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Genomic alterations predictive of poor clinical outcomes in pan-cancer
Background: Genomic alterations are highly frequent across cancers, but their prognostic impact is not well characterized in pan-cancer cohorts. Here, we use pan-cancer cohorts from TCGA and MSK-IMPACT to evaluate the associations of common genomic alterations with poor clinical outcome. Materials a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518688/ https://www.ncbi.nlm.nih.gov/pubmed/36187555 http://dx.doi.org/10.18632/oncotarget.28276 |
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author | Seldon, Crystal S. Meiyappan, Karthik Hoffman, Hannah Guo, Jimmy A. Goel, Neha Hwang, William L. Nguyen, Paul L. Mahal, Brandon A. Alshalalfa, Mohammed |
author_facet | Seldon, Crystal S. Meiyappan, Karthik Hoffman, Hannah Guo, Jimmy A. Goel, Neha Hwang, William L. Nguyen, Paul L. Mahal, Brandon A. Alshalalfa, Mohammed |
author_sort | Seldon, Crystal S. |
collection | PubMed |
description | Background: Genomic alterations are highly frequent across cancers, but their prognostic impact is not well characterized in pan-cancer cohorts. Here, we use pan-cancer cohorts from TCGA and MSK-IMPACT to evaluate the associations of common genomic alterations with poor clinical outcome. Materials and Methods: Genomic alterations in commonly altered genes were extracted from Pan-Cancer TCGA and MSK-IMPACT cohorts. Multivariable Cox regression analyses stratified by cancer type defined adjusted hazard ratios (AHRs) for disease-specific survival (DSS), progression-free survival (PFS) and overall survival (OS). Results: Using TCGA we identified 32 mutated genes, and 15 copy number (CN) genes with frequency >= 4% in 9,104 patients across 28 cancers. On UVA, having a TP53-mutations or any mutation in the 31 genes (mut31) were associated with worse PFS (HR: 1.22, p < 0.0001 and HR: 1.1, p = 0.04, respectively) and DSS (HR: 1.38, p < 0.0001, and HR: 1.16, p = 0.03, respectively). CDKN2A, PTEN deletions, and MYC-amplifications were associated with PFS and DSS (p < 0.05 for all). On MVA, including TP53-mutations, mut31, CDKN2A-deletion, PTEN-deletion, and MYC-amplification, all five alterations were independently prognostic of poor PFS and DSS. Similar results were observed in an independent cohort from MSK-IMPACT (n = 7,051) where TP53 was associated with poor OS independent of mut31 and CN alterations in CDKN2A, PTEN, and MYC in primary tumors (p < 0.0001). Conclusions: TP53-mutations, CDKN2A-deletion, PTEN-deletion, and MYC-amplification are independent pan-cancer prognostic genomic alterations. |
format | Online Article Text |
id | pubmed-9518688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-95186882022-09-30 Genomic alterations predictive of poor clinical outcomes in pan-cancer Seldon, Crystal S. Meiyappan, Karthik Hoffman, Hannah Guo, Jimmy A. Goel, Neha Hwang, William L. Nguyen, Paul L. Mahal, Brandon A. Alshalalfa, Mohammed Oncotarget Research Paper Background: Genomic alterations are highly frequent across cancers, but their prognostic impact is not well characterized in pan-cancer cohorts. Here, we use pan-cancer cohorts from TCGA and MSK-IMPACT to evaluate the associations of common genomic alterations with poor clinical outcome. Materials and Methods: Genomic alterations in commonly altered genes were extracted from Pan-Cancer TCGA and MSK-IMPACT cohorts. Multivariable Cox regression analyses stratified by cancer type defined adjusted hazard ratios (AHRs) for disease-specific survival (DSS), progression-free survival (PFS) and overall survival (OS). Results: Using TCGA we identified 32 mutated genes, and 15 copy number (CN) genes with frequency >= 4% in 9,104 patients across 28 cancers. On UVA, having a TP53-mutations or any mutation in the 31 genes (mut31) were associated with worse PFS (HR: 1.22, p < 0.0001 and HR: 1.1, p = 0.04, respectively) and DSS (HR: 1.38, p < 0.0001, and HR: 1.16, p = 0.03, respectively). CDKN2A, PTEN deletions, and MYC-amplifications were associated with PFS and DSS (p < 0.05 for all). On MVA, including TP53-mutations, mut31, CDKN2A-deletion, PTEN-deletion, and MYC-amplification, all five alterations were independently prognostic of poor PFS and DSS. Similar results were observed in an independent cohort from MSK-IMPACT (n = 7,051) where TP53 was associated with poor OS independent of mut31 and CN alterations in CDKN2A, PTEN, and MYC in primary tumors (p < 0.0001). Conclusions: TP53-mutations, CDKN2A-deletion, PTEN-deletion, and MYC-amplification are independent pan-cancer prognostic genomic alterations. Impact Journals LLC 2022-09-28 /pmc/articles/PMC9518688/ /pubmed/36187555 http://dx.doi.org/10.18632/oncotarget.28276 Text en Copyright: © 2022 Seldon et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Seldon, Crystal S. Meiyappan, Karthik Hoffman, Hannah Guo, Jimmy A. Goel, Neha Hwang, William L. Nguyen, Paul L. Mahal, Brandon A. Alshalalfa, Mohammed Genomic alterations predictive of poor clinical outcomes in pan-cancer |
title | Genomic alterations predictive of poor clinical outcomes in pan-cancer |
title_full | Genomic alterations predictive of poor clinical outcomes in pan-cancer |
title_fullStr | Genomic alterations predictive of poor clinical outcomes in pan-cancer |
title_full_unstemmed | Genomic alterations predictive of poor clinical outcomes in pan-cancer |
title_short | Genomic alterations predictive of poor clinical outcomes in pan-cancer |
title_sort | genomic alterations predictive of poor clinical outcomes in pan-cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518688/ https://www.ncbi.nlm.nih.gov/pubmed/36187555 http://dx.doi.org/10.18632/oncotarget.28276 |
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