This pipeline computes the correlation between significant arm-level copy number variations (cnvs) and selected clinical features.
Testing the association between copy number variation 71 arm-level results and 8 clinical features across 493 patients, 3 significant findings detected with Q value < 0.25.
-
5p gain cnv correlated to 'AGE'.
-
5q gain cnv correlated to 'AGE'.
-
11p loss cnv correlated to 'Time to Death'.
Clinical Features |
Time to Death |
AGE | GENDER |
KARNOFSKY PERFORMANCE SCORE |
PATHOLOGY T |
PATHOLOGY N |
PATHOLOGICSPREAD(M) |
TUMOR STAGE |
||
nCNV (%) | 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 | |
5p gain | 0 (0%) | 352 |
0.124 (1.00) |
0.000246 (0.132) |
0.116 (1.00) |
0.563 (1.00) |
0.211 (1.00) |
1 (1.00) |
0.783 (1.00) |
0.288 (1.00) |
5q gain | 0 (0%) | 337 |
0.297 (1.00) |
0.00037 (0.198) |
0.156 (1.00) |
0.482 (1.00) |
0.21 (1.00) |
0.615 (1.00) |
0.594 (1.00) |
0.4 (1.00) |
11p loss | 0 (0%) | 488 |
3.9e-05 (0.0209) |
0.943 (1.00) |
0.663 (1.00) |
0.618 (1.00) |
0.141 (1.00) |
0.569 (1.00) |
0.908 (1.00) |
|
1p gain | 0 (0%) | 488 |
0.498 (1.00) |
0.942 (1.00) |
1 (1.00) |
0.405 (1.00) |
0.141 (1.00) |
1 (1.00) |
0.368 (1.00) |
|
1q gain | 0 (0%) | 461 |
0.96 (1.00) |
0.185 (1.00) |
0.565 (1.00) |
0.115 (1.00) |
0.066 (1.00) |
0.33 (1.00) |
0.803 (1.00) |
0.0528 (1.00) |
2p gain | 0 (0%) | 445 |
0.58 (1.00) |
0.14 (1.00) |
0.201 (1.00) |
0.563 (1.00) |
0.758 (1.00) |
1 (1.00) |
0.206 (1.00) |
0.302 (1.00) |
2q gain | 0 (0%) | 444 |
0.411 (1.00) |
0.205 (1.00) |
0.0387 (1.00) |
0.159 (1.00) |
0.871 (1.00) |
0.702 (1.00) |
0.208 (1.00) |
0.383 (1.00) |
3p gain | 0 (0%) | 486 |
0.95 (1.00) |
0.429 (1.00) |
0.243 (1.00) |
0.508 (1.00) |
0.264 (1.00) |
0.295 (1.00) |
0.12 (1.00) |
|
3q gain | 0 (0%) | 466 |
0.575 (1.00) |
0.948 (1.00) |
1 (1.00) |
0.0261 (1.00) |
0.249 (1.00) |
0.359 (1.00) |
0.164 (1.00) |
0.312 (1.00) |
4p gain | 0 (0%) | 485 |
0.235 (1.00) |
0.875 (1.00) |
0.72 (1.00) |
0.327 (1.00) |
0.369 (1.00) |
0.616 (1.00) |
0.0885 (1.00) |
|
4q gain | 0 (0%) | 485 |
0.653 (1.00) |
0.389 (1.00) |
1 (1.00) |
0.561 (1.00) |
0.369 (1.00) |
0.616 (1.00) |
0.223 (1.00) |
|
6p gain | 0 (0%) | 487 |
0.224 (1.00) |
0.236 (1.00) |
1 (1.00) |
0.662 (1.00) |
1 (1.00) |
1 (1.00) |
0.756 (1.00) |
|
6q gain | 0 (0%) | 488 |
0.183 (1.00) |
0.442 (1.00) |
0.663 (1.00) |
0.405 (1.00) |
1 (1.00) |
0.569 (1.00) |
0.368 (1.00) |
|
7p gain | 0 (0%) | 366 |
0.862 (1.00) |
0.314 (1.00) |
0.0846 (1.00) |
0.893 (1.00) |
0.261 (1.00) |
0.599 (1.00) |
0.0451 (1.00) |
0.179 (1.00) |
7q gain | 0 (0%) | 364 |
0.517 (1.00) |
0.38 (1.00) |
0.0673 (1.00) |
0.699 (1.00) |
0.113 (1.00) |
1 (1.00) |
0.00661 (1.00) |
0.0455 (1.00) |
8p gain | 0 (0%) | 479 |
0.574 (1.00) |
0.761 (1.00) |
0.0417 (1.00) |
0.757 (1.00) |
0.00637 (1.00) |
1 (1.00) |
0.462 (1.00) |
0.00287 (1.00) |
8q gain | 0 (0%) | 459 |
0.856 (1.00) |
0.427 (1.00) |
0.192 (1.00) |
0.471 (1.00) |
0.00565 (1.00) |
0.657 (1.00) |
1 (1.00) |
0.00264 (1.00) |
9p gain | 0 (0%) | 485 |
0.123 (1.00) |
0.0377 (1.00) |
0.0232 (1.00) |
0.614 (1.00) |
1 (1.00) |
0.616 (1.00) |
0.378 (1.00) |
|
9q gain | 0 (0%) | 485 |
0.769 (1.00) |
0.97 (1.00) |
0.457 (1.00) |
0.00758 (1.00) |
1 (1.00) |
0.356 (1.00) |
0.111 (1.00) |
|
10p gain | 0 (0%) | 487 |
0.72 (1.00) |
0.511 (1.00) |
0.422 (1.00) |
0.33 (1.00) |
1 (1.00) |
0.233 (1.00) |
0.288 (1.00) |
|
10q gain | 0 (0%) | 489 |
0.511 (1.00) |
0.169 (1.00) |
0.123 (1.00) |
0.646 (1.00) |
1 (1.00) |
0.489 (1.00) |
0.377 (1.00) |
|
11p gain | 0 (0%) | 476 |
0.974 (1.00) |
0.8 (1.00) |
0.608 (1.00) |
0.115 (1.00) |
0.021 (1.00) |
1 (1.00) |
0.16 (1.00) |
0.0198 (1.00) |
11q gain | 0 (0%) | 478 |
0.317 (1.00) |
0.811 (1.00) |
0.409 (1.00) |
0.0709 (1.00) |
1 (1.00) |
0.713 (1.00) |
0.0435 (1.00) |
|
12p gain | 0 (0%) | 415 |
0.111 (1.00) |
0.115 (1.00) |
0.364 (1.00) |
0.404 (1.00) |
0.0448 (1.00) |
1 (1.00) |
0.122 (1.00) |
0.0325 (1.00) |
12q gain | 0 (0%) | 415 |
0.142 (1.00) |
0.167 (1.00) |
0.364 (1.00) |
0.404 (1.00) |
0.0448 (1.00) |
0.748 (1.00) |
0.122 (1.00) |
0.0325 (1.00) |
13q gain | 0 (0%) | 479 |
0.291 (1.00) |
0.851 (1.00) |
0.779 (1.00) |
0.321 (1.00) |
1 (1.00) |
1 (1.00) |
0.24 (1.00) |
|
14q gain | 0 (0%) | 488 |
0.438 (1.00) |
0.524 (1.00) |
1 (1.00) |
0.0216 (1.00) |
1 (1.00) |
0.569 (1.00) |
0.131 (1.00) |
|
15q gain | 0 (0%) | 479 |
0.868 (1.00) |
0.939 (1.00) |
0.779 (1.00) |
0.231 (1.00) |
0.46 (1.00) |
0.462 (1.00) |
0.415 (1.00) |
|
16p gain | 0 (0%) | 428 |
0.611 (1.00) |
0.0654 (1.00) |
0.212 (1.00) |
0.4 (1.00) |
0.804 (1.00) |
0.0837 (1.00) |
0.713 (1.00) |
0.719 (1.00) |
16q gain | 0 (0%) | 435 |
0.487 (1.00) |
0.0864 (1.00) |
0.106 (1.00) |
0.191 (1.00) |
0.649 (1.00) |
0.143 (1.00) |
1 (1.00) |
0.715 (1.00) |
17p gain | 0 (0%) | 477 |
0.456 (1.00) |
0.533 (1.00) |
0.795 (1.00) |
0.279 (1.00) |
0.501 (1.00) |
0.149 (1.00) |
0.149 (1.00) |
|
17q gain | 0 (0%) | 471 |
0.143 (1.00) |
0.539 (1.00) |
0.647 (1.00) |
0.161 (1.00) |
0.327 (1.00) |
0.607 (1.00) |
0.553 (1.00) |
0.439 (1.00) |
18p gain | 0 (0%) | 475 |
0.0884 (1.00) |
0.782 (1.00) |
0.0223 (1.00) |
0.963 (1.00) |
1 (1.00) |
0.333 (1.00) |
0.526 (1.00) |
|
18q gain | 0 (0%) | 475 |
0.0884 (1.00) |
0.782 (1.00) |
0.0223 (1.00) |
0.963 (1.00) |
1 (1.00) |
0.333 (1.00) |
0.526 (1.00) |
|
19p gain | 0 (0%) | 468 |
0.935 (1.00) |
0.703 (1.00) |
1 (1.00) |
0.161 (1.00) |
0.52 (1.00) |
0.301 (1.00) |
0.251 (1.00) |
0.223 (1.00) |
19q gain | 0 (0%) | 465 |
0.884 (1.00) |
0.709 (1.00) |
0.683 (1.00) |
0.161 (1.00) |
0.469 (1.00) |
0.359 (1.00) |
0.174 (1.00) |
0.23 (1.00) |
20p gain | 0 (0%) | 427 |
0.274 (1.00) |
0.268 (1.00) |
0.0127 (1.00) |
0.315 (1.00) |
0.00519 (1.00) |
0.485 (1.00) |
0.0429 (1.00) |
0.0202 (1.00) |
20q gain | 0 (0%) | 425 |
0.428 (1.00) |
0.22 (1.00) |
0.0195 (1.00) |
0.315 (1.00) |
0.0086 (1.00) |
0.485 (1.00) |
0.106 (1.00) |
0.0317 (1.00) |
21q gain | 0 (0%) | 460 |
0.339 (1.00) |
0.324 (1.00) |
0.851 (1.00) |
0.161 (1.00) |
0.508 (1.00) |
1 (1.00) |
1 (1.00) |
0.894 (1.00) |
22q gain | 0 (0%) | 468 |
0.964 (1.00) |
0.83 (1.00) |
0.526 (1.00) |
0.196 (1.00) |
1 (1.00) |
0.251 (1.00) |
0.439 (1.00) |
|
Xq gain | 0 (0%) | 482 |
0.44 (1.00) |
0.723 (1.00) |
0.0546 (1.00) |
0.871 (1.00) |
1 (1.00) |
0.0733 (1.00) |
0.0503 (1.00) |
|
1p loss | 0 (0%) | 461 |
0.877 (1.00) |
0.0984 (1.00) |
0.565 (1.00) |
0.115 (1.00) |
0.0145 (1.00) |
0.607 (1.00) |
0.45 (1.00) |
0.0696 (1.00) |
1q loss | 0 (0%) | 472 |
0.779 (1.00) |
0.599 (1.00) |
0.644 (1.00) |
0.0938 (1.00) |
1 (1.00) |
0.756 (1.00) |
0.263 (1.00) |
|
2p loss | 0 (0%) | 483 |
0.471 (1.00) |
0.932 (1.00) |
0.506 (1.00) |
0.0915 (1.00) |
1 (1.00) |
1 (1.00) |
0.481 (1.00) |
|
2q loss | 0 (0%) | 482 |
0.856 (1.00) |
0.983 (1.00) |
0.344 (1.00) |
0.193 (1.00) |
1 (1.00) |
1 (1.00) |
0.726 (1.00) |
|
3p loss | 0 (0%) | 189 |
0.556 (1.00) |
0.355 (1.00) |
0.0797 (1.00) |
0.906 (1.00) |
0.0168 (1.00) |
0.462 (1.00) |
0.0145 (1.00) |
0.018 (1.00) |
3q loss | 0 (0%) | 420 |
0.948 (1.00) |
0.0175 (1.00) |
0.000815 (0.434) |
0.573 (1.00) |
0.319 (1.00) |
0.702 (1.00) |
0.729 (1.00) |
0.61 (1.00) |
4p loss | 0 (0%) | 458 |
0.0602 (1.00) |
0.558 (1.00) |
0.854 (1.00) |
0.0176 (1.00) |
0.0236 (1.00) |
1 (1.00) |
0.808 (1.00) |
0.118 (1.00) |
4q loss | 0 (0%) | 465 |
0.0183 (1.00) |
0.992 (1.00) |
0.841 (1.00) |
0.0261 (1.00) |
0.00329 (1.00) |
0.607 (1.00) |
0.174 (1.00) |
0.025 (1.00) |
6p loss | 0 (0%) | 435 |
0.235 (1.00) |
0.187 (1.00) |
0.00303 (1.00) |
0.499 (1.00) |
0.757 (1.00) |
0.189 (1.00) |
0.439 (1.00) |
0.797 (1.00) |
6q loss | 0 (0%) | 411 |
0.548 (1.00) |
0.719 (1.00) |
0.127 (1.00) |
0.851 (1.00) |
0.969 (1.00) |
0.0592 (1.00) |
0.868 (1.00) |
0.767 (1.00) |
8p loss | 0 (0%) | 399 |
0.512 (1.00) |
0.0949 (1.00) |
0.281 (1.00) |
0.0817 (1.00) |
0.603 (1.00) |
0.322 (1.00) |
0.429 (1.00) |
0.514 (1.00) |
8q loss | 0 (0%) | 456 |
0.279 (1.00) |
0.915 (1.00) |
0.0469 (1.00) |
0.00419 (1.00) |
1 (1.00) |
0.608 (1.00) |
0.244 (1.00) |
0.858 (1.00) |
9p loss | 0 (0%) | 406 |
0.0111 (1.00) |
0.0624 (1.00) |
0.0128 (1.00) |
0.0261 (1.00) |
0.185 (1.00) |
0.745 (1.00) |
0.0209 (1.00) |
0.0902 (1.00) |
9q loss | 0 (0%) | 401 |
0.00542 (1.00) |
0.034 (1.00) |
0.0155 (1.00) |
0.0473 (1.00) |
0.0165 (1.00) |
1 (1.00) |
0.0035 (1.00) |
0.00434 (1.00) |
10p loss | 0 (0%) | 461 |
0.507 (1.00) |
0.49 (1.00) |
0.565 (1.00) |
0.0261 (1.00) |
0.0141 (1.00) |
1 (1.00) |
0.803 (1.00) |
0.866 (1.00) |
10q loss | 0 (0%) | 445 |
0.742 (1.00) |
0.258 (1.00) |
0.268 (1.00) |
0.0535 (1.00) |
0.00839 (1.00) |
0.621 (1.00) |
0.677 (1.00) |
0.618 (1.00) |
11q loss | 0 (0%) | 486 |
0.148 (1.00) |
0.638 (1.00) |
0.43 (1.00) |
0.799 (1.00) |
0.264 (1.00) |
1 (1.00) |
1 (1.00) |
|
13q loss | 0 (0%) | 462 |
0.0012 (0.639) |
0.0513 (1.00) |
0.334 (1.00) |
0.00419 (1.00) |
0.00133 (0.707) |
1 (1.00) |
0.0394 (1.00) |
0.0118 (1.00) |
14q loss | 0 (0%) | 335 |
0.251 (1.00) |
0.203 (1.00) |
0.265 (1.00) |
0.508 (1.00) |
0.0194 (1.00) |
0.0682 (1.00) |
0.142 (1.00) |
0.0235 (1.00) |
15q loss | 0 (0%) | 481 |
0.257 (1.00) |
0.13 (1.00) |
1 (1.00) |
0.282 (1.00) |
0.417 (1.00) |
0.408 (1.00) |
0.266 (1.00) |
|
16q loss | 0 (0%) | 488 |
0.0864 (1.00) |
0.0696 (1.00) |
0.663 (1.00) |
0.00635 (1.00) |
1 (1.00) |
0.569 (1.00) |
0.0726 (1.00) |
|
17p loss | 0 (0%) | 468 |
0.0387 (1.00) |
0.658 (1.00) |
0.288 (1.00) |
0.0473 (1.00) |
0.131 (1.00) |
1 (1.00) |
0.0396 (1.00) |
0.223 (1.00) |
17q loss | 0 (0%) | 481 |
0.697 (1.00) |
0.831 (1.00) |
0.232 (1.00) |
0.0534 (1.00) |
1 (1.00) |
1 (1.00) |
0.47 (1.00) |
|
18p loss | 0 (0%) | 447 |
0.317 (1.00) |
0.106 (1.00) |
0.626 (1.00) |
0.518 (1.00) |
0.102 (1.00) |
0.691 (1.00) |
0.204 (1.00) |
0.36 (1.00) |
18q loss | 0 (0%) | 445 |
0.699 (1.00) |
0.22 (1.00) |
0.268 (1.00) |
0.518 (1.00) |
0.432 (1.00) |
0.702 (1.00) |
0.292 (1.00) |
0.692 (1.00) |
19p loss | 0 (0%) | 489 |
0.000514 (0.274) |
0.89 (1.00) |
0.612 (1.00) |
0.014 (1.00) |
1 (1.00) |
1 (1.00) |
0.0681 (1.00) |
|
20p loss | 0 (0%) | 487 |
0.751 (1.00) |
0.967 (1.00) |
1 (1.00) |
0.881 (1.00) |
1 (1.00) |
1 (1.00) |
0.931 (1.00) |
|
21q loss | 0 (0%) | 461 |
0.779 (1.00) |
0.944 (1.00) |
1 (1.00) |
0.00608 (1.00) |
0.359 (1.00) |
0.45 (1.00) |
0.181 (1.00) |
|
22q loss | 0 (0%) | 482 |
0.228 (1.00) |
0.0446 (1.00) |
0.344 (1.00) |
0.272 (1.00) |
1 (1.00) |
1 (1.00) |
0.191 (1.00) |
|
Xq loss | 0 (0%) | 486 |
0.507 (1.00) |
0.749 (1.00) |
0.102 (1.00) |
0.63 (1.00) |
1 (1.00) |
0.602 (1.00) |
0.574 (1.00) |
P value = 0.000246 (t-test), Q value = 0.13
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 492 | 60.6 (12.2) |
5P GAIN CNV | 141 | 63.7 (12.0) |
5P GAIN WILD-TYPE | 351 | 59.3 (12.1) |
P value = 0.00037 (t-test), Q value = 0.2
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 492 | 60.6 (12.2) |
5Q GAIN CNV | 155 | 63.5 (12.3) |
5Q GAIN WILD-TYPE | 337 | 59.2 (11.9) |
P value = 3.9e-05 (logrank test), Q value = 0.021
nPatients | nDeath | Duration Range (Median), Month | |
---|---|---|---|
ALL | 490 | 158 | 0.1 - 111.0 (35.2) |
11P LOSS CNV | 5 | 4 | 1.8 - 28.5 (12.1) |
11P LOSS WILD-TYPE | 485 | 154 | 0.1 - 111.0 (35.5) |
-
Mutation data file = broad_values_by_arm.mutsig.cluster.txt
-
Clinical data file = KIRC-TP.clin.merged.picked.txt
-
Number of patients = 493
-
Number of significantly arm-level cnvs = 71
-
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 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.