This pipeline computes the correlation between significant copy number variation (cnv focal) genes and molecular subtypes.
Testing the association between copy number variation 40 focal events and 10 molecular subtypes across 221 patients, 30 significant findings detected with P value < 0.05 and Q value < 0.25.
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2p cnv correlated to 'CN_CNMF'.
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2q cnv correlated to 'CN_CNMF'.
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3p cnv correlated to 'MIRSEQ_MATURE_CNMF'.
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3q cnv correlated to 'CN_CNMF' and 'MIRSEQ_MATURE_CNMF'.
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4p cnv correlated to 'CN_CNMF'.
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4q cnv correlated to 'CN_CNMF'.
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5p cnv correlated to 'CN_CNMF'.
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5q cnv correlated to 'CN_CNMF'.
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6q cnv correlated to 'CN_CNMF'.
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7p cnv correlated to 'CN_CNMF'.
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7q cnv correlated to 'CN_CNMF'.
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8p cnv correlated to 'CN_CNMF'.
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10p cnv correlated to 'CN_CNMF'.
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10q cnv correlated to 'CN_CNMF' and 'METHLYATION_CNMF'.
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11p cnv correlated to 'CN_CNMF'.
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11q cnv correlated to 'CN_CNMF'.
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12p cnv correlated to 'CN_CNMF'.
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16p cnv correlated to 'CN_CNMF'.
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16q cnv correlated to 'CN_CNMF'.
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17p cnv correlated to 'CN_CNMF'.
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18p cnv correlated to 'CN_CNMF'.
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18q cnv correlated to 'CN_CNMF'.
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19p cnv correlated to 'CN_CNMF'.
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19q cnv correlated to 'CN_CNMF'.
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20q cnv correlated to 'CN_CNMF'.
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21q cnv correlated to 'CN_CNMF'.
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22q cnv correlated to 'CN_CNMF' and 'METHLYATION_CNMF'.
Table 1. Get Full Table Overview of the association between significant copy number variation of 40 focal events and 10 molecular subtypes. Shown in the table are P values (Q values). Thresholded by P value < 0.05 and Q value < 0.25, 30 significant findings detected.
Clinical Features |
CN CNMF |
METHLYATION CNMF |
RPPA CNMF |
RPPA CHIERARCHICAL |
MRNASEQ CNMF |
MRNASEQ CHIERARCHICAL |
MIRSEQ CNMF |
MIRSEQ CHIERARCHICAL |
MIRSEQ MATURE CNMF |
MIRSEQ MATURE CHIERARCHICAL |
||
nCNV (%) | nWild-Type | Chi-square test | Fisher's exact 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 | Fisher's exact test | |
3q | 109 (49%) | 112 |
0.000573 (0.213) |
0.841 (1.00) |
0.582 (1.00) |
0.707 (1.00) |
0.548 (1.00) |
0.622 (1.00) |
0.015 (1.00) |
0.0304 (1.00) |
0.000117 (0.0445) |
0.0105 (1.00) |
10q | 93 (42%) | 128 |
9.94e-06 (0.00388) |
0.000278 (0.104) |
0.41 (1.00) |
0.944 (1.00) |
0.237 (1.00) |
0.145 (1.00) |
0.2 (1.00) |
0.0956 (1.00) |
0.458 (1.00) |
0.19 (1.00) |
22q | 116 (52%) | 105 |
4.24e-10 (1.7e-07) |
0.000263 (0.0986) |
0.825 (1.00) |
0.0768 (1.00) |
0.0509 (1.00) |
0.458 (1.00) |
0.34 (1.00) |
0.0995 (1.00) |
0.254 (1.00) |
0.0272 (1.00) |
2p | 89 (40%) | 132 |
5.84e-08 (2.31e-05) |
0.02 (1.00) |
0.532 (1.00) |
0.888 (1.00) |
0.0279 (1.00) |
0.0433 (1.00) |
0.107 (1.00) |
0.0692 (1.00) |
0.359 (1.00) |
0.0063 (1.00) |
2q | 81 (37%) | 140 |
2.27e-06 (0.000894) |
0.00492 (1.00) |
0.777 (1.00) |
0.824 (1.00) |
0.0413 (1.00) |
0.0585 (1.00) |
0.808 (1.00) |
0.636 (1.00) |
0.851 (1.00) |
0.082 (1.00) |
3p | 104 (47%) | 117 |
0.000836 (0.309) |
0.635 (1.00) |
0.0968 (1.00) |
0.351 (1.00) |
0.6 (1.00) |
0.366 (1.00) |
0.0387 (1.00) |
0.112 (1.00) |
0.000175 (0.0662) |
0.0322 (1.00) |
4p | 100 (45%) | 121 |
4.8e-05 (0.0184) |
0.0886 (1.00) |
0.852 (1.00) |
0.8 (1.00) |
0.364 (1.00) |
0.22 (1.00) |
0.575 (1.00) |
0.377 (1.00) |
0.421 (1.00) |
0.815 (1.00) |
4q | 94 (43%) | 127 |
1.59e-05 (0.00617) |
0.0729 (1.00) |
0.533 (1.00) |
0.631 (1.00) |
0.214 (1.00) |
0.131 (1.00) |
0.236 (1.00) |
0.394 (1.00) |
0.0793 (1.00) |
0.631 (1.00) |
5p | 125 (57%) | 96 |
0.000115 (0.0437) |
0.0819 (1.00) |
0.348 (1.00) |
0.134 (1.00) |
0.149 (1.00) |
0.139 (1.00) |
0.163 (1.00) |
0.245 (1.00) |
0.25 (1.00) |
0.22 (1.00) |
5q | 115 (52%) | 106 |
0.000297 (0.111) |
0.0732 (1.00) |
0.334 (1.00) |
0.751 (1.00) |
0.0243 (1.00) |
0.00391 (1.00) |
0.113 (1.00) |
0.068 (1.00) |
0.0457 (1.00) |
0.137 (1.00) |
6q | 99 (45%) | 122 |
3.25e-06 (0.00127) |
0.00685 (1.00) |
0.87 (1.00) |
0.97 (1.00) |
0.635 (1.00) |
0.59 (1.00) |
0.279 (1.00) |
0.075 (1.00) |
0.214 (1.00) |
0.481 (1.00) |
7p | 102 (46%) | 119 |
5.75e-05 (0.022) |
0.00113 (0.413) |
0.0461 (1.00) |
0.917 (1.00) |
0.391 (1.00) |
0.683 (1.00) |
0.159 (1.00) |
0.183 (1.00) |
0.059 (1.00) |
0.208 (1.00) |
7q | 95 (43%) | 126 |
0.000103 (0.0392) |
0.00724 (1.00) |
0.306 (1.00) |
0.9 (1.00) |
0.532 (1.00) |
0.21 (1.00) |
0.334 (1.00) |
0.258 (1.00) |
0.164 (1.00) |
0.694 (1.00) |
8p | 143 (65%) | 78 |
0.000213 (0.0803) |
0.00577 (1.00) |
0.896 (1.00) |
0.502 (1.00) |
0.00333 (1.00) |
0.291 (1.00) |
0.0809 (1.00) |
0.117 (1.00) |
0.0156 (1.00) |
0.0677 (1.00) |
10p | 105 (48%) | 116 |
2.22e-09 (8.88e-07) |
0.00994 (1.00) |
0.389 (1.00) |
0.72 (1.00) |
0.0442 (1.00) |
0.808 (1.00) |
0.361 (1.00) |
0.417 (1.00) |
0.0718 (1.00) |
0.105 (1.00) |
11p | 110 (50%) | 111 |
2.23e-07 (8.79e-05) |
0.00436 (1.00) |
0.301 (1.00) |
0.554 (1.00) |
0.199 (1.00) |
0.192 (1.00) |
0.126 (1.00) |
0.308 (1.00) |
0.259 (1.00) |
0.899 (1.00) |
11q | 98 (44%) | 123 |
6.17e-09 (2.45e-06) |
0.0361 (1.00) |
0.0661 (1.00) |
0.22 (1.00) |
0.0681 (1.00) |
0.703 (1.00) |
0.637 (1.00) |
0.892 (1.00) |
0.306 (1.00) |
0.853 (1.00) |
12p | 88 (40%) | 133 |
0.000286 (0.107) |
0.0822 (1.00) |
0.831 (1.00) |
0.669 (1.00) |
0.521 (1.00) |
0.504 (1.00) |
0.567 (1.00) |
0.264 (1.00) |
0.606 (1.00) |
0.142 (1.00) |
16p | 96 (43%) | 125 |
2.14e-05 (0.00829) |
0.0398 (1.00) |
0.298 (1.00) |
0.227 (1.00) |
0.166 (1.00) |
0.463 (1.00) |
0.845 (1.00) |
0.394 (1.00) |
0.332 (1.00) |
0.414 (1.00) |
16q | 100 (45%) | 121 |
2.97e-06 (0.00117) |
0.038 (1.00) |
0.388 (1.00) |
0.418 (1.00) |
0.131 (1.00) |
0.793 (1.00) |
0.397 (1.00) |
0.183 (1.00) |
0.717 (1.00) |
0.233 (1.00) |
17p | 129 (58%) | 92 |
2.75e-05 (0.0106) |
0.199 (1.00) |
0.907 (1.00) |
0.627 (1.00) |
0.0504 (1.00) |
0.808 (1.00) |
0.269 (1.00) |
0.0386 (1.00) |
0.935 (1.00) |
0.66 (1.00) |
18p | 117 (53%) | 104 |
9.03e-09 (3.59e-06) |
0.00557 (1.00) |
0.552 (1.00) |
0.651 (1.00) |
0.0331 (1.00) |
0.716 (1.00) |
1 (1.00) |
0.648 (1.00) |
0.375 (1.00) |
0.573 (1.00) |
18q | 110 (50%) | 111 |
3.67e-05 (0.0141) |
0.0215 (1.00) |
0.281 (1.00) |
0.333 (1.00) |
0.356 (1.00) |
0.854 (1.00) |
0.351 (1.00) |
0.0611 (1.00) |
0.351 (1.00) |
0.753 (1.00) |
19p | 101 (46%) | 120 |
2.94e-05 (0.0114) |
0.0834 (1.00) |
0.92 (1.00) |
0.7 (1.00) |
0.0802 (1.00) |
0.137 (1.00) |
0.147 (1.00) |
0.0205 (1.00) |
0.534 (1.00) |
0.651 (1.00) |
19q | 108 (49%) | 113 |
6.35e-07 (0.00025) |
0.00586 (1.00) |
0.649 (1.00) |
0.87 (1.00) |
0.712 (1.00) |
0.414 (1.00) |
0.236 (1.00) |
0.186 (1.00) |
0.66 (1.00) |
0.354 (1.00) |
20q | 133 (60%) | 88 |
0.000249 (0.0936) |
0.0321 (1.00) |
0.578 (1.00) |
0.379 (1.00) |
0.683 (1.00) |
0.232 (1.00) |
0.294 (1.00) |
0.0458 (1.00) |
0.0376 (1.00) |
0.291 (1.00) |
21q | 102 (46%) | 119 |
3.34e-05 (0.0129) |
0.0373 (1.00) |
0.88 (1.00) |
0.334 (1.00) |
0.323 (1.00) |
0.971 (1.00) |
0.00742 (1.00) |
0.0016 (0.578) |
0.315 (1.00) |
0.0674 (1.00) |
1p | 69 (31%) | 152 |
0.0259 (1.00) |
0.513 (1.00) |
0.375 (1.00) |
0.12 (1.00) |
0.781 (1.00) |
0.523 (1.00) |
0.447 (1.00) |
0.0435 (1.00) |
0.933 (1.00) |
0.611 (1.00) |
1q | 90 (41%) | 131 |
0.286 (1.00) |
0.851 (1.00) |
0.879 (1.00) |
0.754 (1.00) |
0.783 (1.00) |
0.202 (1.00) |
0.698 (1.00) |
0.152 (1.00) |
0.982 (1.00) |
0.697 (1.00) |
6p | 87 (39%) | 134 |
0.000866 (0.32) |
0.016 (1.00) |
0.763 (1.00) |
0.362 (1.00) |
0.789 (1.00) |
0.631 (1.00) |
0.109 (1.00) |
0.149 (1.00) |
0.482 (1.00) |
0.722 (1.00) |
8q | 122 (55%) | 99 |
0.0636 (1.00) |
0.0138 (1.00) |
0.405 (1.00) |
0.19 (1.00) |
0.402 (1.00) |
0.864 (1.00) |
0.478 (1.00) |
0.0905 (1.00) |
0.306 (1.00) |
0.521 (1.00) |
9p | 128 (58%) | 93 |
0.0275 (1.00) |
0.249 (1.00) |
0.0641 (1.00) |
0.277 (1.00) |
0.558 (1.00) |
0.118 (1.00) |
0.789 (1.00) |
0.396 (1.00) |
0.88 (1.00) |
0.936 (1.00) |
9q | 116 (52%) | 105 |
0.0729 (1.00) |
0.354 (1.00) |
0.173 (1.00) |
0.546 (1.00) |
0.437 (1.00) |
0.0344 (1.00) |
0.767 (1.00) |
0.709 (1.00) |
0.648 (1.00) |
0.551 (1.00) |
12q | 77 (35%) | 144 |
0.00155 (0.561) |
0.0905 (1.00) |
0.645 (1.00) |
0.245 (1.00) |
0.753 (1.00) |
0.512 (1.00) |
0.154 (1.00) |
0.0506 (1.00) |
0.427 (1.00) |
0.185 (1.00) |
13q | 104 (47%) | 117 |
0.00725 (1.00) |
0.337 (1.00) |
0.0223 (1.00) |
0.0364 (1.00) |
0.0818 (1.00) |
0.852 (1.00) |
0.853 (1.00) |
0.36 (1.00) |
0.627 (1.00) |
0.388 (1.00) |
14q | 99 (45%) | 122 |
0.000999 (0.367) |
0.0178 (1.00) |
0.458 (1.00) |
0.224 (1.00) |
0.0381 (1.00) |
0.76 (1.00) |
0.0508 (1.00) |
0.227 (1.00) |
0.298 (1.00) |
0.759 (1.00) |
15q | 96 (43%) | 125 |
0.0314 (1.00) |
0.0922 (1.00) |
0.2 (1.00) |
0.705 (1.00) |
0.0768 (1.00) |
0.384 (1.00) |
0.189 (1.00) |
0.258 (1.00) |
0.201 (1.00) |
0.26 (1.00) |
17q | 103 (47%) | 118 |
0.000917 (0.337) |
0.065 (1.00) |
0.148 (1.00) |
0.451 (1.00) |
0.0417 (1.00) |
0.0957 (1.00) |
0.0293 (1.00) |
0.00593 (1.00) |
0.0429 (1.00) |
0.0384 (1.00) |
20p | 128 (58%) | 93 |
0.00111 (0.406) |
0.093 (1.00) |
0.844 (1.00) |
0.208 (1.00) |
0.895 (1.00) |
0.0737 (1.00) |
0.257 (1.00) |
0.00934 (1.00) |
0.0214 (1.00) |
0.0505 (1.00) |
xq | 71 (32%) | 150 |
0.00113 (0.413) |
0.00729 (1.00) |
0.84 (1.00) |
0.847 (1.00) |
0.0186 (1.00) |
0.414 (1.00) |
0.0755 (1.00) |
0.548 (1.00) |
0.352 (1.00) |
0.409 (1.00) |
P value = 5.84e-08 (Chi-square test), Q value = 2.3e-05
Table S1. Gene #3: '2p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
2P MUTATED | 8 | 11 | 8 | 9 | 23 | 13 | 12 | 5 |
2P WILD-TYPE | 10 | 68 | 15 | 5 | 15 | 12 | 2 | 5 |
Figure S1. Get High-res Image Gene #3: '2p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 2.27e-06 (Chi-square test), Q value = 0.00089
Table S2. Gene #4: '2q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
2Q MUTATED | 9 | 10 | 9 | 6 | 23 | 9 | 10 | 5 |
2Q WILD-TYPE | 9 | 69 | 14 | 8 | 15 | 16 | 4 | 5 |
Figure S2. Get High-res Image Gene #4: '2q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000175 (Fisher's exact test), Q value = 0.066
Table S3. Gene #5: '3p' versus Molecular Subtype #9: 'MIRSEQ_MATURE_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 |
---|---|---|---|---|
ALL | 33 | 60 | 67 | 49 |
3P MUTATED | 23 | 35 | 20 | 18 |
3P WILD-TYPE | 10 | 25 | 47 | 31 |
Figure S3. Get High-res Image Gene #5: '3p' versus Molecular Subtype #9: 'MIRSEQ_MATURE_CNMF'

P value = 0.000573 (Chi-square test), Q value = 0.21
Table S4. Gene #6: '3q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
3Q MUTATED | 11 | 28 | 6 | 9 | 19 | 19 | 11 | 6 |
3Q WILD-TYPE | 7 | 51 | 17 | 5 | 19 | 6 | 3 | 4 |
Figure S4. Get High-res Image Gene #6: '3q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000117 (Fisher's exact test), Q value = 0.045
Table S5. Gene #6: '3q' versus Molecular Subtype #9: 'MIRSEQ_MATURE_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 |
---|---|---|---|---|
ALL | 33 | 60 | 67 | 49 |
3Q MUTATED | 26 | 33 | 23 | 19 |
3Q WILD-TYPE | 7 | 27 | 44 | 30 |
Figure S5. Get High-res Image Gene #6: '3q' versus Molecular Subtype #9: 'MIRSEQ_MATURE_CNMF'

P value = 4.8e-05 (Chi-square test), Q value = 0.018
Table S6. Gene #7: '4p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
4P MUTATED | 10 | 18 | 9 | 11 | 24 | 15 | 7 | 6 |
4P WILD-TYPE | 8 | 61 | 14 | 3 | 14 | 10 | 7 | 4 |
Figure S6. Get High-res Image Gene #7: '4p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 1.59e-05 (Chi-square test), Q value = 0.0062
Table S7. Gene #8: '4q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
4Q MUTATED | 11 | 14 | 11 | 9 | 24 | 13 | 8 | 4 |
4Q WILD-TYPE | 7 | 65 | 12 | 5 | 14 | 12 | 6 | 6 |
Figure S7. Get High-res Image Gene #8: '4q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000115 (Chi-square test), Q value = 0.044
Table S8. Gene #9: '5p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
5P MUTATED | 14 | 28 | 14 | 10 | 24 | 19 | 12 | 4 |
5P WILD-TYPE | 4 | 51 | 9 | 4 | 14 | 6 | 2 | 6 |
Figure S8. Get High-res Image Gene #9: '5p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000297 (Chi-square test), Q value = 0.11
Table S9. Gene #10: '5q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
5Q MUTATED | 14 | 24 | 15 | 10 | 24 | 15 | 9 | 4 |
5Q WILD-TYPE | 4 | 55 | 8 | 4 | 14 | 10 | 5 | 6 |
Figure S9. Get High-res Image Gene #10: '5q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 3.25e-06 (Chi-square test), Q value = 0.0013
Table S10. Gene #12: '6q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
6Q MUTATED | 12 | 16 | 11 | 8 | 25 | 10 | 9 | 8 |
6Q WILD-TYPE | 6 | 63 | 12 | 6 | 13 | 15 | 5 | 2 |
Figure S10. Get High-res Image Gene #12: '6q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 5.75e-05 (Chi-square test), Q value = 0.022
Table S11. Gene #13: '7p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
7P MUTATED | 10 | 19 | 8 | 9 | 25 | 15 | 9 | 7 |
7P WILD-TYPE | 8 | 60 | 15 | 5 | 13 | 10 | 5 | 3 |
Figure S11. Get High-res Image Gene #13: '7p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000103 (Chi-square test), Q value = 0.039
Table S12. Gene #14: '7q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
7Q MUTATED | 9 | 18 | 8 | 5 | 25 | 14 | 9 | 7 |
7Q WILD-TYPE | 9 | 61 | 15 | 9 | 13 | 11 | 5 | 3 |
Figure S12. Get High-res Image Gene #14: '7q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000213 (Chi-square test), Q value = 0.08
Table S13. Gene #15: '8p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
8P MUTATED | 15 | 34 | 17 | 12 | 28 | 21 | 9 | 7 |
8P WILD-TYPE | 3 | 45 | 6 | 2 | 10 | 4 | 5 | 3 |
Figure S13. Get High-res Image Gene #15: '8p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 2.22e-09 (Chi-square test), Q value = 8.9e-07
Table S14. Gene #19: '10p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
10P MUTATED | 11 | 12 | 12 | 9 | 26 | 18 | 10 | 7 |
10P WILD-TYPE | 7 | 67 | 11 | 5 | 12 | 7 | 4 | 3 |
Figure S14. Get High-res Image Gene #19: '10p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 9.94e-06 (Chi-square test), Q value = 0.0039
Table S15. Gene #20: '10q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
10Q MUTATED | 9 | 13 | 11 | 9 | 23 | 14 | 9 | 5 |
10Q WILD-TYPE | 9 | 66 | 12 | 5 | 15 | 11 | 5 | 5 |
Figure S15. Get High-res Image Gene #20: '10q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000278 (Fisher's exact test), Q value = 0.1
Table S16. Gene #20: '10q' versus Molecular Subtype #2: 'METHLYATION_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 81 | 88 | 52 |
10Q MUTATED | 48 | 31 | 14 |
10Q WILD-TYPE | 33 | 57 | 38 |
Figure S16. Get High-res Image Gene #20: '10q' versus Molecular Subtype #2: 'METHLYATION_CNMF'

P value = 2.23e-07 (Chi-square test), Q value = 8.8e-05
Table S17. Gene #21: '11p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
11P MUTATED | 15 | 20 | 9 | 8 | 28 | 14 | 7 | 9 |
11P WILD-TYPE | 3 | 59 | 14 | 6 | 10 | 11 | 7 | 1 |
Figure S17. Get High-res Image Gene #21: '11p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 6.17e-09 (Chi-square test), Q value = 2.5e-06
Table S18. Gene #22: '11q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
11Q MUTATED | 14 | 13 | 8 | 8 | 25 | 13 | 8 | 9 |
11Q WILD-TYPE | 4 | 66 | 15 | 6 | 13 | 12 | 6 | 1 |
Figure S18. Get High-res Image Gene #22: '11q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000286 (Chi-square test), Q value = 0.11
Table S19. Gene #23: '12p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
12P MUTATED | 11 | 16 | 9 | 9 | 20 | 12 | 4 | 7 |
12P WILD-TYPE | 7 | 63 | 14 | 5 | 18 | 13 | 10 | 3 |
Figure S19. Get High-res Image Gene #23: '12p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 2.14e-05 (Chi-square test), Q value = 0.0083
Table S20. Gene #28: '16p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
16P MUTATED | 11 | 15 | 16 | 8 | 19 | 13 | 7 | 7 |
16P WILD-TYPE | 7 | 64 | 7 | 6 | 19 | 12 | 7 | 3 |
Figure S20. Get High-res Image Gene #28: '16p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 2.97e-06 (Chi-square test), Q value = 0.0012
Table S21. Gene #29: '16q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
16Q MUTATED | 12 | 15 | 14 | 8 | 23 | 14 | 6 | 8 |
16Q WILD-TYPE | 6 | 64 | 9 | 6 | 15 | 11 | 8 | 2 |
Figure S21. Get High-res Image Gene #29: '16q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 2.75e-05 (Chi-square test), Q value = 0.011
Table S22. Gene #30: '17p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
17P MUTATED | 16 | 29 | 12 | 7 | 27 | 19 | 11 | 8 |
17P WILD-TYPE | 2 | 50 | 11 | 7 | 11 | 6 | 3 | 2 |
Figure S22. Get High-res Image Gene #30: '17p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 9.03e-09 (Chi-square test), Q value = 3.6e-06
Table S23. Gene #32: '18p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
18P MUTATED | 10 | 17 | 17 | 11 | 28 | 17 | 10 | 7 |
18P WILD-TYPE | 8 | 62 | 6 | 3 | 10 | 8 | 4 | 3 |
Figure S23. Get High-res Image Gene #32: '18p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 3.67e-05 (Chi-square test), Q value = 0.014
Table S24. Gene #33: '18q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
18Q MUTATED | 11 | 21 | 16 | 12 | 24 | 12 | 8 | 6 |
18Q WILD-TYPE | 7 | 58 | 7 | 2 | 14 | 13 | 6 | 4 |
Figure S24. Get High-res Image Gene #33: '18q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 2.94e-05 (Chi-square test), Q value = 0.011
Table S25. Gene #34: '19p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
19P MUTATED | 5 | 20 | 10 | 9 | 24 | 15 | 11 | 7 |
19P WILD-TYPE | 13 | 59 | 13 | 5 | 14 | 10 | 3 | 3 |
Figure S25. Get High-res Image Gene #34: '19p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 6.35e-07 (Chi-square test), Q value = 0.00025
Table S26. Gene #35: '19q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
19Q MUTATED | 7 | 19 | 10 | 9 | 28 | 17 | 11 | 7 |
19Q WILD-TYPE | 11 | 60 | 13 | 5 | 10 | 8 | 3 | 3 |
Figure S26. Get High-res Image Gene #35: '19q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000249 (Chi-square test), Q value = 0.094
Table S27. Gene #37: '20q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
20Q MUTATED | 14 | 30 | 15 | 10 | 26 | 19 | 10 | 9 |
20Q WILD-TYPE | 4 | 49 | 8 | 4 | 12 | 6 | 4 | 1 |
Figure S27. Get High-res Image Gene #37: '20q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 3.34e-05 (Chi-square test), Q value = 0.013
Table S28. Gene #38: '21q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
21Q MUTATED | 10 | 17 | 14 | 10 | 21 | 17 | 7 | 6 |
21Q WILD-TYPE | 8 | 62 | 9 | 4 | 17 | 8 | 7 | 4 |
Figure S28. Get High-res Image Gene #38: '21q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 4.24e-10 (Chi-square test), Q value = 1.7e-07
Table S29. Gene #39: '22q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 | CLUS_4 | CLUS_5 | CLUS_6 | CLUS_7 | CLUS_8 |
---|---|---|---|---|---|---|---|---|
ALL | 18 | 79 | 23 | 14 | 38 | 25 | 14 | 10 |
22Q MUTATED | 12 | 16 | 18 | 8 | 26 | 20 | 7 | 9 |
22Q WILD-TYPE | 6 | 63 | 5 | 6 | 12 | 5 | 7 | 1 |
Figure S29. Get High-res Image Gene #39: '22q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000263 (Fisher's exact test), Q value = 0.099
Table S30. Gene #39: '22q' versus Molecular Subtype #2: 'METHLYATION_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 81 | 88 | 52 |
22Q MUTATED | 54 | 46 | 16 |
22Q WILD-TYPE | 27 | 42 | 36 |
Figure S30. Get High-res Image Gene #39: '22q' versus Molecular Subtype #2: 'METHLYATION_CNMF'

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Copy number data file = transformed.cor.cli.txt
-
Molecular subtype file = BLCA-TP.transferedmergedcluster.txt
-
Number of patients = 221
-
Number of significantly focal cnvs = 40
-
Number of molecular subtypes = 10
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Exclude genes that fewer than K tumors have alterations, K = 3
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.