Correlation between copy number variation genes (focal events) and selected clinical features
Glioblastoma Multiforme (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 variation genes (focal events) and selected clinical features. Broad Institute of MIT and Harvard. doi:10.7908/C1WH2ND9
Overview
Introduction

This pipeline computes the correlation between significant copy number variation (cnv focal) genes and selected clinical features.

Summary

Testing the association between copy number variation 68 focal events and 6 clinical features across 553 patients, 18 significant findings detected with Q value < 0.25.

  • amp_7p11.2 cnv correlated to 'Time to Death' and 'AGE'.

  • amp_7q11.21 cnv correlated to 'Time to Death' and 'AGE'.

  • amp_7q21.2 cnv correlated to 'Time to Death' and 'AGE'.

  • amp_7q31.2 cnv correlated to 'AGE'.

  • del_9p21.3 cnv correlated to 'AGE'.

  • del_10p15.3 cnv correlated to 'Time to Death' and 'AGE'.

  • del_10p13 cnv correlated to 'Time to Death' and 'AGE'.

  • del_10p11.23 cnv correlated to 'Time to Death',  'AGE', and 'HISTOLOGICAL.TYPE'.

  • del_10q23.31 cnv correlated to 'Time to Death' and 'AGE'.

  • del_10q26.3 cnv correlated to 'AGE'.

Results
Overview of the results

Table 1.  Get Full Table Overview of the association between significant copy number variation of 68 focal events and 6 clinical features. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, 18 significant findings detected.

Clinical
Features
Time
to
Death
AGE GENDER KARNOFSKY
PERFORMANCE
SCORE
HISTOLOGICAL
TYPE
RADIATIONS
RADIATION
REGIMENINDICATION
nCNV (%) nWild-Type logrank test t-test Fisher's exact test t-test Fisher's exact test Fisher's exact test
del 10p11 23 455 (82%) 98 9.13e-08
(3.69e-05)
1.06e-08
(4.33e-06)
0.171
(1.00)
0.244
(1.00)
0.000576
(0.225)
0.81
(1.00)
amp 7p11 2 485 (88%) 68 3.9e-07
(0.000157)
1.4e-09
(5.72e-07)
0.428
(1.00)
0.0373
(1.00)
0.0194
(1.00)
0.0949
(1.00)
amp 7q11 21 444 (80%) 109 2.87e-05
(0.0114)
5.93e-08
(2.4e-05)
0.276
(1.00)
0.679
(1.00)
0.00207
(0.804)
0.133
(1.00)
amp 7q21 2 458 (83%) 95 0.000303
(0.119)
9.4e-06
(0.00374)
0.566
(1.00)
0.491
(1.00)
0.0207
(1.00)
0.223
(1.00)
del 10p15 3 449 (81%) 104 1.91e-06
(0.000765)
3.76e-08
(1.53e-05)
0.121
(1.00)
0.617
(1.00)
0.00306
(1.00)
0.64
(1.00)
del 10p13 451 (82%) 102 1.27e-06
(0.000508)
1.82e-07
(7.33e-05)
0.0564
(1.00)
0.86
(1.00)
0.00228
(0.883)
0.906
(1.00)
del 10q23 31 491 (89%) 62 1.08e-05
(0.00429)
6.33e-06
(0.00253)
0.681
(1.00)
0.0789
(1.00)
0.00239
(0.922)
1
(1.00)
amp 7q31 2 451 (82%) 102 0.0039
(1.00)
0.000444
(0.174)
0.433
(1.00)
0.721
(1.00)
0.0222
(1.00)
0.0764
(1.00)
del 9p21 3 402 (73%) 151 0.023
(1.00)
0.000304
(0.119)
0.558
(1.00)
0.096
(1.00)
0.176
(1.00)
0.471
(1.00)
del 10q26 3 492 (89%) 61 0.00133
(0.517)
5.9e-05
(0.0233)
0.582
(1.00)
0.0647
(1.00)
0.006
(1.00)
1
(1.00)
amp 1p36 21 91 (16%) 462 0.0364
(1.00)
0.226
(1.00)
0.483
(1.00)
0.423
(1.00)
0.208
(1.00)
1
(1.00)
amp 1q32 1 152 (27%) 401 0.506
(1.00)
0.202
(1.00)
0.846
(1.00)
0.273
(1.00)
0.554
(1.00)
0.757
(1.00)
amp 1q44 97 (18%) 456 0.298
(1.00)
0.939
(1.00)
0.304
(1.00)
0.598
(1.00)
0.447
(1.00)
0.717
(1.00)
amp 2p24 3 48 (9%) 505 0.308
(1.00)
0.24
(1.00)
0.357
(1.00)
0.929
(1.00)
0.867
(1.00)
0.871
(1.00)
amp 3q26 33 108 (20%) 445 0.16
(1.00)
0.0116
(1.00)
0.585
(1.00)
0.888
(1.00)
0.0184
(1.00)
0.728
(1.00)
amp 4p16 3 47 (8%) 506 0.981
(1.00)
0.723
(1.00)
0.28
(1.00)
0.439
(1.00)
1
(1.00)
0.742
(1.00)
amp 4q12 104 (19%) 449 0.338
(1.00)
0.342
(1.00)
0.436
(1.00)
0.737
(1.00)
0.281
(1.00)
0.289
(1.00)
amp 8q24 21 68 (12%) 485 0.414
(1.00)
0.183
(1.00)
0.428
(1.00)
0.895
(1.00)
0.719
(1.00)
0.781
(1.00)
amp 11p13 29 (5%) 524 0.971
(1.00)
0.435
(1.00)
0.847
(1.00)
0.691
(1.00)
0.564
(1.00)
1
(1.00)
amp 12p13 32 82 (15%) 471 0.811
(1.00)
0.0917
(1.00)
1
(1.00)
0.99
(1.00)
1
(1.00)
0.606
(1.00)
amp 12q14 1 131 (24%) 422 0.423
(1.00)
0.521
(1.00)
0.413
(1.00)
0.687
(1.00)
0.878
(1.00)
1
(1.00)
amp 12q15 91 (16%) 462 0.807
(1.00)
0.664
(1.00)
0.412
(1.00)
0.762
(1.00)
0.769
(1.00)
0.385
(1.00)
amp 13q34 31 (6%) 522 0.803
(1.00)
0.639
(1.00)
0.454
(1.00)
0.858
(1.00)
0.345
(1.00)
0.69
(1.00)
amp 14q32 33 36 (7%) 517 0.401
(1.00)
0.0205
(1.00)
0.485
(1.00)
0.276
(1.00)
0.0782
(1.00)
1
(1.00)
amp 17p13 2 48 (9%) 505 0.802
(1.00)
0.951
(1.00)
0.164
(1.00)
0.631
(1.00)
0.867
(1.00)
0.744
(1.00)
amp 17q25 1 79 (14%) 474 0.0355
(1.00)
0.0251
(1.00)
0.137
(1.00)
0.739
(1.00)
1
(1.00)
0.694
(1.00)
amp 19p13 2 239 (43%) 314 0.166
(1.00)
0.486
(1.00)
1
(1.00)
0.47
(1.00)
0.588
(1.00)
0.853
(1.00)
amp 19q12 205 (37%) 348 0.463
(1.00)
0.298
(1.00)
0.472
(1.00)
0.881
(1.00)
0.815
(1.00)
0.703
(1.00)
amp 21q21 1 66 (12%) 487 0.478
(1.00)
0.00861
(1.00)
0.79
(1.00)
0.419
(1.00)
0.128
(1.00)
0.479
(1.00)
del 1p36 32 95 (17%) 458 0.906
(1.00)
0.72
(1.00)
0.0374
(1.00)
0.979
(1.00)
0.272
(1.00)
1
(1.00)
del 1p36 23 131 (24%) 422 0.494
(1.00)
0.0207
(1.00)
0.0105
(1.00)
0.203
(1.00)
0.185
(1.00)
0.516
(1.00)
del 1p32 3 59 (11%) 494 0.712
(1.00)
0.0493
(1.00)
0.159
(1.00)
0.528
(1.00)
0.776
(1.00)
0.101
(1.00)
del 1p22 1 46 (8%) 507 0.45
(1.00)
0.337
(1.00)
0.755
(1.00)
0.576
(1.00)
0.0948
(1.00)
0.509
(1.00)
del 1q42 11 46 (8%) 507 0.0446
(1.00)
0.0388
(1.00)
1
(1.00)
0.0106
(1.00)
1
(1.00)
0.243
(1.00)
del 1q44 32 (6%) 521 0.303
(1.00)
0.207
(1.00)
1
(1.00)
0.0693
(1.00)
1
(1.00)
1
(1.00)
del 2q22 1 43 (8%) 510 0.526
(1.00)
0.324
(1.00)
0.333
(1.00)
0.673
(1.00)
0.495
(1.00)
0.122
(1.00)
del 2q37 1 53 (10%) 500 0.836
(1.00)
0.342
(1.00)
0.141
(1.00)
0.51
(1.00)
1
(1.00)
0.275
(1.00)
del 3p21 1 52 (9%) 501 0.0252
(1.00)
0.012
(1.00)
0.883
(1.00)
0.714
(1.00)
0.419
(1.00)
0.0593
(1.00)
del 3q13 31 55 (10%) 498 0.447
(1.00)
0.0636
(1.00)
0.383
(1.00)
0.316
(1.00)
0.665
(1.00)
0.166
(1.00)
del 3q22 1 55 (10%) 498 0.547
(1.00)
0.137
(1.00)
1
(1.00)
0.503
(1.00)
0.665
(1.00)
0.442
(1.00)
del 3q29 63 (11%) 490 0.214
(1.00)
0.25
(1.00)
1
(1.00)
0.473
(1.00)
1
(1.00)
0.246
(1.00)
del 4p16 3 75 (14%) 478 0.412
(1.00)
0.0342
(1.00)
0.256
(1.00)
0.169
(1.00)
0.385
(1.00)
0.107
(1.00)
del 4q34 3 87 (16%) 466 0.183
(1.00)
0.142
(1.00)
0.0556
(1.00)
0.606
(1.00)
0.444
(1.00)
0.1
(1.00)
del 5q35 3 52 (9%) 501 0.0478
(1.00)
0.11
(1.00)
1
(1.00)
0.606
(1.00)
1
(1.00)
0.431
(1.00)
del 6q22 31 151 (27%) 402 0.0664
(1.00)
0.252
(1.00)
0.118
(1.00)
0.399
(1.00)
0.0636
(1.00)
0.758
(1.00)
del 6q26 172 (31%) 381 0.138
(1.00)
0.971
(1.00)
0.26
(1.00)
0.732
(1.00)
0.0986
(1.00)
0.552
(1.00)
del 8p23 2 64 (12%) 489 0.234
(1.00)
0.0468
(1.00)
0.497
(1.00)
0.55
(1.00)
0.888
(1.00)
0.668
(1.00)
del 9q34 2 72 (13%) 481 0.522
(1.00)
0.691
(1.00)
1
(1.00)
0.493
(1.00)
0.895
(1.00)
1
(1.00)
del 11p15 5 125 (23%) 428 0.0148
(1.00)
0.00238
(0.922)
0.177
(1.00)
0.141
(1.00)
0.5
(1.00)
0.743
(1.00)
del 11p11 2 101 (18%) 452 0.0531
(1.00)
0.474
(1.00)
0.177
(1.00)
0.551
(1.00)
0.226
(1.00)
0.905
(1.00)
del 11q14 1 94 (17%) 459 0.991
(1.00)
0.776
(1.00)
0.297
(1.00)
0.757
(1.00)
0.399
(1.00)
0.111
(1.00)
del 12p13 1 71 (13%) 482 0.135
(1.00)
0.631
(1.00)
0.438
(1.00)
0.448
(1.00)
0.809
(1.00)
0.492
(1.00)
del 12q12 74 (13%) 479 0.459
(1.00)
0.81
(1.00)
0.898
(1.00)
0.89
(1.00)
1
(1.00)
0.419
(1.00)
del 13q14 2 233 (42%) 320 0.709
(1.00)
0.593
(1.00)
0.792
(1.00)
0.789
(1.00)
0.584
(1.00)
0.514
(1.00)
del 14q13 1 170 (31%) 383 0.749
(1.00)
0.643
(1.00)
0.157
(1.00)
0.175
(1.00)
0.0875
(1.00)
0.487
(1.00)
del 14q24 2 166 (30%) 387 0.581
(1.00)
0.24
(1.00)
0.298
(1.00)
0.466
(1.00)
0.0624
(1.00)
0.422
(1.00)
del 15q14 145 (26%) 408 0.31
(1.00)
0.047
(1.00)
0.693
(1.00)
0.491
(1.00)
0.577
(1.00)
0.403
(1.00)
del 16p12 2 89 (16%) 464 0.135
(1.00)
0.312
(1.00)
0.239
(1.00)
0.826
(1.00)
0.224
(1.00)
0.534
(1.00)
del 16q23 3 92 (17%) 461 0.0674
(1.00)
0.964
(1.00)
0.56
(1.00)
0.181
(1.00)
0.391
(1.00)
0.0256
(1.00)
del 17p13 2 82 (15%) 471 0.579
(1.00)
0.469
(1.00)
0.272
(1.00)
0.199
(1.00)
1
(1.00)
0.698
(1.00)
del 17p13 1 92 (17%) 461 0.327
(1.00)
0.148
(1.00)
0.0798
(1.00)
0.819
(1.00)
1
(1.00)
0.11
(1.00)
del 17q11 2 68 (12%) 485 0.19
(1.00)
0.484
(1.00)
0.895
(1.00)
0.238
(1.00)
1
(1.00)
0.0677
(1.00)
del 18q22 3 78 (14%) 475 0.649
(1.00)
0.606
(1.00)
0.709
(1.00)
0.117
(1.00)
1
(1.00)
0.793
(1.00)
del 19q13 41 97 (18%) 456 0.0367
(1.00)
0.265
(1.00)
1
(1.00)
0.253
(1.00)
0.718
(1.00)
1
(1.00)
del 21q22 3 57 (10%) 496 0.449
(1.00)
0.062
(1.00)
0.32
(1.00)
0.0503
(1.00)
0.886
(1.00)
0.881
(1.00)
del 22q13 32 205 (37%) 348 0.863
(1.00)
0.434
(1.00)
0.857
(1.00)
0.477
(1.00)
0.86
(1.00)
0.776
(1.00)
del xp22 2 113 (20%) 440 0.151
(1.00)
0.276
(1.00)
0.829
(1.00)
0.516
(1.00)
0.804
(1.00)
0.909
(1.00)
del xq23 103 (19%) 450 0.0875
(1.00)
0.999
(1.00)
0.823
(1.00)
0.361
(1.00)
0.277
(1.00)
0.288
(1.00)
'amp_7p11.2' versus 'Time to Death'

P value = 3.9e-07 (logrank test), Q value = 0.00016

Table S1.  Gene #8: 'amp_7p11.2' versus Clinical Feature #1: 'Time to Death'

nPatients nDeath Duration Range (Median), Month
ALL 553 445 0.1 - 127.6 (9.9)
AMP PEAK 8(7P11.2) MUTATED 485 398 0.1 - 127.6 (9.4)
AMP PEAK 8(7P11.2) WILD-TYPE 68 47 0.2 - 108.8 (15.1)

Figure S1.  Get High-res Image Gene #8: 'amp_7p11.2' versus Clinical Feature #1: 'Time to Death'

'amp_7p11.2' versus 'AGE'

P value = 1.4e-09 (t-test), Q value = 5.7e-07

Table S2.  Gene #8: 'amp_7p11.2' versus Clinical Feature #2: 'AGE'

nPatients Mean (Std.Dev)
ALL 553 57.8 (14.4)
AMP PEAK 8(7P11.2) MUTATED 485 59.8 (12.5)
AMP PEAK 8(7P11.2) WILD-TYPE 68 43.6 (18.8)

Figure S2.  Get High-res Image Gene #8: 'amp_7p11.2' versus Clinical Feature #2: 'AGE'

'amp_7q11.21' versus 'Time to Death'

P value = 2.87e-05 (logrank test), Q value = 0.011

Table S3.  Gene #9: 'amp_7q11.21' versus Clinical Feature #1: 'Time to Death'

nPatients nDeath Duration Range (Median), Month
ALL 553 445 0.1 - 127.6 (9.9)
AMP PEAK 9(7Q11.21) MUTATED 444 361 0.1 - 127.6 (9.4)
AMP PEAK 9(7Q11.21) WILD-TYPE 109 84 0.2 - 108.8 (14.0)

Figure S3.  Get High-res Image Gene #9: 'amp_7q11.21' versus Clinical Feature #1: 'Time to Death'

'amp_7q11.21' versus 'AGE'

P value = 5.93e-08 (t-test), Q value = 2.4e-05

Table S4.  Gene #9: 'amp_7q11.21' versus Clinical Feature #2: 'AGE'

nPatients Mean (Std.Dev)
ALL 553 57.8 (14.4)
AMP PEAK 9(7Q11.21) MUTATED 444 59.9 (12.4)
AMP PEAK 9(7Q11.21) WILD-TYPE 109 49.2 (18.4)

Figure S4.  Get High-res Image Gene #9: 'amp_7q11.21' versus Clinical Feature #2: 'AGE'

'amp_7q21.2' versus 'Time to Death'

P value = 0.000303 (logrank test), Q value = 0.12

Table S5.  Gene #10: 'amp_7q21.2' versus Clinical Feature #1: 'Time to Death'

nPatients nDeath Duration Range (Median), Month
ALL 553 445 0.1 - 127.6 (9.9)
AMP PEAK 10(7Q21.2) MUTATED 458 375 0.1 - 127.6 (9.7)
AMP PEAK 10(7Q21.2) WILD-TYPE 95 70 0.1 - 108.8 (12.4)

Figure S5.  Get High-res Image Gene #10: 'amp_7q21.2' versus Clinical Feature #1: 'Time to Death'

'amp_7q21.2' versus 'AGE'

P value = 9.4e-06 (t-test), Q value = 0.0037

Table S6.  Gene #10: 'amp_7q21.2' versus Clinical Feature #2: 'AGE'

nPatients Mean (Std.Dev)
ALL 553 57.8 (14.4)
AMP PEAK 10(7Q21.2) MUTATED 458 59.5 (12.5)
AMP PEAK 10(7Q21.2) WILD-TYPE 95 49.7 (19.8)

Figure S6.  Get High-res Image Gene #10: 'amp_7q21.2' versus Clinical Feature #2: 'AGE'

'amp_7q31.2' versus 'AGE'

P value = 0.000444 (t-test), Q value = 0.17

Table S7.  Gene #11: 'amp_7q31.2' versus Clinical Feature #2: 'AGE'

nPatients Mean (Std.Dev)
ALL 553 57.8 (14.4)
AMP PEAK 11(7Q31.2) MUTATED 451 59.2 (12.7)
AMP PEAK 11(7Q31.2) WILD-TYPE 102 51.9 (19.5)

Figure S7.  Get High-res Image Gene #11: 'amp_7q31.2' versus Clinical Feature #2: 'AGE'

'del_9p21.3' versus 'AGE'

P value = 0.000304 (t-test), Q value = 0.12

Table S8.  Gene #42: 'del_9p21.3' versus Clinical Feature #2: 'AGE'

nPatients Mean (Std.Dev)
ALL 553 57.8 (14.4)
DEL PEAK 19(9P21.3) MUTATED 402 59.3 (13.7)
DEL PEAK 19(9P21.3) WILD-TYPE 151 54.0 (15.7)

Figure S8.  Get High-res Image Gene #42: 'del_9p21.3' versus Clinical Feature #2: 'AGE'

'del_10p15.3' versus 'Time to Death'

P value = 1.91e-06 (logrank test), Q value = 0.00077

Table S9.  Gene #44: 'del_10p15.3' versus Clinical Feature #1: 'Time to Death'

nPatients nDeath Duration Range (Median), Month
ALL 553 445 0.1 - 127.6 (9.9)
DEL PEAK 21(10P15.3) MUTATED 449 369 0.1 - 92.6 (9.8)
DEL PEAK 21(10P15.3) WILD-TYPE 104 76 0.1 - 127.6 (11.7)

Figure S9.  Get High-res Image Gene #44: 'del_10p15.3' versus Clinical Feature #1: 'Time to Death'

'del_10p15.3' versus 'AGE'

P value = 3.76e-08 (t-test), Q value = 1.5e-05

Table S10.  Gene #44: 'del_10p15.3' versus Clinical Feature #2: 'AGE'

nPatients Mean (Std.Dev)
ALL 553 57.8 (14.4)
DEL PEAK 21(10P15.3) MUTATED 449 59.9 (12.5)
DEL PEAK 21(10P15.3) WILD-TYPE 104 48.8 (18.5)

Figure S10.  Get High-res Image Gene #44: 'del_10p15.3' versus Clinical Feature #2: 'AGE'

'del_10p13' versus 'Time to Death'

P value = 1.27e-06 (logrank test), Q value = 0.00051

Table S11.  Gene #45: 'del_10p13' versus Clinical Feature #1: 'Time to Death'

nPatients nDeath Duration Range (Median), Month
ALL 553 445 0.1 - 127.6 (9.9)
DEL PEAK 22(10P13) MUTATED 451 370 0.1 - 92.6 (9.9)
DEL PEAK 22(10P13) WILD-TYPE 102 75 0.1 - 127.6 (11.5)

Figure S11.  Get High-res Image Gene #45: 'del_10p13' versus Clinical Feature #1: 'Time to Death'

'del_10p13' versus 'AGE'

P value = 1.82e-07 (t-test), Q value = 7.3e-05

Table S12.  Gene #45: 'del_10p13' versus Clinical Feature #2: 'AGE'

nPatients Mean (Std.Dev)
ALL 553 57.8 (14.4)
DEL PEAK 22(10P13) MUTATED 451 59.8 (12.4)
DEL PEAK 22(10P13) WILD-TYPE 102 48.9 (19.0)

Figure S12.  Get High-res Image Gene #45: 'del_10p13' versus Clinical Feature #2: 'AGE'

'del_10p11.23' versus 'Time to Death'

P value = 9.13e-08 (logrank test), Q value = 3.7e-05

Table S13.  Gene #46: 'del_10p11.23' versus Clinical Feature #1: 'Time to Death'

nPatients nDeath Duration Range (Median), Month
ALL 553 445 0.1 - 127.6 (9.9)
DEL PEAK 23(10P11.23) MUTATED 455 373 0.1 - 92.6 (9.7)
DEL PEAK 23(10P11.23) WILD-TYPE 98 72 0.1 - 127.6 (12.8)

Figure S13.  Get High-res Image Gene #46: 'del_10p11.23' versus Clinical Feature #1: 'Time to Death'

'del_10p11.23' versus 'AGE'

P value = 1.06e-08 (t-test), Q value = 4.3e-06

Table S14.  Gene #46: 'del_10p11.23' versus Clinical Feature #2: 'AGE'

nPatients Mean (Std.Dev)
ALL 553 57.8 (14.4)
DEL PEAK 23(10P11.23) MUTATED 455 60.0 (12.3)
DEL PEAK 23(10P11.23) WILD-TYPE 98 47.7 (18.9)

Figure S14.  Get High-res Image Gene #46: 'del_10p11.23' versus Clinical Feature #2: 'AGE'

'del_10p11.23' versus 'HISTOLOGICAL.TYPE'

P value = 0.000576 (Fisher's exact test), Q value = 0.23

Table S15.  Gene #46: 'del_10p11.23' versus Clinical Feature #5: 'HISTOLOGICAL.TYPE'

nPatients GLIOBLASTOMA MULTIFORME (GBM) TREATED PRIMARY GBM UNTREATED PRIMARY (DE NOVO) GBM
ALL 10 18 525
DEL PEAK 23(10P11.23) MUTATED 5 10 440
DEL PEAK 23(10P11.23) WILD-TYPE 5 8 85

Figure S15.  Get High-res Image Gene #46: 'del_10p11.23' versus Clinical Feature #5: 'HISTOLOGICAL.TYPE'

'del_10q23.31' versus 'Time to Death'

P value = 1.08e-05 (logrank test), Q value = 0.0043

Table S16.  Gene #47: 'del_10q23.31' versus Clinical Feature #1: 'Time to Death'

nPatients nDeath Duration Range (Median), Month
ALL 553 445 0.1 - 127.6 (9.9)
DEL PEAK 24(10Q23.31) MUTATED 491 401 0.1 - 127.6 (9.9)
DEL PEAK 24(10Q23.31) WILD-TYPE 62 44 0.2 - 108.8 (12.5)

Figure S16.  Get High-res Image Gene #47: 'del_10q23.31' versus Clinical Feature #1: 'Time to Death'

'del_10q23.31' versus 'AGE'

P value = 6.33e-06 (t-test), Q value = 0.0025

Table S17.  Gene #47: 'del_10q23.31' versus Clinical Feature #2: 'AGE'

nPatients Mean (Std.Dev)
ALL 553 57.8 (14.4)
DEL PEAK 24(10Q23.31) MUTATED 491 59.2 (13.2)
DEL PEAK 24(10Q23.31) WILD-TYPE 62 47.2 (18.7)

Figure S17.  Get High-res Image Gene #47: 'del_10q23.31' versus Clinical Feature #2: 'AGE'

'del_10q26.3' versus 'AGE'

P value = 5.9e-05 (t-test), Q value = 0.023

Table S18.  Gene #48: 'del_10q26.3' versus Clinical Feature #2: 'AGE'

nPatients Mean (Std.Dev)
ALL 553 57.8 (14.4)
DEL PEAK 25(10Q26.3) MUTATED 492 59.0 (13.4)
DEL PEAK 25(10Q26.3) WILD-TYPE 61 48.3 (18.9)

Figure S18.  Get High-res Image Gene #48: 'del_10q26.3' versus Clinical Feature #2: 'AGE'

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

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

  • Number of patients = 553

  • Number of significantly focal cnvs = 68

  • Number of selected clinical features = 6

  • Exclude genes 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

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] 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)