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Prediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer

PURPOSE: 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...

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Autores principales: Guo, Kaidi, Li, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605930/
https://www.ncbi.nlm.nih.gov/pubmed/34815697
http://dx.doi.org/10.2147/IJGM.S338044
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author Guo, Kaidi
Li, Li
author_facet Guo, Kaidi
Li, Li
author_sort Guo, Kaidi
collection PubMed
description PURPOSE: 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.
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spelling pubmed-86059302021-11-22 Prediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer Guo, Kaidi Li, Li Int J Gen Med Original Research PURPOSE: 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. Dove 2021-11-16 /pmc/articles/PMC8605930/ /pubmed/34815697 http://dx.doi.org/10.2147/IJGM.S338044 Text en © 2021 Guo and Li. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Guo, Kaidi
Li, Li
Prediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer
title 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_short Prediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer
title_sort prediction of key candidate genes for platinum resistance in ovarian cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605930/
https://www.ncbi.nlm.nih.gov/pubmed/34815697
http://dx.doi.org/10.2147/IJGM.S338044
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