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MTFR2 的过表达可预测乳腺癌的预后不良
Authors Lu W, Zang R, Du Y, Li X, Li H, Liu C, Song Y, Li Y, Wang Y
Received 14 July 2020
Accepted for publication 1 October 2020
Published 2 November 2020 Volume 2020:12 Pages 11095—11102
DOI https://doi.org/10.2147/CMAR.S272088
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Sanjeev Srivastava
Background: Mitochondrial fission regulator 2 (MTFR2 ) has been reported to promote proliferation, migration and invasion in tumors; however, little is known about its function in breast cancer. Thus, we investigated the effect of MTFR2 expression on prognosis of breast cancer.
Methods: The expression of MTFR2 in breast cancer tissues was detected by immunohistochemistry, and overall survival (OS) and recurrence free survival (RFS) were evaluated by the Log rank test and Cox model.
Results: We found that MTFR2 expression was significantly associated with clinical stage (P< 0.001), T classification (P=0.005), N classification (P=0.001), M classification (P=0.041), HER2 expression (P= 0.001), and molecular subtypes (P=0.002), respectively. Compared with low MTFR2 expression, the patients with higher expression of MTFR2 exhibited significantly shorter OS and RFS (All P < 0.001). Both univariate and multivariate analyses showed that MTFR2 was an independent prognostic factor for OS (HR, 2.8, 95% CI 1.1– 6.8, P = 0.023) and RFS (HR, 2.8, 95% CI 1.2– 6.4, P = 0.015) in breast cancer patients. Moreover, in HER2 positive and TNBC subtype, the associations between high MTFR2 expression and poor OS and RFS were more pronounced.
Conclusion: Taken together, our results demonstrated that high MTFR2 expression was associated with poor prognosis of breast cancer patients, and such an association was more pronounced in the patients with aggressive tumors. Therefore, MTFR2 expression might be a potentially important prognostic biomarker and clinical target for patients with breast cancer.
Keywords: MTFR2 , breast neoplasms, prognosis, biomarker, survival analysis