Correlation between copy number variations of arm-level result and selected clinical features
Head and Neck Squamous Cell Carcinoma (Primary solid tumor)
15 January 2014  |  analyses__2014_01_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 selected clinical features. Broad Institute of MIT and Harvard. doi:10.7908/C17P8WTP
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 373 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 84 (23%) 289 0.282
(1.00)
0.0328
(1.00)
0.312
(1.00)
0.279
(1.00)
0.133
(1.00)
1
(1.00)
6.09e-05
(0.0585)
0.673
(1.00)
0.645
(1.00)
0.122
(1.00)
0.634
(1.00)
0.44
(1.00)
1p gain 47 (13%) 326 0.379
(1.00)
0.167
(1.00)
0.414
(1.00)
0.733
(1.00)
0.316
(1.00)
0.13
(1.00)
0.392
(1.00)
0.0579
(1.00)
0.845
(1.00)
0.878
(1.00)
0.612
(1.00)
0.601
(1.00)
1q gain 86 (23%) 287 0.974
(1.00)
0.11
(1.00)
0.591
(1.00)
0.26
(1.00)
0.0588
(1.00)
0.119
(1.00)
0.686
(1.00)
0.261
(1.00)
0.359
(1.00)
0.693
(1.00)
0.181
(1.00)
0.308
(1.00)
2p gain 71 (19%) 302 0.557
(1.00)
0.35
(1.00)
0.863
(1.00)
0.372
(1.00)
0.303
(1.00)
0.391
(1.00)
0.0796
(1.00)
1
(1.00)
0.869
(1.00)
0.0377
(1.00)
0.282
(1.00)
0.836
(1.00)
2q gain 56 (15%) 317 0.425
(1.00)
0.723
(1.00)
0.612
(1.00)
0.657
(1.00)
0.13
(1.00)
0.349
(1.00)
0.261
(1.00)
1
(1.00)
0.719
(1.00)
0.137
(1.00)
0.46
(1.00)
0.745
(1.00)
3p gain 62 (17%) 311 0.712
(1.00)
0.331
(1.00)
0.989
(1.00)
0.234
(1.00)
0.587
(1.00)
0.774
(1.00)
0.444
(1.00)
0.599
(1.00)
0.383
(1.00)
0.772
(1.00)
0.136
(1.00)
0.458
(1.00)
3q gain 190 (51%) 183 0.82
(1.00)
0.142
(1.00)
0.293
(1.00)
0.667
(1.00)
0.0571
(1.00)
0.669
(1.00)
0.0877
(1.00)
0.808
(1.00)
0.0192
(1.00)
0.561
(1.00)
0.26
(1.00)
0.0103
(1.00)
4p gain 31 (8%) 342 0.599
(1.00)
0.0132
(1.00)
0.387
(1.00)
0.269
(1.00)
0.557
(1.00)
0.336
(1.00)
1
(1.00)
1
(1.00)
0.643
(1.00)
0.54
(1.00)
0.238
(1.00)
0.111
(1.00)
4q gain 26 (7%) 347 0.408
(1.00)
0.723
(1.00)
0.137
(1.00)
0.681
(1.00)
0.0799
(1.00)
0.333
(1.00)
1
(1.00)
1
(1.00)
0.13
(1.00)
0.68
(1.00)
0.64
(1.00)
0.764
(1.00)
5p gain 144 (39%) 229 0.864
(1.00)
0.158
(1.00)
0.256
(1.00)
0.886
(1.00)
0.141
(1.00)
1
(1.00)
0.0599
(1.00)
0.572
(1.00)
0.016
(1.00)
0.577
(1.00)
0.748
(1.00)
0.831
(1.00)
5q gain 52 (14%) 321 0.573
(1.00)
0.286
(1.00)
0.331
(1.00)
0.877
(1.00)
0.528
(1.00)
0.369
(1.00)
0.136
(1.00)
0.222
(1.00)
0.0229
(1.00)
0.187
(1.00)
0.864
(1.00)
0.379
(1.00)
6p gain 54 (14%) 319 0.506
(1.00)
0.18
(1.00)
0.975
(1.00)
0.912
(1.00)
0.685
(1.00)
0.55
(1.00)
0.745
(1.00)
1
(1.00)
0.097
(1.00)
0.127
(1.00)
0.033
(1.00)
0.482
(1.00)
6q gain 41 (11%) 332 0.73
(1.00)
0.148
(1.00)
0.201
(1.00)
0.718
(1.00)
0.267
(1.00)
0.478
(1.00)
0.856
(1.00)
1
(1.00)
0.0366
(1.00)
0.0129
(1.00)
0.00472
(1.00)
0.614
(1.00)
7p gain 138 (37%) 235 0.0464
(1.00)
0.436
(1.00)
0.257
(1.00)
0.599
(1.00)
0.201
(1.00)
0.367
(1.00)
0.906
(1.00)
0.123
(1.00)
0.688
(1.00)
0.475
(1.00)
0.106
(1.00)
0.94
(1.00)
7q gain 96 (26%) 277 0.262
(1.00)
0.315
(1.00)
0.675
(1.00)
0.633
(1.00)
0.192
(1.00)
0.0674
(1.00)
0.897
(1.00)
0.189
(1.00)
1
(1.00)
0.477
(1.00)
0.993
(1.00)
0.851
(1.00)
8p gain 104 (28%) 269 0.342
(1.00)
0.908
(1.00)
0.998
(1.00)
0.637
(1.00)
0.759
(1.00)
0.804
(1.00)
0.0296
(1.00)
0.0227
(1.00)
0.385
(1.00)
0.954
(1.00)
0.568
(1.00)
0.939
(1.00)
8q gain 220 (59%) 153 0.75
(1.00)
0.205
(1.00)
0.282
(1.00)
0.888
(1.00)
0.22
(1.00)
0.662
(1.00)
0.727
(1.00)
0.791
(1.00)
0.693
(1.00)
0.51
(1.00)
0.0886
(1.00)
0.55
(1.00)
9p gain 71 (19%) 302 0.433
(1.00)
0.185
(1.00)
0.481
(1.00)
0.842
(1.00)
0.45
(1.00)
1
(1.00)
0.0294
(1.00)
1
(1.00)
0.408
(1.00)
0.024
(1.00)
0.383
(1.00)
0.371
(1.00)
9q gain 94 (25%) 279 0.694
(1.00)
0.163
(1.00)
0.352
(1.00)
0.0774
(1.00)
0.808
(1.00)
0.779
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.118
(1.00)
0.9
(1.00)
0.454
(1.00)
10p gain 26 (7%) 347 0.0987
(1.00)
0.604
(1.00)
0.953
(1.00)
0.938
(1.00)
0.567
(1.00)
0.563
(1.00)
0.655
(1.00)
0.305
(1.00)
1
(1.00)
0.473
(1.00)
0.823
(1.00)
0.0188
(1.00)
10q gain 24 (6%) 349 0.254
(1.00)
0.602
(1.00)
0.683
(1.00)
0.87
(1.00)
0.888
(1.00)
1
(1.00)
0.817
(1.00)
1
(1.00)
0.595
(1.00)
0.405
(1.00)
0.349
(1.00)
0.13
(1.00)
11p gain 45 (12%) 328 0.535
(1.00)
0.131
(1.00)
0.497
(1.00)
0.738
(1.00)
0.113
(1.00)
0.0685
(1.00)
0.726
(1.00)
1
(1.00)
0.691
(1.00)
0.101
(1.00)
0.805
(1.00)
0.206
(1.00)
11q gain 50 (13%) 323 0.541
(1.00)
0.227
(1.00)
0.489
(1.00)
0.768
(1.00)
0.29
(1.00)
0.557
(1.00)
0.402
(1.00)
1
(1.00)
0.342
(1.00)
0.139
(1.00)
0.509
(1.00)
0.0637
(1.00)
12p gain 107 (29%) 266 0.419
(1.00)
0.768
(1.00)
0.872
(1.00)
0.945
(1.00)
0.787
(1.00)
0.628
(1.00)
0.378
(1.00)
0.702
(1.00)
0.886
(1.00)
0.124
(1.00)
0.58
(1.00)
0.781
(1.00)
12q gain 65 (17%) 308 0.885
(1.00)
0.217
(1.00)
0.47
(1.00)
0.774
(1.00)
0.473
(1.00)
1
(1.00)
0.881
(1.00)
1
(1.00)
0.0883
(1.00)
0.152
(1.00)
0.438
(1.00)
0.047
(1.00)
13q gain 45 (12%) 328 0.854
(1.00)
0.0671
(1.00)
0.514
(1.00)
0.6
(1.00)
0.686
(1.00)
0.754
(1.00)
0.861
(1.00)
1
(1.00)
0.113
(1.00)
0.769
(1.00)
0.0357
(1.00)
0.523
(1.00)
14q gain 108 (29%) 265 0.32
(1.00)
0.878
(1.00)
0.634
(1.00)
0.97
(1.00)
0.916
(1.00)
0.141
(1.00)
0.451
(1.00)
0.522
(1.00)
0.775
(1.00)
0.656
(1.00)
0.503
(1.00)
0.365
(1.00)
15q gain 61 (16%) 312 0.387
(1.00)
0.88
(1.00)
0.791
(1.00)
0.0657
(1.00)
0.602
(1.00)
0.27
(1.00)
0.645
(1.00)
1
(1.00)
0.861
(1.00)
0.599
(1.00)
0.423
(1.00)
0.139
(1.00)
16p gain 76 (20%) 297 0.7
(1.00)
0.033
(1.00)
0.245
(1.00)
1
(1.00)
0.315
(1.00)
0.759
(1.00)
0.777
(1.00)
0.67
(1.00)
0.749
(1.00)
0.424
(1.00)
0.208
(1.00)
0.0817
(1.00)
16q gain 82 (22%) 291 0.124
(1.00)
0.0755
(1.00)
0.24
(1.00)
0.68
(1.00)
0.647
(1.00)
0.396
(1.00)
0.131
(1.00)
1
(1.00)
1
(1.00)
0.635
(1.00)
0.271
(1.00)
0.244
(1.00)
17p gain 49 (13%) 324 0.802
(1.00)
0.343
(1.00)
0.34
(1.00)
0.304
(1.00)
0.698
(1.00)
0.754
(1.00)
0.397
(1.00)
0.206
(1.00)
0.7
(1.00)
0.862
(1.00)
0.768
(1.00)
0.526
(1.00)
17q gain 62 (17%) 311 0.378
(1.00)
0.805
(1.00)
0.509
(1.00)
0.188
(1.00)
0.448
(1.00)
0.566
(1.00)
0.167
(1.00)
0.179
(1.00)
1
(1.00)
0.595
(1.00)
0.562
(1.00)
0.461
(1.00)
18q gain 34 (9%) 339 0.803
(1.00)
0.576
(1.00)
0.586
(1.00)
0.751
(1.00)
0.875
(1.00)
1
(1.00)
0.00115
(1.00)
1
(1.00)
1
(1.00)
0.414
(1.00)
0.318
(1.00)
0.784
(1.00)
19p gain 35 (9%) 338 0.0694
(1.00)
0.23
(1.00)
0.617
(1.00)
0.234
(1.00)
0.395
(1.00)
0.298
(1.00)
0.326
(1.00)
1
(1.00)
1
(1.00)
0.259
(1.00)
0.819
(1.00)
0.0454
(1.00)
19q gain 51 (14%) 322 0.106
(1.00)
0.543
(1.00)
0.984
(1.00)
0.562
(1.00)
0.738
(1.00)
0.349
(1.00)
0.136
(1.00)
0.523
(1.00)
1
(1.00)
0.902
(1.00)
0.519
(1.00)
0.183
(1.00)
20p gain 134 (36%) 239 0.798
(1.00)
0.875
(1.00)
0.351
(1.00)
0.645
(1.00)
0.258
(1.00)
0.372
(1.00)
0.722
(1.00)
1
(1.00)
0.104
(1.00)
0.181
(1.00)
0.712
(1.00)
0.752
(1.00)
20q gain 144 (39%) 229 0.655
(1.00)
0.78
(1.00)
0.185
(1.00)
0.301
(1.00)
0.27
(1.00)
0.381
(1.00)
0.907
(1.00)
1
(1.00)
0.109
(1.00)
0.65
(1.00)
0.185
(1.00)
0.419
(1.00)
21q gain 25 (7%) 348 0.959
(1.00)
0.801
(1.00)
0.0702
(1.00)
0.427
(1.00)
0.225
(1.00)
0.592
(1.00)
0.0668
(1.00)
0.0167
(1.00)
1
(1.00)
0.948
(1.00)
0.733
(1.00)
0.632
(1.00)
22q gain 82 (22%) 291 0.261
(1.00)
0.891
(1.00)
0.904
(1.00)
0.845
(1.00)
0.679
(1.00)
0.603
(1.00)
0.407
(1.00)
0.155
(1.00)
0.433
(1.00)
0.281
(1.00)
0.482
(1.00)
0.604
(1.00)
xq gain 64 (17%) 309 0.349
(1.00)
0.0269
(1.00)
0.166
(1.00)
0.126
(1.00)
0.0872
(1.00)
0.754
(1.00)
0.225
(1.00)
1
(1.00)
0.00895
(1.00)
0.202
(1.00)
0.209
(1.00)
0.349
(1.00)
1p loss 41 (11%) 332 0.265
(1.00)
0.0523
(1.00)
0.69
(1.00)
0.654
(1.00)
0.871
(1.00)
0.289
(1.00)
0.364
(1.00)
1
(1.00)
0.836
(1.00)
0.0186
(1.00)
0.845
(1.00)
0.901
(1.00)
1q loss 27 (7%) 346 0.409
(1.00)
0.564
(1.00)
0.683
(1.00)
0.422
(1.00)
0.729
(1.00)
0.678
(1.00)
0.828
(1.00)
1
(1.00)
1
(1.00)
0.463
(1.00)
0.438
(1.00)
0.0924
(1.00)
2p loss 24 (6%) 349 0.978
(1.00)
0.681
(1.00)
0.285
(1.00)
0.964
(1.00)
0.177
(1.00)
0.672
(1.00)
0.0637
(1.00)
1
(1.00)
0.189
(1.00)
0.34
(1.00)
0.888
(1.00)
0.00382
(1.00)
2q loss 32 (9%) 341 0.966
(1.00)
0.62
(1.00)
0.0269
(1.00)
0.297
(1.00)
0.0432
(1.00)
1
(1.00)
0.0238
(1.00)
1
(1.00)
0.0602
(1.00)
0.337
(1.00)
0.526
(1.00)
0.303
(1.00)
3p loss 218 (58%) 155 0.00745
(1.00)
0.842
(1.00)
0.236
(1.00)
0.0148
(1.00)
0.158
(1.00)
0.279
(1.00)
0.0494
(1.00)
0.0291
(1.00)
0.512
(1.00)
0.145
(1.00)
0.527
(1.00)
0.0502
(1.00)
3q loss 49 (13%) 324 0.00901
(1.00)
0.501
(1.00)
0.268
(1.00)
0.256
(1.00)
0.566
(1.00)
0.456
(1.00)
0.397
(1.00)
1
(1.00)
0.181
(1.00)
0.225
(1.00)
0.88
(1.00)
0.000652
(0.624)
4p loss 146 (39%) 227 0.55
(1.00)
0.218
(1.00)
0.73
(1.00)
0.198
(1.00)
0.745
(1.00)
0.117
(1.00)
0.412
(1.00)
1
(1.00)
0.69
(1.00)
0.368
(1.00)
0.354
(1.00)
0.0862
(1.00)
4q loss 112 (30%) 261 0.698
(1.00)
0.296
(1.00)
0.213
(1.00)
0.145
(1.00)
0.277
(1.00)
0.331
(1.00)
1
(1.00)
0.524
(1.00)
0.202
(1.00)
0.916
(1.00)
0.908
(1.00)
0.161
(1.00)
5p loss 35 (9%) 338 0.704
(1.00)
0.221
(1.00)
0.844
(1.00)
0.527
(1.00)
0.482
(1.00)
0.248
(1.00)
0.698
(1.00)
1
(1.00)
0.00619
(1.00)
0.509
(1.00)
0.79
(1.00)
0.324
(1.00)
5q loss 118 (32%) 255 0.76
(1.00)
0.538
(1.00)
0.574
(1.00)
0.0699
(1.00)
0.355
(1.00)
0.642
(1.00)
0.176
(1.00)
0.53
(1.00)
0.403
(1.00)
0.0527
(1.00)
0.401
(1.00)
0.381
(1.00)
6p loss 51 (14%) 322 0.154
(1.00)
0.554
(1.00)
0.433
(1.00)
0.478
(1.00)
0.519
(1.00)
0.508
(1.00)
0.248
(1.00)
1
(1.00)
0.709
(1.00)
0.241
(1.00)
0.421
(1.00)
0.206
(1.00)
6q loss 50 (13%) 323 0.396
(1.00)
0.544
(1.00)
0.505
(1.00)
0.326
(1.00)
0.983
(1.00)
0.508
(1.00)
0.0922
(1.00)
1
(1.00)
0.447
(1.00)
0.535
(1.00)
0.683
(1.00)
0.94
(1.00)
7p loss 17 (5%) 356 0.686
(1.00)
0.828
(1.00)
0.659
(1.00)
0.887
(1.00)
0.267
(1.00)
1
(1.00)
0.787
(1.00)
1
(1.00)
0.542
(1.00)
0.234
(1.00)
0.263
(1.00)
0.821
(1.00)
7q loss 32 (9%) 341 0.914
(1.00)
0.184
(1.00)
0.726
(1.00)
0.153
(1.00)
0.607
(1.00)
0.728
(1.00)
0.689
(1.00)
0.363
(1.00)
0.486
(1.00)
0.68
(1.00)
0.0469
(1.00)
0.354
(1.00)
8p loss 140 (38%) 233 0.0932
(1.00)
0.419
(1.00)
0.485
(1.00)
0.459
(1.00)
0.344
(1.00)
0.828
(1.00)
0.124
(1.00)
0.302
(1.00)
0.689
(1.00)
0.221
(1.00)
0.435
(1.00)
0.42
(1.00)
8q loss 22 (6%) 351 0.429
(1.00)
0.944
(1.00)
0.823
(1.00)
0.12
(1.00)
0.542
(1.00)
1
(1.00)
0.632
(1.00)
1
(1.00)
0.407
(1.00)
0.000461
(0.442)
0.137
(1.00)
0.842
(1.00)
9p loss 131 (35%) 242 0.0369
(1.00)
0.86
(1.00)
0.903
(1.00)
0.505
(1.00)
0.902
(1.00)
0.492
(1.00)
0.19
(1.00)
0.411
(1.00)
0.892
(1.00)
0.0154
(1.00)
0.795
(1.00)
0.785
(1.00)
9q loss 60 (16%) 313 0.507
(1.00)
0.729
(1.00)
0.69
(1.00)
0.113
(1.00)
0.727
(1.00)
1
(1.00)
0.758
(1.00)
1
(1.00)
0.481
(1.00)
0.23
(1.00)
0.804
(1.00)
0.374
(1.00)
10p loss 115 (31%) 258 0.0651
(1.00)
0.551
(1.00)
0.64
(1.00)
0.319
(1.00)
0.657
(1.00)
0.366
(1.00)
0.107
(1.00)
0.527
(1.00)
0.4
(1.00)
0.828
(1.00)
0.97
(1.00)
0.378
(1.00)
10q loss 80 (21%) 293 0.383
(1.00)
0.169
(1.00)
0.44
(1.00)
0.604
(1.00)
0.273
(1.00)
0.21
(1.00)
0.0263
(1.00)
0.671
(1.00)
0.207
(1.00)
0.501
(1.00)
0.0642
(1.00)
0.432
(1.00)
11p loss 100 (27%) 273 0.0606
(1.00)
0.521
(1.00)
0.115
(1.00)
0.955
(1.00)
0.00893
(1.00)
1
(1.00)
0.247
(1.00)
0.691
(1.00)
0.77
(1.00)
0.237
(1.00)
0.918
(1.00)
0.0685
(1.00)
11q loss 120 (32%) 253 0.291
(1.00)
0.233
(1.00)
0.4
(1.00)
0.972
(1.00)
0.0725
(1.00)
1
(1.00)
0.00491
(1.00)
1
(1.00)
0.165
(1.00)
0.564
(1.00)
0.2
(1.00)
0.0927
(1.00)
12p loss 26 (7%) 347 0.0463
(1.00)
0.0336
(1.00)
0.602
(1.00)
0.302
(1.00)
0.446
(1.00)
1
(1.00)
0.504
(1.00)
1
(1.00)
0.617
(1.00)
0.211
(1.00)
0.125
(1.00)
0.615
(1.00)
12q loss 22 (6%) 351 0.457
(1.00)
0.213
(1.00)
0.72
(1.00)
0.102
(1.00)
0.914
(1.00)
0.672
(1.00)
0.632
(1.00)
1
(1.00)
0.588
(1.00)
0.799
(1.00)
0.492
(1.00)
0.768
(1.00)
13q loss 120 (32%) 253 0.455
(1.00)
0.278
(1.00)
0.182
(1.00)
0.267
(1.00)
0.261
(1.00)
0.487
(1.00)
1
(1.00)
0.168
(1.00)
0.89
(1.00)
0.25
(1.00)
0.421
(1.00)
0.361
(1.00)
14q loss 36 (10%) 337 0.337
(1.00)
0.903
(1.00)
0.454
(1.00)
0.156
(1.00)
0.833
(1.00)
1
(1.00)
0.12
(1.00)
1
(1.00)
0.387
(1.00)
0.481
(1.00)
0.883
(1.00)
0.00212
(1.00)
15q loss 66 (18%) 307 0.288
(1.00)
0.109
(1.00)
0.795
(1.00)
0.33
(1.00)
0.14
(1.00)
0.74
(1.00)
0.881
(1.00)
0.192
(1.00)
0.5
(1.00)
0.944
(1.00)
0.506
(1.00)
0.282
(1.00)
16p loss 45 (12%) 328 0.175
(1.00)
0.0156
(1.00)
0.979
(1.00)
0.581
(1.00)
0.222
(1.00)
0.235
(1.00)
0.294
(1.00)
1
(1.00)
0.161
(1.00)
0.786
(1.00)
0.305
(1.00)
0.807
(1.00)
16q loss 55 (15%) 318 0.211
(1.00)
0.0791
(1.00)
0.664
(1.00)
0.743
(1.00)
0.284
(1.00)
0.0968
(1.00)
0.26
(1.00)
0.552
(1.00)
0.361
(1.00)
0.803
(1.00)
0.242
(1.00)
0.737
(1.00)
17p loss 83 (22%) 290 0.426
(1.00)
0.234
(1.00)
0.426
(1.00)
0.849
(1.00)
1
(1.00)
0.8
(1.00)
0.493
(1.00)
1
(1.00)
0.437
(1.00)
0.77
(1.00)
0.455
(1.00)
0.558
(1.00)
17q loss 28 (8%) 345 0.791
(1.00)
0.712
(1.00)
0.795
(1.00)
0.522
(1.00)
0.679
(1.00)
0.039
(1.00)
1
(1.00)
0.325
(1.00)
0.224
(1.00)
0.926
(1.00)
0.424
(1.00)
0.0803
(1.00)
18p loss 78 (21%) 295 0.359
(1.00)
0.462
(1.00)
0.939
(1.00)
1
(1.00)
0.337
(1.00)
0.795
(1.00)
0.483
(1.00)
0.233
(1.00)
0.75
(1.00)
0.722
(1.00)
0.343
(1.00)
0.832
(1.00)
18q loss 159 (43%) 214 0.137
(1.00)
0.0912
(1.00)
0.985
(1.00)
0.955
(1.00)
0.278
(1.00)
0.667
(1.00)
0.0835
(1.00)
0.455
(1.00)
0.793
(1.00)
0.0892
(1.00)
0.00702
(1.00)
0.258
(1.00)
19p loss 74 (20%) 299 0.00584
(1.00)
0.192
(1.00)
0.414
(1.00)
0.191
(1.00)
0.571
(1.00)
0.275
(1.00)
0.568
(1.00)
0.67
(1.00)
0.745
(1.00)
0.27
(1.00)
0.0174
(1.00)
0.453
(1.00)
19q loss 62 (17%) 311 0.0451
(1.00)
0.0764
(1.00)
0.113
(1.00)
0.0625
(1.00)
0.652
(1.00)
0.759
(1.00)
0.879
(1.00)
1
(1.00)
0.862
(1.00)
0.558
(1.00)
0.0579
(1.00)
0.984
(1.00)
20p loss 40 (11%) 333 0.888
(1.00)
0.707
(1.00)
0.769
(1.00)
0.966
(1.00)
0.521
(1.00)
0.186
(1.00)
0.46
(1.00)
1
(1.00)
1
(1.00)
0.393
(1.00)
0.508
(1.00)
0.862
(1.00)
20q loss 25 (7%) 348 0.272
(1.00)
0.35
(1.00)
0.296
(1.00)
0.73
(1.00)
0.666
(1.00)
1
(1.00)
0.819
(1.00)
1
(1.00)
0.797
(1.00)
0.0785
(1.00)
0.0118
(1.00)
0.746
(1.00)
21q loss 136 (36%) 237 0.383
(1.00)
0.599
(1.00)
0.575
(1.00)
0.271
(1.00)
0.136
(1.00)
0.275
(1.00)
0.721
(1.00)
0.301
(1.00)
0.5
(1.00)
0.194
(1.00)
0.237
(1.00)
0.89
(1.00)
22q loss 56 (15%) 317 0.945
(1.00)
0.921
(1.00)
0.475
(1.00)
0.366
(1.00)
0.62
(1.00)
1
(1.00)
0.341
(1.00)
1
(1.00)
0.15
(1.00)
0.802
(1.00)
0.276
(1.00)
0.00821
(1.00)
xq loss 61 (16%) 312 0.333
(1.00)
0.0794
(1.00)
0.579
(1.00)
0.0747
(1.00)
0.659
(1.00)
0.759
(1.00)
0.0914
(1.00)
0.593
(1.00)
0.598
(1.00)
0.177
(1.00)
0.806
(1.00)
0.26
(1.00)
'18p gain' versus 'GENDER'

P value = 6.09e-05 (Fisher's exact test), Q value = 0.058

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

nPatients FEMALE MALE
ALL 107 266
18P GAIN MUTATED 10 74
18P GAIN WILD-TYPE 97 192

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 = 373

  • 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)