(primary solid tumor cohort)
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 results and 7 clinical features across 562 patients, 8 significant findings detected with Q value < 0.25.
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2p gain cnv correlated to 'AGE'.
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3q gain cnv correlated to 'AGE'.
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10p gain cnv correlated to 'AGE'.
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12p gain cnv correlated to 'AGE'.
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12q gain cnv correlated to 'AGE'.
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20p gain cnv correlated to 'AGE'.
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20q gain cnv correlated to 'AGE'.
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9q loss cnv correlated to 'AGE'.
Table 1. Get Full Table Overview of the association between significant copy number variation of 80 arm-level results and 7 clinical features. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, 8 significant findings detected.
Clinical Features |
Time to Death |
AGE |
PRIMARY SITE OF DISEASE |
KARNOFSKY PERFORMANCE SCORE |
TUMOR STAGE |
RADIATIONS RADIATION REGIMENINDICATION |
COMPLETENESS OF RESECTION |
||
nCNV (%) | nWild-Type | logrank test | t-test | Fisher's exact test | t-test | Fisher's exact test | Fisher's exact test | Fisher's exact test | |
2p gain | 128 (23%) | 434 |
0.0293 (1.00) |
2.59e-07 (0.000143) |
1 (1.00) |
0.956 (1.00) |
0.966 (1.00) |
0.54 (1.00) |
1 (1.00) |
3q gain | 205 (36%) | 357 |
0.648 (1.00) |
8.5e-07 (0.000467) |
0.126 (1.00) |
0.671 (1.00) |
0.526 (1.00) |
0.557 (1.00) |
0.0958 (1.00) |
10p gain | 130 (23%) | 432 |
0.205 (1.00) |
1.23e-05 (0.00669) |
0.107 (1.00) |
0.184 (1.00) |
0.863 (1.00) |
1 (1.00) |
0.481 (1.00) |
12p gain | 207 (37%) | 355 |
0.26 (1.00) |
3.85e-08 (2.12e-05) |
0.125 (1.00) |
0.0302 (1.00) |
0.00442 (1.00) |
1 (1.00) |
0.734 (1.00) |
12q gain | 122 (22%) | 440 |
0.102 (1.00) |
1.57e-06 (0.000858) |
0.615 (1.00) |
0.0312 (1.00) |
0.062 (1.00) |
0.521 (1.00) |
0.494 (1.00) |
20p gain | 233 (41%) | 329 |
0.142 (1.00) |
3.18e-06 (0.00174) |
1 (1.00) |
0.105 (1.00) |
0.193 (1.00) |
0.573 (1.00) |
1 (1.00) |
20q gain | 272 (48%) | 290 |
0.108 (1.00) |
1.11e-06 (0.000609) |
1 (1.00) |
0.229 (1.00) |
0.0814 (1.00) |
0.613 (1.00) |
1 (1.00) |
9q loss | 240 (43%) | 322 |
0.552 (1.00) |
4.08e-06 (0.00222) |
0.152 (1.00) |
0.779 (1.00) |
0.245 (1.00) |
0.578 (1.00) |
0.734 (1.00) |
1p gain | 104 (19%) | 458 |
0.0866 (1.00) |
0.843 (1.00) |
0.155 (1.00) |
0.126 (1.00) |
0.125 (1.00) |
0.0896 (1.00) |
0.0785 (1.00) |
1q gain | 160 (28%) | 402 |
0.286 (1.00) |
0.0355 (1.00) |
0.068 (1.00) |
0.0331 (1.00) |
0.134 (1.00) |
1 (1.00) |
1 (1.00) |
2q gain | 102 (18%) | 460 |
0.104 (1.00) |
0.000536 (0.291) |
1 (1.00) |
0.69 (1.00) |
0.664 (1.00) |
0.0864 (1.00) |
1 (1.00) |
3p gain | 109 (19%) | 453 |
0.426 (1.00) |
0.0356 (1.00) |
0.575 (1.00) |
0.73 (1.00) |
0.814 (1.00) |
1 (1.00) |
0.447 (1.00) |
4p gain | 31 (6%) | 531 |
0.272 (1.00) |
0.579 (1.00) |
1 (1.00) |
0.921 (1.00) |
0.782 (1.00) |
1 (1.00) |
1 (1.00) |
4q gain | 16 (3%) | 546 |
0.23 (1.00) |
0.0447 (1.00) |
1 (1.00) |
0.921 (1.00) |
0.795 (1.00) |
1 (1.00) |
|
5p gain | 144 (26%) | 418 |
0.465 (1.00) |
0.243 (1.00) |
0.124 (1.00) |
0.791 (1.00) |
0.879 (1.00) |
1 (1.00) |
0.447 (1.00) |
5q gain | 33 (6%) | 529 |
0.314 (1.00) |
0.939 (1.00) |
0.207 (1.00) |
0.137 (1.00) |
0.874 (1.00) |
1 (1.00) |
0.146 (1.00) |
6p gain | 120 (21%) | 442 |
0.389 (1.00) |
0.00647 (1.00) |
0.619 (1.00) |
0.0337 (1.00) |
0.0534 (1.00) |
1 (1.00) |
1 (1.00) |
6q gain | 62 (11%) | 500 |
0.523 (1.00) |
0.0526 (1.00) |
1 (1.00) |
0.195 (1.00) |
0.00942 (1.00) |
1 (1.00) |
0.596 (1.00) |
7p gain | 124 (22%) | 438 |
0.193 (1.00) |
0.00159 (0.861) |
1 (1.00) |
0.292 (1.00) |
0.485 (1.00) |
1 (1.00) |
1 (1.00) |
7q gain | 150 (27%) | 412 |
0.178 (1.00) |
0.0111 (1.00) |
0.711 (1.00) |
0.276 (1.00) |
0.189 (1.00) |
0.568 (1.00) |
0.747 (1.00) |
8p gain | 86 (15%) | 476 |
0.0775 (1.00) |
0.678 (1.00) |
1 (1.00) |
0.894 (1.00) |
0.429 (1.00) |
0.393 (1.00) |
1 (1.00) |
8q gain | 203 (36%) | 359 |
0.18 (1.00) |
0.601 (1.00) |
0.249 (1.00) |
0.88 (1.00) |
0.265 (1.00) |
1 (1.00) |
0.0636 (1.00) |
9p gain | 59 (10%) | 503 |
0.754 (1.00) |
0.77 (1.00) |
1 (1.00) |
0.95 (1.00) |
0.694 (1.00) |
1 (1.00) |
0.596 (1.00) |
9q gain | 27 (5%) | 535 |
0.937 (1.00) |
0.73 (1.00) |
1 (1.00) |
0.446 (1.00) |
1 (1.00) |
1 (1.00) |
|
10q gain | 67 (12%) | 495 |
0.444 (1.00) |
0.0163 (1.00) |
0.405 (1.00) |
0.403 (1.00) |
0.393 (1.00) |
1 (1.00) |
0.389 (1.00) |
11p gain | 40 (7%) | 522 |
0.584 (1.00) |
0.845 (1.00) |
1 (1.00) |
0.852 (1.00) |
0.12 (1.00) |
1 (1.00) |
1 (1.00) |
11q gain | 61 (11%) | 501 |
0.285 (1.00) |
0.466 (1.00) |
1 (1.00) |
0.566 (1.00) |
0.268 (1.00) |
1 (1.00) |
0.28 (1.00) |
13q gain | 41 (7%) | 521 |
0.719 (1.00) |
0.0197 (1.00) |
1 (1.00) |
0.476 (1.00) |
0.323 (1.00) |
0.204 (1.00) |
1 (1.00) |
14q gain | 33 (6%) | 529 |
0.302 (1.00) |
0.792 (1.00) |
1 (1.00) |
0.497 (1.00) |
0.538 (1.00) |
0.166 (1.00) |
0.28 (1.00) |
15q gain | 25 (4%) | 537 |
0.865 (1.00) |
0.356 (1.00) |
1 (1.00) |
0.032 (1.00) |
1 (1.00) |
0.539 (1.00) |
|
16p gain | 31 (6%) | 531 |
0.621 (1.00) |
0.473 (1.00) |
1 (1.00) |
0.232 (1.00) |
0.189 (1.00) |
1 (1.00) |
0.107 (1.00) |
16q gain | 16 (3%) | 546 |
0.672 (1.00) |
0.748 (1.00) |
1 (1.00) |
0.359 (1.00) |
1 (1.00) |
0.265 (1.00) |
|
17p gain | 11 (2%) | 551 |
0.162 (1.00) |
0.0789 (1.00) |
1 (1.00) |
0.767 (1.00) |
0.564 (1.00) |
1 (1.00) |
|
17q gain | 23 (4%) | 539 |
0.0971 (1.00) |
0.177 (1.00) |
1 (1.00) |
0.614 (1.00) |
0.575 (1.00) |
1 (1.00) |
|
18p gain | 74 (13%) | 488 |
0.155 (1.00) |
0.167 (1.00) |
1 (1.00) |
0.341 (1.00) |
0.0089 (1.00) |
1 (1.00) |
0.673 (1.00) |
18q gain | 41 (7%) | 521 |
0.332 (1.00) |
0.343 (1.00) |
1 (1.00) |
0.252 (1.00) |
0.0783 (1.00) |
0.204 (1.00) |
1 (1.00) |
19p gain | 98 (17%) | 464 |
0.318 (1.00) |
0.0149 (1.00) |
1 (1.00) |
0.996 (1.00) |
0.261 (1.00) |
0.438 (1.00) |
0.393 (1.00) |
19q gain | 91 (16%) | 471 |
0.139 (1.00) |
0.015 (1.00) |
1 (1.00) |
0.649 (1.00) |
0.286 (1.00) |
0.412 (1.00) |
0.317 (1.00) |
21q gain | 70 (12%) | 492 |
0.00569 (1.00) |
0.0138 (1.00) |
0.405 (1.00) |
0.566 (1.00) |
0.868 (1.00) |
1 (1.00) |
0.389 (1.00) |
22q gain | 9 (2%) | 553 |
0.593 (1.00) |
0.294 (1.00) |
1 (1.00) |
0.391 (1.00) |
1 (1.00) |
1 (1.00) |
|
Xq gain | 34 (6%) | 528 |
0.0927 (1.00) |
0.206 (1.00) |
1 (1.00) |
0.137 (1.00) |
0.975 (1.00) |
1 (1.00) |
1 (1.00) |
1p loss | 34 (6%) | 528 |
0.85 (1.00) |
0.418 (1.00) |
1 (1.00) |
0.296 (1.00) |
0.709 (1.00) |
0.171 (1.00) |
1 (1.00) |
1q loss | 22 (4%) | 540 |
0.338 (1.00) |
0.0896 (1.00) |
1 (1.00) |
0.22 (1.00) |
0.361 (1.00) |
0.113 (1.00) |
|
2p loss | 26 (5%) | 536 |
0.587 (1.00) |
0.835 (1.00) |
1 (1.00) |
0.0731 (1.00) |
0.474 (1.00) |
1 (1.00) |
1 (1.00) |
2q loss | 30 (5%) | 532 |
0.729 (1.00) |
0.461 (1.00) |
0.201 (1.00) |
0.0731 (1.00) |
0.344 (1.00) |
1 (1.00) |
0.539 (1.00) |
3p loss | 59 (10%) | 503 |
0.247 (1.00) |
0.137 (1.00) |
0.365 (1.00) |
0.321 (1.00) |
0.695 (1.00) |
0.283 (1.00) |
0.265 (1.00) |
3q loss | 23 (4%) | 539 |
0.139 (1.00) |
0.837 (1.00) |
0.157 (1.00) |
0.607 (1.00) |
0.173 (1.00) |
0.118 (1.00) |
0.341 (1.00) |
4p loss | 259 (46%) | 303 |
0.248 (1.00) |
0.344 (1.00) |
0.166 (1.00) |
0.106 (1.00) |
0.369 (1.00) |
0.597 (1.00) |
1 (1.00) |
4q loss | 300 (53%) | 262 |
0.394 (1.00) |
0.195 (1.00) |
0.751 (1.00) |
0.952 (1.00) |
0.256 (1.00) |
1 (1.00) |
1 (1.00) |
5p loss | 83 (15%) | 479 |
0.275 (1.00) |
0.0305 (1.00) |
0.475 (1.00) |
0.227 (1.00) |
0.332 (1.00) |
1 (1.00) |
1 (1.00) |
5q loss | 170 (30%) | 392 |
0.512 (1.00) |
0.135 (1.00) |
0.353 (1.00) |
0.42 (1.00) |
0.279 (1.00) |
1 (1.00) |
1 (1.00) |
6p loss | 125 (22%) | 437 |
0.102 (1.00) |
0.0049 (1.00) |
0.633 (1.00) |
0.647 (1.00) |
0.453 (1.00) |
0.531 (1.00) |
0.389 (1.00) |
6q loss | 194 (35%) | 368 |
0.402 (1.00) |
0.00693 (1.00) |
0.116 (1.00) |
0.309 (1.00) |
0.374 (1.00) |
1 (1.00) |
1 (1.00) |
7p loss | 90 (16%) | 472 |
0.114 (1.00) |
0.976 (1.00) |
0.506 (1.00) |
0.0336 (1.00) |
0.166 (1.00) |
1 (1.00) |
0.107 (1.00) |
7q loss | 48 (9%) | 514 |
0.0369 (1.00) |
0.244 (1.00) |
0.306 (1.00) |
0.00339 (1.00) |
0.939 (1.00) |
0.235 (1.00) |
0.111 (1.00) |
8p loss | 232 (41%) | 330 |
0.309 (1.00) |
0.0318 (1.00) |
0.146 (1.00) |
0.0388 (1.00) |
0.421 (1.00) |
1 (1.00) |
1 (1.00) |
8q loss | 62 (11%) | 500 |
0.367 (1.00) |
0.0263 (1.00) |
1 (1.00) |
0.331 (1.00) |
0.0258 (1.00) |
1 (1.00) |
0.596 (1.00) |
9p loss | 212 (38%) | 350 |
0.619 (1.00) |
0.0356 (1.00) |
0.13 (1.00) |
0.479 (1.00) |
0.483 (1.00) |
0.56 (1.00) |
0.307 (1.00) |
10p loss | 66 (12%) | 496 |
0.673 (1.00) |
0.182 (1.00) |
1 (1.00) |
0.753 (1.00) |
0.854 (1.00) |
0.313 (1.00) |
0.673 (1.00) |
10q loss | 90 (16%) | 472 |
0.967 (1.00) |
0.336 (1.00) |
1 (1.00) |
0.809 (1.00) |
0.46 (1.00) |
0.00399 (1.00) |
1 (1.00) |
11p loss | 144 (26%) | 418 |
0.635 (1.00) |
0.0358 (1.00) |
1 (1.00) |
0.741 (1.00) |
0.458 (1.00) |
1 (1.00) |
1 (1.00) |
11q loss | 108 (19%) | 454 |
0.872 (1.00) |
0.146 (1.00) |
0.575 (1.00) |
0.17 (1.00) |
0.349 (1.00) |
0.473 (1.00) |
0.645 (1.00) |
12p loss | 50 (9%) | 512 |
0.8 (1.00) |
0.115 (1.00) |
1 (1.00) |
0.113 (1.00) |
0.0223 (1.00) |
1 (1.00) |
0.539 (1.00) |
12q loss | 74 (13%) | 488 |
0.304 (1.00) |
0.429 (1.00) |
1 (1.00) |
0.695 (1.00) |
0.00584 (1.00) |
1 (1.00) |
1 (1.00) |
13q loss | 257 (46%) | 305 |
0.326 (1.00) |
0.865 (1.00) |
0.458 (1.00) |
0.683 (1.00) |
0.167 (1.00) |
1 (1.00) |
1 (1.00) |
14q loss | 162 (29%) | 400 |
0.434 (1.00) |
0.115 (1.00) |
1 (1.00) |
0.706 (1.00) |
0.0474 (1.00) |
0.561 (1.00) |
1 (1.00) |
15q loss | 216 (38%) | 346 |
0.826 (1.00) |
0.0516 (1.00) |
0.273 (1.00) |
0.65 (1.00) |
0.128 (1.00) |
0.562 (1.00) |
1 (1.00) |
16p loss | 268 (48%) | 294 |
0.132 (1.00) |
0.953 (1.00) |
0.473 (1.00) |
0.259 (1.00) |
0.181 (1.00) |
0.608 (1.00) |
0.332 (1.00) |
16q loss | 356 (63%) | 206 |
0.194 (1.00) |
0.00367 (1.00) |
0.782 (1.00) |
0.0536 (1.00) |
0.344 (1.00) |
1 (1.00) |
1 (1.00) |
17p loss | 424 (75%) | 138 |
0.949 (1.00) |
0.0147 (1.00) |
0.255 (1.00) |
0.883 (1.00) |
0.136 (1.00) |
0.571 (1.00) |
0.712 (1.00) |
17q loss | 328 (58%) | 234 |
0.491 (1.00) |
0.0597 (1.00) |
1 (1.00) |
0.0547 (1.00) |
0.661 (1.00) |
0.27 (1.00) |
1 (1.00) |
18p loss | 183 (33%) | 379 |
0.483 (1.00) |
0.883 (1.00) |
0.795 (1.00) |
0.752 (1.00) |
0.107 (1.00) |
0.249 (1.00) |
1 (1.00) |
18q loss | 233 (41%) | 329 |
0.51 (1.00) |
0.798 (1.00) |
0.765 (1.00) |
0.65 (1.00) |
0.411 (1.00) |
0.573 (1.00) |
0.742 (1.00) |
19p loss | 143 (25%) | 419 |
0.88 (1.00) |
0.124 (1.00) |
0.691 (1.00) |
0.485 (1.00) |
0.567 (1.00) |
1 (1.00) |
0.123 (1.00) |
19q loss | 143 (25%) | 419 |
0.758 (1.00) |
0.756 (1.00) |
0.691 (1.00) |
0.407 (1.00) |
0.771 (1.00) |
0.574 (1.00) |
0.131 (1.00) |
20p loss | 37 (7%) | 525 |
0.0307 (1.00) |
0.203 (1.00) |
1 (1.00) |
0.00339 (1.00) |
0.806 (1.00) |
0.185 (1.00) |
0.111 (1.00) |
20q loss | 22 (4%) | 540 |
0.0406 (1.00) |
0.786 (1.00) |
1 (1.00) |
0.00339 (1.00) |
0.632 (1.00) |
1 (1.00) |
|
21q loss | 148 (26%) | 414 |
0.68 (1.00) |
0.921 (1.00) |
1 (1.00) |
0.508 (1.00) |
0.519 (1.00) |
1 (1.00) |
0.692 (1.00) |
22q loss | 385 (69%) | 177 |
0.246 (1.00) |
0.211 (1.00) |
0.382 (1.00) |
0.954 (1.00) |
0.176 (1.00) |
0.555 (1.00) |
0.105 (1.00) |
Xq loss | 100 (18%) | 462 |
0.244 (1.00) |
0.712 (1.00) |
0.548 (1.00) |
0.485 (1.00) |
0.881 (1.00) |
1 (1.00) |
0.205 (1.00) |
P value = 2.59e-07 (t-test), Q value = 0.00014
Table S1. Gene #3: '2p gain mutation analysis' versus Clinical Feature #2: 'AGE'
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 541 | 59.8 (11.6) |
2P GAIN MUTATED | 122 | 64.5 (11.0) |
2P GAIN WILD-TYPE | 419 | 58.4 (11.4) |
Figure S1. Get High-res Image Gene #3: '2p gain mutation analysis' versus Clinical Feature #2: 'AGE'
![](D3V2.png)
P value = 8.5e-07 (t-test), Q value = 0.00047
Table S2. Gene #6: '3q gain mutation analysis' versus Clinical Feature #2: 'AGE'
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 541 | 59.8 (11.6) |
3Q GAIN MUTATED | 199 | 63.0 (11.1) |
3Q GAIN WILD-TYPE | 342 | 58.0 (11.5) |
Figure S2. Get High-res Image Gene #6: '3q gain mutation analysis' versus Clinical Feature #2: 'AGE'
![](D6V2.png)
P value = 1.23e-05 (t-test), Q value = 0.0067
Table S3. Gene #19: '10p gain mutation analysis' versus Clinical Feature #2: 'AGE'
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 541 | 59.8 (11.6) |
10P GAIN MUTATED | 126 | 63.6 (10.6) |
10P GAIN WILD-TYPE | 415 | 58.7 (11.7) |
Figure S3. Get High-res Image Gene #19: '10p gain mutation analysis' versus Clinical Feature #2: 'AGE'
![](D19V2.png)
P value = 3.85e-08 (t-test), Q value = 2.1e-05
Table S4. Gene #23: '12p gain mutation analysis' versus Clinical Feature #2: 'AGE'
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 541 | 59.8 (11.6) |
12P GAIN MUTATED | 196 | 63.4 (11.2) |
12P GAIN WILD-TYPE | 345 | 57.8 (11.4) |
Figure S4. Get High-res Image Gene #23: '12p gain mutation analysis' versus Clinical Feature #2: 'AGE'
![](D23V2.png)
P value = 1.57e-06 (t-test), Q value = 0.00086
Table S5. Gene #24: '12q gain mutation analysis' versus Clinical Feature #2: 'AGE'
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 541 | 59.8 (11.6) |
12Q GAIN MUTATED | 113 | 64.3 (10.7) |
12Q GAIN WILD-TYPE | 428 | 58.6 (11.6) |
Figure S5. Get High-res Image Gene #24: '12q gain mutation analysis' versus Clinical Feature #2: 'AGE'
![](D24V2.png)
P value = 3.18e-06 (t-test), Q value = 0.0017
Table S6. Gene #36: '20p gain mutation analysis' versus Clinical Feature #2: 'AGE'
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 541 | 59.8 (11.6) |
20P GAIN MUTATED | 225 | 62.5 (11.4) |
20P GAIN WILD-TYPE | 316 | 57.9 (11.4) |
Figure S6. Get High-res Image Gene #36: '20p gain mutation analysis' versus Clinical Feature #2: 'AGE'
![](D36V2.png)
P value = 1.11e-06 (t-test), Q value = 0.00061
Table S7. Gene #37: '20q gain mutation analysis' versus Clinical Feature #2: 'AGE'
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 541 | 59.8 (11.6) |
20Q GAIN MUTATED | 262 | 62.3 (11.7) |
20Q GAIN WILD-TYPE | 279 | 57.5 (11.0) |
Figure S7. Get High-res Image Gene #37: '20q gain mutation analysis' versus Clinical Feature #2: 'AGE'
![](D37V2.png)
P value = 4.08e-06 (t-test), Q value = 0.0022
Table S8. Gene #58: '9q loss mutation analysis' versus Clinical Feature #2: 'AGE'
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 541 | 59.8 (11.6) |
9Q LOSS MUTATED | 229 | 62.5 (11.3) |
9Q LOSS WILD-TYPE | 312 | 57.8 (11.5) |
Figure S8. Get High-res Image Gene #58: '9q loss mutation analysis' versus Clinical Feature #2: 'AGE'
![](D58V2.png)
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Mutation data file = broad_values_by_arm.mutsig.cluster.txt
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Clinical data file = OV-TP.clin.merged.picked.txt
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Number of patients = 562
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Number of significantly arm-level cnvs = 80
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Number of selected clinical features = 7
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Exclude genes 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.
This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.