Correlation between copy number variations of arm-level result and molecular subtypes
Colorectal Adenocarcinoma (Primary solid tumor)
15 July 2014  |  analyses__2014_07_15
Maintainer Information
Citation Information
Maintained by TCGA GDAC Team (Broad Institute/MD Anderson Cancer Center/Harvard Medical School)
Cite as Broad Institute TCGA Genome Data Analysis Center (2014): Correlation between copy number variations of arm-level result and molecular subtypes. Broad Institute of MIT and Harvard. doi:10.7908/C1FX7862
Overview
Introduction

This pipeline computes the correlation between significant arm-level copy number variations (cnvs) and molecular subtypes.

Summary

Testing the association between copy number variation 79 arm-level events and 12 molecular subtypes across 600 patients, 147 significant findings detected with P value < 0.05 and Q value < 0.25.

  • 2p gain cnv correlated to 'CN_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 2q gain cnv correlated to 'CN_CNMF' and 'MRNASEQ_CHIERARCHICAL'.

  • 3p gain cnv correlated to 'CN_CNMF'.

  • 3q gain cnv correlated to 'CN_CNMF'.

  • 6p gain cnv correlated to 'CN_CNMF'.

  • 6q gain cnv correlated to 'CN_CNMF'.

  • 7p gain cnv correlated to 'MRNA_CHIERARCHICAL',  'CN_CNMF',  'METHLYATION_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL',  'MIRSEQ_MATURE_CNMF', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 7q gain cnv correlated to 'MRNA_CNMF',  'MRNA_CHIERARCHICAL',  'CN_CNMF',  'METHLYATION_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL',  'MIRSEQ_MATURE_CNMF', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 8p gain cnv correlated to 'CN_CNMF'.

  • 8q gain cnv correlated to 'CN_CNMF' and 'MRNASEQ_CNMF'.

  • 11p gain cnv correlated to 'CN_CNMF' and 'METHLYATION_CNMF'.

  • 11q gain cnv correlated to 'CN_CNMF',  'METHLYATION_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL', and 'MIRSEQ_MATURE_CNMF'.

  • 13q gain cnv correlated to 'MRNA_CNMF',  'MRNA_CHIERARCHICAL',  'CN_CNMF',  'METHLYATION_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL',  'MIRSEQ_MATURE_CNMF', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 16p gain cnv correlated to 'CN_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 16q gain cnv correlated to 'CN_CNMF',  'MRNASEQ_CHIERARCHICAL', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 17q gain cnv correlated to 'CN_CNMF',  'MRNASEQ_CNMF', and 'MRNASEQ_CHIERARCHICAL'.

  • 18q gain cnv correlated to 'MRNASEQ_CHIERARCHICAL'.

  • 19p gain cnv correlated to 'CN_CNMF'.

  • 19q gain cnv correlated to 'CN_CNMF'.

  • 20p gain cnv correlated to 'MRNA_CNMF',  'MRNA_CHIERARCHICAL',  'CN_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 20q gain cnv correlated to 'MRNA_CNMF',  'MRNA_CHIERARCHICAL',  'CN_CNMF',  'METHLYATION_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL',  'MIRSEQ_MATURE_CNMF', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • xq gain cnv correlated to 'CN_CNMF'.

  • 1p loss cnv correlated to 'CN_CNMF' and 'MRNASEQ_CHIERARCHICAL'.

  • 1q loss cnv correlated to 'CN_CNMF' and 'MRNASEQ_CNMF'.

  • 4p loss cnv correlated to 'CN_CNMF',  'MRNASEQ_CHIERARCHICAL', and 'MIRSEQ_MATURE_CNMF'.

  • 4q loss cnv correlated to 'CN_CNMF',  'METHLYATION_CNMF',  'MRNASEQ_CHIERARCHICAL', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 5p loss cnv correlated to 'CN_CNMF'.

  • 5q loss cnv correlated to 'CN_CNMF' and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 8p loss cnv correlated to 'CN_CNMF',  'METHLYATION_CNMF',  'MRNASEQ_CHIERARCHICAL', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 9p loss cnv correlated to 'CN_CNMF' and 'MRNASEQ_CNMF'.

  • 9q loss cnv correlated to 'CN_CNMF',  'MRNASEQ_CNMF', and 'MIRSEQ_MATURE_CNMF'.

  • 10p loss cnv correlated to 'CN_CNMF'.

  • 10q loss cnv correlated to 'CN_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 12p loss cnv correlated to 'CN_CNMF'.

  • 12q loss cnv correlated to 'CN_CNMF'.

  • 14q loss cnv correlated to 'MRNA_CNMF',  'MRNA_CHIERARCHICAL',  'CN_CNMF',  'METHLYATION_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL',  'MIRSEQ_MATURE_CNMF', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 15q loss cnv correlated to 'MRNA_CNMF',  'CN_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL',  'MIRSEQ_MATURE_CNMF', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 17p loss cnv correlated to 'MRNA_CNMF',  'MRNA_CHIERARCHICAL',  'CN_CNMF',  'METHLYATION_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL',  'MIRSEQ_MATURE_CNMF', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 18p loss cnv correlated to 'MRNA_CNMF',  'MRNA_CHIERARCHICAL',  'CN_CNMF',  'METHLYATION_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL',  'MIRSEQ_MATURE_CNMF', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 18q loss cnv correlated to 'MRNA_CNMF',  'MRNA_CHIERARCHICAL',  'CN_CNMF',  'METHLYATION_CNMF',  'MRNASEQ_CNMF',  'MRNASEQ_CHIERARCHICAL',  'MIRSEQ_MATURE_CNMF', and 'MIRSEQ_MATURE_CHIERARCHICAL'.

  • 19p loss cnv correlated to 'CN_CNMF'.

  • 19q loss cnv correlated to 'CN_CNMF'.

  • 20p loss cnv correlated to 'CN_CNMF'.

  • 21q loss cnv correlated to 'CN_CNMF' and 'MRNASEQ_CNMF'.

  • 22q loss cnv correlated to 'MRNA_CHIERARCHICAL',  'CN_CNMF', and 'MRNASEQ_CHIERARCHICAL'.

Results
Overview of the results

Table 1.  Get Full Table Overview of the association between significant copy number variation of 79 arm-level events and 12 molecular subtypes. Shown in the table are P values (Q values). Thresholded by P value < 0.05 and Q value < 0.25, 147 significant findings detected.

Clinical
Features
MRNA
CNMF
MRNA
CHIERARCHICAL
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 Fisher's exact test Fisher's exact test
7q gain 302 (50%) 298 0.0002
(0.161)
1e-05
(0.0094)
1e-05
(0.0094)
6e-05
(0.0497)
0.136
(1.00)
0.0258
(1.00)
2e-05
(0.017)
1e-05
(0.0094)
0.0129
(1.00)
0.238
(1.00)
4e-05
(0.0334)
1e-05
(0.0094)
13q gain 359 (60%) 241 1e-05
(0.0094)
1e-05
(0.0094)
1e-05
(0.0094)
1e-05
(0.0094)
0.243
(1.00)
0.346
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
0.00064
(0.499)
0.501
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
20q gain 454 (76%) 146 1e-05
(0.0094)
1e-05
(0.0094)
1e-05
(0.0094)
1e-05
(0.0094)
0.00506
(1.00)
0.00491
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
0.0201
(1.00)
0.00054
(0.423)
1e-05
(0.0094)
1e-05
(0.0094)
14q loss 199 (33%) 401 0.00021
(0.169)
8e-05
(0.0658)
1e-05
(0.0094)
1e-05
(0.0094)
0.00277
(1.00)
0.181
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
0.133
(1.00)
0.119
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
17p loss 330 (55%) 270 3e-05
(0.0252)
6e-05
(0.0497)
1e-05
(0.0094)
1e-05
(0.0094)
0.122
(1.00)
0.00842
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
0.0363
(1.00)
0.0245
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
18p loss 367 (61%) 233 1e-05
(0.0094)
1e-05
(0.0094)
1e-05
(0.0094)
1e-05
(0.0094)
0.0322
(1.00)
0.0482
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
0.0074
(1.00)
0.0096
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
18q loss 396 (66%) 204 1e-05
(0.0094)
1e-05
(0.0094)
1e-05
(0.0094)
1e-05
(0.0094)
0.0515
(1.00)
0.101
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
0.00109
(0.835)
0.00461
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
7p gain 339 (56%) 261 0.00047
(0.37)
1e-05
(0.0094)
1e-05
(0.0094)
1e-05
(0.0094)
0.00881
(1.00)
0.00843
(1.00)
2e-05
(0.017)
1e-05
(0.0094)
0.00625
(1.00)
0.177
(1.00)
3e-05
(0.0252)
1e-05
(0.0094)
20p gain 343 (57%) 257 0.00025
(0.199)
2e-05
(0.017)
1e-05
(0.0094)
0.00129
(0.979)
0.0188
(1.00)
0.104
(1.00)
9e-05
(0.0738)
1e-05
(0.0094)
0.349
(1.00)
0.064
(1.00)
0.00069
(0.537)
4e-05
(0.0334)
15q loss 222 (37%) 378 0.0001
(0.0816)
0.00174
(1.00)
1e-05
(0.0094)
0.00032
(0.254)
0.238
(1.00)
0.779
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
0.821
(1.00)
0.685
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
11q gain 74 (12%) 526 0.0162
(1.00)
0.00103
(0.792)
1e-05
(0.0094)
2e-05
(0.017)
0.194
(1.00)
0.374
(1.00)
1e-05
(0.0094)
3e-05
(0.0252)
0.301
(1.00)
0.0608
(1.00)
0.00019
(0.154)
0.00063
(0.492)
2p gain 117 (20%) 483 0.0409
(1.00)
0.0156
(1.00)
3e-05
(0.0252)
0.00353
(1.00)
0.623
(1.00)
0.564
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
0.0432
(1.00)
0.00221
(1.00)
0.242
(1.00)
0.00022
(0.177)
16p gain 141 (24%) 459 0.0061
(1.00)
0.00405
(1.00)
1e-05
(0.0094)
0.0154
(1.00)
0.142
(1.00)
0.667
(1.00)
0.00025
(0.199)
0.00024
(0.192)
0.491
(1.00)
0.439
(1.00)
0.0172
(1.00)
7e-05
(0.0578)
4q loss 184 (31%) 416 0.0423
(1.00)
0.0751
(1.00)
1e-05
(0.0094)
5e-05
(0.0415)
0.759
(1.00)
0.589
(1.00)
0.00078
(0.604)
0.00015
(0.122)
0.106
(1.00)
0.135
(1.00)
0.00101
(0.778)
0.00023
(0.184)
8p loss 212 (35%) 388 0.00912
(1.00)
0.00614
(1.00)
1e-05
(0.0094)
8e-05
(0.0658)
0.328
(1.00)
0.0398
(1.00)
0.00067
(0.522)
4e-05
(0.0334)
0.512
(1.00)
0.207
(1.00)
0.00069
(0.537)
2e-05
(0.017)
10q loss 106 (18%) 494 0.0225
(1.00)
0.254
(1.00)
1e-05
(0.0094)
0.0077
(1.00)
0.0132
(1.00)
0.4
(1.00)
3e-05
(0.0252)
2e-05
(0.017)
0.704
(1.00)
0.383
(1.00)
0.00036
(0.285)
0.00014
(0.114)
16q gain 139 (23%) 461 0.00835
(1.00)
0.00365
(1.00)
1e-05
(0.0094)
0.0291
(1.00)
0.232
(1.00)
0.472
(1.00)
0.00046
(0.363)
0.00019
(0.154)
0.786
(1.00)
0.477
(1.00)
0.00284
(1.00)
5e-05
(0.0415)
17q gain 107 (18%) 493 0.0126
(1.00)
0.0051
(1.00)
1e-05
(0.0094)
0.00256
(1.00)
0.274
(1.00)
0.674
(1.00)
0.00016
(0.13)
2e-05
(0.017)
0.00212
(1.00)
0.0197
(1.00)
0.606
(1.00)
0.0388
(1.00)
4p loss 190 (32%) 410 0.0291
(1.00)
0.0154
(1.00)
1e-05
(0.0094)
0.00132
(1.00)
0.477
(1.00)
0.299
(1.00)
0.00046
(0.363)
0.00013
(0.106)
0.0813
(1.00)
0.465
(1.00)
7e-05
(0.0578)
0.00221
(1.00)
9q loss 72 (12%) 528 0.0485
(1.00)
0.0139
(1.00)
1e-05
(0.0094)
0.00274
(1.00)
0.93
(1.00)
0.251
(1.00)
9e-05
(0.0738)
0.00062
(0.485)
0.467
(1.00)
0.0162
(1.00)
0.00022
(0.177)
0.0268
(1.00)
22q loss 197 (33%) 403 0.00471
(1.00)
0.00031
(0.246)
1e-05
(0.0094)
0.0641
(1.00)
0.777
(1.00)
0.799
(1.00)
0.005
(1.00)
0.00024
(0.192)
0.977
(1.00)
0.07
(1.00)
0.00085
(0.656)
0.00434
(1.00)
2q gain 115 (19%) 485 0.026
(1.00)
0.00449
(1.00)
1e-05
(0.0094)
0.00135
(1.00)
0.648
(1.00)
0.854
(1.00)
0.00109
(0.835)
1e-05
(0.0094)
0.11
(1.00)
0.0131
(1.00)
0.414
(1.00)
0.00423
(1.00)
8q gain 306 (51%) 294 0.351
(1.00)
0.166
(1.00)
1e-05
(0.0094)
0.0172
(1.00)
0.0967
(1.00)
0.0745
(1.00)
0.00016
(0.13)
0.00605
(1.00)
0.372
(1.00)
0.0161
(1.00)
0.0519
(1.00)
0.0202
(1.00)
11p gain 82 (14%) 518 0.0126
(1.00)
0.00543
(1.00)
1e-05
(0.0094)
1e-05
(0.0094)
0.657
(1.00)
0.634
(1.00)
0.0017
(1.00)
0.00567
(1.00)
0.33
(1.00)
0.405
(1.00)
0.0179
(1.00)
0.0827
(1.00)
1p loss 135 (22%) 465 0.0657
(1.00)
0.0299
(1.00)
1e-05
(0.0094)
0.00238
(1.00)
0.99
(1.00)
0.868
(1.00)
0.00105
(0.806)
0.00027
(0.215)
0.298
(1.00)
0.0455
(1.00)
0.0447
(1.00)
0.00341
(1.00)
1q loss 76 (13%) 524 0.233
(1.00)
0.211
(1.00)
1e-05
(0.0094)
0.3
(1.00)
0.868
(1.00)
0.813
(1.00)
0.00021
(0.169)
0.0012
(0.913)
0.769
(1.00)
0.00986
(1.00)
0.126
(1.00)
0.0073
(1.00)
5q loss 115 (19%) 485 0.00866
(1.00)
0.0289
(1.00)
1e-05
(0.0094)
0.0325
(1.00)
0.111
(1.00)
0.101
(1.00)
0.0099
(1.00)
0.0391
(1.00)
0.624
(1.00)
0.636
(1.00)
0.00055
(0.431)
7e-05
(0.0578)
9p loss 73 (12%) 527 0.491
(1.00)
0.202
(1.00)
1e-05
(0.0094)
0.0115
(1.00)
0.844
(1.00)
0.472
(1.00)
9e-05
(0.0738)
0.00987
(1.00)
0.206
(1.00)
0.111
(1.00)
0.00137
(1.00)
0.0277
(1.00)
21q loss 187 (31%) 413 0.0258
(1.00)
0.0414
(1.00)
1e-05
(0.0094)
0.0285
(1.00)
0.702
(1.00)
0.536
(1.00)
7e-05
(0.0578)
0.045
(1.00)
0.123
(1.00)
0.13
(1.00)
0.00269
(1.00)
0.0178
(1.00)
3p gain 69 (12%) 531 0.013
(1.00)
0.0768
(1.00)
1e-05
(0.0094)
0.132
(1.00)
0.127
(1.00)
0.0425
(1.00)
0.361
(1.00)
0.2
(1.00)
0.151
(1.00)
0.507
(1.00)
0.0652
(1.00)
0.0735
(1.00)
3q gain 95 (16%) 505 0.0319
(1.00)
0.00194
(1.00)
1e-05
(0.0094)
0.0117
(1.00)
0.124
(1.00)
0.0196
(1.00)
0.0177
(1.00)
0.00643
(1.00)
0.0443
(1.00)
0.548
(1.00)
0.00479
(1.00)
0.0238
(1.00)
6p gain 121 (20%) 479 0.0146
(1.00)
0.00048
(0.378)
1e-05
(0.0094)
0.297
(1.00)
0.853
(1.00)
0.966
(1.00)
0.179
(1.00)
0.0342
(1.00)
0.457
(1.00)
0.71
(1.00)
0.0131
(1.00)
0.00218
(1.00)
6q gain 108 (18%) 492 0.159
(1.00)
0.001
(0.771)
1e-05
(0.0094)
0.35
(1.00)
0.828
(1.00)
0.742
(1.00)
0.187
(1.00)
0.0724
(1.00)
0.356
(1.00)
0.892
(1.00)
0.00273
(1.00)
0.0169
(1.00)
8p gain 164 (27%) 436 0.924
(1.00)
0.531
(1.00)
1e-05
(0.0094)
0.969
(1.00)
0.443
(1.00)
0.288
(1.00)
0.004
(1.00)
0.00469
(1.00)
0.289
(1.00)
0.375
(1.00)
0.8
(1.00)
0.383
(1.00)
18q gain 20 (3%) 580 0.0452
(1.00)
0.437
(1.00)
0.00777
(1.00)
0.00897
(1.00)
0.613
(1.00)
0.0141
(1.00)
0.00631
(1.00)
0.00022
(0.177)
0.129
(1.00)
0.0219
(1.00)
0.0396
(1.00)
0.0152
(1.00)
19p gain 100 (17%) 500 0.412
(1.00)
0.028
(1.00)
1e-05
(0.0094)
0.0631
(1.00)
0.158
(1.00)
0.771
(1.00)
0.223
(1.00)
0.00122
(0.927)
0.0795
(1.00)
0.733
(1.00)
0.0732
(1.00)
0.0129
(1.00)
19q gain 110 (18%) 490 0.0775
(1.00)
0.00891
(1.00)
3e-05
(0.0252)
0.0867
(1.00)
0.0309
(1.00)
0.461
(1.00)
0.611
(1.00)
0.00214
(1.00)
0.299
(1.00)
0.979
(1.00)
0.112
(1.00)
0.0209
(1.00)
xq gain 101 (17%) 499 0.258
(1.00)
0.285
(1.00)
0.00014
(0.114)
0.124
(1.00)
0.108
(1.00)
0.0676
(1.00)
0.62
(1.00)
0.915
(1.00)
0.419
(1.00)
1
(1.00)
0.59
(1.00)
0.28
(1.00)
5p loss 81 (14%) 519 0.377
(1.00)
0.695
(1.00)
3e-05
(0.0252)
0.0308
(1.00)
0.687
(1.00)
0.76
(1.00)
0.78
(1.00)
0.293
(1.00)
1
(1.00)
0.207
(1.00)
0.109
(1.00)
0.00112
(0.856)
10p loss 98 (16%) 502 0.011
(1.00)
0.186
(1.00)
1e-05
(0.0094)
0.0136
(1.00)
0.0175
(1.00)
0.408
(1.00)
0.00081
(0.627)
0.00032
(0.254)
0.209
(1.00)
0.363
(1.00)
0.0215
(1.00)
0.00449
(1.00)
12p loss 70 (12%) 530 0.0668
(1.00)
0.0138
(1.00)
1e-05
(0.0094)
0.0476
(1.00)
0.877
(1.00)
0.582
(1.00)
0.0522
(1.00)
0.0366
(1.00)
0.823
(1.00)
0.82
(1.00)
0.0063
(1.00)
0.00221
(1.00)
12q loss 70 (12%) 530 0.124
(1.00)
0.0267
(1.00)
1e-05
(0.0094)
0.0598
(1.00)
0.643
(1.00)
0.975
(1.00)
0.00943
(1.00)
0.00478
(1.00)
0.262
(1.00)
0.884
(1.00)
0.00873
(1.00)
0.00187
(1.00)
19p loss 64 (11%) 536 0.377
(1.00)
0.476
(1.00)
9e-05
(0.0738)
0.257
(1.00)
0.696
(1.00)
0.247
(1.00)
0.0153
(1.00)
0.0576
(1.00)
0.157
(1.00)
0.00665
(1.00)
0.504
(1.00)
0.0669
(1.00)
19q loss 54 (9%) 546 0.668
(1.00)
0.147
(1.00)
0.00021
(0.169)
0.79
(1.00)
0.0889
(1.00)
0.407
(1.00)
0.108
(1.00)
0.325
(1.00)
0.272
(1.00)
0.0469
(1.00)
0.367
(1.00)
0.174
(1.00)
20p loss 64 (11%) 536 0.113
(1.00)
0.0194
(1.00)
4e-05
(0.0334)
0.00402
(1.00)
0.785
(1.00)
0.947
(1.00)
0.424
(1.00)
0.00857
(1.00)
0.745
(1.00)
0.511
(1.00)
0.11
(1.00)
0.0518
(1.00)
1p gain 48 (8%) 552 0.24
(1.00)
0.373
(1.00)
0.0285
(1.00)
0.685
(1.00)
0.00499
(1.00)
0.00352
(1.00)
0.996
(1.00)
0.565
(1.00)
0.315
(1.00)
0.192
(1.00)
0.0328
(1.00)
0.511
(1.00)
1q gain 116 (19%) 484 0.774
(1.00)
0.555
(1.00)
0.00307
(1.00)
0.486
(1.00)
0.125
(1.00)
0.0176
(1.00)
0.929
(1.00)
0.309
(1.00)
0.173
(1.00)
0.139
(1.00)
0.0155
(1.00)
0.235
(1.00)
4p gain 19 (3%) 581 0.813
(1.00)
0.569
(1.00)
0.0296
(1.00)
0.183
(1.00)
0.156
(1.00)
0.176
(1.00)
0.0933
(1.00)
0.355
(1.00)
0.582
(1.00)
0.505
(1.00)
0.254
(1.00)
0.113
(1.00)
4q gain 20 (3%) 580 0.228
(1.00)
0.214
(1.00)
0.00318
(1.00)
0.604
(1.00)
0.113
(1.00)
0.516
(1.00)
0.281
(1.00)
0.391
(1.00)
0.334
(1.00)
0.364
(1.00)
0.0568
(1.00)
0.961
(1.00)
5p gain 100 (17%) 500 0.499
(1.00)
0.129
(1.00)
0.00081
(0.627)
0.922
(1.00)
0.198
(1.00)
0.14
(1.00)
0.0251
(1.00)
0.0481
(1.00)
0.814
(1.00)
0.408
(1.00)
0.0151
(1.00)
0.0448
(1.00)
5q gain 63 (10%) 537 0.784
(1.00)
0.597
(1.00)
0.00711
(1.00)
0.975
(1.00)
0.724
(1.00)
0.589
(1.00)
0.199
(1.00)
0.305
(1.00)
0.742
(1.00)
0.00304
(1.00)
0.298
(1.00)
0.00729
(1.00)
9p gain 118 (20%) 482 0.538
(1.00)
0.59
(1.00)
0.174
(1.00)
0.568
(1.00)
0.127
(1.00)
0.256
(1.00)
0.81
(1.00)
0.576
(1.00)
0.979
(1.00)
0.921
(1.00)
0.0843
(1.00)
0.276
(1.00)
9q gain 99 (16%) 501 0.657
(1.00)
0.833
(1.00)
0.508
(1.00)
0.883
(1.00)
0.0928
(1.00)
0.274
(1.00)
0.935
(1.00)
0.794
(1.00)
0.577
(1.00)
0.4
(1.00)
0.717
(1.00)
0.755
(1.00)
10p gain 44 (7%) 556 0.109
(1.00)
0.11
(1.00)
0.00661
(1.00)
0.838
(1.00)
0.107
(1.00)
0.0493
(1.00)
0.477
(1.00)
0.857
(1.00)
0.506
(1.00)
0.301
(1.00)
0.0413
(1.00)
0.123
(1.00)
10q gain 24 (4%) 576 0.911
(1.00)
0.258
(1.00)
0.0523
(1.00)
0.144
(1.00)
0.167
(1.00)
0.705
(1.00)
0.973
(1.00)
0.636
(1.00)
0.517
(1.00)
0.661
(1.00)
0.131
(1.00)
0.837
(1.00)
12p gain 126 (21%) 474 0.359
(1.00)
0.361
(1.00)
0.114
(1.00)
0.00422
(1.00)
0.532
(1.00)
0.317
(1.00)
0.78
(1.00)
0.31
(1.00)
0.505
(1.00)
0.807
(1.00)
0.191
(1.00)
0.293
(1.00)
12q gain 110 (18%) 490 0.25
(1.00)
0.349
(1.00)
0.0438
(1.00)
0.00242
(1.00)
0.572
(1.00)
0.494
(1.00)
0.569
(1.00)
0.358
(1.00)
0.34
(1.00)
0.482
(1.00)
0.0749
(1.00)
0.131
(1.00)
14q gain 42 (7%) 558 0.736
(1.00)
0.397
(1.00)
0.0154
(1.00)
0.849
(1.00)
0.79
(1.00)
0.83
(1.00)
0.559
(1.00)
0.326
(1.00)
0.882
(1.00)
0.889
(1.00)
0.617
(1.00)
0.737
(1.00)
15q gain 15 (2%) 585 0.298
(1.00)
0.152
(1.00)
0.16
(1.00)
0.588
(1.00)
0.172
(1.00)
0.209
(1.00)
0.948
(1.00)
0.303
(1.00)
1
(1.00)
0.724
(1.00)
0.714
(1.00)
0.747
(1.00)
17p gain 37 (6%) 563 0.443
(1.00)
0.163
(1.00)
0.268
(1.00)
0.9
(1.00)
0.197
(1.00)
1
(1.00)
0.506
(1.00)
0.0676
(1.00)
0.167
(1.00)
0.72
(1.00)
0.617
(1.00)
0.514
(1.00)
18p gain 33 (6%) 567 0.309
(1.00)
0.371
(1.00)
0.00107
(0.821)
0.00074
(0.574)
0.608
(1.00)
0.0595
(1.00)
0.0339
(1.00)
0.00521
(1.00)
0.398
(1.00)
0.0784
(1.00)
0.112
(1.00)
0.035
(1.00)
21q gain 32 (5%) 568 0.313
(1.00)
0.263
(1.00)
0.00053
(0.416)
0.763
(1.00)
0.484
(1.00)
0.256
(1.00)
0.864
(1.00)
0.481
(1.00)
0.411
(1.00)
0.969
(1.00)
0.26
(1.00)
0.845
(1.00)
22q gain 23 (4%) 577 0.115
(1.00)
0.134
(1.00)
0.0201
(1.00)
0.311
(1.00)
0.86
(1.00)
0.693
(1.00)
0.148
(1.00)
0.658
(1.00)
0.691
(1.00)
0.917
(1.00)
0.13
(1.00)
0.446
(1.00)
2p loss 17 (3%) 583 1
(1.00)
0.616
(1.00)
0.00049
(0.385)
0.0333
(1.00)
0.346
(1.00)
0.811
(1.00)
0.165
(1.00)
0.0573
(1.00)
0.0939
(1.00)
0.228
(1.00)
0.74
(1.00)
0.616
(1.00)
2q loss 13 (2%) 587 0.805
(1.00)
0.215
(1.00)
0.0303
(1.00)
0.187
(1.00)
0.533
(1.00)
0.389
(1.00)
0.355
(1.00)
0.0904
(1.00)
0.162
(1.00)
0.0462
(1.00)
0.197
(1.00)
0.921
(1.00)
3p loss 68 (11%) 532 0.359
(1.00)
0.835
(1.00)
0.335
(1.00)
0.493
(1.00)
0.535
(1.00)
0.629
(1.00)
0.612
(1.00)
0.687
(1.00)
0.775
(1.00)
0.396
(1.00)
0.056
(1.00)
0.175
(1.00)
3q loss 44 (7%) 556 0.247
(1.00)
0.247
(1.00)
0.526
(1.00)
0.569
(1.00)
0.319
(1.00)
0.957
(1.00)
0.616
(1.00)
0.477
(1.00)
0.576
(1.00)
0.339
(1.00)
0.365
(1.00)
0.396
(1.00)
6p loss 45 (8%) 555 0.56
(1.00)
0.0218
(1.00)
0.0263
(1.00)
0.843
(1.00)
0.0682
(1.00)
0.0768
(1.00)
0.909
(1.00)
0.254
(1.00)
0.456
(1.00)
0.936
(1.00)
0.0681
(1.00)
0.444
(1.00)
6q loss 68 (11%) 532 0.445
(1.00)
0.313
(1.00)
0.0232
(1.00)
0.694
(1.00)
0.228
(1.00)
0.157
(1.00)
0.107
(1.00)
0.269
(1.00)
0.514
(1.00)
0.519
(1.00)
0.805
(1.00)
0.714
(1.00)
7q loss 4 (1%) 596 0.33
(1.00)
1
(1.00)
1
(1.00)
0.742
(1.00)
0.532
(1.00)
0.959
(1.00)
1
(1.00)
0.223
(1.00)
8q loss 33 (6%) 567 0.684
(1.00)
0.679
(1.00)
0.00116
(0.885)
0.805
(1.00)
0.966
(1.00)
0.27
(1.00)
0.6
(1.00)
0.565
(1.00)
0.433
(1.00)
0.449
(1.00)
0.522
(1.00)
0.139
(1.00)
11p loss 73 (12%) 527 0.953
(1.00)
1
(1.00)
0.0463
(1.00)
0.176
(1.00)
0.499
(1.00)
0.603
(1.00)
0.52
(1.00)
0.225
(1.00)
0.913
(1.00)
0.237
(1.00)
0.0448
(1.00)
0.229
(1.00)
11q loss 91 (15%) 509 0.846
(1.00)
0.683
(1.00)
0.0407
(1.00)
0.0395
(1.00)
0.956
(1.00)
0.7
(1.00)
0.994
(1.00)
0.764
(1.00)
0.806
(1.00)
0.416
(1.00)
0.149
(1.00)
0.392
(1.00)
13q loss 20 (3%) 580 0.296
(1.00)
0.0161
(1.00)
0.0981
(1.00)
0.326
(1.00)
0.294
(1.00)
0.00674
(1.00)
0.732
(1.00)
0.149
(1.00)
0.734
(1.00)
0.789
(1.00)
0.0192
(1.00)
0.625
(1.00)
16p loss 41 (7%) 559 0.0725
(1.00)
0.371
(1.00)
0.155
(1.00)
0.97
(1.00)
0.342
(1.00)
0.239
(1.00)
0.875
(1.00)
0.713
(1.00)
0.834
(1.00)
0.238
(1.00)
0.84
(1.00)
0.968
(1.00)
16q loss 43 (7%) 557 0.0259
(1.00)
0.585
(1.00)
0.0076
(1.00)
0.911
(1.00)
0.241
(1.00)
0.239
(1.00)
0.987
(1.00)
0.952
(1.00)
0.573
(1.00)
0.552
(1.00)
1
(1.00)
0.948
(1.00)
17q loss 89 (15%) 511 0.993
(1.00)
0.783
(1.00)
0.00119
(0.907)
0.673
(1.00)
0.883
(1.00)
0.0761
(1.00)
0.548
(1.00)
0.0363
(1.00)
0.946
(1.00)
0.417
(1.00)
0.0648
(1.00)
0.104
(1.00)
20q loss 5 (1%) 595 0.886
(1.00)
0.269
(1.00)
0.0949
(1.00)
0.7
(1.00)
0.401
(1.00)
0.651
(1.00)
0.828
(1.00)
0.689
(1.00)
xq loss 78 (13%) 522 0.987
(1.00)
0.689
(1.00)
0.0483
(1.00)
0.407
(1.00)
0.0526
(1.00)
0.436
(1.00)
0.5
(1.00)
0.153
(1.00)
0.0439
(1.00)
0.72
(1.00)
0.464
(1.00)
0.079
(1.00)
'2p gain' versus 'CN_CNMF'

P value = 3e-05 (Fisher's exact test), Q value = 0.025

Table S1.  Gene #3: '2p gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
2P GAIN MUTATED 27 57 19 14
2P GAIN WILD-TYPE 208 160 94 21

Figure S1.  Get High-res Image Gene #3: '2p gain' versus Molecular Subtype #3: 'CN_CNMF'

'2p gain' versus 'MRNASEQ_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S2.  Gene #3: '2p gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
2P GAIN MUTATED 26 11 46 30
2P GAIN WILD-TYPE 101 119 93 158

Figure S2.  Get High-res Image Gene #3: '2p gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'2p gain' versus 'MRNASEQ_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S3.  Gene #3: '2p gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
2P GAIN MUTATED 10 20 3 21 23 4 32
2P GAIN WILD-TYPE 54 87 42 44 43 92 109

Figure S3.  Get High-res Image Gene #3: '2p gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'2p gain' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 0.00022 (Fisher's exact test), Q value = 0.18

Table S4.  Gene #3: '2p gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
2P GAIN MUTATED 12 14 18 16 6
2P GAIN WILD-TYPE 70 38 49 17 54

Figure S4.  Get High-res Image Gene #3: '2p gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'2q gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S5.  Gene #4: '2q gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
2Q GAIN MUTATED 23 57 20 15
2Q GAIN WILD-TYPE 212 160 93 20

Figure S5.  Get High-res Image Gene #4: '2q gain' versus Molecular Subtype #3: 'CN_CNMF'

'2q gain' versus 'MRNASEQ_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S6.  Gene #4: '2q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
2Q GAIN MUTATED 10 19 3 18 23 5 33
2Q GAIN WILD-TYPE 54 88 42 47 43 91 108

Figure S6.  Get High-res Image Gene #4: '2q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'3p gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S7.  Gene #5: '3p gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
3P GAIN MUTATED 12 47 8 2
3P GAIN WILD-TYPE 223 170 105 33

Figure S7.  Get High-res Image Gene #5: '3p gain' versus Molecular Subtype #3: 'CN_CNMF'

'3q gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S8.  Gene #6: '3q gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
3Q GAIN MUTATED 13 63 15 4
3Q GAIN WILD-TYPE 222 154 98 31

Figure S8.  Get High-res Image Gene #6: '3q gain' versus Molecular Subtype #3: 'CN_CNMF'

'6p gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S9.  Gene #11: '6p gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
6P GAIN MUTATED 20 68 25 8
6P GAIN WILD-TYPE 215 149 88 27

Figure S9.  Get High-res Image Gene #11: '6p gain' versus Molecular Subtype #3: 'CN_CNMF'

'6q gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S10.  Gene #12: '6q gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
6Q GAIN MUTATED 17 62 23 6
6Q GAIN WILD-TYPE 218 155 90 29

Figure S10.  Get High-res Image Gene #12: '6q gain' versus Molecular Subtype #3: 'CN_CNMF'

'7p gain' versus 'MRNA_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S11.  Gene #13: '7p gain' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 49 41 76 49
7P GAIN MUTATED 12 27 30 37
7P GAIN WILD-TYPE 37 14 46 12

Figure S11.  Get High-res Image Gene #13: '7p gain' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

'7p gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S12.  Gene #13: '7p gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
7P GAIN MUTATED 80 161 72 26
7P GAIN WILD-TYPE 155 56 41 9

Figure S12.  Get High-res Image Gene #13: '7p gain' versus Molecular Subtype #3: 'CN_CNMF'

'7p gain' versus 'METHLYATION_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S13.  Gene #13: '7p gain' versus Molecular Subtype #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 98 155 121
7P GAIN MUTATED 53 118 57
7P GAIN WILD-TYPE 45 37 64

Figure S13.  Get High-res Image Gene #13: '7p gain' versus Molecular Subtype #4: 'METHLYATION_CNMF'

'7p gain' versus 'MRNASEQ_CNMF'

P value = 2e-05 (Fisher's exact test), Q value = 0.017

Table S14.  Gene #13: '7p gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
7P GAIN MUTATED 76 54 104 98
7P GAIN WILD-TYPE 51 76 35 90

Figure S14.  Get High-res Image Gene #13: '7p gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'7p gain' versus 'MRNASEQ_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S15.  Gene #13: '7p gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
7P GAIN MUTATED 32 67 10 45 56 33 89
7P GAIN WILD-TYPE 32 40 35 20 10 63 52

Figure S15.  Get High-res Image Gene #13: '7p gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'7p gain' versus 'MIRSEQ_MATURE_CNMF'

P value = 3e-05 (Fisher's exact test), Q value = 0.025

Table S16.  Gene #13: '7p gain' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 100 109 85
7P GAIN MUTATED 71 47 62
7P GAIN WILD-TYPE 29 62 23

Figure S16.  Get High-res Image Gene #13: '7p gain' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

'7p gain' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S17.  Gene #13: '7p gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
7P GAIN MUTATED 58 38 51 20 13
7P GAIN WILD-TYPE 24 14 16 13 47

Figure S17.  Get High-res Image Gene #13: '7p gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'7q gain' versus 'MRNA_CNMF'

P value = 2e-04 (Fisher's exact test), Q value = 0.16

Table S18.  Gene #14: '7q gain' versus Molecular Subtype #1: 'MRNA_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 43 62 69 41
7Q GAIN MUTATED 9 36 36 12
7Q GAIN WILD-TYPE 34 26 33 29

Figure S18.  Get High-res Image Gene #14: '7q gain' versus Molecular Subtype #1: 'MRNA_CNMF'

'7q gain' versus 'MRNA_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S19.  Gene #14: '7q gain' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 49 41 76 49
7Q GAIN MUTATED 9 22 26 36
7Q GAIN WILD-TYPE 40 19 50 13

Figure S19.  Get High-res Image Gene #14: '7q gain' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

'7q gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S20.  Gene #14: '7q gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
7Q GAIN MUTATED 75 141 65 21
7Q GAIN WILD-TYPE 160 76 48 14

Figure S20.  Get High-res Image Gene #14: '7q gain' versus Molecular Subtype #3: 'CN_CNMF'

'7q gain' versus 'METHLYATION_CNMF'

P value = 6e-05 (Fisher's exact test), Q value = 0.05

Table S21.  Gene #14: '7q gain' versus Molecular Subtype #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 98 155 121
7Q GAIN MUTATED 46 104 52
7Q GAIN WILD-TYPE 52 51 69

Figure S21.  Get High-res Image Gene #14: '7q gain' versus Molecular Subtype #4: 'METHLYATION_CNMF'

'7q gain' versus 'MRNASEQ_CNMF'

P value = 2e-05 (Fisher's exact test), Q value = 0.017

Table S22.  Gene #14: '7q gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
7Q GAIN MUTATED 64 49 95 88
7Q GAIN WILD-TYPE 63 81 44 100

Figure S22.  Get High-res Image Gene #14: '7q gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'7q gain' versus 'MRNASEQ_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S23.  Gene #14: '7q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
7Q GAIN MUTATED 29 62 9 40 48 29 79
7Q GAIN WILD-TYPE 35 45 36 25 18 67 62

Figure S23.  Get High-res Image Gene #14: '7q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'7q gain' versus 'MIRSEQ_MATURE_CNMF'

P value = 4e-05 (Fisher's exact test), Q value = 0.033

Table S24.  Gene #14: '7q gain' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 100 109 85
7Q GAIN MUTATED 62 42 58
7Q GAIN WILD-TYPE 38 67 27

Figure S24.  Get High-res Image Gene #14: '7q gain' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

'7q gain' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S25.  Gene #14: '7q gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
7Q GAIN MUTATED 50 33 46 20 13
7Q GAIN WILD-TYPE 32 19 21 13 47

Figure S25.  Get High-res Image Gene #14: '7q gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'8p gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S26.  Gene #15: '8p gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
8P GAIN MUTATED 46 52 54 12
8P GAIN WILD-TYPE 189 165 59 23

Figure S26.  Get High-res Image Gene #15: '8p gain' versus Molecular Subtype #3: 'CN_CNMF'

'8q gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S27.  Gene #16: '8q gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
8Q GAIN MUTATED 71 109 104 22
8Q GAIN WILD-TYPE 164 108 9 13

Figure S27.  Get High-res Image Gene #16: '8q gain' versus Molecular Subtype #3: 'CN_CNMF'

'8q gain' versus 'MRNASEQ_CNMF'

P value = 0.00016 (Fisher's exact test), Q value = 0.13

Table S28.  Gene #16: '8q gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
8Q GAIN MUTATED 73 47 86 92
8Q GAIN WILD-TYPE 54 83 53 96

Figure S28.  Get High-res Image Gene #16: '8q gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'11p gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S29.  Gene #21: '11p gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
11P GAIN MUTATED 10 48 14 10
11P GAIN WILD-TYPE 225 169 99 25

Figure S29.  Get High-res Image Gene #21: '11p gain' versus Molecular Subtype #3: 'CN_CNMF'

'11p gain' versus 'METHLYATION_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S30.  Gene #21: '11p gain' versus Molecular Subtype #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 98 155 121
11P GAIN MUTATED 12 37 6
11P GAIN WILD-TYPE 86 118 115

Figure S30.  Get High-res Image Gene #21: '11p gain' versus Molecular Subtype #4: 'METHLYATION_CNMF'

'11q gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S31.  Gene #22: '11q gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
11Q GAIN MUTATED 5 45 13 11
11Q GAIN WILD-TYPE 230 172 100 24

Figure S31.  Get High-res Image Gene #22: '11q gain' versus Molecular Subtype #3: 'CN_CNMF'

'11q gain' versus 'METHLYATION_CNMF'

P value = 2e-05 (Fisher's exact test), Q value = 0.017

Table S32.  Gene #22: '11q gain' versus Molecular Subtype #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 98 155 121
11Q GAIN MUTATED 8 34 5
11Q GAIN WILD-TYPE 90 121 116

Figure S32.  Get High-res Image Gene #22: '11q gain' versus Molecular Subtype #4: 'METHLYATION_CNMF'

'11q gain' versus 'MRNASEQ_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S33.  Gene #22: '11q gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
11Q GAIN MUTATED 14 3 32 24
11Q GAIN WILD-TYPE 113 127 107 164

Figure S33.  Get High-res Image Gene #22: '11q gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'11q gain' versus 'MRNASEQ_CHIERARCHICAL'

P value = 3e-05 (Fisher's exact test), Q value = 0.025

Table S34.  Gene #22: '11q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
11Q GAIN MUTATED 4 9 0 15 16 5 24
11Q GAIN WILD-TYPE 60 98 45 50 50 91 117

Figure S34.  Get High-res Image Gene #22: '11q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'11q gain' versus 'MIRSEQ_MATURE_CNMF'

P value = 0.00019 (Fisher's exact test), Q value = 0.15

Table S35.  Gene #22: '11q gain' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 100 109 85
11Q GAIN MUTATED 18 3 16
11Q GAIN WILD-TYPE 82 106 69

Figure S35.  Get High-res Image Gene #22: '11q gain' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

'13q gain' versus 'MRNA_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S36.  Gene #25: '13q gain' versus Molecular Subtype #1: 'MRNA_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 43 62 69 41
13Q GAIN MUTATED 16 46 52 14
13Q GAIN WILD-TYPE 27 16 17 27

Figure S36.  Get High-res Image Gene #25: '13q gain' versus Molecular Subtype #1: 'MRNA_CNMF'

'13q gain' versus 'MRNA_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S37.  Gene #25: '13q gain' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 49 41 76 49
13Q GAIN MUTATED 12 29 48 39
13Q GAIN WILD-TYPE 37 12 28 10

Figure S37.  Get High-res Image Gene #25: '13q gain' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

'13q gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S38.  Gene #25: '13q gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
13Q GAIN MUTATED 78 194 68 19
13Q GAIN WILD-TYPE 157 23 45 16

Figure S38.  Get High-res Image Gene #25: '13q gain' versus Molecular Subtype #3: 'CN_CNMF'

'13q gain' versus 'METHLYATION_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S39.  Gene #25: '13q gain' versus Molecular Subtype #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 98 155 121
13Q GAIN MUTATED 56 119 54
13Q GAIN WILD-TYPE 42 36 67

Figure S39.  Get High-res Image Gene #25: '13q gain' versus Molecular Subtype #4: 'METHLYATION_CNMF'

'13q gain' versus 'MRNASEQ_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S40.  Gene #25: '13q gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
13Q GAIN MUTATED 70 56 105 120
13Q GAIN WILD-TYPE 57 74 34 68

Figure S40.  Get High-res Image Gene #25: '13q gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'13q gain' versus 'MRNASEQ_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S41.  Gene #25: '13q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
13Q GAIN MUTATED 24 72 14 49 52 33 107
13Q GAIN WILD-TYPE 40 35 31 16 14 63 34

Figure S41.  Get High-res Image Gene #25: '13q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'13q gain' versus 'MIRSEQ_MATURE_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S42.  Gene #25: '13q gain' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 100 109 85
13Q GAIN MUTATED 78 48 62
13Q GAIN WILD-TYPE 22 61 23

Figure S42.  Get High-res Image Gene #25: '13q gain' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

'13q gain' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S43.  Gene #25: '13q gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
13Q GAIN MUTATED 54 42 55 21 16
13Q GAIN WILD-TYPE 28 10 12 12 44

Figure S43.  Get High-res Image Gene #25: '13q gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'16p gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S44.  Gene #28: '16p gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
16P GAIN MUTATED 15 97 21 8
16P GAIN WILD-TYPE 220 120 92 27

Figure S44.  Get High-res Image Gene #28: '16p gain' versus Molecular Subtype #3: 'CN_CNMF'

'16p gain' versus 'MRNASEQ_CNMF'

P value = 0.00025 (Fisher's exact test), Q value = 0.2

Table S45.  Gene #28: '16p gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
16P GAIN MUTATED 25 16 45 53
16P GAIN WILD-TYPE 102 114 94 135

Figure S45.  Get High-res Image Gene #28: '16p gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'16p gain' versus 'MRNASEQ_CHIERARCHICAL'

P value = 0.00024 (Fisher's exact test), Q value = 0.19

Table S46.  Gene #28: '16p gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
16P GAIN MUTATED 15 20 3 15 22 15 49
16P GAIN WILD-TYPE 49 87 42 50 44 81 92

Figure S46.  Get High-res Image Gene #28: '16p gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'16p gain' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 7e-05 (Fisher's exact test), Q value = 0.058

Table S47.  Gene #28: '16p gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
16P GAIN MUTATED 22 14 23 9 2
16P GAIN WILD-TYPE 60 38 44 24 58

Figure S47.  Get High-res Image Gene #28: '16p gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'16q gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S48.  Gene #29: '16q gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
16Q GAIN MUTATED 14 97 20 8
16Q GAIN WILD-TYPE 221 120 93 27

Figure S48.  Get High-res Image Gene #29: '16q gain' versus Molecular Subtype #3: 'CN_CNMF'

'16q gain' versus 'MRNASEQ_CHIERARCHICAL'

P value = 0.00019 (Fisher's exact test), Q value = 0.15

Table S49.  Gene #29: '16q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
16Q GAIN MUTATED 15 19 3 16 24 14 46
16Q GAIN WILD-TYPE 49 88 42 49 42 82 95

Figure S49.  Get High-res Image Gene #29: '16q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'16q gain' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 5e-05 (Fisher's exact test), Q value = 0.041

Table S50.  Gene #29: '16q gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
16Q GAIN MUTATED 21 15 25 9 2
16Q GAIN WILD-TYPE 61 37 42 24 58

Figure S50.  Get High-res Image Gene #29: '16q gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'17q gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S51.  Gene #31: '17q gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
17Q GAIN MUTATED 19 57 26 5
17Q GAIN WILD-TYPE 216 160 87 30

Figure S51.  Get High-res Image Gene #31: '17q gain' versus Molecular Subtype #3: 'CN_CNMF'

'17q gain' versus 'MRNASEQ_CNMF'

P value = 0.00016 (Fisher's exact test), Q value = 0.13

Table S52.  Gene #31: '17q gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
17Q GAIN MUTATED 16 15 43 31
17Q GAIN WILD-TYPE 111 115 96 157

Figure S52.  Get High-res Image Gene #31: '17q gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'17q gain' versus 'MRNASEQ_CHIERARCHICAL'

P value = 2e-05 (Fisher's exact test), Q value = 0.017

Table S53.  Gene #31: '17q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
17Q GAIN MUTATED 6 19 2 21 16 7 34
17Q GAIN WILD-TYPE 58 88 43 44 50 89 107

Figure S53.  Get High-res Image Gene #31: '17q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'18q gain' versus 'MRNASEQ_CHIERARCHICAL'

P value = 0.00022 (Fisher's exact test), Q value = 0.18

Table S54.  Gene #33: '18q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
18Q GAIN MUTATED 7 2 4 1 1 5 0
18Q GAIN WILD-TYPE 57 105 41 64 65 91 141

Figure S54.  Get High-res Image Gene #33: '18q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'19p gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S55.  Gene #34: '19p gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
19P GAIN MUTATED 16 58 20 6
19P GAIN WILD-TYPE 219 159 93 29

Figure S55.  Get High-res Image Gene #34: '19p gain' versus Molecular Subtype #3: 'CN_CNMF'

'19q gain' versus 'CN_CNMF'

P value = 3e-05 (Fisher's exact test), Q value = 0.025

Table S56.  Gene #35: '19q gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
19Q GAIN MUTATED 22 61 20 7
19Q GAIN WILD-TYPE 213 156 93 28

Figure S56.  Get High-res Image Gene #35: '19q gain' versus Molecular Subtype #3: 'CN_CNMF'

'20p gain' versus 'MRNA_CNMF'

P value = 0.00025 (Fisher's exact test), Q value = 0.2

Table S57.  Gene #36: '20p gain' versus Molecular Subtype #1: 'MRNA_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 43 62 69 41
20P GAIN MUTATED 16 40 51 18
20P GAIN WILD-TYPE 27 22 18 23

Figure S57.  Get High-res Image Gene #36: '20p gain' versus Molecular Subtype #1: 'MRNA_CNMF'

'20p gain' versus 'MRNA_CHIERARCHICAL'

P value = 2e-05 (Fisher's exact test), Q value = 0.017

Table S58.  Gene #36: '20p gain' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 49 41 76 49
20P GAIN MUTATED 13 27 50 35
20P GAIN WILD-TYPE 36 14 26 14

Figure S58.  Get High-res Image Gene #36: '20p gain' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

'20p gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S59.  Gene #36: '20p gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
20P GAIN MUTATED 92 151 65 35
20P GAIN WILD-TYPE 143 66 48 0

Figure S59.  Get High-res Image Gene #36: '20p gain' versus Molecular Subtype #3: 'CN_CNMF'

'20p gain' versus 'MRNASEQ_CNMF'

P value = 9e-05 (Fisher's exact test), Q value = 0.074

Table S60.  Gene #36: '20p gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
20P GAIN MUTATED 70 54 93 117
20P GAIN WILD-TYPE 57 76 46 71

Figure S60.  Get High-res Image Gene #36: '20p gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'20p gain' versus 'MRNASEQ_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S61.  Gene #36: '20p gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
20P GAIN MUTATED 30 68 12 48 41 35 100
20P GAIN WILD-TYPE 34 39 33 17 25 61 41

Figure S61.  Get High-res Image Gene #36: '20p gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'20p gain' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 4e-05 (Fisher's exact test), Q value = 0.033

Table S62.  Gene #36: '20p gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
20P GAIN MUTATED 54 34 45 21 17
20P GAIN WILD-TYPE 28 18 22 12 43

Figure S62.  Get High-res Image Gene #36: '20p gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'20q gain' versus 'MRNA_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S63.  Gene #37: '20q gain' versus Molecular Subtype #1: 'MRNA_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 43 62 69 41
20Q GAIN MUTATED 18 60 63 22
20Q GAIN WILD-TYPE 25 2 6 19

Figure S63.  Get High-res Image Gene #37: '20q gain' versus Molecular Subtype #1: 'MRNA_CNMF'

'20q gain' versus 'MRNA_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S64.  Gene #37: '20q gain' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 49 41 76 49
20Q GAIN MUTATED 15 39 61 48
20Q GAIN WILD-TYPE 34 2 15 1

Figure S64.  Get High-res Image Gene #37: '20q gain' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

'20q gain' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S65.  Gene #37: '20q gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
20Q GAIN MUTATED 111 213 95 35
20Q GAIN WILD-TYPE 124 4 18 0

Figure S65.  Get High-res Image Gene #37: '20q gain' versus Molecular Subtype #3: 'CN_CNMF'

'20q gain' versus 'METHLYATION_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S66.  Gene #37: '20q gain' versus Molecular Subtype #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 98 155 121
20Q GAIN MUTATED 68 150 67
20Q GAIN WILD-TYPE 30 5 54

Figure S66.  Get High-res Image Gene #37: '20q gain' versus Molecular Subtype #4: 'METHLYATION_CNMF'

'20q gain' versus 'MRNASEQ_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S67.  Gene #37: '20q gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
20Q GAIN MUTATED 93 67 135 147
20Q GAIN WILD-TYPE 34 63 4 41

Figure S67.  Get High-res Image Gene #37: '20q gain' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'20q gain' versus 'MRNASEQ_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S68.  Gene #37: '20q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
20Q GAIN MUTATED 39 86 13 62 64 43 135
20Q GAIN WILD-TYPE 25 21 32 3 2 53 6

Figure S68.  Get High-res Image Gene #37: '20q gain' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'20q gain' versus 'MIRSEQ_MATURE_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S69.  Gene #37: '20q gain' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 100 109 85
20Q GAIN MUTATED 93 59 75
20Q GAIN WILD-TYPE 7 50 10

Figure S69.  Get High-res Image Gene #37: '20q gain' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

'20q gain' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S70.  Gene #37: '20q gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
20Q GAIN MUTATED 68 47 62 31 19
20Q GAIN WILD-TYPE 14 5 5 2 41

Figure S70.  Get High-res Image Gene #37: '20q gain' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'xq gain' versus 'CN_CNMF'

P value = 0.00014 (Fisher's exact test), Q value = 0.11

Table S71.  Gene #40: 'xq gain' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
XQ GAIN MUTATED 22 49 27 3
XQ GAIN WILD-TYPE 213 168 86 32

Figure S71.  Get High-res Image Gene #40: 'xq gain' versus Molecular Subtype #3: 'CN_CNMF'

'1p loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S72.  Gene #41: '1p loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
1P LOSS MUTATED 24 75 17 19
1P LOSS WILD-TYPE 211 142 96 16

Figure S72.  Get High-res Image Gene #41: '1p loss' versus Molecular Subtype #3: 'CN_CNMF'

'1p loss' versus 'MRNASEQ_CHIERARCHICAL'

P value = 0.00027 (Fisher's exact test), Q value = 0.21

Table S73.  Gene #41: '1p loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
1P LOSS MUTATED 9 19 4 23 21 13 40
1P LOSS WILD-TYPE 55 88 41 42 45 83 101

Figure S73.  Get High-res Image Gene #41: '1p loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'1q loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S74.  Gene #42: '1q loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
1Q LOSS MUTATED 14 39 10 13
1Q LOSS WILD-TYPE 221 178 103 22

Figure S74.  Get High-res Image Gene #42: '1q loss' versus Molecular Subtype #3: 'CN_CNMF'

'1q loss' versus 'MRNASEQ_CNMF'

P value = 0.00021 (Fisher's exact test), Q value = 0.17

Table S75.  Gene #42: '1q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
1Q LOSS MUTATED 17 4 27 24
1Q LOSS WILD-TYPE 110 126 112 164

Figure S75.  Get High-res Image Gene #42: '1q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'4p loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S76.  Gene #47: '4p loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
4P LOSS MUTATED 34 100 30 26
4P LOSS WILD-TYPE 201 117 83 9

Figure S76.  Get High-res Image Gene #47: '4p loss' versus Molecular Subtype #3: 'CN_CNMF'

'4p loss' versus 'MRNASEQ_CHIERARCHICAL'

P value = 0.00013 (Fisher's exact test), Q value = 0.11

Table S77.  Gene #47: '4p loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
4P LOSS MUTATED 14 27 6 30 28 25 54
4P LOSS WILD-TYPE 50 80 39 35 38 71 87

Figure S77.  Get High-res Image Gene #47: '4p loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'4p loss' versus 'MIRSEQ_MATURE_CNMF'

P value = 7e-05 (Fisher's exact test), Q value = 0.058

Table S78.  Gene #47: '4p loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 100 109 85
4P LOSS MUTATED 43 18 31
4P LOSS WILD-TYPE 57 91 54

Figure S78.  Get High-res Image Gene #47: '4p loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

'4q loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S79.  Gene #48: '4q loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
4Q LOSS MUTATED 32 97 32 23
4Q LOSS WILD-TYPE 203 120 81 12

Figure S79.  Get High-res Image Gene #48: '4q loss' versus Molecular Subtype #3: 'CN_CNMF'

'4q loss' versus 'METHLYATION_CNMF'

P value = 5e-05 (Fisher's exact test), Q value = 0.041

Table S80.  Gene #48: '4q loss' versus Molecular Subtype #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 98 155 121
4Q LOSS MUTATED 29 65 20
4Q LOSS WILD-TYPE 69 90 101

Figure S80.  Get High-res Image Gene #48: '4q loss' versus Molecular Subtype #4: 'METHLYATION_CNMF'

'4q loss' versus 'MRNASEQ_CHIERARCHICAL'

P value = 0.00015 (Fisher's exact test), Q value = 0.12

Table S81.  Gene #48: '4q loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
4Q LOSS MUTATED 14 28 4 29 26 24 52
4Q LOSS WILD-TYPE 50 79 41 36 40 72 89

Figure S81.  Get High-res Image Gene #48: '4q loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'4q loss' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 0.00023 (Fisher's exact test), Q value = 0.18

Table S82.  Gene #48: '4q loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
4Q LOSS MUTATED 24 21 25 13 5
4Q LOSS WILD-TYPE 58 31 42 20 55

Figure S82.  Get High-res Image Gene #48: '4q loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'5p loss' versus 'CN_CNMF'

P value = 3e-05 (Fisher's exact test), Q value = 0.025

Table S83.  Gene #49: '5p loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
5P LOSS MUTATED 15 35 19 12
5P LOSS WILD-TYPE 220 182 94 23

Figure S83.  Get High-res Image Gene #49: '5p loss' versus Molecular Subtype #3: 'CN_CNMF'

'5q loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S84.  Gene #50: '5q loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
5Q LOSS MUTATED 18 52 31 14
5Q LOSS WILD-TYPE 217 165 82 21

Figure S84.  Get High-res Image Gene #50: '5q loss' versus Molecular Subtype #3: 'CN_CNMF'

'5q loss' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 7e-05 (Fisher's exact test), Q value = 0.058

Table S85.  Gene #50: '5q loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
5Q LOSS MUTATED 17 19 15 8 1
5Q LOSS WILD-TYPE 65 33 52 25 59

Figure S85.  Get High-res Image Gene #50: '5q loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'8p loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S86.  Gene #54: '8p loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
8P LOSS MUTATED 32 112 56 12
8P LOSS WILD-TYPE 203 105 57 23

Figure S86.  Get High-res Image Gene #54: '8p loss' versus Molecular Subtype #3: 'CN_CNMF'

'8p loss' versus 'METHLYATION_CNMF'

P value = 8e-05 (Fisher's exact test), Q value = 0.066

Table S87.  Gene #54: '8p loss' versus Molecular Subtype #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 98 155 121
8P LOSS MUTATED 29 73 27
8P LOSS WILD-TYPE 69 82 94

Figure S87.  Get High-res Image Gene #54: '8p loss' versus Molecular Subtype #4: 'METHLYATION_CNMF'

'8p loss' versus 'MRNASEQ_CHIERARCHICAL'

P value = 4e-05 (Fisher's exact test), Q value = 0.033

Table S88.  Gene #54: '8p loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
8P LOSS MUTATED 21 36 4 22 30 26 67
8P LOSS WILD-TYPE 43 71 41 43 36 70 74

Figure S88.  Get High-res Image Gene #54: '8p loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'8p loss' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 2e-05 (Fisher's exact test), Q value = 0.017

Table S89.  Gene #54: '8p loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
8P LOSS MUTATED 36 24 28 10 6
8P LOSS WILD-TYPE 46 28 39 23 54

Figure S89.  Get High-res Image Gene #54: '8p loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'9p loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S90.  Gene #56: '9p loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
9P LOSS MUTATED 11 42 13 7
9P LOSS WILD-TYPE 224 175 100 28

Figure S90.  Get High-res Image Gene #56: '9p loss' versus Molecular Subtype #3: 'CN_CNMF'

'9p loss' versus 'MRNASEQ_CNMF'

P value = 9e-05 (Fisher's exact test), Q value = 0.074

Table S91.  Gene #56: '9p loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
9P LOSS MUTATED 17 6 31 17
9P LOSS WILD-TYPE 110 124 108 171

Figure S91.  Get High-res Image Gene #56: '9p loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'9q loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S92.  Gene #57: '9q loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
9Q LOSS MUTATED 10 44 12 6
9Q LOSS WILD-TYPE 225 173 101 29

Figure S92.  Get High-res Image Gene #57: '9q loss' versus Molecular Subtype #3: 'CN_CNMF'

'9q loss' versus 'MRNASEQ_CNMF'

P value = 9e-05 (Fisher's exact test), Q value = 0.074

Table S93.  Gene #57: '9q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
9Q LOSS MUTATED 19 5 29 17
9Q LOSS WILD-TYPE 108 125 110 171

Figure S93.  Get High-res Image Gene #57: '9q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'9q loss' versus 'MIRSEQ_MATURE_CNMF'

P value = 0.00022 (Fisher's exact test), Q value = 0.18

Table S94.  Gene #57: '9q loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 100 109 85
9Q LOSS MUTATED 20 4 16
9Q LOSS WILD-TYPE 80 105 69

Figure S94.  Get High-res Image Gene #57: '9q loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

'10p loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S95.  Gene #58: '10p loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
10P LOSS MUTATED 16 43 25 14
10P LOSS WILD-TYPE 219 174 88 21

Figure S95.  Get High-res Image Gene #58: '10p loss' versus Molecular Subtype #3: 'CN_CNMF'

'10q loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S96.  Gene #59: '10q loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
10Q LOSS MUTATED 13 46 30 17
10Q LOSS WILD-TYPE 222 171 83 18

Figure S96.  Get High-res Image Gene #59: '10q loss' versus Molecular Subtype #3: 'CN_CNMF'

'10q loss' versus 'MRNASEQ_CNMF'

P value = 3e-05 (Fisher's exact test), Q value = 0.025

Table S97.  Gene #59: '10q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
10Q LOSS MUTATED 20 9 40 34
10Q LOSS WILD-TYPE 107 121 99 154

Figure S97.  Get High-res Image Gene #59: '10q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'10q loss' versus 'MRNASEQ_CHIERARCHICAL'

P value = 2e-05 (Fisher's exact test), Q value = 0.017

Table S98.  Gene #59: '10q loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
10Q LOSS MUTATED 7 15 1 13 27 14 26
10Q LOSS WILD-TYPE 57 92 44 52 39 82 115

Figure S98.  Get High-res Image Gene #59: '10q loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'10q loss' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 0.00014 (Fisher's exact test), Q value = 0.11

Table S99.  Gene #59: '10q loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
10Q LOSS MUTATED 11 16 19 6 2
10Q LOSS WILD-TYPE 71 36 48 27 58

Figure S99.  Get High-res Image Gene #59: '10q loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'12p loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S100.  Gene #62: '12p loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
12P LOSS MUTATED 5 42 15 8
12P LOSS WILD-TYPE 230 175 98 27

Figure S100.  Get High-res Image Gene #62: '12p loss' versus Molecular Subtype #3: 'CN_CNMF'

'12q loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S101.  Gene #63: '12q loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
12Q LOSS MUTATED 8 40 13 9
12Q LOSS WILD-TYPE 227 177 100 26

Figure S101.  Get High-res Image Gene #63: '12q loss' versus Molecular Subtype #3: 'CN_CNMF'

'14q loss' versus 'MRNA_CNMF'

P value = 0.00021 (Fisher's exact test), Q value = 0.17

Table S102.  Gene #65: '14q loss' versus Molecular Subtype #1: 'MRNA_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 43 62 69 41
14Q LOSS MUTATED 10 29 33 6
14Q LOSS WILD-TYPE 33 33 36 35

Figure S102.  Get High-res Image Gene #65: '14q loss' versus Molecular Subtype #1: 'MRNA_CNMF'

'14q loss' versus 'MRNA_CHIERARCHICAL'

P value = 8e-05 (Fisher's exact test), Q value = 0.066

Table S103.  Gene #65: '14q loss' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 49 41 76 49
14Q LOSS MUTATED 6 20 27 25
14Q LOSS WILD-TYPE 43 21 49 24

Figure S103.  Get High-res Image Gene #65: '14q loss' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

'14q loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S104.  Gene #65: '14q loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
14Q LOSS MUTATED 25 141 19 14
14Q LOSS WILD-TYPE 210 76 94 21

Figure S104.  Get High-res Image Gene #65: '14q loss' versus Molecular Subtype #3: 'CN_CNMF'

'14q loss' versus 'METHLYATION_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S105.  Gene #65: '14q loss' versus Molecular Subtype #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 98 155 121
14Q LOSS MUTATED 28 72 20
14Q LOSS WILD-TYPE 70 83 101

Figure S105.  Get High-res Image Gene #65: '14q loss' versus Molecular Subtype #4: 'METHLYATION_CNMF'

'14q loss' versus 'MRNASEQ_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S106.  Gene #65: '14q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
14Q LOSS MUTATED 28 19 71 74
14Q LOSS WILD-TYPE 99 111 68 114

Figure S106.  Get High-res Image Gene #65: '14q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'14q loss' versus 'MRNASEQ_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S107.  Gene #65: '14q loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
14Q LOSS MUTATED 11 35 3 27 32 15 69
14Q LOSS WILD-TYPE 53 72 42 38 34 81 72

Figure S107.  Get High-res Image Gene #65: '14q loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'14q loss' versus 'MIRSEQ_MATURE_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S108.  Gene #65: '14q loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 100 109 85
14Q LOSS MUTATED 49 15 30
14Q LOSS WILD-TYPE 51 94 55

Figure S108.  Get High-res Image Gene #65: '14q loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

'14q loss' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S109.  Gene #65: '14q loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
14Q LOSS MUTATED 30 20 27 15 2
14Q LOSS WILD-TYPE 52 32 40 18 58

Figure S109.  Get High-res Image Gene #65: '14q loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'15q loss' versus 'MRNA_CNMF'

P value = 1e-04 (Fisher's exact test), Q value = 0.082

Table S110.  Gene #66: '15q loss' versus Molecular Subtype #1: 'MRNA_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 43 62 69 41
15Q LOSS MUTATED 11 32 36 7
15Q LOSS WILD-TYPE 32 30 33 34

Figure S110.  Get High-res Image Gene #66: '15q loss' versus Molecular Subtype #1: 'MRNA_CNMF'

'15q loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S111.  Gene #66: '15q loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
15Q LOSS MUTATED 31 119 46 26
15Q LOSS WILD-TYPE 204 98 67 9

Figure S111.  Get High-res Image Gene #66: '15q loss' versus Molecular Subtype #3: 'CN_CNMF'

'15q loss' versus 'MRNASEQ_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S112.  Gene #66: '15q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
15Q LOSS MUTATED 47 26 66 77
15Q LOSS WILD-TYPE 80 104 73 111

Figure S112.  Get High-res Image Gene #66: '15q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'15q loss' versus 'MRNASEQ_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S113.  Gene #66: '15q loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
15Q LOSS MUTATED 16 35 0 28 40 31 66
15Q LOSS WILD-TYPE 48 72 45 37 26 65 75

Figure S113.  Get High-res Image Gene #66: '15q loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'15q loss' versus 'MIRSEQ_MATURE_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S114.  Gene #66: '15q loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 100 109 85
15Q LOSS MUTATED 48 21 39
15Q LOSS WILD-TYPE 52 88 46

Figure S114.  Get High-res Image Gene #66: '15q loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

'15q loss' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S115.  Gene #66: '15q loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
15Q LOSS MUTATED 33 19 36 14 6
15Q LOSS WILD-TYPE 49 33 31 19 54

Figure S115.  Get High-res Image Gene #66: '15q loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'17p loss' versus 'MRNA_CNMF'

P value = 3e-05 (Fisher's exact test), Q value = 0.025

Table S116.  Gene #69: '17p loss' versus Molecular Subtype #1: 'MRNA_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 43 62 69 41
17P LOSS MUTATED 15 44 47 15
17P LOSS WILD-TYPE 28 18 22 26

Figure S116.  Get High-res Image Gene #69: '17p loss' versus Molecular Subtype #1: 'MRNA_CNMF'

'17p loss' versus 'MRNA_CHIERARCHICAL'

P value = 6e-05 (Fisher's exact test), Q value = 0.05

Table S117.  Gene #69: '17p loss' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 49 41 76 49
17P LOSS MUTATED 13 27 47 34
17P LOSS WILD-TYPE 36 14 29 15

Figure S117.  Get High-res Image Gene #69: '17p loss' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

'17p loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S118.  Gene #69: '17p loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
17P LOSS MUTATED 61 165 78 26
17P LOSS WILD-TYPE 174 52 35 9

Figure S118.  Get High-res Image Gene #69: '17p loss' versus Molecular Subtype #3: 'CN_CNMF'

'17p loss' versus 'METHLYATION_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S119.  Gene #69: '17p loss' versus Molecular Subtype #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 98 155 121
17P LOSS MUTATED 43 113 50
17P LOSS WILD-TYPE 55 42 71

Figure S119.  Get High-res Image Gene #69: '17p loss' versus Molecular Subtype #4: 'METHLYATION_CNMF'

'17p loss' versus 'MRNASEQ_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S120.  Gene #69: '17p loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
17P LOSS MUTATED 69 45 97 110
17P LOSS WILD-TYPE 58 85 42 78

Figure S120.  Get High-res Image Gene #69: '17p loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'17p loss' versus 'MRNASEQ_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S121.  Gene #69: '17p loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
17P LOSS MUTATED 32 58 6 43 47 40 95
17P LOSS WILD-TYPE 32 49 39 22 19 56 46

Figure S121.  Get High-res Image Gene #69: '17p loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'17p loss' versus 'MIRSEQ_MATURE_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S122.  Gene #69: '17p loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 100 109 85
17P LOSS MUTATED 72 40 51
17P LOSS WILD-TYPE 28 69 34

Figure S122.  Get High-res Image Gene #69: '17p loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

'17p loss' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S123.  Gene #69: '17p loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
17P LOSS MUTATED 51 37 46 20 9
17P LOSS WILD-TYPE 31 15 21 13 51

Figure S123.  Get High-res Image Gene #69: '17p loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'18p loss' versus 'MRNA_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S124.  Gene #71: '18p loss' versus Molecular Subtype #1: 'MRNA_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 43 62 69 41
18P LOSS MUTATED 13 52 54 12
18P LOSS WILD-TYPE 30 10 15 29

Figure S124.  Get High-res Image Gene #71: '18p loss' versus Molecular Subtype #1: 'MRNA_CNMF'

'18p loss' versus 'MRNA_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S125.  Gene #71: '18p loss' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 49 41 76 49
18P LOSS MUTATED 10 35 44 42
18P LOSS WILD-TYPE 39 6 32 7

Figure S125.  Get High-res Image Gene #71: '18p loss' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

'18p loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S126.  Gene #71: '18p loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
18P LOSS MUTATED 62 197 78 30
18P LOSS WILD-TYPE 173 20 35 5

Figure S126.  Get High-res Image Gene #71: '18p loss' versus Molecular Subtype #3: 'CN_CNMF'

'18p loss' versus 'METHLYATION_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S127.  Gene #71: '18p loss' versus Molecular Subtype #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 98 155 121
18P LOSS MUTATED 50 141 43
18P LOSS WILD-TYPE 48 14 78

Figure S127.  Get High-res Image Gene #71: '18p loss' versus Molecular Subtype #4: 'METHLYATION_CNMF'

'18p loss' versus 'MRNASEQ_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S128.  Gene #71: '18p loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
18P LOSS MUTATED 73 41 125 119
18P LOSS WILD-TYPE 54 89 14 69

Figure S128.  Get High-res Image Gene #71: '18p loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'18p loss' versus 'MRNASEQ_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S129.  Gene #71: '18p loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
18P LOSS MUTATED 25 65 7 56 59 35 111
18P LOSS WILD-TYPE 39 42 38 9 7 61 30

Figure S129.  Get High-res Image Gene #71: '18p loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'18p loss' versus 'MIRSEQ_MATURE_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S130.  Gene #71: '18p loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 100 109 85
18P LOSS MUTATED 87 36 60
18P LOSS WILD-TYPE 13 73 25

Figure S130.  Get High-res Image Gene #71: '18p loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

'18p loss' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S131.  Gene #71: '18p loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
18P LOSS MUTATED 53 40 52 28 10
18P LOSS WILD-TYPE 29 12 15 5 50

Figure S131.  Get High-res Image Gene #71: '18p loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'18q loss' versus 'MRNA_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S132.  Gene #72: '18q loss' versus Molecular Subtype #1: 'MRNA_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 43 62 69 41
18Q LOSS MUTATED 16 54 56 14
18Q LOSS WILD-TYPE 27 8 13 27

Figure S132.  Get High-res Image Gene #72: '18q loss' versus Molecular Subtype #1: 'MRNA_CNMF'

'18q loss' versus 'MRNA_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S133.  Gene #72: '18q loss' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 49 41 76 49
18Q LOSS MUTATED 13 36 49 42
18Q LOSS WILD-TYPE 36 5 27 7

Figure S133.  Get High-res Image Gene #72: '18q loss' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

'18q loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S134.  Gene #72: '18q loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
18Q LOSS MUTATED 73 200 90 33
18Q LOSS WILD-TYPE 162 17 23 2

Figure S134.  Get High-res Image Gene #72: '18q loss' versus Molecular Subtype #3: 'CN_CNMF'

'18q loss' versus 'METHLYATION_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S135.  Gene #72: '18q loss' versus Molecular Subtype #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 98 155 121
18Q LOSS MUTATED 57 142 54
18Q LOSS WILD-TYPE 41 13 67

Figure S135.  Get High-res Image Gene #72: '18q loss' versus Molecular Subtype #4: 'METHLYATION_CNMF'

'18q loss' versus 'MRNASEQ_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S136.  Gene #72: '18q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
18Q LOSS MUTATED 82 50 126 128
18Q LOSS WILD-TYPE 45 80 13 60

Figure S136.  Get High-res Image Gene #72: '18q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'18q loss' versus 'MRNASEQ_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S137.  Gene #72: '18q loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
18Q LOSS MUTATED 31 71 9 56 63 41 115
18Q LOSS WILD-TYPE 33 36 36 9 3 55 26

Figure S137.  Get High-res Image Gene #72: '18q loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

'18q loss' versus 'MIRSEQ_MATURE_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S138.  Gene #72: '18q loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 100 109 85
18Q LOSS MUTATED 89 44 64
18Q LOSS WILD-TYPE 11 65 21

Figure S138.  Get High-res Image Gene #72: '18q loss' versus Molecular Subtype #11: 'MIRSEQ_MATURE_CNMF'

'18q loss' versus 'MIRSEQ_MATURE_CHIERARCHICAL'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S139.  Gene #72: '18q loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5
ALL 82 52 67 33 60
18Q LOSS MUTATED 60 44 54 28 11
18Q LOSS WILD-TYPE 22 8 13 5 49

Figure S139.  Get High-res Image Gene #72: '18q loss' versus Molecular Subtype #12: 'MIRSEQ_MATURE_CHIERARCHICAL'

'19p loss' versus 'CN_CNMF'

P value = 9e-05 (Fisher's exact test), Q value = 0.074

Table S140.  Gene #73: '19p loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
19P LOSS MUTATED 10 29 17 8
19P LOSS WILD-TYPE 225 188 96 27

Figure S140.  Get High-res Image Gene #73: '19p loss' versus Molecular Subtype #3: 'CN_CNMF'

'19q loss' versus 'CN_CNMF'

P value = 0.00021 (Fisher's exact test), Q value = 0.17

Table S141.  Gene #74: '19q loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
19Q LOSS MUTATED 9 21 17 7
19Q LOSS WILD-TYPE 226 196 96 28

Figure S141.  Get High-res Image Gene #74: '19q loss' versus Molecular Subtype #3: 'CN_CNMF'

'20p loss' versus 'CN_CNMF'

P value = 4e-05 (Fisher's exact test), Q value = 0.033

Table S142.  Gene #75: '20p loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
20P LOSS MUTATED 12 35 17 0
20P LOSS WILD-TYPE 223 182 96 35

Figure S142.  Get High-res Image Gene #75: '20p loss' versus Molecular Subtype #3: 'CN_CNMF'

'21q loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S143.  Gene #77: '21q loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
21Q LOSS MUTATED 46 96 26 19
21Q LOSS WILD-TYPE 189 121 87 16

Figure S143.  Get High-res Image Gene #77: '21q loss' versus Molecular Subtype #3: 'CN_CNMF'

'21q loss' versus 'MRNASEQ_CNMF'

P value = 7e-05 (Fisher's exact test), Q value = 0.058

Table S144.  Gene #77: '21q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 127 130 139 188
21Q LOSS MUTATED 35 25 64 58
21Q LOSS WILD-TYPE 92 105 75 130

Figure S144.  Get High-res Image Gene #77: '21q loss' versus Molecular Subtype #7: 'MRNASEQ_CNMF'

'22q loss' versus 'MRNA_CHIERARCHICAL'

P value = 0.00031 (Fisher's exact test), Q value = 0.25

Table S145.  Gene #78: '22q loss' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 49 41 76 49
22Q LOSS MUTATED 5 16 31 22
22Q LOSS WILD-TYPE 44 25 45 27

Figure S145.  Get High-res Image Gene #78: '22q loss' versus Molecular Subtype #2: 'MRNA_CHIERARCHICAL'

'22q loss' versus 'CN_CNMF'

P value = 1e-05 (Fisher's exact test), Q value = 0.0094

Table S146.  Gene #78: '22q loss' versus Molecular Subtype #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 235 217 113 35
22Q LOSS MUTATED 38 111 29 19
22Q LOSS WILD-TYPE 197 106 84 16

Figure S146.  Get High-res Image Gene #78: '22q loss' versus Molecular Subtype #3: 'CN_CNMF'

'22q loss' versus 'MRNASEQ_CHIERARCHICAL'

P value = 0.00024 (Fisher's exact test), Q value = 0.19

Table S147.  Gene #78: '22q loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
ALL 64 107 45 65 66 96 141
22Q LOSS MUTATED 17 36 4 26 26 23 60
22Q LOSS WILD-TYPE 47 71 41 39 40 73 81

Figure S147.  Get High-res Image Gene #78: '22q loss' versus Molecular Subtype #8: 'MRNASEQ_CHIERARCHICAL'

Methods & Data
Input
  • Copy number data file = transformed.cor.cli.txt

  • Molecular subtypes file = COADREAD-TP.transferedmergedcluster.txt

  • Number of patients = 600

  • Number of significantly arm-level cnvs = 79

  • Number of molecular subtypes = 12

  • Exclude genes that fewer than K tumors have mutations, K = 3

Fisher's exact test

For binary or multi-class clinical features (nominal or ordinal), two-tailed Fisher's exact tests (Fisher 1922) were used to estimate the P values using the 'fisher.test' function in R

Q value calculation

For multiple hypothesis correction, Q value is the False Discovery Rate (FDR) analogue of the P value (Benjamini and Hochberg 1995), defined as the minimum FDR at which the test may be called significant. We used the 'Benjamini and Hochberg' method of 'p.adjust' function in R to convert P values into Q values.

Download Results

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.

References
[1] Fisher, R.A., On the interpretation of chi-square from contingency tables, and the calculation of P, Journal of the Royal Statistical Society 85(1):87-94 (1922)
[2] Benjamini and Hochberg, Controlling the false discovery rate: a practical and powerful approach to multiple testing, Journal of the Royal Statistical Society Series B 59:289-300 (1995)