Significant prognostic values of aquaporin mRNA expression in breast cancer
Received 4 November 2018
Accepted for publication 15 January 2019
Published 14 February 2019 Volume 2019:11 Pages 1503—1515
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Professor Lu-Zhe Sun
Lizhe Zhu,1 Nan Ma,2 Bin Wang,1 Lei Wang,3 Can Zhou,1 Yu Yan,1 Jianjun He,1 Yu Ren1
1Department of Breast Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi Province, China; 2Department of Pharmacy, Health Science Center, Xi’an Jiaotong University, Xi’an, Shaanxi Province, China; 3Department of Gynaecology and Obstetrics, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi Province, China
Introduction: Aquaporins (AQPs), also called water channels, have been shown to have functions in the migration, invasion, and proliferation of human breast tumor cells. Most AQP mRNA expression levels were tested by cell lines, mouse models, and even human breast tissues. However, the mRNA expression of individual AQPs in different clinicopathologic characteristics and prognostic values according to different kinds of classifications of breast cancer patients remains unclear.
Materials and methods: In the current study, we used the Oncomine database, Breast cancer Gene-Expression Miner v4.1, Kaplan–Meier Plotter, and cBioPortal to investigate the expression distribution and prognostic values of AQPs in breast cancer patients.
Results: Our study revealed that the mRNA expression levels of AQP8, AQP9, and AQP10 were upregulated, while those of AQP3, AQP4, AQP5, and AQP7 were downregulated in breast cancer. The clinical database showed that lower mRNA levels of AQP1 were associated with a high Scarff–Bloom–Richardson grade, but AQP9 showed the opposite trend. Further survival analyses indicated that high mRNA expression levels of AQP0, AQP1, AQP2, AQP4, AQP6, AQP8, AQP10, and AQP11 were significantly associated with better relapse-free survival (RFS). Conversely, AQP3 and AQP9 were associated with worse RFS in breast cancer patients, suggesting that these two genes might be potential targets in future chemotherapy.
Discussion: These significant AQP members might be further explored as new biomarkers for breast cancer prognosis, but this needs further study.
Keywords: breast cancer, AQP, genetic, prognostic, biomarker
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