Guangfu Jin,PhD
Professor , Department of Epidemiology , Nanjing Medical University
Associate Dean,School of Public Health , Nanjing Medical University
Vice Director , Collaborative Innovation Center for Cancer Personalized Medicine
Associate Editor , Cancer Medicine
Associate Editor , Cancer Science
Email :guangfujin@njmu.edu.cn
Research Interest
Dr. Jin mainly engaged inmolecular epidemiology and genetic epidemiology, especially focusing on cancer biomarkers and personalized medicine, including:
1) Identifying high-risk population of cancer by integrating traditional factors and new biomarkers, and developing technologies, tools and strategies for cancer prevention and control;
2) Discovering molecular biomarkers for molecular diagnosis, individualized treatment, dynamic monitoring, and prognosis prediction to promote accurate diagnosis and treatment of cancer;
3) Clarifying biological functions and molecular mechanisms of related biomarkers in the process of multi-stage carcinogenesis.
Education
Nanjing Medical University, Preventive Medicine, B.S. (1999.9-2004.7)
Nanjing Medical University, Epidemiology and Biostatistics, Ph.D.(2004.9-2009.7)
Wake Forest University, School of Medicine, Postdoctoral Fellow (2010.8-2012.2)
Honors and Awards:
2018 National Natural Science Award of China (Second Class)
2020 Award for Young Cancer Scientist of China
Ongoing Research Projects
PI, Biological mechanisms of germline variants and somatic mutations in the development of gastric cancer.NSFC,81872702
PI, Molecular and genetic epidemiology. NSFC, 82125033
Selected Papers
Zhu M, Wang T,Huang Y, Zhao X, Ding Y, Zhu M, Ji M, Wang C, Dai J, Yin R, Xu L, MaH, Wei Q, Jin G,Hu Z, Shen H. Genetic Risk for Overall Cancer and the Benefit of Adherence to a Healthy Lifestyle. CancerRes.2021 Sep;81(17):4618-4627.
Jin G,Lv J, Yang M, Wang M, Zhu M, Wang T, Yan C, Yu C, Ding Y, Li G, RenC, Ni J, Zhang R, Guo Y, Bian Z, Zheng Y, Zhang N, Jiang Y, Chen J,Wang Y, Xu D, Zheng H, Yang L, Chen Y, Walters R, Millwood IY, DaiJ, Ma H, Chen K, Chen Z, Hu Z, Wei Q, Shen H, Li L. Genetic risk, incident gastric cancer, and healthy lifestyle: a meta-analysis of genome-wide association studies and prospective cohort study. LancetOncol.2020 Oct; 21(10):1378-1386.
Yan C, Zhu M, DingY, Yang M, Wang M, Li G, Ren C, Huang T, Yang W, He B, Wang M, Yu F,Wang J, Zhang R, Wang T, Ni J, Chen J, Jiang Y, Dai J Zhang E, Ma H,Wang Y, Xu D, Wang S, Chen Y, Xu Z, Zhou J, Ji G, Wang Z, Zhang Z,Hu Z, Wei Q, Shen H, Jin G. Meta-analysis of genome-wide association studies and functional assays decipher susceptibility genes for gastric cancer in Chinese populations. Gut.2020;69(4):641-651.
Yu F, Tian T, DengB, Wang T, Qi Q, Zhu M, Yan C, Ding H, Wang J, Dai J, Ma H, Ding Y,Jin G.Multi-marker analysis of genomic annotation on gastric cancer GWAS data from Chinese populations.GastricCancer.2019; 22(1):60-68.
Yan C, Zhu M, HuangT, Yu F, Jin G.Genome-wide association studies identified loci contribute to phenotypic variance of gastric cancer.Gut.2018;67(7):1366-1368.
Yan C, Ji Y, HuangT, Yu F, Gao Y, Gu Y, Qi Q, Du J, Dai J, Ma H, Jin G.An esophageal adenocarcinoma susceptibility locus at 9q22 alsoconfers risk to esophageal squamous cell carcinoma by regulating the function of BARX1. CancerLett.2018 May 1;421:103-111.
Zhu M, Yan C, RenC, Huang X, Zhu X, Gu H, Wang M, Wang S, Gao Y, Ji Y, Miao X, YangM, Chen J, Du J, Huang T, Jiang Y, Dai J, Ma H, Zhou J, Wang Z, HuZ, Ji G, Zhang Z, Shen H, Shi Y, Jin G.Exome Array Analysis Identifies Variants in SPOCD1 and BTN3A2 That Affect Risk for Gastric Cancer. Gastroenterology.2017;152(8):2011-2021.
Jin G,Zhu M, Yin R, Shen W, Liu J, Sun J, Wang C, Dai J, Ma H, Wu C, etal. Low-frequency coding variants at 6p21.33 and 20q11.21 are associated with lung cancer risk in Chinese populations. AmJ Hum Genet.2015;96(5):832-40.
Zhu C, Ren C, HanJ, Ding Y, Du J, Dai N, Dai J, Ma H, Hu Z, Shen H, Xu Y*, JinG*.A five-microRNA panel in plasma was identified as potential biomarker for early detection of gastric cancer. BrJ Cancer.2014;110(9):2291-9.
Jin G,Ma H, Wu C, Dai J, Zhang R, Shi Y, Lu J, Miao X, Wang M, Zhou Y, etal. Genetic variants at 6p21.1 and 7p15.3 are associated with risk of multiple cancers: evidence from three genome-wide association studies on different cancers in Han Chinese populations. AmJ Hum Genet.2012;91(5):928-34.
