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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...

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Autores principales: Seldon, Crystal S., Meiyappan, Karthik, Hoffman, Hannah, Guo, Jimmy A., Goel, Neha, Hwang, William L., Nguyen, Paul L., Mahal, Brandon A., Alshalalfa, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2022
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.
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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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