Correlation between copy number variation genes (focal events) and selected clinical features
Kidney Renal Papillary Cell Carcinoma (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 variation genes (focal events) and selected clinical features. Broad Institute of MIT and Harvard. doi:10.7908/C18K77CW
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 34 focal events and 10 clinical features across 129 patients, 7 significant findings detected with Q value < 0.25.

  • DEL PEAK 11(9P21.3) MUTATION ANALYSIS cnv correlated to 'NEOPLASM.DISEASESTAGE' and 'PATHOLOGY.T.STAGE'.

  • DEL PEAK 13(11Q24.2) MUTATION ANALYSIS cnv correlated to 'Time to Death'.

  • DEL PEAK 18(16Q24.1) MUTATION ANALYSIS cnv correlated to 'Time to Death'.

  • DEL PEAK 22(22Q12.2) MUTATION ANALYSIS cnv correlated to 'PATHOLOGY.T.STAGE'.

  • DEL PEAK 23(XQ21.31) MUTATION ANALYSIS cnv correlated to 'Time to Death'.

  • DEL PEAK 24(XQ28) MUTATION ANALYSIS cnv correlated to 'Time to Death'.

Results
Overview of the results

Table 1.  Get Full Table Overview of the association between significant copy number variation of 34 focal events and 10 clinical features. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, 7 significant findings detected.

Clinical
Features
Time
to
Death
AGE NEOPLASM
DISEASESTAGE
PATHOLOGY
T
STAGE
PATHOLOGY
N
STAGE
PATHOLOGY
M
STAGE
GENDER KARNOFSKY
PERFORMANCE
SCORE
NUMBERPACKYEARSSMOKED YEAROFTOBACCOSMOKINGONSET
nCNV (%) nWild-Type logrank test t-test Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test t-test t-test t-test
DEL PEAK 11(9P21 3) MUTATION ANALYSIS 19 (15%) 110 0.0107
(1.00)
0.278
(1.00)
0.000319
(0.0822)
0.000351
(0.0901)
0.0531
(1.00)
0.00696
(1.00)
0.0133
(1.00)
0.398
(1.00)
DEL PEAK 13(11Q24 2) MUTATION ANALYSIS 14 (11%) 115 0.000726
(0.184)
0.00435
(1.00)
0.0108
(1.00)
0.00619
(1.00)
0.351
(1.00)
0.122
(1.00)
1
(1.00)
DEL PEAK 18(16Q24 1) MUTATION ANALYSIS 6 (5%) 123 1.28e-06
(0.000334)
0.998
(1.00)
0.139
(1.00)
0.164
(1.00)
0.171
(1.00)
0.42
(1.00)
0.0739
(1.00)
DEL PEAK 22(22Q12 2) MUTATION ANALYSIS 32 (25%) 97 0.788
(1.00)
0.602
(1.00)
0.00174
(0.437)
0.000643
(0.164)
0.14
(1.00)
0.107
(1.00)
0.0816
(1.00)
0.445
(1.00)
DEL PEAK 23(XQ21 31) MUTATION ANALYSIS 17 (13%) 112 0.000306
(0.0793)
0.135
(1.00)
0.0612
(1.00)
0.0204
(1.00)
0.104
(1.00)
0.293
(1.00)
0.16
(1.00)
0.398
(1.00)
DEL PEAK 24(XQ28) MUTATION ANALYSIS 16 (12%) 113 0.000505
(0.129)
0.183
(1.00)
0.127
(1.00)
0.141
(1.00)
0.0823
(1.00)
0.815
(1.00)
0.0903
(1.00)
0.458
(1.00)
AMP PEAK 1(2Q32 2) MUTATION ANALYSIS 26 (20%) 103 0.17
(1.00)
0.979
(1.00)
0.0209
(1.00)
0.128
(1.00)
0.145
(1.00)
0.0178
(1.00)
0.355
(1.00)
0.501
(1.00)
AMP PEAK 2(2Q32 2) MUTATION ANALYSIS 26 (20%) 103 0.17
(1.00)
0.979
(1.00)
0.0209
(1.00)
0.128
(1.00)
0.145
(1.00)
0.0178
(1.00)
0.355
(1.00)
0.501
(1.00)
AMP PEAK 3(3P14 1) MUTATION ANALYSIS 36 (28%) 93 0.475
(1.00)
0.608
(1.00)
0.0605
(1.00)
0.0336
(1.00)
1
(1.00)
0.254
(1.00)
0.403
(1.00)
0.13
(1.00)
AMP PEAK 4(3Q22 3) MUTATION ANALYSIS 43 (33%) 86 0.27
(1.00)
0.682
(1.00)
0.323
(1.00)
0.101
(1.00)
0.571
(1.00)
0.339
(1.00)
0.227
(1.00)
0.174
(1.00)
AMP PEAK 5(5Q35 2) MUTATION ANALYSIS 21 (16%) 108 0.528
(1.00)
0.94
(1.00)
0.338
(1.00)
0.291
(1.00)
1
(1.00)
0.345
(1.00)
1
(1.00)
0.397
(1.00)
AMP PEAK 6(6P12 3) MUTATION ANALYSIS 4 (3%) 125 0.531
(1.00)
0.348
(1.00)
0.255
(1.00)
0.157
(1.00)
0.434
(1.00)
0.284
(1.00)
1
(1.00)
AMP PEAK 7(7Q22 1) MUTATION ANALYSIS 74 (57%) 55 0.089
(1.00)
0.88
(1.00)
0.00387
(0.939)
0.0156
(1.00)
0.726
(1.00)
0.276
(1.00)
0.178
(1.00)
0.184
(1.00)
AMP PEAK 8(16P11 2) MUTATION ANALYSIS 69 (53%) 60 0.335
(1.00)
0.321
(1.00)
0.698
(1.00)
0.744
(1.00)
0.722
(1.00)
0.163
(1.00)
0.0215
(1.00)
0.648
(1.00)
AMP PEAK 9(17Q25 2) MUTATION ANALYSIS 90 (70%) 39 0.457
(1.00)
0.122
(1.00)
0.893
(1.00)
0.557
(1.00)
0.883
(1.00)
0.00324
(0.793)
0.0219
(1.00)
0.561
(1.00)
AMP PEAK 10(19P13 2) MUTATION ANALYSIS 14 (11%) 115 0.91
(1.00)
0.0437
(1.00)
0.687
(1.00)
0.113
(1.00)
1
(1.00)
0.875
(1.00)
1
(1.00)
0.136
(1.00)
DEL PEAK 1(1P36 31) MUTATION ANALYSIS 27 (21%) 102 0.186
(1.00)
0.683
(1.00)
0.041
(1.00)
0.0226
(1.00)
0.0288
(1.00)
0.0655
(1.00)
0.487
(1.00)
0.377
(1.00)
DEL PEAK 2(2Q36 3) MUTATION ANALYSIS 6 (5%) 123 0.673
(1.00)
0.343
(1.00)
0.0192
(1.00)
0.00266
(0.658)
1
(1.00)
0.0445
(1.00)
0.373
(1.00)
DEL PEAK 3(3P22 1) MUTATION ANALYSIS 10 (8%) 119 0.239
(1.00)
0.086
(1.00)
0.00339
(0.826)
0.00295
(0.726)
0.523
(1.00)
0.103
(1.00)
1
(1.00)
DEL PEAK 4(4Q32 1) MUTATION ANALYSIS 16 (12%) 113 0.115
(1.00)
0.414
(1.00)
0.0612
(1.00)
0.0617
(1.00)
0.0816
(1.00)
0.0439
(1.00)
0.257
(1.00)
DEL PEAK 5(5P14 2) MUTATION ANALYSIS 7 (5%) 122 0.0846
(1.00)
0.151
(1.00)
0.0317
(1.00)
0.00159
(0.4)
0.00816
(1.00)
0.42
(1.00)
0.202
(1.00)
DEL PEAK 6(5Q15) MUTATION ANALYSIS 8 (6%) 121 0.554
(1.00)
0.0553
(1.00)
0.14
(1.00)
0.0237
(1.00)
0.102
(1.00)
0.3
(1.00)
0.253
(1.00)
DEL PEAK 7(5Q35 2) MUTATION ANALYSIS 8 (6%) 121 0.635
(1.00)
0.115
(1.00)
0.0474
(1.00)
0.0116
(1.00)
0.102
(1.00)
0.387
(1.00)
0.253
(1.00)
DEL PEAK 8(6P12 3) MUTATION ANALYSIS 12 (9%) 117 0.381
(1.00)
0.573
(1.00)
0.0263
(1.00)
0.0253
(1.00)
0.178
(1.00)
0.431
(1.00)
1
(1.00)
0.248
(1.00)
DEL PEAK 9(6Q22 31) MUTATION ANALYSIS 13 (10%) 116 0.0643
(1.00)
0.769
(1.00)
0.0713
(1.00)
0.0073
(1.00)
0.525
(1.00)
0.236
(1.00)
0.109
(1.00)
0.383
(1.00)
DEL PEAK 10(6Q25 3) MUTATION ANALYSIS 14 (11%) 115 0.349
(1.00)
0.677
(1.00)
0.021
(1.00)
0.00265
(0.657)
0.839
(1.00)
0.492
(1.00)
0.0338
(1.00)
0.383
(1.00)
DEL PEAK 12(11Q22 3) MUTATION ANALYSIS 14 (11%) 115 0.00193
(0.482)
0.0123
(1.00)
0.0108
(1.00)
0.00619
(1.00)
0.285
(1.00)
0.122
(1.00)
0.762
(1.00)
DEL PEAK 14(14Q11 2) MUTATION ANALYSIS 29 (22%) 100 0.349
(1.00)
0.81
(1.00)
0.11
(1.00)
0.112
(1.00)
0.535
(1.00)
0.24
(1.00)
0.37
(1.00)
0.445
(1.00)
DEL PEAK 15(14Q32 2) MUTATION ANALYSIS 28 (22%) 101 0.288
(1.00)
0.472
(1.00)
0.111
(1.00)
0.16
(1.00)
0.145
(1.00)
0.163
(1.00)
0.645
(1.00)
0.377
(1.00)
DEL PEAK 16(14Q32 2) MUTATION ANALYSIS 28 (22%) 101 0.288
(1.00)
0.507
(1.00)
0.0808
(1.00)
0.0705
(1.00)
0.145
(1.00)
0.23
(1.00)
0.356
(1.00)
0.377
(1.00)
DEL PEAK 17(15Q15 1) MUTATION ANALYSIS 17 (13%) 112 0.00714
(1.00)
0.0732
(1.00)
0.0228
(1.00)
0.00692
(1.00)
0.0062
(1.00)
0.04
(1.00)
0.779
(1.00)
0.354
(1.00)
DEL PEAK 19(19P13 3) MUTATION ANALYSIS 13 (10%) 116 0.148
(1.00)
0.512
(1.00)
0.0387
(1.00)
0.0172
(1.00)
0.789
(1.00)
0.156
(1.00)
1
(1.00)
0.397
(1.00)
DEL PEAK 20(19Q13 2) MUTATION ANALYSIS 11 (9%) 118 0.275
(1.00)
0.368
(1.00)
0.00262
(0.653)
0.00105
(0.265)
1
(1.00)
0.481
(1.00)
1
(1.00)
DEL PEAK 21(19Q13 42) MUTATION ANALYSIS 12 (9%) 117 0.397
(1.00)
0.755
(1.00)
0.26
(1.00)
0.157
(1.00)
1
(1.00)
0.236
(1.00)
0.753
(1.00)
'DEL PEAK 11(9P21.3) MUTATION STATUS' versus 'NEOPLASM.DISEASESTAGE'

P value = 0.000319 (Fisher's exact test), Q value = 0.082

Table S1.  Gene #21: 'DEL PEAK 11(9P21.3) MUTATION STATUS' versus Clinical Feature #3: 'NEOPLASM.DISEASESTAGE'

nPatients STAGE I STAGE II STAGE III STAGE IV
ALL 69 10 30 10
DEL PEAK 11(9P21.3) MUTATED 4 0 8 5
DEL PEAK 11(9P21.3) WILD-TYPE 65 10 22 5

Figure S1.  Get High-res Image Gene #21: 'DEL PEAK 11(9P21.3) MUTATION STATUS' versus Clinical Feature #3: 'NEOPLASM.DISEASESTAGE'

'DEL PEAK 11(9P21.3) MUTATION STATUS' versus 'PATHOLOGY.T.STAGE'

P value = 0.000351 (Fisher's exact test), Q value = 0.09

Table S2.  Gene #21: 'DEL PEAK 11(9P21.3) MUTATION STATUS' versus Clinical Feature #4: 'PATHOLOGY.T.STAGE'

nPatients T1 T2 T3+T4
ALL 74 16 39
DEL PEAK 11(9P21.3) MUTATED 4 2 13
DEL PEAK 11(9P21.3) WILD-TYPE 70 14 26

Figure S2.  Get High-res Image Gene #21: 'DEL PEAK 11(9P21.3) MUTATION STATUS' versus Clinical Feature #4: 'PATHOLOGY.T.STAGE'

'DEL PEAK 13(11Q24.2) MUTATION STATUS' versus 'Time to Death'

P value = 0.000726 (logrank test), Q value = 0.18

Table S3.  Gene #23: 'DEL PEAK 13(11Q24.2) MUTATION STATUS' versus Clinical Feature #1: 'Time to Death'

nPatients nDeath Duration Range (Median), Month
ALL 119 15 0.0 - 194.8 (13.7)
DEL PEAK 13(11Q24.2) MUTATED 13 5 2.0 - 123.6 (11.0)
DEL PEAK 13(11Q24.2) WILD-TYPE 106 10 0.0 - 194.8 (14.4)

Figure S3.  Get High-res Image Gene #23: 'DEL PEAK 13(11Q24.2) MUTATION STATUS' versus Clinical Feature #1: 'Time to Death'

'DEL PEAK 18(16Q24.1) MUTATION STATUS' versus 'Time to Death'

P value = 1.28e-06 (logrank test), Q value = 0.00033

Table S4.  Gene #28: 'DEL PEAK 18(16Q24.1) MUTATION STATUS' versus Clinical Feature #1: 'Time to Death'

nPatients nDeath Duration Range (Median), Month
ALL 119 15 0.0 - 194.8 (13.7)
DEL PEAK 18(16Q24.1) MUTATED 5 3 0.7 - 21.6 (11.1)
DEL PEAK 18(16Q24.1) WILD-TYPE 114 12 0.0 - 194.8 (13.9)

Figure S4.  Get High-res Image Gene #28: 'DEL PEAK 18(16Q24.1) MUTATION STATUS' versus Clinical Feature #1: 'Time to Death'

'DEL PEAK 22(22Q12.2) MUTATION STATUS' versus 'PATHOLOGY.T.STAGE'

P value = 0.000643 (Fisher's exact test), Q value = 0.16

Table S5.  Gene #32: 'DEL PEAK 22(22Q12.2) MUTATION STATUS' versus Clinical Feature #4: 'PATHOLOGY.T.STAGE'

nPatients T1 T2 T3+T4
ALL 74 16 39
DEL PEAK 22(22Q12.2) MUTATED 10 4 18
DEL PEAK 22(22Q12.2) WILD-TYPE 64 12 21

Figure S5.  Get High-res Image Gene #32: 'DEL PEAK 22(22Q12.2) MUTATION STATUS' versus Clinical Feature #4: 'PATHOLOGY.T.STAGE'

'DEL PEAK 23(XQ21.31) MUTATION STATUS' versus 'Time to Death'

P value = 0.000306 (logrank test), Q value = 0.079

Table S6.  Gene #33: 'DEL PEAK 23(XQ21.31) MUTATION STATUS' versus Clinical Feature #1: 'Time to Death'

nPatients nDeath Duration Range (Median), Month
ALL 119 15 0.0 - 194.8 (13.7)
DEL PEAK 23(XQ21.31) MUTATED 16 5 0.0 - 79.8 (9.9)
DEL PEAK 23(XQ21.31) WILD-TYPE 103 10 0.0 - 194.8 (14.6)

Figure S6.  Get High-res Image Gene #33: 'DEL PEAK 23(XQ21.31) MUTATION STATUS' versus Clinical Feature #1: 'Time to Death'

'DEL PEAK 24(XQ28) MUTATION STATUS' versus 'Time to Death'

P value = 0.000505 (logrank test), Q value = 0.13

Table S7.  Gene #34: 'DEL PEAK 24(XQ28) MUTATION STATUS' versus Clinical Feature #1: 'Time to Death'

nPatients nDeath Duration Range (Median), Month
ALL 119 15 0.0 - 194.8 (13.7)
DEL PEAK 24(XQ28) MUTATED 15 4 0.0 - 25.1 (10.1)
DEL PEAK 24(XQ28) WILD-TYPE 104 11 0.0 - 194.8 (14.4)

Figure S7.  Get High-res Image Gene #34: 'DEL PEAK 24(XQ28) MUTATION STATUS' versus Clinical Feature #1: 'Time to Death'

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

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

  • Number of patients = 129

  • Number of significantly focal cnvs = 34

  • Number of selected clinical features = 10

  • 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)