Prediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer

Kaidi Guo,1,2,&ast; Li Li1,2,&ast; 1Department of Gynecology and Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People’s Republic of China; 2Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Ministry of Education, Nanning, Guangxi, P...

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Autores principales:	Guo K, Li L
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2021
Materias:	ovarian cancer platinum resistance bioinformatical analysis differentially expressed genes Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/762e86e1a5de49bf8a93a5bd591ac1af
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spelling	oai:doaj.org-article:762e86e1a5de49bf8a93a5bd591ac1af2021-11-16T18:47:50ZPrediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer1178-7074https://doaj.org/article/762e86e1a5de49bf8a93a5bd591ac1af2021-11-01T00:00:00Zhttps://www.dovepress.com/prediction-of-key-candidate-genes-for-platinum-resistance-in-ovarian-c-peer-reviewed-fulltext-article-IJGMhttps://doaj.org/toc/1178-7074Kaidi Guo,1,2,&ast; Li Li1,2,&ast; 1Department of Gynecology and Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People’s Republic of China; 2Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Ministry of Education, Nanning, Guangxi, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Li LiDepartment of Gynecology and Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530021, People’s Republic of ChinaTel +86 138 7811 3406Email lili@gxmu.edu.cnPurpose: Ovarian cancer is one of the common malignant tumors of female reproductive organs, which seriously threatens the life and health of women. Resistance to chemotherapeutic drugs for ovarian cancer is the root cause of recurrence in most patients. The purpose of this study is to determine the differentially expressed genes of platinum resistance in ovarian cancer, and to screen out molecular targets and diagnostic markers that could be used to treat ovarian cancer platinum resistance.Methods: We downloaded 5 gene microarray datasets GSE58470, GSE45553, GSE41499, GSE33482, and GSE15372 from the Gene Expression Omnibus database, all of which are associated with ovarian cancer platinum resistance. Subsequently, the intersection of the statistically significant differentially expressed genes in 5 gene chips was taken, and relevant bioinformatics and clinical parameters were performed on the screened differential genes. qRT-PCR was utilized to examine the mRNA expression levels in ovarian cancer sensitive and cisplatin-resistant cells.Results: Three differential genes, IFI27, JAG1, DNM3, may be closely related to platinum resistance of ovarian cancer, were screened by microarray datasets. According to the combined verification of bioinformatics, clinical case analyses and experiments, it was inferred that the increased expression of DNM3 was beneficial to patients with platinum resistance, but the high expression of IFI27 and JAG1 may lead to the risk of platinum resistance.Conclusion: IFI27, JAG1 and DNM3 screened by relevant gene chips may serve as new biomarkers of platinum resistance in ovarian cancer.Keywords: ovarian cancer, platinum resistance, bioinformatical analysis, differentially expressed genesGuo KLi LDove Medical Pressarticleovarian cancerplatinum resistancebioinformatical analysisdifferentially expressed genesMedicine (General)R5-920ENInternational Journal of General Medicine, Vol Volume 14, Pp 8237-8248 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ovarian cancer platinum resistance bioinformatical analysis differentially expressed genes Medicine (General) R5-920
spellingShingle	ovarian cancer platinum resistance bioinformatical analysis differentially expressed genes Medicine (General) R5-920 Guo K Li L Prediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer
description	Kaidi Guo,1,2,&ast; Li Li1,2,&ast; 1Department of Gynecology and Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People’s Republic of China; 2Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Ministry of Education, Nanning, Guangxi, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Li LiDepartment of Gynecology and Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530021, People’s Republic of ChinaTel +86 138 7811 3406Email lili@gxmu.edu.cnPurpose: Ovarian cancer is one of the common malignant tumors of female reproductive organs, which seriously threatens the life and health of women. Resistance to chemotherapeutic drugs for ovarian cancer is the root cause of recurrence in most patients. The purpose of this study is to determine the differentially expressed genes of platinum resistance in ovarian cancer, and to screen out molecular targets and diagnostic markers that could be used to treat ovarian cancer platinum resistance.Methods: We downloaded 5 gene microarray datasets GSE58470, GSE45553, GSE41499, GSE33482, and GSE15372 from the Gene Expression Omnibus database, all of which are associated with ovarian cancer platinum resistance. Subsequently, the intersection of the statistically significant differentially expressed genes in 5 gene chips was taken, and relevant bioinformatics and clinical parameters were performed on the screened differential genes. qRT-PCR was utilized to examine the mRNA expression levels in ovarian cancer sensitive and cisplatin-resistant cells.Results: Three differential genes, IFI27, JAG1, DNM3, may be closely related to platinum resistance of ovarian cancer, were screened by microarray datasets. According to the combined verification of bioinformatics, clinical case analyses and experiments, it was inferred that the increased expression of DNM3 was beneficial to patients with platinum resistance, but the high expression of IFI27 and JAG1 may lead to the risk of platinum resistance.Conclusion: IFI27, JAG1 and DNM3 screened by relevant gene chips may serve as new biomarkers of platinum resistance in ovarian cancer.Keywords: ovarian cancer, platinum resistance, bioinformatical analysis, differentially expressed genes
format	article
author	Guo K Li L
author_facet	Guo K Li L
author_sort	Guo K
title	Prediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer
title_short	Prediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer
title_full	Prediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer
title_fullStr	Prediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer
title_full_unstemmed	Prediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer
title_sort	prediction of key candidate genes for platinum resistance in ovarian cancer
publisher	Dove Medical Press
publishDate	2021
url	https://doaj.org/article/762e86e1a5de49bf8a93a5bd591ac1af
work_keys_str_mv	AT guok predictionofkeycandidategenesforplatinumresistanceinovariancancer AT lil predictionofkeycandidategenesforplatinumresistanceinovariancancer
_version_	1718426247111901184

Prediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer

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