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Artificial Cells, Nanomedicine, and Biotechnology

An International Journal

Volume 47, 2019 - Issue 1

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Research Article

Association between EPHX1 polymorphism rs1051740 and the risk of ovarian cancer: a meta-analysis

Ying JinDepartment of Obstetrics and Gynecology, Beijing Friendship Hospital, Capital Medical University, Beijing, ChinaCorrespondence[email protected]

Pages 2338-2342 | Received 14 Jan 2019, Accepted 15 May 2019, Published online: 07 Jun 2019

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https://doi.org/10.1080/21691401.2019.1622551
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Citations (4)

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Articles from other publishers (4)

Jia Hu, Zhe Xu, Zhuomiao Ye, Jin Li, Zhinan Hao & Yongjun Wang. (2022) The association between single nucleotide polymorphisms and ovarian cancer risk: A systematic review and network meta‐analysis. Cancer Medicine 12:1, pages 541-556.
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Siya Hu, Yunnan Jing, Fangyuan Liu & Fengjuan Han. (2022) Association between XRCC3 rs861539 Polymorphism and the Risk of Ovarian Cancer: Meta-Analysis and Trial Sequential Analysis. BioMed Research International 2022, pages 1-13.
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Kena Wang, Qinwei ZhangJianhua Yang. (2021) The effect of folate intake on ovarian cancer risk. Medicine 100:3, pages e22605.
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Zhen Yan, Yuan‑Yuan Gu, Xiao‑Di Hu, Qun Zhao, Hai‑Li Kang, Miao Wang, Wei Duan & Yin Guan. (2020) Clinical outcomes and safety of apatinib monotherapy in the treatment of patients with advanced epithelial ovarian carcinoma who progressed after standard regimens and the analysis of the VEGFR2 polymorphism. Oncology Letters 20:3, pages 3035-3045.
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