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HMGB2 is associated with malignancy and regulates Warburg effect by targeting LDHB and FBP1 in breast cancer

Overview of attention for article published in Cell Communication and Signaling, February 2018
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Title
HMGB2 is associated with malignancy and regulates Warburg effect by targeting LDHB and FBP1 in breast cancer
Published in
Cell Communication and Signaling, February 2018
DOI 10.1186/s12964-018-0219-0
Pubmed ID
Authors

Deyuan Fu, Jing Li, Jinli Wei, Zhengquan Zhang, Yulin Luo, Haosheng Tan, Chuanli Ren

Abstract

High-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. We 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. HMGB2 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. These 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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 36%
Other 3 11%
Student > Doctoral Student 3 11%
Student > Master 3 11%
Student > Bachelor 1 4%
Other 3 11%
Unknown 5 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 39%
Medicine and Dentistry 3 11%
Engineering 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Computer Science 1 4%
Other 3 11%
Unknown 7 25%