Correlation between copy number variations of arm-level result and selected clinical features
Cholangiocarcinoma (Primary solid tumor)
28 January 2016  |  analyses__2016_01_28
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 (2016): Correlation between copy number variations of arm-level result and selected clinical features. Broad Institute of MIT and Harvard. doi:10.7908/C1N8795B
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 65 arm-level events and 10 clinical features across 36 patients, no significant finding detected with Q value < 0.25.

  • No arm-level cnvs related to clinical features.

Results
Overview of the results

Table 1.  Get Full Table Overview of the association between significant copy number variation of 65 arm-level events and 10 clinical features. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, no significant finding detected.

Clinical
Features
Time
to
Death
YEARS
TO
BIRTH
PATHOLOGIC
STAGE
PATHOLOGY
T
STAGE
PATHOLOGY
N
STAGE
PATHOLOGY
M
STAGE
GENDER HISTOLOGICAL
TYPE
RESIDUAL
TUMOR
RACE
nCNV (%) nWild-Type logrank test Wilcoxon-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 Fisher's exact test
1p gain 10 (28%) 26 0.348
(1.00)
0.596
(1.00)
0.785
(1.00)
0.345
(1.00)
0.286
(1.00)
0.291
(1.00)
0.285
(1.00)
0.452
(1.00)
0.217
(1.00)
0.764
(1.00)
1q gain 22 (61%) 14 0.924
(1.00)
0.236
(1.00)
0.0535
(1.00)
0.149
(1.00)
0.624
(1.00)
0.328
(1.00)
1
(1.00)
0.141
(1.00)
0.83
(1.00)
1
(1.00)
2p gain 5 (14%) 31 0.344
(1.00)
0.436
(1.00)
0.815
(1.00)
1
(1.00)
0.525
(1.00)
1
(1.00)
0.355
(1.00)
0.62
(1.00)
0.465
(1.00)
0.134
(1.00)
2q gain 6 (17%) 30 0.309
(1.00)
0.51
(1.00)
0.505
(1.00)
0.475
(1.00)
0.173
(1.00)
1
(1.00)
0.672
(1.00)
0.696
(1.00)
0.555
(1.00)
0.186
(1.00)
3q gain 7 (19%) 29 0.467
(1.00)
0.223
(1.00)
0.443
(1.00)
0.847
(1.00)
0.562
(1.00)
0.282
(1.00)
0.204
(1.00)
0.0911
(1.00)
0.0931
(1.00)
0.123
(1.00)
5p gain 12 (33%) 24 0.807
(1.00)
0.775
(1.00)
0.605
(1.00)
0.704
(1.00)
1
(1.00)
0.63
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.23
(1.00)
5q gain 11 (31%) 25 0.983
(1.00)
0.548
(1.00)
0.504
(1.00)
0.599
(1.00)
1
(1.00)
0.643
(1.00)
1
(1.00)
0.35
(1.00)
0.829
(1.00)
0.189
(1.00)
6p gain 8 (22%) 28 0.205
(1.00)
0.53
(1.00)
1
(1.00)
0.733
(1.00)
1
(1.00)
1
(1.00)
0.103
(1.00)
0.245
(1.00)
0.173
(1.00)
0.474
(1.00)
6q gain 3 (8%) 33 0.198
(1.00)
0.144
(1.00)
0.555
(1.00)
0.712
(1.00)
0.422
(1.00)
0.4
(1.00)
0.574
(1.00)
0.0324
(1.00)
0.02
(1.00)
1
(1.00)
7p gain 7 (19%) 29 0.164
(1.00)
0.81
(1.00)
0.16
(1.00)
0.527
(1.00)
0.241
(1.00)
0.282
(1.00)
1
(1.00)
0.0906
(1.00)
0.774
(1.00)
0.419
(1.00)
7q gain 6 (17%) 30 0.294
(1.00)
0.718
(1.00)
0.181
(1.00)
0.703
(1.00)
0.173
(1.00)
0.216
(1.00)
1
(1.00)
0.0589
(1.00)
0.551
(1.00)
0.359
(1.00)
8p gain 5 (14%) 31 0.349
(1.00)
0.478
(1.00)
0.746
(1.00)
0.402
(1.00)
1
(1.00)
1
(1.00)
0.637
(1.00)
0.1
(1.00)
0.305
(1.00)
0.546
(1.00)
8q gain 11 (31%) 25 0.276
(1.00)
0.514
(1.00)
0.742
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.483
(1.00)
0.61
(1.00)
1
(1.00)
0.191
(1.00)
10p gain 5 (14%) 31 0.465
(1.00)
0.945
(1.00)
0.745
(1.00)
0.676
(1.00)
1
(1.00)
1
(1.00)
0.149
(1.00)
1
(1.00)
1
(1.00)
0.553
(1.00)
11p gain 4 (11%) 32 0.0785
(1.00)
0.743
(1.00)
0.129
(1.00)
0.61
(1.00)
0.0601
(1.00)
0.0993
(1.00)
1
(1.00)
0.123
(1.00)
0.373
(1.00)
0.0847
(1.00)
11q gain 4 (11%) 32 0.0785
(1.00)
0.743
(1.00)
0.128
(1.00)
0.61
(1.00)
0.0601
(1.00)
0.0993
(1.00)
1
(1.00)
0.12
(1.00)
0.372
(1.00)
0.0835
(1.00)
12p gain 9 (25%) 27 0.223
(1.00)
0.798
(1.00)
1
(1.00)
0.431
(1.00)
1
(1.00)
1
(1.00)
0.146
(1.00)
1
(1.00)
0.52
(1.00)
0.0165
(1.00)
12q gain 8 (22%) 28 0.473
(1.00)
0.805
(1.00)
0.958
(1.00)
0.733
(1.00)
0.291
(1.00)
0.302
(1.00)
0.422
(1.00)
0.73
(1.00)
0.616
(1.00)
0.0109
(1.00)
13q gain 3 (8%) 33 0.968
(1.00)
0.457
(1.00)
0.0789
(1.00)
0.537
(1.00)
0.0601
(1.00)
0.0532
(1.00)
1
(1.00)
0.0029
(0.985)
0.278
(1.00)
1
(1.00)
15q gain 6 (17%) 30 0.42
(1.00)
0.687
(1.00)
0.31
(1.00)
0.836
(1.00)
0.173
(1.00)
1
(1.00)
1
(1.00)
0.145
(1.00)
0.555
(1.00)
0.359
(1.00)
16p gain 7 (19%) 29 0.557
(1.00)
0.208
(1.00)
0.698
(1.00)
0.441
(1.00)
0.562
(1.00)
1
(1.00)
0.426
(1.00)
0.329
(1.00)
1
(1.00)
0.686
(1.00)
16q gain 5 (14%) 31 0.274
(1.00)
0.423
(1.00)
0.816
(1.00)
0.831
(1.00)
1
(1.00)
1
(1.00)
0.355
(1.00)
0.185
(1.00)
0.73
(1.00)
0.549
(1.00)
17p gain 3 (8%) 33 0.0127
(1.00)
0.797
(1.00)
0.554
(1.00)
0.713
(1.00)
0.301
(1.00)
0.4
(1.00)
1
(1.00)
0.433
(1.00)
0.28
(1.00)
0.0444
(1.00)
17q gain 7 (19%) 29 0.00303
(0.985)
0.873
(1.00)
0.86
(1.00)
0.619
(1.00)
1
(1.00)
1
(1.00)
0.204
(1.00)
1
(1.00)
0.773
(1.00)
0.062
(1.00)
18p gain 7 (19%) 29 0.599
(1.00)
0.119
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.426
(1.00)
0.331
(1.00)
0.599
(1.00)
0.686
(1.00)
18q gain 6 (17%) 30 0.596
(1.00)
0.226
(1.00)
0.928
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.747
(1.00)
0.622
(1.00)
19p gain 6 (17%) 30 0.687
(1.00)
0.396
(1.00)
0.314
(1.00)
0.704
(1.00)
0.173
(1.00)
1
(1.00)
1
(1.00)
0.401
(1.00)
0.747
(1.00)
0.358
(1.00)
19q gain 6 (17%) 30 0.687
(1.00)
0.396
(1.00)
0.316
(1.00)
0.703
(1.00)
0.173
(1.00)
1
(1.00)
1
(1.00)
0.402
(1.00)
0.748
(1.00)
0.361
(1.00)
20p gain 11 (31%) 25 0.353
(1.00)
0.0304
(1.00)
0.577
(1.00)
0.693
(1.00)
1
(1.00)
1
(1.00)
0.0335
(1.00)
1
(1.00)
0.369
(1.00)
0.188
(1.00)
20q gain 12 (33%) 24 0.557
(1.00)
0.0156
(1.00)
0.504
(1.00)
0.545
(1.00)
1
(1.00)
1
(1.00)
0.0815
(1.00)
0.634
(1.00)
0.2
(1.00)
0.229
(1.00)
22q gain 5 (14%) 31 0.287
(1.00)
0.252
(1.00)
0.15
(1.00)
0.831
(1.00)
0.173
(1.00)
0.155
(1.00)
0.637
(1.00)
0.185
(1.00)
0.467
(1.00)
1
(1.00)
1p loss 3 (8%) 33 0.651
(1.00)
0.529
(1.00)
0.0806
(1.00)
0.536
(1.00)
0.0601
(1.00)
0.0189
(1.00)
0.574
(1.00)
0.43
(1.00)
0.278
(1.00)
1
(1.00)
3p loss 24 (67%) 12 0.615
(1.00)
0.135
(1.00)
0.0347
(1.00)
0.0908
(1.00)
0.0274
(1.00)
0.304
(1.00)
0.729
(1.00)
0.194
(1.00)
0.253
(1.00)
0.588
(1.00)
3q loss 4 (11%) 32 0.155
(1.00)
0.65
(1.00)
0.852
(1.00)
0.801
(1.00)
1
(1.00)
1
(1.00)
0.613
(1.00)
1
(1.00)
1
(1.00)
0.0858
(1.00)
4p loss 11 (31%) 25 0.488
(1.00)
0.481
(1.00)
0.767
(1.00)
0.165
(1.00)
1
(1.00)
0.643
(1.00)
0.0335
(1.00)
1
(1.00)
0.447
(1.00)
0.188
(1.00)
4q loss 13 (36%) 23 0.845
(1.00)
0.692
(1.00)
0.961
(1.00)
0.243
(1.00)
1
(1.00)
0.63
(1.00)
0.493
(1.00)
0.654
(1.00)
0.597
(1.00)
1
(1.00)
5q loss 3 (8%) 33 0.749
(1.00)
0.129
(1.00)
0.552
(1.00)
1
(1.00)
0.422
(1.00)
0.4
(1.00)
0.574
(1.00)
0.0315
(1.00)
0.279
(1.00)
1
(1.00)
6p loss 5 (14%) 31 0.669
(1.00)
0.731
(1.00)
0.502
(1.00)
0.109
(1.00)
0.56
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.728
(1.00)
1
(1.00)
6q loss 20 (56%) 16 0.532
(1.00)
0.339
(1.00)
0.897
(1.00)
0.802
(1.00)
0.636
(1.00)
0.639
(1.00)
0.091
(1.00)
0.524
(1.00)
0.847
(1.00)
0.783
(1.00)
7p loss 4 (11%) 32 0.00941
(1.00)
0.597
(1.00)
0.296
(1.00)
0.438
(1.00)
0.422
(1.00)
1
(1.00)
0.613
(1.00)
1
(1.00)
0.655
(1.00)
0.467
(1.00)
7q loss 4 (11%) 32 0.256
(1.00)
0.821
(1.00)
0.348
(1.00)
0.25
(1.00)
1
(1.00)
1
(1.00)
0.613
(1.00)
1
(1.00)
0.654
(1.00)
0.463
(1.00)
8p loss 10 (28%) 26 0.454
(1.00)
0.536
(1.00)
0.197
(1.00)
0.0287
(1.00)
0.291
(1.00)
0.29
(1.00)
0.285
(1.00)
0.452
(1.00)
0.419
(1.00)
0.763
(1.00)
8q loss 5 (14%) 31 0.832
(1.00)
0.664
(1.00)
1
(1.00)
0.527
(1.00)
1
(1.00)
1
(1.00)
0.637
(1.00)
1
(1.00)
0.469
(1.00)
1
(1.00)
9p loss 18 (50%) 18 0.709
(1.00)
0.0515
(1.00)
0.106
(1.00)
0.357
(1.00)
0.654
(1.00)
0.0184
(1.00)
0.315
(1.00)
0.209
(1.00)
1
(1.00)
0.228
(1.00)
9q loss 19 (53%) 17 0.825
(1.00)
0.0493
(1.00)
0.388
(1.00)
0.245
(1.00)
0.172
(1.00)
0.152
(1.00)
1
(1.00)
0.433
(1.00)
0.491
(1.00)
0.231
(1.00)
10p loss 6 (17%) 30 0.74
(1.00)
0.983
(1.00)
0.184
(1.00)
0.705
(1.00)
0.173
(1.00)
0.216
(1.00)
1
(1.00)
0.0585
(1.00)
0.556
(1.00)
0.359
(1.00)
10q loss 5 (14%) 31 0.897
(1.00)
1
(1.00)
0.814
(1.00)
0.829
(1.00)
0.525
(1.00)
1
(1.00)
0.637
(1.00)
0.33
(1.00)
1
(1.00)
1
(1.00)
11p loss 8 (22%) 28 0.158
(1.00)
0.985
(1.00)
0.727
(1.00)
0.413
(1.00)
0.553
(1.00)
1
(1.00)
0.422
(1.00)
1
(1.00)
0.272
(1.00)
1
(1.00)
11q loss 9 (25%) 27 0.0995
(1.00)
0.715
(1.00)
0.86
(1.00)
0.432
(1.00)
0.562
(1.00)
1
(1.00)
0.146
(1.00)
1
(1.00)
0.518
(1.00)
1
(1.00)
12q loss 3 (8%) 33 0.481
(1.00)
0.954
(1.00)
0.0816
(1.00)
0.535
(1.00)
0.0601
(1.00)
0.0532
(1.00)
1
(1.00)
0.065
(1.00)
0.277
(1.00)
1
(1.00)
13q loss 16 (44%) 20 0.558
(1.00)
0.899
(1.00)
0.316
(1.00)
0.243
(1.00)
0.344
(1.00)
0.0574
(1.00)
1
(1.00)
0.072
(1.00)
0.846
(1.00)
0.613
(1.00)
14q loss 13 (36%) 23 0.91
(1.00)
0.961
(1.00)
0.507
(1.00)
0.799
(1.00)
0.147
(1.00)
0.63
(1.00)
0.731
(1.00)
0.655
(1.00)
1
(1.00)
1
(1.00)
15q loss 5 (14%) 31 0.31
(1.00)
0.537
(1.00)
0.5
(1.00)
0.194
(1.00)
0.525
(1.00)
0.5
(1.00)
0.637
(1.00)
0.331
(1.00)
0.728
(1.00)
1
(1.00)
16p loss 4 (11%) 32 0.281
(1.00)
0.84
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.303
(1.00)
1
(1.00)
0.653
(1.00)
0.467
(1.00)
16q loss 7 (19%) 29 0.529
(1.00)
0.889
(1.00)
0.824
(1.00)
1
(1.00)
1
(1.00)
0.559
(1.00)
1
(1.00)
0.719
(1.00)
0.0567
(1.00)
0.685
(1.00)
17p loss 10 (28%) 26 0.188
(1.00)
0.958
(1.00)
0.882
(1.00)
0.523
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.774
(1.00)
0.54
(1.00)
0.242
(1.00)
18p loss 6 (17%) 30 0.665
(1.00)
0.47
(1.00)
0.93
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.374
(1.00)
1
(1.00)
1
(1.00)
0.0893
(1.00)
18q loss 8 (22%) 28 0.638
(1.00)
0.849
(1.00)
0.958
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
1
(1.00)
0.535
(1.00)
1
(1.00)
0.159
(1.00)
19p loss 4 (11%) 32 0.696
(1.00)
0.94
(1.00)
0.498
(1.00)
1
(1.00)
0.525
(1.00)
0.5
(1.00)
1
(1.00)
0.0616
(1.00)
0.374
(1.00)
1
(1.00)
19q loss 3 (8%) 33 0.334
(1.00)
0.567
(1.00)
0.783
(1.00)
0.376
(1.00)
1
(1.00)
1
(1.00)
0.574
(1.00)
0.432
(1.00)
1
(1.00)
1
(1.00)
20p loss 5 (14%) 31 0.326
(1.00)
0.537
(1.00)
0.814
(1.00)
0.83
(1.00)
1
(1.00)
0.5
(1.00)
1
(1.00)
0.185
(1.00)
1
(1.00)
0.548
(1.00)
21q loss 15 (42%) 21 0.867
(1.00)
0.199
(1.00)
0.601
(1.00)
0.412
(1.00)
0.368
(1.00)
0.625
(1.00)
1
(1.00)
0.814
(1.00)
0.836
(1.00)
0.778
(1.00)
22q loss 5 (14%) 31 0.243
(1.00)
1
(1.00)
0.501
(1.00)
0.108
(1.00)
1
(1.00)
1
(1.00)
0.355
(1.00)
0.622
(1.00)
0.728
(1.00)
0.298
(1.00)
xp loss 15 (42%) 21 0.619
(1.00)
0.885
(1.00)
0.227
(1.00)
0.587
(1.00)
0.128
(1.00)
1
(1.00)
0.32
(1.00)
0.642
(1.00)
0.834
(1.00)
0.202
(1.00)
xq loss 15 (42%) 21 0.619
(1.00)
0.885
(1.00)
0.229
(1.00)
0.588
(1.00)
0.128
(1.00)
1
(1.00)
0.32
(1.00)
0.641
(1.00)
0.836
(1.00)
0.199
(1.00)
Methods & Data
Input
  • Copy number data file = broad_values_by_arm.txt from GISTIC pipeline

  • Processed Copy number data file = /xchip/cga/gdac-prod/tcga-gdac/jobResults/GDAC_Correlate_Genomic_Events_Preprocess/CHOL-TP/22519028/transformed.cor.cli.txt

  • Clinical data file = /xchip/cga/gdac-prod/tcga-gdac/jobResults/Append_Data/CHOL-TP/22489349/CHOL-TP.merged_data.txt

  • Number of patients = 36

  • Number of significantly arm-level cnvs = 65

  • Number of selected clinical features = 10

  • 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

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] 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)
[3] 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)