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 12 clinical features across 404 patients, one significant finding detected with Q value < 0.25.
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18p gain cnv correlated to 'GENDER'.
Clinical Features |
Time to Death |
AGE |
NEOPLASM DISEASESTAGE |
PATHOLOGY T STAGE |
PATHOLOGY N STAGE |
PATHOLOGY M STAGE |
GENDER |
HISTOLOGICAL TYPE |
RADIATIONS RADIATION REGIMENINDICATION |
NUMBERPACKYEARSSMOKED | YEAROFTOBACCOSMOKINGONSET |
NUMBER OF LYMPH NODES |
||
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 | Fisher's exact test | Fisher's exact test | t-test | t-test | t-test | |
18p gain | 92 (23%) | 312 |
0.369 (1.00) |
0.0084 (1.00) |
0.195 (1.00) |
0.113 (1.00) |
0.0597 (1.00) |
0.342 (1.00) |
0.00012 (0.116) |
0.493 (1.00) |
0.654 (1.00) |
0.186 (1.00) |
0.408 (1.00) |
0.496 (1.00) |
1p gain | 53 (13%) | 351 |
0.356 (1.00) |
0.206 (1.00) |
0.844 (1.00) |
0.803 (1.00) |
0.319 (1.00) |
0.0133 (1.00) |
0.415 (1.00) |
0.0258 (1.00) |
0.853 (1.00) |
0.693 (1.00) |
0.186 (1.00) |
0.749 (1.00) |
1q gain | 94 (23%) | 310 |
0.954 (1.00) |
0.0889 (1.00) |
0.486 (1.00) |
0.307 (1.00) |
0.0881 (1.00) |
0.219 (1.00) |
0.696 (1.00) |
0.0541 (1.00) |
0.3 (1.00) |
1 (1.00) |
0.116 (1.00) |
0.329 (1.00) |
2p gain | 72 (18%) | 332 |
0.602 (1.00) |
0.273 (1.00) |
0.966 (1.00) |
0.369 (1.00) |
0.483 (1.00) |
0.433 (1.00) |
0.062 (1.00) |
0.668 (1.00) |
0.745 (1.00) |
0.0436 (1.00) |
0.335 (1.00) |
0.471 (1.00) |
2q gain | 57 (14%) | 347 |
0.825 (1.00) |
0.723 (1.00) |
0.685 (1.00) |
0.666 (1.00) |
0.19 (1.00) |
0.244 (1.00) |
0.344 (1.00) |
0.657 (1.00) |
0.367 (1.00) |
0.237 (1.00) |
0.353 (1.00) |
0.429 (1.00) |
3p gain | 67 (17%) | 337 |
0.722 (1.00) |
0.326 (1.00) |
0.98 (1.00) |
0.481 (1.00) |
0.816 (1.00) |
0.32 (1.00) |
0.378 (1.00) |
1 (1.00) |
0.504 (1.00) |
0.881 (1.00) |
0.0704 (1.00) |
0.463 (1.00) |
3q gain | 205 (51%) | 199 |
0.684 (1.00) |
0.178 (1.00) |
0.679 (1.00) |
0.773 (1.00) |
0.0653 (1.00) |
0.718 (1.00) |
0.0989 (1.00) |
0.84 (1.00) |
0.103 (1.00) |
0.496 (1.00) |
0.176 (1.00) |
0.0162 (1.00) |
4p gain | 34 (8%) | 370 |
0.891 (1.00) |
0.022 (1.00) |
0.546 (1.00) |
0.279 (1.00) |
0.812 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.505 (1.00) |
0.359 (1.00) |
0.244 (1.00) |
0.118 (1.00) |
4q gain | 29 (7%) | 375 |
0.283 (1.00) |
0.259 (1.00) |
0.035 (1.00) |
0.599 (1.00) |
0.0702 (1.00) |
1 (1.00) |
1 (1.00) |
0.409 (1.00) |
0.233 (1.00) |
0.53 (1.00) |
0.647 (1.00) |
0.686 (1.00) |
5p gain | 155 (38%) | 249 |
0.655 (1.00) |
0.0953 (1.00) |
0.338 (1.00) |
0.681 (1.00) |
0.253 (1.00) |
0.269 (1.00) |
0.0557 (1.00) |
0.513 (1.00) |
0.0285 (1.00) |
0.975 (1.00) |
0.849 (1.00) |
0.9 (1.00) |
5q gain | 51 (13%) | 353 |
0.872 (1.00) |
0.21 (1.00) |
0.366 (1.00) |
0.546 (1.00) |
0.504 (1.00) |
0.102 (1.00) |
0.139 (1.00) |
0.152 (1.00) |
0.0869 (1.00) |
0.186 (1.00) |
0.686 (1.00) |
0.692 (1.00) |
6p gain | 62 (15%) | 342 |
0.687 (1.00) |
0.169 (1.00) |
0.951 (1.00) |
0.778 (1.00) |
0.49 (1.00) |
0.231 (1.00) |
0.879 (1.00) |
1 (1.00) |
0.0361 (1.00) |
0.128 (1.00) |
0.0534 (1.00) |
0.34 (1.00) |
6q gain | 46 (11%) | 358 |
0.655 (1.00) |
0.11 (1.00) |
0.67 (1.00) |
0.676 (1.00) |
0.292 (1.00) |
0.268 (1.00) |
0.863 (1.00) |
1 (1.00) |
0.0168 (1.00) |
0.0357 (1.00) |
0.00646 (1.00) |
0.45 (1.00) |
7p gain | 148 (37%) | 256 |
0.029 (1.00) |
0.28 (1.00) |
0.663 (1.00) |
0.528 (1.00) |
0.598 (1.00) |
0.261 (1.00) |
0.648 (1.00) |
0.0501 (1.00) |
0.604 (1.00) |
0.399 (1.00) |
0.165 (1.00) |
0.993 (1.00) |
7q gain | 101 (25%) | 303 |
0.173 (1.00) |
0.265 (1.00) |
0.851 (1.00) |
0.867 (1.00) |
0.638 (1.00) |
0.129 (1.00) |
0.703 (1.00) |
0.113 (1.00) |
0.563 (1.00) |
0.372 (1.00) |
0.73 (1.00) |
0.966 (1.00) |
8p gain | 113 (28%) | 291 |
0.587 (1.00) |
0.345 (1.00) |
0.986 (1.00) |
0.721 (1.00) |
0.916 (1.00) |
1 (1.00) |
0.0859 (1.00) |
0.0202 (1.00) |
0.406 (1.00) |
0.796 (1.00) |
0.757 (1.00) |
0.956 (1.00) |
8q gain | 235 (58%) | 169 |
0.349 (1.00) |
0.62 (1.00) |
0.374 (1.00) |
0.805 (1.00) |
0.337 (1.00) |
0.276 (1.00) |
0.504 (1.00) |
1 (1.00) |
0.801 (1.00) |
0.777 (1.00) |
0.116 (1.00) |
0.523 (1.00) |
9p gain | 82 (20%) | 322 |
0.651 (1.00) |
0.248 (1.00) |
0.142 (1.00) |
0.656 (1.00) |
0.0856 (1.00) |
0.825 (1.00) |
0.1 (1.00) |
1 (1.00) |
0.159 (1.00) |
0.0048 (1.00) |
0.35 (1.00) |
0.526 (1.00) |
9q gain | 109 (27%) | 295 |
0.558 (1.00) |
0.0677 (1.00) |
0.1 (1.00) |
0.203 (1.00) |
0.251 (1.00) |
0.832 (1.00) |
0.902 (1.00) |
0.754 (1.00) |
0.573 (1.00) |
0.0889 (1.00) |
0.956 (1.00) |
0.738 (1.00) |
10p gain | 27 (7%) | 377 |
0.0858 (1.00) |
0.559 (1.00) |
0.947 (1.00) |
0.889 (1.00) |
0.763 (1.00) |
0.581 (1.00) |
0.515 (1.00) |
0.386 (1.00) |
0.801 (1.00) |
0.452 (1.00) |
0.756 (1.00) |
0.0236 (1.00) |
10q gain | 26 (6%) | 378 |
0.342 (1.00) |
0.942 (1.00) |
0.675 (1.00) |
0.784 (1.00) |
0.977 (1.00) |
1 (1.00) |
0.656 (1.00) |
1 (1.00) |
0.313 (1.00) |
0.439 (1.00) |
0.482 (1.00) |
0.133 (1.00) |
11p gain | 54 (13%) | 350 |
0.837 (1.00) |
0.374 (1.00) |
0.59 (1.00) |
0.873 (1.00) |
0.0952 (1.00) |
0.148 (1.00) |
0.63 (1.00) |
1 (1.00) |
0.583 (1.00) |
0.0272 (1.00) |
0.52 (1.00) |
0.847 (1.00) |
11q gain | 56 (14%) | 348 |
0.46 (1.00) |
0.563 (1.00) |
0.481 (1.00) |
0.6 (1.00) |
0.219 (1.00) |
0.461 (1.00) |
0.265 (1.00) |
1 (1.00) |
0.587 (1.00) |
0.025 (1.00) |
0.267 (1.00) |
0.98 (1.00) |
12p gain | 114 (28%) | 290 |
0.403 (1.00) |
0.65 (1.00) |
0.914 (1.00) |
0.95 (1.00) |
0.878 (1.00) |
0.679 (1.00) |
0.543 (1.00) |
0.419 (1.00) |
0.889 (1.00) |
0.11 (1.00) |
0.642 (1.00) |
0.871 (1.00) |
12q gain | 68 (17%) | 336 |
0.809 (1.00) |
0.323 (1.00) |
0.435 (1.00) |
0.768 (1.00) |
0.365 (1.00) |
1 (1.00) |
0.884 (1.00) |
0.663 (1.00) |
0.0296 (1.00) |
0.143 (1.00) |
0.402 (1.00) |
0.0445 (1.00) |
13q gain | 48 (12%) | 356 |
0.786 (1.00) |
0.0742 (1.00) |
0.565 (1.00) |
0.612 (1.00) |
0.874 (1.00) |
0.784 (1.00) |
1 (1.00) |
1 (1.00) |
0.0821 (1.00) |
0.662 (1.00) |
0.0408 (1.00) |
0.554 (1.00) |
14q gain | 120 (30%) | 284 |
0.367 (1.00) |
0.833 (1.00) |
0.884 (1.00) |
0.939 (1.00) |
0.97 (1.00) |
0.84 (1.00) |
0.281 (1.00) |
0.239 (1.00) |
0.583 (1.00) |
0.463 (1.00) |
0.77 (1.00) |
0.464 (1.00) |
15q gain | 62 (15%) | 342 |
0.444 (1.00) |
0.96 (1.00) |
0.94 (1.00) |
0.0567 (1.00) |
0.729 (1.00) |
0.803 (1.00) |
0.761 (1.00) |
0.658 (1.00) |
0.862 (1.00) |
0.691 (1.00) |
0.431 (1.00) |
0.221 (1.00) |
16p gain | 81 (20%) | 323 |
0.32 (1.00) |
0.0859 (1.00) |
0.444 (1.00) |
0.997 (1.00) |
0.461 (1.00) |
0.794 (1.00) |
0.681 (1.00) |
0.684 (1.00) |
0.754 (1.00) |
0.566 (1.00) |
0.49 (1.00) |
0.0953 (1.00) |
16q gain | 85 (21%) | 319 |
0.0545 (1.00) |
0.0894 (1.00) |
0.292 (1.00) |
0.675 (1.00) |
0.792 (1.00) |
0.461 (1.00) |
0.139 (1.00) |
1 (1.00) |
0.879 (1.00) |
0.691 (1.00) |
0.322 (1.00) |
0.31 (1.00) |
17p gain | 51 (13%) | 353 |
0.826 (1.00) |
0.362 (1.00) |
0.406 (1.00) |
0.237 (1.00) |
0.825 (1.00) |
1 (1.00) |
0.413 (1.00) |
0.152 (1.00) |
0.707 (1.00) |
0.919 (1.00) |
0.813 (1.00) |
0.471 (1.00) |
17q gain | 67 (17%) | 337 |
0.365 (1.00) |
0.78 (1.00) |
0.45 (1.00) |
0.14 (1.00) |
0.291 (1.00) |
0.811 (1.00) |
0.239 (1.00) |
0.149 (1.00) |
0.866 (1.00) |
0.578 (1.00) |
0.656 (1.00) |
0.456 (1.00) |
18q gain | 36 (9%) | 368 |
0.773 (1.00) |
0.535 (1.00) |
0.551 (1.00) |
0.762 (1.00) |
0.831 (1.00) |
1 (1.00) |
0.00075 (0.719) |
1 (1.00) |
1 (1.00) |
0.412 (1.00) |
0.558 (1.00) |
0.835 (1.00) |
19p gain | 38 (9%) | 366 |
0.104 (1.00) |
0.237 (1.00) |
0.466 (1.00) |
0.192 (1.00) |
0.375 (1.00) |
0.141 (1.00) |
0.347 (1.00) |
1 (1.00) |
1 (1.00) |
0.516 (1.00) |
0.938 (1.00) |
0.0459 (1.00) |
19q gain | 56 (14%) | 348 |
0.225 (1.00) |
0.676 (1.00) |
0.999 (1.00) |
0.708 (1.00) |
0.928 (1.00) |
0.168 (1.00) |
0.208 (1.00) |
0.651 (1.00) |
0.717 (1.00) |
0.714 (1.00) |
0.757 (1.00) |
0.201 (1.00) |
20p gain | 148 (37%) | 256 |
0.912 (1.00) |
0.852 (1.00) |
0.76 (1.00) |
0.796 (1.00) |
0.399 (1.00) |
0.579 (1.00) |
0.733 (1.00) |
1 (1.00) |
0.195 (1.00) |
0.43 (1.00) |
0.444 (1.00) |
0.678 (1.00) |
20q gain | 156 (39%) | 248 |
0.39 (1.00) |
0.814 (1.00) |
0.598 (1.00) |
0.342 (1.00) |
0.77 (1.00) |
0.581 (1.00) |
0.822 (1.00) |
0.515 (1.00) |
0.25 (1.00) |
0.976 (1.00) |
0.0745 (1.00) |
0.202 (1.00) |
21q gain | 27 (7%) | 377 |
0.96 (1.00) |
0.914 (1.00) |
0.0906 (1.00) |
0.421 (1.00) |
0.149 (1.00) |
0.42 (1.00) |
0.0455 (1.00) |
0.00363 (1.00) |
0.449 (1.00) |
0.951 (1.00) |
0.935 (1.00) |
0.597 (1.00) |
22q gain | 88 (22%) | 316 |
0.138 (1.00) |
0.911 (1.00) |
0.754 (1.00) |
0.758 (1.00) |
0.743 (1.00) |
0.18 (1.00) |
0.596 (1.00) |
0.0933 (1.00) |
0.447 (1.00) |
0.132 (1.00) |
0.277 (1.00) |
0.534 (1.00) |
xq gain | 70 (17%) | 334 |
0.383 (1.00) |
0.132 (1.00) |
0.217 (1.00) |
0.0576 (1.00) |
0.272 (1.00) |
0.601 (1.00) |
0.663 (1.00) |
0.666 (1.00) |
0.00805 (1.00) |
0.187 (1.00) |
0.48 (1.00) |
0.382 (1.00) |
1p loss | 45 (11%) | 359 |
0.483 (1.00) |
0.0345 (1.00) |
0.552 (1.00) |
0.552 (1.00) |
0.844 (1.00) |
0.396 (1.00) |
0.383 (1.00) |
0.565 (1.00) |
0.69 (1.00) |
0.0189 (1.00) |
0.949 (1.00) |
0.883 (1.00) |
1q loss | 31 (8%) | 373 |
0.475 (1.00) |
0.49 (1.00) |
0.755 (1.00) |
0.322 (1.00) |
0.878 (1.00) |
1 (1.00) |
0.838 (1.00) |
1 (1.00) |
1 (1.00) |
0.425 (1.00) |
0.604 (1.00) |
0.0463 (1.00) |
2p loss | 27 (7%) | 377 |
0.949 (1.00) |
0.751 (1.00) |
0.369 (1.00) |
0.932 (1.00) |
0.381 (1.00) |
0.16 (1.00) |
0.0135 (1.00) |
1 (1.00) |
0.131 (1.00) |
0.236 (1.00) |
0.908 (1.00) |
0.00158 (1.00) |
2q loss | 34 (8%) | 370 |
0.931 (1.00) |
0.877 (1.00) |
0.0488 (1.00) |
0.331 (1.00) |
0.11 (1.00) |
1 (1.00) |
0.00878 (1.00) |
1 (1.00) |
0.04 (1.00) |
0.322 (1.00) |
0.545 (1.00) |
0.279 (1.00) |
3p loss | 234 (58%) | 170 |
0.00247 (1.00) |
0.665 (1.00) |
0.416 (1.00) |
0.0891 (1.00) |
0.15 (1.00) |
0.146 (1.00) |
0.0453 (1.00) |
0.0869 (1.00) |
0.311 (1.00) |
0.0882 (1.00) |
0.452 (1.00) |
0.037 (1.00) |
3q loss | 54 (13%) | 350 |
0.00128 (1.00) |
0.283 (1.00) |
0.168 (1.00) |
0.0602 (1.00) |
0.27 (1.00) |
0.232 (1.00) |
0.332 (1.00) |
1 (1.00) |
0.713 (1.00) |
0.131 (1.00) |
0.971 (1.00) |
0.00832 (1.00) |
4p loss | 153 (38%) | 251 |
0.655 (1.00) |
0.312 (1.00) |
0.694 (1.00) |
0.361 (1.00) |
0.558 (1.00) |
0.187 (1.00) |
0.308 (1.00) |
0.8 (1.00) |
1 (1.00) |
0.367 (1.00) |
0.305 (1.00) |
0.07 (1.00) |
4q loss | 116 (29%) | 288 |
0.581 (1.00) |
0.402 (1.00) |
0.117 (1.00) |
0.296 (1.00) |
0.105 (1.00) |
0.408 (1.00) |
0.808 (1.00) |
0.77 (1.00) |
0.0959 (1.00) |
0.806 (1.00) |
0.88 (1.00) |
0.137 (1.00) |
5p loss | 39 (10%) | 365 |
0.983 (1.00) |
0.306 (1.00) |
0.781 (1.00) |
0.651 (1.00) |
0.388 (1.00) |
0.526 (1.00) |
0.577 (1.00) |
1 (1.00) |
0.0553 (1.00) |
0.99 (1.00) |
0.742 (1.00) |
0.321 (1.00) |
5q loss | 129 (32%) | 275 |
0.546 (1.00) |
0.403 (1.00) |
0.404 (1.00) |
0.0331 (1.00) |
0.394 (1.00) |
0.844 (1.00) |
0.288 (1.00) |
0.775 (1.00) |
1 (1.00) |
0.0424 (1.00) |
0.672 (1.00) |
0.419 (1.00) |
6p loss | 55 (14%) | 349 |
0.293 (1.00) |
0.606 (1.00) |
0.421 (1.00) |
0.604 (1.00) |
0.601 (1.00) |
0.579 (1.00) |
0.263 (1.00) |
1 (1.00) |
0.714 (1.00) |
0.342 (1.00) |
0.444 (1.00) |
0.196 (1.00) |
6q loss | 56 (14%) | 348 |
0.325 (1.00) |
0.593 (1.00) |
0.75 (1.00) |
0.59 (1.00) |
0.979 (1.00) |
0.784 (1.00) |
0.0569 (1.00) |
0.651 (1.00) |
0.717 (1.00) |
0.924 (1.00) |
0.635 (1.00) |
0.951 (1.00) |
7p loss | 19 (5%) | 385 |
0.779 (1.00) |
0.898 (1.00) |
0.652 (1.00) |
0.847 (1.00) |
0.173 (1.00) |
0.42 (1.00) |
1 (1.00) |
1 (1.00) |
1 (1.00) |
0.228 (1.00) |
0.248 (1.00) |
0.906 (1.00) |
7q loss | 36 (9%) | 368 |
0.829 (1.00) |
0.0956 (1.00) |
0.722 (1.00) |
0.289 (1.00) |
0.701 (1.00) |
0.768 (1.00) |
0.847 (1.00) |
0.482 (1.00) |
0.662 (1.00) |
0.676 (1.00) |
0.0459 (1.00) |
0.238 (1.00) |
8p loss | 148 (37%) | 256 |
0.0619 (1.00) |
0.81 (1.00) |
0.537 (1.00) |
0.446 (1.00) |
0.328 (1.00) |
1 (1.00) |
0.212 (1.00) |
0.129 (1.00) |
1 (1.00) |
0.273 (1.00) |
0.0874 (1.00) |
0.319 (1.00) |
8q loss | 25 (6%) | 379 |
0.428 (1.00) |
0.629 (1.00) |
0.854 (1.00) |
0.199 (1.00) |
0.719 (1.00) |
0.748 (1.00) |
0.371 (1.00) |
1 (1.00) |
0.602 (1.00) |
0.00535 (1.00) |
0.0718 (1.00) |
0.739 (1.00) |
9p loss | 138 (34%) | 266 |
0.09 (1.00) |
0.984 (1.00) |
0.765 (1.00) |
0.654 (1.00) |
0.615 (1.00) |
0.691 (1.00) |
0.299 (1.00) |
0.129 (1.00) |
0.793 (1.00) |
0.00488 (1.00) |
0.886 (1.00) |
0.883 (1.00) |
9q loss | 63 (16%) | 341 |
0.328 (1.00) |
0.983 (1.00) |
0.788 (1.00) |
0.315 (1.00) |
0.77 (1.00) |
0.619 (1.00) |
1 (1.00) |
0.659 (1.00) |
0.604 (1.00) |
0.22 (1.00) |
0.825 (1.00) |
0.432 (1.00) |
10p loss | 125 (31%) | 279 |
0.0244 (1.00) |
0.575 (1.00) |
0.424 (1.00) |
0.18 (1.00) |
0.384 (1.00) |
0.563 (1.00) |
0.191 (1.00) |
0.243 (1.00) |
0.344 (1.00) |
0.85 (1.00) |
0.864 (1.00) |
0.429 (1.00) |
10q loss | 84 (21%) | 320 |
0.37 (1.00) |
0.281 (1.00) |
0.295 (1.00) |
0.668 (1.00) |
0.183 (1.00) |
0.662 (1.00) |
0.105 (1.00) |
0.486 (1.00) |
0.166 (1.00) |
0.591 (1.00) |
0.0774 (1.00) |
0.501 (1.00) |
11p loss | 105 (26%) | 299 |
0.0402 (1.00) |
0.798 (1.00) |
0.0942 (1.00) |
0.914 (1.00) |
0.013 (1.00) |
0.832 (1.00) |
0.212 (1.00) |
0.743 (1.00) |
0.67 (1.00) |
0.239 (1.00) |
0.738 (1.00) |
0.152 (1.00) |
11q loss | 129 (32%) | 275 |
0.159 (1.00) |
0.202 (1.00) |
0.382 (1.00) |
0.936 (1.00) |
0.106 (1.00) |
0.241 (1.00) |
0.00212 (1.00) |
1 (1.00) |
0.139 (1.00) |
0.279 (1.00) |
0.344 (1.00) |
0.306 (1.00) |
12p loss | 27 (7%) | 377 |
0.0143 (1.00) |
0.0751 (1.00) |
0.69 (1.00) |
0.268 (1.00) |
0.581 (1.00) |
1 (1.00) |
0.378 (1.00) |
1 (1.00) |
0.801 (1.00) |
0.148 (1.00) |
0.134 (1.00) |
0.63 (1.00) |
12q loss | 23 (6%) | 381 |
0.545 (1.00) |
0.361 (1.00) |
0.662 (1.00) |
0.0732 (1.00) |
0.929 (1.00) |
0.694 (1.00) |
1 (1.00) |
1 (1.00) |
0.59 (1.00) |
0.678 (1.00) |
0.512 (1.00) |
0.771 (1.00) |
13q loss | 127 (31%) | 277 |
0.628 (1.00) |
0.361 (1.00) |
0.199 (1.00) |
0.253 (1.00) |
0.455 (1.00) |
0.844 (1.00) |
0.636 (1.00) |
0.336 (1.00) |
0.893 (1.00) |
0.125 (1.00) |
0.304 (1.00) |
0.369 (1.00) |
14q loss | 36 (9%) | 368 |
0.206 (1.00) |
0.889 (1.00) |
0.45 (1.00) |
0.176 (1.00) |
0.894 (1.00) |
1 (1.00) |
0.248 (1.00) |
1 (1.00) |
0.382 (1.00) |
0.508 (1.00) |
0.963 (1.00) |
0.005 (1.00) |
15q loss | 74 (18%) | 330 |
0.0842 (1.00) |
0.0942 (1.00) |
0.856 (1.00) |
0.338 (1.00) |
0.429 (1.00) |
0.212 (1.00) |
0.887 (1.00) |
0.173 (1.00) |
0.259 (1.00) |
0.676 (1.00) |
0.479 (1.00) |
0.383 (1.00) |
16p loss | 47 (12%) | 357 |
0.0817 (1.00) |
0.0165 (1.00) |
0.802 (1.00) |
0.295 (1.00) |
0.132 (1.00) |
0.295 (1.00) |
0.609 (1.00) |
0.582 (1.00) |
0.119 (1.00) |
0.917 (1.00) |
0.159 (1.00) |
0.893 (1.00) |
16q loss | 59 (15%) | 345 |
0.425 (1.00) |
0.0657 (1.00) |
0.442 (1.00) |
0.655 (1.00) |
0.11 (1.00) |
0.279 (1.00) |
0.16 (1.00) |
0.329 (1.00) |
0.477 (1.00) |
0.665 (1.00) |
0.184 (1.00) |
0.83 (1.00) |
17p loss | 90 (22%) | 314 |
0.363 (1.00) |
0.337 (1.00) |
0.401 (1.00) |
0.831 (1.00) |
0.872 (1.00) |
0.398 (1.00) |
0.51 (1.00) |
1 (1.00) |
0.654 (1.00) |
0.69 (1.00) |
0.525 (1.00) |
0.508 (1.00) |
17q loss | 30 (7%) | 374 |
0.879 (1.00) |
0.856 (1.00) |
0.434 (1.00) |
0.5 (1.00) |
0.346 (1.00) |
0.0792 (1.00) |
1 (1.00) |
0.42 (1.00) |
0.338 (1.00) |
0.747 (1.00) |
0.749 (1.00) |
0.0915 (1.00) |
18p loss | 83 (21%) | 321 |
0.204 (1.00) |
0.472 (1.00) |
0.883 (1.00) |
0.995 (1.00) |
0.224 (1.00) |
1 (1.00) |
0.415 (1.00) |
0.289 (1.00) |
0.877 (1.00) |
0.829 (1.00) |
0.337 (1.00) |
0.88 (1.00) |
18q loss | 171 (42%) | 233 |
0.088 (1.00) |
0.0798 (1.00) |
0.946 (1.00) |
0.811 (1.00) |
0.486 (1.00) |
0.464 (1.00) |
0.183 (1.00) |
0.223 (1.00) |
0.528 (1.00) |
0.141 (1.00) |
0.00189 (1.00) |
0.251 (1.00) |
19p loss | 77 (19%) | 327 |
0.00212 (1.00) |
0.257 (1.00) |
0.213 (1.00) |
0.292 (1.00) |
0.273 (1.00) |
0.0997 (1.00) |
0.266 (1.00) |
0.676 (1.00) |
0.205 (1.00) |
0.376 (1.00) |
0.0198 (1.00) |
0.598 (1.00) |
19q loss | 65 (16%) | 339 |
0.0921 (1.00) |
0.106 (1.00) |
0.0698 (1.00) |
0.0788 (1.00) |
0.461 (1.00) |
0.31 (1.00) |
0.458 (1.00) |
1 (1.00) |
0.494 (1.00) |
0.949 (1.00) |
0.0459 (1.00) |
0.861 (1.00) |
20p loss | 42 (10%) | 362 |
0.996 (1.00) |
0.931 (1.00) |
0.813 (1.00) |
0.987 (1.00) |
0.407 (1.00) |
0.232 (1.00) |
0.857 (1.00) |
1 (1.00) |
0.686 (1.00) |
0.312 (1.00) |
0.542 (1.00) |
0.871 (1.00) |
20q loss | 25 (6%) | 379 |
0.254 (1.00) |
0.177 (1.00) |
0.438 (1.00) |
0.72 (1.00) |
0.726 (1.00) |
1 (1.00) |
0.656 (1.00) |
0.363 (1.00) |
0.798 (1.00) |
0.0821 (1.00) |
0.0078 (1.00) |
0.688 (1.00) |
21q loss | 153 (38%) | 251 |
0.304 (1.00) |
0.536 (1.00) |
0.809 (1.00) |
0.141 (1.00) |
0.461 (1.00) |
0.069 (1.00) |
0.734 (1.00) |
0.636 (1.00) |
0.518 (1.00) |
0.327 (1.00) |
0.239 (1.00) |
0.674 (1.00) |
22q loss | 62 (15%) | 342 |
0.899 (1.00) |
0.954 (1.00) |
0.27 (1.00) |
0.383 (1.00) |
0.397 (1.00) |
1 (1.00) |
0.223 (1.00) |
0.658 (1.00) |
0.0827 (1.00) |
0.829 (1.00) |
0.251 (1.00) |
0.00417 (1.00) |
xq loss | 63 (16%) | 341 |
0.225 (1.00) |
0.102 (1.00) |
0.504 (1.00) |
0.067 (1.00) |
0.485 (1.00) |
0.794 (1.00) |
0.172 (1.00) |
0.357 (1.00) |
0.732 (1.00) |
0.162 (1.00) |
0.935 (1.00) |
0.21 (1.00) |
P value = 0.00012 (Fisher's exact test), Q value = 0.12
nPatients | FEMALE | MALE |
---|---|---|
ALL | 116 | 288 |
18P GAIN MUTATED | 12 | 80 |
18P GAIN WILD-TYPE | 104 | 208 |
-
Copy number data file = transformed.cor.cli.txt
-
Clinical data file = HNSC-TP.merged_data.txt
-
Number of patients = 404
-
Number of significantly arm-level cnvs = 80
-
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 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.