This pipeline computes the correlation between significant arm-level copy number variations (cnvs) and selected clinical features.
Testing the association between subtypes identified by 79 different clustering approaches and 14 clinical features across 337 patients, 6 significant findings detected with Q value < 0.25.
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2 subtypes identified in current cancer cohort by '1p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '1q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '2p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '2q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '3p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '3q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '4p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '4q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '5p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '5q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '6p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '6q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '7p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '7q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '8p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '8q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '9p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '9q gain mutation analysis'. These subtypes correlate to 'PATHOLOGICSPREAD(M)'.
-
2 subtypes identified in current cancer cohort by '10p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '10q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '11p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '11q gain mutation analysis'. These subtypes correlate to 'AGE'.
-
2 subtypes identified in current cancer cohort by '12p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '12q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '13q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '14q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '15q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '16p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '16q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '17p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '17q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '18p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '18q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '19p gain mutation analysis'. These subtypes correlate to 'PATHOLOGICSPREAD(M)'.
-
2 subtypes identified in current cancer cohort by '19q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '20p gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '20q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '21q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '22q gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by 'Xq gain mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '1p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '1q loss mutation analysis'. These subtypes correlate to 'Time to Death'.
-
2 subtypes identified in current cancer cohort by '2p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '3p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '3q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '4p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '4q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '5p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '5q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '6p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '6q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '7p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '7q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '8p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '8q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '9p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '9q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '10p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '10q loss mutation analysis'. These subtypes correlate to 'HISTOLOGICAL.TYPE'.
-
2 subtypes identified in current cancer cohort by '11p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '11q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '12p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '12q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '13q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '14q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '15q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '16p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '16q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '17p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '17q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '18p loss mutation analysis'. These subtypes correlate to 'NUMBERPACKYEARSSMOKED'.
-
2 subtypes identified in current cancer cohort by '18q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '19p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '19q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '20p loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '20q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '21q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by '22q loss mutation analysis'. These subtypes do not correlate to any clinical features.
-
2 subtypes identified in current cancer cohort by 'Xq loss mutation analysis'. These subtypes do not correlate to any clinical features.
Clinical Features |
Time to Death |
AGE | GENDER |
KARNOFSKY PERFORMANCE SCORE |
HISTOLOGICAL TYPE |
PATHOLOGY T |
PATHOLOGY N |
PATHOLOGICSPREAD(M) |
TUMOR STAGE |
RADIATIONS RADIATION REGIMENINDICATION |
NUMBERPACKYEARSSMOKED | STOPPEDSMOKINGYEAR | TOBACCOSMOKINGHISTORYINDICATOR | YEAROFTOBACCOSMOKINGONSET |
Statistical Tests | logrank test | t-test | Fisher's exact test | t-test | Chi-square test | Chi-square test | Chi-square test | Chi-square test | Chi-square test | Fisher's exact test | t-test | t-test | Chi-square test | t-test |
1p gain |
0.898 (1.00) |
0.0016 (1.00) |
0.869 (1.00) |
0.492 (1.00) |
0.988 (1.00) |
0.779 (1.00) |
0.00149 (1.00) |
0.846 (1.00) |
0.00072 (0.758) |
0.488 (1.00) |
0.937 (1.00) |
0.799 (1.00) |
0.514 (1.00) |
0.704 (1.00) |
1q gain |
0.852 (1.00) |
0.323 (1.00) |
0.822 (1.00) |
0.512 (1.00) |
0.543 (1.00) |
0.342 (1.00) |
0.0458 (1.00) |
0.314 (1.00) |
0.0625 (1.00) |
0.816 (1.00) |
0.806 (1.00) |
0.844 (1.00) |
0.405 (1.00) |
0.705 (1.00) |
2p gain |
0.083 (1.00) |
0.0567 (1.00) |
0.0298 (1.00) |
0.851 (1.00) |
0.62 (1.00) |
0.0907 (1.00) |
0.809 (1.00) |
0.117 (1.00) |
0.281 (1.00) |
1 (1.00) |
0.643 (1.00) |
0.0891 (1.00) |
0.0946 (1.00) |
0.717 (1.00) |
2q gain |
0.183 (1.00) |
0.211 (1.00) |
0.282 (1.00) |
0.46 (1.00) |
0.296 (1.00) |
0.993 (1.00) |
0.0453 (1.00) |
0.13 (1.00) |
0.707 (1.00) |
0.341 (1.00) |
0.637 (1.00) |
0.18 (1.00) |
0.871 (1.00) |
|
3p gain |
0.115 (1.00) |
0.613 (1.00) |
0.758 (1.00) |
0.956 (1.00) |
0.0976 (1.00) |
0.303 (1.00) |
0.895 (1.00) |
0.422 (1.00) |
0.462 (1.00) |
0.783 (1.00) |
0.523 (1.00) |
0.379 (1.00) |
0.24 (1.00) |
|
3q gain |
0.154 (1.00) |
0.553 (1.00) |
0.817 (1.00) |
0.988 (1.00) |
0.835 (1.00) |
0.167 (1.00) |
0.811 (1.00) |
0.493 (1.00) |
0.313 (1.00) |
0.892 (1.00) |
0.367 (1.00) |
0.461 (1.00) |
0.0609 (1.00) |
|
4p gain |
0.665 (1.00) |
0.0188 (1.00) |
0.281 (1.00) |
0.775 (1.00) |
0.682 (1.00) |
0.948 (1.00) |
0.119 (1.00) |
0.384 (1.00) |
1 (1.00) |
0.0688 (1.00) |
0.205 (1.00) |
0.323 (1.00) |
0.865 (1.00) |
|
4q gain |
0.579 (1.00) |
0.865 (1.00) |
0.25 (1.00) |
0.995 (1.00) |
0.221 (1.00) |
0.338 (1.00) |
0.363 (1.00) |
0.749 (1.00) |
0.351 (1.00) |
0.0469 (1.00) |
0.844 (1.00) |
0.471 (1.00) |
0.0228 (1.00) |
|
5p gain |
0.685 (1.00) |
0.151 (1.00) |
0.91 (1.00) |
0.786 (1.00) |
0.286 (1.00) |
0.788 (1.00) |
0.533 (1.00) |
0.44 (1.00) |
0.695 (1.00) |
0.153 (1.00) |
0.106 (1.00) |
0.0367 (1.00) |
0.443 (1.00) |
0.995 (1.00) |
5q gain |
0.95 (1.00) |
0.793 (1.00) |
0.398 (1.00) |
0.752 (1.00) |
0.429 (1.00) |
0.745 (1.00) |
0.415 (1.00) |
0.592 (1.00) |
0.0735 (1.00) |
0.839 (1.00) |
0.678 (1.00) |
0.176 (1.00) |
0.335 (1.00) |
|
6p gain |
0.807 (1.00) |
0.906 (1.00) |
0.758 (1.00) |
0.902 (1.00) |
0.584 (1.00) |
0.322 (1.00) |
0.313 (1.00) |
0.541 (1.00) |
0.874 (1.00) |
0.75 (1.00) |
0.529 (1.00) |
0.741 (1.00) |
0.375 (1.00) |
0.109 (1.00) |
6q gain |
0.597 (1.00) |
0.259 (1.00) |
0.0433 (1.00) |
0.955 (1.00) |
0.677 (1.00) |
0.861 (1.00) |
0.00714 (1.00) |
0.354 (1.00) |
1 (1.00) |
0.503 (1.00) |
0.223 (1.00) |
0.182 (1.00) |
0.388 (1.00) |
|
7p gain |
0.244 (1.00) |
0.154 (1.00) |
0.818 (1.00) |
0.193 (1.00) |
0.47 (1.00) |
0.141 (1.00) |
0.00903 (1.00) |
0.356 (1.00) |
0.0473 (1.00) |
0.469 (1.00) |
0.415 (1.00) |
0.844 (1.00) |
0.604 (1.00) |
0.935 (1.00) |
7q gain |
0.86 (1.00) |
0.0412 (1.00) |
0.448 (1.00) |
0.82 (1.00) |
0.539 (1.00) |
0.511 (1.00) |
0.29 (1.00) |
0.107 (1.00) |
0.0382 (1.00) |
0.597 (1.00) |
0.758 (1.00) |
0.923 (1.00) |
0.936 (1.00) |
0.771 (1.00) |
8p gain |
0.422 (1.00) |
0.00118 (1.00) |
0.314 (1.00) |
0.777 (1.00) |
0.118 (1.00) |
0.738 (1.00) |
0.633 (1.00) |
0.946 (1.00) |
0.718 (1.00) |
0.591 (1.00) |
0.152 (1.00) |
0.0496 (1.00) |
0.0501 (1.00) |
|
8q gain |
0.843 (1.00) |
0.00113 (1.00) |
0.343 (1.00) |
0.321 (1.00) |
0.441 (1.00) |
0.369 (1.00) |
0.236 (1.00) |
0.473 (1.00) |
0.588 (1.00) |
0.628 (1.00) |
0.442 (1.00) |
0.182 (1.00) |
0.0613 (1.00) |
0.0392 (1.00) |
9p gain |
0.191 (1.00) |
0.462 (1.00) |
0.353 (1.00) |
0.903 (1.00) |
0.713 (1.00) |
0.327 (1.00) |
0.00126 (1.00) |
0.573 (1.00) |
1 (1.00) |
0.172 (1.00) |
0.00229 (1.00) |
0.205 (1.00) |
0.59 (1.00) |
|
9q gain |
0.0587 (1.00) |
0.158 (1.00) |
0.66 (1.00) |
0.999 (1.00) |
0.828 (1.00) |
0.414 (1.00) |
5.82e-07 (0.000617) |
0.422 (1.00) |
1 (1.00) |
0.292 (1.00) |
0.108 (1.00) |
0.626 (1.00) |
0.762 (1.00) |
|
10p gain |
0.978 (1.00) |
0.43 (1.00) |
0.118 (1.00) |
0.82 (1.00) |
0.614 (1.00) |
0.519 (1.00) |
0.304 (1.00) |
0.405 (1.00) |
0.395 (1.00) |
0.712 (1.00) |
0.0127 (1.00) |
0.0467 (1.00) |
0.00347 (1.00) |
0.35 (1.00) |
10q gain |
0.882 (1.00) |
0.999 (1.00) |
0.117 (1.00) |
0.382 (1.00) |
0.0651 (1.00) |
0.156 (1.00) |
0.691 (1.00) |
0.124 (1.00) |
1 (1.00) |
0.103 (1.00) |
0.57 (1.00) |
0.0758 (1.00) |
0.265 (1.00) |
|
11p gain |
0.699 (1.00) |
0.0615 (1.00) |
0.428 (1.00) |
0.72 (1.00) |
0.746 (1.00) |
0.778 (1.00) |
0.487 (1.00) |
0.163 (1.00) |
0.456 (1.00) |
0.677 (1.00) |
0.228 (1.00) |
0.186 (1.00) |
0.768 (1.00) |
0.846 (1.00) |
11q gain |
0.351 (1.00) |
6.26e-05 (0.0661) |
0.127 (1.00) |
0.751 (1.00) |
0.692 (1.00) |
0.448 (1.00) |
0.409 (1.00) |
0.277 (1.00) |
0.186 (1.00) |
0.268 (1.00) |
0.125 (1.00) |
0.00039 (0.411) |
0.0521 (1.00) |
0.104 (1.00) |
12p gain |
0.838 (1.00) |
0.003 (1.00) |
0.62 (1.00) |
0.555 (1.00) |
0.243 (1.00) |
0.0516 (1.00) |
0.961 (1.00) |
0.0366 (1.00) |
1 (1.00) |
0.676 (1.00) |
0.115 (1.00) |
0.0337 (1.00) |
0.121 (1.00) |
|
12q gain |
0.701 (1.00) |
0.00449 (1.00) |
0.483 (1.00) |
0.484 (1.00) |
0.404 (1.00) |
0.318 (1.00) |
0.71 (1.00) |
0.278 (1.00) |
0.708 (1.00) |
0.0261 (1.00) |
0.131 (1.00) |
0.0384 (1.00) |
0.00794 (1.00) |
|
13q gain |
0.591 (1.00) |
0.567 (1.00) |
1 (1.00) |
0.975 (1.00) |
0.09 (1.00) |
0.388 (1.00) |
0.225 (1.00) |
0.625 (1.00) |
0.609 (1.00) |
0.811 (1.00) |
0.353 (1.00) |
0.326 (1.00) |
0.78 (1.00) |
|
14q gain |
0.454 (1.00) |
0.48 (1.00) |
0.225 (1.00) |
0.901 (1.00) |
0.271 (1.00) |
0.502 (1.00) |
0.157 (1.00) |
0.705 (1.00) |
0.433 (1.00) |
0.146 (1.00) |
0.389 (1.00) |
0.975 (1.00) |
0.661 (1.00) |
0.558 (1.00) |
15q gain |
0.285 (1.00) |
0.405 (1.00) |
1 (1.00) |
0.0901 (1.00) |
0.629 (1.00) |
0.297 (1.00) |
0.697 (1.00) |
0.331 (1.00) |
1 (1.00) |
0.825 (1.00) |
0.535 (1.00) |
0.125 (1.00) |
0.898 (1.00) |
|
16p gain |
0.554 (1.00) |
0.152 (1.00) |
1 (1.00) |
0.314 (1.00) |
0.705 (1.00) |
0.642 (1.00) |
0.401 (1.00) |
0.399 (1.00) |
0.412 (1.00) |
1 (1.00) |
0.363 (1.00) |
0.0815 (1.00) |
0.0195 (1.00) |
0.714 (1.00) |
16q gain |
0.749 (1.00) |
0.116 (1.00) |
0.342 (1.00) |
0.292 (1.00) |
0.311 (1.00) |
0.867 (1.00) |
0.163 (1.00) |
0.247 (1.00) |
0.191 (1.00) |
0.236 (1.00) |
0.0563 (1.00) |
0.0334 (1.00) |
0.361 (1.00) |
0.316 (1.00) |
17p gain |
0.752 (1.00) |
0.897 (1.00) |
0.153 (1.00) |
0.265 (1.00) |
0.389 (1.00) |
0.835 (1.00) |
0.658 (1.00) |
0.72 (1.00) |
0.593 (1.00) |
0.0197 (1.00) |
0.0531 (1.00) |
0.442 (1.00) |
0.857 (1.00) |
0.956 (1.00) |
17q gain |
0.271 (1.00) |
0.961 (1.00) |
1 (1.00) |
0.437 (1.00) |
0.314 (1.00) |
0.0434 (1.00) |
0.982 (1.00) |
0.0556 (1.00) |
0.131 (1.00) |
0.0569 (1.00) |
0.05 (1.00) |
0.138 (1.00) |
0.434 (1.00) |
0.427 (1.00) |
18p gain |
0.246 (1.00) |
0.299 (1.00) |
0.233 (1.00) |
0.0876 (1.00) |
0.925 (1.00) |
0.352 (1.00) |
0.289 (1.00) |
0.864 (1.00) |
1 (1.00) |
0.0735 (1.00) |
0.132 (1.00) |
0.448 (1.00) |
0.99 (1.00) |
|
18q gain |
0.671 (1.00) |
0.19 (1.00) |
0.618 (1.00) |
0.754 (1.00) |
0.676 (1.00) |
0.467 (1.00) |
0.904 (1.00) |
0.961 (1.00) |
1 (1.00) |
0.596 (1.00) |
0.0719 (1.00) |
0.657 (1.00) |
0.248 (1.00) |
|
19p gain |
0.835 (1.00) |
0.393 (1.00) |
1 (1.00) |
0.995 (1.00) |
0.711 (1.00) |
0.0447 (1.00) |
2.99e-05 (0.0317) |
0.0574 (1.00) |
0.351 (1.00) |
0.422 (1.00) |
0.225 (1.00) |
0.864 (1.00) |
0.396 (1.00) |
|
19q gain |
0.961 (1.00) |
0.626 (1.00) |
0.636 (1.00) |
0.887 (1.00) |
0.0328 (1.00) |
0.53 (1.00) |
0.0311 (1.00) |
0.506 (1.00) |
1 (1.00) |
0.268 (1.00) |
0.0079 (1.00) |
0.178 (1.00) |
0.276 (1.00) |
|
20p gain |
0.707 (1.00) |
0.721 (1.00) |
0.642 (1.00) |
0.561 (1.00) |
0.738 (1.00) |
0.734 (1.00) |
0.56 (1.00) |
0.649 (1.00) |
0.223 (1.00) |
1 (1.00) |
0.606 (1.00) |
0.933 (1.00) |
0.0365 (1.00) |
0.559 (1.00) |
20q gain |
0.612 (1.00) |
0.301 (1.00) |
0.154 (1.00) |
0.141 (1.00) |
0.502 (1.00) |
0.445 (1.00) |
0.872 (1.00) |
0.371 (1.00) |
0.85 (1.00) |
0.222 (1.00) |
0.0208 (1.00) |
0.393 (1.00) |
0.0179 (1.00) |
0.594 (1.00) |
21q gain |
0.522 (1.00) |
0.528 (1.00) |
0.329 (1.00) |
0.679 (1.00) |
0.346 (1.00) |
0.59 (1.00) |
0.521 (1.00) |
0.866 (1.00) |
1 (1.00) |
0.859 (1.00) |
0.0417 (1.00) |
0.00591 (1.00) |
0.751 (1.00) |
|
22q gain |
0.484 (1.00) |
0.182 (1.00) |
0.795 (1.00) |
0.296 (1.00) |
0.344 (1.00) |
0.169 (1.00) |
0.809 (1.00) |
0.596 (1.00) |
0.609 (1.00) |
0.33 (1.00) |
0.974 (1.00) |
0.882 (1.00) |
0.51 (1.00) |
|
Xq gain |
0.166 (1.00) |
0.0267 (1.00) |
0.598 (1.00) |
0.551 (1.00) |
0.344 (1.00) |
0.821 (1.00) |
0.968 (1.00) |
0.969 (1.00) |
0.609 (1.00) |
0.468 (1.00) |
0.94 (1.00) |
0.126 (1.00) |
0.0377 (1.00) |
|
1p loss |
0.204 (1.00) |
0.68 (1.00) |
0.218 (1.00) |
0.611 (1.00) |
0.641 (1.00) |
0.934 (1.00) |
0.386 (1.00) |
0.279 (1.00) |
0.193 (1.00) |
0.188 (1.00) |
0.0823 (1.00) |
0.161 (1.00) |
0.729 (1.00) |
|
1q loss |
5.05e-05 (0.0534) |
0.735 (1.00) |
0.521 (1.00) |
0.0261 (1.00) |
0.837 (1.00) |
0.0772 (1.00) |
0.889 (1.00) |
0.217 (1.00) |
0.427 (1.00) |
0.349 (1.00) |
0.0483 (1.00) |
0.719 (1.00) |
||
2p loss |
0.183 (1.00) |
0.314 (1.00) |
1 (1.00) |
0.794 (1.00) |
0.852 (1.00) |
0.665 (1.00) |
0.969 (1.00) |
0.497 (1.00) |
1 (1.00) |
0.467 (1.00) |
0.403 (1.00) |
|||
3p loss |
0.912 (1.00) |
0.799 (1.00) |
1 (1.00) |
0.0134 (1.00) |
0.91 (1.00) |
0.344 (1.00) |
0.356 (1.00) |
0.295 (1.00) |
0.0181 (1.00) |
1 (1.00) |
0.589 (1.00) |
0.877 (1.00) |
0.0539 (1.00) |
0.264 (1.00) |
3q loss |
0.953 (1.00) |
0.999 (1.00) |
1 (1.00) |
0.016 (1.00) |
0.888 (1.00) |
0.133 (1.00) |
0.332 (1.00) |
0.725 (1.00) |
0.247 (1.00) |
1 (1.00) |
0.102 (1.00) |
0.619 (1.00) |
0.776 (1.00) |
0.834 (1.00) |
4p loss |
0.438 (1.00) |
0.0147 (1.00) |
0.354 (1.00) |
0.646 (1.00) |
0.642 (1.00) |
0.0888 (1.00) |
0.139 (1.00) |
0.947 (1.00) |
0.5 (1.00) |
0.42 (1.00) |
0.865 (1.00) |
0.0182 (1.00) |
0.0393 (1.00) |
0.406 (1.00) |
4q loss |
0.512 (1.00) |
0.0489 (1.00) |
0.0502 (1.00) |
0.88 (1.00) |
0.83 (1.00) |
0.0746 (1.00) |
0.00855 (1.00) |
0.742 (1.00) |
0.0616 (1.00) |
0.25 (1.00) |
0.608 (1.00) |
0.237 (1.00) |
0.0436 (1.00) |
0.904 (1.00) |
5p loss |
0.782 (1.00) |
0.946 (1.00) |
0.23 (1.00) |
0.0739 (1.00) |
0.85 (1.00) |
0.395 (1.00) |
0.916 (1.00) |
0.528 (1.00) |
1 (1.00) |
0.523 (1.00) |
0.00087 (0.915) |
0.371 (1.00) |
0.747 (1.00) |
|
5q loss |
0.597 (1.00) |
0.145 (1.00) |
0.076 (1.00) |
0.0552 (1.00) |
0.931 (1.00) |
0.0527 (1.00) |
0.77 (1.00) |
0.303 (1.00) |
0.493 (1.00) |
0.301 (1.00) |
0.0556 (1.00) |
0.106 (1.00) |
0.958 (1.00) |
|
6p loss |
0.932 (1.00) |
0.0646 (1.00) |
0.26 (1.00) |
0.548 (1.00) |
0.643 (1.00) |
0.586 (1.00) |
0.3 (1.00) |
0.439 (1.00) |
0.412 (1.00) |
0.28 (1.00) |
0.309 (1.00) |
0.172 (1.00) |
0.264 (1.00) |
|
6q loss |
0.808 (1.00) |
0.143 (1.00) |
0.694 (1.00) |
0.0305 (1.00) |
0.491 (1.00) |
0.203 (1.00) |
0.265 (1.00) |
0.576 (1.00) |
0.218 (1.00) |
0.413 (1.00) |
0.139 (1.00) |
0.884 (1.00) |
0.506 (1.00) |
0.276 (1.00) |
7p loss |
0.83 (1.00) |
0.253 (1.00) |
1 (1.00) |
0.366 (1.00) |
0.569 (1.00) |
0.623 (1.00) |
0.671 (1.00) |
0.716 (1.00) |
0.495 (1.00) |
0.564 (1.00) |
0.778 (1.00) |
0.401 (1.00) |
0.307 (1.00) |
|
7q loss |
0.701 (1.00) |
0.206 (1.00) |
0.558 (1.00) |
0.000829 (0.872) |
0.587 (1.00) |
0.935 (1.00) |
0.786 (1.00) |
0.717 (1.00) |
0.526 (1.00) |
0.18 (1.00) |
0.101 (1.00) |
0.167 (1.00) |
||
8p loss |
0.71 (1.00) |
0.739 (1.00) |
1 (1.00) |
0.189 (1.00) |
0.0858 (1.00) |
0.186 (1.00) |
0.898 (1.00) |
0.575 (1.00) |
0.684 (1.00) |
0.608 (1.00) |
0.444 (1.00) |
0.136 (1.00) |
0.0277 (1.00) |
0.288 (1.00) |
8q loss |
0.317 (1.00) |
0.917 (1.00) |
0.773 (1.00) |
0.0129 (1.00) |
0.872 (1.00) |
0.93 (1.00) |
0.764 (1.00) |
0.792 (1.00) |
1 (1.00) |
0.228 (1.00) |
0.0597 (1.00) |
|||
9p loss |
0.00548 (1.00) |
0.386 (1.00) |
0.0939 (1.00) |
0.975 (1.00) |
0.466 (1.00) |
0.255 (1.00) |
0.00303 (1.00) |
0.736 (1.00) |
0.0366 (1.00) |
1 (1.00) |
0.896 (1.00) |
0.107 (1.00) |
0.07 (1.00) |
0.724 (1.00) |
9q loss |
0.197 (1.00) |
0.758 (1.00) |
1 (1.00) |
0.882 (1.00) |
0.403 (1.00) |
0.243 (1.00) |
0.0714 (1.00) |
0.581 (1.00) |
0.229 (1.00) |
0.426 (1.00) |
0.632 (1.00) |
0.93 (1.00) |
0.0214 (1.00) |
0.896 (1.00) |
10p loss |
0.313 (1.00) |
0.359 (1.00) |
0.11 (1.00) |
0.248 (1.00) |
0.778 (1.00) |
0.367 (1.00) |
0.795 (1.00) |
0.894 (1.00) |
0.387 (1.00) |
0.837 (1.00) |
0.561 (1.00) |
0.15 (1.00) |
0.381 (1.00) |
|
10q loss |
0.348 (1.00) |
0.166 (1.00) |
0.846 (1.00) |
1.6e-05 (0.0169) |
0.168 (1.00) |
0.116 (1.00) |
0.907 (1.00) |
0.149 (1.00) |
0.238 (1.00) |
0.192 (1.00) |
0.324 (1.00) |
0.324 (1.00) |
0.907 (1.00) |
|
11p loss |
0.514 (1.00) |
0.00333 (1.00) |
0.297 (1.00) |
0.654 (1.00) |
0.99 (1.00) |
0.143 (1.00) |
0.0457 (1.00) |
0.0545 (1.00) |
1 (1.00) |
0.158 (1.00) |
0.257 (1.00) |
0.043 (1.00) |
0.00149 (1.00) |
|
11q loss |
0.427 (1.00) |
0.557 (1.00) |
0.65 (1.00) |
0.715 (1.00) |
0.234 (1.00) |
0.723 (1.00) |
0.264 (1.00) |
0.065 (1.00) |
0.521 (1.00) |
0.336 (1.00) |
0.0272 (1.00) |
0.411 (1.00) |
0.4 (1.00) |
0.233 (1.00) |
12p loss |
0.366 (1.00) |
0.888 (1.00) |
1 (1.00) |
0.541 (1.00) |
0.634 (1.00) |
0.265 (1.00) |
0.842 (1.00) |
0.382 (1.00) |
0.363 (1.00) |
0.695 (1.00) |
0.536 (1.00) |
0.765 (1.00) |
0.0515 (1.00) |
0.0593 (1.00) |
12q loss |
0.0732 (1.00) |
0.839 (1.00) |
0.65 (1.00) |
0.549 (1.00) |
0.286 (1.00) |
0.476 (1.00) |
0.512 (1.00) |
0.305 (1.00) |
0.62 (1.00) |
0.563 (1.00) |
0.734 (1.00) |
0.134 (1.00) |
0.235 (1.00) |
|
13q loss |
0.136 (1.00) |
0.335 (1.00) |
1 (1.00) |
0.0181 (1.00) |
0.143 (1.00) |
0.392 (1.00) |
0.233 (1.00) |
0.414 (1.00) |
0.322 (1.00) |
0.785 (1.00) |
0.444 (1.00) |
0.78 (1.00) |
0.228 (1.00) |
0.236 (1.00) |
14q loss |
0.621 (1.00) |
0.37 (1.00) |
0.72 (1.00) |
0.814 (1.00) |
0.307 (1.00) |
0.267 (1.00) |
0.891 (1.00) |
0.151 (1.00) |
0.89 (1.00) |
0.449 (1.00) |
0.0358 (1.00) |
0.252 (1.00) |
0.705 (1.00) |
0.331 (1.00) |
15q loss |
0.791 (1.00) |
0.0476 (1.00) |
0.177 (1.00) |
0.746 (1.00) |
0.128 (1.00) |
0.988 (1.00) |
0.951 (1.00) |
0.854 (1.00) |
0.96 (1.00) |
0.579 (1.00) |
0.685 (1.00) |
0.819 (1.00) |
0.419 (1.00) |
0.626 (1.00) |
16p loss |
0.97 (1.00) |
0.172 (1.00) |
0.413 (1.00) |
0.516 (1.00) |
0.837 (1.00) |
0.777 (1.00) |
0.00889 (1.00) |
0.109 (1.00) |
0.193 (1.00) |
0.698 (1.00) |
0.363 (1.00) |
0.0883 (1.00) |
0.674 (1.00) |
|
16q loss |
0.0987 (1.00) |
0.239 (1.00) |
0.75 (1.00) |
0.746 (1.00) |
0.0374 (1.00) |
0.474 (1.00) |
0.266 (1.00) |
0.22 (1.00) |
0.183 (1.00) |
0.744 (1.00) |
0.729 (1.00) |
0.857 (1.00) |
0.248 (1.00) |
0.436 (1.00) |
17p loss |
0.797 (1.00) |
0.48 (1.00) |
0.899 (1.00) |
0.1 (1.00) |
0.899 (1.00) |
0.478 (1.00) |
0.935 (1.00) |
0.852 (1.00) |
0.687 (1.00) |
0.425 (1.00) |
0.185 (1.00) |
0.0471 (1.00) |
0.0828 (1.00) |
0.138 (1.00) |
17q loss |
0.353 (1.00) |
0.473 (1.00) |
0.779 (1.00) |
0.464 (1.00) |
0.375 (1.00) |
0.459 (1.00) |
0.968 (1.00) |
0.639 (1.00) |
1 (1.00) |
0.0273 (1.00) |
0.114 (1.00) |
0.269 (1.00) |
0.124 (1.00) |
|
18p loss |
0.542 (1.00) |
0.0381 (1.00) |
0.303 (1.00) |
0.00531 (1.00) |
0.272 (1.00) |
0.0345 (1.00) |
0.348 (1.00) |
0.1 (1.00) |
0.0135 (1.00) |
0.218 (1.00) |
0.000149 (0.158) |
0.436 (1.00) |
0.409 (1.00) |
0.0212 (1.00) |
18q loss |
0.0239 (1.00) |
0.32 (1.00) |
0.706 (1.00) |
0.452 (1.00) |
0.388 (1.00) |
0.0614 (1.00) |
0.301 (1.00) |
0.353 (1.00) |
0.0131 (1.00) |
0.179 (1.00) |
0.139 (1.00) |
0.284 (1.00) |
0.236 (1.00) |
0.378 (1.00) |
19p loss |
0.047 (1.00) |
0.199 (1.00) |
0.0265 (1.00) |
0.649 (1.00) |
0.622 (1.00) |
0.221 (1.00) |
0.0402 (1.00) |
0.0915 (1.00) |
0.231 (1.00) |
1 (1.00) |
0.312 (1.00) |
0.26 (1.00) |
0.0903 (1.00) |
0.294 (1.00) |
19q loss |
0.143 (1.00) |
0.354 (1.00) |
0.761 (1.00) |
0.00456 (1.00) |
0.073 (1.00) |
0.397 (1.00) |
0.57 (1.00) |
0.103 (1.00) |
0.502 (1.00) |
0.521 (1.00) |
0.213 (1.00) |
0.807 (1.00) |
0.351 (1.00) |
0.337 (1.00) |
20p loss |
0.17 (1.00) |
0.551 (1.00) |
1 (1.00) |
0.679 (1.00) |
0.107 (1.00) |
0.0512 (1.00) |
0.29 (1.00) |
0.261 (1.00) |
0.749 (1.00) |
0.753 (1.00) |
0.458 (1.00) |
0.491 (1.00) |
0.0494 (1.00) |
|
20q loss |
0.519 (1.00) |
0.487 (1.00) |
1 (1.00) |
0.443 (1.00) |
0.913 (1.00) |
0.737 (1.00) |
0.322 (1.00) |
0.707 (1.00) |
1 (1.00) |
0.781 (1.00) |
0.493 (1.00) |
0.378 (1.00) |
0.313 (1.00) |
|
21q loss |
0.912 (1.00) |
0.917 (1.00) |
0.0592 (1.00) |
0.116 (1.00) |
0.537 (1.00) |
0.735 (1.00) |
0.606 (1.00) |
0.74 (1.00) |
0.368 (1.00) |
0.505 (1.00) |
0.229 (1.00) |
0.0175 (1.00) |
0.0124 (1.00) |
0.983 (1.00) |
22q loss |
0.783 (1.00) |
0.144 (1.00) |
0.142 (1.00) |
0.59 (1.00) |
0.72 (1.00) |
0.881 (1.00) |
0.736 (1.00) |
0.201 (1.00) |
0.956 (1.00) |
0.156 (1.00) |
0.238 (1.00) |
0.982 (1.00) |
0.0042 (1.00) |
0.187 (1.00) |
Xq loss |
0.269 (1.00) |
0.251 (1.00) |
0.146 (1.00) |
0.00894 (1.00) |
0.289 (1.00) |
0.873 (1.00) |
0.727 (1.00) |
0.264 (1.00) |
0.0756 (1.00) |
0.507 (1.00) |
0.206 (1.00) |
0.628 (1.00) |
0.889 (1.00) |
Cluster Labels | 1P GAIN MUTATED | 1P GAIN WILD-TYPE |
---|---|---|
Number of samples | 42 | 295 |
Cluster Labels | 1Q GAIN MUTATED | 1Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 131 | 206 |
Cluster Labels | 2P GAIN MUTATED | 2P GAIN WILD-TYPE |
---|---|---|
Number of samples | 41 | 296 |
Cluster Labels | 2Q GAIN MUTATED | 2Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 35 | 302 |
Cluster Labels | 3P GAIN MUTATED | 3P GAIN WILD-TYPE |
---|---|---|
Number of samples | 10 | 327 |
Cluster Labels | 3Q GAIN MUTATED | 3Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 19 | 318 |
Cluster Labels | 4P GAIN MUTATED | 4P GAIN WILD-TYPE |
---|---|---|
Number of samples | 23 | 314 |
Cluster Labels | 4Q GAIN MUTATED | 4Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 7 | 330 |
Cluster Labels | 5P GAIN MUTATED | 5P GAIN WILD-TYPE |
---|---|---|
Number of samples | 129 | 208 |
Cluster Labels | 5Q GAIN MUTATED | 5Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 40 | 297 |
Cluster Labels | 6P GAIN MUTATED | 6P GAIN WILD-TYPE |
---|---|---|
Number of samples | 50 | 287 |
Cluster Labels | 6Q GAIN MUTATED | 6Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 13 | 324 |
Cluster Labels | 7P GAIN MUTATED | 7P GAIN WILD-TYPE |
---|---|---|
Number of samples | 117 | 220 |
Cluster Labels | 7Q GAIN MUTATED | 7Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 84 | 253 |
Cluster Labels | 8P GAIN MUTATED | 8P GAIN WILD-TYPE |
---|---|---|
Number of samples | 40 | 297 |
Cluster Labels | 8Q GAIN MUTATED | 8Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 104 | 233 |
Cluster Labels | 9P GAIN MUTATED | 9P GAIN WILD-TYPE |
---|---|---|
Number of samples | 10 | 327 |
Cluster Labels | 9Q GAIN MUTATED | 9Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 5 | 332 |
P value = 5.82e-07 (Chi-square test), Q value = 0.00062
nPatients | M0 | M1 | M1B | MX |
---|---|---|---|---|
ALL | 230 | 17 | 2 | 80 |
9Q GAIN MUTATED | 3 | 0 | 1 | 1 |
9Q GAIN WILD-TYPE | 227 | 17 | 1 | 79 |
Cluster Labels | 10P GAIN MUTATED | 10P GAIN WILD-TYPE |
---|---|---|
Number of samples | 38 | 299 |
Cluster Labels | 10Q GAIN MUTATED | 10Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 21 | 316 |
Cluster Labels | 11P GAIN MUTATED | 11P GAIN WILD-TYPE |
---|---|---|
Number of samples | 28 | 309 |
Cluster Labels | 11Q GAIN MUTATED | 11Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 39 | 298 |
P value = 6.26e-05 (t-test), Q value = 0.066
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 306 | 65.2 (9.9) |
11Q GAIN MUTATED | 36 | 58.8 (9.4) |
11Q GAIN WILD-TYPE | 270 | 66.1 (9.6) |
Cluster Labels | 12P GAIN MUTATED | 12P GAIN WILD-TYPE |
---|---|---|
Number of samples | 42 | 295 |
Cluster Labels | 12Q GAIN MUTATED | 12Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 36 | 301 |
Cluster Labels | 13Q GAIN MUTATED | 13Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 15 | 322 |
Cluster Labels | 14Q GAIN MUTATED | 14Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 37 | 300 |
Cluster Labels | 15Q GAIN MUTATED | 15Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 10 | 327 |
Cluster Labels | 16P GAIN MUTATED | 16P GAIN WILD-TYPE |
---|---|---|
Number of samples | 44 | 293 |
Cluster Labels | 16Q GAIN MUTATED | 16Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 30 | 307 |
Cluster Labels | 17P GAIN MUTATED | 17P GAIN WILD-TYPE |
---|---|---|
Number of samples | 19 | 318 |
Cluster Labels | 17Q GAIN MUTATED | 17Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 57 | 280 |
Cluster Labels | 18P GAIN MUTATED | 18P GAIN WILD-TYPE |
---|---|---|
Number of samples | 28 | 309 |
Cluster Labels | 18Q GAIN MUTATED | 18Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 17 | 320 |
Cluster Labels | 19P GAIN MUTATED | 19P GAIN WILD-TYPE |
---|---|---|
Number of samples | 7 | 330 |
P value = 2.99e-05 (Chi-square test), Q value = 0.032
nPatients | M0 | M1 | M1B | MX |
---|---|---|---|---|
ALL | 230 | 17 | 2 | 80 |
19P GAIN MUTATED | 4 | 1 | 1 | 1 |
19P GAIN WILD-TYPE | 226 | 16 | 1 | 79 |
Cluster Labels | 19Q GAIN MUTATED | 19Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 18 | 319 |
Cluster Labels | 20P GAIN MUTATED | 20P GAIN WILD-TYPE |
---|---|---|
Number of samples | 48 | 289 |
Cluster Labels | 20Q GAIN MUTATED | 20Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 60 | 277 |
Cluster Labels | 21Q GAIN MUTATED | 21Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 29 | 308 |
Cluster Labels | 22Q GAIN MUTATED | 22Q GAIN WILD-TYPE |
---|---|---|
Number of samples | 15 | 322 |
Cluster Labels | XQ GAIN MUTATED | XQ GAIN WILD-TYPE |
---|---|---|
Number of samples | 15 | 322 |
Cluster Labels | 1P LOSS MUTATED | 1P LOSS WILD-TYPE |
---|---|---|
Number of samples | 26 | 311 |
Cluster Labels | 1Q LOSS MUTATED | 1Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 9 | 328 |
P value = 5.05e-05 (logrank test), Q value = 0.053
nPatients | nDeath | Duration Range (Median), Month | |
---|---|---|---|
ALL | 301 | 82 | 0.0 - 224.0 (9.4) |
1Q LOSS MUTATED | 7 | 3 | 0.1 - 12.2 (5.7) |
1Q LOSS WILD-TYPE | 294 | 79 | 0.0 - 224.0 (9.8) |
Cluster Labels | 2P LOSS MUTATED | 2P LOSS WILD-TYPE |
---|---|---|
Number of samples | 4 | 333 |
Cluster Labels | 3P LOSS MUTATED | 3P LOSS WILD-TYPE |
---|---|---|
Number of samples | 68 | 269 |
Cluster Labels | 3Q LOSS MUTATED | 3Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 40 | 297 |
Cluster Labels | 4P LOSS MUTATED | 4P LOSS WILD-TYPE |
---|---|---|
Number of samples | 32 | 305 |
Cluster Labels | 4Q LOSS MUTATED | 4Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 36 | 301 |
Cluster Labels | 5P LOSS MUTATED | 5P LOSS WILD-TYPE |
---|---|---|
Number of samples | 11 | 326 |
Cluster Labels | 5Q LOSS MUTATED | 5Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 45 | 292 |
Cluster Labels | 6P LOSS MUTATED | 6P LOSS WILD-TYPE |
---|---|---|
Number of samples | 31 | 306 |
Cluster Labels | 6Q LOSS MUTATED | 6Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 76 | 261 |
Cluster Labels | 7P LOSS MUTATED | 7P LOSS WILD-TYPE |
---|---|---|
Number of samples | 11 | 326 |
Cluster Labels | 7Q LOSS MUTATED | 7Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 12 | 325 |
Cluster Labels | 8P LOSS MUTATED | 8P LOSS WILD-TYPE |
---|---|---|
Number of samples | 90 | 247 |
Cluster Labels | 8Q LOSS MUTATED | 8Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 12 | 325 |
Cluster Labels | 9P LOSS MUTATED | 9P LOSS WILD-TYPE |
---|---|---|
Number of samples | 100 | 237 |
Cluster Labels | 9Q LOSS MUTATED | 9Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 85 | 252 |
Cluster Labels | 10P LOSS MUTATED | 10P LOSS WILD-TYPE |
---|---|---|
Number of samples | 27 | 310 |
Cluster Labels | 10Q LOSS MUTATED | 10Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 29 | 308 |
P value = 1.6e-05 (Chi-square test), Q value = 0.017
nPatients | LUNG ACINAR ADENOCARCINOMA | LUNG ADENOCARCINOMA MIXED SUBTYPE | LUNG ADENOCARCINOMA- NOT OTHERWISE SPECIFIED (NOS) | LUNG BRONCHIOLOALVEOLAR CARCINOMA MUCINOUS | LUNG BRONCHIOLOALVEOLAR CARCINOMA NONMUCINOUS | LUNG CLEAR CELL ADENOCARCINOMA | LUNG MICROPAPILLARY ADENOCARCINOMA | LUNG MUCINOUS ADENOCARCINOMA | LUNG PAPILLARY ADENOCARCINOMA | LUNG SOLID PATTERN PREDOMINANT ADENOCARCINOMA | MUCINOUS (COLLOID) ADENOCARCINOMA |
---|---|---|---|---|---|---|---|---|---|---|---|
ALL | 10 | 75 | 205 | 3 | 15 | 2 | 3 | 2 | 13 | 2 | 7 |
10Q LOSS MUTATED | 1 | 5 | 17 | 1 | 0 | 0 | 2 | 0 | 0 | 2 | 1 |
10Q LOSS WILD-TYPE | 9 | 70 | 188 | 2 | 15 | 2 | 1 | 2 | 13 | 0 | 6 |
Cluster Labels | 11P LOSS MUTATED | 11P LOSS WILD-TYPE |
---|---|---|
Number of samples | 25 | 312 |
Cluster Labels | 11Q LOSS MUTATED | 11Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 20 | 317 |
Cluster Labels | 12P LOSS MUTATED | 12P LOSS WILD-TYPE |
---|---|---|
Number of samples | 30 | 307 |
Cluster Labels | 12Q LOSS MUTATED | 12Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 20 | 317 |
Cluster Labels | 13Q LOSS MUTATED | 13Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 76 | 261 |
Cluster Labels | 14Q LOSS MUTATED | 14Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 35 | 302 |
Cluster Labels | 15Q LOSS MUTATED | 15Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 70 | 267 |
Cluster Labels | 16P LOSS MUTATED | 16P LOSS WILD-TYPE |
---|---|---|
Number of samples | 26 | 311 |
Cluster Labels | 16Q LOSS MUTATED | 16Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 46 | 291 |
Cluster Labels | 17P LOSS MUTATED | 17P LOSS WILD-TYPE |
---|---|---|
Number of samples | 82 | 255 |
Cluster Labels | 17Q LOSS MUTATED | 17Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 13 | 324 |
Cluster Labels | 18P LOSS MUTATED | 18P LOSS WILD-TYPE |
---|---|---|
Number of samples | 55 | 282 |
P value = 0.000149 (t-test), Q value = 0.16
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 234 | 40.3 (27.1) |
18P LOSS MUTATED | 37 | 28.5 (17.6) |
18P LOSS WILD-TYPE | 197 | 42.5 (28.0) |
Cluster Labels | 18Q LOSS MUTATED | 18Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 84 | 253 |
Cluster Labels | 19P LOSS MUTATED | 19P LOSS WILD-TYPE |
---|---|---|
Number of samples | 91 | 246 |
Cluster Labels | 19Q LOSS MUTATED | 19Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 51 | 286 |
Cluster Labels | 20P LOSS MUTATED | 20P LOSS WILD-TYPE |
---|---|---|
Number of samples | 47 | 290 |
Cluster Labels | 20Q LOSS MUTATED | 20Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 17 | 320 |
Cluster Labels | 21Q LOSS MUTATED | 21Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 48 | 289 |
Cluster Labels | 22Q LOSS MUTATED | 22Q LOSS WILD-TYPE |
---|---|---|
Number of samples | 72 | 265 |
Cluster Labels | XQ LOSS MUTATED | XQ LOSS WILD-TYPE |
---|---|---|
Number of samples | 8 | 329 |
-
Cluster data file = broad_values_by_arm.mutsig.cluster.txt
-
Clinical data file = LUAD-TP.clin.merged.picked.txt
-
Number of patients = 337
-
Number of clustering approaches = 79
-
Number of selected clinical features = 14
-
Exclude small clusters that include fewer than K patients, 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 two tumor subtypes using 't.test' function in R
For binary clinical features, two-tailed Fisher's exact tests (Fisher 1922) were used to estimate the P values using the 'fisher.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 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.