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Published in: Journal of Ovarian Research 1/2016

Open Access 01-12-2016 | Research

Targeting of topoisomerases for prognosis and drug resistance in ovarian cancer

Authors: Yang Bai, Liang-Dong Li, Jun Li, Xin Lu

Published in: Journal of Ovarian Research | Issue 1/2016

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Abstract

Backgroud

As magicians of the DNA world, topoisomerases resolve all of the topological problems in relation to DNA during a variety of genetic processes. While the prognostic value of topoisomerase isoenzymes in epithelial ovarian carcinoma (EOC) is still elusive. In current study, we investigated the prognostic value of topoisomerase isoenzymes in the EOC patients. Kaplan Meier plotter (KM plotter) database were used to assess the relevance of individual topoisomerase isoenzyme mRNA expression to EOC patients overall survival (OS), in which updated survival information and gene expression data were from a total of 1,648 EOC patients.

Results

High expression of TOP1 and TOP2A were found to be correlated to worse OS in all patients and serous patients, but not in endometrioid patients. Contrary to TOP1 and TOP2A, TOP3A and TOP3B expression were associated with better OS in all patients and serous patients, but not in endometrioid patients. While TOP2B were not found any significant prognostic value for EOC patients. From the Oncomine database, we also found widespread upregulation in the expression of TOP1 and TOP2A genes in primary tumor tissues. Albeit limited in number, all datasets exhibiting differential expression showed TOP3A and TOP3B under-regulated.

Conclusion

These results strongly supported that TOP1 and TOP2A were potential biomarkers for predicting poor survival of EOC patients, while TOP3A and TOP3B were expected to be further exploited as tumor suppressors. Comprehensive understanding of the topoisomerase isoforms may have guiding significance for the diagnosis treatment and prognosis in EOC patients.
Appendix
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Metadata
Title
Targeting of topoisomerases for prognosis and drug resistance in ovarian cancer
Authors
Yang Bai
Liang-Dong Li
Jun Li
Xin Lu
Publication date
01-12-2016
Publisher
BioMed Central
Published in
Journal of Ovarian Research / Issue 1/2016
Electronic ISSN: 1757-2215
DOI
https://doi.org/10.1186/s13048-016-0244-9

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