This pipeline computes the correlation between significant copy number variation (cnv) genes and selected clinical features.
Testing the association between copy number variation of 18 peak regions and 2 clinical features across 14 patients, no significant finding detected with Q value < 0.25.
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No gene cnvs related to clinical features.
Clinical Features |
Time to Death |
AGE | ||
nCNV (%) | nWild-Type | logrank test | t-test | |
Amp Peak 1(3q26 31) | 11 (79%) | 3 |
1 (1.00) |
0.499 (1.00) |
Amp Peak 5(8q24 21) | 7 (50%) | 7 |
0.414 (1.00) |
0.586 (1.00) |
Amp Peak 6(8q24 21) | 7 (50%) | 7 |
0.221 (1.00) |
0.366 (1.00) |
Amp Peak 7(9p24 1) | 3 (21%) | 11 |
0.617 (1.00) |
0.533 (1.00) |
Amp Peak 10(11q22 1) | 3 (21%) | 11 |
0.221 (1.00) |
0.508 (1.00) |
Amp Peak 15(20q11 21) | 6 (43%) | 8 |
0.221 (1.00) |
0.535 (1.00) |
Del Peak 3(2q37 2) | 7 (50%) | 7 |
0.221 (1.00) |
0.218 (1.00) |
Del Peak 4(3p22 1) | 7 (50%) | 7 |
1 (1.00) |
0.138 (1.00) |
Del Peak 5(3p14 1) | 8 (57%) | 6 |
1 (1.00) |
0.179 (1.00) |
Del Peak 6(4q35 2) | 4 (29%) | 10 |
0.617 (1.00) |
0.907 (1.00) |
Del Peak 7(5q35 3) | 8 (57%) | 6 |
0.414 (1.00) |
0.898 (1.00) |
Del Peak 10(10q23 31) | 3 (21%) | 11 |
0.0455 (1.00) |
0.765 (1.00) |
Del Peak 11(11q14 2) | 3 (21%) | 11 |
0.617 (1.00) |
0.49 (1.00) |
Del Peak 12(11q25) | 7 (50%) | 7 |
0.414 (1.00) |
0.845 (1.00) |
Del Peak 13(13q12 12) | 8 (57%) | 6 |
0.0455 (1.00) |
0.143 (1.00) |
Del Peak 14(13q13 2) | 8 (57%) | 6 |
0.0455 (1.00) |
0.143 (1.00) |
Del Peak 18(19p13 3) | 4 (29%) | 10 |
0.221 (1.00) |
0.305 (1.00) |
Del Peak 19(21q21 1) | 4 (29%) | 10 |
0.617 (1.00) |
0.986 (1.00) |
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Copy number data file = All Lesions File (all_lesions.conf_##.txt, where ## is the confidence level). The all lesions file is from GISTIC pipeline and summarizes the results from the GISTIC run. It contains data about the significant regions of amplification and deletion as well as which samples are amplified or deleted in each of these regions. The identified regions are listed down the first column, and the samples are listed across the first row, starting in column 10.
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Clinical data file = CESC.clin.merged.picked.txt
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Number of patients = 14
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Number of copy number variation regions = 18
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Number of selected clinical features = 2
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Exclude regions that fewer than K tumors have alterations, K = 3
For survival clinical features, the Kaplan-Meier survival curves of tumors with and without gene cnvs were plotted and the statistical significance P values were estimated by logrank test (Bland and Altman 2004) using the 'survdiff' function in R
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 cnvs using 't.test' function in R
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.
This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.