Breast Invasive Carcinoma: Correlation between copy number variations of arm-level result and selected clinical features
(primary solid tumor cohort)
(primary solid tumor cohort)
Maintained by TCGA GDAC Team
(Broad Institute/MD Anderson Cancer Center/Harvard Medical School)
Overview
Introduction
This pipeline computes the correlation between significant arm-level copy number variations (cnvs) and selected clinical features.
Summary
Testing the association between copy number variation 80 arm-level results and 9 clinical features across 857 patients, no significant finding detected with Q value < 0.25.
-
No arm-level cnvs related to clinical features.
Results
Overview of the results
Table 1. Get Full Table Overview of the association between significant copy number variation of 80 arm-level results and 9 clinical features. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, no significant finding detected.
|
Clinical Features |
Time to Death |
AGE | GENDER |
RADIATIONS RADIATION REGIMENINDICATION |
DISTANT METASTASIS |
LYMPH NODE METASTASIS |
NUMBER OF LYMPH NODES |
TUMOR STAGECODE |
NEOPLASM DISEASESTAGE |
||
| nCNV (%) | nWild-Type | logrank test | t-test | Fisher's exact test | Fisher's exact test | Fisher's exact test | Chi-square test | t-test | t-test | Chi-square test | |
| 1p gain | 91 (11%) | 766 |
0.183 (1.00) |
0.513 (1.00) |
1 (1.00) |
0.0202 (1.00) |
0.787 (1.00) |
0.569 (1.00) |
0.719 (1.00) |
0.884 (1.00) |
|
| 1q gain | 459 (54%) | 398 |
0.07 (1.00) |
0.241 (1.00) |
1 (1.00) |
0.427 (1.00) |
0.695 (1.00) |
0.666 (1.00) |
0.573 (1.00) |
0.418 (1.00) |
|
| 2p gain | 48 (6%) | 809 |
0.784 (1.00) |
0.697 (1.00) |
1 (1.00) |
0.302 (1.00) |
0.345 (1.00) |
0.898 (1.00) |
0.401 (1.00) |
0.302 (1.00) |
|
| 2q gain | 25 (3%) | 832 |
0.97 (1.00) |
0.949 (1.00) |
1 (1.00) |
0.0158 (1.00) |
0.416 (1.00) |
0.648 (1.00) |
0.272 (1.00) |
0.787 (1.00) |
|
| 3p gain | 54 (6%) | 803 |
0.534 (1.00) |
0.0359 (1.00) |
1 (1.00) |
1 (1.00) |
0.423 (1.00) |
0.474 (1.00) |
0.491 (1.00) |
0.111 (1.00) |
|
| 3q gain | 95 (11%) | 762 |
0.177 (1.00) |
0.529 (1.00) |
0.608 (1.00) |
1 (1.00) |
0.445 (1.00) |
0.388 (1.00) |
0.174 (1.00) |
0.134 (1.00) |
|
| 4p gain | 29 (3%) | 828 |
0.0662 (1.00) |
0.477 (1.00) |
1 (1.00) |
0.511 (1.00) |
0.168 (1.00) |
0.788 (1.00) |
0.852 (1.00) |
0.0016 (1.00) |
|
| 4q gain | 27 (3%) | 830 |
0.0247 (1.00) |
0.353 (1.00) |
1 (1.00) |
1 (1.00) |
0.202 (1.00) |
0.753 (1.00) |
0.689 (1.00) |
0.00246 (1.00) |
|
| 5p gain | 162 (19%) | 695 |
0.173 (1.00) |
0.0573 (1.00) |
0.681 (1.00) |
0.188 (1.00) |
0.466 (1.00) |
0.315 (1.00) |
0.464 (1.00) |
0.826 (1.00) |
|
| 5q gain | 99 (12%) | 758 |
0.35 (1.00) |
0.0052 (1.00) |
1 (1.00) |
0.267 (1.00) |
0.358 (1.00) |
0.806 (1.00) |
0.866 (1.00) |
0.93 (1.00) |
|
| 6p gain | 93 (11%) | 764 |
0.831 (1.00) |
0.273 (1.00) |
1 (1.00) |
0.00726 (1.00) |
0.41 (1.00) |
0.86 (1.00) |
0.607 (1.00) |
0.629 (1.00) |
|
| 6q gain | 56 (7%) | 801 |
0.294 (1.00) |
0.0699 (1.00) |
0.457 (1.00) |
0.522 (1.00) |
0.342 (1.00) |
0.442 (1.00) |
0.962 (1.00) |
0.744 (1.00) |
|
| 7p gain | 152 (18%) | 705 |
0.859 (1.00) |
0.0902 (1.00) |
0.0113 (1.00) |
0.0127 (1.00) |
0.334 (1.00) |
0.374 (1.00) |
0.416 (1.00) |
0.896 (1.00) |
|
| 7q gain | 110 (13%) | 747 |
0.496 (1.00) |
0.63 (1.00) |
0.0969 (1.00) |
0.0129 (1.00) |
0.909 (1.00) |
0.405 (1.00) |
0.383 (1.00) |
0.934 (1.00) |
|
| 8p gain | 166 (19%) | 691 |
0.909 (1.00) |
0.0981 (1.00) |
0.688 (1.00) |
0.92 (1.00) |
0.798 (1.00) |
0.83 (1.00) |
0.773 (1.00) |
0.746 (1.00) |
|
| 8q gain | 368 (43%) | 489 |
0.77 (1.00) |
0.032 (1.00) |
0.509 (1.00) |
0.129 (1.00) |
0.457 (1.00) |
0.246 (1.00) |
0.917 (1.00) |
0.617 (1.00) |
|
| 9p gain | 65 (8%) | 792 |
0.506 (1.00) |
0.539 (1.00) |
1 (1.00) |
0.235 (1.00) |
0.6 (1.00) |
0.131 (1.00) |
0.284 (1.00) |
0.15 (1.00) |
|
| 9q gain | 54 (6%) | 803 |
0.432 (1.00) |
0.25 (1.00) |
1 (1.00) |
0.143 (1.00) |
0.936 (1.00) |
0.381 (1.00) |
0.434 (1.00) |
0.695 (1.00) |
|
| 10p gain | 106 (12%) | 751 |
0.778 (1.00) |
0.838 (1.00) |
0.611 (1.00) |
0.279 (1.00) |
0.109 (1.00) |
0.603 (1.00) |
0.113 (1.00) |
0.00633 (1.00) |
|
| 10q gain | 44 (5%) | 813 |
0.791 (1.00) |
0.347 (1.00) |
1 (1.00) |
0.282 (1.00) |
0.837 (1.00) |
0.898 (1.00) |
0.919 (1.00) |
0.829 (1.00) |
|
| 11p gain | 64 (7%) | 793 |
0.617 (1.00) |
0.735 (1.00) |
0.504 (1.00) |
0.763 (1.00) |
1 (1.00) |
0.828 (1.00) |
0.4 (1.00) |
0.0413 (1.00) |
|
| 11q gain | 45 (5%) | 812 |
0.0481 (1.00) |
0.848 (1.00) |
1 (1.00) |
0.725 (1.00) |
0.917 (1.00) |
0.35 (1.00) |
0.998 (1.00) |
0.0394 (1.00) |
|
| 12p gain | 112 (13%) | 745 |
0.765 (1.00) |
0.562 (1.00) |
0.0206 (1.00) |
0.24 (1.00) |
0.312 (1.00) |
0.714 (1.00) |
0.788 (1.00) |
0.891 (1.00) |
|
| 12q gain | 85 (10%) | 772 |
0.156 (1.00) |
0.198 (1.00) |
0.0509 (1.00) |
0.291 (1.00) |
0.0347 (1.00) |
0.829 (1.00) |
0.866 (1.00) |
0.949 (1.00) |
|
| 13q gain | 45 (5%) | 812 |
0.825 (1.00) |
0.988 (1.00) |
1 (1.00) |
0.725 (1.00) |
0.0673 (1.00) |
0.825 (1.00) |
0.0681 (1.00) |
0.946 (1.00) |
|
| 14q gain | 75 (9%) | 782 |
0.161 (1.00) |
0.445 (1.00) |
1 (1.00) |
0.329 (1.00) |
1 (1.00) |
0.244 (1.00) |
0.0333 (1.00) |
0.0551 (1.00) |
|
| 15q gain | 44 (5%) | 813 |
0.652 (1.00) |
0.625 (1.00) |
0.379 (1.00) |
0.152 (1.00) |
0.472 (1.00) |
0.941 (1.00) |
0.613 (1.00) |
0.91 (1.00) |
|
| 16p gain | 245 (29%) | 612 |
0.626 (1.00) |
0.0278 (1.00) |
1 (1.00) |
0.19 (1.00) |
0.58 (1.00) |
0.115 (1.00) |
0.0821 (1.00) |
0.165 (1.00) |
|
| 16q gain | 53 (6%) | 804 |
0.177 (1.00) |
0.773 (1.00) |
0.439 (1.00) |
0.87 (1.00) |
0.0761 (1.00) |
0.62 (1.00) |
0.992 (1.00) |
0.0244 (1.00) |
|
| 17p gain | 46 (5%) | 811 |
0.667 (1.00) |
0.483 (1.00) |
0.00969 (1.00) |
1 (1.00) |
0.709 (1.00) |
0.887 (1.00) |
0.388 (1.00) |
0.764 (1.00) |
|
| 17q gain | 120 (14%) | 737 |
0.805 (1.00) |
0.655 (1.00) |
0.0262 (1.00) |
0.82 (1.00) |
0.12 (1.00) |
0.755 (1.00) |
0.58 (1.00) |
0.498 (1.00) |
|
| 18p gain | 83 (10%) | 774 |
0.0989 (1.00) |
0.0335 (1.00) |
0.602 (1.00) |
0.06 (1.00) |
0.413 (1.00) |
0.607 (1.00) |
0.685 (1.00) |
0.413 (1.00) |
|
| 18q gain | 74 (9%) | 783 |
0.132 (1.00) |
0.578 (1.00) |
0.558 (1.00) |
0.204 (1.00) |
0.336 (1.00) |
0.894 (1.00) |
0.905 (1.00) |
0.304 (1.00) |
|
| 19p gain | 68 (8%) | 789 |
0.0603 (1.00) |
0.211 (1.00) |
0.156 (1.00) |
0.143 (1.00) |
0.174 (1.00) |
0.863 (1.00) |
0.349 (1.00) |
0.681 (1.00) |
|
| 19q gain | 84 (10%) | 773 |
0.00779 (1.00) |
0.811 (1.00) |
0.218 (1.00) |
0.424 (1.00) |
0.0226 (1.00) |
0.0784 (1.00) |
0.313 (1.00) |
0.82 (1.00) |
|
| 20p gain | 233 (27%) | 624 |
0.0457 (1.00) |
0.107 (1.00) |
0.067 (1.00) |
0.859 (1.00) |
0.14 (1.00) |
0.285 (1.00) |
0.026 (1.00) |
0.274 (1.00) |
|
| 20q gain | 268 (31%) | 589 |
0.141 (1.00) |
0.484 (1.00) |
0.148 (1.00) |
0.67 (1.00) |
0.305 (1.00) |
0.324 (1.00) |
0.0158 (1.00) |
0.117 (1.00) |
|
| 21q gain | 99 (12%) | 758 |
0.0436 (1.00) |
0.0269 (1.00) |
1 (1.00) |
0.0252 (1.00) |
0.64 (1.00) |
0.135 (1.00) |
0.0254 (1.00) |
0.181 (1.00) |
|
| 22q gain | 40 (5%) | 817 |
0.808 (1.00) |
0.405 (1.00) |
1 (1.00) |
0.576 (1.00) |
1 (1.00) |
0.19 (1.00) |
0.725 (1.00) |
0.112 (1.00) |
|
| Xq gain | 20 (2%) | 837 |
0.118 (1.00) |
0.11 (1.00) |
1 (1.00) |
0.297 (1.00) |
0.101 (1.00) |
0.0117 (1.00) |
0.604 (1.00) |
0.148 (1.00) |
|
| 1p loss | 116 (14%) | 741 |
0.14 (1.00) |
0.00937 (1.00) |
1 (1.00) |
0.42 (1.00) |
0.334 (1.00) |
0.0472 (1.00) |
0.0687 (1.00) |
0.0103 (1.00) |
|
| 1q loss | 21 (2%) | 836 |
0.627 (1.00) |
0.698 (1.00) |
1 (1.00) |
1 (1.00) |
0.812 (1.00) |
0.956 (1.00) |
0.625 (1.00) |
0.989 (1.00) |
|
| 2p loss | 73 (9%) | 784 |
0.826 (1.00) |
0.458 (1.00) |
1 (1.00) |
0.159 (1.00) |
0.224 (1.00) |
0.652 (1.00) |
0.398 (1.00) |
0.357 (1.00) |
|
| 2q loss | 87 (10%) | 770 |
0.642 (1.00) |
0.674 (1.00) |
0.61 (1.00) |
0.24 (1.00) |
0.175 (1.00) |
0.63 (1.00) |
0.362 (1.00) |
0.141 (1.00) |
|
| 3p loss | 88 (10%) | 769 |
0.0356 (1.00) |
0.0497 (1.00) |
0.609 (1.00) |
0.434 (1.00) |
0.453 (1.00) |
0.999 (1.00) |
0.453 (1.00) |
0.758 (1.00) |
|
| 3q loss | 43 (5%) | 814 |
0.231 (1.00) |
0.0868 (1.00) |
1 (1.00) |
0.068 (1.00) |
0.238 (1.00) |
0.736 (1.00) |
0.699 (1.00) |
0.767 (1.00) |
|
| 4p loss | 178 (21%) | 679 |
0.45 (1.00) |
0.252 (1.00) |
1 (1.00) |
0.12 (1.00) |
0.947 (1.00) |
0.362 (1.00) |
0.53 (1.00) |
0.505 (1.00) |
|
| 4q loss | 150 (18%) | 707 |
0.477 (1.00) |
0.966 (1.00) |
0.373 (1.00) |
0.466 (1.00) |
0.875 (1.00) |
0.134 (1.00) |
0.938 (1.00) |
0.491 (1.00) |
|
| 5p loss | 68 (8%) | 789 |
0.139 (1.00) |
0.106 (1.00) |
0.527 (1.00) |
0.884 (1.00) |
0.448 (1.00) |
0.181 (1.00) |
0.818 (1.00) |
0.12 (1.00) |
|
| 5q loss | 119 (14%) | 738 |
0.306 (1.00) |
0.118 (1.00) |
0.621 (1.00) |
0.647 (1.00) |
0.753 (1.00) |
0.182 (1.00) |
0.206 (1.00) |
0.115 (1.00) |
|
| 6p loss | 109 (13%) | 748 |
0.254 (1.00) |
0.128 (1.00) |
0.613 (1.00) |
0.343 (1.00) |
0.115 (1.00) |
0.764 (1.00) |
0.942 (1.00) |
0.974 (1.00) |
|
| 6q loss | 166 (19%) | 691 |
0.952 (1.00) |
0.00697 (1.00) |
0.219 (1.00) |
0.133 (1.00) |
0.469 (1.00) |
0.957 (1.00) |
0.644 (1.00) |
0.898 (1.00) |
|
| 7p loss | 47 (5%) | 810 |
0.526 (1.00) |
0.566 (1.00) |
1 (1.00) |
0.296 (1.00) |
0.783 (1.00) |
0.786 (1.00) |
0.582 (1.00) |
0.145 (1.00) |
|
| 7q loss | 63 (7%) | 794 |
0.132 (1.00) |
0.259 (1.00) |
1 (1.00) |
0.651 (1.00) |
0.197 (1.00) |
0.967 (1.00) |
0.301 (1.00) |
0.189 (1.00) |
|
| 8p loss | 257 (30%) | 600 |
0.00387 (1.00) |
0.538 (1.00) |
1 (1.00) |
0.863 (1.00) |
0.548 (1.00) |
0.337 (1.00) |
0.176 (1.00) |
0.916 (1.00) |
|
| 8q loss | 45 (5%) | 812 |
0.00592 (1.00) |
0.931 (1.00) |
1 (1.00) |
0.594 (1.00) |
0.275 (1.00) |
0.509 (1.00) |
0.424 (1.00) |
0.559 (1.00) |
|
| 9p loss | 184 (21%) | 673 |
0.0158 (1.00) |
0.958 (1.00) |
0.413 (1.00) |
0.441 (1.00) |
0.177 (1.00) |
0.157 (1.00) |
0.675 (1.00) |
0.094 (1.00) |
|
| 9q loss | 140 (16%) | 717 |
0.0163 (1.00) |
0.539 (1.00) |
0.17 (1.00) |
0.915 (1.00) |
0.285 (1.00) |
0.192 (1.00) |
0.994 (1.00) |
0.295 (1.00) |
|
| 10p loss | 72 (8%) | 785 |
0.0778 (1.00) |
0.53 (1.00) |
1 (1.00) |
0.67 (1.00) |
0.0353 (1.00) |
0.709 (1.00) |
0.496 (1.00) |
0.294 (1.00) |
|
| 10q loss | 106 (12%) | 751 |
0.00376 (1.00) |
0.692 (1.00) |
0.611 (1.00) |
0.473 (1.00) |
0.302 (1.00) |
0.347 (1.00) |
0.737 (1.00) |
0.71 (1.00) |
|
| 11p loss | 138 (16%) | 719 |
0.0149 (1.00) |
0.383 (1.00) |
0.369 (1.00) |
0.59 (1.00) |
1 (1.00) |
0.285 (1.00) |
0.0374 (1.00) |
0.271 (1.00) |
|
| 11q loss | 220 (26%) | 637 |
0.156 (1.00) |
0.617 (1.00) |
0.0534 (1.00) |
0.469 (1.00) |
0.611 (1.00) |
0.319 (1.00) |
0.151 (1.00) |
0.113 (1.00) |
|
| 12p loss | 65 (8%) | 792 |
0.0972 (1.00) |
0.995 (1.00) |
0.51 (1.00) |
0.455 (1.00) |
0.794 (1.00) |
0.433 (1.00) |
0.866 (1.00) |
0.471 (1.00) |
|
| 12q loss | 50 (6%) | 807 |
0.229 (1.00) |
0.218 (1.00) |
1 (1.00) |
0.613 (1.00) |
0.93 (1.00) |
0.766 (1.00) |
0.604 (1.00) |
0.157 (1.00) |
|
| 13q loss | 257 (30%) | 600 |
0.0791 (1.00) |
0.176 (1.00) |
0.464 (1.00) |
1 (1.00) |
0.498 (1.00) |
0.211 (1.00) |
0.613 (1.00) |
0.838 (1.00) |
|
| 14q loss | 127 (15%) | 730 |
0.00846 (1.00) |
0.217 (1.00) |
0.37 (1.00) |
1 (1.00) |
0.409 (1.00) |
0.0617 (1.00) |
0.862 (1.00) |
0.726 (1.00) |
|
| 15q loss | 156 (18%) | 701 |
0.234 (1.00) |
0.174 (1.00) |
0.377 (1.00) |
0.475 (1.00) |
0.29 (1.00) |
0.589 (1.00) |
0.452 (1.00) |
0.445 (1.00) |
|
| 16p loss | 53 (6%) | 804 |
0.962 (1.00) |
0.657 (1.00) |
0.102 (1.00) |
0.87 (1.00) |
0.642 (1.00) |
0.75 (1.00) |
0.435 (1.00) |
0.754 (1.00) |
|
| 16q loss | 366 (43%) | 491 |
0.0272 (1.00) |
0.00135 (0.857) |
1 (1.00) |
0.473 (1.00) |
0.653 (1.00) |
0.489 (1.00) |
0.0564 (1.00) |
0.922 (1.00) |
|
| 17p loss | 357 (42%) | 500 |
0.338 (1.00) |
0.0245 (1.00) |
0.742 (1.00) |
0.0773 (1.00) |
0.551 (1.00) |
0.456 (1.00) |
0.331 (1.00) |
0.337 (1.00) |
|
| 17q loss | 137 (16%) | 720 |
0.598 (1.00) |
0.238 (1.00) |
0.368 (1.00) |
0.914 (1.00) |
0.927 (1.00) |
0.206 (1.00) |
0.213 (1.00) |
0.96 (1.00) |
|
| 18p loss | 167 (19%) | 690 |
0.00592 (1.00) |
0.00127 (0.808) |
1 (1.00) |
0.425 (1.00) |
0.712 (1.00) |
0.54 (1.00) |
0.27 (1.00) |
0.442 (1.00) |
|
| 18q loss | 166 (19%) | 691 |
0.0396 (1.00) |
0.00111 (0.71) |
1 (1.00) |
0.483 (1.00) |
0.356 (1.00) |
0.442 (1.00) |
0.149 (1.00) |
0.0663 (1.00) |
|
| 19p loss | 66 (8%) | 791 |
0.533 (1.00) |
0.318 (1.00) |
1 (1.00) |
0.236 (1.00) |
0.353 (1.00) |
0.136 (1.00) |
0.538 (1.00) |
0.234 (1.00) |
|
| 19q loss | 52 (6%) | 805 |
0.632 (1.00) |
0.991 (1.00) |
1 (1.00) |
0.621 (1.00) |
0.741 (1.00) |
0.0884 (1.00) |
0.846 (1.00) |
0.0332 (1.00) |
|
| 20p loss | 50 (6%) | 807 |
0.00351 (1.00) |
0.944 (1.00) |
0.419 (1.00) |
0.866 (1.00) |
0.336 (1.00) |
0.119 (1.00) |
0.317 (1.00) |
0.352 (1.00) |
|
| 20q loss | 27 (3%) | 830 |
0.576 (1.00) |
0.865 (1.00) |
1 (1.00) |
0.65 (1.00) |
0.376 (1.00) |
0.441 (1.00) |
0.754 (1.00) |
0.834 (1.00) |
|
| 21q loss | 83 (10%) | 774 |
0.961 (1.00) |
0.661 (1.00) |
1 (1.00) |
0.789 (1.00) |
0.14 (1.00) |
0.572 (1.00) |
0.459 (1.00) |
0.00505 (1.00) |
|
| 22q loss | 288 (34%) | 569 |
0.124 (1.00) |
0.845 (1.00) |
0.172 (1.00) |
0.111 (1.00) |
0.798 (1.00) |
0.0663 (1.00) |
0.097 (1.00) |
0.8 (1.00) |
|
| Xq loss | 31 (4%) | 826 |
0.0537 (1.00) |
0.722 (1.00) |
0.0389 (1.00) |
0.297 (1.00) |
0.327 (1.00) |
0.988 (1.00) |
0.377 (1.00) |
0.0011 (0.704) |
Methods & Data
Input
-
Mutation data file = broad_values_by_arm.mutsig.cluster.txt
-
Clinical data file = BRCA-TP.clin.merged.picked.txt
-
Number of patients = 857
-
Number of significantly arm-level cnvs = 80
-
Number of selected clinical features = 9
-
Exclude genes that fewer than K tumors have mutations, K = 3
Survival analysis
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
Student's t-test analysis
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
Fisher's exact test
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
Chi-square test
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
Q value calculation
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.
Download Results
This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.
References
[1] Bland and Altman, Statistics notes: The logrank test, BMJ 328(7447):1073 (2004)
[2] Lehmann and Romano, Testing Statistical Hypotheses (3E ed.), New York: Springer. ISBN 0387988645 (2005)
[3] Fisher, R.A., On the interpretation of chi-square from contingency tables, and the calculation of P, Journal of the Royal Statistical Society 85(1):87-94 (1922)
[4] Greenwood and Nikulin, A guide to chi-squared testing, Wiley, New York. ISBN 047155779X (1996)
[5] Benjamini and Hochberg, Controlling the false discovery rate: a practical and powerful approach to multiple testing, Journal of the Royal Statistical Society Series B 59:289-300 (1995)
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Broad Institute TCGA GDAC as part of the TCGA Research Network.
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