Correlation between copy number variations of arm-level result and selected clinical features
Rectum Adenocarcinoma (Primary solid tumor)
23 September 2013  |  analyses__2013_09_23
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 (2013): Correlation between copy number variations of arm-level result and selected clinical features. Broad Institute of MIT and Harvard. doi:10.7908/C1Q81BD7
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 77 arm-level events and 11 clinical features across 162 patients, 2 significant findings detected with Q value < 0.25.

  • 4P GAIN MUTATION ANALYSIS cnv correlated to 'NUMBER.OF.LYMPH.NODES'.

  • 2Q LOSS MUTATION ANALYSIS cnv correlated to 'NUMBER.OF.LYMPH.NODES'.

Results
Overview of the results

Table 1.  Get Full Table Overview of the association between significant copy number variation of 77 arm-level events and 11 clinical features. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, 2 significant findings detected.

Clinical
Features
Time
to
Death
AGE NEOPLASM
DISEASESTAGE
PATHOLOGY
T
STAGE
PATHOLOGY
N
STAGE
PATHOLOGY
M
STAGE
GENDER HISTOLOGICAL
TYPE
RADIATIONS
RADIATION
REGIMENINDICATION
COMPLETENESS
OF
RESECTION
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 Fisher's exact test t-test
4P GAIN MUTATION ANALYSIS 8 (5%) 154 0.701
(1.00)
0.538
(1.00)
0.258
(1.00)
0.606
(1.00)
0.304
(1.00)
0.287
(1.00)
0.292
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
2.96e-05
(0.025)
2Q LOSS MUTATION ANALYSIS 6 (4%) 156 0.515
(1.00)
0.0182
(1.00)
0.249
(1.00)
1
(1.00)
0.0467
(1.00)
0.776
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
1.39e-08
(1.17e-05)
1P GAIN MUTATION ANALYSIS 11 (7%) 151 0.0118
(1.00)
0.829
(1.00)
0.268
(1.00)
0.0176
(1.00)
0.378
(1.00)
0.106
(1.00)
1
(1.00)
0.0388
(1.00)
1
(1.00)
0.216
(1.00)
0.451
(1.00)
1Q GAIN MUTATION ANALYSIS 32 (20%) 130 0.983
(1.00)
0.282
(1.00)
0.273
(1.00)
0.0025
(1.00)
0.182
(1.00)
0.615
(1.00)
0.429
(1.00)
0.277
(1.00)
1
(1.00)
0.532
(1.00)
0.0533
(1.00)
2P GAIN MUTATION ANALYSIS 33 (20%) 129 0.535
(1.00)
0.544
(1.00)
0.263
(1.00)
0.416
(1.00)
0.0937
(1.00)
0.216
(1.00)
0.0303
(1.00)
0.0716
(1.00)
1
(1.00)
0.151
(1.00)
0.845
(1.00)
2Q GAIN MUTATION ANALYSIS 35 (22%) 127 0.94
(1.00)
0.606
(1.00)
0.194
(1.00)
0.248
(1.00)
0.0568
(1.00)
0.292
(1.00)
0.0341
(1.00)
0.0415
(1.00)
0.611
(1.00)
0.266
(1.00)
0.402
(1.00)
3P GAIN MUTATION ANALYSIS 26 (16%) 136 0.55
(1.00)
0.851
(1.00)
0.182
(1.00)
0.846
(1.00)
0.319
(1.00)
0.0317
(1.00)
0.671
(1.00)
0.697
(1.00)
0.247
(1.00)
0.861
(1.00)
0.606
(1.00)
3Q GAIN MUTATION ANALYSIS 33 (20%) 129 0.914
(1.00)
0.95
(1.00)
0.309
(1.00)
0.741
(1.00)
0.374
(1.00)
0.0459
(1.00)
0.557
(1.00)
0.303
(1.00)
0.603
(1.00)
0.636
(1.00)
0.924
(1.00)
4Q GAIN MUTATION ANALYSIS 4 (2%) 158 0.442
(1.00)
0.921
(1.00)
1
(1.00)
0.656
(1.00)
0.655
(1.00)
0.126
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.0153
(1.00)
5P GAIN MUTATION ANALYSIS 31 (19%) 131 0.47
(1.00)
0.702
(1.00)
0.552
(1.00)
0.071
(1.00)
0.552
(1.00)
0.464
(1.00)
0.111
(1.00)
0.0727
(1.00)
0.323
(1.00)
0.519
(1.00)
0.926
(1.00)
5Q GAIN MUTATION ANALYSIS 21 (13%) 141 0.365
(1.00)
0.665
(1.00)
0.325
(1.00)
0.432
(1.00)
0.486
(1.00)
0.768
(1.00)
0.249
(1.00)
0.218
(1.00)
1
(1.00)
0.629
(1.00)
0.342
(1.00)
6P GAIN MUTATION ANALYSIS 39 (24%) 123 0.942
(1.00)
0.716
(1.00)
0.613
(1.00)
0.25
(1.00)
0.156
(1.00)
0.0967
(1.00)
0.854
(1.00)
0.19
(1.00)
0.0302
(1.00)
0.365
(1.00)
0.444
(1.00)
6Q GAIN MUTATION ANALYSIS 35 (22%) 127 0.733
(1.00)
0.649
(1.00)
0.117
(1.00)
0.289
(1.00)
0.202
(1.00)
0.022
(1.00)
0.848
(1.00)
0.0726
(1.00)
0.0202
(1.00)
0.279
(1.00)
0.923
(1.00)
7P GAIN MUTATION ANALYSIS 101 (62%) 61 0.287
(1.00)
0.583
(1.00)
0.0617
(1.00)
0.442
(1.00)
0.236
(1.00)
0.827
(1.00)
0.332
(1.00)
0.0154
(1.00)
0.411
(1.00)
0.492
(1.00)
0.16
(1.00)
7Q GAIN MUTATION ANALYSIS 90 (56%) 72 0.373
(1.00)
0.476
(1.00)
0.00452
(1.00)
0.782
(1.00)
0.0543
(1.00)
0.533
(1.00)
0.207
(1.00)
0.0172
(1.00)
0.228
(1.00)
0.448
(1.00)
0.144
(1.00)
8P GAIN MUTATION ANALYSIS 41 (25%) 121 0.979
(1.00)
0.639
(1.00)
0.13
(1.00)
0.134
(1.00)
0.779
(1.00)
0.575
(1.00)
0.589
(1.00)
1
(1.00)
0.643
(1.00)
0.228
(1.00)
0.0993
(1.00)
8Q GAIN MUTATION ANALYSIS 88 (54%) 74 0.0928
(1.00)
0.598
(1.00)
0.0188
(1.00)
0.109
(1.00)
0.163
(1.00)
0.219
(1.00)
1
(1.00)
0.0867
(1.00)
0.221
(1.00)
0.109
(1.00)
0.318
(1.00)
9P GAIN MUTATION ANALYSIS 41 (25%) 121 0.637
(1.00)
0.413
(1.00)
0.189
(1.00)
0.841
(1.00)
0.634
(1.00)
0.807
(1.00)
0.857
(1.00)
0.32
(1.00)
1
(1.00)
0.583
(1.00)
0.609
(1.00)
9Q GAIN MUTATION ANALYSIS 32 (20%) 130 0.648
(1.00)
0.176
(1.00)
0.0166
(1.00)
0.935
(1.00)
0.929
(1.00)
1
(1.00)
0.328
(1.00)
0.291
(1.00)
1
(1.00)
1
(1.00)
0.923
(1.00)
10P GAIN MUTATION ANALYSIS 12 (7%) 150 0.939
(1.00)
0.733
(1.00)
0.884
(1.00)
0.529
(1.00)
0.852
(1.00)
0.672
(1.00)
0.772
(1.00)
0.601
(1.00)
0.375
(1.00)
1
(1.00)
0.184
(1.00)
10Q GAIN MUTATION ANALYSIS 6 (4%) 156 0.968
(1.00)
0.475
(1.00)
0.337
(1.00)
0.641
(1.00)
0.0846
(1.00)
0.737
(1.00)
0.0938
(1.00)
1
(1.00)
0.206
(1.00)
1
(1.00)
0.406
(1.00)
11P GAIN MUTATION ANALYSIS 28 (17%) 134 0.273
(1.00)
0.503
(1.00)
0.884
(1.00)
0.481
(1.00)
0.623
(1.00)
0.269
(1.00)
0.836
(1.00)
0.127
(1.00)
1
(1.00)
1
(1.00)
0.666
(1.00)
11Q GAIN MUTATION ANALYSIS 24 (15%) 138 0.6
(1.00)
0.162
(1.00)
0.708
(1.00)
0.294
(1.00)
0.311
(1.00)
0.111
(1.00)
1
(1.00)
0.221
(1.00)
0.593
(1.00)
1
(1.00)
0.0323
(1.00)
12P GAIN MUTATION ANALYSIS 33 (20%) 129 0.702
(1.00)
0.402
(1.00)
0.732
(1.00)
0.492
(1.00)
0.361
(1.00)
0.626
(1.00)
0.7
(1.00)
0.471
(1.00)
0.0996
(1.00)
0.265
(1.00)
0.45
(1.00)
12Q GAIN MUTATION ANALYSIS 22 (14%) 140 0.776
(1.00)
0.238
(1.00)
0.886
(1.00)
0.658
(1.00)
0.716
(1.00)
0.941
(1.00)
0.818
(1.00)
0.688
(1.00)
0.59
(1.00)
0.85
(1.00)
0.775
(1.00)
13Q GAIN MUTATION ANALYSIS 108 (67%) 54 0.0483
(1.00)
0.273
(1.00)
0.359
(1.00)
0.302
(1.00)
0.0286
(1.00)
0.0341
(1.00)
0.738
(1.00)
0.00104
(0.875)
0.401
(1.00)
0.903
(1.00)
0.897
(1.00)
14Q GAIN MUTATION ANALYSIS 8 (5%) 154 0.298
(1.00)
0.968
(1.00)
0.8
(1.00)
1
(1.00)
0.445
(1.00)
0.825
(1.00)
0.471
(1.00)
1
(1.00)
0.266
(1.00)
1
(1.00)
0.746
(1.00)
15Q GAIN MUTATION ANALYSIS 5 (3%) 157 0.34
(1.00)
0.706
(1.00)
0.607
(1.00)
0.107
(1.00)
0.273
(1.00)
1
(1.00)
0.179
(1.00)
0.0557
(1.00)
0.174
(1.00)
1
(1.00)
0.5
(1.00)
16P GAIN MUTATION ANALYSIS 38 (23%) 124 0.932
(1.00)
0.628
(1.00)
0.505
(1.00)
0.884
(1.00)
0.431
(1.00)
0.81
(1.00)
0.58
(1.00)
0.0389
(1.00)
0.626
(1.00)
0.685
(1.00)
0.931
(1.00)
16Q GAIN MUTATION ANALYSIS 38 (23%) 124 0.344
(1.00)
0.56
(1.00)
0.704
(1.00)
1
(1.00)
0.233
(1.00)
0.31
(1.00)
0.854
(1.00)
0.0389
(1.00)
0.626
(1.00)
0.929
(1.00)
0.439
(1.00)
17P GAIN MUTATION ANALYSIS 8 (5%) 154 0.62
(1.00)
0.548
(1.00)
0.813
(1.00)
0.0474
(1.00)
0.702
(1.00)
0.825
(1.00)
1
(1.00)
0.51
(1.00)
1
(1.00)
1
(1.00)
0.551
(1.00)
17Q GAIN MUTATION ANALYSIS 29 (18%) 133 0.41
(1.00)
0.66
(1.00)
0.633
(1.00)
0.981
(1.00)
0.444
(1.00)
0.522
(1.00)
0.683
(1.00)
0.464
(1.00)
0.592
(1.00)
0.89
(1.00)
0.298
(1.00)
18P GAIN MUTATION ANALYSIS 9 (6%) 153 0.933
(1.00)
0.413
(1.00)
0.132
(1.00)
0.444
(1.00)
0.653
(1.00)
0.345
(1.00)
1
(1.00)
0.165
(1.00)
0.294
(1.00)
0.126
(1.00)
0.259
(1.00)
18Q GAIN MUTATION ANALYSIS 6 (4%) 156 0.203
(1.00)
0.397
(1.00)
0.0794
(1.00)
0.17
(1.00)
0.0846
(1.00)
0.145
(1.00)
0.221
(1.00)
0.412
(1.00)
0.206
(1.00)
0.041
(1.00)
0.175
(1.00)
19P GAIN MUTATION ANALYSIS 29 (18%) 133 0.855
(1.00)
0.951
(1.00)
0.62
(1.00)
0.149
(1.00)
0.858
(1.00)
0.299
(1.00)
0.539
(1.00)
0.129
(1.00)
0.592
(1.00)
0.455
(1.00)
0.967
(1.00)
19Q GAIN MUTATION ANALYSIS 30 (19%) 132 0.523
(1.00)
0.93
(1.00)
0.551
(1.00)
0.118
(1.00)
0.742
(1.00)
0.311
(1.00)
0.418
(1.00)
0.0747
(1.00)
0.594
(1.00)
0.239
(1.00)
0.044
(1.00)
20P GAIN MUTATION ANALYSIS 103 (64%) 59 0.384
(1.00)
0.58
(1.00)
0.0492
(1.00)
0.824
(1.00)
0.297
(1.00)
0.825
(1.00)
0.194
(1.00)
0.0139
(1.00)
1
(1.00)
0.141
(1.00)
0.97
(1.00)
20Q GAIN MUTATION ANALYSIS 142 (88%) 20 0.0364
(1.00)
0.142
(1.00)
0.0845
(1.00)
0.53
(1.00)
0.023
(1.00)
0.634
(1.00)
0.811
(1.00)
0.00106
(0.893)
0.552
(1.00)
0.11
(1.00)
0.557
(1.00)
21Q GAIN MUTATION ANALYSIS 10 (6%) 152 0.75
(1.00)
0.617
(1.00)
0.306
(1.00)
0.752
(1.00)
0.905
(1.00)
0.639
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.661
(1.00)
0.125
(1.00)
22Q GAIN MUTATION ANALYSIS 9 (6%) 153 0.00296
(1.00)
0.905
(1.00)
0.475
(1.00)
0.707
(1.00)
0.39
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.61
(1.00)
0.359
(1.00)
XQ GAIN MUTATION ANALYSIS 34 (21%) 128 0.827
(1.00)
0.067
(1.00)
0.613
(1.00)
0.226
(1.00)
0.448
(1.00)
0.637
(1.00)
0.121
(1.00)
0.307
(1.00)
0.345
(1.00)
0.778
(1.00)
0.517
(1.00)
1P LOSS MUTATION ANALYSIS 42 (26%) 120 0.462
(1.00)
0.495
(1.00)
0.926
(1.00)
0.841
(1.00)
0.566
(1.00)
0.822
(1.00)
0.284
(1.00)
0.0223
(1.00)
0.181
(1.00)
0.735
(1.00)
0.365
(1.00)
1Q LOSS MUTATION ANALYSIS 24 (15%) 138 0.78
(1.00)
0.798
(1.00)
0.329
(1.00)
0.76
(1.00)
0.222
(1.00)
0.276
(1.00)
0.119
(1.00)
0.218
(1.00)
0.0426
(1.00)
0.724
(1.00)
0.522
(1.00)
2P LOSS MUTATION ANALYSIS 11 (7%) 151 0.491
(1.00)
0.00112
(0.944)
0.347
(1.00)
0.614
(1.00)
0.491
(1.00)
1
(1.00)
0.551
(1.00)
0.592
(1.00)
0.349
(1.00)
0.705
(1.00)
0.878
(1.00)
3P LOSS MUTATION ANALYSIS 15 (9%) 147 0.14
(1.00)
0.718
(1.00)
0.0387
(1.00)
0.145
(1.00)
0.207
(1.00)
0.0201
(1.00)
0.0545
(1.00)
0.0794
(1.00)
0.0967
(1.00)
0.0119
(1.00)
0.0926
(1.00)
3Q LOSS MUTATION ANALYSIS 10 (6%) 152 0.0961
(1.00)
0.743
(1.00)
0.0298
(1.00)
0.4
(1.00)
0.166
(1.00)
0.0422
(1.00)
0.112
(1.00)
0.00297
(1.00)
0.0452
(1.00)
0.0177
(1.00)
0.158
(1.00)
4P LOSS MUTATION ANALYSIS 57 (35%) 105 0.416
(1.00)
0.722
(1.00)
0.534
(1.00)
0.478
(1.00)
0.447
(1.00)
0.98
(1.00)
0.328
(1.00)
0.545
(1.00)
0.0208
(1.00)
0.202
(1.00)
0.397
(1.00)
4Q LOSS MUTATION ANALYSIS 65 (40%) 97 0.18
(1.00)
0.832
(1.00)
0.485
(1.00)
0.482
(1.00)
0.807
(1.00)
0.8
(1.00)
0.262
(1.00)
0.252
(1.00)
0.0387
(1.00)
0.137
(1.00)
0.586
(1.00)
5P LOSS MUTATION ANALYSIS 25 (15%) 137 0.474
(1.00)
0.494
(1.00)
0.816
(1.00)
0.895
(1.00)
0.706
(1.00)
0.946
(1.00)
0.131
(1.00)
0.694
(1.00)
0.232
(1.00)
0.388
(1.00)
0.209
(1.00)
5Q LOSS MUTATION ANALYSIS 39 (24%) 123 0.542
(1.00)
0.631
(1.00)
0.748
(1.00)
0.805
(1.00)
1
(1.00)
0.688
(1.00)
0.464
(1.00)
0.19
(1.00)
0.00324
(1.00)
0.63
(1.00)
0.795
(1.00)
6P LOSS MUTATION ANALYSIS 14 (9%) 148 0.0137
(1.00)
0.701
(1.00)
0.131
(1.00)
0.367
(1.00)
0.0194
(1.00)
0.81
(1.00)
1
(1.00)
0.0794
(1.00)
0.424
(1.00)
0.453
(1.00)
0.951
(1.00)
6Q LOSS MUTATION ANALYSIS 22 (14%) 140 0.0823
(1.00)
0.837
(1.00)
0.0108
(1.00)
0.425
(1.00)
0.0717
(1.00)
1
(1.00)
0.176
(1.00)
0.0137
(1.00)
0.59
(1.00)
0.644
(1.00)
0.27
(1.00)
8P LOSS MUTATION ANALYSIS 74 (46%) 88 0.226
(1.00)
0.443
(1.00)
0.877
(1.00)
0.866
(1.00)
0.387
(1.00)
0.641
(1.00)
0.636
(1.00)
0.773
(1.00)
0.413
(1.00)
0.868
(1.00)
0.0377
(1.00)
8Q LOSS MUTATION ANALYSIS 11 (7%) 151 0.959
(1.00)
0.42
(1.00)
0.93
(1.00)
0.381
(1.00)
0.593
(1.00)
0.672
(1.00)
0.0672
(1.00)
0.601
(1.00)
1
(1.00)
1
(1.00)
0.649
(1.00)
9P LOSS MUTATION ANALYSIS 22 (14%) 140 0.0171
(1.00)
0.96
(1.00)
0.188
(1.00)
0.0921
(1.00)
1
(1.00)
0.0475
(1.00)
0.369
(1.00)
1
(1.00)
0.59
(1.00)
0.00975
(1.00)
0.635
(1.00)
9Q LOSS MUTATION ANALYSIS 21 (13%) 141 0.0154
(1.00)
0.716
(1.00)
0.416
(1.00)
0.0317
(1.00)
0.472
(1.00)
0.113
(1.00)
0.249
(1.00)
1
(1.00)
0.571
(1.00)
0.00975
(1.00)
0.126
(1.00)
10P LOSS MUTATION ANALYSIS 32 (20%) 130 0.0943
(1.00)
0.00151
(1.00)
0.589
(1.00)
0.809
(1.00)
0.677
(1.00)
0.296
(1.00)
0.558
(1.00)
0.0235
(1.00)
0.0144
(1.00)
0.252
(1.00)
0.592
(1.00)
10Q LOSS MUTATION ANALYSIS 37 (23%) 125 0.245
(1.00)
0.066
(1.00)
0.434
(1.00)
0.779
(1.00)
0.822
(1.00)
0.351
(1.00)
0.348
(1.00)
0.0773
(1.00)
0.0249
(1.00)
0.141
(1.00)
0.894
(1.00)
11P LOSS MUTATION ANALYSIS 24 (15%) 138 0.833
(1.00)
0.28
(1.00)
0.513
(1.00)
0.413
(1.00)
0.184
(1.00)
0.156
(1.00)
1
(1.00)
0.0898
(1.00)
0.217
(1.00)
0.316
(1.00)
0.0684
(1.00)
11Q LOSS MUTATION ANALYSIS 29 (18%) 133 0.19
(1.00)
0.653
(1.00)
0.791
(1.00)
0.803
(1.00)
0.858
(1.00)
0.173
(1.00)
1
(1.00)
0.037
(1.00)
0.0711
(1.00)
0.278
(1.00)
0.316
(1.00)
12P LOSS MUTATION ANALYSIS 23 (14%) 139 0.113
(1.00)
0.746
(1.00)
0.598
(1.00)
0.519
(1.00)
0.603
(1.00)
0.841
(1.00)
0.508
(1.00)
0.217
(1.00)
1
(1.00)
0.861
(1.00)
0.895
(1.00)
12Q LOSS MUTATION ANALYSIS 21 (13%) 141 0.0523
(1.00)
0.283
(1.00)
0.529
(1.00)
0.917
(1.00)
0.823
(1.00)
0.721
(1.00)
0.819
(1.00)
0.221
(1.00)
0.571
(1.00)
1
(1.00)
0.939
(1.00)
13Q LOSS MUTATION ANALYSIS 8 (5%) 154 0.31
(1.00)
0.582
(1.00)
0.494
(1.00)
0.469
(1.00)
0.35
(1.00)
0.171
(1.00)
1
(1.00)
0.135
(1.00)
1
(1.00)
0.61
(1.00)
0.445
(1.00)
14Q LOSS MUTATION ANALYSIS 64 (40%) 98 0.24
(1.00)
0.644
(1.00)
0.253
(1.00)
0.483
(1.00)
0.172
(1.00)
0.858
(1.00)
0.198
(1.00)
0.0159
(1.00)
0.681
(1.00)
0.269
(1.00)
0.841
(1.00)
15Q LOSS MUTATION ANALYSIS 70 (43%) 92 0.137
(1.00)
0.928
(1.00)
0.254
(1.00)
0.213
(1.00)
0.364
(1.00)
0.803
(1.00)
0.152
(1.00)
0.779
(1.00)
0.404
(1.00)
0.907
(1.00)
0.029
(1.00)
16P LOSS MUTATION ANALYSIS 9 (6%) 153 0.0164
(1.00)
0.254
(1.00)
0.0328
(1.00)
0.776
(1.00)
0.0918
(1.00)
1
(1.00)
0.733
(1.00)
0.51
(1.00)
1
(1.00)
1
(1.00)
0.58
(1.00)
16Q LOSS MUTATION ANALYSIS 15 (9%) 147 0.974
(1.00)
0.712
(1.00)
0.191
(1.00)
0.845
(1.00)
0.0117
(1.00)
0.904
(1.00)
0.593
(1.00)
1
(1.00)
0.447
(1.00)
0.736
(1.00)
0.219
(1.00)
17P LOSS MUTATION ANALYSIS 104 (64%) 58 0.785
(1.00)
0.115
(1.00)
0.554
(1.00)
0.0306
(1.00)
0.928
(1.00)
0.273
(1.00)
1
(1.00)
0.226
(1.00)
1
(1.00)
0.753
(1.00)
0.743
(1.00)
17Q LOSS MUTATION ANALYSIS 25 (15%) 137 0.548
(1.00)
0.596
(1.00)
0.639
(1.00)
0.601
(1.00)
0.598
(1.00)
0.655
(1.00)
0.383
(1.00)
0.693
(1.00)
0.232
(1.00)
0.329
(1.00)
0.718
(1.00)
18P LOSS MUTATION ANALYSIS 124 (77%) 38 0.775
(1.00)
0.208
(1.00)
0.46
(1.00)
0.351
(1.00)
0.597
(1.00)
0.285
(1.00)
0.854
(1.00)
0.0373
(1.00)
1
(1.00)
0.465
(1.00)
0.575
(1.00)
18Q LOSS MUTATION ANALYSIS 135 (83%) 27 0.976
(1.00)
0.148
(1.00)
0.314
(1.00)
0.0571
(1.00)
0.754
(1.00)
0.291
(1.00)
0.674
(1.00)
0.439
(1.00)
1
(1.00)
0.615
(1.00)
0.768
(1.00)
19P LOSS MUTATION ANALYSIS 23 (14%) 139 0.415
(1.00)
0.897
(1.00)
0.0118
(1.00)
0.393
(1.00)
0.416
(1.00)
0.794
(1.00)
0.508
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.305
(1.00)
19Q LOSS MUTATION ANALYSIS 20 (12%) 142 0.613
(1.00)
0.337
(1.00)
0.00468
(1.00)
0.236
(1.00)
0.437
(1.00)
0.934
(1.00)
0.473
(1.00)
1
(1.00)
0.552
(1.00)
0.673
(1.00)
0.332
(1.00)
20P LOSS MUTATION ANALYSIS 24 (15%) 138 0.665
(1.00)
0.932
(1.00)
0.0522
(1.00)
0.889
(1.00)
0.612
(1.00)
1
(1.00)
0.664
(1.00)
0.41
(1.00)
0.593
(1.00)
0.309
(1.00)
0.787
(1.00)
21Q LOSS MUTATION ANALYSIS 64 (40%) 98 0.852
(1.00)
0.38
(1.00)
0.524
(1.00)
0.193
(1.00)
0.164
(1.00)
0.643
(1.00)
0.872
(1.00)
0.252
(1.00)
0.681
(1.00)
0.462
(1.00)
0.0652
(1.00)
22Q LOSS MUTATION ANALYSIS 56 (35%) 106 0.00768
(1.00)
0.259
(1.00)
0.261
(1.00)
0.348
(1.00)
0.00805
(1.00)
0.518
(1.00)
0.623
(1.00)
1
(1.00)
0.417
(1.00)
0.642
(1.00)
0.429
(1.00)
XQ LOSS MUTATION ANALYSIS 25 (15%) 137 0.276
(1.00)
0.927
(1.00)
0.441
(1.00)
0.0659
(1.00)
0.322
(1.00)
0.596
(1.00)
0.282
(1.00)
0.424
(1.00)
1
(1.00)
0.364
(1.00)
0.692
(1.00)
'4P GAIN MUTATION STATUS' versus 'NUMBER.OF.LYMPH.NODES'

P value = 2.96e-05 (t-test), Q value = 0.025

Table S1.  Gene #7: '4P GAIN MUTATION STATUS' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

nPatients Mean (Std.Dev)
ALL 152 2.6 (5.4)
4P GAIN MUTATED 7 0.3 (0.8)
4P GAIN WILD-TYPE 145 2.7 (5.5)

Figure S1.  Get High-res Image Gene #7: '4P GAIN MUTATION STATUS' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

'2Q LOSS MUTATION STATUS' versus 'NUMBER.OF.LYMPH.NODES'

P value = 1.39e-08 (t-test), Q value = 1.2e-05

Table S2.  Gene #44: '2Q LOSS MUTATION STATUS' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

nPatients Mean (Std.Dev)
ALL 152 2.6 (5.4)
2Q LOSS MUTATED 6 0.0 (0.0)
2Q LOSS WILD-TYPE 146 2.7 (5.4)

Figure S2.  Get High-res Image Gene #44: '2Q LOSS MUTATION STATUS' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

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

  • Clinical data file = READ-TP.clin.merged.picked.txt

  • Number of patients = 162

  • Number of significantly arm-level cnvs = 77

  • Number of selected clinical features = 11

  • 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)