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Mutation patterns and evolutionary action score of TP53 enable identification of a patient population with poor prognosis in advanced non‐small cell lung cancer

BACKGROUND: TP53 mutations are frequent in non‐small cell lung cancer (NSCLC). Different categories of TP53 mutations may be associated with survival in advanced NSCLC, but their effect on prognosis is diverse. To date, a comprehensive comparison of the relationship between different classes of TP53...

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Autores principales: Jiang, Wensheng, Cheng, Huanqing, Yu, Lili, Zhang, Jie, Wang, Yihui, Liang, Yun, Lou, Feng, Wang, Huina, Cao, Shanbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067094/
https://www.ncbi.nlm.nih.gov/pubmed/36440695
http://dx.doi.org/10.1002/cam4.5447
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author Jiang, Wensheng
Cheng, Huanqing
Yu, Lili
Zhang, Jie
Wang, Yihui
Liang, Yun
Lou, Feng
Wang, Huina
Cao, Shanbo
author_facet Jiang, Wensheng
Cheng, Huanqing
Yu, Lili
Zhang, Jie
Wang, Yihui
Liang, Yun
Lou, Feng
Wang, Huina
Cao, Shanbo
author_sort Jiang, Wensheng
collection PubMed
description BACKGROUND: TP53 mutations are frequent in non‐small cell lung cancer (NSCLC). Different categories of TP53 mutations may be associated with survival in advanced NSCLC, but their effect on prognosis is diverse. To date, a comprehensive comparison of the relationship between different classes of TP53 alterations and survival in advanced NSCLC has rarely been performed. Moreover, the prognostic significance of a novel approach called the evolutionary action of TP53 (EAp53) in advanced NSCLC is unclear. METHODS: A total of 210 patients with NSCLC harboring TP53 mutation data were enrolled. Genomic and clinical data for the Memorial Sloan Kettering Cancer Center (MSKCC) cohort with advanced NSCLC were obtained from cBioPortal. Relationship between clinical characteristics and TP53 mutations was performed by Fisher's exact test or χ(2) test. Overall survival (OS) analysis was evaluated using Kaplan–Meier method and Cox proportional hazards regression model. RESULTS: TP53 mutations were identified in 51.4% of NSCLC patients and were mainly located in exons 5, 7, and 8. The distribution patterns of missense and truncating mutations of TP53 were remarkably different. Among patients with advanced NSCLC who never received immune checkpoint inhibitor treatments, EAp53 high‐risk mutations were significantly associated with poor OS in both our cohort and the MSKCC cohort. Moreover, marked differences were observed in the mutational landscape between patients with EAp53 high‐risk mutations (HR group) and other patients (OT group). The HR group displayed higher mutation frequencies in the RTK, cell cycle, and DNA damage repair (DDR) pathways than the OT group. In addition, the tumor mutation burden in the HR group was significantly higher than that in the OT group. CONCLUSIONS: This study provided important insights into the molecular‐clinical profile of TP53‐mutated NSCLC patients. Moreover, the data revealed that EAp53 high‐risk mutations were an independent prognostic factor for worse OS in advanced NSCLC.
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spelling pubmed-100670942023-04-03 Mutation patterns and evolutionary action score of TP53 enable identification of a patient population with poor prognosis in advanced non‐small cell lung cancer Jiang, Wensheng Cheng, Huanqing Yu, Lili Zhang, Jie Wang, Yihui Liang, Yun Lou, Feng Wang, Huina Cao, Shanbo Cancer Med RESEARCH ARTICLES BACKGROUND: TP53 mutations are frequent in non‐small cell lung cancer (NSCLC). Different categories of TP53 mutations may be associated with survival in advanced NSCLC, but their effect on prognosis is diverse. To date, a comprehensive comparison of the relationship between different classes of TP53 alterations and survival in advanced NSCLC has rarely been performed. Moreover, the prognostic significance of a novel approach called the evolutionary action of TP53 (EAp53) in advanced NSCLC is unclear. METHODS: A total of 210 patients with NSCLC harboring TP53 mutation data were enrolled. Genomic and clinical data for the Memorial Sloan Kettering Cancer Center (MSKCC) cohort with advanced NSCLC were obtained from cBioPortal. Relationship between clinical characteristics and TP53 mutations was performed by Fisher's exact test or χ(2) test. Overall survival (OS) analysis was evaluated using Kaplan–Meier method and Cox proportional hazards regression model. RESULTS: TP53 mutations were identified in 51.4% of NSCLC patients and were mainly located in exons 5, 7, and 8. The distribution patterns of missense and truncating mutations of TP53 were remarkably different. Among patients with advanced NSCLC who never received immune checkpoint inhibitor treatments, EAp53 high‐risk mutations were significantly associated with poor OS in both our cohort and the MSKCC cohort. Moreover, marked differences were observed in the mutational landscape between patients with EAp53 high‐risk mutations (HR group) and other patients (OT group). The HR group displayed higher mutation frequencies in the RTK, cell cycle, and DNA damage repair (DDR) pathways than the OT group. In addition, the tumor mutation burden in the HR group was significantly higher than that in the OT group. CONCLUSIONS: This study provided important insights into the molecular‐clinical profile of TP53‐mutated NSCLC patients. Moreover, the data revealed that EAp53 high‐risk mutations were an independent prognostic factor for worse OS in advanced NSCLC. John Wiley and Sons Inc. 2022-11-28 /pmc/articles/PMC10067094/ /pubmed/36440695 http://dx.doi.org/10.1002/cam4.5447 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
Jiang, Wensheng
Cheng, Huanqing
Yu, Lili
Zhang, Jie
Wang, Yihui
Liang, Yun
Lou, Feng
Wang, Huina
Cao, Shanbo
Mutation patterns and evolutionary action score of TP53 enable identification of a patient population with poor prognosis in advanced non‐small cell lung cancer
title Mutation patterns and evolutionary action score of TP53 enable identification of a patient population with poor prognosis in advanced non‐small cell lung cancer
title_full Mutation patterns and evolutionary action score of TP53 enable identification of a patient population with poor prognosis in advanced non‐small cell lung cancer
title_fullStr Mutation patterns and evolutionary action score of TP53 enable identification of a patient population with poor prognosis in advanced non‐small cell lung cancer
title_full_unstemmed Mutation patterns and evolutionary action score of TP53 enable identification of a patient population with poor prognosis in advanced non‐small cell lung cancer
title_short Mutation patterns and evolutionary action score of TP53 enable identification of a patient population with poor prognosis in advanced non‐small cell lung cancer
title_sort mutation patterns and evolutionary action score of tp53 enable identification of a patient population with poor prognosis in advanced non‐small cell lung cancer
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067094/
https://www.ncbi.nlm.nih.gov/pubmed/36440695
http://dx.doi.org/10.1002/cam4.5447
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