Correlation between copy number variations of arm-level result and selected clinical features
Colon 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/C1DJ5CXV
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 11 clinical features across 421 patients, 12 significant findings detected with Q value < 0.25.

  • 3P GAIN MUTATION ANALYSIS cnv correlated to 'PATHOLOGY.M.STAGE'.

  • 12Q GAIN MUTATION ANALYSIS cnv correlated to 'NUMBER.OF.LYMPH.NODES'.

  • 13Q GAIN MUTATION ANALYSIS cnv correlated to 'HISTOLOGICAL.TYPE'.

  • 14Q GAIN MUTATION ANALYSIS cnv correlated to 'PATHOLOGY.M.STAGE'.

  • 20Q GAIN MUTATION ANALYSIS cnv correlated to 'HISTOLOGICAL.TYPE'.

  • 4P LOSS MUTATION ANALYSIS cnv correlated to 'PATHOLOGY.M.STAGE'.

  • 5Q LOSS MUTATION ANALYSIS cnv correlated to 'PATHOLOGY.N.STAGE'.

  • 14Q LOSS MUTATION ANALYSIS cnv correlated to 'HISTOLOGICAL.TYPE'.

  • 17P LOSS MUTATION ANALYSIS cnv correlated to 'HISTOLOGICAL.TYPE'.

  • 18P LOSS MUTATION ANALYSIS cnv correlated to 'HISTOLOGICAL.TYPE'.

  • 18Q LOSS MUTATION ANALYSIS cnv correlated to 'HISTOLOGICAL.TYPE'.

  • 22Q LOSS MUTATION ANALYSIS cnv correlated to 'PATHOLOGY.N.STAGE'.

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 11 clinical features. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, 12 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 Chi-square test Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test t-test
3P GAIN MUTATION ANALYSIS 39 (9%) 382 0.242
(1.00)
0.0867
(1.00)
0.00131
(1.00)
0.906
(1.00)
0.196
(1.00)
5.57e-05
(0.048)
0.867
(1.00)
0.451
(1.00)
1
(1.00)
0.832
(1.00)
0.171
(1.00)
12Q GAIN MUTATION ANALYSIS 80 (19%) 341 0.879
(1.00)
0.0353
(1.00)
0.0208
(1.00)
0.437
(1.00)
0.0127
(1.00)
0.0131
(1.00)
1
(1.00)
0.36
(1.00)
1
(1.00)
0.371
(1.00)
6.71e-05
(0.0578)
13Q GAIN MUTATION ANALYSIS 243 (58%) 178 0.469
(1.00)
0.288
(1.00)
0.0171
(1.00)
0.988
(1.00)
0.016
(1.00)
0.0192
(1.00)
0.43
(1.00)
1.46e-06
(0.00127)
0.266
(1.00)
0.0415
(1.00)
0.75
(1.00)
14Q GAIN MUTATION ANALYSIS 34 (8%) 387 0.954
(1.00)
0.945
(1.00)
0.652
(1.00)
0.937
(1.00)
0.618
(1.00)
6.56e-05
(0.0565)
0.371
(1.00)
0.186
(1.00)
1
(1.00)
0.727
(1.00)
0.404
(1.00)
20Q GAIN MUTATION ANALYSIS 298 (71%) 123 0.753
(1.00)
0.257
(1.00)
0.00211
(1.00)
0.206
(1.00)
0.0585
(1.00)
0.00764
(1.00)
0.334
(1.00)
9.79e-06
(0.00847)
0.559
(1.00)
0.134
(1.00)
0.0892
(1.00)
4P LOSS MUTATION ANALYSIS 124 (29%) 297 0.052
(1.00)
0.699
(1.00)
0.00454
(1.00)
0.63
(1.00)
0.00169
(1.00)
0.000157
(0.135)
0.915
(1.00)
0.0104
(1.00)
0.0251
(1.00)
0.0301
(1.00)
0.0102
(1.00)
5Q LOSS MUTATION ANALYSIS 70 (17%) 351 0.198
(1.00)
0.203
(1.00)
0.0504
(1.00)
0.82
(1.00)
0.000197
(0.169)
0.0866
(1.00)
0.515
(1.00)
0.25
(1.00)
0.0731
(1.00)
0.602
(1.00)
0.00351
(1.00)
14Q LOSS MUTATION ANALYSIS 124 (29%) 297 0.194
(1.00)
0.836
(1.00)
0.161
(1.00)
0.658
(1.00)
0.111
(1.00)
0.0352
(1.00)
1
(1.00)
4.7e-05
(0.0406)
0.559
(1.00)
0.565
(1.00)
0.796
(1.00)
17P LOSS MUTATION ANALYSIS 216 (51%) 205 0.156
(1.00)
0.0669
(1.00)
0.000939
(0.792)
0.847
(1.00)
0.000566
(0.482)
0.00818
(1.00)
0.0977
(1.00)
1.08e-05
(0.00937)
0.249
(1.00)
0.0508
(1.00)
0.000929
(0.785)
18P LOSS MUTATION ANALYSIS 233 (55%) 188 0.619
(1.00)
0.0992
(1.00)
0.00136
(1.00)
0.949
(1.00)
0.00632
(1.00)
0.00304
(1.00)
0.556
(1.00)
3.8e-10
(3.3e-07)
0.257
(1.00)
0.0312
(1.00)
0.0253
(1.00)
18Q LOSS MUTATION ANALYSIS 250 (59%) 171 0.682
(1.00)
0.0782
(1.00)
0.000318
(0.272)
0.722
(1.00)
0.000687
(0.585)
0.0038
(1.00)
0.426
(1.00)
1.74e-09
(1.51e-06)
0.275
(1.00)
0.145
(1.00)
0.0787
(1.00)
22Q LOSS MUTATION ANALYSIS 131 (31%) 290 0.328
(1.00)
0.84
(1.00)
0.00411
(1.00)
0.575
(1.00)
0.000273
(0.235)
0.0182
(1.00)
0.675
(1.00)
0.00453
(1.00)
1
(1.00)
0.494
(1.00)
0.0104
(1.00)
1P GAIN MUTATION ANALYSIS 27 (6%) 394 0.431
(1.00)
0.242
(1.00)
0.909
(1.00)
0.953
(1.00)
0.722
(1.00)
0.357
(1.00)
0.557
(1.00)
0.556
(1.00)
0.181
(1.00)
0.0719
(1.00)
0.266
(1.00)
1Q GAIN MUTATION ANALYSIS 72 (17%) 349 0.608
(1.00)
0.709
(1.00)
0.0488
(1.00)
0.645
(1.00)
0.124
(1.00)
0.00305
(1.00)
0.156
(1.00)
0.249
(1.00)
0.431
(1.00)
0.059
(1.00)
0.105
(1.00)
2P GAIN MUTATION ANALYSIS 71 (17%) 350 0.326
(1.00)
0.662
(1.00)
0.268
(1.00)
0.576
(1.00)
0.366
(1.00)
0.681
(1.00)
0.605
(1.00)
0.0517
(1.00)
0.426
(1.00)
0.0959
(1.00)
0.718
(1.00)
2Q GAIN MUTATION ANALYSIS 67 (16%) 354 0.157
(1.00)
0.239
(1.00)
0.135
(1.00)
0.47
(1.00)
0.147
(1.00)
0.544
(1.00)
0.79
(1.00)
0.0739
(1.00)
0.406
(1.00)
0.146
(1.00)
0.535
(1.00)
3Q GAIN MUTATION ANALYSIS 56 (13%) 365 0.0714
(1.00)
0.213
(1.00)
0.0207
(1.00)
0.913
(1.00)
0.0896
(1.00)
0.00168
(1.00)
1
(1.00)
0.202
(1.00)
1
(1.00)
0.621
(1.00)
0.172
(1.00)
4P GAIN MUTATION ANALYSIS 6 (1%) 415 0.773
(1.00)
0.725
(1.00)
0.844
(1.00)
1
(1.00)
0.204
(1.00)
0.0553
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.794
(1.00)
4Q GAIN MUTATION ANALYSIS 11 (3%) 410 0.421
(1.00)
0.661
(1.00)
0.8
(1.00)
0.722
(1.00)
0.158
(1.00)
0.622
(1.00)
0.761
(1.00)
0.373
(1.00)
1
(1.00)
0.298
(1.00)
0.654
(1.00)
5P GAIN MUTATION ANALYSIS 62 (15%) 359 0.967
(1.00)
0.142
(1.00)
0.252
(1.00)
0.898
(1.00)
0.105
(1.00)
0.841
(1.00)
0.17
(1.00)
0.838
(1.00)
1
(1.00)
0.445
(1.00)
0.321
(1.00)
5Q GAIN MUTATION ANALYSIS 38 (9%) 383 0.598
(1.00)
0.931
(1.00)
0.825
(1.00)
0.894
(1.00)
0.529
(1.00)
0.952
(1.00)
0.734
(1.00)
0.451
(1.00)
1
(1.00)
0.368
(1.00)
0.996
(1.00)
6P GAIN MUTATION ANALYSIS 79 (19%) 342 0.444
(1.00)
0.715
(1.00)
0.247
(1.00)
0.831
(1.00)
0.0166
(1.00)
0.806
(1.00)
0.382
(1.00)
0.269
(1.00)
0.0064
(1.00)
0.54
(1.00)
0.0519
(1.00)
6Q GAIN MUTATION ANALYSIS 71 (17%) 350 0.577
(1.00)
0.442
(1.00)
0.123
(1.00)
1
(1.00)
0.02
(1.00)
0.645
(1.00)
0.796
(1.00)
0.25
(1.00)
0.00463
(1.00)
0.641
(1.00)
0.0801
(1.00)
7P GAIN MUTATION ANALYSIS 233 (55%) 188 0.777
(1.00)
0.208
(1.00)
0.000899
(0.761)
0.357
(1.00)
0.000337
(0.289)
0.0246
(1.00)
1
(1.00)
0.0193
(1.00)
0.257
(1.00)
0.202
(1.00)
0.0707
(1.00)
7Q GAIN MUTATION ANALYSIS 210 (50%) 211 0.607
(1.00)
0.103
(1.00)
0.0461
(1.00)
0.179
(1.00)
0.0281
(1.00)
0.0234
(1.00)
1
(1.00)
0.0421
(1.00)
0.623
(1.00)
0.36
(1.00)
0.209
(1.00)
8P GAIN MUTATION ANALYSIS 118 (28%) 303 0.384
(1.00)
0.503
(1.00)
0.504
(1.00)
0.93
(1.00)
0.7
(1.00)
0.871
(1.00)
0.829
(1.00)
0.198
(1.00)
0.191
(1.00)
0.565
(1.00)
0.219
(1.00)
8Q GAIN MUTATION ANALYSIS 206 (49%) 215 0.919
(1.00)
0.146
(1.00)
0.748
(1.00)
0.285
(1.00)
0.624
(1.00)
0.485
(1.00)
0.769
(1.00)
0.0293
(1.00)
0.116
(1.00)
0.273
(1.00)
0.554
(1.00)
9P GAIN MUTATION ANALYSIS 73 (17%) 348 0.0882
(1.00)
0.453
(1.00)
0.0542
(1.00)
0.626
(1.00)
0.0923
(1.00)
0.274
(1.00)
1
(1.00)
0.0545
(1.00)
1
(1.00)
0.772
(1.00)
0.145
(1.00)
9Q GAIN MUTATION ANALYSIS 65 (15%) 356 0.183
(1.00)
0.576
(1.00)
0.15
(1.00)
0.435
(1.00)
0.271
(1.00)
0.789
(1.00)
0.788
(1.00)
0.107
(1.00)
1
(1.00)
0.836
(1.00)
0.219
(1.00)
10P GAIN MUTATION ANALYSIS 31 (7%) 390 0.0945
(1.00)
0.395
(1.00)
0.723
(1.00)
0.297
(1.00)
0.0835
(1.00)
0.187
(1.00)
1
(1.00)
0.783
(1.00)
1
(1.00)
0.283
(1.00)
0.108
(1.00)
10Q GAIN MUTATION ANALYSIS 18 (4%) 403 0.629
(1.00)
0.0496
(1.00)
0.734
(1.00)
0.878
(1.00)
0.0528
(1.00)
0.433
(1.00)
0.631
(1.00)
0.718
(1.00)
1
(1.00)
0.561
(1.00)
0.111
(1.00)
11P GAIN MUTATION ANALYSIS 49 (12%) 372 0.933
(1.00)
0.0402
(1.00)
0.234
(1.00)
0.141
(1.00)
0.134
(1.00)
0.0619
(1.00)
1
(1.00)
0.0115
(1.00)
0.0369
(1.00)
0.379
(1.00)
0.243
(1.00)
11Q GAIN MUTATION ANALYSIS 48 (11%) 373 0.729
(1.00)
0.00295
(1.00)
0.16
(1.00)
0.403
(1.00)
0.0778
(1.00)
0.072
(1.00)
0.879
(1.00)
0.00112
(0.938)
0.0355
(1.00)
0.405
(1.00)
0.325
(1.00)
12P GAIN MUTATION ANALYSIS 87 (21%) 334 0.481
(1.00)
0.0818
(1.00)
0.148
(1.00)
0.375
(1.00)
0.154
(1.00)
0.0776
(1.00)
1
(1.00)
0.859
(1.00)
1
(1.00)
0.544
(1.00)
0.0402
(1.00)
15Q GAIN MUTATION ANALYSIS 12 (3%) 409 0.427
(1.00)
0.167
(1.00)
0.742
(1.00)
0.125
(1.00)
0.424
(1.00)
0.179
(1.00)
0.0743
(1.00)
1
(1.00)
1
(1.00)
0.056
(1.00)
0.527
(1.00)
16P GAIN MUTATION ANALYSIS 100 (24%) 321 0.696
(1.00)
0.0797
(1.00)
0.00677
(1.00)
0.986
(1.00)
0.00274
(1.00)
0.286
(1.00)
0.819
(1.00)
0.00587
(1.00)
0.558
(1.00)
0.939
(1.00)
0.13
(1.00)
16Q GAIN MUTATION ANALYSIS 96 (23%) 325 0.648
(1.00)
0.0287
(1.00)
0.00167
(1.00)
1
(1.00)
0.0032
(1.00)
0.313
(1.00)
0.485
(1.00)
0.00898
(1.00)
0.541
(1.00)
0.823
(1.00)
0.199
(1.00)
17P GAIN MUTATION ANALYSIS 21 (5%) 400 0.127
(1.00)
0.646
(1.00)
0.366
(1.00)
0.53
(1.00)
0.219
(1.00)
0.0266
(1.00)
0.373
(1.00)
0.747
(1.00)
1
(1.00)
0.451
(1.00)
0.695
(1.00)
17Q GAIN MUTATION ANALYSIS 67 (16%) 354 0.377
(1.00)
0.349
(1.00)
0.135
(1.00)
0.677
(1.00)
0.116
(1.00)
0.0039
(1.00)
0.689
(1.00)
0.168
(1.00)
0.406
(1.00)
0.513
(1.00)
0.678
(1.00)
18P GAIN MUTATION ANALYSIS 21 (5%) 400 0.971
(1.00)
0.505
(1.00)
0.0071
(1.00)
1
(1.00)
0.0623
(1.00)
0.00038
(0.325)
0.504
(1.00)
0.0122
(1.00)
1
(1.00)
0.524
(1.00)
0.114
(1.00)
18Q GAIN MUTATION ANALYSIS 13 (3%) 408 0.441
(1.00)
0.0604
(1.00)
0.807
(1.00)
0.763
(1.00)
0.275
(1.00)
0.976
(1.00)
0.587
(1.00)
0.0183
(1.00)
1
(1.00)
1
(1.00)
0.711
(1.00)
19P GAIN MUTATION ANALYSIS 65 (15%) 356 0.298
(1.00)
0.672
(1.00)
0.359
(1.00)
0.833
(1.00)
0.0755
(1.00)
0.00298
(1.00)
0.0303
(1.00)
0.0741
(1.00)
0.396
(1.00)
0.204
(1.00)
0.348
(1.00)
19Q GAIN MUTATION ANALYSIS 70 (17%) 351 0.331
(1.00)
0.644
(1.00)
0.606
(1.00)
0.993
(1.00)
0.373
(1.00)
0.00629
(1.00)
0.0894
(1.00)
0.846
(1.00)
0.421
(1.00)
0.207
(1.00)
0.884
(1.00)
20P GAIN MUTATION ANALYSIS 225 (53%) 196 0.304
(1.00)
0.715
(1.00)
0.000434
(0.371)
0.85
(1.00)
0.191
(1.00)
0.00141
(1.00)
0.142
(1.00)
0.00131
(1.00)
0.252
(1.00)
0.0693
(1.00)
0.252
(1.00)
21Q GAIN MUTATION ANALYSIS 21 (5%) 400 0.155
(1.00)
0.00097
(0.816)
0.722
(1.00)
0.137
(1.00)
0.472
(1.00)
0.735
(1.00)
1
(1.00)
0.736
(1.00)
1
(1.00)
0.39
(1.00)
0.944
(1.00)
22Q GAIN MUTATION ANALYSIS 12 (3%) 409 0.362
(1.00)
0.427
(1.00)
0.882
(1.00)
0.694
(1.00)
1
(1.00)
0.186
(1.00)
0.778
(1.00)
0.38
(1.00)
0.0833
(1.00)
0.345
(1.00)
0.375
(1.00)
XQ GAIN MUTATION ANALYSIS 73 (17%) 348 0.98
(1.00)
0.571
(1.00)
0.311
(1.00)
0.0189
(1.00)
0.69
(1.00)
0.205
(1.00)
0.798
(1.00)
0.251
(1.00)
0.436
(1.00)
0.559
(1.00)
0.891
(1.00)
1P LOSS MUTATION ANALYSIS 86 (20%) 335 0.0256
(1.00)
0.496
(1.00)
0.0116
(1.00)
0.796
(1.00)
0.000514
(0.438)
0.00137
(1.00)
1
(1.00)
0.285
(1.00)
1
(1.00)
0.247
(1.00)
0.00821
(1.00)
1Q LOSS MUTATION ANALYSIS 49 (12%) 372 0.121
(1.00)
0.752
(1.00)
0.12
(1.00)
1
(1.00)
0.0112
(1.00)
0.159
(1.00)
0.447
(1.00)
1
(1.00)
1
(1.00)
0.483
(1.00)
0.0443
(1.00)
2P LOSS MUTATION ANALYSIS 6 (1%) 415 0.000958
(0.807)
0.756
(1.00)
0.711
(1.00)
0.837
(1.00)
0.85
(1.00)
0.761
(1.00)
0.222
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.796
(1.00)
2Q LOSS MUTATION ANALYSIS 7 (2%) 414 0.000958
(0.807)
0.745
(1.00)
0.761
(1.00)
0.869
(1.00)
1
(1.00)
0.703
(1.00)
0.128
(1.00)
0.601
(1.00)
1
(1.00)
1
(1.00)
0.527
(1.00)
3P LOSS MUTATION ANALYSIS 46 (11%) 375 0.162
(1.00)
0.831
(1.00)
0.353
(1.00)
0.115
(1.00)
0.144
(1.00)
0.0107
(1.00)
0.877
(1.00)
0.244
(1.00)
1
(1.00)
0.77
(1.00)
0.629
(1.00)
3Q LOSS MUTATION ANALYSIS 28 (7%) 393 0.846
(1.00)
0.518
(1.00)
0.718
(1.00)
0.388
(1.00)
0.963
(1.00)
0.595
(1.00)
0.701
(1.00)
0.56
(1.00)
1
(1.00)
0.92
(1.00)
0.289
(1.00)
4Q LOSS MUTATION ANALYSIS 110 (26%) 311 0.0743
(1.00)
0.673
(1.00)
0.0541
(1.00)
0.651
(1.00)
0.00244
(1.00)
0.0534
(1.00)
0.739
(1.00)
0.0986
(1.00)
0.0175
(1.00)
0.526
(1.00)
0.0249
(1.00)
5P LOSS MUTATION ANALYSIS 51 (12%) 370 0.643
(1.00)
0.252
(1.00)
0.00851
(1.00)
0.426
(1.00)
0.00376
(1.00)
0.129
(1.00)
0.882
(1.00)
0.276
(1.00)
0.0399
(1.00)
0.509
(1.00)
0.0474
(1.00)
6P LOSS MUTATION ANALYSIS 34 (8%) 387 0.394
(1.00)
0.204
(1.00)
0.967
(1.00)
0.0261
(1.00)
0.683
(1.00)
0.314
(1.00)
0.371
(1.00)
0.791
(1.00)
1
(1.00)
0.121
(1.00)
0.804
(1.00)
6Q LOSS MUTATION ANALYSIS 45 (11%) 376 0.22
(1.00)
0.712
(1.00)
0.395
(1.00)
0.0804
(1.00)
0.145
(1.00)
0.0125
(1.00)
0.636
(1.00)
0.64
(1.00)
1
(1.00)
0.173
(1.00)
0.0883
(1.00)
7Q LOSS MUTATION ANALYSIS 3 (1%) 418 0.568
(1.00)
0.131
(1.00)
0.421
(1.00)
0.675
(1.00)
1
(1.00)
0.921
(1.00)
0.6
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.011
(1.00)
8P LOSS MUTATION ANALYSIS 134 (32%) 287 0.474
(1.00)
0.466
(1.00)
0.0255
(1.00)
0.274
(1.00)
0.000828
(0.701)
0.0208
(1.00)
0.294
(1.00)
0.119
(1.00)
1
(1.00)
0.0774
(1.00)
0.00262
(1.00)
8Q LOSS MUTATION ANALYSIS 25 (6%) 396 0.54
(1.00)
0.643
(1.00)
0.126
(1.00)
0.0355
(1.00)
0.0434
(1.00)
0.0728
(1.00)
0.839
(1.00)
0.555
(1.00)
1
(1.00)
0.683
(1.00)
0.187
(1.00)
9P LOSS MUTATION ANALYSIS 48 (11%) 373 0.205
(1.00)
0.273
(1.00)
0.975
(1.00)
0.164
(1.00)
0.291
(1.00)
0.614
(1.00)
0.54
(1.00)
0.173
(1.00)
1
(1.00)
0.509
(1.00)
0.411
(1.00)
9Q LOSS MUTATION ANALYSIS 47 (11%) 374 0.0794
(1.00)
0.0394
(1.00)
0.845
(1.00)
0.175
(1.00)
0.196
(1.00)
0.382
(1.00)
0.758
(1.00)
0.0652
(1.00)
1
(1.00)
0.495
(1.00)
0.605
(1.00)
10P LOSS MUTATION ANALYSIS 62 (15%) 359 0.908
(1.00)
0.24
(1.00)
0.000771
(0.655)
0.992
(1.00)
0.00399
(1.00)
0.00188
(1.00)
0.583
(1.00)
0.838
(1.00)
0.058
(1.00)
0.403
(1.00)
0.0844
(1.00)
10Q LOSS MUTATION ANALYSIS 65 (15%) 356 0.658
(1.00)
0.118
(1.00)
0.0136
(1.00)
0.91
(1.00)
0.0245
(1.00)
0.0181
(1.00)
0.5
(1.00)
0.69
(1.00)
0.0635
(1.00)
0.157
(1.00)
0.2
(1.00)
11P LOSS MUTATION ANALYSIS 47 (11%) 374 0.87
(1.00)
0.635
(1.00)
0.691
(1.00)
0.439
(1.00)
0.0175
(1.00)
0.0337
(1.00)
0.877
(1.00)
1
(1.00)
0.3
(1.00)
0.21
(1.00)
0.121
(1.00)
11Q LOSS MUTATION ANALYSIS 56 (13%) 365 0.581
(1.00)
0.573
(1.00)
0.456
(1.00)
0.0454
(1.00)
0.02
(1.00)
0.0357
(1.00)
0.666
(1.00)
1
(1.00)
0.349
(1.00)
0.405
(1.00)
0.248
(1.00)
12P LOSS MUTATION ANALYSIS 36 (9%) 385 0.691
(1.00)
0.621
(1.00)
0.457
(1.00)
0.639
(1.00)
0.0824
(1.00)
0.312
(1.00)
0.728
(1.00)
0.00827
(1.00)
0.236
(1.00)
0.84
(1.00)
0.554
(1.00)
12Q LOSS MUTATION ANALYSIS 39 (9%) 382 0.986
(1.00)
0.582
(1.00)
0.318
(1.00)
0.632
(1.00)
0.0542
(1.00)
0.175
(1.00)
0.4
(1.00)
0.0437
(1.00)
1
(1.00)
0.851
(1.00)
0.427
(1.00)
13Q LOSS MUTATION ANALYSIS 10 (2%) 411 0.901
(1.00)
0.641
(1.00)
0.487
(1.00)
0.364
(1.00)
0.0135
(1.00)
0.542
(1.00)
0.757
(1.00)
0.101
(1.00)
1
(1.00)
0.726
(1.00)
0.133
(1.00)
15Q LOSS MUTATION ANALYSIS 139 (33%) 282 0.351
(1.00)
0.906
(1.00)
0.128
(1.00)
0.647
(1.00)
0.0548
(1.00)
0.0673
(1.00)
0.836
(1.00)
0.00526
(1.00)
0.0355
(1.00)
0.571
(1.00)
0.494
(1.00)
16P LOSS MUTATION ANALYSIS 22 (5%) 399 0.269
(1.00)
0.737
(1.00)
0.399
(1.00)
0.481
(1.00)
0.565
(1.00)
0.696
(1.00)
0.274
(1.00)
0.189
(1.00)
1
(1.00)
0.876
(1.00)
0.759
(1.00)
16Q LOSS MUTATION ANALYSIS 22 (5%) 399 0.548
(1.00)
0.552
(1.00)
0.761
(1.00)
0.702
(1.00)
0.361
(1.00)
0.5
(1.00)
0.828
(1.00)
0.512
(1.00)
1
(1.00)
1
(1.00)
0.714
(1.00)
17Q LOSS MUTATION ANALYSIS 63 (15%) 358 0.753
(1.00)
0.85
(1.00)
0.0409
(1.00)
0.947
(1.00)
0.016
(1.00)
0.234
(1.00)
0.412
(1.00)
1
(1.00)
1
(1.00)
0.403
(1.00)
0.0484
(1.00)
19P LOSS MUTATION ANALYSIS 37 (9%) 384 0.516
(1.00)
0.376
(1.00)
0.00263
(1.00)
0.956
(1.00)
0.00354
(1.00)
0.000726
(0.617)
0.606
(1.00)
0.449
(1.00)
0.242
(1.00)
0.266
(1.00)
0.00569
(1.00)
19Q LOSS MUTATION ANALYSIS 34 (8%) 387 0.938
(1.00)
0.463
(1.00)
0.00518
(1.00)
1
(1.00)
0.00839
(1.00)
0.000791
(0.67)
0.285
(1.00)
0.787
(1.00)
0.224
(1.00)
0.146
(1.00)
0.00997
(1.00)
20P LOSS MUTATION ANALYSIS 43 (10%) 378 0.963
(1.00)
0.844
(1.00)
0.247
(1.00)
0.803
(1.00)
0.389
(1.00)
0.854
(1.00)
0.75
(1.00)
0.633
(1.00)
1
(1.00)
0.945
(1.00)
0.217
(1.00)
20Q LOSS MUTATION ANALYSIS 6 (1%) 415 0.11
(1.00)
0.025
(1.00)
0.871
(1.00)
0.496
(1.00)
0.367
(1.00)
0.873
(1.00)
0.69
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.915
(1.00)
21Q LOSS MUTATION ANALYSIS 113 (27%) 308 0.578
(1.00)
0.847
(1.00)
0.585
(1.00)
0.457
(1.00)
0.0266
(1.00)
0.195
(1.00)
1
(1.00)
0.033
(1.00)
1
(1.00)
0.766
(1.00)
0.0144
(1.00)
XQ LOSS MUTATION ANALYSIS 50 (12%) 371 0.987
(1.00)
0.225
(1.00)
0.0988
(1.00)
0.553
(1.00)
0.0277
(1.00)
0.0194
(1.00)
0.366
(1.00)
0.656
(1.00)
1
(1.00)
0.0987
(1.00)
0.186
(1.00)
'3P GAIN MUTATION STATUS' versus 'PATHOLOGY.M.STAGE'

P value = 5.57e-05 (Chi-square test), Q value = 0.048

Table S1.  Gene #5: '3P GAIN MUTATION STATUS' versus Clinical Feature #6: 'PATHOLOGY.M.STAGE'

nPatients M0 M1 M1A M1B MX
ALL 317 50 7 1 39
3P GAIN MUTATED 22 4 1 1 10
3P GAIN WILD-TYPE 295 46 6 0 29

Figure S1.  Get High-res Image Gene #5: '3P GAIN MUTATION STATUS' versus Clinical Feature #6: 'PATHOLOGY.M.STAGE'

'12Q GAIN MUTATION STATUS' versus 'NUMBER.OF.LYMPH.NODES'

P value = 6.71e-05 (t-test), Q value = 0.058

Table S2.  Gene #24: '12Q GAIN MUTATION STATUS' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

nPatients Mean (Std.Dev)
ALL 397 2.1 (4.5)
12Q GAIN MUTATED 76 0.9 (1.8)
12Q GAIN WILD-TYPE 321 2.3 (4.9)

Figure S2.  Get High-res Image Gene #24: '12Q GAIN MUTATION STATUS' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

'13Q GAIN MUTATION STATUS' versus 'HISTOLOGICAL.TYPE'

P value = 1.46e-06 (Fisher's exact test), Q value = 0.0013

Table S3.  Gene #25: '13Q GAIN MUTATION STATUS' versus Clinical Feature #8: 'HISTOLOGICAL.TYPE'

nPatients COLON ADENOCARCINOMA COLON MUCINOUS ADENOCARCINOMA
ALL 364 55
13Q GAIN MUTATED 227 15
13Q GAIN WILD-TYPE 137 40

Figure S3.  Get High-res Image Gene #25: '13Q GAIN MUTATION STATUS' versus Clinical Feature #8: 'HISTOLOGICAL.TYPE'

'14Q GAIN MUTATION STATUS' versus 'PATHOLOGY.M.STAGE'

P value = 6.56e-05 (Chi-square test), Q value = 0.057

Table S4.  Gene #26: '14Q GAIN MUTATION STATUS' versus Clinical Feature #6: 'PATHOLOGY.M.STAGE'

nPatients M0 M1 M1A M1B MX
ALL 317 50 7 1 39
14Q GAIN MUTATED 22 3 4 0 5
14Q GAIN WILD-TYPE 295 47 3 1 34

Figure S4.  Get High-res Image Gene #26: '14Q GAIN MUTATION STATUS' versus Clinical Feature #6: 'PATHOLOGY.M.STAGE'

'20Q GAIN MUTATION STATUS' versus 'HISTOLOGICAL.TYPE'

P value = 9.79e-06 (Fisher's exact test), Q value = 0.0085

Table S5.  Gene #37: '20Q GAIN MUTATION STATUS' versus Clinical Feature #8: 'HISTOLOGICAL.TYPE'

nPatients COLON ADENOCARCINOMA COLON MUCINOUS ADENOCARCINOMA
ALL 364 55
20Q GAIN MUTATED 272 24
20Q GAIN WILD-TYPE 92 31

Figure S5.  Get High-res Image Gene #37: '20Q GAIN MUTATION STATUS' versus Clinical Feature #8: 'HISTOLOGICAL.TYPE'

'4P LOSS MUTATION STATUS' versus 'PATHOLOGY.M.STAGE'

P value = 0.000157 (Chi-square test), Q value = 0.14

Table S6.  Gene #47: '4P LOSS MUTATION STATUS' versus Clinical Feature #6: 'PATHOLOGY.M.STAGE'

nPatients M0 M1 M1A M1B MX
ALL 317 50 7 1 39
4P LOSS MUTATED 76 27 3 1 13
4P LOSS WILD-TYPE 241 23 4 0 26

Figure S6.  Get High-res Image Gene #47: '4P LOSS MUTATION STATUS' versus Clinical Feature #6: 'PATHOLOGY.M.STAGE'

'5Q LOSS MUTATION STATUS' versus 'PATHOLOGY.N.STAGE'

P value = 0.000197 (Fisher's exact test), Q value = 0.17

Table S7.  Gene #50: '5Q LOSS MUTATION STATUS' versus Clinical Feature #5: 'PATHOLOGY.N.STAGE'

nPatients N0 N1 N2
ALL 246 100 74
5Q LOSS MUTATED 28 18 24
5Q LOSS WILD-TYPE 218 82 50

Figure S7.  Get High-res Image Gene #50: '5Q LOSS MUTATION STATUS' versus Clinical Feature #5: 'PATHOLOGY.N.STAGE'

'14Q LOSS MUTATION STATUS' versus 'HISTOLOGICAL.TYPE'

P value = 4.7e-05 (Fisher's exact test), Q value = 0.041

Table S8.  Gene #65: '14Q LOSS MUTATION STATUS' versus Clinical Feature #8: 'HISTOLOGICAL.TYPE'

nPatients COLON ADENOCARCINOMA COLON MUCINOUS ADENOCARCINOMA
ALL 364 55
14Q LOSS MUTATED 118 4
14Q LOSS WILD-TYPE 246 51

Figure S8.  Get High-res Image Gene #65: '14Q LOSS MUTATION STATUS' versus Clinical Feature #8: 'HISTOLOGICAL.TYPE'

'17P LOSS MUTATION STATUS' versus 'HISTOLOGICAL.TYPE'

P value = 1.08e-05 (Fisher's exact test), Q value = 0.0094

Table S9.  Gene #69: '17P LOSS MUTATION STATUS' versus Clinical Feature #8: 'HISTOLOGICAL.TYPE'

nPatients COLON ADENOCARCINOMA COLON MUCINOUS ADENOCARCINOMA
ALL 364 55
17P LOSS MUTATED 201 13
17P LOSS WILD-TYPE 163 42

Figure S9.  Get High-res Image Gene #69: '17P LOSS MUTATION STATUS' versus Clinical Feature #8: 'HISTOLOGICAL.TYPE'

'18P LOSS MUTATION STATUS' versus 'HISTOLOGICAL.TYPE'

P value = 3.8e-10 (Fisher's exact test), Q value = 3.3e-07

Table S10.  Gene #71: '18P LOSS MUTATION STATUS' versus Clinical Feature #8: 'HISTOLOGICAL.TYPE'

nPatients COLON ADENOCARCINOMA COLON MUCINOUS ADENOCARCINOMA
ALL 364 55
18P LOSS MUTATED 222 9
18P LOSS WILD-TYPE 142 46

Figure S10.  Get High-res Image Gene #71: '18P LOSS MUTATION STATUS' versus Clinical Feature #8: 'HISTOLOGICAL.TYPE'

'18Q LOSS MUTATION STATUS' versus 'HISTOLOGICAL.TYPE'

P value = 1.74e-09 (Fisher's exact test), Q value = 1.5e-06

Table S11.  Gene #72: '18Q LOSS MUTATION STATUS' versus Clinical Feature #8: 'HISTOLOGICAL.TYPE'

nPatients COLON ADENOCARCINOMA COLON MUCINOUS ADENOCARCINOMA
ALL 364 55
18Q LOSS MUTATED 237 12
18Q LOSS WILD-TYPE 127 43

Figure S11.  Get High-res Image Gene #72: '18Q LOSS MUTATION STATUS' versus Clinical Feature #8: 'HISTOLOGICAL.TYPE'

'22Q LOSS MUTATION STATUS' versus 'PATHOLOGY.N.STAGE'

P value = 0.000273 (Fisher's exact test), Q value = 0.23

Table S12.  Gene #78: '22Q LOSS MUTATION STATUS' versus Clinical Feature #5: 'PATHOLOGY.N.STAGE'

nPatients N0 N1 N2
ALL 246 100 74
22Q LOSS MUTATED 58 40 33
22Q LOSS WILD-TYPE 188 60 41

Figure S12.  Get High-res Image Gene #78: '22Q LOSS MUTATION STATUS' versus Clinical Feature #5: 'PATHOLOGY.N.STAGE'

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

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

  • Number of patients = 421

  • Number of significantly arm-level cnvs = 79

  • 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)