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 13 clinical features across 391 patients, one significant finding detected with Q value < 0.25.
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20Q LOSS MUTATION ANALYSIS cnv correlated to 'KARNOFSKY.PERFORMANCE.SCORE'.
Clinical Features |
Time to Death |
AGE |
NEOPLASM DISEASESTAGE |
PATHOLOGY T STAGE |
PATHOLOGY N STAGE |
PATHOLOGY M STAGE |
GENDER |
KARNOFSKY PERFORMANCE SCORE |
HISTOLOGICAL TYPE |
RADIATIONS RADIATION REGIMENINDICATION |
NUMBERPACKYEARSSMOKED | YEAROFTOBACCOSMOKINGONSET |
COMPLETENESS OF RESECTION |
||
nCNV (%) | nWild-Type | logrank test | t-test | Chi-square test | Fisher's exact test | Fisher's exact test | Fisher's exact test | Fisher's exact test | t-test | Fisher's exact test | Fisher's exact test | t-test | t-test | Fisher's exact test | |
20Q LOSS MUTATION ANALYSIS | 35 (9%) | 356 |
0.985 (1.00) |
0.615 (1.00) |
0.0646 (1.00) |
0.133 (1.00) |
0.414 (1.00) |
0.557 (1.00) |
0.84 (1.00) |
2e-06 (0.00208) |
0.78 (1.00) |
0.612 (1.00) |
0.168 (1.00) |
0.303 (1.00) |
0.467 (1.00) |
1P GAIN MUTATION ANALYSIS | 75 (19%) | 316 |
0.811 (1.00) |
0.886 (1.00) |
0.0364 (1.00) |
0.136 (1.00) |
0.958 (1.00) |
0.0883 (1.00) |
0.883 (1.00) |
0.273 (1.00) |
0.0394 (1.00) |
0.256 (1.00) |
0.281 (1.00) |
0.282 (1.00) |
0.361 (1.00) |
1Q GAIN MUTATION ANALYSIS | 162 (41%) | 229 |
0.65 (1.00) |
0.561 (1.00) |
0.121 (1.00) |
0.103 (1.00) |
0.943 (1.00) |
0.494 (1.00) |
0.556 (1.00) |
0.481 (1.00) |
0.00371 (1.00) |
0.768 (1.00) |
0.141 (1.00) |
0.465 (1.00) |
0.747 (1.00) |
2P GAIN MUTATION ANALYSIS | 166 (42%) | 225 |
0.238 (1.00) |
0.791 (1.00) |
0.54 (1.00) |
0.328 (1.00) |
0.336 (1.00) |
0.874 (1.00) |
0.0453 (1.00) |
0.708 (1.00) |
0.0483 (1.00) |
0.135 (1.00) |
0.03 (1.00) |
0.108 (1.00) |
0.21 (1.00) |
2Q GAIN MUTATION ANALYSIS | 107 (27%) | 284 |
0.773 (1.00) |
0.753 (1.00) |
0.282 (1.00) |
0.387 (1.00) |
0.456 (1.00) |
0.947 (1.00) |
0.514 (1.00) |
0.575 (1.00) |
0.028 (1.00) |
0.0975 (1.00) |
0.142 (1.00) |
0.618 (1.00) |
0.275 (1.00) |
3P GAIN MUTATION ANALYSIS | 83 (21%) | 308 |
0.341 (1.00) |
0.925 (1.00) |
0.182 (1.00) |
0.554 (1.00) |
0.367 (1.00) |
0.823 (1.00) |
0.2 (1.00) |
0.522 (1.00) |
0.506 (1.00) |
0.723 (1.00) |
0.198 (1.00) |
0.889 (1.00) |
0.811 (1.00) |
3Q GAIN MUTATION ANALYSIS | 243 (62%) | 148 |
0.987 (1.00) |
0.917 (1.00) |
0.601 (1.00) |
0.817 (1.00) |
0.79 (1.00) |
0.169 (1.00) |
0.339 (1.00) |
0.826 (1.00) |
0.0135 (1.00) |
0.547 (1.00) |
0.667 (1.00) |
0.962 (1.00) |
0.96 (1.00) |
4P GAIN MUTATION ANALYSIS | 23 (6%) | 368 |
0.116 (1.00) |
0.904 (1.00) |
0.377 (1.00) |
0.187 (1.00) |
1 (1.00) |
1 (1.00) |
0.219 (1.00) |
0.729 (1.00) |
0.673 (1.00) |
0.522 (1.00) |
0.821 (1.00) |
0.418 (1.00) |
0.312 (1.00) |
4Q GAIN MUTATION ANALYSIS | 15 (4%) | 376 |
0.832 (1.00) |
0.0813 (1.00) |
0.314 (1.00) |
0.727 (1.00) |
0.589 (1.00) |
1 (1.00) |
0.375 (1.00) |
0.683 (1.00) |
0.513 (1.00) |
0.379 (1.00) |
0.517 (1.00) |
0.734 (1.00) |
0.686 (1.00) |
5P GAIN MUTATION ANALYSIS | 239 (61%) | 152 |
0.425 (1.00) |
0.105 (1.00) |
0.746 (1.00) |
0.238 (1.00) |
0.239 (1.00) |
0.765 (1.00) |
0.905 (1.00) |
0.824 (1.00) |
0.7 (1.00) |
1 (1.00) |
0.282 (1.00) |
0.379 (1.00) |
0.00381 (1.00) |
5Q GAIN MUTATION ANALYSIS | 71 (18%) | 320 |
0.39 (1.00) |
0.293 (1.00) |
0.0733 (1.00) |
0.553 (1.00) |
0.489 (1.00) |
0.872 (1.00) |
0.88 (1.00) |
0.923 (1.00) |
0.9 (1.00) |
1 (1.00) |
0.875 (1.00) |
0.0985 (1.00) |
0.451 (1.00) |
6P GAIN MUTATION ANALYSIS | 85 (22%) | 306 |
0.979 (1.00) |
0.661 (1.00) |
0.75 (1.00) |
0.217 (1.00) |
0.531 (1.00) |
0.777 (1.00) |
0.573 (1.00) |
0.0189 (1.00) |
0.355 (1.00) |
0.728 (1.00) |
0.921 (1.00) |
0.3 (1.00) |
0.322 (1.00) |
6Q GAIN MUTATION ANALYSIS | 74 (19%) | 317 |
0.91 (1.00) |
0.994 (1.00) |
0.463 (1.00) |
0.459 (1.00) |
0.614 (1.00) |
0.936 (1.00) |
0.551 (1.00) |
0.0254 (1.00) |
0.281 (1.00) |
0.706 (1.00) |
0.643 (1.00) |
0.694 (1.00) |
0.775 (1.00) |
7P GAIN MUTATION ANALYSIS | 184 (47%) | 207 |
0.061 (1.00) |
0.165 (1.00) |
0.0732 (1.00) |
0.0126 (1.00) |
0.163 (1.00) |
0.389 (1.00) |
0.244 (1.00) |
0.58 (1.00) |
0.547 (1.00) |
0.39 (1.00) |
0.0264 (1.00) |
0.251 (1.00) |
0.479 (1.00) |
7Q GAIN MUTATION ANALYSIS | 173 (44%) | 218 |
0.434 (1.00) |
0.576 (1.00) |
0.17 (1.00) |
0.116 (1.00) |
0.336 (1.00) |
0.0993 (1.00) |
0.24 (1.00) |
0.0354 (1.00) |
0.614 (1.00) |
0.561 (1.00) |
0.0739 (1.00) |
0.466 (1.00) |
0.349 (1.00) |
8P GAIN MUTATION ANALYSIS | 108 (28%) | 283 |
0.617 (1.00) |
0.0466 (1.00) |
0.00533 (1.00) |
0.0101 (1.00) |
0.639 (1.00) |
0.0098 (1.00) |
0.24 (1.00) |
0.252 (1.00) |
0.437 (1.00) |
0.0229 (1.00) |
0.948 (1.00) |
0.916 (1.00) |
0.0751 (1.00) |
8Q GAIN MUTATION ANALYSIS | 199 (51%) | 192 |
0.682 (1.00) |
0.507 (1.00) |
0.0233 (1.00) |
0.0813 (1.00) |
0.0795 (1.00) |
0.0438 (1.00) |
0.352 (1.00) |
0.401 (1.00) |
0.474 (1.00) |
0.141 (1.00) |
0.538 (1.00) |
0.583 (1.00) |
0.0424 (1.00) |
9P GAIN MUTATION ANALYSIS | 43 (11%) | 348 |
0.634 (1.00) |
0.313 (1.00) |
0.0579 (1.00) |
0.577 (1.00) |
0.124 (1.00) |
0.209 (1.00) |
0.709 (1.00) |
0.12 (1.00) |
0.305 (1.00) |
0.377 (1.00) |
0.475 (1.00) |
0.768 (1.00) |
1 (1.00) |
9Q GAIN MUTATION ANALYSIS | 71 (18%) | 320 |
0.973 (1.00) |
0.771 (1.00) |
0.361 (1.00) |
0.678 (1.00) |
0.574 (1.00) |
0.0152 (1.00) |
0.364 (1.00) |
0.167 (1.00) |
0.588 (1.00) |
0.135 (1.00) |
0.436 (1.00) |
0.965 (1.00) |
0.302 (1.00) |
10P GAIN MUTATION ANALYSIS | 57 (15%) | 334 |
0.522 (1.00) |
0.497 (1.00) |
0.173 (1.00) |
0.659 (1.00) |
0.49 (1.00) |
0.528 (1.00) |
0.187 (1.00) |
0.272 (1.00) |
1 (1.00) |
1 (1.00) |
0.238 (1.00) |
0.0277 (1.00) |
0.432 (1.00) |
10Q GAIN MUTATION ANALYSIS | 33 (8%) | 358 |
0.379 (1.00) |
0.542 (1.00) |
0.402 (1.00) |
0.307 (1.00) |
0.547 (1.00) |
1 (1.00) |
0.407 (1.00) |
0.936 (1.00) |
0.771 (1.00) |
1 (1.00) |
0.527 (1.00) |
0.0737 (1.00) |
0.682 (1.00) |
11P GAIN MUTATION ANALYSIS | 54 (14%) | 337 |
0.937 (1.00) |
0.0111 (1.00) |
0.916 (1.00) |
0.0947 (1.00) |
0.178 (1.00) |
1 (1.00) |
0.499 (1.00) |
0.125 (1.00) |
0.751 (1.00) |
0.675 (1.00) |
0.215 (1.00) |
0.318 (1.00) |
0.64 (1.00) |
11Q GAIN MUTATION ANALYSIS | 66 (17%) | 325 |
0.53 (1.00) |
0.134 (1.00) |
0.895 (1.00) |
0.128 (1.00) |
0.364 (1.00) |
0.239 (1.00) |
0.877 (1.00) |
0.412 (1.00) |
0.8 (1.00) |
0.699 (1.00) |
0.0791 (1.00) |
0.844 (1.00) |
0.497 (1.00) |
12P GAIN MUTATION ANALYSIS | 178 (46%) | 213 |
0.945 (1.00) |
0.902 (1.00) |
0.334 (1.00) |
0.237 (1.00) |
0.556 (1.00) |
0.502 (1.00) |
0.00153 (1.00) |
0.105 (1.00) |
0.783 (1.00) |
0.393 (1.00) |
0.948 (1.00) |
0.821 (1.00) |
1 (1.00) |
12Q GAIN MUTATION ANALYSIS | 120 (31%) | 271 |
0.92 (1.00) |
0.553 (1.00) |
0.371 (1.00) |
0.301 (1.00) |
0.193 (1.00) |
0.865 (1.00) |
0.0113 (1.00) |
0.924 (1.00) |
0.941 (1.00) |
1 (1.00) |
0.726 (1.00) |
0.778 (1.00) |
0.974 (1.00) |
13Q GAIN MUTATION ANALYSIS | 29 (7%) | 362 |
0.721 (1.00) |
0.173 (1.00) |
0.996 (1.00) |
0.494 (1.00) |
0.538 (1.00) |
0.303 (1.00) |
0.824 (1.00) |
0.197 (1.00) |
0.406 (1.00) |
0.609 (1.00) |
0.0682 (1.00) |
0.163 (1.00) |
0.477 (1.00) |
14Q GAIN MUTATION ANALYSIS | 93 (24%) | 298 |
0.0403 (1.00) |
0.0216 (1.00) |
0.484 (1.00) |
0.171 (1.00) |
0.489 (1.00) |
0.269 (1.00) |
0.681 (1.00) |
0.71 (1.00) |
0.92 (1.00) |
1 (1.00) |
0.843 (1.00) |
0.321 (1.00) |
0.758 (1.00) |
15Q GAIN MUTATION ANALYSIS | 87 (22%) | 304 |
0.798 (1.00) |
0.847 (1.00) |
0.559 (1.00) |
0.559 (1.00) |
0.158 (1.00) |
0.229 (1.00) |
0.327 (1.00) |
0.652 (1.00) |
0.365 (1.00) |
0.478 (1.00) |
0.0164 (1.00) |
0.352 (1.00) |
0.884 (1.00) |
16P GAIN MUTATION ANALYSIS | 65 (17%) | 326 |
0.287 (1.00) |
0.402 (1.00) |
0.472 (1.00) |
0.81 (1.00) |
0.401 (1.00) |
0.435 (1.00) |
0.0593 (1.00) |
0.0681 (1.00) |
0.208 (1.00) |
1 (1.00) |
0.0833 (1.00) |
0.449 (1.00) |
0.953 (1.00) |
16Q GAIN MUTATION ANALYSIS | 65 (17%) | 326 |
0.604 (1.00) |
0.152 (1.00) |
0.227 (1.00) |
0.677 (1.00) |
0.671 (1.00) |
0.239 (1.00) |
0.00276 (1.00) |
0.287 (1.00) |
0.229 (1.00) |
1 (1.00) |
0.879 (1.00) |
0.0324 (1.00) |
0.78 (1.00) |
17P GAIN MUTATION ANALYSIS | 54 (14%) | 337 |
0.555 (1.00) |
0.0231 (1.00) |
0.28 (1.00) |
0.947 (1.00) |
0.926 (1.00) |
0.506 (1.00) |
0.736 (1.00) |
0.889 (1.00) |
0.643 (1.00) |
0.385 (1.00) |
0.0127 (1.00) |
0.0423 (1.00) |
0.872 (1.00) |
17Q GAIN MUTATION ANALYSIS | 119 (30%) | 272 |
0.167 (1.00) |
0.213 (1.00) |
0.377 (1.00) |
0.191 (1.00) |
0.332 (1.00) |
0.349 (1.00) |
0.00748 (1.00) |
0.816 (1.00) |
0.941 (1.00) |
0.761 (1.00) |
0.634 (1.00) |
0.0793 (1.00) |
0.73 (1.00) |
18P GAIN MUTATION ANALYSIS | 120 (31%) | 271 |
0.61 (1.00) |
0.367 (1.00) |
0.426 (1.00) |
0.424 (1.00) |
0.312 (1.00) |
0.665 (1.00) |
0.315 (1.00) |
0.291 (1.00) |
1 (1.00) |
0.2 (1.00) |
0.563 (1.00) |
0.832 (1.00) |
0.223 (1.00) |
18Q GAIN MUTATION ANALYSIS | 92 (24%) | 299 |
0.827 (1.00) |
0.575 (1.00) |
0.262 (1.00) |
0.0278 (1.00) |
0.576 (1.00) |
0.406 (1.00) |
0.492 (1.00) |
0.044 (1.00) |
0.543 (1.00) |
0.163 (1.00) |
0.0691 (1.00) |
0.474 (1.00) |
0.306 (1.00) |
19P GAIN MUTATION ANALYSIS | 83 (21%) | 308 |
0.21 (1.00) |
0.652 (1.00) |
0.563 (1.00) |
0.773 (1.00) |
0.806 (1.00) |
0.684 (1.00) |
0.776 (1.00) |
0.0454 (1.00) |
0.0723 (1.00) |
0.291 (1.00) |
0.929 (1.00) |
0.119 (1.00) |
0.82 (1.00) |
19Q GAIN MUTATION ANALYSIS | 122 (31%) | 269 |
0.941 (1.00) |
0.21 (1.00) |
0.696 (1.00) |
0.0852 (1.00) |
0.263 (1.00) |
0.824 (1.00) |
0.532 (1.00) |
0.133 (1.00) |
0.0711 (1.00) |
1 (1.00) |
0.406 (1.00) |
0.00636 (1.00) |
0.724 (1.00) |
20P GAIN MUTATION ANALYSIS | 198 (51%) | 193 |
0.352 (1.00) |
0.0936 (1.00) |
0.245 (1.00) |
0.807 (1.00) |
0.619 (1.00) |
0.298 (1.00) |
0.13 (1.00) |
0.779 (1.00) |
0.824 (1.00) |
0.381 (1.00) |
0.35 (1.00) |
0.782 (1.00) |
0.725 (1.00) |
20Q GAIN MUTATION ANALYSIS | 192 (49%) | 199 |
0.438 (1.00) |
0.222 (1.00) |
0.559 (1.00) |
0.473 (1.00) |
0.169 (1.00) |
0.43 (1.00) |
0.0625 (1.00) |
0.133 (1.00) |
0.474 (1.00) |
0.569 (1.00) |
0.703 (1.00) |
0.395 (1.00) |
0.798 (1.00) |
21Q GAIN MUTATION ANALYSIS | 40 (10%) | 351 |
0.122 (1.00) |
0.947 (1.00) |
0.00416 (1.00) |
0.0613 (1.00) |
0.0132 (1.00) |
0.671 (1.00) |
0.335 (1.00) |
0.686 (1.00) |
0.0993 (1.00) |
0.114 (1.00) |
0.474 (1.00) |
0.323 (1.00) |
0.0311 (1.00) |
22Q GAIN MUTATION ANALYSIS | 174 (45%) | 217 |
0.778 (1.00) |
0.0425 (1.00) |
0.0826 (1.00) |
0.112 (1.00) |
0.387 (1.00) |
0.807 (1.00) |
0.726 (1.00) |
0.971 (1.00) |
0.59 (1.00) |
0.56 (1.00) |
0.232 (1.00) |
0.121 (1.00) |
0.209 (1.00) |
XQ GAIN MUTATION ANALYSIS | 62 (16%) | 329 |
0.384 (1.00) |
0.71 (1.00) |
0.377 (1.00) |
0.119 (1.00) |
0.85 (1.00) |
0.285 (1.00) |
0.523 (1.00) |
0.987 (1.00) |
0.531 (1.00) |
0.7 (1.00) |
0.927 (1.00) |
0.277 (1.00) |
0.715 (1.00) |
1P LOSS MUTATION ANALYSIS | 109 (28%) | 282 |
0.351 (1.00) |
0.697 (1.00) |
0.744 (1.00) |
0.484 (1.00) |
0.369 (1.00) |
0.24 (1.00) |
0.0682 (1.00) |
0.973 (1.00) |
0.931 (1.00) |
0.745 (1.00) |
0.36 (1.00) |
0.748 (1.00) |
0.61 (1.00) |
1Q LOSS MUTATION ANALYSIS | 39 (10%) | 352 |
0.731 (1.00) |
0.473 (1.00) |
0.382 (1.00) |
0.475 (1.00) |
0.096 (1.00) |
0.764 (1.00) |
0.564 (1.00) |
0.656 (1.00) |
0.798 (1.00) |
0.107 (1.00) |
0.265 (1.00) |
0.875 (1.00) |
0.0429 (1.00) |
2P LOSS MUTATION ANALYSIS | 15 (4%) | 376 |
0.534 (1.00) |
0.115 (1.00) |
0.178 (1.00) |
0.293 (1.00) |
0.0615 (1.00) |
0.372 (1.00) |
0.221 (1.00) |
0.547 (1.00) |
1 (1.00) |
0.379 (1.00) |
0.239 (1.00) |
0.697 (1.00) |
1 (1.00) |
2Q LOSS MUTATION ANALYSIS | 30 (8%) | 361 |
0.68 (1.00) |
0.14 (1.00) |
0.849 (1.00) |
0.319 (1.00) |
0.0317 (1.00) |
0.495 (1.00) |
0.515 (1.00) |
0.963 (1.00) |
1 (1.00) |
1 (1.00) |
0.0462 (1.00) |
0.768 (1.00) |
0.671 (1.00) |
3P LOSS MUTATION ANALYSIS | 242 (62%) | 149 |
0.547 (1.00) |
0.0316 (1.00) |
0.651 (1.00) |
0.941 (1.00) |
0.587 (1.00) |
0.697 (1.00) |
0.149 (1.00) |
0.454 (1.00) |
0.825 (1.00) |
0.547 (1.00) |
0.173 (1.00) |
0.356 (1.00) |
1 (1.00) |
3Q LOSS MUTATION ANALYSIS | 63 (16%) | 328 |
0.617 (1.00) |
0.929 (1.00) |
0.808 (1.00) |
0.0612 (1.00) |
0.889 (1.00) |
0.0883 (1.00) |
0.43 (1.00) |
0.478 (1.00) |
0.355 (1.00) |
1 (1.00) |
0.273 (1.00) |
0.548 (1.00) |
0.733 (1.00) |
4P LOSS MUTATION ANALYSIS | 237 (61%) | 154 |
0.146 (1.00) |
0.703 (1.00) |
0.0987 (1.00) |
0.438 (1.00) |
0.774 (1.00) |
0.313 (1.00) |
0.474 (1.00) |
0.651 (1.00) |
0.248 (1.00) |
0.379 (1.00) |
0.713 (1.00) |
0.939 (1.00) |
0.48 (1.00) |
4Q LOSS MUTATION ANALYSIS | 217 (55%) | 174 |
0.133 (1.00) |
0.901 (1.00) |
0.298 (1.00) |
0.55 (1.00) |
0.471 (1.00) |
0.291 (1.00) |
0.413 (1.00) |
0.248 (1.00) |
0.815 (1.00) |
0.24 (1.00) |
0.374 (1.00) |
0.472 (1.00) |
0.609 (1.00) |
5P LOSS MUTATION ANALYSIS | 65 (17%) | 326 |
0.193 (1.00) |
0.34 (1.00) |
0.587 (1.00) |
0.107 (1.00) |
0.261 (1.00) |
0.934 (1.00) |
0.756 (1.00) |
0.92 (1.00) |
1 (1.00) |
0.429 (1.00) |
0.0826 (1.00) |
0.19 (1.00) |
0.211 (1.00) |
5Q LOSS MUTATION ANALYSIS | 229 (59%) | 162 |
0.269 (1.00) |
0.837 (1.00) |
0.0113 (1.00) |
0.611 (1.00) |
0.188 (1.00) |
0.291 (1.00) |
0.556 (1.00) |
0.706 (1.00) |
0.773 (1.00) |
0.373 (1.00) |
0.964 (1.00) |
0.0841 (1.00) |
0.477 (1.00) |
6P LOSS MUTATION ANALYSIS | 79 (20%) | 312 |
0.463 (1.00) |
0.446 (1.00) |
0.342 (1.00) |
0.284 (1.00) |
0.0812 (1.00) |
1 (1.00) |
0.469 (1.00) |
0.631 (1.00) |
1 (1.00) |
0.473 (1.00) |
0.897 (1.00) |
0.649 (1.00) |
0.226 (1.00) |
6Q LOSS MUTATION ANALYSIS | 84 (21%) | 307 |
0.869 (1.00) |
0.522 (1.00) |
0.152 (1.00) |
0.32 (1.00) |
0.474 (1.00) |
0.731 (1.00) |
0.778 (1.00) |
0.818 (1.00) |
0.554 (1.00) |
0.475 (1.00) |
0.823 (1.00) |
0.253 (1.00) |
0.652 (1.00) |
7P LOSS MUTATION ANALYSIS | 49 (13%) | 342 |
0.479 (1.00) |
0.321 (1.00) |
0.072 (1.00) |
0.299 (1.00) |
0.286 (1.00) |
0.531 (1.00) |
0.293 (1.00) |
0.358 (1.00) |
1 (1.00) |
0.652 (1.00) |
0.0478 (1.00) |
0.922 (1.00) |
0.123 (1.00) |
7Q LOSS MUTATION ANALYSIS | 44 (11%) | 347 |
0.612 (1.00) |
0.527 (1.00) |
0.755 (1.00) |
0.524 (1.00) |
0.945 (1.00) |
0.701 (1.00) |
0.854 (1.00) |
0.567 (1.00) |
1 (1.00) |
1 (1.00) |
0.0497 (1.00) |
0.333 (1.00) |
0.622 (1.00) |
8P LOSS MUTATION ANALYSIS | 186 (48%) | 205 |
0.515 (1.00) |
0.019 (1.00) |
0.124 (1.00) |
0.231 (1.00) |
0.963 (1.00) |
0.0595 (1.00) |
0.0806 (1.00) |
0.255 (1.00) |
1 (1.00) |
0.387 (1.00) |
0.375 (1.00) |
0.431 (1.00) |
0.649 (1.00) |
8Q LOSS MUTATION ANALYSIS | 36 (9%) | 355 |
0.691 (1.00) |
0.698 (1.00) |
0.386 (1.00) |
0.309 (1.00) |
0.491 (1.00) |
0.648 (1.00) |
0.156 (1.00) |
0.344 (1.00) |
0.146 (1.00) |
0.613 (1.00) |
0.552 (1.00) |
0.178 (1.00) |
0.391 (1.00) |
9P LOSS MUTATION ANALYSIS | 245 (63%) | 146 |
0.645 (1.00) |
0.288 (1.00) |
0.241 (1.00) |
0.669 (1.00) |
0.507 (1.00) |
0.761 (1.00) |
0.719 (1.00) |
0.846 (1.00) |
0.112 (1.00) |
1 (1.00) |
0.147 (1.00) |
0.21 (1.00) |
0.771 (1.00) |
9Q LOSS MUTATION ANALYSIS | 184 (47%) | 207 |
0.87 (1.00) |
0.00509 (1.00) |
0.443 (1.00) |
0.328 (1.00) |
0.483 (1.00) |
0.088 (1.00) |
0.726 (1.00) |
0.535 (1.00) |
0.154 (1.00) |
0.39 (1.00) |
0.886 (1.00) |
0.0517 (1.00) |
0.96 (1.00) |
10P LOSS MUTATION ANALYSIS | 161 (41%) | 230 |
0.764 (1.00) |
0.873 (1.00) |
0.307 (1.00) |
0.946 (1.00) |
0.155 (1.00) |
0.385 (1.00) |
0.236 (1.00) |
0.499 (1.00) |
1 (1.00) |
0.768 (1.00) |
0.365 (1.00) |
0.172 (1.00) |
0.444 (1.00) |
10Q LOSS MUTATION ANALYSIS | 164 (42%) | 227 |
0.766 (1.00) |
0.117 (1.00) |
0.226 (1.00) |
0.906 (1.00) |
0.269 (1.00) |
0.337 (1.00) |
0.347 (1.00) |
0.633 (1.00) |
0.913 (1.00) |
0.768 (1.00) |
0.965 (1.00) |
0.11 (1.00) |
0.351 (1.00) |
11P LOSS MUTATION ANALYSIS | 133 (34%) | 258 |
0.574 (1.00) |
0.042 (1.00) |
0.234 (1.00) |
0.897 (1.00) |
0.155 (1.00) |
0.0667 (1.00) |
0.806 (1.00) |
0.247 (1.00) |
0.664 (1.00) |
1 (1.00) |
0.0445 (1.00) |
0.394 (1.00) |
0.777 (1.00) |
11Q LOSS MUTATION ANALYSIS | 110 (28%) | 281 |
0.704 (1.00) |
0.0309 (1.00) |
0.882 (1.00) |
0.793 (1.00) |
0.0413 (1.00) |
0.686 (1.00) |
0.156 (1.00) |
0.694 (1.00) |
0.677 (1.00) |
1 (1.00) |
0.085 (1.00) |
0.181 (1.00) |
0.13 (1.00) |
12P LOSS MUTATION ANALYSIS | 31 (8%) | 360 |
0.139 (1.00) |
0.812 (1.00) |
0.317 (1.00) |
0.206 (1.00) |
0.712 (1.00) |
1 (1.00) |
0.387 (1.00) |
0.547 (1.00) |
0.0524 (1.00) |
0.61 (1.00) |
0.691 (1.00) |
0.296 (1.00) |
0.759 (1.00) |
12Q LOSS MUTATION ANALYSIS | 35 (9%) | 356 |
0.871 (1.00) |
0.615 (1.00) |
0.68 (1.00) |
0.459 (1.00) |
0.753 (1.00) |
0.638 (1.00) |
0.683 (1.00) |
0.588 (1.00) |
0.0326 (1.00) |
0.612 (1.00) |
0.728 (1.00) |
0.519 (1.00) |
1 (1.00) |
13Q LOSS MUTATION ANALYSIS | 234 (60%) | 157 |
0.295 (1.00) |
0.422 (1.00) |
0.651 (1.00) |
0.697 (1.00) |
0.65 (1.00) |
0.675 (1.00) |
0.476 (1.00) |
0.626 (1.00) |
0.0169 (1.00) |
1 (1.00) |
0.981 (1.00) |
0.677 (1.00) |
0.754 (1.00) |
14Q LOSS MUTATION ANALYSIS | 127 (32%) | 264 |
0.107 (1.00) |
0.613 (1.00) |
0.484 (1.00) |
0.12 (1.00) |
0.174 (1.00) |
0.297 (1.00) |
0.619 (1.00) |
0.899 (1.00) |
0.14 (1.00) |
1 (1.00) |
0.707 (1.00) |
0.2 (1.00) |
0.568 (1.00) |
15Q LOSS MUTATION ANALYSIS | 100 (26%) | 291 |
0.896 (1.00) |
0.148 (1.00) |
0.0623 (1.00) |
0.152 (1.00) |
0.0501 (1.00) |
0.547 (1.00) |
0.289 (1.00) |
0.969 (1.00) |
0.187 (1.00) |
0.0844 (1.00) |
0.585 (1.00) |
0.55 (1.00) |
0.686 (1.00) |
16P LOSS MUTATION ANALYSIS | 121 (31%) | 270 |
0.0813 (1.00) |
0.975 (1.00) |
0.131 (1.00) |
0.22 (1.00) |
0.629 (1.00) |
0.217 (1.00) |
0.257 (1.00) |
0.23 (1.00) |
0.0694 (1.00) |
0.762 (1.00) |
0.266 (1.00) |
0.805 (1.00) |
0.473 (1.00) |
16Q LOSS MUTATION ANALYSIS | 137 (35%) | 254 |
0.199 (1.00) |
0.319 (1.00) |
0.438 (1.00) |
0.598 (1.00) |
0.687 (1.00) |
0.0818 (1.00) |
0.113 (1.00) |
0.221 (1.00) |
0.211 (1.00) |
0.76 (1.00) |
0.639 (1.00) |
0.768 (1.00) |
0.483 (1.00) |
17P LOSS MUTATION ANALYSIS | 217 (55%) | 174 |
0.655 (1.00) |
0.0152 (1.00) |
0.706 (1.00) |
0.573 (1.00) |
0.0485 (1.00) |
1 (1.00) |
0.814 (1.00) |
0.0667 (1.00) |
0.917 (1.00) |
0.0737 (1.00) |
0.00315 (1.00) |
0.133 (1.00) |
0.652 (1.00) |
17Q LOSS MUTATION ANALYSIS | 72 (18%) | 319 |
0.542 (1.00) |
0.21 (1.00) |
0.459 (1.00) |
0.262 (1.00) |
0.33 (1.00) |
0.871 (1.00) |
0.0968 (1.00) |
0.348 (1.00) |
0.291 (1.00) |
0.0506 (1.00) |
0.402 (1.00) |
0.607 (1.00) |
0.924 (1.00) |
18P LOSS MUTATION ANALYSIS | 106 (27%) | 285 |
0.739 (1.00) |
0.402 (1.00) |
0.107 (1.00) |
0.428 (1.00) |
0.913 (1.00) |
0.0865 (1.00) |
0.6 (1.00) |
0.754 (1.00) |
0.711 (1.00) |
0.193 (1.00) |
0.606 (1.00) |
0.987 (1.00) |
0.847 (1.00) |
18Q LOSS MUTATION ANALYSIS | 141 (36%) | 250 |
0.36 (1.00) |
0.737 (1.00) |
0.0911 (1.00) |
0.119 (1.00) |
0.824 (1.00) |
0.265 (1.00) |
0.332 (1.00) |
0.682 (1.00) |
0.265 (1.00) |
0.549 (1.00) |
0.205 (1.00) |
0.353 (1.00) |
0.293 (1.00) |
19P LOSS MUTATION ANALYSIS | 122 (31%) | 269 |
0.132 (1.00) |
0.254 (1.00) |
0.582 (1.00) |
0.517 (1.00) |
0.0226 (1.00) |
0.202 (1.00) |
0.615 (1.00) |
0.0126 (1.00) |
0.533 (1.00) |
0.204 (1.00) |
0.245 (1.00) |
0.319 (1.00) |
0.438 (1.00) |
19Q LOSS MUTATION ANALYSIS | 81 (21%) | 310 |
0.611 (1.00) |
0.173 (1.00) |
0.609 (1.00) |
0.736 (1.00) |
0.656 (1.00) |
0.822 (1.00) |
0.251 (1.00) |
0.0353 (1.00) |
0.147 (1.00) |
0.281 (1.00) |
0.0968 (1.00) |
0.0128 (1.00) |
0.281 (1.00) |
20P LOSS MUTATION ANALYSIS | 35 (9%) | 356 |
0.505 (1.00) |
0.964 (1.00) |
0.502 (1.00) |
0.133 (1.00) |
0.438 (1.00) |
0.751 (1.00) |
0.311 (1.00) |
0.822 (1.00) |
1 (1.00) |
1 (1.00) |
0.353 (1.00) |
0.76 (1.00) |
0.373 (1.00) |
21Q LOSS MUTATION ANALYSIS | 207 (53%) | 184 |
0.512 (1.00) |
0.719 (1.00) |
0.689 (1.00) |
1 (1.00) |
0.37 (1.00) |
0.11 (1.00) |
0.000269 (0.279) |
0.532 (1.00) |
0.57 (1.00) |
1 (1.00) |
0.82 (1.00) |
0.441 (1.00) |
0.572 (1.00) |
22Q LOSS MUTATION ANALYSIS | 71 (18%) | 320 |
0.999 (1.00) |
0.0453 (1.00) |
0.142 (1.00) |
0.717 (1.00) |
0.0126 (1.00) |
0.399 (1.00) |
1 (1.00) |
0.595 (1.00) |
0.124 (1.00) |
0.463 (1.00) |
0.676 (1.00) |
0.0389 (1.00) |
0.568 (1.00) |
XQ LOSS MUTATION ANALYSIS | 94 (24%) | 297 |
0.492 (1.00) |
0.505 (1.00) |
0.894 (1.00) |
0.0947 (1.00) |
0.496 (1.00) |
0.597 (1.00) |
0.343 (1.00) |
0.268 (1.00) |
0.426 (1.00) |
1 (1.00) |
0.42 (1.00) |
0.313 (1.00) |
0.729 (1.00) |
P value = 2e-06 (t-test), Q value = 0.0021
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 54 | 28.5 (39.7) |
20Q LOSS MUTATED | 4 | 0.0 (0.0) |
20Q LOSS WILD-TYPE | 50 | 30.8 (40.4) |
-
Copy number data file = transformed.cor.cli.txt
-
Clinical data file = LUSC-TP.clin.merged.picked.txt
-
Number of patients = 391
-
Number of significantly arm-level cnvs = 80
-
Number of selected clinical features = 13
-
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 multi-class clinical features (nominal or ordinal), Chi-square tests (Greenwood and Nikulin 1996) were used to estimate the P values using the 'chisq.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.