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 10 clinical features across 152 patients, 2 significant findings detected with Q value < 0.25.
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5Q GAIN MUTATION ANALYSIS cnv correlated to 'NUMBER.OF.LYMPH.NODES'.
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3Q LOSS MUTATION ANALYSIS 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 |
||
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 | |
5Q GAIN MUTATION ANALYSIS | 22 (14%) | 130 |
0.895 (1.00) |
0.751 (1.00) |
0.0506 (1.00) |
0.291 (1.00) |
0.0428 (1.00) |
1 (1.00) |
0.288 (1.00) |
0.79 (1.00) |
0.937 (1.00) |
3.35e-05 (0.0265) |
3Q LOSS MUTATION ANALYSIS | 8 (5%) | 144 |
0.0526 (1.00) |
0.691 (1.00) |
0.583 (1.00) |
0.87 (1.00) |
0.577 (1.00) |
0.219 (1.00) |
1 (1.00) |
0.0337 (1.00) |
0.493 (1.00) |
2.69e-06 (0.00213) |
1P GAIN MUTATION ANALYSIS | 39 (26%) | 113 |
0.0142 (1.00) |
0.602 (1.00) |
0.739 (1.00) |
0.863 (1.00) |
0.134 (1.00) |
0.259 (1.00) |
0.388 (1.00) |
0.389 (1.00) |
0.0208 (1.00) |
0.572 (1.00) |
1Q GAIN MUTATION ANALYSIS | 50 (33%) | 102 |
0.000594 (0.469) |
0.506 (1.00) |
0.0372 (1.00) |
0.292 (1.00) |
0.0127 (1.00) |
0.0371 (1.00) |
0.84 (1.00) |
0.768 (1.00) |
0.0212 (1.00) |
0.173 (1.00) |
2P GAIN MUTATION ANALYSIS | 44 (29%) | 108 |
0.284 (1.00) |
0.066 (1.00) |
0.0353 (1.00) |
0.966 (1.00) |
0.00539 (1.00) |
0.666 (1.00) |
0.00278 (1.00) |
0.628 (1.00) |
0.566 (1.00) |
0.0894 (1.00) |
2Q GAIN MUTATION ANALYSIS | 21 (14%) | 131 |
0.132 (1.00) |
0.936 (1.00) |
0.451 (1.00) |
0.0871 (1.00) |
0.683 (1.00) |
0.104 (1.00) |
1 (1.00) |
0.103 (1.00) |
0.663 (1.00) |
0.458 (1.00) |
3P GAIN MUTATION ANALYSIS | 53 (35%) | 99 |
0.848 (1.00) |
0.0874 (1.00) |
0.208 (1.00) |
0.319 (1.00) |
0.467 (1.00) |
0.861 (1.00) |
1 (1.00) |
0.102 (1.00) |
0.701 (1.00) |
0.353 (1.00) |
3Q GAIN MUTATION ANALYSIS | 72 (47%) | 80 |
0.12 (1.00) |
0.159 (1.00) |
0.102 (1.00) |
0.692 (1.00) |
0.0481 (1.00) |
0.754 (1.00) |
0.567 (1.00) |
0.497 (1.00) |
0.861 (1.00) |
0.162 (1.00) |
4P GAIN MUTATION ANALYSIS | 14 (9%) | 138 |
0.0691 (1.00) |
0.903 (1.00) |
0.742 (1.00) |
0.2 (1.00) |
0.109 (1.00) |
0.16 (1.00) |
1 (1.00) |
0.729 (1.00) |
0.688 (1.00) |
0.78 (1.00) |
4Q GAIN MUTATION ANALYSIS | 8 (5%) | 144 |
0.12 (1.00) |
0.571 (1.00) |
0.583 (1.00) |
0.76 (1.00) |
0.527 (1.00) |
0.358 (1.00) |
1 (1.00) |
0.781 (1.00) |
0.000329 (0.261) |
|
5P GAIN MUTATION ANALYSIS | 56 (37%) | 96 |
0.647 (1.00) |
0.328 (1.00) |
0.716 (1.00) |
0.41 (1.00) |
0.054 (1.00) |
0.336 (1.00) |
0.114 (1.00) |
0.899 (1.00) |
0.984 (1.00) |
0.168 (1.00) |
6P GAIN MUTATION ANALYSIS | 23 (15%) | 129 |
0.356 (1.00) |
0.874 (1.00) |
0.916 (1.00) |
0.57 (1.00) |
0.201 (1.00) |
0.445 (1.00) |
0.287 (1.00) |
0.502 (1.00) |
0.0692 (1.00) |
1 (1.00) |
6Q GAIN MUTATION ANALYSIS | 15 (10%) | 137 |
0.863 (1.00) |
0.48 (1.00) |
1 (1.00) |
0.696 (1.00) |
0.0178 (1.00) |
0.364 (1.00) |
0.122 (1.00) |
0.41 (1.00) |
0.119 (1.00) |
0.829 (1.00) |
7P GAIN MUTATION ANALYSIS | 60 (39%) | 92 |
0.267 (1.00) |
0.0416 (1.00) |
0.118 (1.00) |
0.609 (1.00) |
0.267 (1.00) |
0.951 (1.00) |
0.846 (1.00) |
0.634 (1.00) |
0.644 (1.00) |
0.442 (1.00) |
7Q GAIN MUTATION ANALYSIS | 54 (36%) | 98 |
0.594 (1.00) |
0.0676 (1.00) |
0.375 (1.00) |
0.782 (1.00) |
0.00881 (1.00) |
0.434 (1.00) |
0.234 (1.00) |
0.463 (1.00) |
0.17 (1.00) |
0.277 (1.00) |
8P GAIN MUTATION ANALYSIS | 32 (21%) | 120 |
0.592 (1.00) |
0.549 (1.00) |
0.39 (1.00) |
0.151 (1.00) |
0.863 (1.00) |
0.605 (1.00) |
0.64 (1.00) |
0.656 (1.00) |
0.506 (1.00) |
0.00954 (1.00) |
8Q GAIN MUTATION ANALYSIS | 70 (46%) | 82 |
0.326 (1.00) |
0.609 (1.00) |
0.334 (1.00) |
0.601 (1.00) |
0.888 (1.00) |
0.954 (1.00) |
0.186 (1.00) |
0.292 (1.00) |
0.454 (1.00) |
0.0839 (1.00) |
9P GAIN MUTATION ANALYSIS | 27 (18%) | 125 |
0.00653 (1.00) |
0.233 (1.00) |
0.51 (1.00) |
0.619 (1.00) |
0.555 (1.00) |
0.335 (1.00) |
0.621 (1.00) |
0.379 (1.00) |
0.204 (1.00) |
0.775 (1.00) |
9Q GAIN MUTATION ANALYSIS | 21 (14%) | 131 |
0.113 (1.00) |
0.171 (1.00) |
0.136 (1.00) |
1 (1.00) |
0.193 (1.00) |
0.0196 (1.00) |
0.585 (1.00) |
0.951 (1.00) |
0.236 (1.00) |
0.601 (1.00) |
10P GAIN MUTATION ANALYSIS | 39 (26%) | 113 |
0.3 (1.00) |
0.854 (1.00) |
0.532 (1.00) |
0.67 (1.00) |
0.309 (1.00) |
0.259 (1.00) |
0.667 (1.00) |
0.58 (1.00) |
0.995 (1.00) |
0.45 (1.00) |
10Q GAIN MUTATION ANALYSIS | 12 (8%) | 140 |
0.167 (1.00) |
0.321 (1.00) |
0.228 (1.00) |
0.25 (1.00) |
0.149 (1.00) |
0.848 (1.00) |
0.732 (1.00) |
0.311 (1.00) |
0.299 (1.00) |
|
11P GAIN MUTATION ANALYSIS | 12 (8%) | 140 |
0.0152 (1.00) |
0.472 (1.00) |
0.94 (1.00) |
0.911 (1.00) |
0.462 (1.00) |
0.696 (1.00) |
0.296 (1.00) |
0.709 (1.00) |
0.752 (1.00) |
0.526 (1.00) |
11Q GAIN MUTATION ANALYSIS | 19 (12%) | 133 |
0.978 (1.00) |
0.556 (1.00) |
0.93 (1.00) |
0.942 (1.00) |
0.168 (1.00) |
0.576 (1.00) |
0.566 (1.00) |
0.654 (1.00) |
0.646 (1.00) |
0.492 (1.00) |
12P GAIN MUTATION ANALYSIS | 45 (30%) | 107 |
0.989 (1.00) |
0.0487 (1.00) |
0.474 (1.00) |
0.19 (1.00) |
0.822 (1.00) |
0.38 (1.00) |
1 (1.00) |
0.823 (1.00) |
0.571 (1.00) |
0.648 (1.00) |
12Q GAIN MUTATION ANALYSIS | 37 (24%) | 115 |
0.814 (1.00) |
0.844 (1.00) |
0.496 (1.00) |
0.504 (1.00) |
0.529 (1.00) |
0.201 (1.00) |
0.51 (1.00) |
0.874 (1.00) |
0.0926 (1.00) |
0.666 (1.00) |
13Q GAIN MUTATION ANALYSIS | 37 (24%) | 115 |
0.883 (1.00) |
0.494 (1.00) |
0.311 (1.00) |
1 (1.00) |
0.185 (1.00) |
0.195 (1.00) |
0.375 (1.00) |
0.292 (1.00) |
0.252 (1.00) |
0.787 (1.00) |
14Q GAIN MUTATION ANALYSIS | 26 (17%) | 126 |
0.535 (1.00) |
0.672 (1.00) |
0.751 (1.00) |
0.622 (1.00) |
0.291 (1.00) |
0.124 (1.00) |
0.623 (1.00) |
0.59 (1.00) |
0.577 (1.00) |
0.0742 (1.00) |
15Q GAIN MUTATION ANALYSIS | 15 (10%) | 137 |
0.852 (1.00) |
0.452 (1.00) |
0.796 (1.00) |
0.86 (1.00) |
0.0936 (1.00) |
0.0743 (1.00) |
0.755 (1.00) |
0.349 (1.00) |
0.02 (1.00) |
0.898 (1.00) |
16P GAIN MUTATION ANALYSIS | 27 (18%) | 125 |
0.0328 (1.00) |
0.399 (1.00) |
0.796 (1.00) |
0.0477 (1.00) |
0.331 (1.00) |
0.379 (1.00) |
0.804 (1.00) |
0.699 (1.00) |
0.437 (1.00) |
0.673 (1.00) |
16Q GAIN MUTATION ANALYSIS | 29 (19%) | 123 |
0.262 (1.00) |
0.938 (1.00) |
0.362 (1.00) |
0.0637 (1.00) |
0.339 (1.00) |
0.316 (1.00) |
0.0542 (1.00) |
0.867 (1.00) |
0.71 (1.00) |
0.432 (1.00) |
17P GAIN MUTATION ANALYSIS | 21 (14%) | 131 |
0.000681 (0.537) |
0.108 (1.00) |
0.0975 (1.00) |
0.514 (1.00) |
0.368 (1.00) |
0.373 (1.00) |
0.585 (1.00) |
0.569 (1.00) |
0.756 (1.00) |
0.0266 (1.00) |
17Q GAIN MUTATION ANALYSIS | 52 (34%) | 100 |
0.0427 (1.00) |
0.245 (1.00) |
0.16 (1.00) |
0.558 (1.00) |
0.0289 (1.00) |
0.693 (1.00) |
0.549 (1.00) |
0.0277 (1.00) |
0.666 (1.00) |
0.74 (1.00) |
18P GAIN MUTATION ANALYSIS | 40 (26%) | 112 |
0.831 (1.00) |
0.634 (1.00) |
1 (1.00) |
0.457 (1.00) |
0.387 (1.00) |
0.881 (1.00) |
1 (1.00) |
0.0334 (1.00) |
0.141 (1.00) |
0.748 (1.00) |
18Q GAIN MUTATION ANALYSIS | 18 (12%) | 134 |
0.251 (1.00) |
0.853 (1.00) |
0.895 (1.00) |
0.168 (1.00) |
0.741 (1.00) |
0.706 (1.00) |
0.566 (1.00) |
0.00722 (1.00) |
0.303 (1.00) |
0.977 (1.00) |
19P GAIN MUTATION ANALYSIS | 30 (20%) | 122 |
0.291 (1.00) |
0.545 (1.00) |
0.955 (1.00) |
0.376 (1.00) |
0.063 (1.00) |
0.688 (1.00) |
0.811 (1.00) |
0.707 (1.00) |
0.713 (1.00) |
0.479 (1.00) |
19Q GAIN MUTATION ANALYSIS | 52 (34%) | 100 |
0.476 (1.00) |
0.96 (1.00) |
0.112 (1.00) |
0.101 (1.00) |
0.111 (1.00) |
0.552 (1.00) |
0.842 (1.00) |
0.0829 (1.00) |
0.169 (1.00) |
0.225 (1.00) |
20P GAIN MUTATION ANALYSIS | 81 (53%) | 71 |
0.159 (1.00) |
0.409 (1.00) |
0.707 (1.00) |
0.796 (1.00) |
0.594 (1.00) |
0.49 (1.00) |
0.849 (1.00) |
0.579 (1.00) |
0.0528 (1.00) |
0.211 (1.00) |
20Q GAIN MUTATION ANALYSIS | 92 (61%) | 60 |
0.988 (1.00) |
0.78 (1.00) |
0.918 (1.00) |
0.271 (1.00) |
0.608 (1.00) |
0.528 (1.00) |
0.33 (1.00) |
0.491 (1.00) |
0.0389 (1.00) |
0.762 (1.00) |
21Q GAIN MUTATION ANALYSIS | 51 (34%) | 101 |
0.253 (1.00) |
0.0372 (1.00) |
0.387 (1.00) |
0.467 (1.00) |
0.252 (1.00) |
0.905 (1.00) |
0.428 (1.00) |
0.947 (1.00) |
0.131 (1.00) |
0.953 (1.00) |
22Q GAIN MUTATION ANALYSIS | 28 (18%) | 124 |
0.379 (1.00) |
0.849 (1.00) |
0.661 (1.00) |
0.802 (1.00) |
0.902 (1.00) |
0.739 (1.00) |
1 (1.00) |
0.316 (1.00) |
0.831 (1.00) |
0.0204 (1.00) |
XQ GAIN MUTATION ANALYSIS | 20 (13%) | 132 |
0.598 (1.00) |
0.87 (1.00) |
0.317 (1.00) |
0.26 (1.00) |
0.833 (1.00) |
0.74 (1.00) |
1 (1.00) |
0.368 (1.00) |
0.633 (1.00) |
0.0118 (1.00) |
1P LOSS MUTATION ANALYSIS | 11 (7%) | 141 |
0.796 (1.00) |
0.396 (1.00) |
0.504 (1.00) |
0.408 (1.00) |
0.347 (1.00) |
0.0491 (1.00) |
1 (1.00) |
0.0583 (1.00) |
0.909 (1.00) |
|
1Q LOSS MUTATION ANALYSIS | 12 (8%) | 140 |
0.961 (1.00) |
0.36 (1.00) |
0.939 (1.00) |
0.408 (1.00) |
0.778 (1.00) |
1 (1.00) |
1 (1.00) |
0.19 (1.00) |
0.0118 (1.00) |
0.862 (1.00) |
2P LOSS MUTATION ANALYSIS | 15 (10%) | 137 |
0.548 (1.00) |
0.709 (1.00) |
0.796 (1.00) |
0.459 (1.00) |
0.225 (1.00) |
0.567 (1.00) |
0.122 (1.00) |
0.535 (1.00) |
0.314 (1.00) |
0.441 (1.00) |
2Q LOSS MUTATION ANALYSIS | 33 (22%) | 119 |
0.0644 (1.00) |
0.421 (1.00) |
0.38 (1.00) |
0.753 (1.00) |
0.0467 (1.00) |
0.933 (1.00) |
1 (1.00) |
0.41 (1.00) |
0.226 (1.00) |
0.611 (1.00) |
3P LOSS MUTATION ANALYSIS | 23 (15%) | 129 |
0.444 (1.00) |
0.526 (1.00) |
0.94 (1.00) |
0.902 (1.00) |
0.465 (1.00) |
0.245 (1.00) |
0.0672 (1.00) |
0.98 (1.00) |
0.588 (1.00) |
0.482 (1.00) |
4P LOSS MUTATION ANALYSIS | 51 (34%) | 101 |
0.0548 (1.00) |
0.0541 (1.00) |
0.243 (1.00) |
0.941 (1.00) |
0.229 (1.00) |
0.652 (1.00) |
0.84 (1.00) |
0.89 (1.00) |
0.187 (1.00) |
0.442 (1.00) |
4Q LOSS MUTATION ANALYSIS | 47 (31%) | 105 |
0.484 (1.00) |
0.0121 (1.00) |
0.537 (1.00) |
0.635 (1.00) |
0.802 (1.00) |
0.852 (1.00) |
1 (1.00) |
0.636 (1.00) |
0.267 (1.00) |
0.456 (1.00) |
5P LOSS MUTATION ANALYSIS | 29 (19%) | 123 |
0.0589 (1.00) |
0.0432 (1.00) |
0.715 (1.00) |
0.634 (1.00) |
0.424 (1.00) |
0.216 (1.00) |
0.629 (1.00) |
0.0367 (1.00) |
0.451 (1.00) |
0.528 (1.00) |
5Q LOSS MUTATION ANALYSIS | 57 (38%) | 95 |
0.928 (1.00) |
0.0503 (1.00) |
0.0404 (1.00) |
0.212 (1.00) |
0.0481 (1.00) |
0.0126 (1.00) |
0.431 (1.00) |
0.0692 (1.00) |
0.853 (1.00) |
0.167 (1.00) |
6P LOSS MUTATION ANALYSIS | 38 (25%) | 114 |
0.76 (1.00) |
0.287 (1.00) |
0.0123 (1.00) |
0.0659 (1.00) |
0.0206 (1.00) |
0.69 (1.00) |
0.664 (1.00) |
0.725 (1.00) |
0.915 (1.00) |
0.132 (1.00) |
6Q LOSS MUTATION ANALYSIS | 53 (35%) | 99 |
0.963 (1.00) |
0.284 (1.00) |
0.0386 (1.00) |
0.431 (1.00) |
0.0179 (1.00) |
0.952 (1.00) |
1 (1.00) |
0.436 (1.00) |
0.511 (1.00) |
0.0158 (1.00) |
7P LOSS MUTATION ANALYSIS | 6 (4%) | 146 |
0.101 (1.00) |
0.937 (1.00) |
0.569 (1.00) |
1 (1.00) |
0.168 (1.00) |
0.736 (1.00) |
0.336 (1.00) |
0.869 (1.00) |
0.425 (1.00) |
|
7Q LOSS MUTATION ANALYSIS | 9 (6%) | 143 |
0.893 (1.00) |
0.892 (1.00) |
0.76 (1.00) |
0.728 (1.00) |
0.823 (1.00) |
0.204 (1.00) |
0.116 (1.00) |
0.00535 (1.00) |
0.897 (1.00) |
|
8P LOSS MUTATION ANALYSIS | 62 (41%) | 90 |
0.641 (1.00) |
0.298 (1.00) |
0.109 (1.00) |
0.333 (1.00) |
0.0846 (1.00) |
0.00115 (0.906) |
0.336 (1.00) |
0.113 (1.00) |
0.171 (1.00) |
0.582 (1.00) |
8Q LOSS MUTATION ANALYSIS | 13 (9%) | 139 |
0.787 (1.00) |
0.0536 (1.00) |
0.308 (1.00) |
0.0683 (1.00) |
0.159 (1.00) |
0.0353 (1.00) |
0.508 (1.00) |
0.973 (1.00) |
0.356 (1.00) |
|
9P LOSS MUTATION ANALYSIS | 59 (39%) | 93 |
0.383 (1.00) |
0.0176 (1.00) |
0.712 (1.00) |
1 (1.00) |
0.486 (1.00) |
0.904 (1.00) |
0.558 (1.00) |
0.792 (1.00) |
0.564 (1.00) |
0.474 (1.00) |
9Q LOSS MUTATION ANALYSIS | 56 (37%) | 96 |
0.498 (1.00) |
0.131 (1.00) |
0.836 (1.00) |
0.68 (1.00) |
0.902 (1.00) |
0.738 (1.00) |
0.238 (1.00) |
0.865 (1.00) |
0.0978 (1.00) |
0.903 (1.00) |
10P LOSS MUTATION ANALYSIS | 30 (20%) | 122 |
0.243 (1.00) |
0.769 (1.00) |
1 (1.00) |
0.619 (1.00) |
0.367 (1.00) |
0.256 (1.00) |
1 (1.00) |
0.0241 (1.00) |
0.231 (1.00) |
0.444 (1.00) |
10Q LOSS MUTATION ANALYSIS | 50 (33%) | 102 |
0.349 (1.00) |
0.00451 (1.00) |
0.885 (1.00) |
0.537 (1.00) |
0.769 (1.00) |
0.544 (1.00) |
1 (1.00) |
0.0615 (1.00) |
0.88 (1.00) |
0.745 (1.00) |
11P LOSS MUTATION ANALYSIS | 59 (39%) | 93 |
0.334 (1.00) |
0.0395 (1.00) |
0.0391 (1.00) |
0.612 (1.00) |
0.165 (1.00) |
0.125 (1.00) |
0.845 (1.00) |
0.244 (1.00) |
0.196 (1.00) |
0.168 (1.00) |
11Q LOSS MUTATION ANALYSIS | 43 (28%) | 109 |
0.148 (1.00) |
0.967 (1.00) |
0.209 (1.00) |
0.243 (1.00) |
0.105 (1.00) |
0.626 (1.00) |
0.833 (1.00) |
0.685 (1.00) |
0.0188 (1.00) |
0.209 (1.00) |
12P LOSS MUTATION ANALYSIS | 15 (10%) | 137 |
0.906 (1.00) |
0.163 (1.00) |
1 (1.00) |
0.16 (1.00) |
0.834 (1.00) |
0.567 (1.00) |
0.122 (1.00) |
0.667 (1.00) |
0.136 (1.00) |
0.489 (1.00) |
12Q LOSS MUTATION ANALYSIS | 18 (12%) | 134 |
0.688 (1.00) |
0.837 (1.00) |
0.25 (1.00) |
0.319 (1.00) |
0.00425 (1.00) |
0.372 (1.00) |
0.245 (1.00) |
0.579 (1.00) |
0.141 (1.00) |
0.243 (1.00) |
13Q LOSS MUTATION ANALYSIS | 34 (22%) | 118 |
0.0805 (1.00) |
0.173 (1.00) |
0.946 (1.00) |
0.587 (1.00) |
0.938 (1.00) |
0.674 (1.00) |
0.0704 (1.00) |
0.0023 (1.00) |
0.52 (1.00) |
0.952 (1.00) |
14Q LOSS MUTATION ANALYSIS | 41 (27%) | 111 |
0.245 (1.00) |
0.0742 (1.00) |
0.862 (1.00) |
0.93 (1.00) |
0.457 (1.00) |
0.884 (1.00) |
0.135 (1.00) |
0.869 (1.00) |
0.194 (1.00) |
0.551 (1.00) |
15Q LOSS MUTATION ANALYSIS | 48 (32%) | 104 |
0.27 (1.00) |
0.0879 (1.00) |
0.921 (1.00) |
1 (1.00) |
0.591 (1.00) |
0.115 (1.00) |
0.413 (1.00) |
0.347 (1.00) |
0.977 (1.00) |
0.24 (1.00) |
16P LOSS MUTATION ANALYSIS | 38 (25%) | 114 |
0.439 (1.00) |
0.14 (1.00) |
0.181 (1.00) |
0.0955 (1.00) |
0.443 (1.00) |
0.543 (1.00) |
1 (1.00) |
0.762 (1.00) |
0.746 (1.00) |
0.139 (1.00) |
16Q LOSS MUTATION ANALYSIS | 36 (24%) | 116 |
0.801 (1.00) |
0.303 (1.00) |
0.607 (1.00) |
0.621 (1.00) |
0.211 (1.00) |
0.318 (1.00) |
0.369 (1.00) |
0.914 (1.00) |
0.673 (1.00) |
0.557 (1.00) |
17P LOSS MUTATION ANALYSIS | 64 (42%) | 88 |
0.93 (1.00) |
0.15 (1.00) |
0.154 (1.00) |
0.971 (1.00) |
0.925 (1.00) |
0.863 (1.00) |
0.445 (1.00) |
0.462 (1.00) |
0.289 (1.00) |
0.479 (1.00) |
17Q LOSS MUTATION ANALYSIS | 19 (12%) | 133 |
0.758 (1.00) |
0.642 (1.00) |
0.678 (1.00) |
0.236 (1.00) |
0.25 (1.00) |
0.0528 (1.00) |
1 (1.00) |
0.934 (1.00) |
0.49 (1.00) |
0.371 (1.00) |
18P LOSS MUTATION ANALYSIS | 39 (26%) | 113 |
0.261 (1.00) |
0.525 (1.00) |
0.144 (1.00) |
0.161 (1.00) |
0.246 (1.00) |
0.277 (1.00) |
0.513 (1.00) |
0.189 (1.00) |
0.929 (1.00) |
0.834 (1.00) |
18Q LOSS MUTATION ANALYSIS | 60 (39%) | 92 |
0.78 (1.00) |
0.211 (1.00) |
0.675 (1.00) |
0.29 (1.00) |
0.892 (1.00) |
0.784 (1.00) |
0.172 (1.00) |
0.815 (1.00) |
0.931 (1.00) |
0.626 (1.00) |
19P LOSS MUTATION ANALYSIS | 35 (23%) | 117 |
0.0623 (1.00) |
0.0698 (1.00) |
0.016 (1.00) |
0.136 (1.00) |
0.000679 (0.536) |
0.0243 (1.00) |
1 (1.00) |
0.0246 (1.00) |
0.233 (1.00) |
0.701 (1.00) |
19Q LOSS MUTATION ANALYSIS | 19 (12%) | 133 |
0.0291 (1.00) |
0.244 (1.00) |
0.708 (1.00) |
0.0737 (1.00) |
0.0801 (1.00) |
0.184 (1.00) |
0.566 (1.00) |
0.19 (1.00) |
0.926 (1.00) |
0.545 (1.00) |
20P LOSS MUTATION ANALYSIS | 12 (8%) | 140 |
0.522 (1.00) |
0.695 (1.00) |
0.68 (1.00) |
1 (1.00) |
0.417 (1.00) |
0.547 (1.00) |
0.732 (1.00) |
0.0337 (1.00) |
0.0299 (1.00) |
0.869 (1.00) |
20Q LOSS MUTATION ANALYSIS | 5 (3%) | 147 |
0.928 (1.00) |
0.997 (1.00) |
0.111 (1.00) |
0.371 (1.00) |
0.0425 (1.00) |
0.704 (1.00) |
0.339 (1.00) |
0.0033 (1.00) |
0.468 (1.00) |
|
21Q LOSS MUTATION ANALYSIS | 24 (16%) | 128 |
0.154 (1.00) |
0.111 (1.00) |
0.516 (1.00) |
0.221 (1.00) |
0.0151 (1.00) |
0.925 (1.00) |
0.198 (1.00) |
0.0664 (1.00) |
0.592 (1.00) |
0.864 (1.00) |
22Q LOSS MUTATION ANALYSIS | 49 (32%) | 103 |
0.32 (1.00) |
0.0601 (1.00) |
0.583 (1.00) |
0.968 (1.00) |
0.4 (1.00) |
0.0458 (1.00) |
0.842 (1.00) |
0.213 (1.00) |
0.139 (1.00) |
0.73 (1.00) |
XQ LOSS MUTATION ANALYSIS | 32 (21%) | 120 |
0.586 (1.00) |
0.706 (1.00) |
0.0421 (1.00) |
0.0498 (1.00) |
0.332 (1.00) |
0.334 (1.00) |
0.349 (1.00) |
0.93 (1.00) |
0.694 (1.00) |
0.661 (1.00) |
P value = 3.35e-05 (t-test), Q value = 0.027
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 108 | 1.7 (3.6) |
5Q GAIN MUTATED | 16 | 0.2 (0.4) |
5Q GAIN WILD-TYPE | 92 | 2.0 (3.9) |
P value = 2.69e-06 (t-test), Q value = 0.0021
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 108 | 1.7 (3.6) |
3Q LOSS MUTATED | 5 | 0.0 (0.0) |
3Q LOSS WILD-TYPE | 103 | 1.8 (3.7) |
-
Copy number data file = transformed.cor.cli.txt
-
Clinical data file = BLCA-TP.clin.merged.picked.txt
-
Number of patients = 152
-
Number of significantly arm-level cnvs = 80
-
Number of selected clinical features = 10
-
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.