This pipeline computes the correlation between significant arm-level copy number variations (cnvs) and selected clinical features.
Testing the association between copy number variation 80 arm-level events and 11 clinical features across 183 patients, 6 significant findings detected with Q value < 0.25.
-
5q gain cnv correlated to 'NUMBER.OF.LYMPH.NODES'.
-
9q gain cnv correlated to 'GLEASON_SCORE'.
-
15q gain cnv correlated to 'GLEASON_SCORE'.
-
19p gain cnv correlated to 'GLEASON_SCORE'.
-
xq gain cnv correlated to 'GLEASON_SCORE'.
-
3q loss cnv correlated to 'NUMBER.OF.LYMPH.NODES'.
Clinical Features |
Time to Death |
AGE |
NEOPLASM DISEASESTAGE |
PATHOLOGY T STAGE |
PATHOLOGY N STAGE |
PATHOLOGY M STAGE |
GENDER |
KARNOFSKY PERFORMANCE SCORE |
NUMBERPACKYEARSSMOKED |
NUMBER OF LYMPH NODES |
GLEASON SCORE |
||
nCNV (%) | nWild-Type | logrank test | t-test | Fisher's exact test | Fisher's exact test | Fisher's exact test | Fisher's exact test | Fisher's exact test | t-test | t-test | t-test | t-test | |
5q gain | 24 (13%) | 159 |
0.738 (1.00) |
0.937 (1.00) |
0.186 (1.00) |
0.705 (1.00) |
0.196 (1.00) |
0.835 (1.00) |
0.449 (1.00) |
0.444 (1.00) |
0.937 (1.00) |
0.000218 (0.19) |
0.2 (1.00) |
9q gain | 25 (14%) | 158 |
0.166 (1.00) |
0.169 (1.00) |
0.0487 (1.00) |
0.408 (1.00) |
0.337 (1.00) |
0.0308 (1.00) |
0.457 (1.00) |
0.904 (1.00) |
0.0463 (1.00) |
0.558 (1.00) |
0.000247 (0.214) |
15q gain | 18 (10%) | 165 |
0.666 (1.00) |
0.387 (1.00) |
0.823 (1.00) |
0.226 (1.00) |
0.0903 (1.00) |
0.0756 (1.00) |
1 (1.00) |
0.513 (1.00) |
0.621 (1.00) |
0.753 (1.00) |
0.000256 (0.222) |
19p gain | 31 (17%) | 152 |
0.815 (1.00) |
0.535 (1.00) |
0.709 (1.00) |
0.261 (1.00) |
0.0745 (1.00) |
0.634 (1.00) |
0.501 (1.00) |
0.685 (1.00) |
0.898 (1.00) |
0.569 (1.00) |
0.000256 (0.222) |
xq gain | 20 (11%) | 163 |
0.393 (1.00) |
0.923 (1.00) |
0.455 (1.00) |
0.279 (1.00) |
0.832 (1.00) |
1 (1.00) |
1 (1.00) |
0.319 (1.00) |
0.364 (1.00) |
0.0163 (1.00) |
0.000237 (0.206) |
3q loss | 8 (4%) | 175 |
0.838 (1.00) |
0.592 (1.00) |
0.582 (1.00) |
1 (1.00) |
0.576 (1.00) |
0.207 (1.00) |
0.417 (1.00) |
0.416 (1.00) |
2.54e-07 (0.000221) |
0.385 (1.00) |
|
1p gain | 45 (25%) | 138 |
0.0411 (1.00) |
0.673 (1.00) |
0.64 (1.00) |
1 (1.00) |
0.0583 (1.00) |
1 (1.00) |
0.432 (1.00) |
0.418 (1.00) |
0.0924 (1.00) |
0.54 (1.00) |
0.417 (1.00) |
1q gain | 58 (32%) | 125 |
0.0772 (1.00) |
0.638 (1.00) |
0.0591 (1.00) |
0.767 (1.00) |
0.042 (1.00) |
0.0777 (1.00) |
0.714 (1.00) |
0.776 (1.00) |
0.0592 (1.00) |
0.156 (1.00) |
0.119 (1.00) |
2p gain | 54 (30%) | 129 |
0.648 (1.00) |
0.0161 (1.00) |
0.0298 (1.00) |
0.869 (1.00) |
0.00367 (1.00) |
0.777 (1.00) |
0.000709 (0.613) |
0.917 (1.00) |
0.101 (1.00) |
0.0816 (1.00) |
0.659 (1.00) |
2q gain | 25 (14%) | 158 |
0.601 (1.00) |
0.596 (1.00) |
0.922 (1.00) |
0.421 (1.00) |
0.794 (1.00) |
0.176 (1.00) |
0.215 (1.00) |
0.0937 (1.00) |
0.924 (1.00) |
0.308 (1.00) |
0.303 (1.00) |
3p gain | 61 (33%) | 122 |
0.629 (1.00) |
0.0574 (1.00) |
0.0218 (1.00) |
0.184 (1.00) |
0.0595 (1.00) |
1 (1.00) |
0.719 (1.00) |
0.00349 (1.00) |
0.234 (1.00) |
0.0723 (1.00) |
0.822 (1.00) |
3q gain | 80 (44%) | 103 |
0.585 (1.00) |
0.188 (1.00) |
0.0333 (1.00) |
0.404 (1.00) |
0.00371 (1.00) |
0.555 (1.00) |
1 (1.00) |
0.369 (1.00) |
0.491 (1.00) |
0.0314 (1.00) |
0.551 (1.00) |
4p gain | 17 (9%) | 166 |
0.175 (1.00) |
0.865 (1.00) |
0.553 (1.00) |
0.12 (1.00) |
0.09 (1.00) |
0.334 (1.00) |
0.378 (1.00) |
0.535 (1.00) |
0.834 (1.00) |
0.571 (1.00) |
0.491 (1.00) |
4q gain | 11 (6%) | 172 |
0.178 (1.00) |
0.818 (1.00) |
0.636 (1.00) |
0.493 (1.00) |
0.86 (1.00) |
0.525 (1.00) |
1 (1.00) |
0.821 (1.00) |
0.294 (1.00) |
0.228 (1.00) |
0.83 (1.00) |
5p gain | 73 (40%) | 110 |
0.729 (1.00) |
0.432 (1.00) |
0.523 (1.00) |
0.613 (1.00) |
0.534 (1.00) |
0.0236 (1.00) |
0.488 (1.00) |
0.549 (1.00) |
0.563 (1.00) |
0.177 (1.00) |
0.0412 (1.00) |
6p gain | 25 (14%) | 158 |
0.854 (1.00) |
0.834 (1.00) |
0.873 (1.00) |
0.531 (1.00) |
0.473 (1.00) |
0.275 (1.00) |
0.626 (1.00) |
0.724 (1.00) |
0.111 (1.00) |
0.951 (1.00) |
0.976 (1.00) |
6q gain | 16 (9%) | 167 |
0.327 (1.00) |
0.44 (1.00) |
0.801 (1.00) |
0.815 (1.00) |
0.066 (1.00) |
0.426 (1.00) |
0.365 (1.00) |
0.567 (1.00) |
0.0931 (1.00) |
0.772 (1.00) |
0.61 (1.00) |
7p gain | 75 (41%) | 108 |
0.537 (1.00) |
0.0429 (1.00) |
0.141 (1.00) |
0.562 (1.00) |
0.106 (1.00) |
0.915 (1.00) |
0.731 (1.00) |
0.534 (1.00) |
0.933 (1.00) |
0.357 (1.00) |
0.059 (1.00) |
7q gain | 70 (38%) | 113 |
0.949 (1.00) |
0.134 (1.00) |
0.417 (1.00) |
0.693 (1.00) |
0.00329 (1.00) |
0.206 (1.00) |
0.293 (1.00) |
0.287 (1.00) |
0.469 (1.00) |
0.261 (1.00) |
0.167 (1.00) |
8p gain | 35 (19%) | 148 |
0.295 (1.00) |
0.459 (1.00) |
0.23 (1.00) |
0.501 (1.00) |
0.961 (1.00) |
0.714 (1.00) |
0.52 (1.00) |
0.888 (1.00) |
0.968 (1.00) |
0.116 (1.00) |
0.771 (1.00) |
8q gain | 84 (46%) | 99 |
0.563 (1.00) |
0.46 (1.00) |
0.386 (1.00) |
0.849 (1.00) |
0.867 (1.00) |
0.919 (1.00) |
0.498 (1.00) |
0.499 (1.00) |
0.77 (1.00) |
0.159 (1.00) |
0.449 (1.00) |
9p gain | 31 (17%) | 152 |
0.0106 (1.00) |
0.578 (1.00) |
0.561 (1.00) |
0.584 (1.00) |
0.232 (1.00) |
0.281 (1.00) |
0.501 (1.00) |
0.562 (1.00) |
0.0259 (1.00) |
0.596 (1.00) |
0.619 (1.00) |
10p gain | 48 (26%) | 135 |
0.589 (1.00) |
0.839 (1.00) |
0.464 (1.00) |
0.942 (1.00) |
0.188 (1.00) |
0.374 (1.00) |
0.847 (1.00) |
0.4 (1.00) |
0.446 (1.00) |
0.523 (1.00) |
0.131 (1.00) |
10q gain | 15 (8%) | 168 |
0.754 (1.00) |
0.217 (1.00) |
0.394 (1.00) |
0.498 (1.00) |
0.175 (1.00) |
0.864 (1.00) |
0.764 (1.00) |
0.904 (1.00) |
0.498 (1.00) |
0.318 (1.00) |
0.777 (1.00) |
11p gain | 18 (10%) | 165 |
0.154 (1.00) |
0.966 (1.00) |
0.888 (1.00) |
0.718 (1.00) |
0.273 (1.00) |
0.678 (1.00) |
0.25 (1.00) |
0.662 (1.00) |
0.881 (1.00) |
0.375 (1.00) |
0.376 (1.00) |
11q gain | 24 (13%) | 159 |
0.828 (1.00) |
0.115 (1.00) |
0.799 (1.00) |
0.748 (1.00) |
0.375 (1.00) |
0.51 (1.00) |
0.205 (1.00) |
0.949 (1.00) |
0.559 (1.00) |
0.581 (1.00) |
0.139 (1.00) |
12p gain | 56 (31%) | 127 |
0.419 (1.00) |
0.0594 (1.00) |
0.438 (1.00) |
0.526 (1.00) |
0.567 (1.00) |
0.43 (1.00) |
0.467 (1.00) |
0.863 (1.00) |
0.147 (1.00) |
0.34 (1.00) |
0.443 (1.00) |
12q gain | 43 (23%) | 140 |
0.483 (1.00) |
0.994 (1.00) |
0.284 (1.00) |
0.825 (1.00) |
0.585 (1.00) |
0.333 (1.00) |
1 (1.00) |
0.89 (1.00) |
0.039 (1.00) |
0.366 (1.00) |
0.577 (1.00) |
13q gain | 45 (25%) | 138 |
0.839 (1.00) |
0.107 (1.00) |
0.109 (1.00) |
0.968 (1.00) |
0.011 (1.00) |
0.0264 (1.00) |
0.844 (1.00) |
0.354 (1.00) |
0.82 (1.00) |
0.441 (1.00) |
0.852 (1.00) |
14q gain | 33 (18%) | 150 |
0.285 (1.00) |
0.314 (1.00) |
0.431 (1.00) |
0.37 (1.00) |
0.302 (1.00) |
0.112 (1.00) |
0.269 (1.00) |
0.745 (1.00) |
0.843 (1.00) |
0.202 (1.00) |
0.976 (1.00) |
16p gain | 29 (16%) | 154 |
0.147 (1.00) |
0.397 (1.00) |
0.19 (1.00) |
0.0268 (1.00) |
0.429 (1.00) |
0.0363 (1.00) |
0.485 (1.00) |
0.822 (1.00) |
0.607 (1.00) |
0.725 (1.00) |
0.429 (1.00) |
16q gain | 36 (20%) | 147 |
0.558 (1.00) |
0.952 (1.00) |
0.386 (1.00) |
0.0892 (1.00) |
0.129 (1.00) |
0.0858 (1.00) |
0.206 (1.00) |
0.907 (1.00) |
0.807 (1.00) |
0.33 (1.00) |
0.471 (1.00) |
17p gain | 27 (15%) | 156 |
0.00144 (1.00) |
0.0565 (1.00) |
0.0283 (1.00) |
0.241 (1.00) |
0.437 (1.00) |
0.448 (1.00) |
0.631 (1.00) |
0.707 (1.00) |
0.526 (1.00) |
0.0263 (1.00) |
0.671 (1.00) |
17q gain | 65 (36%) | 118 |
0.0866 (1.00) |
0.455 (1.00) |
0.0568 (1.00) |
0.251 (1.00) |
0.0184 (1.00) |
0.663 (1.00) |
0.376 (1.00) |
0.0758 (1.00) |
0.109 (1.00) |
0.593 (1.00) |
0.738 (1.00) |
18p gain | 54 (30%) | 129 |
0.724 (1.00) |
0.823 (1.00) |
0.8 (1.00) |
0.198 (1.00) |
0.773 (1.00) |
0.184 (1.00) |
0.455 (1.00) |
0.0115 (1.00) |
0.591 (1.00) |
0.961 (1.00) |
0.471 (1.00) |
18q gain | 27 (15%) | 156 |
0.14 (1.00) |
0.919 (1.00) |
0.803 (1.00) |
0.141 (1.00) |
0.93 (1.00) |
0.448 (1.00) |
1 (1.00) |
0.00224 (1.00) |
0.517 (1.00) |
0.734 (1.00) |
0.429 (1.00) |
19q gain | 58 (32%) | 125 |
0.549 (1.00) |
0.906 (1.00) |
0.0947 (1.00) |
0.0942 (1.00) |
0.131 (1.00) |
1 (1.00) |
0.589 (1.00) |
0.29 (1.00) |
0.25 (1.00) |
0.187 (1.00) |
0.539 (1.00) |
20p gain | 93 (51%) | 90 |
0.0394 (1.00) |
0.275 (1.00) |
0.813 (1.00) |
0.977 (1.00) |
0.461 (1.00) |
0.532 (1.00) |
1 (1.00) |
0.401 (1.00) |
0.37 (1.00) |
0.155 (1.00) |
0.181 (1.00) |
20q gain | 106 (58%) | 77 |
0.473 (1.00) |
0.804 (1.00) |
0.923 (1.00) |
0.355 (1.00) |
0.461 (1.00) |
0.84 (1.00) |
0.23 (1.00) |
0.463 (1.00) |
0.349 (1.00) |
0.965 (1.00) |
0.474 (1.00) |
21q gain | 59 (32%) | 124 |
0.786 (1.00) |
0.0377 (1.00) |
0.292 (1.00) |
0.874 (1.00) |
0.0692 (1.00) |
0.713 (1.00) |
0.586 (1.00) |
0.75 (1.00) |
0.353 (1.00) |
0.53 (1.00) |
0.311 (1.00) |
22q gain | 29 (16%) | 154 |
0.393 (1.00) |
0.948 (1.00) |
0.455 (1.00) |
0.776 (1.00) |
0.446 (1.00) |
0.361 (1.00) |
0.646 (1.00) |
0.322 (1.00) |
0.802 (1.00) |
0.203 (1.00) |
0.279 (1.00) |
1p loss | 11 (6%) | 172 |
0.605 (1.00) |
0.281 (1.00) |
0.677 (1.00) |
0.327 (1.00) |
0.392 (1.00) |
0.295 (1.00) |
0.733 (1.00) |
0.0314 (1.00) |
0.927 (1.00) |
0.111 (1.00) |
|
1q loss | 15 (8%) | 168 |
0.77 (1.00) |
0.893 (1.00) |
0.865 (1.00) |
0.324 (1.00) |
0.929 (1.00) |
0.736 (1.00) |
0.534 (1.00) |
0.303 (1.00) |
0.0121 (1.00) |
0.644 (1.00) |
0.267 (1.00) |
2p loss | 19 (10%) | 164 |
0.939 (1.00) |
0.873 (1.00) |
0.492 (1.00) |
0.11 (1.00) |
0.182 (1.00) |
0.488 (1.00) |
0.0471 (1.00) |
0.897 (1.00) |
0.341 (1.00) |
0.149 (1.00) |
0.283 (1.00) |
2q loss | 41 (22%) | 142 |
0.296 (1.00) |
0.605 (1.00) |
0.208 (1.00) |
0.967 (1.00) |
0.0345 (1.00) |
1 (1.00) |
0.839 (1.00) |
0.457 (1.00) |
0.861 (1.00) |
0.905 (1.00) |
0.669 (1.00) |
3p loss | 24 (13%) | 159 |
0.735 (1.00) |
0.13 (1.00) |
0.768 (1.00) |
0.619 (1.00) |
0.513 (1.00) |
0.567 (1.00) |
0.138 (1.00) |
0.415 (1.00) |
0.411 (1.00) |
0.445 (1.00) |
0.719 (1.00) |
4p loss | 61 (33%) | 122 |
0.157 (1.00) |
0.147 (1.00) |
0.505 (1.00) |
0.696 (1.00) |
0.306 (1.00) |
0.536 (1.00) |
0.857 (1.00) |
0.948 (1.00) |
0.231 (1.00) |
0.413 (1.00) |
0.525 (1.00) |
4q loss | 62 (34%) | 121 |
0.515 (1.00) |
0.0684 (1.00) |
0.441 (1.00) |
0.322 (1.00) |
0.489 (1.00) |
0.451 (1.00) |
0.719 (1.00) |
0.742 (1.00) |
0.226 (1.00) |
0.529 (1.00) |
0.159 (1.00) |
5p loss | 29 (16%) | 154 |
0.259 (1.00) |
0.0799 (1.00) |
0.419 (1.00) |
0.957 (1.00) |
0.309 (1.00) |
0.292 (1.00) |
0.244 (1.00) |
0.0829 (1.00) |
0.633 (1.00) |
0.4 (1.00) |
0.283 (1.00) |
5q loss | 66 (36%) | 117 |
0.793 (1.00) |
0.223 (1.00) |
0.0414 (1.00) |
0.682 (1.00) |
0.02 (1.00) |
0.00574 (1.00) |
1 (1.00) |
0.0327 (1.00) |
0.728 (1.00) |
0.0704 (1.00) |
0.311 (1.00) |
6p loss | 45 (25%) | 138 |
0.882 (1.00) |
0.562 (1.00) |
0.0588 (1.00) |
0.0299 (1.00) |
0.0536 (1.00) |
0.646 (1.00) |
0.554 (1.00) |
0.681 (1.00) |
0.976 (1.00) |
0.203 (1.00) |
0.279 (1.00) |
6q loss | 67 (37%) | 116 |
0.603 (1.00) |
0.547 (1.00) |
0.0939 (1.00) |
0.561 (1.00) |
0.0459 (1.00) |
0.486 (1.00) |
0.482 (1.00) |
0.41 (1.00) |
0.723 (1.00) |
0.0424 (1.00) |
0.854 (1.00) |
7p loss | 7 (4%) | 176 |
0.0237 (1.00) |
0.803 (1.00) |
0.812 (1.00) |
1 (1.00) |
0.26 (1.00) |
0.756 (1.00) |
0.682 (1.00) |
0.67 (1.00) |
0.473 (1.00) |
0.539 (1.00) |
|
7q loss | 9 (5%) | 174 |
0.946 (1.00) |
0.593 (1.00) |
0.852 (1.00) |
0.894 (1.00) |
0.673 (1.00) |
0.625 (1.00) |
0.453 (1.00) |
0.00298 (1.00) |
0.704 (1.00) |
||
8p loss | 81 (44%) | 102 |
0.814 (1.00) |
0.226 (1.00) |
0.0558 (1.00) |
0.683 (1.00) |
0.083 (1.00) |
0.000466 (0.404) |
0.732 (1.00) |
0.0383 (1.00) |
0.255 (1.00) |
0.855 (1.00) |
0.241 (1.00) |
8q loss | 17 (9%) | 166 |
0.736 (1.00) |
0.0166 (1.00) |
0.364 (1.00) |
0.168 (1.00) |
0.362 (1.00) |
0.0767 (1.00) |
0.378 (1.00) |
0.978 (1.00) |
0.439 (1.00) |
0.283 (1.00) |
|
9p loss | 75 (41%) | 108 |
0.784 (1.00) |
0.0709 (1.00) |
0.838 (1.00) |
0.888 (1.00) |
0.678 (1.00) |
0.958 (1.00) |
0.387 (1.00) |
0.949 (1.00) |
0.96 (1.00) |
0.488 (1.00) |
0.49 (1.00) |
9q loss | 70 (38%) | 113 |
0.907 (1.00) |
0.114 (1.00) |
0.618 (1.00) |
0.342 (1.00) |
0.686 (1.00) |
0.838 (1.00) |
0.118 (1.00) |
0.744 (1.00) |
0.324 (1.00) |
0.818 (1.00) |
0.895 (1.00) |
10p loss | 36 (20%) | 147 |
0.817 (1.00) |
0.868 (1.00) |
0.784 (1.00) |
0.386 (1.00) |
0.536 (1.00) |
0.24 (1.00) |
0.831 (1.00) |
0.0199 (1.00) |
0.252 (1.00) |
0.462 (1.00) |
0.473 (1.00) |
10q loss | 61 (33%) | 122 |
0.419 (1.00) |
0.0231 (1.00) |
0.964 (1.00) |
0.948 (1.00) |
0.976 (1.00) |
0.467 (1.00) |
1 (1.00) |
0.0134 (1.00) |
0.812 (1.00) |
0.991 (1.00) |
0.608 (1.00) |
11p loss | 71 (39%) | 112 |
0.586 (1.00) |
0.153 (1.00) |
0.0239 (1.00) |
0.749 (1.00) |
0.0842 (1.00) |
0.17 (1.00) |
0.601 (1.00) |
0.54 (1.00) |
0.694 (1.00) |
0.078 (1.00) |
0.81 (1.00) |
11q loss | 54 (30%) | 129 |
0.477 (1.00) |
0.441 (1.00) |
0.457 (1.00) |
0.948 (1.00) |
0.166 (1.00) |
0.861 (1.00) |
0.581 (1.00) |
0.419 (1.00) |
0.146 (1.00) |
0.57 (1.00) |
0.263 (1.00) |
12p loss | 18 (10%) | 165 |
0.325 (1.00) |
0.49 (1.00) |
0.194 (1.00) |
0.573 (1.00) |
0.0617 (1.00) |
0.226 (1.00) |
0.0467 (1.00) |
0.873 (1.00) |
0.0555 (1.00) |
0.277 (1.00) |
0.153 (1.00) |
12q loss | 21 (11%) | 162 |
0.987 (1.00) |
0.24 (1.00) |
0.0134 (1.00) |
0.375 (1.00) |
0.00106 (0.918) |
0.218 (1.00) |
0.291 (1.00) |
0.993 (1.00) |
0.166 (1.00) |
0.196 (1.00) |
0.517 (1.00) |
13q loss | 40 (22%) | 143 |
0.139 (1.00) |
0.509 (1.00) |
0.856 (1.00) |
0.747 (1.00) |
1 (1.00) |
0.622 (1.00) |
0.302 (1.00) |
0.0072 (1.00) |
0.668 (1.00) |
0.85 (1.00) |
0.933 (1.00) |
14q loss | 49 (27%) | 134 |
0.426 (1.00) |
0.156 (1.00) |
0.409 (1.00) |
1 (1.00) |
0.229 (1.00) |
0.947 (1.00) |
0.124 (1.00) |
0.544 (1.00) |
0.118 (1.00) |
0.412 (1.00) |
0.507 (1.00) |
15q loss | 58 (32%) | 125 |
0.434 (1.00) |
0.347 (1.00) |
0.597 (1.00) |
0.459 (1.00) |
0.727 (1.00) |
0.0693 (1.00) |
0.857 (1.00) |
0.347 (1.00) |
0.233 (1.00) |
0.261 (1.00) |
0.417 (1.00) |
16p loss | 46 (25%) | 137 |
0.373 (1.00) |
0.482 (1.00) |
0.144 (1.00) |
0.0471 (1.00) |
0.387 (1.00) |
0.0897 (1.00) |
0.847 (1.00) |
0.971 (1.00) |
0.622 (1.00) |
0.189 (1.00) |
0.573 (1.00) |
16q loss | 45 (25%) | 138 |
0.944 (1.00) |
0.521 (1.00) |
0.386 (1.00) |
0.283 (1.00) |
0.226 (1.00) |
0.0107 (1.00) |
0.695 (1.00) |
0.531 (1.00) |
0.939 (1.00) |
0.442 (1.00) |
0.328 (1.00) |
17p loss | 78 (43%) | 105 |
0.659 (1.00) |
0.334 (1.00) |
0.15 (1.00) |
0.696 (1.00) |
0.962 (1.00) |
0.841 (1.00) |
0.609 (1.00) |
0.451 (1.00) |
0.635 (1.00) |
0.454 (1.00) |
0.328 (1.00) |
17q loss | 22 (12%) | 161 |
0.941 (1.00) |
0.319 (1.00) |
0.543 (1.00) |
0.199 (1.00) |
0.23 (1.00) |
0.17 (1.00) |
1 (1.00) |
0.839 (1.00) |
0.191 (1.00) |
0.667 (1.00) |
0.517 (1.00) |
18p loss | 41 (22%) | 142 |
0.949 (1.00) |
0.945 (1.00) |
0.222 (1.00) |
0.194 (1.00) |
0.17 (1.00) |
0.16 (1.00) |
0.839 (1.00) |
0.103 (1.00) |
0.0965 (1.00) |
0.685 (1.00) |
0.175 (1.00) |
18q loss | 64 (35%) | 119 |
0.2 (1.00) |
0.443 (1.00) |
0.618 (1.00) |
0.553 (1.00) |
0.727 (1.00) |
0.763 (1.00) |
0.372 (1.00) |
0.494 (1.00) |
0.595 (1.00) |
0.851 (1.00) |
0.822 (1.00) |
19p loss | 47 (26%) | 136 |
0.0534 (1.00) |
0.312 (1.00) |
0.00536 (1.00) |
0.0471 (1.00) |
0.00687 (1.00) |
0.0267 (1.00) |
0.698 (1.00) |
0.472 (1.00) |
0.69 (1.00) |
0.775 (1.00) |
0.96 (1.00) |
19q loss | 26 (14%) | 157 |
0.0213 (1.00) |
0.876 (1.00) |
0.757 (1.00) |
0.0498 (1.00) |
0.372 (1.00) |
0.198 (1.00) |
1 (1.00) |
0.882 (1.00) |
0.314 (1.00) |
0.294 (1.00) |
0.491 (1.00) |
20p loss | 12 (7%) | 171 |
0.393 (1.00) |
0.904 (1.00) |
1 (1.00) |
1 (1.00) |
0.302 (1.00) |
0.562 (1.00) |
0.733 (1.00) |
0.2 (1.00) |
0.00967 (1.00) |
0.6 (1.00) |
0.385 (1.00) |
20q loss | 5 (3%) | 178 |
0.854 (1.00) |
0.93 (1.00) |
0.0948 (1.00) |
0.361 (1.00) |
0.0413 (1.00) |
0.461 (1.00) |
0.601 (1.00) |
0.00157 (1.00) |
0.438 (1.00) |
||
21q loss | 27 (15%) | 156 |
0.094 (1.00) |
0.0751 (1.00) |
0.608 (1.00) |
0.163 (1.00) |
0.0296 (1.00) |
0.661 (1.00) |
0.477 (1.00) |
0.127 (1.00) |
0.697 (1.00) |
0.766 (1.00) |
0.459 (1.00) |
22q loss | 66 (36%) | 117 |
0.203 (1.00) |
0.238 (1.00) |
0.0974 (1.00) |
0.297 (1.00) |
0.193 (1.00) |
0.00841 (1.00) |
1 (1.00) |
0.0853 (1.00) |
0.827 (1.00) |
0.711 (1.00) |
0.71 (1.00) |
xq loss | 34 (19%) | 149 |
0.559 (1.00) |
0.621 (1.00) |
0.451 (1.00) |
0.412 (1.00) |
0.435 (1.00) |
0.458 (1.00) |
0.662 (1.00) |
0.674 (1.00) |
0.473 (1.00) |
0.739 (1.00) |
0.971 (1.00) |
P value = 0.000218 (t-test), Q value = 0.19
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 134 | 1.6 (3.4) |
5Q GAIN MUTATED | 18 | 0.3 (0.8) |
5Q GAIN WILD-TYPE | 116 | 1.8 (3.6) |
P value = 0.000247 (t-test), Q value = 0.21
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 39 | 6.4 (0.7) |
9Q GAIN MUTATED | 4 | 6.0 (0.0) |
9Q GAIN WILD-TYPE | 35 | 6.5 (0.7) |
P value = 0.000256 (t-test), Q value = 0.22
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 39 | 6.4 (0.7) |
15Q GAIN MUTATED | 3 | 6.0 (0.0) |
15Q GAIN WILD-TYPE | 36 | 6.5 (0.7) |
P value = 0.000256 (t-test), Q value = 0.22
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 39 | 6.4 (0.7) |
19P GAIN MUTATED | 3 | 6.0 (0.0) |
19P GAIN WILD-TYPE | 36 | 6.5 (0.7) |
P value = 0.000237 (t-test), Q value = 0.21
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 39 | 6.4 (0.7) |
XQ GAIN MUTATED | 5 | 6.0 (0.0) |
XQ GAIN WILD-TYPE | 34 | 6.5 (0.7) |
P value = 2.54e-07 (t-test), Q value = 0.00022
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 134 | 1.6 (3.4) |
3Q LOSS MUTATED | 5 | 0.0 (0.0) |
3Q LOSS WILD-TYPE | 129 | 1.6 (3.4) |
-
Copy number data file = transformed.cor.cli.txt
-
Clinical data file = BLCA-TP.merged_data.txt
-
Number of patients = 183
-
Number of significantly arm-level cnvs = 80
-
Number of selected clinical features = 11
-
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 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.
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.