Cargando…

Comprehensive Analysis of Circular RNA Expression Profiles in Gefitinib-Resistant Lung Adenocarcinoma Patients

Introduction: Gefitinib is a selective epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) widely used in lung adenocarcinoma (LUAD) patients harboring sensitive EGFR mutations. Although it has a good initial efficacy, acquired resistance to gefitinib is eventually inevitable. Stud...

Descripción completa

Detalles Bibliográficos
Autores principales: Zou, Junyong, Lan, Huiyin, Li, Wei, Xie, Shuanshuan, Tong, Zhongkai, Song, Xiaolian, Wang, Changhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772949/
https://www.ncbi.nlm.nih.gov/pubmed/36537128
http://dx.doi.org/10.1177/15330338221139167
_version_ 1784855092256571392
author Zou, Junyong
Lan, Huiyin
Li, Wei
Xie, Shuanshuan
Tong, Zhongkai
Song, Xiaolian
Wang, Changhui
author_facet Zou, Junyong
Lan, Huiyin
Li, Wei
Xie, Shuanshuan
Tong, Zhongkai
Song, Xiaolian
Wang, Changhui
author_sort Zou, Junyong
collection PubMed
description Introduction: Gefitinib is a selective epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) widely used in lung adenocarcinoma (LUAD) patients harboring sensitive EGFR mutations. Although it has a good initial efficacy, acquired resistance to gefitinib is eventually inevitable. Studies have shown that circular RNA (circRNA) is involved in the development of acquired resistance to different anti-cancer drugs, but the comprehensive analysis of its expression profile and functions on acquired gefitinib resistance remains poor. Methods: To explore the aberrant circRNAs expression profiles, we collected peripheral plasma samples from 4 gefitinib-sensitive and 4 gefitinib-resistant patients for performing microarray analysis. Candidates of differentially expressed circRNAs were used and analyzed by bioinformatics modalities including gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and a constructed circRNA-microRNA RNA network. The differential expression of selected circRNAs was verified by quantitative real-time PCR (qRT-PCR). Results: A total of 2571 circRNAs with significantly different expression between the groups were identified by microarray analysis. GO, KEGG, and pathway enrichment analyses reveal that these differentially expressed circRNAs (DECs) were complicated in many biological pathways that may be related to EGFR-TKI resistance such as ABC transporter and PI3K-Akt pathways. A circRNA-microRNA network was constructed by 10 circRNAs potentially involved in EGFR-TKI resistance togethering with their corresponding microRNAs (miRNAs). Consistent with the results of microarray assay, hsa_circ_0030591 and hsa_circ_0040348 were validated to be upregulated in gefitinib-resistant patients by qRT-PCR. Conclusions: Our study provides valuable data on circRNAs expression profiles detected in liquid biopsy for LUAD patients with acquired gefitinib resistance, and we validate that upregulations of hsa_circ_0030591 and hsa_circ_0040348 may play key roles in EGFR-TKI resistance and thus serving as candidates for biomarker.
format Online
Article
Text
id pubmed-9772949
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-97729492022-12-23 Comprehensive Analysis of Circular RNA Expression Profiles in Gefitinib-Resistant Lung Adenocarcinoma Patients Zou, Junyong Lan, Huiyin Li, Wei Xie, Shuanshuan Tong, Zhongkai Song, Xiaolian Wang, Changhui Technol Cancer Res Treat LncRNAs and CircRNAs: Biomarkers of Therapeutic Resistance and Tumor Progression Introduction: Gefitinib is a selective epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) widely used in lung adenocarcinoma (LUAD) patients harboring sensitive EGFR mutations. Although it has a good initial efficacy, acquired resistance to gefitinib is eventually inevitable. Studies have shown that circular RNA (circRNA) is involved in the development of acquired resistance to different anti-cancer drugs, but the comprehensive analysis of its expression profile and functions on acquired gefitinib resistance remains poor. Methods: To explore the aberrant circRNAs expression profiles, we collected peripheral plasma samples from 4 gefitinib-sensitive and 4 gefitinib-resistant patients for performing microarray analysis. Candidates of differentially expressed circRNAs were used and analyzed by bioinformatics modalities including gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and a constructed circRNA-microRNA RNA network. The differential expression of selected circRNAs was verified by quantitative real-time PCR (qRT-PCR). Results: A total of 2571 circRNAs with significantly different expression between the groups were identified by microarray analysis. GO, KEGG, and pathway enrichment analyses reveal that these differentially expressed circRNAs (DECs) were complicated in many biological pathways that may be related to EGFR-TKI resistance such as ABC transporter and PI3K-Akt pathways. A circRNA-microRNA network was constructed by 10 circRNAs potentially involved in EGFR-TKI resistance togethering with their corresponding microRNAs (miRNAs). Consistent with the results of microarray assay, hsa_circ_0030591 and hsa_circ_0040348 were validated to be upregulated in gefitinib-resistant patients by qRT-PCR. Conclusions: Our study provides valuable data on circRNAs expression profiles detected in liquid biopsy for LUAD patients with acquired gefitinib resistance, and we validate that upregulations of hsa_circ_0030591 and hsa_circ_0040348 may play key roles in EGFR-TKI resistance and thus serving as candidates for biomarker. SAGE Publications 2022-12-20 /pmc/articles/PMC9772949/ /pubmed/36537128 http://dx.doi.org/10.1177/15330338221139167 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle LncRNAs and CircRNAs: Biomarkers of Therapeutic Resistance and Tumor Progression
Zou, Junyong
Lan, Huiyin
Li, Wei
Xie, Shuanshuan
Tong, Zhongkai
Song, Xiaolian
Wang, Changhui
Comprehensive Analysis of Circular RNA Expression Profiles in Gefitinib-Resistant Lung Adenocarcinoma Patients
title Comprehensive Analysis of Circular RNA Expression Profiles in Gefitinib-Resistant Lung Adenocarcinoma Patients
title_full Comprehensive Analysis of Circular RNA Expression Profiles in Gefitinib-Resistant Lung Adenocarcinoma Patients
title_fullStr Comprehensive Analysis of Circular RNA Expression Profiles in Gefitinib-Resistant Lung Adenocarcinoma Patients
title_full_unstemmed Comprehensive Analysis of Circular RNA Expression Profiles in Gefitinib-Resistant Lung Adenocarcinoma Patients
title_short Comprehensive Analysis of Circular RNA Expression Profiles in Gefitinib-Resistant Lung Adenocarcinoma Patients
title_sort comprehensive analysis of circular rna expression profiles in gefitinib-resistant lung adenocarcinoma patients
topic LncRNAs and CircRNAs: Biomarkers of Therapeutic Resistance and Tumor Progression
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772949/
https://www.ncbi.nlm.nih.gov/pubmed/36537128
http://dx.doi.org/10.1177/15330338221139167
work_keys_str_mv AT zoujunyong comprehensiveanalysisofcircularrnaexpressionprofilesingefitinibresistantlungadenocarcinomapatients
AT lanhuiyin comprehensiveanalysisofcircularrnaexpressionprofilesingefitinibresistantlungadenocarcinomapatients
AT liwei comprehensiveanalysisofcircularrnaexpressionprofilesingefitinibresistantlungadenocarcinomapatients
AT xieshuanshuan comprehensiveanalysisofcircularrnaexpressionprofilesingefitinibresistantlungadenocarcinomapatients
AT tongzhongkai comprehensiveanalysisofcircularrnaexpressionprofilesingefitinibresistantlungadenocarcinomapatients
AT songxiaolian comprehensiveanalysisofcircularrnaexpressionprofilesingefitinibresistantlungadenocarcinomapatients
AT wangchanghui comprehensiveanalysisofcircularrnaexpressionprofilesingefitinibresistantlungadenocarcinomapatients