Bin Chen
Sun Yat-sen University
4 Papers
78 Citations
Bin Chen is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Genotype & Interleukin. The author has an hindex of 4, co-authored 4 publications. Previous affiliations of Bin Chen include Guangzhou University of Chinese Medicine.
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Papers
Association between polymorphisms in interleukin-17A and interleukin-17F genes and risks of gastric cancer.
Xiaoqin Wu,Zhirong Zeng,Bin Chen,Jun Yu,Ling Xue,Yuantao Hao,Minhu Chen,Joseph J.Y. Sung,Pinjin Hu +8 more
TL;DR: It is suggested that polymorphism of IL‐17F 7488 involved in susceptibility to gastric cancer, which also influenced certain subtypes according to clinicopathological features, whereas IL‐ 17A 197 may be less relevant.
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Association of interleukin-17F 7488 single nucleotide polymorphism and inflammatory bowel disease in the Chinese population
TL;DR: This study shows that IL-17F 7488 A > G polymorphism is associated with weak UC protection in the Chinese population and the clinical phenotypes of UC are also affected by this polymorphism.
57
IL23R +2199A/C polymorphism is associated with decreased risk of certain subtypes of gastric cancer in Chinese: a case-control study.
Bin Chen,Bin Chen,Zhirong Zeng,Lixia Xu,Xiaoqin Wu,Jun Yu,Ling Xue,Yuantao Hao,Yiming Wang,Joseph J.Y. Sung,Minhu Chen,Pinjin Hu +11 more
TL;DR: Multivariate analysis showed IL23R +2199A/C variant was not an independent prognostic factor for gastric cancer patients, and understanding the etiologic heterogeneity of Gastric cancer may result in improvements in controlling this disorder.
29
Association between the TGFB1 -509C/T and TGFBR2 -875A/G polymorphisms and gastric cancer: a case-control study
Lixia Xu,Zhirong Zeng,Bin Chen,Xiaoqin Wu,Jun Yu,Ling Xue,Linwei Tian,Yiming Wang,Minhu Chen,Joseph J.Y. Sung,Pinjin Hu +10 more
TL;DR: The results suggest that both the TGFB1 -509 and TGFBR2 -875 polymorphisms contribute to a decreased gastric cancer risk and provide clues to the biological mechanisms that underline tumor heterogeneity.