Correlation between copy number variations of arm-level result and selected clinical features
Head and Neck Squamous Cell Carcinoma (Primary solid tumor)
16 April 2014  |  analyses__2014_04_16
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 selected clinical features. Broad Institute of MIT and Harvard. doi:10.7908/C1708025
Overview
Introduction

This pipeline computes the correlation between significant arm-level copy number variations (cnvs) and selected clinical features.

Summary

Testing the association between copy number variation 80 arm-level events and 12 clinical features across 404 patients, one significant finding detected with Q value < 0.25.

  • 18p gain cnv correlated to 'GENDER'.

Results
Overview of the results

Table 1.  Get Full Table Overview of the association between significant copy number variation of 80 arm-level events and 12 clinical features. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, one significant finding detected.

Clinical
Features
Time
to
Death
AGE NEOPLASM
DISEASESTAGE
PATHOLOGY
T
STAGE
PATHOLOGY
N
STAGE
PATHOLOGY
M
STAGE
GENDER HISTOLOGICAL
TYPE
RADIATIONS
RADIATION
REGIMENINDICATION
NUMBERPACKYEARSSMOKED YEAROFTOBACCOSMOKINGONSET NUMBER
OF
LYMPH
NODES
nCNV (%) nWild-Type logrank test t-test Chi-square test Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test t-test t-test t-test
18p gain 92 (23%) 312 0.369
(1.00)
0.0084
(1.00)
0.195
(1.00)
0.113
(1.00)
0.0597
(1.00)
0.342
(1.00)
0.00012
(0.116)
0.493
(1.00)
0.654
(1.00)
0.186
(1.00)
0.408
(1.00)
0.496
(1.00)
1p gain 53 (13%) 351 0.356
(1.00)
0.206
(1.00)
0.844
(1.00)
0.803
(1.00)
0.319
(1.00)
0.0133
(1.00)
0.415
(1.00)
0.0258
(1.00)
0.853
(1.00)
0.693
(1.00)
0.186
(1.00)
0.749
(1.00)
1q gain 94 (23%) 310 0.954
(1.00)
0.0889
(1.00)
0.486
(1.00)
0.307
(1.00)
0.0881
(1.00)
0.219
(1.00)
0.696
(1.00)
0.0541
(1.00)
0.3
(1.00)
1
(1.00)
0.116
(1.00)
0.329
(1.00)
2p gain 72 (18%) 332 0.602
(1.00)
0.273
(1.00)
0.966
(1.00)
0.369
(1.00)
0.483
(1.00)
0.433
(1.00)
0.062
(1.00)
0.668
(1.00)
0.745
(1.00)
0.0436
(1.00)
0.335
(1.00)
0.471
(1.00)
2q gain 57 (14%) 347 0.825
(1.00)
0.723
(1.00)
0.685
(1.00)
0.666
(1.00)
0.19
(1.00)
0.244
(1.00)
0.344
(1.00)
0.657
(1.00)
0.367
(1.00)
0.237
(1.00)
0.353
(1.00)
0.429
(1.00)
3p gain 67 (17%) 337 0.722
(1.00)
0.326
(1.00)
0.98
(1.00)
0.481
(1.00)
0.816
(1.00)
0.32
(1.00)
0.378
(1.00)
1
(1.00)
0.504
(1.00)
0.881
(1.00)
0.0704
(1.00)
0.463
(1.00)
3q gain 205 (51%) 199 0.684
(1.00)
0.178
(1.00)
0.679
(1.00)
0.773
(1.00)
0.0653
(1.00)
0.718
(1.00)
0.0989
(1.00)
0.84
(1.00)
0.103
(1.00)
0.496
(1.00)
0.176
(1.00)
0.0162
(1.00)
4p gain 34 (8%) 370 0.891
(1.00)
0.022
(1.00)
0.546
(1.00)
0.279
(1.00)
0.812
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.505
(1.00)
0.359
(1.00)
0.244
(1.00)
0.118
(1.00)
4q gain 29 (7%) 375 0.283
(1.00)
0.259
(1.00)
0.035
(1.00)
0.599
(1.00)
0.0702
(1.00)
1
(1.00)
1
(1.00)
0.409
(1.00)
0.233
(1.00)
0.53
(1.00)
0.647
(1.00)
0.686
(1.00)
5p gain 155 (38%) 249 0.655
(1.00)
0.0953
(1.00)
0.338
(1.00)
0.681
(1.00)
0.253
(1.00)
0.269
(1.00)
0.0557
(1.00)
0.513
(1.00)
0.0285
(1.00)
0.975
(1.00)
0.849
(1.00)
0.9
(1.00)
5q gain 51 (13%) 353 0.872
(1.00)
0.21
(1.00)
0.366
(1.00)
0.546
(1.00)
0.504
(1.00)
0.102
(1.00)
0.139
(1.00)
0.152
(1.00)
0.0869
(1.00)
0.186
(1.00)
0.686
(1.00)
0.692
(1.00)
6p gain 62 (15%) 342 0.687
(1.00)
0.169
(1.00)
0.951
(1.00)
0.778
(1.00)
0.49
(1.00)
0.231
(1.00)
0.879
(1.00)
1
(1.00)
0.0361
(1.00)
0.128
(1.00)
0.0534
(1.00)
0.34
(1.00)
6q gain 46 (11%) 358 0.655
(1.00)
0.11
(1.00)
0.67
(1.00)
0.676
(1.00)
0.292
(1.00)
0.268
(1.00)
0.863
(1.00)
1
(1.00)
0.0168
(1.00)
0.0357
(1.00)
0.00646
(1.00)
0.45
(1.00)
7p gain 148 (37%) 256 0.029
(1.00)
0.28
(1.00)
0.663
(1.00)
0.528
(1.00)
0.598
(1.00)
0.261
(1.00)
0.648
(1.00)
0.0501
(1.00)
0.604
(1.00)
0.399
(1.00)
0.165
(1.00)
0.993
(1.00)
7q gain 101 (25%) 303 0.173
(1.00)
0.265
(1.00)
0.851
(1.00)
0.867
(1.00)
0.638
(1.00)
0.129
(1.00)
0.703
(1.00)
0.113
(1.00)
0.563
(1.00)
0.372
(1.00)
0.73
(1.00)
0.966
(1.00)
8p gain 113 (28%) 291 0.587
(1.00)
0.345
(1.00)
0.986
(1.00)
0.721
(1.00)
0.916
(1.00)
1
(1.00)
0.0859
(1.00)
0.0202
(1.00)
0.406
(1.00)
0.796
(1.00)
0.757
(1.00)
0.956
(1.00)
8q gain 235 (58%) 169 0.349
(1.00)
0.62
(1.00)
0.374
(1.00)
0.805
(1.00)
0.337
(1.00)
0.276
(1.00)
0.504
(1.00)
1
(1.00)
0.801
(1.00)
0.777
(1.00)
0.116
(1.00)
0.523
(1.00)
9p gain 82 (20%) 322 0.651
(1.00)
0.248
(1.00)
0.142
(1.00)
0.656
(1.00)
0.0856
(1.00)
0.825
(1.00)
0.1
(1.00)
1
(1.00)
0.159
(1.00)
0.0048
(1.00)
0.35
(1.00)
0.526
(1.00)
9q gain 109 (27%) 295 0.558
(1.00)
0.0677
(1.00)
0.1
(1.00)
0.203
(1.00)
0.251
(1.00)
0.832
(1.00)
0.902
(1.00)
0.754
(1.00)
0.573
(1.00)
0.0889
(1.00)
0.956
(1.00)
0.738
(1.00)
10p gain 27 (7%) 377 0.0858
(1.00)
0.559
(1.00)
0.947
(1.00)
0.889
(1.00)
0.763
(1.00)
0.581
(1.00)
0.515
(1.00)
0.386
(1.00)
0.801
(1.00)
0.452
(1.00)
0.756
(1.00)
0.0236
(1.00)
10q gain 26 (6%) 378 0.342
(1.00)
0.942
(1.00)
0.675
(1.00)
0.784
(1.00)
0.977
(1.00)
1
(1.00)
0.656
(1.00)
1
(1.00)
0.313
(1.00)
0.439
(1.00)
0.482
(1.00)
0.133
(1.00)
11p gain 54 (13%) 350 0.837
(1.00)
0.374
(1.00)
0.59
(1.00)
0.873
(1.00)
0.0952
(1.00)
0.148
(1.00)
0.63
(1.00)
1
(1.00)
0.583
(1.00)
0.0272
(1.00)
0.52
(1.00)
0.847
(1.00)
11q gain 56 (14%) 348 0.46
(1.00)
0.563
(1.00)
0.481
(1.00)
0.6
(1.00)
0.219
(1.00)
0.461
(1.00)
0.265
(1.00)
1
(1.00)
0.587
(1.00)
0.025
(1.00)
0.267
(1.00)
0.98
(1.00)
12p gain 114 (28%) 290 0.403
(1.00)
0.65
(1.00)
0.914
(1.00)
0.95
(1.00)
0.878
(1.00)
0.679
(1.00)
0.543
(1.00)
0.419
(1.00)
0.889
(1.00)
0.11
(1.00)
0.642
(1.00)
0.871
(1.00)
12q gain 68 (17%) 336 0.809
(1.00)
0.323
(1.00)
0.435
(1.00)
0.768
(1.00)
0.365
(1.00)
1
(1.00)
0.884
(1.00)
0.663
(1.00)
0.0296
(1.00)
0.143
(1.00)
0.402
(1.00)
0.0445
(1.00)
13q gain 48 (12%) 356 0.786
(1.00)
0.0742
(1.00)
0.565
(1.00)
0.612
(1.00)
0.874
(1.00)
0.784
(1.00)
1
(1.00)
1
(1.00)
0.0821
(1.00)
0.662
(1.00)
0.0408
(1.00)
0.554
(1.00)
14q gain 120 (30%) 284 0.367
(1.00)
0.833
(1.00)
0.884
(1.00)
0.939
(1.00)
0.97
(1.00)
0.84
(1.00)
0.281
(1.00)
0.239
(1.00)
0.583
(1.00)
0.463
(1.00)
0.77
(1.00)
0.464
(1.00)
15q gain 62 (15%) 342 0.444
(1.00)
0.96
(1.00)
0.94
(1.00)
0.0567
(1.00)
0.729
(1.00)
0.803
(1.00)
0.761
(1.00)
0.658
(1.00)
0.862
(1.00)
0.691
(1.00)
0.431
(1.00)
0.221
(1.00)
16p gain 81 (20%) 323 0.32
(1.00)
0.0859
(1.00)
0.444
(1.00)
0.997
(1.00)
0.461
(1.00)
0.794
(1.00)
0.681
(1.00)
0.684
(1.00)
0.754
(1.00)
0.566
(1.00)
0.49
(1.00)
0.0953
(1.00)
16q gain 85 (21%) 319 0.0545
(1.00)
0.0894
(1.00)
0.292
(1.00)
0.675
(1.00)
0.792
(1.00)
0.461
(1.00)
0.139
(1.00)
1
(1.00)
0.879
(1.00)
0.691
(1.00)
0.322
(1.00)
0.31
(1.00)
17p gain 51 (13%) 353 0.826
(1.00)
0.362
(1.00)
0.406
(1.00)
0.237
(1.00)
0.825
(1.00)
1
(1.00)
0.413
(1.00)
0.152
(1.00)
0.707
(1.00)
0.919
(1.00)
0.813
(1.00)
0.471
(1.00)
17q gain 67 (17%) 337 0.365
(1.00)
0.78
(1.00)
0.45
(1.00)
0.14
(1.00)
0.291
(1.00)
0.811
(1.00)
0.239
(1.00)
0.149
(1.00)
0.866
(1.00)
0.578
(1.00)
0.656
(1.00)
0.456
(1.00)
18q gain 36 (9%) 368 0.773
(1.00)
0.535
(1.00)
0.551
(1.00)
0.762
(1.00)
0.831
(1.00)
1
(1.00)
0.00075
(0.719)
1
(1.00)
1
(1.00)
0.412
(1.00)
0.558
(1.00)
0.835
(1.00)
19p gain 38 (9%) 366 0.104
(1.00)
0.237
(1.00)
0.466
(1.00)
0.192
(1.00)
0.375
(1.00)
0.141
(1.00)
0.347
(1.00)
1
(1.00)
1
(1.00)
0.516
(1.00)
0.938
(1.00)
0.0459
(1.00)
19q gain 56 (14%) 348 0.225
(1.00)
0.676
(1.00)
0.999
(1.00)
0.708
(1.00)
0.928
(1.00)
0.168
(1.00)
0.208
(1.00)
0.651
(1.00)
0.717
(1.00)
0.714
(1.00)
0.757
(1.00)
0.201
(1.00)
20p gain 148 (37%) 256 0.912
(1.00)
0.852
(1.00)
0.76
(1.00)
0.796
(1.00)
0.399
(1.00)
0.579
(1.00)
0.733
(1.00)
1
(1.00)
0.195
(1.00)
0.43
(1.00)
0.444
(1.00)
0.678
(1.00)
20q gain 156 (39%) 248 0.39
(1.00)
0.814
(1.00)
0.598
(1.00)
0.342
(1.00)
0.77
(1.00)
0.581
(1.00)
0.822
(1.00)
0.515
(1.00)
0.25
(1.00)
0.976
(1.00)
0.0745
(1.00)
0.202
(1.00)
21q gain 27 (7%) 377 0.96
(1.00)
0.914
(1.00)
0.0906
(1.00)
0.421
(1.00)
0.149
(1.00)
0.42
(1.00)
0.0455
(1.00)
0.00363
(1.00)
0.449
(1.00)
0.951
(1.00)
0.935
(1.00)
0.597
(1.00)
22q gain 88 (22%) 316 0.138
(1.00)
0.911
(1.00)
0.754
(1.00)
0.758
(1.00)
0.743
(1.00)
0.18
(1.00)
0.596
(1.00)
0.0933
(1.00)
0.447
(1.00)
0.132
(1.00)
0.277
(1.00)
0.534
(1.00)
xq gain 70 (17%) 334 0.383
(1.00)
0.132
(1.00)
0.217
(1.00)
0.0576
(1.00)
0.272
(1.00)
0.601
(1.00)
0.663
(1.00)
0.666
(1.00)
0.00805
(1.00)
0.187
(1.00)
0.48
(1.00)
0.382
(1.00)
1p loss 45 (11%) 359 0.483
(1.00)
0.0345
(1.00)
0.552
(1.00)
0.552
(1.00)
0.844
(1.00)
0.396
(1.00)
0.383
(1.00)
0.565
(1.00)
0.69
(1.00)
0.0189
(1.00)
0.949
(1.00)
0.883
(1.00)
1q loss 31 (8%) 373 0.475
(1.00)
0.49
(1.00)
0.755
(1.00)
0.322
(1.00)
0.878
(1.00)
1
(1.00)
0.838
(1.00)
1
(1.00)
1
(1.00)
0.425
(1.00)
0.604
(1.00)
0.0463
(1.00)
2p loss 27 (7%) 377 0.949
(1.00)
0.751
(1.00)
0.369
(1.00)
0.932
(1.00)
0.381
(1.00)
0.16
(1.00)
0.0135
(1.00)
1
(1.00)
0.131
(1.00)
0.236
(1.00)
0.908
(1.00)
0.00158
(1.00)
2q loss 34 (8%) 370 0.931
(1.00)
0.877
(1.00)
0.0488
(1.00)
0.331
(1.00)
0.11
(1.00)
1
(1.00)
0.00878
(1.00)
1
(1.00)
0.04
(1.00)
0.322
(1.00)
0.545
(1.00)
0.279
(1.00)
3p loss 234 (58%) 170 0.00247
(1.00)
0.665
(1.00)
0.416
(1.00)
0.0891
(1.00)
0.15
(1.00)
0.146
(1.00)
0.0453
(1.00)
0.0869
(1.00)
0.311
(1.00)
0.0882
(1.00)
0.452
(1.00)
0.037
(1.00)
3q loss 54 (13%) 350 0.00128
(1.00)
0.283
(1.00)
0.168
(1.00)
0.0602
(1.00)
0.27
(1.00)
0.232
(1.00)
0.332
(1.00)
1
(1.00)
0.713
(1.00)
0.131
(1.00)
0.971
(1.00)
0.00832
(1.00)
4p loss 153 (38%) 251 0.655
(1.00)
0.312
(1.00)
0.694
(1.00)
0.361
(1.00)
0.558
(1.00)
0.187
(1.00)
0.308
(1.00)
0.8
(1.00)
1
(1.00)
0.367
(1.00)
0.305
(1.00)
0.07
(1.00)
4q loss 116 (29%) 288 0.581
(1.00)
0.402
(1.00)
0.117
(1.00)
0.296
(1.00)
0.105
(1.00)
0.408
(1.00)
0.808
(1.00)
0.77
(1.00)
0.0959
(1.00)
0.806
(1.00)
0.88
(1.00)
0.137
(1.00)
5p loss 39 (10%) 365 0.983
(1.00)
0.306
(1.00)
0.781
(1.00)
0.651
(1.00)
0.388
(1.00)
0.526
(1.00)
0.577
(1.00)
1
(1.00)
0.0553
(1.00)
0.99
(1.00)
0.742
(1.00)
0.321
(1.00)
5q loss 129 (32%) 275 0.546
(1.00)
0.403
(1.00)
0.404
(1.00)
0.0331
(1.00)
0.394
(1.00)
0.844
(1.00)
0.288
(1.00)
0.775
(1.00)
1
(1.00)
0.0424
(1.00)
0.672
(1.00)
0.419
(1.00)
6p loss 55 (14%) 349 0.293
(1.00)
0.606
(1.00)
0.421
(1.00)
0.604
(1.00)
0.601
(1.00)
0.579
(1.00)
0.263
(1.00)
1
(1.00)
0.714
(1.00)
0.342
(1.00)
0.444
(1.00)
0.196
(1.00)
6q loss 56 (14%) 348 0.325
(1.00)
0.593
(1.00)
0.75
(1.00)
0.59
(1.00)
0.979
(1.00)
0.784
(1.00)
0.0569
(1.00)
0.651
(1.00)
0.717
(1.00)
0.924
(1.00)
0.635
(1.00)
0.951
(1.00)
7p loss 19 (5%) 385 0.779
(1.00)
0.898
(1.00)
0.652
(1.00)
0.847
(1.00)
0.173
(1.00)
0.42
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.228
(1.00)
0.248
(1.00)
0.906
(1.00)
7q loss 36 (9%) 368 0.829
(1.00)
0.0956
(1.00)
0.722
(1.00)
0.289
(1.00)
0.701
(1.00)
0.768
(1.00)
0.847
(1.00)
0.482
(1.00)
0.662
(1.00)
0.676
(1.00)
0.0459
(1.00)
0.238
(1.00)
8p loss 148 (37%) 256 0.0619
(1.00)
0.81
(1.00)
0.537
(1.00)
0.446
(1.00)
0.328
(1.00)
1
(1.00)
0.212
(1.00)
0.129
(1.00)
1
(1.00)
0.273
(1.00)
0.0874
(1.00)
0.319
(1.00)
8q loss 25 (6%) 379 0.428
(1.00)
0.629
(1.00)
0.854
(1.00)
0.199
(1.00)
0.719
(1.00)
0.748
(1.00)
0.371
(1.00)
1
(1.00)
0.602
(1.00)
0.00535
(1.00)
0.0718
(1.00)
0.739
(1.00)
9p loss 138 (34%) 266 0.09
(1.00)
0.984
(1.00)
0.765
(1.00)
0.654
(1.00)
0.615
(1.00)
0.691
(1.00)
0.299
(1.00)
0.129
(1.00)
0.793
(1.00)
0.00488
(1.00)
0.886
(1.00)
0.883
(1.00)
9q loss 63 (16%) 341 0.328
(1.00)
0.983
(1.00)
0.788
(1.00)
0.315
(1.00)
0.77
(1.00)
0.619
(1.00)
1
(1.00)
0.659
(1.00)
0.604
(1.00)
0.22
(1.00)
0.825
(1.00)
0.432
(1.00)
10p loss 125 (31%) 279 0.0244
(1.00)
0.575
(1.00)
0.424
(1.00)
0.18
(1.00)
0.384
(1.00)
0.563
(1.00)
0.191
(1.00)
0.243
(1.00)
0.344
(1.00)
0.85
(1.00)
0.864
(1.00)
0.429
(1.00)
10q loss 84 (21%) 320 0.37
(1.00)
0.281
(1.00)
0.295
(1.00)
0.668
(1.00)
0.183
(1.00)
0.662
(1.00)
0.105
(1.00)
0.486
(1.00)
0.166
(1.00)
0.591
(1.00)
0.0774
(1.00)
0.501
(1.00)
11p loss 105 (26%) 299 0.0402
(1.00)
0.798
(1.00)
0.0942
(1.00)
0.914
(1.00)
0.013
(1.00)
0.832
(1.00)
0.212
(1.00)
0.743
(1.00)
0.67
(1.00)
0.239
(1.00)
0.738
(1.00)
0.152
(1.00)
11q loss 129 (32%) 275 0.159
(1.00)
0.202
(1.00)
0.382
(1.00)
0.936
(1.00)
0.106
(1.00)
0.241
(1.00)
0.00212
(1.00)
1
(1.00)
0.139
(1.00)
0.279
(1.00)
0.344
(1.00)
0.306
(1.00)
12p loss 27 (7%) 377 0.0143
(1.00)
0.0751
(1.00)
0.69
(1.00)
0.268
(1.00)
0.581
(1.00)
1
(1.00)
0.378
(1.00)
1
(1.00)
0.801
(1.00)
0.148
(1.00)
0.134
(1.00)
0.63
(1.00)
12q loss 23 (6%) 381 0.545
(1.00)
0.361
(1.00)
0.662
(1.00)
0.0732
(1.00)
0.929
(1.00)
0.694
(1.00)
1
(1.00)
1
(1.00)
0.59
(1.00)
0.678
(1.00)
0.512
(1.00)
0.771
(1.00)
13q loss 127 (31%) 277 0.628
(1.00)
0.361
(1.00)
0.199
(1.00)
0.253
(1.00)
0.455
(1.00)
0.844
(1.00)
0.636
(1.00)
0.336
(1.00)
0.893
(1.00)
0.125
(1.00)
0.304
(1.00)
0.369
(1.00)
14q loss 36 (9%) 368 0.206
(1.00)
0.889
(1.00)
0.45
(1.00)
0.176
(1.00)
0.894
(1.00)
1
(1.00)
0.248
(1.00)
1
(1.00)
0.382
(1.00)
0.508
(1.00)
0.963
(1.00)
0.005
(1.00)
15q loss 74 (18%) 330 0.0842
(1.00)
0.0942
(1.00)
0.856
(1.00)
0.338
(1.00)
0.429
(1.00)
0.212
(1.00)
0.887
(1.00)
0.173
(1.00)
0.259
(1.00)
0.676
(1.00)
0.479
(1.00)
0.383
(1.00)
16p loss 47 (12%) 357 0.0817
(1.00)
0.0165
(1.00)
0.802
(1.00)
0.295
(1.00)
0.132
(1.00)
0.295
(1.00)
0.609
(1.00)
0.582
(1.00)
0.119
(1.00)
0.917
(1.00)
0.159
(1.00)
0.893
(1.00)
16q loss 59 (15%) 345 0.425
(1.00)
0.0657
(1.00)
0.442
(1.00)
0.655
(1.00)
0.11
(1.00)
0.279
(1.00)
0.16
(1.00)
0.329
(1.00)
0.477
(1.00)
0.665
(1.00)
0.184
(1.00)
0.83
(1.00)
17p loss 90 (22%) 314 0.363
(1.00)
0.337
(1.00)
0.401
(1.00)
0.831
(1.00)
0.872
(1.00)
0.398
(1.00)
0.51
(1.00)
1
(1.00)
0.654
(1.00)
0.69
(1.00)
0.525
(1.00)
0.508
(1.00)
17q loss 30 (7%) 374 0.879
(1.00)
0.856
(1.00)
0.434
(1.00)
0.5
(1.00)
0.346
(1.00)
0.0792
(1.00)
1
(1.00)
0.42
(1.00)
0.338
(1.00)
0.747
(1.00)
0.749
(1.00)
0.0915
(1.00)
18p loss 83 (21%) 321 0.204
(1.00)
0.472
(1.00)
0.883
(1.00)
0.995
(1.00)
0.224
(1.00)
1
(1.00)
0.415
(1.00)
0.289
(1.00)
0.877
(1.00)
0.829
(1.00)
0.337
(1.00)
0.88
(1.00)
18q loss 171 (42%) 233 0.088
(1.00)
0.0798
(1.00)
0.946
(1.00)
0.811
(1.00)
0.486
(1.00)
0.464
(1.00)
0.183
(1.00)
0.223
(1.00)
0.528
(1.00)
0.141
(1.00)
0.00189
(1.00)
0.251
(1.00)
19p loss 77 (19%) 327 0.00212
(1.00)
0.257
(1.00)
0.213
(1.00)
0.292
(1.00)
0.273
(1.00)
0.0997
(1.00)
0.266
(1.00)
0.676
(1.00)
0.205
(1.00)
0.376
(1.00)
0.0198
(1.00)
0.598
(1.00)
19q loss 65 (16%) 339 0.0921
(1.00)
0.106
(1.00)
0.0698
(1.00)
0.0788
(1.00)
0.461
(1.00)
0.31
(1.00)
0.458
(1.00)
1
(1.00)
0.494
(1.00)
0.949
(1.00)
0.0459
(1.00)
0.861
(1.00)
20p loss 42 (10%) 362 0.996
(1.00)
0.931
(1.00)
0.813
(1.00)
0.987
(1.00)
0.407
(1.00)
0.232
(1.00)
0.857
(1.00)
1
(1.00)
0.686
(1.00)
0.312
(1.00)
0.542
(1.00)
0.871
(1.00)
20q loss 25 (6%) 379 0.254
(1.00)
0.177
(1.00)
0.438
(1.00)
0.72
(1.00)
0.726
(1.00)
1
(1.00)
0.656
(1.00)
0.363
(1.00)
0.798
(1.00)
0.0821
(1.00)
0.0078
(1.00)
0.688
(1.00)
21q loss 153 (38%) 251 0.304
(1.00)
0.536
(1.00)
0.809
(1.00)
0.141
(1.00)
0.461
(1.00)
0.069
(1.00)
0.734
(1.00)
0.636
(1.00)
0.518
(1.00)
0.327
(1.00)
0.239
(1.00)
0.674
(1.00)
22q loss 62 (15%) 342 0.899
(1.00)
0.954
(1.00)
0.27
(1.00)
0.383
(1.00)
0.397
(1.00)
1
(1.00)
0.223
(1.00)
0.658
(1.00)
0.0827
(1.00)
0.829
(1.00)
0.251
(1.00)
0.00417
(1.00)
xq loss 63 (16%) 341 0.225
(1.00)
0.102
(1.00)
0.504
(1.00)
0.067
(1.00)
0.485
(1.00)
0.794
(1.00)
0.172
(1.00)
0.357
(1.00)
0.732
(1.00)
0.162
(1.00)
0.935
(1.00)
0.21
(1.00)
'18p gain' versus 'GENDER'

P value = 0.00012 (Fisher's exact test), Q value = 0.12

Table S1.  Gene #32: '18p gain' versus Clinical Feature #7: 'GENDER'

nPatients FEMALE MALE
ALL 116 288
18P GAIN MUTATED 12 80
18P GAIN WILD-TYPE 104 208

Figure S1.  Get High-res Image Gene #32: '18p gain' versus Clinical Feature #7: 'GENDER'

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

  • Clinical data file = HNSC-TP.merged_data.txt

  • Number of patients = 404

  • Number of significantly arm-level cnvs = 80

  • Number of selected clinical features = 12

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

Survival analysis

For survival clinical features, the Kaplan-Meier survival curves of tumors with and without gene mutations were plotted and the statistical significance P values were estimated by logrank test (Bland and Altman 2004) using the 'survdiff' function in R

Student's t-test analysis

For continuous numerical clinical features, two-tailed Student's t test with unequal variance (Lehmann and Romano 2005) was applied to compare the clinical values between tumors with and without gene mutations using 't.test' function in R

Chi-square test

For multi-class clinical features (nominal or ordinal), Chi-square tests (Greenwood and Nikulin 1996) were used to estimate the P values using the 'chisq.test' function in R

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] Bland and Altman, Statistics notes: The logrank test, BMJ 328(7447):1073 (2004)
[2] Lehmann and Romano, Testing Statistical Hypotheses (3E ed.), New York: Springer. ISBN 0387988645 (2005)
[3] Greenwood and Nikulin, A guide to chi-squared testing, Wiley, New York. ISBN 047155779X (1996)
[4] 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)
[5] 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)