Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis

Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis

Abstract Background Accumulating evidence suggests a strong association between polycystic ovary syndrome (PCOS) and ovarian cancer (OC), but the potential molecular mechanism remains unclear. In this study, we identified previously unrecognized genes that are significantly correlated with PCOS and...

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Bibliographic Details
Main Authors: Juan Zou, Yukun Li, Nianchun Liao, Jue Liu, Qunfeng Zhang, Min Luo, Jiao Xiao, Yanhua Chen, Mengjie Wang, Kexin Chen, Juan Zeng, Zhongcheng Mo
Format: Article
Language:English
Published: BMC 2022-02-01
Series:Journal of Ovarian Research
Subjects:
Ovarian cancer
Polycystic ovary syndrome
Bioinformatic analysis
OGN
Prognostic marker
Online Access:https://doi.org/10.1186/s13048-022-00962-w

Internet

https://doi.org/10.1186/s13048-022-00962-w

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