Correlation between copy number variation genes (focal events) and selected clinical features
Thyroid Adenocarcinoma (Primary solid tumor)
23 September 2013 | analyses__2013_09_23
Maintainer Information
Citation Information
doi:10.7908/C1X63K9Q
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/C1X63K9Q
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 29 focal events and 15 clinical features across 475 patients, 14 significant findings detected with Q value < 0.25.

- DEL PEAK 2(2P23.1) MUTATION ANALYSIS cnv correlated to 'NUMBER.OF.LYMPH.NODES'.

- DEL PEAK 3(2Q35) MUTATION ANALYSIS cnv correlated to 'NEOPLASM.DISEASESTAGE' and 'NUMBER.OF.LYMPH.NODES'.

- DEL PEAK 6(6Q22.31) MUTATION ANALYSIS cnv correlated to 'Time to Death'.

- DEL PEAK 9(8P23.2) MUTATION ANALYSIS cnv correlated to 'NUMBER.OF.LYMPH.NODES'.

- DEL PEAK 10(8P22) MUTATION ANALYSIS cnv correlated to 'NUMBER.OF.LYMPH.NODES'.

- DEL PEAK 11(8P12) MUTATION ANALYSIS cnv correlated to 'NUMBER.OF.LYMPH.NODES'.

- DEL PEAK 12(8Q24.22) MUTATION ANALYSIS cnv correlated to 'NUMBER.OF.LYMPH.NODES'.

- DEL PEAK 13(9Q21.13) MUTATION ANALYSIS cnv correlated to 'NEOPLASM.DISEASESTAGE'.

- DEL PEAK 16(11P15.1) MUTATION ANALYSIS cnv correlated to 'AGE' and 'NEOPLASM.DISEASESTAGE'.

- DEL PEAK 24(18Q22.2) MUTATION ANALYSIS cnv correlated to 'NUMBER.OF.LYMPH.NODES'.

- DEL PEAK 34(XQ22.3) MUTATION ANALYSIS cnv correlated to 'NEOPLASM.DISEASESTAGE' and 'NUMBER.OF.LYMPH.NODES'.

Results
Overview of the results

Table 1. Get Full Table Overview of the association between significant copy number variation of 29 focal events and 15 clinical features. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, 14 significant findings detected.

|  | Clinical Features | Time to Death | AGE | NEOPLASM DISEASESTAGE | PATHOLOGY T STAGE | PATHOLOGY N STAGE | PATHOLOGY M STAGE | GENDER | HISTOLOGICAL TYPE | RADIATIONS RADIATION REGIMENINDICATION | RADIATIONEXPOSURE | EXTRATHYROIDAL EXTENSION | COMPLETENESS OF RESECTION | NUMBER OF LYMPH NODES | MULTIFOCALITY | TUMOR SIZE
| nCNV (%) | nWild-Type | logrank test | t-test | Chi-square 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 | Fisher's exact test | t-test | Fisher's exact test | t-test
DEL PEAK 3(2Q35) MUTATION ANALYSIS | 11 (2%) | 464 | 0.0467 (1.00) | 0.0587 (1.00) | 0.000198 (0.0835) | 0.624 (1.00) | 0.00731 (1.00) | 0.0323 (1.00) | 0.49 (1.00) | 0.0157 (1.00) | 1 (1.00) | 0.343 (1.00) | 0.531 (1.00) | 0.207 (1.00) | 3.83e-25 (1.66e-22) | 1 (1.00) | 0.202 (1.00)
DEL PEAK 16(11P15 1) MUTATION ANALYSIS | 7 (1%) | 468 | 0.00188 (0.776) | 0.000502 (0.211) | 2.17e-07 (9.24e-05) | 0.189 (1.00) | 0.449 (1.00) | 0.0928 (1.00) | 0.0155 (1.00) | 0.827 (1.00) | 0.19 (1.00) | 1 (1.00) | 0.536 (1.00) | 0.504 (1.00) | 0.0804 (1.00) | 0.708 (1.00) | 0.0349 (1.00)
DEL PEAK 34(XQ22 3) MUTATION ANALYSIS | 4 (1%) | 471 | 0.748 (1.00) | 0.0809 (1.00) | 1.57e-06 (0.000667) | 0.056 (1.00) | 0.123 (1.00) | 0.103 (1.00) | 0.0577 (1.00) | 1 (1.00) | 1 (1.00) | 0.117 (1.00) | 0.636 (1.00) | 0.298 (1.00) | 4.19e-25 (1.81e-22) | 1 (1.00) | 0.863 (1.00)
DEL PEAK 2(2P23 1) MUTATION ANALYSIS | 12 (3%) | 463 | 0.702 (1.00) | 0.657 (1.00) | 0.015 (1.00) | 0.887 (1.00) | 0.0201 (1.00) | 0.0258 (1.00) | 0.524 (1.00) | 0.00464 (1.00) | 1 (1.00) | 1 (1.00) | 0.0913 (1.00) | 0.509 (1.00) | 2.53e-09 (1.08e-06) | 0.779 (1.00) | 0.879 (1.00)
DEL PEAK 6(6Q22 31) MUTATION ANALYSIS | 6 (1%) | 469 | 9.71e-05 (0.0411) | 0.0478 (1.00) | 0.185 (1.00) | 0.904 (1.00) | 0.372 (1.00) | 0.0169 (1.00) | 0.19 (1.00) | 0.789 (1.00) | 0.165 (1.00) | 0.188 (1.00) | 0.348 (1.00) | 0.682 (1.00) | 0.002 (0.823) | 0.691 (1.00) | 0.0497 (1.00)
DEL PEAK 9(8P23 2) MUTATION ANALYSIS | 4 (1%) | 471 | 0.867 (1.00) | 0.998 (1.00) | 0.188 (1.00) | 1 (1.00) | 0.248 (1.00) | 0.373 (1.00) | 0.0577 (1.00) | 0.472 (1.00) | 1 (1.00) | 1 (1.00) | 0.636 (1.00) | 1 (1.00) | 4.19e-25 (1.81e-22) | 1 (1.00) | 0.879 (1.00)
DEL PEAK 10(8P22) MUTATION ANALYSIS | 4 (1%) | 471 | 0.867 (1.00) | 0.998 (1.00) | 0.188 (1.00) | 1 (1.00) | 0.248 (1.00) | 0.373 (1.00) | 0.0577 (1.00) | 0.472 (1.00) | 1 (1.00) | 1 (1.00) | 0.636 (1.00) | 1 (1.00) | 4.19e-25 (1.81e-22) | 1 (1.00) | 0.879 (1.00)
DEL PEAK 11(8P12) MUTATION ANALYSIS | 4 (1%) | 471 | 0.867 (1.00) | 0.998 (1.00) | 0.188 (1.00) | 1 (1.00) | 0.248 (1.00) | 0.373 (1.00) | 0.0577 (1.00) | 0.472 (1.00) | 1 (1.00) | 1 (1.00) | 0.636 (1.00) | 1 (1.00) | 4.19e-25 (1.81e-22) | 1 (1.00) | 0.879 (1.00)
DEL PEAK 12(8Q24 22) MUTATION ANALYSIS | 7 (1%) | 468 | 0.837 (1.00) | 0.376 (1.00) | 0.105 (1.00) | 0.784 (1.00) | 0.061 (1.00) | 0.739 (1.00) | 0.0155 (1.00) | 0.16 (1.00) | 1 (1.00) | 1 (1.00) | 0.75 (1.00) | 0.504 (1.00) | 4.1e-25 (1.77e-22) | 1 (1.00) | 0.335 (1.00)
DEL PEAK 13(9Q21 13) MUTATION ANALYSIS | 19 (4%) | 456 | 0.0702 (1.00) | 0.0091 (1.00) | 5.93e-11 (2.54e-08) | 0.314 (1.00) | 0.8 (1.00) | 0.0319 (1.00) | 0.117 (1.00) | 0.673 (1.00) | 0.44 (1.00) | 0.534 (1.00) | 0.0686 (1.00) | 0.741 (1.00) | 0.418 (1.00) | 0.817 (1.00) | 0.168 (1.00)
DEL PEAK 24(18Q22 2) MUTATION ANALYSIS | 5 (1%) | 470 | 0.703 (1.00) | 0.278 (1.00) | 0.312 (1.00) | 0.179 (1.00) | 0.623 (1.00) | 0.688 (1.00) | 1 (1.00) | 0.579 (1.00) | 1 (1.00) | 1 (1.00) | 0.438 (1.00) | 1 (1.00) | 6.71e-05 (0.0284) | 0.38 (1.00) | 0.317 (1.00)
AMP PEAK 1(XQ22 3) MUTATION ANALYSIS | 15 (3%) | 460 | 0.345 (1.00) | 0.398 (1.00) | 0.0116 (1.00) | 0.717 (1.00) | 0.575 (1.00) | 0.454 (1.00) | 0.0148 (1.00) | 0.576 (1.00) | 1 (1.00) | 1 (1.00) | 0.0123 (1.00) | 1 (1.00) | 0.826 (1.00) | 0.302 (1.00) | 0.936 (1.00)
DEL PEAK 4(5P15 2) MUTATION ANALYSIS | 4 (1%) | 471 | 0.916 (1.00) | 0.239 (1.00) | 0.719 (1.00) | 0.623 (1.00) | 0.623 (1.00) | 0.189 (1.00) | 0.577 (1.00) | 0.0311 (1.00) | 1 (1.00) | 1 (1.00) | 0.403 (1.00) | 0.06 (1.00) | 0.182 (1.00) | 0.338 (1.00) | 0.273 (1.00)
DEL PEAK 8(7Q34) MUTATION ANALYSIS | 4 (1%) | 471 | 0.758 (1.00) | 0.81 (1.00) | 0.795 (1.00) | 0.547 (1.00) | 0.623 (1.00) | 1 (1.00) | 1 (1.00) | 0.129 (1.00) | 1 (1.00) | 1 (1.00) | 0.636 (1.00) | 1 (1.00) | 0.23 (1.00) | 0.628 (1.00) | 0.191 (1.00)
DEL PEAK 14(10Q21 2) MUTATION ANALYSIS | 11 (2%) | 464 | 0.633 (1.00) | 0.997 (1.00) | 0.943 (1.00) | 0.84 (1.00) | 0.338 (1.00) | 0.628 (1.00) | 0.49 (1.00) | 0.52 (1.00) | 0.283 (1.00) | 1 (1.00) | 1 (1.00) | 1 (1.00) | 0.489 (1.00) | 0.524 (1.00) | 0.141 (1.00)
DEL PEAK 15(10Q23 31) MUTATION ANALYSIS | 11 (2%) | 464 | 0.626 (1.00) | 0.0266 (1.00) | 0.00878 (1.00) | 0.804 (1.00) | 0.0201 (1.00) | 0.154 (1.00) | 0.168 (1.00) | 0.25 (1.00) | 1 (1.00) | 1 (1.00) | 0.821 (1.00) | 0.696 (1.00) | 0.00127 (0.528) | 1 (1.00) | 0.0225 (1.00)
DEL PEAK 17(13Q12 3) MUTATION ANALYSIS | 14 (3%) | 461 | 0.36 (1.00) | 0.00165 (0.684) | 0.0732 (1.00) | 0.676 (1.00) | 0.14 (1.00) | 0.114 (1.00) | 0.06 (1.00) | 0.507 (1.00) | 0.346 (1.00) | 0.00108 (0.452) | 0.858 (1.00) | 0.63 (1.00) | 0.062 (1.00) | 0.427 (1.00) | 0.493 (1.00)
DEL PEAK 18(13Q21 31) MUTATION ANALYSIS | 15 (3%) | 460 | 0.36 (1.00) | 0.0619 (1.00) | 0.653 (1.00) | 0.771 (1.00) | 0.0874 (1.00) | 0.231 (1.00) | 0.0787 (1.00) | 0.511 (1.00) | 0.0681 (1.00) | 0.00108 (0.452) | 0.752 (1.00) | 0.654 (1.00) | 0.00156 (0.649) | 0.119 (1.00) | 0.653 (1.00)
DEL PEAK 19(15Q25 3) MUTATION ANALYSIS | 7 (1%) | 468 | 0.687 (1.00) | 0.666 (1.00) | 0.105 (1.00) | 0.269 (1.00) | 0.122 (1.00) | 0.0181 (1.00) | 0.682 (1.00) | 0.0304 (1.00) | 1 (1.00) | 1 (1.00) | 1 (1.00) | 0.737 (1.00) | 0.25 (1.00) | 0.708 (1.00) | 0.397 (1.00)
DEL PEAK 21(16Q23 3) MUTATION ANALYSIS | 5 (1%) | 470 | 0.748 (1.00) | 0.0803 (1.00) | 0.0298 (1.00) | 0.0713 (1.00) | 1 (1.00) | 1 (1.00) | 1 (1.00) | 0.0813 (1.00) | 1 (1.00) | 0.188 (1.00) | 0.0312 (1.00) | 0.223 (1.00) | 0.725 (1.00) | 0.665 (1.00) | 0.904 (1.00)
DEL PEAK 22(17P13 1) MUTATION ANALYSIS | 7 (1%) | 468 | 0.597 (1.00) | 0.701 (1.00) | 0.517 (1.00) | 0.132 (1.00) | 0.449 (1.00) | 0.335 (1.00) | 0.682 (1.00) | 0.16 (1.00) | 0.0156 (1.00) | 0.254 (1.00) | 0.176 (1.00) | 0.737 (1.00) | 0.929 (1.00) | 1 (1.00) | 0.0909 (1.00)
DEL PEAK 23(18P11 21) MUTATION ANALYSIS | 4 (1%) | 471 | 0.754 (1.00) | 0.555 (1.00) | 0.188 (1.00) | 0.334 (1.00) | 1 (1.00) | 0.373 (1.00) | 1 (1.00) | 0.472 (1.00) | 1 (1.00) | 1 (1.00) | 0.636 (1.00) | 1 (1.00) | 0.002 (0.823) | 0.628 (1.00) | 0.24 (1.00)
DEL PEAK 25(19P13 2) MUTATION ANALYSIS | 6 (1%) | 469 | 0.00116 (0.484) | 0.0554 (1.00) | 0.57 (1.00) | 1 (1.00) | 1 (1.00) | 1 (1.00) | 0.19 (1.00) | 1 (1.00) | 1 (1.00) | 0.0212 (1.00) | 0.736 (1.00) | 0.0988 (1.00) |  | 0.691 (1.00) | 0.00552 (1.00)
DEL PEAK 28(21Q21 1) MUTATION ANALYSIS | 9 (2%) | 466 | 0.843 (1.00) | 0.0667 (1.00) | 0.00754 (1.00) | 0.278 (1.00) | 1 (1.00) | 0.59 (1.00) | 0.704 (1.00) | 0.763 (1.00) | 1 (1.00) | 1 (1.00) | 0.605 (1.00) | 0.365 (1.00) | 0.895 (1.00) | 0.313 (1.00) | 0.64 (1.00)
DEL PEAK 29(22Q13 1) MUTATION ANALYSIS | 82 (17%) | 393 | 0.607 (1.00) | 0.847 (1.00) | 0.675 (1.00) | 0.378 (1.00) | 0.255 (1.00) | 0.503 (1.00) | 0.494 (1.00) | 0.262 (1.00) | 0.481 (1.00) | 0.331 (1.00) | 0.113 (1.00) | 0.536 (1.00) | 0.244 (1.00) | 0.14 (1.00) | 0.899 (1.00)
DEL PEAK 30(22Q13 2) MUTATION ANALYSIS | 82 (17%) | 393 | 0.607 (1.00) | 0.847 (1.00) | 0.675 (1.00) | 0.378 (1.00) | 0.255 (1.00) | 0.503 (1.00) | 0.494 (1.00) | 0.262 (1.00) | 0.481 (1.00) | 0.331 (1.00) | 0.113 (1.00) | 0.536 (1.00) | 0.244 (1.00) | 0.14 (1.00) | 0.899 (1.00)
DEL PEAK 31(22Q13 31) MUTATION ANALYSIS | 82 (17%) | 393 | 0.607 (1.00) | 0.847 (1.00) | 0.675 (1.00) | 0.378 (1.00) | 0.255 (1.00) | 0.503 (1.00) | 0.494 (1.00) | 0.262 (1.00) | 0.481 (1.00) | 0.331 (1.00) | 0.113 (1.00) | 0.536 (1.00) | 0.244 (1.00) | 0.14 (1.00) | 0.899 (1.00)
DEL PEAK 32(22Q13 32) MUTATION ANALYSIS | 83 (17%) | 392 | 0.604 (1.00) | 0.889 (1.00) | 0.677 (1.00) | 0.36 (1.00) | 0.208 (1.00) | 0.628 (1.00) | 0.584 (1.00) | 0.191 (1.00) | 0.481 (1.00) | 0.333 (1.00) | 0.103 (1.00) | 0.536 (1.00) | 0.212 (1.00) | 0.111 (1.00) | 0.899 (1.00)
DEL PEAK 33(XQ22 1) MUTATION ANALYSIS | 6 (1%) | 469 | 0.722 (1.00) | 0.204 (1.00) | 0.000795 (0.334) | 0.206 (1.00) | 0.685 (1.00) | 0.182 (1.00) | 0.0439 (1.00) | 1 (1.00) | 1 (1.00) | 0.188 (1.00) | 0.348 (1.00) | 0.293 (1.00) | 0.812 (1.00) | 0.421 (1.00) | 0.483 (1.00)

'DEL PEAK 2(2P23.1) MUTATION STATUS' versus 'NUMBER.OF.LYMPH.NODES'

P value = 2.53e-09 (t-test), Q value = 1.1e-06

Table S1. Gene #2: 'DEL PEAK 2(2P23.1) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 379 | 3.6 (6.2)
DEL PEAK 2(2P23.1) MUTATED | 10 | 0.3 (0.9)
DEL PEAK 2(2P23.1) WILD-TYPE | 369 | 3.7 (6.3)

Figure S1. Get High-res Image Gene #2: 'DEL PEAK 2(2P23.1) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

'DEL PEAK 3(2Q35) MUTATION STATUS' versus 'NEOPLASM.DISEASESTAGE'

P value = 0.000198 (Chi-square test), Q value = 0.083

Table S2. Gene #3: 'DEL PEAK 3(2Q35) MUTATION STATUS' versus Clinical Feature #3: 'NEOPLASM.DISEASESTAGE'

nPatients | STAGE I | STAGE II | STAGE III | STAGE IV | STAGE IVA | STAGE IVC
--- | --- | --- | --- | --- | --- | ---
ALL | 270 | 49 | 106 | 2 | 41 | 5
DEL PEAK 3(2Q35) MUTATED | 3 | 6 | 2 | 0 | 0 | 0
DEL PEAK 3(2Q35) WILD-TYPE | 267 | 43 | 104 | 2 | 41 | 5

Figure S2. Get High-res Image Gene #3: 'DEL PEAK 3(2Q35) MUTATION STATUS' versus Clinical Feature #3: 'NEOPLASM.DISEASESTAGE'

'DEL PEAK 3(2Q35) MUTATION STATUS' versus 'NUMBER.OF.LYMPH.NODES'

P value = 3.83e-25 (t-test), Q value = 1.7e-22

Table S3. Gene #3: 'DEL PEAK 3(2Q35) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 379 | 3.6 (6.2)
DEL PEAK 3(2Q35) MUTATED | 8 | 0.0 (0.0)
DEL PEAK 3(2Q35) WILD-TYPE | 371 | 3.6 (6.3)

Figure S3. Get High-res Image Gene #3: 'DEL PEAK 3(2Q35) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

'DEL PEAK 6(6Q22.31) MUTATION STATUS' versus 'Time to Death'

P value = 9.71e-05 (logrank test), Q value = 0.041

Table S4. Gene #5: 'DEL PEAK 6(6Q22.31) MUTATION STATUS' versus Clinical Feature #1: 'Time to Death'

| nPatients | nDeath | Duration Range (Median), Month
--- | --- | --- | ---
ALL | 470 | 13 | 0.0 - 158.8 (14.2)
DEL PEAK 6(6Q22.31) MUTATED | 5 | 2 | 1.6 - 54.1 (33.6)
DEL PEAK 6(6Q22.31) WILD-TYPE | 465 | 11 | 0.0 - 158.8 (14.0)

Figure S4. Get High-res Image Gene #5: 'DEL PEAK 6(6Q22.31) MUTATION STATUS' versus Clinical Feature #1: 'Time to Death'

'DEL PEAK 9(8P23.2) MUTATION STATUS' versus 'NUMBER.OF.LYMPH.NODES'

P value = 4.19e-25 (t-test), Q value = 1.8e-22

Table S5. Gene #7: 'DEL PEAK 9(8P23.2) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 379 | 3.6 (6.2)
DEL PEAK 9(8P23.2) MUTATED | 4 | 0.0 (0.0)
DEL PEAK 9(8P23.2) WILD-TYPE | 375 | 3.6 (6.3)

Figure S5. Get High-res Image Gene #7: 'DEL PEAK 9(8P23.2) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

'DEL PEAK 10(8P22) MUTATION STATUS' versus 'NUMBER.OF.LYMPH.NODES'

P value = 4.19e-25 (t-test), Q value = 1.8e-22

Table S6. Gene #8: 'DEL PEAK 10(8P22) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 379 | 3.6 (6.2)
DEL PEAK 10(8P22) MUTATED | 4 | 0.0 (0.0)
DEL PEAK 10(8P22) WILD-TYPE | 375 | 3.6 (6.3)

Figure S6. Get High-res Image Gene #8: 'DEL PEAK 10(8P22) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

'DEL PEAK 11(8P12) MUTATION STATUS' versus 'NUMBER.OF.LYMPH.NODES'

P value = 4.19e-25 (t-test), Q value = 1.8e-22

Table S7. Gene #9: 'DEL PEAK 11(8P12) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 379 | 3.6 (6.2)
DEL PEAK 11(8P12) MUTATED | 4 | 0.0 (0.0)
DEL PEAK 11(8P12) WILD-TYPE | 375 | 3.6 (6.3)

Figure S7. Get High-res Image Gene #9: 'DEL PEAK 11(8P12) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

'DEL PEAK 12(8Q24.22) MUTATION STATUS' versus 'NUMBER.OF.LYMPH.NODES'

P value = 4.1e-25 (t-test), Q value = 1.8e-22

Table S8. Gene #10: 'DEL PEAK 12(8Q24.22) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 379 | 3.6 (6.2)
DEL PEAK 12(8Q24.22) MUTATED | 5 | 0.0 (0.0)
DEL PEAK 12(8Q24.22) WILD-TYPE | 374 | 3.6 (6.3)

Figure S8. Get High-res Image Gene #10: 'DEL PEAK 12(8Q24.22) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

'DEL PEAK 13(9Q21.13) MUTATION STATUS' versus 'NEOPLASM.DISEASESTAGE'

P value = 5.93e-11 (Chi-square test), Q value = 2.5e-08

Table S9. Gene #11: 'DEL PEAK 13(9Q21.13) MUTATION STATUS' versus Clinical Feature #3: 'NEOPLASM.DISEASESTAGE'

nPatients | STAGE I | STAGE II | STAGE III | STAGE IV | STAGE IVA | STAGE IVC
--- | --- | --- | --- | --- | --- | ---
ALL | 270 | 49 | 106 | 2 | 41 | 5
DEL PEAK 13(9Q21.13) MUTATED | 6 | 5 | 3 | 2 | 3 | 0
DEL PEAK 13(9Q21.13) WILD-TYPE | 264 | 44 | 103 | 0 | 38 | 5

Figure S9. Get High-res Image Gene #11: 'DEL PEAK 13(9Q21.13) MUTATION STATUS' versus Clinical Feature #3: 'NEOPLASM.DISEASESTAGE'

'DEL PEAK 16(11P15.1) MUTATION STATUS' versus 'AGE'

P value = 0.000502 (t-test), Q value = 0.21

Table S10. Gene #14: 'DEL PEAK 16(11P15.1) MUTATION STATUS' versus Clinical Feature #2: 'AGE'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 475 | 47.0 (15.5)
DEL PEAK 16(11P15.1) MUTATED | 7 | 68.1 (8.7)
DEL PEAK 16(11P15.1) WILD-TYPE | 468 | 46.7 (15.4)

Figure S10. Get High-res Image Gene #14: 'DEL PEAK 16(11P15.1) MUTATION STATUS' versus Clinical Feature #2: 'AGE'

'DEL PEAK 16(11P15.1) MUTATION STATUS' versus 'NEOPLASM.DISEASESTAGE'

P value = 2.17e-07 (Chi-square test), Q value = 9.2e-05

Table S11. Gene #14: 'DEL PEAK 16(11P15.1) MUTATION STATUS' versus Clinical Feature #3: 'NEOPLASM.DISEASESTAGE'

nPatients | STAGE I | STAGE II | STAGE III | STAGE IV | STAGE IVA | STAGE IVC
--- | --- | --- | --- | --- | --- | ---
ALL | 270 | 49 | 106 | 2 | 41 | 5
DEL PEAK 16(11P15.1) MUTATED | 1 | 1 | 4 | 1 | 0 | 0
DEL PEAK 16(11P15.1) WILD-TYPE | 269 | 48 | 102 | 1 | 41 | 5

Figure S11. Get High-res Image Gene #14: 'DEL PEAK 16(11P15.1) MUTATION STATUS' versus Clinical Feature #3: 'NEOPLASM.DISEASESTAGE'

'DEL PEAK 24(18Q22.2) MUTATION STATUS' versus 'NUMBER.OF.LYMPH.NODES'

P value = 6.71e-05 (t-test), Q value = 0.028

Table S12. Gene #21: 'DEL PEAK 24(18Q22.2) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 379 | 3.6 (6.2)
DEL PEAK 24(18Q22.2) MUTATED | 5 | 0.4 (0.9)
DEL PEAK 24(18Q22.2) WILD-TYPE | 374 | 3.6 (6.3)

Figure S12. Get High-res Image Gene #21: 'DEL PEAK 24(18Q22.2) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

'DEL PEAK 34(XQ22.3) MUTATION STATUS' versus 'NEOPLASM.DISEASESTAGE'

P value = 1.57e-06 (Chi-square test), Q value = 0.00067

Table S13. Gene #29: 'DEL PEAK 34(XQ22.3) MUTATION STATUS' versus Clinical Feature #3: 'NEOPLASM.DISEASESTAGE'

nPatients | STAGE I | STAGE II | STAGE III | STAGE IV | STAGE IVA | STAGE IVC
--- | --- | --- | --- | --- | --- | ---
ALL | 270 | 49 | 106 | 2 | 41 | 5
DEL PEAK 34(XQ22.3) MUTATED | 0 | 4 | 0 | 0 | 0 | 0
DEL PEAK 34(XQ22.3) WILD-TYPE | 270 | 45 | 106 | 2 | 41 | 5

Figure S13. Get High-res Image Gene #29: 'DEL PEAK 34(XQ22.3) MUTATION STATUS' versus Clinical Feature #3: 'NEOPLASM.DISEASESTAGE'

'DEL PEAK 34(XQ22.3) MUTATION STATUS' versus 'NUMBER.OF.LYMPH.NODES'

P value = 4.19e-25 (t-test), Q value = 1.8e-22

Table S14. Gene #29: 'DEL PEAK 34(XQ22.3) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 379 | 3.6 (6.2)
DEL PEAK 34(XQ22.3) MUTATED | 4 | 0.0 (0.0)
DEL PEAK 34(XQ22.3) WILD-TYPE | 375 | 3.6 (6.3)

Figure S14. Get High-res Image Gene #29: 'DEL PEAK 34(XQ22.3) MUTATION STATUS' versus Clinical Feature #13: 'NUMBER.OF.LYMPH.NODES'

Methods & Data
Input

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

- Clinical data file = THCA-TP.clin.merged.picked.txt

- Number of patients = 475

- Number of significantly focal cnvs = 29

- Number of selected clinical features = 15

- 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

Chi-square test

For multi-class clinical features (nominal or ordinal), Chi-square tests (Greenwood and Nikulin 1996) were used to estimate the P values using the 'chisq.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.

- Analysis Results (MD5 checksum)

- Auxiliary Data (MD5 checksum)

- MAGE-TAB File (MD5 checksum)

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] Greenwood and Nikulin, A guide to chi-squared testing, Wiley, New York. ISBN 047155779X (1996)
[4] 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)
[5] 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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