This pipeline computes the correlation between significant arm-level copy number variations (cnvs) and selected clinical features.
Testing the association between copy number variation 66 arm-level events and 10 clinical features across 36 patients, no significant finding detected with Q value < 0.25.
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No arm-level cnvs related to clinical features.
Clinical Features |
Time to Death |
YEARS TO BIRTH |
PATHOLOGIC STAGE |
PATHOLOGY T STAGE |
PATHOLOGY N STAGE |
PATHOLOGY M STAGE |
GENDER |
HISTOLOGICAL TYPE |
RESIDUAL TUMOR |
RACE | ||
nCNV (%) | nWild-Type | logrank test | Wilcoxon-test | Fisher's exact test | Fisher's exact test | Fisher's exact test | Fisher's exact test | Fisher's exact test | Fisher's exact test | Fisher's exact test | Fisher's exact test | |
1p gain | 10 (28%) | 26 |
0.748 (1.00) |
0.596 (1.00) |
0.787 (1.00) |
0.343 (1.00) |
0.286 (1.00) |
0.291 (1.00) |
0.285 (1.00) |
0.455 (1.00) |
0.215 (1.00) |
0.763 (1.00) |
1q gain | 21 (58%) | 15 |
0.785 (1.00) |
0.413 (1.00) |
0.198 (1.00) |
0.336 (1.00) |
0.368 (1.00) |
0.36 (1.00) |
0.741 (1.00) |
0.207 (1.00) |
0.607 (1.00) |
0.777 (1.00) |
2p gain | 6 (17%) | 30 |
0.582 (1.00) |
0.432 (1.00) |
0.927 (1.00) |
0.585 (1.00) |
1 (1.00) |
1 (1.00) |
0.672 (1.00) |
0.698 (1.00) |
0.399 (1.00) |
0.187 (1.00) |
2q gain | 6 (17%) | 30 |
0.501 (1.00) |
0.51 (1.00) |
0.505 (1.00) |
0.475 (1.00) |
0.173 (1.00) |
1 (1.00) |
0.672 (1.00) |
0.693 (1.00) |
0.556 (1.00) |
0.184 (1.00) |
3p gain | 3 (8%) | 33 |
0.478 (1.00) |
0.277 (1.00) |
0.551 (1.00) |
0.24 (1.00) |
0.422 (1.00) |
0.4 (1.00) |
0.574 (1.00) |
0.186 (1.00) |
1 (1.00) |
0.37 (1.00) |
3q gain | 8 (22%) | 28 |
0.325 (1.00) |
0.159 (1.00) |
0.529 (1.00) |
1 (1.00) |
0.583 (1.00) |
0.574 (1.00) |
0.103 (1.00) |
0.128 (1.00) |
0.127 (1.00) |
0.16 (1.00) |
4p gain | 3 (8%) | 33 |
0.0435 (1.00) |
0.0758 (1.00) |
0.137 (1.00) |
0.124 (1.00) |
0.422 (1.00) |
0.4 (1.00) |
1 (1.00) |
0.188 (1.00) |
0.277 (1.00) |
0.368 (1.00) |
5p gain | 12 (33%) | 24 |
0.961 (1.00) |
0.775 (1.00) |
0.606 (1.00) |
0.705 (1.00) |
1 (1.00) |
0.63 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.23 (1.00) |
5q gain | 12 (33%) | 24 |
0.961 (1.00) |
0.775 (1.00) |
0.605 (1.00) |
0.706 (1.00) |
1 (1.00) |
0.63 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.228 (1.00) |
6p gain | 7 (19%) | 29 |
0.0851 (1.00) |
0.764 (1.00) |
1 (1.00) |
0.717 (1.00) |
1 (1.00) |
1 (1.00) |
0.0298 (1.00) |
1 (1.00) |
0.13 (1.00) |
0.422 (1.00) |
7p gain | 7 (19%) | 29 |
0.276 (1.00) |
0.81 (1.00) |
0.161 (1.00) |
0.524 (1.00) |
0.241 (1.00) |
0.282 (1.00) |
1 (1.00) |
0.0892 (1.00) |
0.774 (1.00) |
0.419 (1.00) |
7q gain | 6 (17%) | 30 |
0.44 (1.00) |
0.718 (1.00) |
0.177 (1.00) |
0.706 (1.00) |
0.173 (1.00) |
0.216 (1.00) |
1 (1.00) |
0.0598 (1.00) |
0.553 (1.00) |
0.363 (1.00) |
8p gain | 6 (17%) | 30 |
0.443 (1.00) |
0.581 (1.00) |
0.256 (1.00) |
0.475 (1.00) |
0.241 (1.00) |
0.216 (1.00) |
0.374 (1.00) |
0.143 (1.00) |
0.554 (1.00) |
0.623 (1.00) |
8q gain | 12 (33%) | 24 |
0.349 (1.00) |
0.392 (1.00) |
0.749 (1.00) |
0.894 (1.00) |
1 (1.00) |
1 (1.00) |
0.298 (1.00) |
0.634 (1.00) |
0.835 (1.00) |
0.231 (1.00) |
10p gain | 5 (14%) | 31 |
0.875 (1.00) |
0.945 (1.00) |
0.746 (1.00) |
0.678 (1.00) |
1 (1.00) |
1 (1.00) |
0.149 (1.00) |
1 (1.00) |
1 (1.00) |
0.55 (1.00) |
11p gain | 4 (11%) | 32 |
0.112 (1.00) |
0.743 (1.00) |
0.13 (1.00) |
0.61 (1.00) |
0.0601 (1.00) |
0.0993 (1.00) |
1 (1.00) |
0.12 (1.00) |
0.374 (1.00) |
0.0849 (1.00) |
11q gain | 4 (11%) | 32 |
0.112 (1.00) |
0.743 (1.00) |
0.127 (1.00) |
0.611 (1.00) |
0.0601 (1.00) |
0.0993 (1.00) |
1 (1.00) |
0.122 (1.00) |
0.377 (1.00) |
0.0836 (1.00) |
12p gain | 9 (25%) | 27 |
0.023 (1.00) |
0.798 (1.00) |
1 (1.00) |
0.43 (1.00) |
1 (1.00) |
1 (1.00) |
0.146 (1.00) |
1 (1.00) |
0.522 (1.00) |
0.0177 (1.00) |
12q gain | 8 (22%) | 28 |
0.087 (1.00) |
0.805 (1.00) |
0.958 (1.00) |
0.733 (1.00) |
0.291 (1.00) |
0.302 (1.00) |
0.422 (1.00) |
0.731 (1.00) |
0.614 (1.00) |
0.011 (1.00) |
13q gain | 3 (8%) | 33 |
0.952 (1.00) |
0.457 (1.00) |
0.0796 (1.00) |
0.538 (1.00) |
0.0601 (1.00) |
0.0532 (1.00) |
1 (1.00) |
0.0028 (1.00) |
0.276 (1.00) |
1 (1.00) |
15q gain | 6 (17%) | 30 |
0.569 (1.00) |
0.687 (1.00) |
0.317 (1.00) |
0.835 (1.00) |
0.173 (1.00) |
1 (1.00) |
1 (1.00) |
0.143 (1.00) |
0.556 (1.00) |
0.362 (1.00) |
16p gain | 7 (19%) | 29 |
0.444 (1.00) |
0.208 (1.00) |
0.698 (1.00) |
0.444 (1.00) |
0.562 (1.00) |
1 (1.00) |
0.426 (1.00) |
0.328 (1.00) |
1 (1.00) |
0.683 (1.00) |
16q gain | 5 (14%) | 31 |
0.213 (1.00) |
0.423 (1.00) |
0.813 (1.00) |
0.83 (1.00) |
1 (1.00) |
1 (1.00) |
0.355 (1.00) |
0.186 (1.00) |
0.73 (1.00) |
0.547 (1.00) |
17p gain | 3 (8%) | 33 |
0.0222 (1.00) |
0.797 (1.00) |
0.553 (1.00) |
0.713 (1.00) |
0.301 (1.00) |
0.4 (1.00) |
1 (1.00) |
0.43 (1.00) |
0.278 (1.00) |
0.0438 (1.00) |
17q gain | 7 (19%) | 29 |
0.00835 (1.00) |
0.873 (1.00) |
0.86 (1.00) |
0.616 (1.00) |
1 (1.00) |
1 (1.00) |
0.204 (1.00) |
1 (1.00) |
0.774 (1.00) |
0.0604 (1.00) |
18p gain | 7 (19%) | 29 |
0.732 (1.00) |
0.119 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.426 (1.00) |
0.33 (1.00) |
0.6 (1.00) |
0.683 (1.00) |
18q gain | 6 (17%) | 30 |
0.685 (1.00) |
0.226 (1.00) |
0.928 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.747 (1.00) |
0.619 (1.00) |
19p gain | 6 (17%) | 30 |
0.689 (1.00) |
0.396 (1.00) |
0.313 (1.00) |
0.703 (1.00) |
0.173 (1.00) |
1 (1.00) |
1 (1.00) |
0.404 (1.00) |
0.746 (1.00) |
0.36 (1.00) |
19q gain | 6 (17%) | 30 |
0.689 (1.00) |
0.396 (1.00) |
0.314 (1.00) |
0.706 (1.00) |
0.173 (1.00) |
1 (1.00) |
1 (1.00) |
0.405 (1.00) |
0.747 (1.00) |
0.361 (1.00) |
20p gain | 11 (31%) | 25 |
0.384 (1.00) |
0.0304 (1.00) |
0.581 (1.00) |
0.694 (1.00) |
1 (1.00) |
1 (1.00) |
0.0335 (1.00) |
1 (1.00) |
0.371 (1.00) |
0.189 (1.00) |
20q gain | 12 (33%) | 24 |
0.627 (1.00) |
0.0156 (1.00) |
0.504 (1.00) |
0.546 (1.00) |
1 (1.00) |
1 (1.00) |
0.0815 (1.00) |
0.637 (1.00) |
0.199 (1.00) |
0.231 (1.00) |
21q gain | 3 (8%) | 33 |
0.373 (1.00) |
0.731 (1.00) |
0.411 (1.00) |
0.243 (1.00) |
0.422 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.543 (1.00) |
1 (1.00) |
22q gain | 5 (14%) | 31 |
0.196 (1.00) |
0.252 (1.00) |
0.15 (1.00) |
0.83 (1.00) |
0.173 (1.00) |
0.155 (1.00) |
0.637 (1.00) |
0.187 (1.00) |
0.472 (1.00) |
1 (1.00) |
1p loss | 4 (11%) | 32 |
0.608 (1.00) |
1 (1.00) |
0.13 (1.00) |
0.436 (1.00) |
0.112 (1.00) |
0.0532 (1.00) |
1 (1.00) |
0.532 (1.00) |
0.377 (1.00) |
0.467 (1.00) |
3p loss | 22 (61%) | 14 |
0.801 (1.00) |
0.346 (1.00) |
0.0596 (1.00) |
0.116 (1.00) |
0.06 (1.00) |
0.36 (1.00) |
0.307 (1.00) |
0.253 (1.00) |
0.338 (1.00) |
1 (1.00) |
3q loss | 3 (8%) | 33 |
0.285 (1.00) |
0.886 (1.00) |
0.65 (1.00) |
0.714 (1.00) |
1 (1.00) |
1 (1.00) |
0.238 (1.00) |
1 (1.00) |
1 (1.00) |
0.0451 (1.00) |
4p loss | 10 (28%) | 26 |
0.867 (1.00) |
0.888 (1.00) |
0.499 (1.00) |
0.145 (1.00) |
1 (1.00) |
1 (1.00) |
0.0732 (1.00) |
1 (1.00) |
1 (1.00) |
0.148 (1.00) |
4q loss | 13 (36%) | 23 |
0.96 (1.00) |
0.692 (1.00) |
0.96 (1.00) |
0.242 (1.00) |
1 (1.00) |
0.63 (1.00) |
0.493 (1.00) |
0.656 (1.00) |
0.599 (1.00) |
1 (1.00) |
6p loss | 5 (14%) | 31 |
0.844 (1.00) |
0.731 (1.00) |
0.503 (1.00) |
0.11 (1.00) |
0.56 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.727 (1.00) |
1 (1.00) |
6q loss | 20 (56%) | 16 |
0.496 (1.00) |
0.339 (1.00) |
0.895 (1.00) |
0.806 (1.00) |
0.636 (1.00) |
0.639 (1.00) |
0.091 (1.00) |
0.525 (1.00) |
0.847 (1.00) |
0.783 (1.00) |
7p loss | 4 (11%) | 32 |
0.0272 (1.00) |
0.597 (1.00) |
0.297 (1.00) |
0.435 (1.00) |
0.422 (1.00) |
1 (1.00) |
0.613 (1.00) |
1 (1.00) |
0.655 (1.00) |
0.464 (1.00) |
7q loss | 4 (11%) | 32 |
0.227 (1.00) |
0.821 (1.00) |
0.35 (1.00) |
0.249 (1.00) |
1 (1.00) |
1 (1.00) |
0.613 (1.00) |
1 (1.00) |
0.653 (1.00) |
0.465 (1.00) |
8p loss | 10 (28%) | 26 |
0.379 (1.00) |
0.536 (1.00) |
0.195 (1.00) |
0.0286 (1.00) |
0.291 (1.00) |
0.29 (1.00) |
0.285 (1.00) |
0.454 (1.00) |
0.421 (1.00) |
0.763 (1.00) |
8q loss | 3 (8%) | 33 |
0.536 (1.00) |
0.529 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.278 (1.00) |
1 (1.00) |
9p loss | 18 (50%) | 18 |
0.99 (1.00) |
0.0515 (1.00) |
0.107 (1.00) |
0.356 (1.00) |
0.654 (1.00) |
0.0184 (1.00) |
0.315 (1.00) |
0.21 (1.00) |
1 (1.00) |
0.229 (1.00) |
9q loss | 19 (53%) | 17 |
0.987 (1.00) |
0.0493 (1.00) |
0.39 (1.00) |
0.244 (1.00) |
0.172 (1.00) |
0.152 (1.00) |
1 (1.00) |
0.432 (1.00) |
0.495 (1.00) |
0.228 (1.00) |
10p loss | 6 (17%) | 30 |
0.972 (1.00) |
0.983 (1.00) |
0.18 (1.00) |
0.706 (1.00) |
0.173 (1.00) |
0.216 (1.00) |
1 (1.00) |
0.0597 (1.00) |
0.555 (1.00) |
0.36 (1.00) |
10q loss | 5 (14%) | 31 |
0.641 (1.00) |
1 (1.00) |
0.813 (1.00) |
0.83 (1.00) |
0.525 (1.00) |
1 (1.00) |
0.637 (1.00) |
0.333 (1.00) |
1 (1.00) |
1 (1.00) |
11p loss | 8 (22%) | 28 |
0.261 (1.00) |
0.985 (1.00) |
0.728 (1.00) |
0.413 (1.00) |
0.553 (1.00) |
1 (1.00) |
0.422 (1.00) |
1 (1.00) |
0.276 (1.00) |
1 (1.00) |
11q loss | 9 (25%) | 27 |
0.153 (1.00) |
0.715 (1.00) |
0.862 (1.00) |
0.43 (1.00) |
0.562 (1.00) |
1 (1.00) |
0.146 (1.00) |
1 (1.00) |
0.52 (1.00) |
1 (1.00) |
12q loss | 3 (8%) | 33 |
0.363 (1.00) |
0.954 (1.00) |
0.0805 (1.00) |
0.536 (1.00) |
0.0601 (1.00) |
0.0532 (1.00) |
1 (1.00) |
0.066 (1.00) |
0.276 (1.00) |
1 (1.00) |
13q loss | 15 (42%) | 21 |
0.449 (1.00) |
0.712 (1.00) |
0.495 (1.00) |
0.415 (1.00) |
0.368 (1.00) |
0.131 (1.00) |
0.741 (1.00) |
0.093 (1.00) |
1 (1.00) |
0.627 (1.00) |
14q loss | 13 (36%) | 23 |
0.938 (1.00) |
0.961 (1.00) |
0.508 (1.00) |
0.799 (1.00) |
0.147 (1.00) |
0.63 (1.00) |
0.731 (1.00) |
0.654 (1.00) |
1 (1.00) |
1 (1.00) |
15q loss | 5 (14%) | 31 |
0.212 (1.00) |
0.537 (1.00) |
0.501 (1.00) |
0.193 (1.00) |
0.525 (1.00) |
0.5 (1.00) |
0.637 (1.00) |
0.332 (1.00) |
0.729 (1.00) |
1 (1.00) |
16p loss | 4 (11%) | 32 |
0.311 (1.00) |
0.84 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.303 (1.00) |
1 (1.00) |
0.651 (1.00) |
0.467 (1.00) |
16q loss | 7 (19%) | 29 |
0.909 (1.00) |
0.889 (1.00) |
0.825 (1.00) |
1 (1.00) |
1 (1.00) |
0.559 (1.00) |
1 (1.00) |
0.715 (1.00) |
0.0569 (1.00) |
0.685 (1.00) |
17p loss | 10 (28%) | 26 |
0.244 (1.00) |
0.958 (1.00) |
0.881 (1.00) |
0.524 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.774 (1.00) |
0.542 (1.00) |
0.241 (1.00) |
18p loss | 6 (17%) | 30 |
0.585 (1.00) |
0.47 (1.00) |
0.929 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.374 (1.00) |
1 (1.00) |
1 (1.00) |
0.0893 (1.00) |
18q loss | 8 (22%) | 28 |
0.534 (1.00) |
0.849 (1.00) |
0.958 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.537 (1.00) |
1 (1.00) |
0.159 (1.00) |
19p loss | 4 (11%) | 32 |
0.505 (1.00) |
0.94 (1.00) |
0.497 (1.00) |
1 (1.00) |
0.525 (1.00) |
0.5 (1.00) |
1 (1.00) |
0.0621 (1.00) |
0.377 (1.00) |
1 (1.00) |
19q loss | 3 (8%) | 33 |
0.436 (1.00) |
0.567 (1.00) |
0.785 (1.00) |
0.375 (1.00) |
1 (1.00) |
1 (1.00) |
0.574 (1.00) |
0.431 (1.00) |
1 (1.00) |
1 (1.00) |
20p loss | 5 (14%) | 31 |
0.422 (1.00) |
0.537 (1.00) |
0.815 (1.00) |
0.829 (1.00) |
1 (1.00) |
0.5 (1.00) |
1 (1.00) |
0.187 (1.00) |
1 (1.00) |
0.548 (1.00) |
21q loss | 15 (42%) | 21 |
0.403 (1.00) |
0.199 (1.00) |
0.603 (1.00) |
0.414 (1.00) |
0.368 (1.00) |
0.625 (1.00) |
1 (1.00) |
0.813 (1.00) |
0.835 (1.00) |
0.778 (1.00) |
22q loss | 5 (14%) | 31 |
0.22 (1.00) |
1 (1.00) |
0.502 (1.00) |
0.108 (1.00) |
1 (1.00) |
1 (1.00) |
0.355 (1.00) |
0.621 (1.00) |
0.729 (1.00) |
0.299 (1.00) |
xp loss | 15 (42%) | 21 |
0.946 (1.00) |
0.885 (1.00) |
0.23 (1.00) |
0.588 (1.00) |
0.128 (1.00) |
1 (1.00) |
0.32 (1.00) |
0.642 (1.00) |
0.836 (1.00) |
0.199 (1.00) |
xq loss | 15 (42%) | 21 |
0.946 (1.00) |
0.885 (1.00) |
0.227 (1.00) |
0.589 (1.00) |
0.128 (1.00) |
1 (1.00) |
0.32 (1.00) |
0.642 (1.00) |
0.833 (1.00) |
0.201 (1.00) |
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Copy number data file = broad_values_by_arm.txt from GISTIC pipeline
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Processed Copy number data file = /xchip/cga/gdac-prod/tcga-gdac/jobResults/GDAC_Correlate_Genomic_Events_Preprocess/CHOL-TP/19780560/transformed.cor.cli.txt
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Clinical data file = /xchip/cga/gdac-prod/tcga-gdac/jobResults/Append_Data/CHOL-TP/19775070/CHOL-TP.merged_data.txt
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Number of patients = 36
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Number of significantly arm-level cnvs = 66
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Number of selected clinical features = 10
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Exclude regions 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 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.
In addition to the links below, the full results of the analysis summarized in this report can also be downloaded programmatically using firehose_get, or interactively from either the Broad GDAC website or TCGA Data Coordination Center Portal.