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07 May 2019 : Laboratory Research  

Expression of Protein 4.1 Family in Breast Cancer: Database Mining for 4.1 Family Members in Malignancies

Guan Feng1BCDE, Kaibo Guo1BC, Qingying Yan1BF, Ye Ye2EF, Minhe Shen3G, Shanming Ruan3AG, Shengliang Qiu4AEF*

DOI: 10.12659/MSM.914085

Med Sci Monit 2019; 25:3374-3389

Abstract

BACKGROUND: The protein 4.1 family is a family of cytoskeletal proteins that play an important role in maintaining normal cell morphology and cell adhesion, migration, division, and intercellular signaling. The main aim of this study was to explore the prognostic significance of the protein 4.1 family in breast cancer (BC) patients and to provide new biomarkers and therapeutic targets for the diagnosis and treatment of BC.

MATERIAL AND METHODS: The expression of 4.1 family members in various tumor types was compared to normal controls using the ONCOMINE and GOBO databases. The prognostic significance of the 4.1 family in BC patients was determined by Kaplan-Meier Plotter.

RESULTS: EPB41L2 (4.1G) was expressed at higher levels in normal tissues compared with BC patients for all 4.1 family members. In survival analysis, 4.1G and EPB41 (4.1R) mRNA high expressions were associated with better survival in BC patients. Moreover, 4.1G high expression was significantly associated with longer overall survival (OS) in luminal A and protracted relapse-free survival (RFS) in luminal B subtype BC patients who received Tamoxifen treatment. In addition, high expression of each 4.1 family member also showed better prognostic value in different molecular subtypes of BC.

CONCLUSIONS: These results indicate that the protein 4.1 family can be regarded as novel biomarkers and potential therapeutic targets for BC. Further research is needed to explore the detailed biological functions.

Keywords: Biological Markers, Breast Neoplasms, Prognosis, Biomarkers, Tumor, Cytoskeletal Proteins, Databases, Genetic, Disease-Free Survival, Kaplan-Meier Estimate, Membrane Proteins, Survival Analysis

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750