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 292 patients, 25 significant findings detected with P value < 0.05 and Q value < 0.25.
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1q cnv correlated to 'CN_CNMF'.
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6p cnv correlated to 'CN_CNMF' and 'METHLYATION_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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8q cnv correlated to 'CN_CNMF' and 'MRNASEQ_CNMF'.
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9p cnv correlated to 'CN_CNMF'.
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10p cnv correlated to 'CN_CNMF' and 'MRNASEQ_CNMF'.
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10q cnv correlated to 'CN_CNMF', 'MRNASEQ_CNMF', and 'MRNASEQ_CHIERARCHICAL'.
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11q cnv correlated to 'CN_CNMF'.
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12p cnv correlated to 'CN_CNMF'.
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13q cnv correlated to 'CN_CNMF'.
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14q 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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20p cnv correlated to 'CN_CNMF' and 'MRNASEQ_CNMF'.
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20q cnv correlated to 'CN_CNMF'.
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xq cnv correlated to 'METHLYATION_CNMF' and 'MRNASEQ_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, 25 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 | 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 | Fisher's exact test | Fisher's exact test | Fisher's exact test | |
10q | 182 (62%) | 110 |
1.9e-09 (7.59e-07) |
0.0509 (1.00) |
0.794 (1.00) |
0.0893 (1.00) |
4.4e-06 (0.00172) |
2.13e-05 (0.00826) |
0.737 (1.00) |
0.0503 (1.00) |
0.561 (1.00) |
0.484 (1.00) |
6p | 173 (59%) | 119 |
6.65e-07 (0.000264) |
5.69e-05 (0.0219) |
0.793 (1.00) |
0.0729 (1.00) |
0.13 (1.00) |
0.0166 (1.00) |
0.351 (1.00) |
0.1 (1.00) |
0.399 (1.00) |
0.193 (1.00) |
8q | 155 (53%) | 137 |
4.15e-06 (0.00163) |
0.00511 (1.00) |
0.292 (1.00) |
0.909 (1.00) |
0.000357 (0.135) |
0.0447 (1.00) |
0.345 (1.00) |
0.305 (1.00) |
0.227 (1.00) |
0.566 (1.00) |
10p | 173 (59%) | 119 |
1.35e-08 (5.37e-06) |
0.0396 (1.00) |
0.905 (1.00) |
0.208 (1.00) |
2.82e-05 (0.0109) |
0.000678 (0.254) |
0.696 (1.00) |
0.00546 (1.00) |
0.686 (1.00) |
0.133 (1.00) |
20p | 140 (48%) | 152 |
1.74e-05 (0.00677) |
0.014 (1.00) |
0.778 (1.00) |
0.826 (1.00) |
0.00051 (0.192) |
0.0247 (1.00) |
0.316 (1.00) |
0.0273 (1.00) |
0.157 (1.00) |
0.392 (1.00) |
xq | 103 (35%) | 189 |
0.00259 (0.953) |
1.43e-07 (5.69e-05) |
0.101 (1.00) |
0.165 (1.00) |
7.17e-05 (0.0275) |
0.00258 (0.95) |
0.142 (1.00) |
0.392 (1.00) |
0.326 (1.00) |
0.561 (1.00) |
1q | 150 (51%) | 142 |
1.89e-06 (0.000746) |
0.061 (1.00) |
0.16 (1.00) |
0.631 (1.00) |
0.00537 (1.00) |
0.153 (1.00) |
0.474 (1.00) |
0.247 (1.00) |
0.181 (1.00) |
0.123 (1.00) |
6q | 183 (63%) | 109 |
0.000322 (0.123) |
0.204 (1.00) |
0.93 (1.00) |
0.213 (1.00) |
0.0201 (1.00) |
0.112 (1.00) |
0.637 (1.00) |
0.155 (1.00) |
0.88 (1.00) |
0.0849 (1.00) |
7p | 171 (59%) | 121 |
2.96e-06 (0.00116) |
0.666 (1.00) |
0.0882 (1.00) |
0.718 (1.00) |
0.019 (1.00) |
0.188 (1.00) |
0.354 (1.00) |
0.26 (1.00) |
0.525 (1.00) |
0.535 (1.00) |
7q | 169 (58%) | 123 |
1.02e-06 (0.000404) |
0.887 (1.00) |
0.326 (1.00) |
0.874 (1.00) |
0.0307 (1.00) |
0.28 (1.00) |
0.807 (1.00) |
0.202 (1.00) |
0.79 (1.00) |
0.51 (1.00) |
9p | 208 (71%) | 84 |
8.3e-07 (0.000329) |
0.0064 (1.00) |
0.269 (1.00) |
0.473 (1.00) |
0.00271 (0.996) |
0.0178 (1.00) |
0.587 (1.00) |
0.122 (1.00) |
0.882 (1.00) |
0.509 (1.00) |
11q | 141 (48%) | 151 |
0.000113 (0.0434) |
0.209 (1.00) |
0.804 (1.00) |
0.526 (1.00) |
0.0325 (1.00) |
0.197 (1.00) |
0.504 (1.00) |
0.21 (1.00) |
0.773 (1.00) |
0.892 (1.00) |
12p | 93 (32%) | 199 |
0.000449 (0.17) |
0.04 (1.00) |
0.898 (1.00) |
0.768 (1.00) |
0.0104 (1.00) |
0.0256 (1.00) |
0.978 (1.00) |
0.568 (1.00) |
0.393 (1.00) |
0.746 (1.00) |
13q | 136 (47%) | 156 |
0.000234 (0.0893) |
0.12 (1.00) |
0.0903 (1.00) |
0.965 (1.00) |
0.0389 (1.00) |
0.372 (1.00) |
0.496 (1.00) |
0.236 (1.00) |
0.771 (1.00) |
0.119 (1.00) |
14q | 123 (42%) | 169 |
3.26e-05 (0.0126) |
0.302 (1.00) |
0.864 (1.00) |
0.682 (1.00) |
0.00804 (1.00) |
0.107 (1.00) |
0.441 (1.00) |
0.367 (1.00) |
0.559 (1.00) |
0.8 (1.00) |
19p | 103 (35%) | 189 |
0.000357 (0.135) |
0.0154 (1.00) |
0.633 (1.00) |
0.233 (1.00) |
0.0156 (1.00) |
0.224 (1.00) |
0.382 (1.00) |
0.989 (1.00) |
0.241 (1.00) |
0.774 (1.00) |
19q | 102 (35%) | 190 |
0.00053 (0.199) |
0.00572 (1.00) |
0.513 (1.00) |
0.102 (1.00) |
0.00751 (1.00) |
0.0164 (1.00) |
0.297 (1.00) |
0.965 (1.00) |
0.358 (1.00) |
0.774 (1.00) |
20q | 152 (52%) | 140 |
1.52e-05 (0.00594) |
0.0274 (1.00) |
0.831 (1.00) |
0.764 (1.00) |
0.0111 (1.00) |
0.225 (1.00) |
0.762 (1.00) |
0.0267 (1.00) |
0.243 (1.00) |
0.56 (1.00) |
1p | 102 (35%) | 190 |
0.0411 (1.00) |
0.153 (1.00) |
0.756 (1.00) |
0.823 (1.00) |
0.00332 (1.00) |
0.0275 (1.00) |
0.273 (1.00) |
0.16 (1.00) |
0.207 (1.00) |
0.831 (1.00) |
2p | 94 (32%) | 198 |
0.0301 (1.00) |
0.185 (1.00) |
0.21 (1.00) |
0.18 (1.00) |
0.331 (1.00) |
0.189 (1.00) |
0.861 (1.00) |
0.401 (1.00) |
0.566 (1.00) |
0.375 (1.00) |
2q | 92 (32%) | 200 |
0.0555 (1.00) |
0.16 (1.00) |
0.271 (1.00) |
0.497 (1.00) |
0.17 (1.00) |
0.0785 (1.00) |
0.736 (1.00) |
0.348 (1.00) |
0.392 (1.00) |
0.213 (1.00) |
3p | 93 (32%) | 199 |
0.713 (1.00) |
0.672 (1.00) |
0.67 (1.00) |
0.195 (1.00) |
0.0664 (1.00) |
0.0737 (1.00) |
0.271 (1.00) |
0.0243 (1.00) |
0.0283 (1.00) |
0.472 (1.00) |
3q | 92 (32%) | 200 |
0.391 (1.00) |
0.825 (1.00) |
0.379 (1.00) |
0.124 (1.00) |
0.0359 (1.00) |
0.114 (1.00) |
0.448 (1.00) |
0.00797 (1.00) |
0.0932 (1.00) |
0.752 (1.00) |
4p | 106 (36%) | 186 |
0.0649 (1.00) |
0.265 (1.00) |
0.691 (1.00) |
0.27 (1.00) |
0.255 (1.00) |
0.0689 (1.00) |
0.828 (1.00) |
0.757 (1.00) |
0.893 (1.00) |
0.9 (1.00) |
4q | 101 (35%) | 191 |
0.162 (1.00) |
0.63 (1.00) |
0.306 (1.00) |
0.258 (1.00) |
0.0705 (1.00) |
0.0678 (1.00) |
0.192 (1.00) |
0.382 (1.00) |
0.349 (1.00) |
0.482 (1.00) |
5p | 123 (42%) | 169 |
0.011 (1.00) |
0.227 (1.00) |
0.96 (1.00) |
0.56 (1.00) |
0.846 (1.00) |
0.913 (1.00) |
0.132 (1.00) |
0.267 (1.00) |
0.229 (1.00) |
0.364 (1.00) |
5q | 118 (40%) | 174 |
0.102 (1.00) |
0.194 (1.00) |
0.196 (1.00) |
0.166 (1.00) |
0.856 (1.00) |
0.757 (1.00) |
0.15 (1.00) |
0.318 (1.00) |
0.0558 (1.00) |
0.376 (1.00) |
8p | 146 (50%) | 146 |
0.00113 (0.422) |
0.195 (1.00) |
0.397 (1.00) |
0.828 (1.00) |
0.00475 (1.00) |
0.142 (1.00) |
0.549 (1.00) |
0.221 (1.00) |
0.483 (1.00) |
0.649 (1.00) |
9q | 170 (58%) | 122 |
0.113 (1.00) |
0.0692 (1.00) |
0.222 (1.00) |
0.0156 (1.00) |
0.0329 (1.00) |
0.284 (1.00) |
0.466 (1.00) |
0.447 (1.00) |
0.803 (1.00) |
0.346 (1.00) |
11p | 131 (45%) | 161 |
0.0028 (1.00) |
0.124 (1.00) |
0.835 (1.00) |
0.728 (1.00) |
0.00171 (0.635) |
0.0267 (1.00) |
0.809 (1.00) |
0.212 (1.00) |
0.719 (1.00) |
0.991 (1.00) |
12q | 81 (28%) | 211 |
0.0153 (1.00) |
0.15 (1.00) |
0.974 (1.00) |
0.689 (1.00) |
0.0979 (1.00) |
0.149 (1.00) |
0.981 (1.00) |
0.863 (1.00) |
0.811 (1.00) |
0.976 (1.00) |
15q | 107 (37%) | 185 |
0.0181 (1.00) |
0.329 (1.00) |
0.234 (1.00) |
0.738 (1.00) |
0.0213 (1.00) |
0.0324 (1.00) |
0.231 (1.00) |
0.00229 (0.846) |
0.253 (1.00) |
0.162 (1.00) |
16p | 98 (34%) | 194 |
0.00513 (1.00) |
0.00184 (0.682) |
0.103 (1.00) |
0.552 (1.00) |
0.0525 (1.00) |
0.206 (1.00) |
0.979 (1.00) |
0.299 (1.00) |
0.931 (1.00) |
0.983 (1.00) |
16q | 120 (41%) | 172 |
0.0143 (1.00) |
0.0436 (1.00) |
0.0809 (1.00) |
0.72 (1.00) |
0.287 (1.00) |
0.486 (1.00) |
0.837 (1.00) |
0.405 (1.00) |
0.794 (1.00) |
0.822 (1.00) |
17p | 131 (45%) | 161 |
0.417 (1.00) |
0.723 (1.00) |
0.673 (1.00) |
0.741 (1.00) |
0.478 (1.00) |
0.897 (1.00) |
0.809 (1.00) |
0.973 (1.00) |
0.852 (1.00) |
0.924 (1.00) |
17q | 105 (36%) | 187 |
0.298 (1.00) |
0.399 (1.00) |
0.217 (1.00) |
0.17 (1.00) |
0.525 (1.00) |
0.66 (1.00) |
0.808 (1.00) |
0.842 (1.00) |
0.285 (1.00) |
0.182 (1.00) |
18p | 131 (45%) | 161 |
0.0371 (1.00) |
0.437 (1.00) |
0.926 (1.00) |
0.634 (1.00) |
0.125 (1.00) |
0.281 (1.00) |
0.77 (1.00) |
0.595 (1.00) |
0.212 (1.00) |
0.935 (1.00) |
18q | 117 (40%) | 175 |
0.105 (1.00) |
0.624 (1.00) |
0.988 (1.00) |
0.588 (1.00) |
0.474 (1.00) |
0.521 (1.00) |
0.824 (1.00) |
0.441 (1.00) |
0.65 (1.00) |
0.896 (1.00) |
21q | 108 (37%) | 184 |
0.231 (1.00) |
0.107 (1.00) |
0.323 (1.00) |
0.963 (1.00) |
0.144 (1.00) |
0.205 (1.00) |
0.459 (1.00) |
0.574 (1.00) |
0.208 (1.00) |
0.555 (1.00) |
22q | 136 (47%) | 156 |
0.00161 (0.6) |
0.103 (1.00) |
0.929 (1.00) |
0.971 (1.00) |
0.316 (1.00) |
0.387 (1.00) |
0.716 (1.00) |
0.397 (1.00) |
0.676 (1.00) |
0.855 (1.00) |
P value = 1.89e-06 (Fisher's exact test), Q value = 0.00075
Table S1. Gene #2: '1q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
1Q MUTATED | 76 | 39 | 35 |
1Q WILD-TYPE | 34 | 41 | 67 |
Figure S1. Get High-res Image Gene #2: '1q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 6.65e-07 (Fisher's exact test), Q value = 0.00026
Table S2. Gene #11: '6p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
6P MUTATED | 86 | 42 | 45 |
6P WILD-TYPE | 24 | 38 | 57 |
Figure S2. Get High-res Image Gene #11: '6p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 5.69e-05 (Fisher's exact test), Q value = 0.022
Table S3. Gene #11: '6p' versus Molecular Subtype #2: 'METHLYATION_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 72 | 108 | 112 |
6P MUTATED | 56 | 66 | 51 |
6P WILD-TYPE | 16 | 42 | 61 |
Figure S3. Get High-res Image Gene #11: '6p' versus Molecular Subtype #2: 'METHLYATION_CNMF'

P value = 0.000322 (Fisher's exact test), Q value = 0.12
Table S4. Gene #12: '6q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
6Q MUTATED | 79 | 56 | 48 |
6Q WILD-TYPE | 31 | 24 | 54 |
Figure S4. Get High-res Image Gene #12: '6q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 2.96e-06 (Fisher's exact test), Q value = 0.0012
Table S5. Gene #13: '7p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
7P MUTATED | 65 | 63 | 43 |
7P WILD-TYPE | 45 | 17 | 59 |
Figure S5. Get High-res Image Gene #13: '7p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 1.02e-06 (Fisher's exact test), Q value = 4e-04
Table S6. Gene #14: '7q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
7Q MUTATED | 62 | 64 | 43 |
7Q WILD-TYPE | 48 | 16 | 59 |
Figure S6. Get High-res Image Gene #14: '7q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 4.15e-06 (Fisher's exact test), Q value = 0.0016
Table S7. Gene #16: '8q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
8Q MUTATED | 69 | 52 | 34 |
8Q WILD-TYPE | 41 | 28 | 68 |
Figure S7. Get High-res Image Gene #16: '8q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000357 (Fisher's exact test), Q value = 0.14
Table S8. Gene #16: '8q' versus Molecular Subtype #5: 'MRNASEQ_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 94 | 79 | 110 |
8Q MUTATED | 64 | 30 | 57 |
8Q WILD-TYPE | 30 | 49 | 53 |
Figure S8. Get High-res Image Gene #16: '8q' versus Molecular Subtype #5: 'MRNASEQ_CNMF'

P value = 8.3e-07 (Fisher's exact test), Q value = 0.00033
Table S9. Gene #17: '9p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
9P MUTATED | 82 | 71 | 55 |
9P WILD-TYPE | 28 | 9 | 47 |
Figure S9. Get High-res Image Gene #17: '9p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 1.35e-08 (Fisher's exact test), Q value = 5.4e-06
Table S10. Gene #19: '10p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
10P MUTATED | 67 | 66 | 40 |
10P WILD-TYPE | 43 | 14 | 62 |
Figure S10. Get High-res Image Gene #19: '10p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 2.82e-05 (Fisher's exact test), Q value = 0.011
Table S11. Gene #19: '10p' versus Molecular Subtype #5: 'MRNASEQ_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 94 | 79 | 110 |
10P MUTATED | 73 | 37 | 58 |
10P WILD-TYPE | 21 | 42 | 52 |
Figure S11. Get High-res Image Gene #19: '10p' versus Molecular Subtype #5: 'MRNASEQ_CNMF'

P value = 1.9e-09 (Fisher's exact test), Q value = 7.6e-07
Table S12. Gene #20: '10q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
10Q MUTATED | 68 | 70 | 44 |
10Q WILD-TYPE | 42 | 10 | 58 |
Figure S12. Get High-res Image Gene #20: '10q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 4.4e-06 (Fisher's exact test), Q value = 0.0017
Table S13. Gene #20: '10q' versus Molecular Subtype #5: 'MRNASEQ_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 94 | 79 | 110 |
10Q MUTATED | 77 | 41 | 58 |
10Q WILD-TYPE | 17 | 38 | 52 |
Figure S13. Get High-res Image Gene #20: '10q' versus Molecular Subtype #5: 'MRNASEQ_CNMF'

P value = 2.13e-05 (Fisher's exact test), Q value = 0.0083
Table S14. Gene #20: '10q' versus Molecular Subtype #6: 'MRNASEQ_CHIERARCHICAL'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 74 | 122 | 87 |
10Q MUTATED | 62 | 65 | 49 |
10Q WILD-TYPE | 12 | 57 | 38 |
Figure S14. Get High-res Image Gene #20: '10q' versus Molecular Subtype #6: 'MRNASEQ_CHIERARCHICAL'

P value = 0.000113 (Fisher's exact test), Q value = 0.043
Table S15. Gene #22: '11q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
11Q MUTATED | 63 | 46 | 32 |
11Q WILD-TYPE | 47 | 34 | 70 |
Figure S15. Get High-res Image Gene #22: '11q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000449 (Fisher's exact test), Q value = 0.17
Table S16. Gene #23: '12p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
12P MUTATED | 42 | 33 | 18 |
12P WILD-TYPE | 68 | 47 | 84 |
Figure S16. Get High-res Image Gene #23: '12p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000234 (Fisher's exact test), Q value = 0.089
Table S17. Gene #25: '13q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
13Q MUTATED | 61 | 44 | 31 |
13Q WILD-TYPE | 49 | 36 | 71 |
Figure S17. Get High-res Image Gene #25: '13q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 3.26e-05 (Fisher's exact test), Q value = 0.013
Table S18. Gene #26: '14q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
14Q MUTATED | 43 | 50 | 30 |
14Q WILD-TYPE | 67 | 30 | 72 |
Figure S18. Get High-res Image Gene #26: '14q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.000357 (Fisher's exact test), Q value = 0.14
Table S19. Gene #34: '19p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
19P MUTATED | 45 | 37 | 21 |
19P WILD-TYPE | 65 | 43 | 81 |
Figure S19. Get High-res Image Gene #34: '19p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.00053 (Fisher's exact test), Q value = 0.2
Table S20. Gene #35: '19q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
19Q MUTATED | 45 | 36 | 21 |
19Q WILD-TYPE | 65 | 44 | 81 |
Figure S20. Get High-res Image Gene #35: '19q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 1.74e-05 (Fisher's exact test), Q value = 0.0068
Table S21. Gene #36: '20p' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
20P MUTATED | 58 | 51 | 31 |
20P WILD-TYPE | 52 | 29 | 71 |
Figure S21. Get High-res Image Gene #36: '20p' versus Molecular Subtype #1: 'CN_CNMF'

P value = 0.00051 (Fisher's exact test), Q value = 0.19
Table S22. Gene #36: '20p' versus Molecular Subtype #5: 'MRNASEQ_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 94 | 79 | 110 |
20P MUTATED | 60 | 29 | 46 |
20P WILD-TYPE | 34 | 50 | 64 |
Figure S22. Get High-res Image Gene #36: '20p' versus Molecular Subtype #5: 'MRNASEQ_CNMF'

P value = 1.52e-05 (Fisher's exact test), Q value = 0.0059
Table S23. Gene #37: '20q' versus Molecular Subtype #1: 'CN_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 110 | 80 | 102 |
20Q MUTATED | 68 | 50 | 34 |
20Q WILD-TYPE | 42 | 30 | 68 |
Figure S23. Get High-res Image Gene #37: '20q' versus Molecular Subtype #1: 'CN_CNMF'

P value = 1.43e-07 (Fisher's exact test), Q value = 5.7e-05
Table S24. Gene #40: 'xq' versus Molecular Subtype #2: 'METHLYATION_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 72 | 108 | 112 |
XQ MUTATED | 32 | 53 | 18 |
XQ WILD-TYPE | 40 | 55 | 94 |
Figure S24. Get High-res Image Gene #40: 'xq' versus Molecular Subtype #2: 'METHLYATION_CNMF'

P value = 7.17e-05 (Fisher's exact test), Q value = 0.028
Table S25. Gene #40: 'xq' versus Molecular Subtype #5: 'MRNASEQ_CNMF'
nPatients | CLUS_1 | CLUS_2 | CLUS_3 |
---|---|---|---|
ALL | 94 | 79 | 110 |
XQ MUTATED | 42 | 13 | 46 |
XQ WILD-TYPE | 52 | 66 | 64 |
Figure S25. Get High-res Image Gene #40: 'xq' versus Molecular Subtype #5: 'MRNASEQ_CNMF'

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Copy number data file = transformed.cor.cli.txt
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Molecular subtype file = SKCM-TM.transferedmergedcluster.txt
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Number of patients = 292
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Number of significantly focal cnvs = 40
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Number of molecular subtypes = 10
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Exclude genes that fewer than K tumors have alterations, K = 3
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.