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Prognostic role of multiple abnormal genes in non-small-cell lung cancer

BACKGROUND: Non-small-cell lung cancer (NSCLC) has the highest morbidity and mortality rates among all malignant tumor types. Although therapies targeting the mutated genes such as KRAS have been used in the clinic for many years, the prognosis remains poor. Therefore, it is necessary to further stu...

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Autores principales: Yan, Lu-Da, Yang, Liu, Li, Na, Wang, Meng, Zhang, Yan-Hua, Zhou, Wen, Yu, Zhi-Qiong, Peng, Xiao-Chun, Cai, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372825/
https://www.ncbi.nlm.nih.gov/pubmed/36158484
http://dx.doi.org/10.12998/wjcc.v10.i22.7772
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author Yan, Lu-Da
Yang, Liu
Li, Na
Wang, Meng
Zhang, Yan-Hua
Zhou, Wen
Yu, Zhi-Qiong
Peng, Xiao-Chun
Cai, Jun
author_facet Yan, Lu-Da
Yang, Liu
Li, Na
Wang, Meng
Zhang, Yan-Hua
Zhou, Wen
Yu, Zhi-Qiong
Peng, Xiao-Chun
Cai, Jun
author_sort Yan, Lu-Da
collection PubMed
description BACKGROUND: Non-small-cell lung cancer (NSCLC) has the highest morbidity and mortality rates among all malignant tumor types. Although therapies targeting the mutated genes such as KRAS have been used in the clinic for many years, the prognosis remains poor. Therefore, it is necessary to further study the aberrant expression or mutation of non-target genes affecting the survival and prognosis. AIM: To explore the impact of simultaneous abnormalities of multiple genes on the prognosis and survival of patients. METHODS: We used R packages to analyze gene expression data and clinical data downloaded from The Cancer Genome Atlas (TCGA) database. We also collected samples from 85 NSCLC patients from the First People’s Hospital of Jingzhou City and retrospectively followed the patients. Multivariate Cox regression analysis and survival analysis were performed. RESULTS: Analysis of gene expression data from TCGA revealed that the overexpression of the following single genes affected overall survival: TP53 (P = 0.79), PTEN (P = 0.94), RB1 (P = 0.49), CTNNB1 (P = 0.24), STK11 (P = 0.32), and PIK3CA (P = 0.013). However, the probability of multiple genes (TP53, PTEN, RB1, and STK11) affecting survival was 0.025. Retrospective analysis of clinical data revealed that sex (hazard ratio [HR] = 1.29; [95%CI: 0.64-2.62]), age (HR = 1.05; [95%CI: 1.02-1.07]), smoking status (HR = 2.26; [95%CI: 1.16-4.39]), tumor histology (HR = 0.58; [95%CI: 0.30-1.11]), cancer stage (HR = 16.63; [95%CI: 4.8-57.63]), epidermal growth factor receptor (EGFR) mutation (HR = 1.82; [95%CI: 1.05-3.16]), abundance (HR = 4.95; [95%CI: 0.78-31.36]), and treatment with tyrosine kinase inhibitors (TKIs) (HR = 0.58; [95%CI: 0.43-0.78]) affected patient survival. Co-occurring mutations of TP53, PTEN, RB1, and STK11 did not significantly affect the overall survival of patients receiving chemotherapy (P = 0.96) but significantly affected the overall survival of patients receiving TKIs (P = 0.045). CONCLUSION: Co-occurring mutation or overexpression of different genes has different effects on the overall survival and prognosis of NSCLC patients. Combined with TKI treatment, the co-occurring mutation of some genes may have a synergistic effect on the survival and prognosis of NSCLC patients.
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spelling pubmed-93728252022-09-23 Prognostic role of multiple abnormal genes in non-small-cell lung cancer Yan, Lu-Da Yang, Liu Li, Na Wang, Meng Zhang, Yan-Hua Zhou, Wen Yu, Zhi-Qiong Peng, Xiao-Chun Cai, Jun World J Clin Cases Retrospective Study BACKGROUND: Non-small-cell lung cancer (NSCLC) has the highest morbidity and mortality rates among all malignant tumor types. Although therapies targeting the mutated genes such as KRAS have been used in the clinic for many years, the prognosis remains poor. Therefore, it is necessary to further study the aberrant expression or mutation of non-target genes affecting the survival and prognosis. AIM: To explore the impact of simultaneous abnormalities of multiple genes on the prognosis and survival of patients. METHODS: We used R packages to analyze gene expression data and clinical data downloaded from The Cancer Genome Atlas (TCGA) database. We also collected samples from 85 NSCLC patients from the First People’s Hospital of Jingzhou City and retrospectively followed the patients. Multivariate Cox regression analysis and survival analysis were performed. RESULTS: Analysis of gene expression data from TCGA revealed that the overexpression of the following single genes affected overall survival: TP53 (P = 0.79), PTEN (P = 0.94), RB1 (P = 0.49), CTNNB1 (P = 0.24), STK11 (P = 0.32), and PIK3CA (P = 0.013). However, the probability of multiple genes (TP53, PTEN, RB1, and STK11) affecting survival was 0.025. Retrospective analysis of clinical data revealed that sex (hazard ratio [HR] = 1.29; [95%CI: 0.64-2.62]), age (HR = 1.05; [95%CI: 1.02-1.07]), smoking status (HR = 2.26; [95%CI: 1.16-4.39]), tumor histology (HR = 0.58; [95%CI: 0.30-1.11]), cancer stage (HR = 16.63; [95%CI: 4.8-57.63]), epidermal growth factor receptor (EGFR) mutation (HR = 1.82; [95%CI: 1.05-3.16]), abundance (HR = 4.95; [95%CI: 0.78-31.36]), and treatment with tyrosine kinase inhibitors (TKIs) (HR = 0.58; [95%CI: 0.43-0.78]) affected patient survival. Co-occurring mutations of TP53, PTEN, RB1, and STK11 did not significantly affect the overall survival of patients receiving chemotherapy (P = 0.96) but significantly affected the overall survival of patients receiving TKIs (P = 0.045). CONCLUSION: Co-occurring mutation or overexpression of different genes has different effects on the overall survival and prognosis of NSCLC patients. Combined with TKI treatment, the co-occurring mutation of some genes may have a synergistic effect on the survival and prognosis of NSCLC patients. Baishideng Publishing Group Inc 2022-08-06 2022-08-06 /pmc/articles/PMC9372825/ /pubmed/36158484 http://dx.doi.org/10.12998/wjcc.v10.i22.7772 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Retrospective Study
Yan, Lu-Da
Yang, Liu
Li, Na
Wang, Meng
Zhang, Yan-Hua
Zhou, Wen
Yu, Zhi-Qiong
Peng, Xiao-Chun
Cai, Jun
Prognostic role of multiple abnormal genes in non-small-cell lung cancer
title Prognostic role of multiple abnormal genes in non-small-cell lung cancer
title_full Prognostic role of multiple abnormal genes in non-small-cell lung cancer
title_fullStr Prognostic role of multiple abnormal genes in non-small-cell lung cancer
title_full_unstemmed Prognostic role of multiple abnormal genes in non-small-cell lung cancer
title_short Prognostic role of multiple abnormal genes in non-small-cell lung cancer
title_sort prognostic role of multiple abnormal genes in non-small-cell lung cancer
topic Retrospective Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372825/
https://www.ncbi.nlm.nih.gov/pubmed/36158484
http://dx.doi.org/10.12998/wjcc.v10.i22.7772
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