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Identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics

BACKGROUND: Cervical cancer (CC) is one of the common malignant tumors in women, Currently, 30% of patients with intermediate to advanced squamous cervical cancer are still uncontrolled or recurrent after standard radical simultaneous radiotherapy; therefore, the search for critical genes affecting...

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Autores principales: Zhang, Zhenhua, Xiang, Kechao, Tan, Longjing, Du, Xiuju, He, Huailin, Li, Dan, Li, Li, Wen, Qinglian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373049/
https://www.ncbi.nlm.nih.gov/pubmed/35965520
http://dx.doi.org/10.3389/fonc.2022.967386
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author Zhang, Zhenhua
Xiang, Kechao
Tan, Longjing
Du, Xiuju
He, Huailin
Li, Dan
Li, Li
Wen, Qinglian
author_facet Zhang, Zhenhua
Xiang, Kechao
Tan, Longjing
Du, Xiuju
He, Huailin
Li, Dan
Li, Li
Wen, Qinglian
author_sort Zhang, Zhenhua
collection PubMed
description BACKGROUND: Cervical cancer (CC) is one of the common malignant tumors in women, Currently, 30% of patients with intermediate to advanced squamous cervical cancer are still uncontrolled or recurrent after standard radical simultaneous radiotherapy; therefore, the search for critical genes affecting the sensitivity of radiotherapy may lead to new strategies for treatment. METHODS: Firstly, differentially expressed genes (DEGs) between radiotherapy-sensitivity and radiotherapy-resistance were identified by GEO2R from the gene expression omnibus (GEO) website, and prognosis-related genes for cervical cancer were obtained from the HPA database. Subsequently, the DAVID database analyzed gene ontology (GO). Meanwhile, the protein-protein interaction network was constructed by STRING; By online analysis of DEGs, prognostic genes, and CCDB data that are associated with cervical cancer formation through the OncoLnc database, we aim to search for the key DEGs associated with CC, Finally, the key gene(s) was further validated by immunohistochemistry. RESULT: 298 differentially expressed genes, 712 genes associated with prognosis, and 509 genes related to cervical cancer formation were found. The results of gene function analysis showed that DEGs were mainly significant in functional pathways such as variable shear and energy metabolism. By further verification, two genes, ASPH and NKAPP1 were identified through validation as genes that affect both sensitivities to radiotherapy and survival finally. Then, immunohistochemical results showed that the ASPH gene was highly expressed in the radiotherapy-resistant group and had lower Overall survival (OS) and Progression-free survival (PFS). CONCLUSION: This study aims to better understand the characteristics of cervical cancer radiation therapy resistance-related genes through bioinformatics and provide further research ideas for finding new mechanisms and potential therapeutic targets related to cervical cancer radiation therapy.
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spelling pubmed-93730492022-08-13 Identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics Zhang, Zhenhua Xiang, Kechao Tan, Longjing Du, Xiuju He, Huailin Li, Dan Li, Li Wen, Qinglian Front Oncol Oncology BACKGROUND: Cervical cancer (CC) is one of the common malignant tumors in women, Currently, 30% of patients with intermediate to advanced squamous cervical cancer are still uncontrolled or recurrent after standard radical simultaneous radiotherapy; therefore, the search for critical genes affecting the sensitivity of radiotherapy may lead to new strategies for treatment. METHODS: Firstly, differentially expressed genes (DEGs) between radiotherapy-sensitivity and radiotherapy-resistance were identified by GEO2R from the gene expression omnibus (GEO) website, and prognosis-related genes for cervical cancer were obtained from the HPA database. Subsequently, the DAVID database analyzed gene ontology (GO). Meanwhile, the protein-protein interaction network was constructed by STRING; By online analysis of DEGs, prognostic genes, and CCDB data that are associated with cervical cancer formation through the OncoLnc database, we aim to search for the key DEGs associated with CC, Finally, the key gene(s) was further validated by immunohistochemistry. RESULT: 298 differentially expressed genes, 712 genes associated with prognosis, and 509 genes related to cervical cancer formation were found. The results of gene function analysis showed that DEGs were mainly significant in functional pathways such as variable shear and energy metabolism. By further verification, two genes, ASPH and NKAPP1 were identified through validation as genes that affect both sensitivities to radiotherapy and survival finally. Then, immunohistochemical results showed that the ASPH gene was highly expressed in the radiotherapy-resistant group and had lower Overall survival (OS) and Progression-free survival (PFS). CONCLUSION: This study aims to better understand the characteristics of cervical cancer radiation therapy resistance-related genes through bioinformatics and provide further research ideas for finding new mechanisms and potential therapeutic targets related to cervical cancer radiation therapy. Frontiers Media S.A. 2022-07-29 /pmc/articles/PMC9373049/ /pubmed/35965520 http://dx.doi.org/10.3389/fonc.2022.967386 Text en Copyright © 2022 Zhang, Xiang, Tan, Du, He, Li, Li and Wen 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
Zhang, Zhenhua
Xiang, Kechao
Tan, Longjing
Du, Xiuju
He, Huailin
Li, Dan
Li, Li
Wen, Qinglian
Identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics
title Identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics
title_full Identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics
title_fullStr Identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics
title_full_unstemmed Identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics
title_short Identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics
title_sort identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373049/
https://www.ncbi.nlm.nih.gov/pubmed/35965520
http://dx.doi.org/10.3389/fonc.2022.967386
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