Y
Yu Fan
Researcher at Jiangsu University
Publications - 59
Citations - 1935
Yu Fan is an academic researcher from Jiangsu University. The author has contributed to research in topics: Relative risk & Population. The author has an hindex of 19, co-authored 52 publications receiving 1118 citations.
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Journal ArticleDOI
CircRNAs in cancer metabolism: a review
TL;DR: This work analyzes the emerging findings and select circRNAs contributing to mutant glycolysis, lipogenesis and lipolysis, glutam inolysis and oxidative respiration to deepen the understanding about the cancer metabolic regulatory network.
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Exosomal circSHKBP1 promotes gastric cancer progression via regulating the miR-582-3p/HUR/VEGF axis and suppressing HSP90 degradation
Mengyan Xie,Tao Yu,Xinming Jing,Ling Ma,Yu Fan,Fengming Yang,Pei Ma,Huning Jiang,Xi Wu,Yongqian Shu,Tongpeng Xu +10 more
TL;DR: It is demonstrated that exosomal circSHKBP1 regulates the miR-582-3p/HUR/VEGF pathway, suppresses HSP90 degradation, and promotes GC progression, and is a promising circulating biomarker for GC diagnosis and prognosis and an exceptional candidate for further therapeutic exploration.
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Diabetes mellitus and risk of hip fractures: a meta-analysis
TL;DR: It was revealed that diabetic adults had a twofold greater risk of hip fractures compared with non-diabetic populations, and this association was more pronounced in type 1 diabetes.
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Immunogenic cell death in anticancer chemotherapy and its impact on clinical studies.
TL;DR: Recent progress in identifying and classifying ICD inducers; concepts and molecular mechanisms of ICD; and the impact and potential applications of I CD in clinical studies are summarized.
Journal ArticleDOI
Ideal cardiovascular health metrics and risk of cardiovascular disease or mortality: A meta-analysis
Na Fang,Menglin Jiang,Yu Fan +2 more
TL;DR: Investigating whether achieving a greater number of ideal cardiovascular health metrics was associated with a lower risk of CVD and mortality in the general population by conducting a meta-analysis of data from available prospective cohort studies found it was so, supporting the use of cardiovascularhealth metrics as a useful tool to predict mortality and cardiovascular disease risk.