Cargando…
Identification of SRXN1 and KRT6A as Key Genes in Smoking-Related Non-Small-Cell Lung Cancer Through Bioinformatics and Functional Analyses
BACKGROUND: Lung cancer is the leading cause of cancer-related mortality worldwide. Although cigarette smoking is an established risk factor for lung cancer, few reliable smoking-related biomarkers for non-small-cell lung cancer (NSCLC) are available. An improved understanding of these biomarkers wo...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767109/ https://www.ncbi.nlm.nih.gov/pubmed/35071014 http://dx.doi.org/10.3389/fonc.2021.810301 |
_version_ | 1784634665246654464 |
---|---|
author | Zhou, Jiazhen Jiang, Guanqing Xu, Enwu Zhou, Jiaxin Liu, Lili Yang, Qiaoyuan |
author_facet | Zhou, Jiazhen Jiang, Guanqing Xu, Enwu Zhou, Jiaxin Liu, Lili Yang, Qiaoyuan |
author_sort | Zhou, Jiazhen |
collection | PubMed |
description | BACKGROUND: Lung cancer is the leading cause of cancer-related mortality worldwide. Although cigarette smoking is an established risk factor for lung cancer, few reliable smoking-related biomarkers for non-small-cell lung cancer (NSCLC) are available. An improved understanding of these biomarkers would further the development of new biomarker-targeted therapies and lead to improvements in overall patient survival. METHODS: We performed bioinformatic analysis to screened potential target genes, then quantitative PCR, western, siRNA, CCK-8, flow cytometry, tumorigenicity assays in nude mice were performed to validated the function. RESULTS: In this study, we identified 83 smoking-related genes (SRGs) based on an integration analysis of two Gene Expression Omnibus (GEO) datasets, and 27 hub SRGs with potential carcinogenic effects by analyzing a dataset of smokers with NSCLC in The Cancer Genome Atlas (TCGA) database. A survival analysis revealed three genes with potential prognostic value, namely SRXN1, KRT6A and JAKMIP3. A univariate Cox analysis revealed significant associations of elevated SRXN1 and KRT6A expression with prognosis. A receiver operating characteristic (ROC) curve analysis indicated the high diagnostic value of SRXN1 and KRT6A for smoking and cancer. Quantitative PCR and western blotting validated the increased expression of SRXN1 and KRT6A mRNA and protein, respectively, in lung cancer cell lines and NSCLC tissues. In patients with NSCLC, SRXN1 and KRT6A expression was associated with the tumor–node–metastasis (TNM) stage, presence of metastasis, history of smoking and daily smoking consumption. Furthermore, inhibition of SRXN1 or KRT6A suppressed viability and enhanced apoptosis in the A549 human lung carcinoma cell line. Tumorigenicity assays in nude mice confirmed that the siRNA-mediated downregulation of SRXN1 and KRT6A expression inhibited tumor growth in vivo. CONCLUSIONS: In summary, SRXN1 and KRT6A act as oncogenes in NSCLC and might be potential biomarkers of smoking exposure and the early diagnosis and prognosis of NSCLC in smokers, which is vital for lung cancer therapy. |
format | Online Article Text |
id | pubmed-8767109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87671092022-01-20 Identification of SRXN1 and KRT6A as Key Genes in Smoking-Related Non-Small-Cell Lung Cancer Through Bioinformatics and Functional Analyses Zhou, Jiazhen Jiang, Guanqing Xu, Enwu Zhou, Jiaxin Liu, Lili Yang, Qiaoyuan Front Oncol Oncology BACKGROUND: Lung cancer is the leading cause of cancer-related mortality worldwide. Although cigarette smoking is an established risk factor for lung cancer, few reliable smoking-related biomarkers for non-small-cell lung cancer (NSCLC) are available. An improved understanding of these biomarkers would further the development of new biomarker-targeted therapies and lead to improvements in overall patient survival. METHODS: We performed bioinformatic analysis to screened potential target genes, then quantitative PCR, western, siRNA, CCK-8, flow cytometry, tumorigenicity assays in nude mice were performed to validated the function. RESULTS: In this study, we identified 83 smoking-related genes (SRGs) based on an integration analysis of two Gene Expression Omnibus (GEO) datasets, and 27 hub SRGs with potential carcinogenic effects by analyzing a dataset of smokers with NSCLC in The Cancer Genome Atlas (TCGA) database. A survival analysis revealed three genes with potential prognostic value, namely SRXN1, KRT6A and JAKMIP3. A univariate Cox analysis revealed significant associations of elevated SRXN1 and KRT6A expression with prognosis. A receiver operating characteristic (ROC) curve analysis indicated the high diagnostic value of SRXN1 and KRT6A for smoking and cancer. Quantitative PCR and western blotting validated the increased expression of SRXN1 and KRT6A mRNA and protein, respectively, in lung cancer cell lines and NSCLC tissues. In patients with NSCLC, SRXN1 and KRT6A expression was associated with the tumor–node–metastasis (TNM) stage, presence of metastasis, history of smoking and daily smoking consumption. Furthermore, inhibition of SRXN1 or KRT6A suppressed viability and enhanced apoptosis in the A549 human lung carcinoma cell line. Tumorigenicity assays in nude mice confirmed that the siRNA-mediated downregulation of SRXN1 and KRT6A expression inhibited tumor growth in vivo. CONCLUSIONS: In summary, SRXN1 and KRT6A act as oncogenes in NSCLC and might be potential biomarkers of smoking exposure and the early diagnosis and prognosis of NSCLC in smokers, which is vital for lung cancer therapy. Frontiers Media S.A. 2022-01-05 /pmc/articles/PMC8767109/ /pubmed/35071014 http://dx.doi.org/10.3389/fonc.2021.810301 Text en Copyright © 2022 Zhou, Jiang, Xu, Zhou, Liu and Yang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Zhou, Jiazhen Jiang, Guanqing Xu, Enwu Zhou, Jiaxin Liu, Lili Yang, Qiaoyuan Identification of SRXN1 and KRT6A as Key Genes in Smoking-Related Non-Small-Cell Lung Cancer Through Bioinformatics and Functional Analyses |
title | Identification of SRXN1 and KRT6A as Key Genes in Smoking-Related Non-Small-Cell Lung Cancer Through Bioinformatics and Functional Analyses |
title_full | Identification of SRXN1 and KRT6A as Key Genes in Smoking-Related Non-Small-Cell Lung Cancer Through Bioinformatics and Functional Analyses |
title_fullStr | Identification of SRXN1 and KRT6A as Key Genes in Smoking-Related Non-Small-Cell Lung Cancer Through Bioinformatics and Functional Analyses |
title_full_unstemmed | Identification of SRXN1 and KRT6A as Key Genes in Smoking-Related Non-Small-Cell Lung Cancer Through Bioinformatics and Functional Analyses |
title_short | Identification of SRXN1 and KRT6A as Key Genes in Smoking-Related Non-Small-Cell Lung Cancer Through Bioinformatics and Functional Analyses |
title_sort | identification of srxn1 and krt6a as key genes in smoking-related non-small-cell lung cancer through bioinformatics and functional analyses |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767109/ https://www.ncbi.nlm.nih.gov/pubmed/35071014 http://dx.doi.org/10.3389/fonc.2021.810301 |
work_keys_str_mv | AT zhoujiazhen identificationofsrxn1andkrt6aaskeygenesinsmokingrelatednonsmallcelllungcancerthroughbioinformaticsandfunctionalanalyses AT jiangguanqing identificationofsrxn1andkrt6aaskeygenesinsmokingrelatednonsmallcelllungcancerthroughbioinformaticsandfunctionalanalyses AT xuenwu identificationofsrxn1andkrt6aaskeygenesinsmokingrelatednonsmallcelllungcancerthroughbioinformaticsandfunctionalanalyses AT zhoujiaxin identificationofsrxn1andkrt6aaskeygenesinsmokingrelatednonsmallcelllungcancerthroughbioinformaticsandfunctionalanalyses AT liulili identificationofsrxn1andkrt6aaskeygenesinsmokingrelatednonsmallcelllungcancerthroughbioinformaticsandfunctionalanalyses AT yangqiaoyuan identificationofsrxn1andkrt6aaskeygenesinsmokingrelatednonsmallcelllungcancerthroughbioinformaticsandfunctionalanalyses |