Correlation between copy number variations of arm-level result and selected clinical features
Skin Cutaneous Melanoma (Metastatic)
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/C1CZ35VJ
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 79 arm-level events and 12 clinical features across 274 patients, 3 significant findings detected with Q value < 0.25.

  • 5q gain cnv correlated to 'BRESLOW.THICKNESS'.

  • 9q gain cnv correlated to 'BRESLOW.THICKNESS'.

  • 10q loss cnv correlated to 'AGE'.

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 clinical features. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, 3 significant findings detected.

Clinical
Features
Time
from
Specimen
Diagnosis
to
Death
Time
to
Death
AGE PRIMARY
SITE
OF
DISEASE
NEOPLASM
DISEASESTAGE
PATHOLOGY
T
STAGE
PATHOLOGY
N
STAGE
PATHOLOGY
M
STAGE
MELANOMA
ULCERATION
MELANOMA
PRIMARY
KNOWN
BRESLOW
THICKNESS
GENDER
nCNV (%) nWild-Type logrank test logrank test t-test Fisher's exact test Chi-square test Fisher's exact test Fisher's exact test Chi-square test Fisher's exact test Fisher's exact test t-test Fisher's exact test
5q gain 33 (12%) 241 0.322
(1.00)
0.118
(1.00)
0.986
(1.00)
0.402
(1.00)
0.563
(1.00)
0.317
(1.00)
0.867
(1.00)
0.135
(1.00)
0.193
(1.00)
0.255
(1.00)
0.000131
(0.124)
0.573
(1.00)
9q gain 20 (7%) 254 0.25
(1.00)
0.984
(1.00)
0.269
(1.00)
0.0672
(1.00)
0.279
(1.00)
0.31
(1.00)
0.921
(1.00)
0.787
(1.00)
0.105
(1.00)
0.145
(1.00)
0.000188
(0.178)
0.634
(1.00)
10q loss 167 (61%) 107 0.479
(1.00)
0.287
(1.00)
7.2e-05
(0.0683)
0.0455
(1.00)
0.771
(1.00)
0.0861
(1.00)
0.329
(1.00)
0.149
(1.00)
0.751
(1.00)
0.57
(1.00)
0.6
(1.00)
0.161
(1.00)
1p gain 62 (23%) 212 0.634
(1.00)
0.444
(1.00)
0.465
(1.00)
0.078
(1.00)
0.197
(1.00)
0.646
(1.00)
0.549
(1.00)
0.0794
(1.00)
0.588
(1.00)
0.659
(1.00)
0.67
(1.00)
1
(1.00)
1q gain 121 (44%) 153 0.849
(1.00)
0.623
(1.00)
0.894
(1.00)
0.445
(1.00)
0.606
(1.00)
0.953
(1.00)
0.0722
(1.00)
0.271
(1.00)
0.436
(1.00)
1
(1.00)
0.543
(1.00)
0.617
(1.00)
2p gain 53 (19%) 221 0.132
(1.00)
0.0611
(1.00)
0.516
(1.00)
0.421
(1.00)
0.926
(1.00)
0.129
(1.00)
0.963
(1.00)
0.568
(1.00)
0.558
(1.00)
0.35
(1.00)
0.792
(1.00)
0.531
(1.00)
2q gain 51 (19%) 223 0.0206
(1.00)
0.0204
(1.00)
0.614
(1.00)
0.457
(1.00)
0.831
(1.00)
0.0349
(1.00)
0.792
(1.00)
0.68
(1.00)
1
(1.00)
0.811
(1.00)
0.867
(1.00)
1
(1.00)
3p gain 44 (16%) 230 0.571
(1.00)
0.0294
(1.00)
0.13
(1.00)
0.374
(1.00)
0.124
(1.00)
0.0656
(1.00)
0.195
(1.00)
0.426
(1.00)
0.385
(1.00)
0.621
(1.00)
0.00288
(1.00)
0.736
(1.00)
3q gain 54 (20%) 220 0.284
(1.00)
0.0176
(1.00)
0.0155
(1.00)
0.395
(1.00)
0.0521
(1.00)
0.0061
(1.00)
0.0214
(1.00)
0.413
(1.00)
0.0488
(1.00)
0.642
(1.00)
0.00135
(1.00)
0.755
(1.00)
4p gain 40 (15%) 234 0.906
(1.00)
0.599
(1.00)
0.53
(1.00)
0.448
(1.00)
0.0439
(1.00)
0.0707
(1.00)
0.64
(1.00)
0.524
(1.00)
1
(1.00)
0.29
(1.00)
0.765
(1.00)
0.599
(1.00)
4q gain 34 (12%) 240 0.987
(1.00)
0.451
(1.00)
0.426
(1.00)
0.531
(1.00)
0.168
(1.00)
0.0963
(1.00)
0.499
(1.00)
0.374
(1.00)
1
(1.00)
0.578
(1.00)
0.709
(1.00)
0.851
(1.00)
5p gain 53 (19%) 221 0.181
(1.00)
0.0255
(1.00)
0.0899
(1.00)
0.555
(1.00)
0.0551
(1.00)
0.498
(1.00)
0.0891
(1.00)
0.38
(1.00)
0.0533
(1.00)
0.241
(1.00)
0.000446
(0.422)
0.638
(1.00)
6p gain 109 (40%) 165 0.164
(1.00)
0.651
(1.00)
0.722
(1.00)
0.182
(1.00)
0.173
(1.00)
0.06
(1.00)
0.123
(1.00)
0.0702
(1.00)
0.636
(1.00)
0.343
(1.00)
0.607
(1.00)
0.447
(1.00)
6q gain 36 (13%) 238 0.428
(1.00)
0.501
(1.00)
0.863
(1.00)
0.392
(1.00)
0.102
(1.00)
0.0053
(1.00)
0.0055
(1.00)
0.382
(1.00)
0.191
(1.00)
0.591
(1.00)
0.174
(1.00)
0.714
(1.00)
7p gain 148 (54%) 126 0.874
(1.00)
0.804
(1.00)
0.424
(1.00)
0.161
(1.00)
0.0149
(1.00)
0.364
(1.00)
0.274
(1.00)
0.411
(1.00)
0.642
(1.00)
0.138
(1.00)
0.556
(1.00)
0.213
(1.00)
7q gain 146 (53%) 128 0.878
(1.00)
0.873
(1.00)
0.16
(1.00)
0.294
(1.00)
0.0398
(1.00)
0.763
(1.00)
0.781
(1.00)
0.619
(1.00)
0.642
(1.00)
0.458
(1.00)
0.518
(1.00)
0.0829
(1.00)
8p gain 88 (32%) 186 0.931
(1.00)
0.958
(1.00)
0.181
(1.00)
0.00537
(1.00)
0.457
(1.00)
0.734
(1.00)
0.644
(1.00)
0.579
(1.00)
0.183
(1.00)
0.427
(1.00)
0.889
(1.00)
0.353
(1.00)
8q gain 129 (47%) 145 0.492
(1.00)
0.363
(1.00)
0.0132
(1.00)
0.0164
(1.00)
0.453
(1.00)
0.115
(1.00)
0.36
(1.00)
0.74
(1.00)
0.876
(1.00)
0.0617
(1.00)
0.638
(1.00)
0.804
(1.00)
9p gain 14 (5%) 260 0.802
(1.00)
0.497
(1.00)
0.817
(1.00)
0.0446
(1.00)
0.102
(1.00)
0.249
(1.00)
0.879
(1.00)
0.638
(1.00)
0.203
(1.00)
0.388
(1.00)
0.00345
(1.00)
1
(1.00)
10p gain 8 (3%) 266 0.975
(1.00)
0.521
(1.00)
0.86
(1.00)
0.878
(1.00)
0.471
(1.00)
0.537
(1.00)
0.435
(1.00)
0.0205
(1.00)
1
(1.00)
0.0586
(1.00)
0.00537
(1.00)
1
(1.00)
11p gain 26 (9%) 248 0.945
(1.00)
0.713
(1.00)
1
(1.00)
0.744
(1.00)
0.113
(1.00)
0.0874
(1.00)
0.346
(1.00)
0.855
(1.00)
1
(1.00)
0.104
(1.00)
0.467
(1.00)
0.526
(1.00)
11q gain 23 (8%) 251 0.965
(1.00)
0.633
(1.00)
0.891
(1.00)
0.516
(1.00)
0.0428
(1.00)
0.0855
(1.00)
0.299
(1.00)
0.876
(1.00)
0.528
(1.00)
0.0428
(1.00)
0.0506
(1.00)
0.825
(1.00)
12p gain 47 (17%) 227 0.324
(1.00)
0.408
(1.00)
0.547
(1.00)
0.485
(1.00)
0.00861
(1.00)
0.117
(1.00)
0.0104
(1.00)
0.545
(1.00)
0.686
(1.00)
0.809
(1.00)
0.856
(1.00)
0.869
(1.00)
12q gain 32 (12%) 242 0.959
(1.00)
0.802
(1.00)
0.773
(1.00)
0.426
(1.00)
0.297
(1.00)
0.598
(1.00)
0.0263
(1.00)
0.843
(1.00)
1
(1.00)
0.146
(1.00)
0.575
(1.00)
0.443
(1.00)
13q gain 70 (26%) 204 0.102
(1.00)
0.592
(1.00)
0.348
(1.00)
0.0579
(1.00)
0.215
(1.00)
0.134
(1.00)
0.208
(1.00)
0.554
(1.00)
0.587
(1.00)
0.526
(1.00)
0.631
(1.00)
0.887
(1.00)
14q gain 29 (11%) 245 0.992
(1.00)
0.587
(1.00)
0.365
(1.00)
0.962
(1.00)
0.806
(1.00)
0.481
(1.00)
0.526
(1.00)
0.832
(1.00)
1
(1.00)
1
(1.00)
0.556
(1.00)
0.232
(1.00)
15q gain 61 (22%) 213 0.371
(1.00)
0.203
(1.00)
0.586
(1.00)
0.519
(1.00)
0.427
(1.00)
0.295
(1.00)
0.5
(1.00)
0.617
(1.00)
0.56
(1.00)
0.265
(1.00)
0.551
(1.00)
0.882
(1.00)
16p gain 40 (15%) 234 0.596
(1.00)
0.474
(1.00)
0.137
(1.00)
0.0315
(1.00)
0.136
(1.00)
0.00613
(1.00)
0.00388
(1.00)
0.415
(1.00)
0.647
(1.00)
0.798
(1.00)
0.815
(1.00)
0.861
(1.00)
16q gain 34 (12%) 240 0.324
(1.00)
0.873
(1.00)
0.295
(1.00)
0.0678
(1.00)
0.175
(1.00)
0.00616
(1.00)
0.00806
(1.00)
0.383
(1.00)
0.809
(1.00)
0.779
(1.00)
0.946
(1.00)
0.458
(1.00)
17p gain 31 (11%) 243 0.931
(1.00)
0.871
(1.00)
0.404
(1.00)
0.929
(1.00)
0.767
(1.00)
0.538
(1.00)
0.42
(1.00)
0.364
(1.00)
0.225
(1.00)
0.775
(1.00)
0.458
(1.00)
0.436
(1.00)
17q gain 54 (20%) 220 0.561
(1.00)
0.539
(1.00)
0.00296
(1.00)
0.455
(1.00)
0.439
(1.00)
0.939
(1.00)
0.448
(1.00)
0.521
(1.00)
0.457
(1.00)
0.817
(1.00)
0.676
(1.00)
1
(1.00)
18p gain 46 (17%) 228 0.659
(1.00)
0.979
(1.00)
0.391
(1.00)
0.781
(1.00)
0.00355
(1.00)
0.0216
(1.00)
0.296
(1.00)
0.0212
(1.00)
0.297
(1.00)
0.805
(1.00)
0.507
(1.00)
0.319
(1.00)
18q gain 38 (14%) 236 0.467
(1.00)
0.229
(1.00)
0.729
(1.00)
0.721
(1.00)
0.00206
(1.00)
0.0371
(1.00)
0.227
(1.00)
0.496
(1.00)
0.36
(1.00)
0.426
(1.00)
0.584
(1.00)
0.376
(1.00)
19p gain 40 (15%) 234 0.898
(1.00)
0.806
(1.00)
0.823
(1.00)
0.428
(1.00)
0.751
(1.00)
0.888
(1.00)
0.743
(1.00)
0.137
(1.00)
0.525
(1.00)
0.598
(1.00)
0.688
(1.00)
0.22
(1.00)
19q gain 41 (15%) 233 0.789
(1.00)
0.75
(1.00)
0.338
(1.00)
0.306
(1.00)
0.886
(1.00)
0.543
(1.00)
0.478
(1.00)
0.149
(1.00)
0.27
(1.00)
0.603
(1.00)
0.482
(1.00)
0.164
(1.00)
20p gain 115 (42%) 159 0.383
(1.00)
0.409
(1.00)
0.0953
(1.00)
0.804
(1.00)
0.0748
(1.00)
0.0202
(1.00)
0.0981
(1.00)
0.238
(1.00)
0.116
(1.00)
0.574
(1.00)
0.0259
(1.00)
0.803
(1.00)
20q gain 137 (50%) 137 0.809
(1.00)
0.136
(1.00)
0.019
(1.00)
0.663
(1.00)
0.0288
(1.00)
0.0161
(1.00)
0.425
(1.00)
0.131
(1.00)
0.159
(1.00)
0.458
(1.00)
0.0249
(1.00)
0.804
(1.00)
21q gain 51 (19%) 223 0.495
(1.00)
0.261
(1.00)
0.265
(1.00)
0.334
(1.00)
0.0256
(1.00)
0.164
(1.00)
0.155
(1.00)
0.555
(1.00)
0.078
(1.00)
1
(1.00)
0.0538
(1.00)
0.875
(1.00)
22q gain 98 (36%) 176 0.276
(1.00)
0.193
(1.00)
0.584
(1.00)
0.206
(1.00)
0.767
(1.00)
0.288
(1.00)
0.109
(1.00)
0.959
(1.00)
0.747
(1.00)
0.7
(1.00)
0.186
(1.00)
0.437
(1.00)
xq gain 31 (11%) 243 0.167
(1.00)
0.21
(1.00)
0.559
(1.00)
0.344
(1.00)
0.644
(1.00)
0.647
(1.00)
0.227
(1.00)
0.785
(1.00)
0.817
(1.00)
0.775
(1.00)
0.631
(1.00)
0.845
(1.00)
1p loss 36 (13%) 238 0.177
(1.00)
0.0252
(1.00)
0.0234
(1.00)
0.757
(1.00)
0.0466
(1.00)
0.345
(1.00)
0.218
(1.00)
0.84
(1.00)
0.323
(1.00)
0.591
(1.00)
0.496
(1.00)
1
(1.00)
1q loss 20 (7%) 254 0.693
(1.00)
0.58
(1.00)
0.545
(1.00)
0.947
(1.00)
0.641
(1.00)
0.963
(1.00)
0.574
(1.00)
0.771
(1.00)
0.771
(1.00)
0.485
(1.00)
0.198
(1.00)
0.634
(1.00)
2p loss 35 (13%) 239 0.845
(1.00)
0.175
(1.00)
0.802
(1.00)
0.969
(1.00)
0.627
(1.00)
0.27
(1.00)
0.188
(1.00)
0.463
(1.00)
0.665
(1.00)
0.78
(1.00)
0.639
(1.00)
0.854
(1.00)
2q loss 35 (13%) 239 0.214
(1.00)
0.586
(1.00)
0.929
(1.00)
0.731
(1.00)
0.961
(1.00)
0.455
(1.00)
0.304
(1.00)
0.23
(1.00)
0.665
(1.00)
0.277
(1.00)
0.977
(1.00)
0.854
(1.00)
3p loss 42 (15%) 232 0.514
(1.00)
0.395
(1.00)
0.239
(1.00)
0.706
(1.00)
0.411
(1.00)
0.398
(1.00)
0.433
(1.00)
0.818
(1.00)
0.826
(1.00)
1
(1.00)
0.0959
(1.00)
0.605
(1.00)
3q loss 33 (12%) 241 0.893
(1.00)
0.334
(1.00)
0.598
(1.00)
0.619
(1.00)
0.616
(1.00)
0.349
(1.00)
0.397
(1.00)
0.843
(1.00)
0.808
(1.00)
0.778
(1.00)
0.178
(1.00)
0.703
(1.00)
4p loss 57 (21%) 217 0.791
(1.00)
0.998
(1.00)
0.523
(1.00)
0.221
(1.00)
0.524
(1.00)
0.863
(1.00)
0.658
(1.00)
0.405
(1.00)
0.708
(1.00)
0.821
(1.00)
0.0553
(1.00)
0.127
(1.00)
4q loss 59 (22%) 215 0.749
(1.00)
0.867
(1.00)
0.266
(1.00)
0.421
(1.00)
0.52
(1.00)
0.527
(1.00)
0.341
(1.00)
0.064
(1.00)
0.344
(1.00)
0.375
(1.00)
0.0303
(1.00)
0.0692
(1.00)
5p loss 64 (23%) 210 0.908
(1.00)
0.965
(1.00)
0.657
(1.00)
0.932
(1.00)
0.582
(1.00)
0.429
(1.00)
0.34
(1.00)
0.375
(1.00)
0.144
(1.00)
0.126
(1.00)
0.444
(1.00)
0.467
(1.00)
5q loss 80 (29%) 194 0.792
(1.00)
0.928
(1.00)
0.364
(1.00)
0.805
(1.00)
0.938
(1.00)
0.307
(1.00)
0.882
(1.00)
0.605
(1.00)
0.305
(1.00)
0.316
(1.00)
0.529
(1.00)
0.785
(1.00)
6p loss 50 (18%) 224 0.23
(1.00)
0.23
(1.00)
0.825
(1.00)
0.421
(1.00)
0.538
(1.00)
0.171
(1.00)
0.582
(1.00)
0.748
(1.00)
0.54
(1.00)
0.811
(1.00)
0.28
(1.00)
0.338
(1.00)
6q loss 132 (48%) 142 0.427
(1.00)
0.746
(1.00)
0.215
(1.00)
0.323
(1.00)
0.966
(1.00)
0.214
(1.00)
0.702
(1.00)
0.882
(1.00)
0.439
(1.00)
0.463
(1.00)
0.176
(1.00)
0.804
(1.00)
7p loss 15 (5%) 259 0.955
(1.00)
0.758
(1.00)
0.11
(1.00)
0.389
(1.00)
0.357
(1.00)
0.000556
(0.525)
0.684
(1.00)
0.932
(1.00)
0.74
(1.00)
0.699
(1.00)
0.422
(1.00)
0.421
(1.00)
7q loss 14 (5%) 260 0.773
(1.00)
0.742
(1.00)
0.915
(1.00)
0.456
(1.00)
0.281
(1.00)
0.102
(1.00)
0.518
(1.00)
0.948
(1.00)
1
(1.00)
1
(1.00)
0.891
(1.00)
1
(1.00)
8p loss 50 (18%) 224 0.464
(1.00)
0.309
(1.00)
0.0819
(1.00)
0.0444
(1.00)
0.285
(1.00)
0.0881
(1.00)
0.97
(1.00)
0.459
(1.00)
0.0613
(1.00)
1
(1.00)
0.0657
(1.00)
1
(1.00)
8q loss 19 (7%) 255 0.189
(1.00)
0.431
(1.00)
0.293
(1.00)
0.113
(1.00)
0.514
(1.00)
0.21
(1.00)
0.454
(1.00)
0.184
(1.00)
1
(1.00)
0.142
(1.00)
0.647
(1.00)
0.808
(1.00)
9p loss 180 (66%) 94 0.391
(1.00)
0.548
(1.00)
0.339
(1.00)
0.273
(1.00)
0.78
(1.00)
0.761
(1.00)
0.66
(1.00)
0.706
(1.00)
0.623
(1.00)
1
(1.00)
0.914
(1.00)
0.019
(1.00)
9q loss 140 (51%) 134 0.968
(1.00)
0.193
(1.00)
0.277
(1.00)
0.162
(1.00)
0.275
(1.00)
0.885
(1.00)
0.273
(1.00)
0.464
(1.00)
1
(1.00)
0.713
(1.00)
0.918
(1.00)
0.0818
(1.00)
10p loss 152 (55%) 122 0.292
(1.00)
0.861
(1.00)
0.00842
(1.00)
0.0406
(1.00)
0.75
(1.00)
0.0796
(1.00)
0.36
(1.00)
0.592
(1.00)
0.638
(1.00)
1
(1.00)
0.718
(1.00)
0.061
(1.00)
11p loss 93 (34%) 181 0.685
(1.00)
0.197
(1.00)
0.0462
(1.00)
0.769
(1.00)
0.441
(1.00)
0.437
(1.00)
0.136
(1.00)
0.119
(1.00)
0.33
(1.00)
0.699
(1.00)
0.565
(1.00)
0.00856
(1.00)
11q loss 107 (39%) 167 0.833
(1.00)
0.298
(1.00)
0.483
(1.00)
0.893
(1.00)
0.277
(1.00)
0.653
(1.00)
0.203
(1.00)
0.628
(1.00)
0.0583
(1.00)
1
(1.00)
0.815
(1.00)
0.00139
(1.00)
12p loss 38 (14%) 236 0.878
(1.00)
0.266
(1.00)
0.524
(1.00)
0.252
(1.00)
0.942
(1.00)
0.987
(1.00)
0.89
(1.00)
0.0481
(1.00)
0.497
(1.00)
0.279
(1.00)
0.0878
(1.00)
0.376
(1.00)
12q loss 45 (16%) 229 0.708
(1.00)
0.578
(1.00)
0.873
(1.00)
0.332
(1.00)
0.813
(1.00)
0.845
(1.00)
0.612
(1.00)
0.325
(1.00)
0.832
(1.00)
1
(1.00)
0.0628
(1.00)
0.403
(1.00)
13q loss 60 (22%) 214 0.385
(1.00)
0.307
(1.00)
0.411
(1.00)
0.326
(1.00)
0.761
(1.00)
0.208
(1.00)
0.548
(1.00)
0.0124
(1.00)
0.366
(1.00)
1
(1.00)
0.0428
(1.00)
0.652
(1.00)
14q loss 86 (31%) 188 0.871
(1.00)
0.757
(1.00)
0.218
(1.00)
0.182
(1.00)
0.347
(1.00)
0.656
(1.00)
0.319
(1.00)
0.294
(1.00)
0.74
(1.00)
0.842
(1.00)
0.274
(1.00)
0.425
(1.00)
15q loss 38 (14%) 236 0.478
(1.00)
0.446
(1.00)
0.741
(1.00)
0.334
(1.00)
0.0916
(1.00)
0.0577
(1.00)
0.833
(1.00)
0.415
(1.00)
0.665
(1.00)
0.591
(1.00)
0.151
(1.00)
0.72
(1.00)
16p loss 53 (19%) 221 0.815
(1.00)
0.713
(1.00)
0.0928
(1.00)
0.415
(1.00)
0.84
(1.00)
0.475
(1.00)
0.638
(1.00)
0.506
(1.00)
0.702
(1.00)
0.35
(1.00)
0.991
(1.00)
0.0412
(1.00)
16q loss 81 (30%) 193 0.473
(1.00)
0.402
(1.00)
0.184
(1.00)
0.589
(1.00)
0.368
(1.00)
0.279
(1.00)
0.682
(1.00)
0.811
(1.00)
0.869
(1.00)
0.547
(1.00)
0.507
(1.00)
0.0763
(1.00)
17p loss 96 (35%) 178 0.499
(1.00)
0.335
(1.00)
0.182
(1.00)
0.138
(1.00)
0.632
(1.00)
0.839
(1.00)
0.987
(1.00)
0.6
(1.00)
0.424
(1.00)
0.698
(1.00)
0.318
(1.00)
0.242
(1.00)
17q loss 47 (17%) 227 0.575
(1.00)
0.208
(1.00)
0.58
(1.00)
0.756
(1.00)
0.123
(1.00)
0.875
(1.00)
0.503
(1.00)
0.117
(1.00)
0.842
(1.00)
1
(1.00)
0.267
(1.00)
0.869
(1.00)
18p loss 79 (29%) 195 0.115
(1.00)
0.109
(1.00)
0.462
(1.00)
0.835
(1.00)
0.158
(1.00)
0.583
(1.00)
0.654
(1.00)
0.23
(1.00)
0.374
(1.00)
0.0992
(1.00)
0.722
(1.00)
1
(1.00)
18q loss 75 (27%) 199 0.343
(1.00)
0.0917
(1.00)
0.486
(1.00)
0.574
(1.00)
0.149
(1.00)
0.612
(1.00)
0.355
(1.00)
0.313
(1.00)
0.476
(1.00)
0.143
(1.00)
0.551
(1.00)
0.677
(1.00)
19p loss 55 (20%) 219 0.784
(1.00)
0.413
(1.00)
0.592
(1.00)
0.653
(1.00)
0.203
(1.00)
0.214
(1.00)
0.396
(1.00)
0.0812
(1.00)
0.32
(1.00)
0.494
(1.00)
0.299
(1.00)
0.0873
(1.00)
19q loss 53 (19%) 221 0.774
(1.00)
0.842
(1.00)
0.525
(1.00)
0.81
(1.00)
0.6
(1.00)
0.25
(1.00)
0.659
(1.00)
0.0593
(1.00)
0.552
(1.00)
0.814
(1.00)
0.527
(1.00)
0.0843
(1.00)
20p loss 15 (5%) 259 0.903
(1.00)
0.726
(1.00)
0.223
(1.00)
0.126
(1.00)
0.981
(1.00)
1
(1.00)
0.307
(1.00)
0.0786
(1.00)
0.529
(1.00)
0.403
(1.00)
0.587
(1.00)
1
(1.00)
20q loss 4 (1%) 270 0.793
(1.00)
0.713
(1.00)
0.928
(1.00)
0.186
(1.00)
0.527
(1.00)
0.747
(1.00)
0.2
(1.00)
0.995
(1.00)
1
(1.00)
0.403
(1.00)
0.699
(1.00)
0.301
(1.00)
21q loss 53 (19%) 221 0.755
(1.00)
0.762
(1.00)
0.149
(1.00)
0.624
(1.00)
0.475
(1.00)
0.613
(1.00)
0.298
(1.00)
0.405
(1.00)
0.847
(1.00)
0.157
(1.00)
0.392
(1.00)
0.433
(1.00)
22q loss 27 (10%) 247 0.346
(1.00)
0.334
(1.00)
0.432
(1.00)
0.812
(1.00)
0.078
(1.00)
0.202
(1.00)
0.212
(1.00)
0.298
(1.00)
0.0675
(1.00)
1
(1.00)
0.137
(1.00)
0.836
(1.00)
xq loss 70 (26%) 204 0.505
(1.00)
0.9
(1.00)
0.586
(1.00)
0.0574
(1.00)
0.0703
(1.00)
0.435
(1.00)
0.0432
(1.00)
0.00369
(1.00)
0.288
(1.00)
0.396
(1.00)
0.603
(1.00)
0.0229
(1.00)
'5q gain' versus 'BRESLOW.THICKNESS'

P value = 0.000131 (t-test), Q value = 0.12

Table S1.  Gene #10: '5q gain' versus Clinical Feature #11: 'BRESLOW.THICKNESS'

nPatients Mean (Std.Dev)
ALL 200 3.5 (5.0)
5Q GAIN MUTATED 23 1.8 (1.5)
5Q GAIN WILD-TYPE 177 3.7 (5.2)

Figure S1.  Get High-res Image Gene #10: '5q gain' versus Clinical Feature #11: 'BRESLOW.THICKNESS'

'9q gain' versus 'BRESLOW.THICKNESS'

P value = 0.000188 (t-test), Q value = 0.18

Table S2.  Gene #18: '9q gain' versus Clinical Feature #11: 'BRESLOW.THICKNESS'

nPatients Mean (Std.Dev)
ALL 200 3.5 (5.0)
9Q GAIN MUTATED 19 1.8 (1.4)
9Q GAIN WILD-TYPE 181 3.7 (5.2)

Figure S2.  Get High-res Image Gene #18: '9q gain' versus Clinical Feature #11: 'BRESLOW.THICKNESS'

'10q loss' versus 'AGE'

P value = 7.2e-05 (t-test), Q value = 0.068

Table S3.  Gene #59: '10q loss' versus Clinical Feature #3: 'AGE'

nPatients Mean (Std.Dev)
ALL 270 55.5 (15.6)
10Q LOSS MUTATED 163 52.6 (16.1)
10Q LOSS WILD-TYPE 107 59.9 (13.6)

Figure S3.  Get High-res Image Gene #59: '10q loss' versus Clinical Feature #3: 'AGE'

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

  • Clinical data file = SKCM-TM.merged_data.txt

  • Number of patients = 274

  • Number of significantly arm-level cnvs = 79

  • 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

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

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

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] 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)
[4] Greenwood and Nikulin, A guide to chi-squared testing, Wiley, New York. ISBN 047155779X (1996)
[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)