Correlation between copy number variation genes (focal events) and selected clinical features
Uterine Carcinosarcoma (Primary solid tumor)
23 September 2013  |  analyses__2013_09_23
Maintainer Information
Citation Information
doi:10.7908/C1BZ64FK
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/C1BZ64FK
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 56 focal events and 2 clinical features across 14 patients, one significant finding detected with Q value < 0.25.

  • DEL PEAK 11(7Q36.2) MUTATION ANALYSIS cnv correlated to 'AGE'.

Results
Overview of the results

Table 1.  Get Full Table Overview of the association between significant copy number variation of 56 focal events and 2 clinical features. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, one significant finding detected.

Clinical
Features 		Time
to
Death 		AGE
nCNV (%) nWild-Type logrank test t-test
DEL PEAK 11(7Q36 2) MUTATION ANALYSIS 7 (50%) 7 0.105
(1.00) 		0.00221
(0.247)
AMP PEAK 1(1Q22) MUTATION ANALYSIS 9 (64%) 5 0.293
(1.00) 		0.409
(1.00)
AMP PEAK 2(2P14) MUTATION ANALYSIS 7 (50%) 7 0.207
(1.00) 		0.22
(1.00)
AMP PEAK 3(2Q13) MUTATION ANALYSIS 7 (50%) 7 0.811
(1.00) 		0.272
(1.00)
AMP PEAK 4(3P25 1) MUTATION ANALYSIS 6 (43%) 8 0.762
(1.00) 		0.249
(1.00)
AMP PEAK 5(3Q26 2) MUTATION ANALYSIS 9 (64%) 5 0.762
(1.00) 		0.264
(1.00)
AMP PEAK 6(4P16 3) MUTATION ANALYSIS 7 (50%) 7 0.0726
(1.00) 		0.101
(1.00)
AMP PEAK 7(5P13 2) MUTATION ANALYSIS 6 (43%) 8 0.548
(1.00) 		0.354
(1.00)
AMP PEAK 8(6P24 2) MUTATION ANALYSIS 10 (71%) 4 0.987
(1.00) 		0.562
(1.00)
AMP PEAK 9(8P11 21) MUTATION ANALYSIS 3 (21%) 11 0.605
(1.00) 		0.039
(1.00)
AMP PEAK 10(8Q11 23) MUTATION ANALYSIS 6 (43%) 8 0.84
(1.00) 		0.282
(1.00)
AMP PEAK 11(8Q24 21) MUTATION ANALYSIS 11 (79%) 3 0.972
(1.00) 		0.558
(1.00)
AMP PEAK 12(8Q24 21) MUTATION ANALYSIS 10 (71%) 4 0.903
(1.00) 		0.528
(1.00)
AMP PEAK 13(10Q22 2) MUTATION ANALYSIS 8 (57%) 6 0.344
(1.00) 		0.719
(1.00)
AMP PEAK 14(11Q13 1) MUTATION ANALYSIS 6 (43%) 8 0.302
(1.00) 		0.544
(1.00)
AMP PEAK 15(12Q12) MUTATION ANALYSIS 5 (36%) 9 0.135
(1.00) 		0.613
(1.00)
AMP PEAK 16(12Q15) MUTATION ANALYSIS 6 (43%) 8 0.128
(1.00) 		0.583
(1.00)
AMP PEAK 17(13Q31 3) MUTATION ANALYSIS 6 (43%) 8 0.844
(1.00) 		0.686
(1.00)
AMP PEAK 18(16P11 2) MUTATION ANALYSIS 3 (21%) 11 0.356
(1.00) 		0.636
(1.00)
AMP PEAK 19(17Q12) MUTATION ANALYSIS 10 (71%) 4 0.901
(1.00) 		0.908
(1.00)
AMP PEAK 20(17Q25 1) MUTATION ANALYSIS 7 (50%) 7 0.476
(1.00) 		0.174
(1.00)
AMP PEAK 21(19P13 2) MUTATION ANALYSIS 3 (21%) 11 0.217
(1.00) 		0.701
(1.00)
AMP PEAK 25(XP11 21) MUTATION ANALYSIS 4 (29%) 10 0.846
(1.00) 		0.0098
(1.00)
DEL PEAK 1(1P36 21) MUTATION ANALYSIS 5 (36%) 9 0.448
(1.00) 		0.616
(1.00)
DEL PEAK 2(2Q22 1) MUTATION ANALYSIS 3 (21%) 11 0.0855
(1.00) 		0.378
(1.00)
DEL PEAK 3(3P21 1) MUTATION ANALYSIS 8 (57%) 6 0.652
(1.00) 		0.86
(1.00)
DEL PEAK 4(3P14 1) MUTATION ANALYSIS 7 (50%) 7 0.382
(1.00) 		0.765
(1.00)
DEL PEAK 5(3Q13 31) MUTATION ANALYSIS 6 (43%) 8 0.98
(1.00) 		0.64
(1.00)
DEL PEAK 6(4Q22 1) MUTATION ANALYSIS 9 (64%) 5 0.185
(1.00) 		0.504
(1.00)
DEL PEAK 7(4Q34 3) MUTATION ANALYSIS 9 (64%) 5 0.185
(1.00) 		0.288
(1.00)
DEL PEAK 8(5Q11 2) MUTATION ANALYSIS 7 (50%) 7 0.774
(1.00) 		0.589
(1.00)
DEL PEAK 9(6Q26) MUTATION ANALYSIS 4 (29%) 10 0.87
(1.00) 		0.307
(1.00)
DEL PEAK 10(7Q11 22) MUTATION ANALYSIS 6 (43%) 8 0.287
(1.00) 		0.993
(1.00)
DEL PEAK 12(8P23 2) MUTATION ANALYSIS 8 (57%) 6 0.635
(1.00) 		0.894
(1.00)
DEL PEAK 13(9P23) MUTATION ANALYSIS 6 (43%) 8 0.127
(1.00) 		0.38
(1.00)
DEL PEAK 14(9Q21 13) MUTATION ANALYSIS 11 (79%) 3 0.379
(1.00) 		0.289
(1.00)
DEL PEAK 15(9Q33 3) MUTATION ANALYSIS 10 (71%) 4 0.436
(1.00) 		0.295
(1.00)
DEL PEAK 16(10Q21 1) MUTATION ANALYSIS 3 (21%) 11 0.744
(1.00) 		0.534
(1.00)
DEL PEAK 17(10Q23 31) MUTATION ANALYSIS 3 (21%) 11 0.503
(1.00) 		0.168
(1.00)
DEL PEAK 18(11P15 5) MUTATION ANALYSIS 4 (29%) 10 0.349
(1.00) 		0.266
(1.00)
DEL PEAK 19(11Q14 1) MUTATION ANALYSIS 7 (50%) 7 0.144
(1.00) 		0.811
(1.00)
DEL PEAK 20(11Q24 2) MUTATION ANALYSIS 7 (50%) 7 0.164
(1.00) 		0.635
(1.00)
DEL PEAK 21(12Q23 1) MUTATION ANALYSIS 3 (21%) 11 0.823
(1.00) 		0.937
(1.00)
DEL PEAK 22(12Q24 31) MUTATION ANALYSIS 4 (29%) 10 0.707
(1.00) 		0.465
(1.00)
DEL PEAK 23(13Q12 11) MUTATION ANALYSIS 7 (50%) 7 0.617
(1.00) 		0.362
(1.00)
DEL PEAK 24(13Q14 2) MUTATION ANALYSIS 7 (50%) 7 0.617
(1.00) 		0.362
(1.00)
DEL PEAK 25(14Q21 1) MUTATION ANALYSIS 9 (64%) 5 0.331
(1.00) 		0.47
(1.00)
DEL PEAK 26(15Q14) MUTATION ANALYSIS 11 (79%) 3 0.675
(1.00) 		0.496
(1.00)
DEL PEAK 27(16Q23 1) MUTATION ANALYSIS 10 (71%) 4 0.295
(1.00) 		0.596
(1.00)
DEL PEAK 28(17P13 1) MUTATION ANALYSIS 10 (71%) 4 0.379
(1.00) 		0.253
(1.00)
DEL PEAK 29(17Q21 32) MUTATION ANALYSIS 4 (29%) 10 0.0886
(1.00) 		0.566
(1.00)
DEL PEAK 30(18Q22 2) MUTATION ANALYSIS 5 (36%) 9 0.355
(1.00) 		0.376
(1.00)
DEL PEAK 32(19Q13 33) MUTATION ANALYSIS 6 (43%) 8 0.302
(1.00) 		0.544
(1.00)
DEL PEAK 34(22Q13 31) MUTATION ANALYSIS 11 (79%) 3 0.391
(1.00) 		0.191
(1.00)
DEL PEAK 35(XP21 1) MUTATION ANALYSIS 8 (57%) 6 0.246
(1.00) 		0.752
(1.00)
DEL PEAK 36(XQ25) MUTATION ANALYSIS 3 (21%) 11 0.269
(1.00) 		0.645
(1.00)
'DEL PEAK 11(7Q36.2) MUTATION STATUS' versus 'AGE'

P value = 0.00221 (t-test), Q value = 0.25

Table S1.  Gene #33: 'DEL PEAK 11(7Q36.2) MUTATION STATUS' versus Clinical Feature #2: 'AGE'

nPatients Mean (Std.Dev)
ALL 14 74.9 (8.4)
DEL PEAK 11(7Q36.2) MUTATED 7 68.7 (4.6)
DEL PEAK 11(7Q36.2) WILD-TYPE 7 81.0 (6.7)

Figure S1.  Get High-res Image Gene #33: 'DEL PEAK 11(7Q36.2) MUTATION STATUS' versus Clinical Feature #2: 'AGE'

Methods & Data
Input

  • Copy number data file = transformed.cor.cli.txt

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

  • Number of patients = 14

  • Number of significantly focal cnvs = 56

  • Number of selected clinical features = 2

  • 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

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] 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)
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