This pipeline computes the correlation between significant arm-level copy number variations (cnvs) and selected clinical features.
Testing the association between copy number variation 77 arm-level events and 12 clinical features across 132 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 |
AGE |
NEOPLASM DISEASESTAGE |
PATHOLOGY T STAGE |
PATHOLOGY N STAGE |
PATHOLOGY M STAGE |
GENDER |
HISTOLOGICAL TYPE |
NUMBERPACKYEARSSMOKED |
COMPLETENESS OF RESECTION |
NUMBER OF LYMPH NODES |
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 | Wilcoxon-test | Fisher's exact test | Wilcoxon-test | Fisher's exact test | |
1p gain | 14 (11%) | 118 |
0.724 (1.00) |
0.532 (1.00) |
0.687 (1.00) |
1 (1.00) |
1 (1.00) |
0.323 (1.00) |
1 (1.00) |
0.0826 (1.00) |
0.212 (1.00) |
0.871 (1.00) |
0.979 (1.00) |
1 (1.00) |
1q gain | 36 (27%) | 96 |
0.181 (1.00) |
0.72 (1.00) |
0.223 (1.00) |
0.759 (1.00) |
0.115 (1.00) |
0.409 (1.00) |
0.116 (1.00) |
0.454 (1.00) |
0.82 (1.00) |
0.588 (1.00) |
0.446 (1.00) |
0.825 (1.00) |
2p gain | 9 (7%) | 123 |
0.462 (1.00) |
0.429 (1.00) |
0.894 (1.00) |
0.597 (1.00) |
1 (1.00) |
0.112 (1.00) |
0.181 (1.00) |
0.718 (1.00) |
0.738 (1.00) |
1 (1.00) |
0.484 (1.00) |
1 (1.00) |
2q gain | 11 (8%) | 121 |
0.408 (1.00) |
0.921 (1.00) |
0.797 (1.00) |
0.613 (1.00) |
0.721 (1.00) |
0.201 (1.00) |
0.0663 (1.00) |
1 (1.00) |
0.345 (1.00) |
1 (1.00) |
0.98 (1.00) |
1 (1.00) |
3p gain | 7 (5%) | 125 |
0.923 (1.00) |
0.76 (1.00) |
0.102 (1.00) |
0.181 (1.00) |
0.0538 (1.00) |
0.389 (1.00) |
0.126 (1.00) |
1 (1.00) |
1 (1.00) |
0.452 (1.00) |
1 (1.00) |
|
3q gain | 13 (10%) | 119 |
0.953 (1.00) |
0.994 (1.00) |
0.332 (1.00) |
0.643 (1.00) |
0.187 (1.00) |
0.37 (1.00) |
0.381 (1.00) |
1 (1.00) |
0.633 (1.00) |
0.343 (1.00) |
1 (1.00) |
|
4p gain | 6 (5%) | 126 |
0.62 (1.00) |
0.658 (1.00) |
0.424 (1.00) |
1 (1.00) |
0.627 (1.00) |
0.183 (1.00) |
0.41 (1.00) |
0.0836 (1.00) |
0.738 (1.00) |
0.27 (1.00) |
1 (1.00) |
|
4q gain | 3 (2%) | 129 |
0.785 (1.00) |
0.189 (1.00) |
0.226 (1.00) |
1 (1.00) |
0.558 (1.00) |
0.0172 (1.00) |
0.591 (1.00) |
1 (1.00) |
1 (1.00) |
0.969 (1.00) |
1 (1.00) |
|
5p gain | 17 (13%) | 115 |
0.944 (1.00) |
0.12 (1.00) |
0.906 (1.00) |
1 (1.00) |
0.549 (1.00) |
1 (1.00) |
0.44 (1.00) |
0.236 (1.00) |
0.571 (1.00) |
0.464 (1.00) |
0.903 (1.00) |
0.669 (1.00) |
5q gain | 11 (8%) | 121 |
0.711 (1.00) |
0.111 (1.00) |
0.694 (1.00) |
0.363 (1.00) |
0.288 (1.00) |
0.665 (1.00) |
1 (1.00) |
0.747 (1.00) |
0.401 (1.00) |
0.69 (1.00) |
0.91 (1.00) |
0.489 (1.00) |
6p gain | 4 (3%) | 128 |
0.66 (1.00) |
0.502 (1.00) |
0.481 (1.00) |
1 (1.00) |
0.238 (1.00) |
0.388 (1.00) |
0.626 (1.00) |
0.193 (1.00) |
0.668 (1.00) |
0.865 (1.00) |
0.23 (1.00) |
|
6q gain | 3 (2%) | 129 |
0.258 (1.00) |
0.632 (1.00) |
1 (1.00) |
0.558 (1.00) |
0.609 (1.00) |
1 (1.00) |
1 (1.00) |
0.357 (1.00) |
0.575 (1.00) |
0.178 (1.00) |
||
7p gain | 37 (28%) | 95 |
0.615 (1.00) |
0.698 (1.00) |
0.461 (1.00) |
0.0661 (1.00) |
1 (1.00) |
1 (1.00) |
0.332 (1.00) |
0.366 (1.00) |
0.128 (1.00) |
0.0981 (1.00) |
0.529 (1.00) |
0.234 (1.00) |
7q gain | 34 (26%) | 98 |
0.775 (1.00) |
0.789 (1.00) |
0.617 (1.00) |
0.114 (1.00) |
0.815 (1.00) |
0.931 (1.00) |
0.424 (1.00) |
0.431 (1.00) |
0.3 (1.00) |
0.0739 (1.00) |
0.234 (1.00) |
0.143 (1.00) |
8p gain | 17 (13%) | 115 |
0.932 (1.00) |
0.788 (1.00) |
0.671 (1.00) |
0.692 (1.00) |
0.549 (1.00) |
1 (1.00) |
0.797 (1.00) |
0.848 (1.00) |
0.63 (1.00) |
0.234 (1.00) |
0.939 (1.00) |
1 (1.00) |
8q gain | 31 (23%) | 101 |
0.533 (1.00) |
0.521 (1.00) |
0.971 (1.00) |
0.751 (1.00) |
0.471 (1.00) |
0.5 (1.00) |
0.223 (1.00) |
0.342 (1.00) |
1 (1.00) |
0.265 (1.00) |
0.663 (1.00) |
0.466 (1.00) |
9p gain | 4 (3%) | 128 |
0.083 (1.00) |
0.484 (1.00) |
1 (1.00) |
0.238 (1.00) |
0.238 (1.00) |
1 (1.00) |
0.0425 (1.00) |
0.665 (1.00) |
0.294 (1.00) |
1 (1.00) |
||
9q gain | 5 (4%) | 127 |
0.25 (1.00) |
0.239 (1.00) |
1 (1.00) |
0.0859 (1.00) |
0.485 (1.00) |
1 (1.00) |
1 (1.00) |
0.465 (1.00) |
0.193 (1.00) |
1 (1.00) |
||
10p gain | 6 (5%) | 126 |
0.646 (1.00) |
0.996 (1.00) |
0.672 (1.00) |
1 (1.00) |
0.627 (1.00) |
1 (1.00) |
0.688 (1.00) |
1 (1.00) |
0.544 (1.00) |
0.898 (1.00) |
0.00141 (1.00) |
|
10q gain | 10 (8%) | 122 |
0.919 (1.00) |
0.796 (1.00) |
0.62 (1.00) |
0.603 (1.00) |
1 (1.00) |
0.276 (1.00) |
0.111 (1.00) |
0.732 (1.00) |
0.499 (1.00) |
0.546 (1.00) |
0.313 (1.00) |
0.0124 (1.00) |
11p gain | 12 (9%) | 120 |
0.643 (1.00) |
0.598 (1.00) |
0.305 (1.00) |
0.359 (1.00) |
0.154 (1.00) |
0.701 (1.00) |
0.0644 (1.00) |
0.365 (1.00) |
0.157 (1.00) |
0.759 (1.00) |
1 (1.00) |
|
11q gain | 12 (9%) | 120 |
0.942 (1.00) |
0.513 (1.00) |
0.305 (1.00) |
0.359 (1.00) |
0.154 (1.00) |
0.481 (1.00) |
0.223 (1.00) |
0.606 (1.00) |
0.484 (1.00) |
1 (1.00) |
1 (1.00) |
|
12p gain | 13 (10%) | 119 |
0.659 (1.00) |
0.373 (1.00) |
0.568 (1.00) |
0.643 (1.00) |
1 (1.00) |
0.598 (1.00) |
0.381 (1.00) |
0.785 (1.00) |
0.726 (1.00) |
0.0488 (1.00) |
0.105 (1.00) |
1 (1.00) |
12q gain | 9 (7%) | 123 |
0.869 (1.00) |
0.61 (1.00) |
0.795 (1.00) |
0.597 (1.00) |
0.685 (1.00) |
0.372 (1.00) |
0.181 (1.00) |
1 (1.00) |
0.0121 (1.00) |
0.0239 (1.00) |
1 (1.00) |
|
13q gain | 16 (12%) | 116 |
0.0937 (1.00) |
0.906 (1.00) |
0.926 (1.00) |
0.693 (1.00) |
0.761 (1.00) |
1 (1.00) |
0.597 (1.00) |
0.088 (1.00) |
0.0377 (1.00) |
0.26 (1.00) |
0.806 (1.00) |
1 (1.00) |
14q gain | 17 (13%) | 115 |
0.674 (1.00) |
0.965 (1.00) |
0.768 (1.00) |
0.216 (1.00) |
0.761 (1.00) |
0.601 (1.00) |
0.44 (1.00) |
0.419 (1.00) |
0.471 (1.00) |
0.442 (1.00) |
0.358 (1.00) |
1 (1.00) |
15q gain | 9 (7%) | 123 |
0.749 (1.00) |
0.378 (1.00) |
1 (1.00) |
0.597 (1.00) |
0.685 (1.00) |
1 (1.00) |
1 (1.00) |
0.346 (1.00) |
0.566 (1.00) |
0.805 (1.00) |
0.129 (1.00) |
1 (1.00) |
16p gain | 16 (12%) | 116 |
0.921 (1.00) |
0.146 (1.00) |
0.789 (1.00) |
0.393 (1.00) |
0.53 (1.00) |
0.574 (1.00) |
0.109 (1.00) |
1 (1.00) |
0.391 (1.00) |
0.168 (1.00) |
0.492 (1.00) |
0.615 (1.00) |
16q gain | 17 (13%) | 115 |
0.856 (1.00) |
0.159 (1.00) |
0.833 (1.00) |
0.411 (1.00) |
0.549 (1.00) |
0.527 (1.00) |
0.196 (1.00) |
0.848 (1.00) |
0.391 (1.00) |
0.233 (1.00) |
0.752 (1.00) |
0.641 (1.00) |
17p gain | 3 (2%) | 129 |
0.268 (1.00) |
0.631 (1.00) |
1 (1.00) |
0.558 (1.00) |
1 (1.00) |
0.591 (1.00) |
0.0436 (1.00) |
1 (1.00) |
0.663 (1.00) |
0.179 (1.00) |
||
17q gain | 9 (7%) | 123 |
0.349 (1.00) |
0.327 (1.00) |
0.672 (1.00) |
0.597 (1.00) |
0.441 (1.00) |
1 (1.00) |
0.299 (1.00) |
1 (1.00) |
0.388 (1.00) |
1 (1.00) |
0.652 (1.00) |
0.411 (1.00) |
18p gain | 18 (14%) | 114 |
0.688 (1.00) |
0.067 (1.00) |
0.573 (1.00) |
0.692 (1.00) |
0.37 (1.00) |
0.308 (1.00) |
0.13 (1.00) |
0.0574 (1.00) |
0.401 (1.00) |
0.502 (1.00) |
0.147 (1.00) |
0.698 (1.00) |
18q gain | 5 (4%) | 127 |
0.755 (1.00) |
0.374 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.376 (1.00) |
0.00984 (1.00) |
1 (1.00) |
0.547 (1.00) |
1 (1.00) |
|
19p gain | 8 (6%) | 124 |
0.634 (1.00) |
0.951 (1.00) |
1 (1.00) |
0.596 (1.00) |
0.68 (1.00) |
0.586 (1.00) |
0.071 (1.00) |
0.304 (1.00) |
0.0555 (1.00) |
0.143 (1.00) |
0.0716 (1.00) |
1 (1.00) |
19q gain | 16 (12%) | 116 |
0.863 (1.00) |
0.947 (1.00) |
0.56 (1.00) |
0.214 (1.00) |
1 (1.00) |
0.656 (1.00) |
0.109 (1.00) |
0.681 (1.00) |
0.119 (1.00) |
0.379 (1.00) |
0.0786 (1.00) |
0.668 (1.00) |
20p gain | 23 (17%) | 109 |
0.624 (1.00) |
0.235 (1.00) |
0.901 (1.00) |
0.725 (1.00) |
0.789 (1.00) |
0.0959 (1.00) |
0.646 (1.00) |
0.144 (1.00) |
0.758 (1.00) |
0.694 (1.00) |
0.522 (1.00) |
1 (1.00) |
20q gain | 30 (23%) | 102 |
0.459 (1.00) |
0.525 (1.00) |
0.918 (1.00) |
1 (1.00) |
0.634 (1.00) |
0.484 (1.00) |
0.303 (1.00) |
0.38 (1.00) |
0.406 (1.00) |
0.562 (1.00) |
0.49 (1.00) |
1 (1.00) |
22q gain | 7 (5%) | 125 |
0.517 (1.00) |
0.288 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.562 (1.00) |
0.244 (1.00) |
0.0502 (1.00) |
1 (1.00) |
0.17 (1.00) |
0.372 (1.00) |
|
xq gain | 7 (5%) | 125 |
0.568 (1.00) |
0.363 (1.00) |
0.116 (1.00) |
1 (1.00) |
1 (1.00) |
0.0622 (1.00) |
0.244 (1.00) |
1 (1.00) |
0.32 (1.00) |
0.452 (1.00) |
0.371 (1.00) |
|
1p loss | 24 (18%) | 108 |
0.198 (1.00) |
0.318 (1.00) |
0.18 (1.00) |
0.736 (1.00) |
0.0635 (1.00) |
0.513 (1.00) |
0.498 (1.00) |
0.901 (1.00) |
0.295 (1.00) |
0.713 (1.00) |
0.122 (1.00) |
0.181 (1.00) |
1q loss | 4 (3%) | 128 |
0.0023 (1.00) |
0.736 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.626 (1.00) |
1 (1.00) |
0.668 (1.00) |
0.978 (1.00) |
1 (1.00) |
||
2p loss | 8 (6%) | 124 |
0.37 (1.00) |
0.434 (1.00) |
0.867 (1.00) |
0.596 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.0149 (1.00) |
0.271 (1.00) |
0.273 (1.00) |
0.0415 (1.00) |
|
2q loss | 3 (2%) | 129 |
0.164 (1.00) |
0.633 (1.00) |
1 (1.00) |
0.558 (1.00) |
1 (1.00) |
1 (1.00) |
0.138 (1.00) |
1 (1.00) |
0.901 (1.00) |
1 (1.00) |
||
3p loss | 22 (17%) | 110 |
0.325 (1.00) |
0.355 (1.00) |
1 (1.00) |
0.716 (1.00) |
1 (1.00) |
0.911 (1.00) |
0.241 (1.00) |
0.339 (1.00) |
0.54 (1.00) |
0.929 (1.00) |
0.558 (1.00) |
0.508 (1.00) |
3q loss | 13 (10%) | 119 |
0.451 (1.00) |
0.857 (1.00) |
0.845 (1.00) |
0.643 (1.00) |
0.505 (1.00) |
0.852 (1.00) |
0.771 (1.00) |
0.0947 (1.00) |
0.382 (1.00) |
1 (1.00) |
0.488 (1.00) |
0.022 (1.00) |
4p loss | 15 (11%) | 117 |
0.566 (1.00) |
0.755 (1.00) |
0.958 (1.00) |
1 (1.00) |
1 (1.00) |
0.416 (1.00) |
0.0113 (1.00) |
0.308 (1.00) |
0.469 (1.00) |
0.58 (1.00) |
0.312 (1.00) |
0.137 (1.00) |
4q loss | 16 (12%) | 116 |
0.555 (1.00) |
0.989 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.757 (1.00) |
0.00609 (1.00) |
0.338 (1.00) |
0.345 (1.00) |
0.882 (1.00) |
0.671 (1.00) |
0.152 (1.00) |
5p loss | 5 (4%) | 127 |
0.444 (1.00) |
0.497 (1.00) |
0.774 (1.00) |
1 (1.00) |
0.592 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.469 (1.00) |
1 (1.00) |
0.368 (1.00) |
1 (1.00) |
5q loss | 9 (7%) | 123 |
0.654 (1.00) |
0.917 (1.00) |
0.62 (1.00) |
0.597 (1.00) |
0.114 (1.00) |
1 (1.00) |
0.51 (1.00) |
0.105 (1.00) |
0.346 (1.00) |
0.27 (1.00) |
0.175 (1.00) |
1 (1.00) |
6p loss | 42 (32%) | 90 |
0.444 (1.00) |
0.0415 (1.00) |
0.57 (1.00) |
0.386 (1.00) |
1 (1.00) |
0.474 (1.00) |
0.138 (1.00) |
0.0304 (1.00) |
0.327 (1.00) |
0.934 (1.00) |
0.911 (1.00) |
1 (1.00) |
6q loss | 56 (42%) | 76 |
0.451 (1.00) |
0.035 (1.00) |
0.436 (1.00) |
0.0943 (1.00) |
0.147 (1.00) |
0.759 (1.00) |
0.724 (1.00) |
0.578 (1.00) |
0.588 (1.00) |
0.816 (1.00) |
0.211 (1.00) |
0.606 (1.00) |
8p loss | 27 (20%) | 105 |
0.306 (1.00) |
0.605 (1.00) |
0.264 (1.00) |
0.507 (1.00) |
0.0692 (1.00) |
0.924 (1.00) |
0.0833 (1.00) |
0.092 (1.00) |
0.521 (1.00) |
0.456 (1.00) |
0.0114 (1.00) |
0.431 (1.00) |
8q loss | 11 (8%) | 121 |
0.625 (1.00) |
0.928 (1.00) |
0.694 (1.00) |
1 (1.00) |
0.7 (1.00) |
0.665 (1.00) |
0.753 (1.00) |
0.0759 (1.00) |
0.774 (1.00) |
0.381 (1.00) |
0.539 (1.00) |
0.0776 (1.00) |
9p loss | 49 (37%) | 83 |
0.896 (1.00) |
0.472 (1.00) |
0.0259 (1.00) |
0.168 (1.00) |
1 (1.00) |
0.436 (1.00) |
1 (1.00) |
0.438 (1.00) |
0.276 (1.00) |
0.968 (1.00) |
0.644 (1.00) |
0.712 (1.00) |
9q loss | 27 (20%) | 105 |
0.162 (1.00) |
0.605 (1.00) |
0.898 (1.00) |
1 (1.00) |
1 (1.00) |
0.0329 (1.00) |
0.83 (1.00) |
0.746 (1.00) |
0.903 (1.00) |
0.785 (1.00) |
0.284 (1.00) |
0.575 (1.00) |
10p loss | 24 (18%) | 108 |
0.322 (1.00) |
0.941 (1.00) |
0.167 (1.00) |
0.474 (1.00) |
0.797 (1.00) |
0.12 (1.00) |
1 (1.00) |
0.273 (1.00) |
0.919 (1.00) |
0.807 (1.00) |
0.887 (1.00) |
0.727 (1.00) |
10q loss | 19 (14%) | 113 |
0.234 (1.00) |
0.848 (1.00) |
0.845 (1.00) |
1 (1.00) |
0.561 (1.00) |
0.375 (1.00) |
1 (1.00) |
0.163 (1.00) |
0.243 (1.00) |
0.572 (1.00) |
0.84 (1.00) |
0.697 (1.00) |
11p loss | 7 (5%) | 125 |
0.734 (1.00) |
0.119 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.759 (1.00) |
0.701 (1.00) |
1 (1.00) |
0.424 (1.00) |
0.541 (1.00) |
0.0307 (1.00) |
|
11q loss | 7 (5%) | 125 |
0.407 (1.00) |
0.153 (1.00) |
0.839 (1.00) |
1 (1.00) |
0.669 (1.00) |
0.563 (1.00) |
0.454 (1.00) |
0.0889 (1.00) |
0.243 (1.00) |
0.959 (1.00) |
0.372 (1.00) |
|
12p loss | 13 (10%) | 119 |
0.611 (1.00) |
0.202 (1.00) |
0.418 (1.00) |
1 (1.00) |
0.477 (1.00) |
0.011 (1.00) |
0.381 (1.00) |
0.068 (1.00) |
0.363 (1.00) |
0.449 (1.00) |
0.18 (1.00) |
0.0391 (1.00) |
12q loss | 16 (12%) | 116 |
0.532 (1.00) |
0.152 (1.00) |
0.304 (1.00) |
0.0862 (1.00) |
0.192 (1.00) |
0.0231 (1.00) |
1 (1.00) |
0.29 (1.00) |
0.643 (1.00) |
0.703 (1.00) |
0.115 (1.00) |
0.0035 (1.00) |
13q loss | 14 (11%) | 118 |
0.336 (1.00) |
0.773 (1.00) |
0.274 (1.00) |
0.367 (1.00) |
0.186 (1.00) |
0.323 (1.00) |
0.573 (1.00) |
0.802 (1.00) |
0.175 (1.00) |
0.0783 (1.00) |
0.214 (1.00) |
0.213 (1.00) |
14q loss | 9 (7%) | 123 |
0.495 (1.00) |
0.566 (1.00) |
0.116 (1.00) |
0.271 (1.00) |
0.0895 (1.00) |
0.799 (1.00) |
1 (1.00) |
0.344 (1.00) |
0.176 (1.00) |
0.498 (1.00) |
0.744 (1.00) |
0.0147 (1.00) |
15q loss | 19 (14%) | 113 |
0.656 (1.00) |
0.514 (1.00) |
0.00719 (1.00) |
0.695 (1.00) |
0.0133 (1.00) |
0.218 (1.00) |
0.0844 (1.00) |
0.0873 (1.00) |
0.28 (1.00) |
0.802 (1.00) |
0.00603 (1.00) |
0.272 (1.00) |
16p loss | 5 (4%) | 127 |
0.544 (1.00) |
0.424 (1.00) |
0.773 (1.00) |
1 (1.00) |
0.592 (1.00) |
1 (1.00) |
1 (1.00) |
0.0386 (1.00) |
0.665 (1.00) |
0.706 (1.00) |
1 (1.00) |
|
16q loss | 4 (3%) | 128 |
0.384 (1.00) |
1 (1.00) |
1 (1.00) |
0.572 (1.00) |
1 (1.00) |
0.626 (1.00) |
0.0213 (1.00) |
0.161 (1.00) |
0.797 (1.00) |
1 (1.00) |
||
17p loss | 50 (38%) | 82 |
0.554 (1.00) |
0.936 (1.00) |
0.547 (1.00) |
0.408 (1.00) |
1 (1.00) |
0.753 (1.00) |
1 (1.00) |
0.263 (1.00) |
0.0579 (1.00) |
0.0666 (1.00) |
0.325 (1.00) |
1 (1.00) |
17q loss | 17 (13%) | 115 |
0.431 (1.00) |
0.726 (1.00) |
0.701 (1.00) |
0.216 (1.00) |
0.549 (1.00) |
0.335 (1.00) |
0.0681 (1.00) |
0.114 (1.00) |
0.0951 (1.00) |
0.121 (1.00) |
0.149 (1.00) |
0.171 (1.00) |
18p loss | 40 (30%) | 92 |
0.801 (1.00) |
0.252 (1.00) |
0.154 (1.00) |
0.385 (1.00) |
0.501 (1.00) |
0.432 (1.00) |
0.451 (1.00) |
1 (1.00) |
0.108 (1.00) |
0.635 (1.00) |
0.199 (1.00) |
0.548 (1.00) |
18q loss | 76 (58%) | 56 |
0.955 (1.00) |
0.848 (1.00) |
0.0392 (1.00) |
1 (1.00) |
0.215 (1.00) |
0.118 (1.00) |
0.383 (1.00) |
0.336 (1.00) |
0.856 (1.00) |
0.369 (1.00) |
0.0381 (1.00) |
0.353 (1.00) |
19p loss | 14 (11%) | 118 |
0.537 (1.00) |
0.079 (1.00) |
0.606 (1.00) |
0.367 (1.00) |
0.517 (1.00) |
0.325 (1.00) |
0.404 (1.00) |
0.196 (1.00) |
0.797 (1.00) |
0.21 (1.00) |
0.0587 (1.00) |
0.616 (1.00) |
19q loss | 9 (7%) | 123 |
0.374 (1.00) |
0.0836 (1.00) |
0.575 (1.00) |
0.597 (1.00) |
1 (1.00) |
0.186 (1.00) |
0.731 (1.00) |
1 (1.00) |
0.379 (1.00) |
0.264 (1.00) |
0.384 (1.00) |
1 (1.00) |
20p loss | 13 (10%) | 119 |
0.171 (1.00) |
0.714 (1.00) |
1 (1.00) |
1 (1.00) |
0.732 (1.00) |
0.853 (1.00) |
0.771 (1.00) |
0.786 (1.00) |
0.974 (1.00) |
0.446 (1.00) |
0.326 (1.00) |
0.166 (1.00) |
20q loss | 3 (2%) | 129 |
0.0634 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.156 (1.00) |
1 (1.00) |
1 (1.00) |
0.356 (1.00) |
0.0452 (1.00) |
0.177 (1.00) |
||
21q loss | 42 (32%) | 90 |
0.374 (1.00) |
0.721 (1.00) |
0.169 (1.00) |
0.0362 (1.00) |
0.122 (1.00) |
0.219 (1.00) |
1 (1.00) |
0.203 (1.00) |
0.895 (1.00) |
0.214 (1.00) |
0.0218 (1.00) |
0.699 (1.00) |
22q loss | 32 (24%) | 100 |
0.828 (1.00) |
0.158 (1.00) |
0.957 (1.00) |
1 (1.00) |
0.81 (1.00) |
0.865 (1.00) |
0.0263 (1.00) |
0.664 (1.00) |
0.99 (1.00) |
0.958 (1.00) |
0.848 (1.00) |
0.629 (1.00) |
xq loss | 12 (9%) | 120 |
0.573 (1.00) |
0.577 (1.00) |
0.163 (1.00) |
0.139 (1.00) |
0.035 (1.00) |
0.144 (1.00) |
0.545 (1.00) |
0.299 (1.00) |
0.515 (1.00) |
1 (1.00) |
0.0421 (1.00) |
0.264 (1.00) |
-
Copy number data file = transformed.cor.cli.txt
-
Clinical data file = PAAD-TP.merged_data.txt
-
Number of patients = 132
-
Number of significantly arm-level cnvs = 77
-
Number of selected clinical features = 12
-
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.