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ABSTRACT: 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.
SUBMITTER: Seldon CS
PROVIDER: S-EPMC9518688 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Seldon Crystal S CS Meiyappan Karthik K Hoffman Hannah H Guo Jimmy A JA Goel Neha N Hwang William L WL Nguyen Paul L PL Mahal Brandon A BA Alshalalfa Mohammed M
Oncotarget 20220928
<h4>Background</h4>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.<h4>Materials and methods</h4>Genomic alterations in commonly altered genes were extracted from Pan-Cancer TCGA and MSK-IMPACT cohorts. Multivariable Cox regression analyses stratified by cancer type defin ...[more]