Thyroid Adenocarcinoma: Correlation between copy number variation genes (focal) and selected clinical features
(primary solid tumor cohort)
Maintained by TCGA GDAC Team (Broad Institute/MD Anderson Cancer Center/Harvard Medical School)
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 24 arm-level results and 15 clinical features across 303 patients, 15 significant findings detected with Q value < 0.25.

- Del Peak 2(2p22.3) cnv correlated to 'NUMBER.OF.LYMPH.NODES' and 'NEOPLASM.DISEASESTAGE'.

- Del Peak 3(2q35) cnv correlated to 'HISTOLOGICAL.TYPE', 'NUMBER.OF.LYMPH.NODES', and 'NEOPLASM.DISEASESTAGE'.

- Del Peak 10(8q24.22) cnv correlated to 'NUMBER.OF.LYMPH.NODES'.

- Del Peak 11(9p21.3) cnv correlated to 'NEOPLASM.DISEASESTAGE'.

- Del Peak 12(9q22.32) cnv correlated to 'NEOPLASM.DISEASESTAGE'.

- Del Peak 15(11p15.1) cnv correlated to 'NUMBER.OF.LYMPH.NODES'.

- Del Peak 16(13q12.3) cnv correlated to 'RADIATIONEXPOSURE'.

- Del Peak 18(15q25.3) cnv correlated to 'NUMBER.OF.LYMPH.NODES'.

- Del Peak 26(21q21.1) cnv correlated to 'NEOPLASM.DISEASESTAGE'.

- Del Peak 30(Xq22.1) cnv correlated to 'NEOPLASM.DISEASESTAGE'.

- Del Peak 31(Xq22.3) cnv correlated to 'NUMBER.OF.LYMPH.NODES' and 'NEOPLASM.DISEASESTAGE'.

Results
Overview of the results

Table 1. Get Full Table Overview of the association between significant copy number variation of 24 arm-level results and 15 clinical features. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, 15 significant findings detected.

|  | Clinical Features | Time to Death | AGE | GENDER | HISTOLOGICAL TYPE | RADIATIONS RADIATION REGIMENINDICATION | RADIATIONEXPOSURE | DISTANT METASTASIS | EXTRATHYROIDAL EXTENSION | LYMPH NODE METASTASIS | COMPLETENESS OF RESECTION | NUMBER OF LYMPH NODES | TUMOR STAGECODE | NEOPLASM DISEASESTAGE | MULTIFOCALITY | TUMOR SIZE
| 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 | Fisher's exact test | Chi-square test | Fisher's exact test | t-test | t-test | Chi-square test | Fisher's exact test | t-test
Del Peak 3(2q35) | 8 (3%) | 295 | 1 (1.00) | 0.0119 (1.00) | 0.684 (1.00) | 0.000425 (0.137) | 1 (1.00) | 1 (1.00) | 0.361 (1.00) | 0.734 (1.00) | 0.18 (1.00) | 0.174 (1.00) | 3.02e-15 (1e-12) |  | 9.03e-05 (0.0293) | 1 (1.00) | 0.135 (1.00)
Del Peak 2(2p22 3) | 9 (3%) | 294 | 1 (1.00) | 0.152 (1.00) | 0.458 (1.00) | 0.0215 (1.00) | 1 (1.00) | 1 (1.00) | 0.273 (1.00) | 0.273 (1.00) | 0.144 (1.00) | 0.585 (1.00) | 2.97e-15 (9.88e-13) |  | 0.000702 (0.224) | 0.747 (1.00) | 0.864 (1.00)
Del Peak 31(Xq22 3) | 4 (1%) | 299 | 1 (1.00) | 0.0625 (1.00) | 0.0501 (1.00) | 0.205 (1.00) | 1 (1.00) | 0.14 (1.00) | 0.17 (1.00) | 0.61 (1.00) | 0.374 (1.00) | 0.292 (1.00) | 3.14e-15 (1.04e-12) |  | 1.17e-06 (0.000383) | 1 (1.00) | 0.387 (1.00)
Del Peak 10(8q24 22) | 5 (2%) | 298 | 1 (1.00) | 0.0552 (1.00) | 0.103 (1.00) | 0.0333 (1.00) | 1 (1.00) | 1 (1.00) | 0.692 (1.00) | 1 (1.00) | 0.468 (1.00) | 0.359 (1.00) | 3.19e-15 (1.05e-12) |  | 0.00396 (1.00) | 0.681 (1.00) | 0.158 (1.00)
Del Peak 11(9p21 3) | 7 (2%) | 296 | 1 (1.00) | 0.0379 (1.00) | 0.684 (1.00) | 0.626 (1.00) | 1 (1.00) | 1 (1.00) | 0.502 (1.00) | 0.311 (1.00) | 0.323 (1.00) | 0.289 (1.00) | 0.00285 (0.904) |  | 1.14e-05 (0.00373) | 0.277 (1.00) | 0.211 (1.00)
Del Peak 12(9q22 32) | 10 (3%) | 293 | 1 (1.00) | 0.121 (1.00) | 1 (1.00) | 0.237 (1.00) | 0.381 (1.00) | 0.366 (1.00) | 0.221 (1.00) | 0.563 (1.00) | 0.0953 (1.00) | 0.63 (1.00) | 0.366 (1.00) |  | 6.48e-05 (0.0211) | 1 (1.00) | 0.967 (1.00)
Del Peak 15(11p15 1) | 4 (1%) | 299 | 0.00468 (1.00) | 0.0307 (1.00) | 0.262 (1.00) | 0.171 (1.00) | 0.173 (1.00) | 1 (1.00) | 0.17 (1.00) | 0.61 (1.00) | 0.374 (1.00) | 0.292 (1.00) | 3.14e-15 (1.04e-12) |  | 0.502 (1.00) | 0.623 (1.00) | 0.204 (1.00)
Del Peak 16(13q12 3) | 10 (3%) | 293 | 0.00468 (1.00) | 0.0126 (1.00) | 0.129 (1.00) | 0.143 (1.00) | 0.381 (1.00) | 0.000379 (0.122) | 0.221 (1.00) | 0.563 (1.00) | 0.291 (1.00) | 0.462 (1.00) | 0.0348 (1.00) |  | 0.106 (1.00) | 0.75 (1.00) | 0.105 (1.00)
Del Peak 18(15q25 3) | 4 (1%) | 299 | 1 (1.00) | 0.24 (1.00) | 0.575 (1.00) | 0.171 (1.00) | 1 (1.00) | 1 (1.00) | 0.17 (1.00) | 1 (1.00) | 0.374 (1.00) | 0.477 (1.00) | 3.14e-15 (1.04e-12) |  | 0.0429 (1.00) | 0.623 (1.00) | 0.529 (1.00)
Del Peak 26(21q21 1) | 7 (2%) | 296 | 1 (1.00) | 0.00405 (1.00) | 1 (1.00) | 0.441 (1.00) | 1 (1.00) | 1 (1.00) | 0.502 (1.00) | 1 (1.00) | 0.338 (1.00) | 0.187 (1.00) | 0.964 (1.00) |  | 0.000257 (0.0829) | 1 (1.00) | 0.599 (1.00)
Del Peak 30(Xq22 1) | 6 (2%) | 297 | 1 (1.00) | 0.174 (1.00) | 0.0365 (1.00) | 0.172 (1.00) | 1 (1.00) | 0.222 (1.00) | 0.279 (1.00) | 0.42 (1.00) | 0.447 (1.00) | 0.23 (1.00) | 0.683 (1.00) |  | 0.000534 (0.171) | 0.684 (1.00) | 0.8 (1.00)
Del Peak 5(6q22 31) | 4 (1%) | 299 | 0.00468 (1.00) | 0.195 (1.00) | 1 (1.00) | 0.799 (1.00) | 0.173 (1.00) | 1 (1.00) | 0.17 (1.00) | 0.61 (1.00) | 0.773 (1.00) | 1 (1.00) | 0.00786 (1.00) |  | 0.0691 (1.00) | 0.366 (1.00) | 0.0277 (1.00)
Del Peak 6(6q27) | 4 (1%) | 299 | 0.00468 (1.00) | 0.195 (1.00) | 1 (1.00) | 0.799 (1.00) | 0.173 (1.00) | 1 (1.00) | 0.17 (1.00) | 0.61 (1.00) | 0.773 (1.00) | 1 (1.00) | 0.00786 (1.00) |  | 0.0691 (1.00) | 0.366 (1.00) | 0.0277 (1.00)
Del Peak 8(7q34) | 4 (1%) | 299 | 1 (1.00) | 0.75 (1.00) | 1 (1.00) | 0.248 (1.00) | 1 (1.00) | 1 (1.00) | 1 (1.00) | 0.61 (1.00) | 0.773 (1.00) | 1 (1.00) | 0.389 (1.00) |  | 0.691 (1.00) | 0.366 (1.00) | 0.255 (1.00)
Del Peak 13(10q21 2) | 7 (2%) | 296 | 1 (1.00) | 0.552 (1.00) | 1 (1.00) | 0.0731 (1.00) | 0.284 (1.00) | 1 (1.00) | 1 (1.00) | 1 (1.00) | 0.591 (1.00) | 0.681 (1.00) | 0.307 (1.00) |  | 0.594 (1.00) | 1 (1.00) | 0.0189 (1.00)
Del Peak 14(10q23 31) | 8 (3%) | 295 | 1 (1.00) | 0.0193 (1.00) | 0.419 (1.00) | 0.0244 (1.00) | 1 (1.00) | 1 (1.00) | 0.754 (1.00) | 0.734 (1.00) | 0.232 (1.00) | 1 (1.00) | 0.0639 (1.00) |  | 0.00906 (1.00) | 0.72 (1.00) | 0.03 (1.00)
Del Peak 17(13q14 3) | 13 (4%) | 290 | 0.00468 (1.00) | 0.171 (1.00) | 0.324 (1.00) | 0.184 (1.00) | 0.116 (1.00) | 0.000937 (0.298) | 0.356 (1.00) | 0.462 (1.00) | 0.145 (1.00) | 0.848 (1.00) | 0.0403 (1.00) |  | 0.504 (1.00) | 0.378 (1.00) | 0.275 (1.00)
Del Peak 20(16q23 3) | 3 (1%) | 300 | 1 (1.00) | 0.316 (1.00) | 0.575 (1.00) | 0.0145 (1.00) | 1 (1.00) | 0.14 (1.00) | 1 (1.00) | 0.2 (1.00) | 0.707 (1.00) | 0.222 (1.00) | 0.0615 (1.00) |  | 0.141 (1.00) | 1 (1.00) |
Del Peak 21(17p13 1) | 5 (2%) | 298 | 1 (1.00) | 0.929 (1.00) | 0.336 (1.00) | 0.369 (1.00) | 0.0183 (1.00) | 1 (1.00) | 0.415 (1.00) | 0.112 (1.00) | 0.267 (1.00) | 1 (1.00) | 0.307 (1.00) |  | 0.195 (1.00) | 0.209 (1.00) | 0.278 (1.00)
Del Peak 22(18p11 21) | 3 (1%) | 300 | 1 (1.00) | 0.97 (1.00) | 0.575 (1.00) | 1 (1.00) | 1 (1.00) | 1 (1.00) | 1 (1.00) | 1 (1.00) | 0.862 (1.00) | 1 (1.00) | 0.0615 (1.00) |  | 0.0425 (1.00) | 0.619 (1.00) | 0.665 (1.00)
Del Peak 23(19p13 2) | 4 (1%) | 299 | 1 (1.00) | 0.0245 (1.00) | 1 (1.00) | 0.171 (1.00) | 1 (1.00) | 1 (1.00) | 0.62 (1.00) | 1 (1.00) | 0.0943 (1.00) | 0.222 (1.00) |  |  | 0.703 (1.00) | 0.366 (1.00) |
Del Peak 27(22q13 31) | 53 (17%) | 250 | 0.724 (1.00) | 0.726 (1.00) | 0.729 (1.00) | 0.0482 (1.00) | 0.477 (1.00) | 0.473 (1.00) | 0.738 (1.00) | 0.519 (1.00) | 0.422 (1.00) | 0.413 (1.00) | 0.607 (1.00) |  | 0.815 (1.00) | 0.125 (1.00) | 0.35 (1.00)
Del Peak 28(22q13 2) | 53 (17%) | 250 | 0.724 (1.00) | 0.726 (1.00) | 0.729 (1.00) | 0.0482 (1.00) | 0.477 (1.00) | 0.473 (1.00) | 0.738 (1.00) | 0.519 (1.00) | 0.422 (1.00) | 0.413 (1.00) | 0.607 (1.00) |  | 0.815 (1.00) | 0.125 (1.00) | 0.35 (1.00)
Del Peak 29(22q13 32) | 54 (18%) | 249 | 0.724 (1.00) | 0.774 (1.00) | 0.729 (1.00) | 0.0276 (1.00) | 0.477 (1.00) | 0.473 (1.00) | 0.827 (1.00) | 0.519 (1.00) | 0.376 (1.00) | 0.413 (1.00) | 0.537 (1.00) |  | 0.835 (1.00) | 0.0939 (1.00) | 0.35 (1.00)

'Del Peak 2(2p22.3) mutation analysis' versus 'NUMBER.OF.LYMPH.NODES'

P value = 2.97e-15 (t-test), Q value = 9.9e-13

Table S1. Gene #1: 'Del Peak 2(2p22.3) mutation analysis' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 242 | 2.8 (5.1)
DEL PEAK 2(2P22.3) MUTATED | 7 | 0.0 (0.0)
DEL PEAK 2(2P22.3) WILD-TYPE | 235 | 2.9 (5.2)

Figure S1. Get High-res Image Gene #1: 'Del Peak 2(2p22.3) mutation analysis' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

'Del Peak 2(2p22.3) mutation analysis' versus 'NEOPLASM.DISEASESTAGE'

P value = 0.000702 (Chi-square test), Q value = 0.22

Table S2. Gene #1: 'Del Peak 2(2p22.3) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

nPatients | STAGE I | STAGE II | STAGE III | STAGE IVA | STAGE IVC
--- | --- | --- | --- | --- | ---
ALL | 173 | 33 | 66 | 27 | 3
DEL PEAK 2(2P22.3) MUTATED | 3 | 5 | 1 | 0 | 0
DEL PEAK 2(2P22.3) WILD-TYPE | 170 | 28 | 65 | 27 | 3

Figure S2. Get High-res Image Gene #1: 'Del Peak 2(2p22.3) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

'Del Peak 3(2q35) mutation analysis' versus 'HISTOLOGICAL.TYPE'

P value = 0.000425 (Fisher's exact test), Q value = 0.14

Table S3. Gene #2: 'Del Peak 3(2q35) mutation analysis' versus Clinical Feature #4: 'HISTOLOGICAL.TYPE'

nPatients | OTHER | THYROID PAPILLARY CARCINOMA - CLASSICAL/USUAL | THYROID PAPILLARY CARCINOMA - FOLLICULAR (>= 99% FOLLICULAR PATTERNED) | THYROID PAPILLARY CARCINOMA - TALL CELL (>= 50% TALL CELL FEATURES)
--- | --- | --- | --- | ---
ALL | 20 | 178 | 75 | 30
DEL PEAK 3(2Q35) MUTATED | 4 | 1 | 3 | 0
DEL PEAK 3(2Q35) WILD-TYPE | 16 | 177 | 72 | 30

Figure S3. Get High-res Image Gene #2: 'Del Peak 3(2q35) mutation analysis' versus Clinical Feature #4: 'HISTOLOGICAL.TYPE'

'Del Peak 3(2q35) mutation analysis' versus 'NUMBER.OF.LYMPH.NODES'

P value = 3.02e-15 (t-test), Q value = 1e-12

Table S4. Gene #2: 'Del Peak 3(2q35) mutation analysis' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 242 | 2.8 (5.1)
DEL PEAK 3(2Q35) MUTATED | 6 | 0.0 (0.0)
DEL PEAK 3(2Q35) WILD-TYPE | 236 | 2.8 (5.2)

Figure S4. Get High-res Image Gene #2: 'Del Peak 3(2q35) mutation analysis' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

'Del Peak 3(2q35) mutation analysis' versus 'NEOPLASM.DISEASESTAGE'

P value = 9.03e-05 (Chi-square test), Q value = 0.029

Table S5. Gene #2: 'Del Peak 3(2q35) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

nPatients | STAGE I | STAGE II | STAGE III | STAGE IVA | STAGE IVC
--- | --- | --- | --- | --- | ---
ALL | 173 | 33 | 66 | 27 | 3
DEL PEAK 3(2Q35) MUTATED | 1 | 5 | 2 | 0 | 0
DEL PEAK 3(2Q35) WILD-TYPE | 172 | 28 | 64 | 27 | 3

Figure S5. Get High-res Image Gene #2: 'Del Peak 3(2q35) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

'Del Peak 10(8q24.22) mutation analysis' versus 'NUMBER.OF.LYMPH.NODES'

P value = 3.19e-15 (t-test), Q value = 1e-12

Table S6. Gene #6: 'Del Peak 10(8q24.22) mutation analysis' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 242 | 2.8 (5.1)
DEL PEAK 10(8Q24.22) MUTATED | 3 | 0.0 (0.0)
DEL PEAK 10(8Q24.22) WILD-TYPE | 239 | 2.8 (5.1)

Figure S6. Get High-res Image Gene #6: 'Del Peak 10(8q24.22) mutation analysis' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

'Del Peak 11(9p21.3) mutation analysis' versus 'NEOPLASM.DISEASESTAGE'

P value = 1.14e-05 (Chi-square test), Q value = 0.0037

Table S7. Gene #7: 'Del Peak 11(9p21.3) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

nPatients | STAGE I | STAGE II | STAGE III | STAGE IVA | STAGE IVC
--- | --- | --- | --- | --- | ---
ALL | 173 | 33 | 66 | 27 | 3
DEL PEAK 11(9P21.3) MUTATED | 1 | 5 | 0 | 1 | 0
DEL PEAK 11(9P21.3) WILD-TYPE | 172 | 28 | 66 | 26 | 3

Figure S7. Get High-res Image Gene #7: 'Del Peak 11(9p21.3) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

'Del Peak 12(9q22.32) mutation analysis' versus 'NEOPLASM.DISEASESTAGE'

P value = 6.48e-05 (Chi-square test), Q value = 0.021

Table S8. Gene #8: 'Del Peak 12(9q22.32) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

nPatients | STAGE I | STAGE II | STAGE III | STAGE IVA | STAGE IVC
--- | --- | --- | --- | --- | ---
ALL | 173 | 33 | 66 | 27 | 3
DEL PEAK 12(9Q22.32) MUTATED | 2 | 5 | 0 | 3 | 0
DEL PEAK 12(9Q22.32) WILD-TYPE | 171 | 28 | 66 | 24 | 3

Figure S8. Get High-res Image Gene #8: 'Del Peak 12(9q22.32) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

'Del Peak 15(11p15.1) mutation analysis' versus 'NUMBER.OF.LYMPH.NODES'

P value = 3.14e-15 (t-test), Q value = 1e-12

Table S9. Gene #11: 'Del Peak 15(11p15.1) mutation analysis' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 242 | 2.8 (5.1)
DEL PEAK 15(11P15.1) MUTATED | 4 | 0.0 (0.0)
DEL PEAK 15(11P15.1) WILD-TYPE | 238 | 2.8 (5.2)

Figure S9. Get High-res Image Gene #11: 'Del Peak 15(11p15.1) mutation analysis' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

'Del Peak 16(13q12.3) mutation analysis' versus 'RADIATIONEXPOSURE'

P value = 0.000379 (Fisher's exact test), Q value = 0.12

Table S10. Gene #12: 'Del Peak 16(13q12.3) mutation analysis' versus Clinical Feature #6: 'RADIATIONEXPOSURE'

nPatients | NO | YES
--- | --- | ---
ALL | 254 | 13
DEL PEAK 16(13Q12.3) MUTATED | 5 | 4
DEL PEAK 16(13Q12.3) WILD-TYPE | 249 | 9

Figure S10. Get High-res Image Gene #12: 'Del Peak 16(13q12.3) mutation analysis' versus Clinical Feature #6: 'RADIATIONEXPOSURE'

'Del Peak 18(15q25.3) mutation analysis' versus 'NUMBER.OF.LYMPH.NODES'

P value = 3.14e-15 (t-test), Q value = 1e-12

Table S11. Gene #14: 'Del Peak 18(15q25.3) mutation analysis' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 242 | 2.8 (5.1)
DEL PEAK 18(15Q25.3) MUTATED | 4 | 0.0 (0.0)
DEL PEAK 18(15Q25.3) WILD-TYPE | 238 | 2.8 (5.2)

Figure S11. Get High-res Image Gene #14: 'Del Peak 18(15q25.3) mutation analysis' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

'Del Peak 26(21q21.1) mutation analysis' versus 'NEOPLASM.DISEASESTAGE'

P value = 0.000257 (Chi-square test), Q value = 0.083

Table S12. Gene #19: 'Del Peak 26(21q21.1) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

nPatients | STAGE I | STAGE II | STAGE III | STAGE IVA | STAGE IVC
--- | --- | --- | --- | --- | ---
ALL | 173 | 33 | 66 | 27 | 3
DEL PEAK 26(21Q21.1) MUTATED | 0 | 4 | 1 | 2 | 0
DEL PEAK 26(21Q21.1) WILD-TYPE | 173 | 29 | 65 | 25 | 3

Figure S12. Get High-res Image Gene #19: 'Del Peak 26(21q21.1) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

'Del Peak 30(Xq22.1) mutation analysis' versus 'NEOPLASM.DISEASESTAGE'

P value = 0.000534 (Chi-square test), Q value = 0.17

Table S13. Gene #23: 'Del Peak 30(Xq22.1) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

nPatients | STAGE I | STAGE II | STAGE III | STAGE IVA | STAGE IVC
--- | --- | --- | --- | --- | ---
ALL | 173 | 33 | 66 | 27 | 3
DEL PEAK 30(XQ22.1) MUTATED | 1 | 4 | 1 | 0 | 0
DEL PEAK 30(XQ22.1) WILD-TYPE | 172 | 29 | 65 | 27 | 3

Figure S13. Get High-res Image Gene #23: 'Del Peak 30(Xq22.1) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

'Del Peak 31(Xq22.3) mutation analysis' versus 'NUMBER.OF.LYMPH.NODES'

P value = 3.14e-15 (t-test), Q value = 1e-12

Table S14. Gene #24: 'Del Peak 31(Xq22.3) mutation analysis' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

| nPatients | Mean (Std.Dev)
--- | --- | ---
ALL | 242 | 2.8 (5.1)
DEL PEAK 31(XQ22.3) MUTATED | 4 | 0.0 (0.0)
DEL PEAK 31(XQ22.3) WILD-TYPE | 238 | 2.8 (5.2)

Figure S14. Get High-res Image Gene #24: 'Del Peak 31(Xq22.3) mutation analysis' versus Clinical Feature #11: 'NUMBER.OF.LYMPH.NODES'

'Del Peak 31(Xq22.3) mutation analysis' versus 'NEOPLASM.DISEASESTAGE'

P value = 1.17e-06 (Chi-square test), Q value = 0.00038

Table S15. Gene #24: 'Del Peak 31(Xq22.3) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

nPatients | STAGE I | STAGE II | STAGE III | STAGE IVA | STAGE IVC
--- | --- | --- | --- | --- | ---
ALL | 173 | 33 | 66 | 27 | 3
DEL PEAK 31(XQ22.3) MUTATED | 0 | 4 | 0 | 0 | 0
DEL PEAK 31(XQ22.3) WILD-TYPE | 173 | 29 | 66 | 27 | 3

Figure S15. Get High-res Image Gene #24: 'Del Peak 31(Xq22.3) mutation analysis' versus Clinical Feature #13: 'NEOPLASM.DISEASESTAGE'

Methods & Data
Input

- Mutation data file = all_lesions.conf_99.cnv.cluster.txt

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

- Number of patients = 303

- Number of significantly arm-level cnvs = 24

- 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

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

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

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

This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.

- 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] 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] Greenwood and Nikulin, A guide to chi-squared testing, Wiley, New York. ISBN 047155779X (1996)
[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)
Copyright © 2013 Broad Institute TCGA GDAC as part of the TCGA Research Network. All rights reserved.
Made with Nozzle