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Identification of key genes and pathway related to chemoresistance of small cell lung cancer through an integrative bioinformatics analysis

BACKGROUND: Small cell lung cancer (SCLC), the most malignant of all the lung cancer subtypes, is characterized by drug resistance. This study sought to explore the key genes and pathways associated with the chemoresistance of SCLC. METHODS: The drug sensitivity of chemosensitive and chemoresistance...

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Autores principales: Zeng, Fan-Rui, Zhou, Xu-Yang, Zeng, Ling-Ge, Sun, Jian-Cong, He, Fen, Mo, Wei, Wen, Yang, Wang, Shu-Yu, Liu, Qin, Guo, Lin-Lang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577795/
https://www.ncbi.nlm.nih.gov/pubmed/36267705
http://dx.doi.org/10.21037/atm-22-3642
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author Zeng, Fan-Rui
Zhou, Xu-Yang
Zeng, Ling-Ge
Sun, Jian-Cong
He, Fen
Mo, Wei
Wen, Yang
Wang, Shu-Yu
Liu, Qin
Guo, Lin-Lang
author_facet Zeng, Fan-Rui
Zhou, Xu-Yang
Zeng, Ling-Ge
Sun, Jian-Cong
He, Fen
Mo, Wei
Wen, Yang
Wang, Shu-Yu
Liu, Qin
Guo, Lin-Lang
author_sort Zeng, Fan-Rui
collection PubMed
description BACKGROUND: Small cell lung cancer (SCLC), the most malignant of all the lung cancer subtypes, is characterized by drug resistance. This study sought to explore the key genes and pathways associated with the chemoresistance of SCLC. METHODS: The drug sensitivity of chemosensitive and chemoresistance SCLC cell lines was measured by Cell Counting Kit-8 assays. The total RNA from chemosensitive cell line H69 and chemoresistance cell line H69AR cells was extracted and subjected to messenger RNA (mRNA) and long non-coding RNA (lncRNA) microarray analyses. The differentially expressed genes (DEGs) and the differentially expressed lncRNAs (DELs) were screened out with a threshold of a |log fold change | ≥1 and an adjusted P value <0.05. A protein-protein interaction network was constructed, and hub genes were screened out. A lncRNA-mRNA co-expression network was also constructed. Gene Ontology and Kyoto Encyclopedia of Genes, Genomes enrichment analyses and Cis-regulatory element analyses were conducted on the DEGs and the top 10 upregulated DEL-co-expressed DEGs. The expression of the key genes was further analyzed in the GSE149507 data set and validated in H69/H69AR and H446/H446DDP cells by quantitative polymerase chain reaction assays. RESULTS: The microarray results showed that a total of 609 mRNAs and 394 lncRNAs were differentially expressed in the chemoresistant SCLC cells. The mammalian target of rapamycin (mTOR) signaling pathway was enriched among the DEGs, the top 10 upregulated DEL-co-expressed DEGs, and the NCRNA00173-co-expressed DEGs, which included IGF1, INS, WNT6, WNT11, WNT2B, and SESN2. IGF1, WNT2B, and SESN2 were downregulated, and WNT11 was upregulated in the SCLC tumor tissues in the GSE149507 data set. Further, IGF1, WNT6, WNT11, and WNT2B were lowlier expressed and SESN2 and NCRNA00173 were more highly expressed in the chemoresistant cells than sensitive cells. CONCLUSIONS: The top 10 upregulated DELs containing NCRNA00173 may be involved in the regulation of drug resistance in SCLC. These DELs may regulate the genes related to the mTOR signaling pathway. These genes may also be biomarkers and potential targets for the treatment of SCLC.
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spelling pubmed-95777952022-10-19 Identification of key genes and pathway related to chemoresistance of small cell lung cancer through an integrative bioinformatics analysis Zeng, Fan-Rui Zhou, Xu-Yang Zeng, Ling-Ge Sun, Jian-Cong He, Fen Mo, Wei Wen, Yang Wang, Shu-Yu Liu, Qin Guo, Lin-Lang Ann Transl Med Original Article BACKGROUND: Small cell lung cancer (SCLC), the most malignant of all the lung cancer subtypes, is characterized by drug resistance. This study sought to explore the key genes and pathways associated with the chemoresistance of SCLC. METHODS: The drug sensitivity of chemosensitive and chemoresistance SCLC cell lines was measured by Cell Counting Kit-8 assays. The total RNA from chemosensitive cell line H69 and chemoresistance cell line H69AR cells was extracted and subjected to messenger RNA (mRNA) and long non-coding RNA (lncRNA) microarray analyses. The differentially expressed genes (DEGs) and the differentially expressed lncRNAs (DELs) were screened out with a threshold of a |log fold change | ≥1 and an adjusted P value <0.05. A protein-protein interaction network was constructed, and hub genes were screened out. A lncRNA-mRNA co-expression network was also constructed. Gene Ontology and Kyoto Encyclopedia of Genes, Genomes enrichment analyses and Cis-regulatory element analyses were conducted on the DEGs and the top 10 upregulated DEL-co-expressed DEGs. The expression of the key genes was further analyzed in the GSE149507 data set and validated in H69/H69AR and H446/H446DDP cells by quantitative polymerase chain reaction assays. RESULTS: The microarray results showed that a total of 609 mRNAs and 394 lncRNAs were differentially expressed in the chemoresistant SCLC cells. The mammalian target of rapamycin (mTOR) signaling pathway was enriched among the DEGs, the top 10 upregulated DEL-co-expressed DEGs, and the NCRNA00173-co-expressed DEGs, which included IGF1, INS, WNT6, WNT11, WNT2B, and SESN2. IGF1, WNT2B, and SESN2 were downregulated, and WNT11 was upregulated in the SCLC tumor tissues in the GSE149507 data set. Further, IGF1, WNT6, WNT11, and WNT2B were lowlier expressed and SESN2 and NCRNA00173 were more highly expressed in the chemoresistant cells than sensitive cells. CONCLUSIONS: The top 10 upregulated DELs containing NCRNA00173 may be involved in the regulation of drug resistance in SCLC. These DELs may regulate the genes related to the mTOR signaling pathway. These genes may also be biomarkers and potential targets for the treatment of SCLC. AME Publishing Company 2022-09 /pmc/articles/PMC9577795/ /pubmed/36267705 http://dx.doi.org/10.21037/atm-22-3642 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Zeng, Fan-Rui
Zhou, Xu-Yang
Zeng, Ling-Ge
Sun, Jian-Cong
He, Fen
Mo, Wei
Wen, Yang
Wang, Shu-Yu
Liu, Qin
Guo, Lin-Lang
Identification of key genes and pathway related to chemoresistance of small cell lung cancer through an integrative bioinformatics analysis
title Identification of key genes and pathway related to chemoresistance of small cell lung cancer through an integrative bioinformatics analysis
title_full Identification of key genes and pathway related to chemoresistance of small cell lung cancer through an integrative bioinformatics analysis
title_fullStr Identification of key genes and pathway related to chemoresistance of small cell lung cancer through an integrative bioinformatics analysis
title_full_unstemmed Identification of key genes and pathway related to chemoresistance of small cell lung cancer through an integrative bioinformatics analysis
title_short Identification of key genes and pathway related to chemoresistance of small cell lung cancer through an integrative bioinformatics analysis
title_sort identification of key genes and pathway related to chemoresistance of small cell lung cancer through an integrative bioinformatics analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577795/
https://www.ncbi.nlm.nih.gov/pubmed/36267705
http://dx.doi.org/10.21037/atm-22-3642
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