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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Baishideng Publishing Group Inc
2022
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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. |
format | Online Article Text |
id | pubmed-9372825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
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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