High Moesin Expression Is a Predictor of Poor Prognosis of Breast Cancer: Evidence From a Systematic Review With Meta-Analysis

Xiaoli Hu; Xiaoli Hu; Xiaoli Hu; Xiaoli Hu; Xiaoli Hu; Yang Liu; Yang Liu; Yang Liu; Yang Liu; Yang Liu; Zhitong Bing; Qian Ye; Qian Ye; Qian Ye; Qian Ye; Chengcheng Li

doi:10.3389/fonc.2021.650488

Frontiers in Oncology (Nov 2021)

High Moesin Expression Is a Predictor of Poor Prognosis of Breast Cancer: Evidence From a Systematic Review With Meta-Analysis

Xiaoli Hu,
Xiaoli Hu,
Xiaoli Hu,
Xiaoli Hu,
Xiaoli Hu,
Yang Liu,
Yang Liu,
Yang Liu,
Yang Liu,
Yang Liu,
Zhitong Bing,
Qian Ye,
Qian Ye,
Qian Ye,
Qian Ye,
Chengcheng Li

Affiliations

Xiaoli Hu: Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China
Xiaoli Hu: College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
Xiaoli Hu: Key Laboratory of Heavy Ion Radiation Medicine of Chinese Academy of Sciences, Lanzhou, China
Xiaoli Hu: Key Laboratory of Heavy Ion Radiation Medicine of Gansu Province, Lanzhou, China
Xiaoli Hu: Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, China
Yang Liu: Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China
Yang Liu: College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
Yang Liu: Key Laboratory of Heavy Ion Radiation Medicine of Chinese Academy of Sciences, Lanzhou, China
Yang Liu: Key Laboratory of Heavy Ion Radiation Medicine of Gansu Province, Lanzhou, China
Yang Liu: Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, China
Zhitong Bing: Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, China
Qian Ye: Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China
Qian Ye: Key Laboratory of Heavy Ion Radiation Medicine of Chinese Academy of Sciences, Lanzhou, China
Qian Ye: Key Laboratory of Heavy Ion Radiation Medicine of Gansu Province, Lanzhou, China
Qian Ye: School of Stomatology, Lanzhou University, Lanzhou, China
Chengcheng Li: The First School of Clinical Medicine, Lanzhou University, Lanzhou, China

DOI: https://doi.org/10.3389/fonc.2021.650488
Journal volume & issue: Vol. 11

Abstract

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Owing to metastases and drug resistance, the prognosis of breast cancer is still dismal. Therefore, it is necessary to find new prognostic markers to improve the efficacy of breast cancer treatment. Literature shows a controversy between moesin (MSN) expression and prognosis in breast cancer. Here, we aimed to conduct a systematic review and meta-analysis to evaluate the prognostic relationship between MSN and breast cancer. Literature retrieval was conducted in the following databases: PubMed, Web of Science, Embase, and Cochrane. Two reviewers independently performed the screening of studies and data extraction. The Gene Expression Omnibus (GEO) database including both breast cancer gene expression and follow-up datasets was selected to verify literature results. The R software was employed for the meta-analysis. A total of 9 articles with 3,039 patients and 16 datasets with 2,916 patients were ultimately included. Results indicated that there was a significant relationship between MSN and lymph node metastases (P < 0.05), and high MSN expression was associated with poor outcome of breast cancer patients (HR = 1.99; 95% CI 1.73–2.24). In summary, there is available evidence to support that high MSN expression has valuable importance for the poor prognosis in breast cancer patients.Systematic Review Registrationhttps://inplasy.com/inplasy-2020-8-0039/.

Published in Frontiers in Oncology

ISSN: 2234-943X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Website: https://www.frontiersin.org/journals/oncology/

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