Abstract

BackgroundHigh-mobility group box 2 (HMGB2) is implicated in tumorigenesis in various cancers. However, the clinical significance of HMGB2 signaling in human breast cancer progression remains unknown.MethodsWe investigated HMGB2 expression in 185 cases of primary breast cancer and matched normal breast tissue specimens, and explored the underlying mechanisms of altered HMGB2 expression as well as the impact of this altered expression on breast cancer growth and on aerobic glycolysis using in vitro and animal models of breast cancer.ResultsHMGB2 was more highly expressed in tumor-cell nuclei of breast cancer cells than in the adjacent normal breast tissues (P < 0.05). Higher HMGB2 expression correlated with larger tumor size (P = 0.003) and advanced tumor stage (P = 0.033). A Cox proportional hazards model revealed that HMGB2 expression was an independent prognostic factor for breast cancer after radical resection (P < 0.05). Experimentally, knockdown of HMGB2 expression by stable transfected shRNA significantly decreased the growth and glycolysis of breast cancer cells both in vitro and in mouse models. Mechanically, promotion of breast cancer progression by HMGB2 directly and significantly correlated with activation of LDHB expression and inactivation of FBP1 expression.ConclusionsThese results disclose a novel role for HMGB2 in reprogramming the metabolic process in breast cancer cells by targeting LDHB and FBP1 and provide potential prognostic predictors for breast cancer patients.

Highlights

  • High-mobility group box 2 (HMGB2) is implicated in tumorigenesis in various cancers

  • Our study demonstrates that high HMGB2 predicts a poor prognosis by promoting cell proliferation and glycolysis in breast cancer cells

  • High HMGB2 expression is correlated with breast cancer progression HMGB2 expression was identified in the nucleus of breast cancer cells

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Summary

Introduction

High-mobility group box 2 (HMGB2) is implicated in tumorigenesis in various cancers. The clinical significance of HMGB2 signaling in human breast cancer progression remains unknown. It is estimated that about 40,610 women will die from breast cancer in 2017 in the USA [1]. Diagnosis, and treatment of breast cancer, the recurrence and mortality rate remain high [2]. Considering the heterogeneity of breast cancer, numerous efforts have been made to explore the underlying biological and pathological characteristics [3]. Numerous studies have focused on screening for novel diagnostic and prognostic biomarkers and therapeutic targets in breast cancer [4,5,6,7]

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