file = LAML.mutsig.cluster.txt
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Clinical data file = LAML.clin.merged.picked.txt
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Number of patients = 199
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Number of significantly mutated genes = 48
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Number of selected clinical features = 3
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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.