Yi-Rui Chen

Yi-Rui Chen


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 August 2022 in Clinical and Translational Oncology
Verified
Journal Article
Closed access
PDF file
YPYe Peng
Ye Peng
YWYanzhong Wang
Yanzhong Wang
MWManling Wang
Manling Wang
JLJianping Lan
Jianping Lan
YCYi-Rui Chen
Yi-Rui Chen

18 March 2023 in Immunologic Research
Verified
Journal Article
Closed access
PDF file
YPYe Peng
Ye Peng
YCYirui Chen
Yirui Chen
YWYanzhong Wang
Yanzhong Wang
WWWensong Wang
Wensong Wang
SQSai Qiao
Sai Qiao
YCYi-Rui Chen
Yi-Rui Chen

27 August 2022 in Journal of Oncology
Verified
Journal Article
Open access
PDF file
XZXia Zheng
Xia Zheng
YWYanzhong Wang
Yanzhong Wang
YCYi-Rui Chen
Yi-Rui Chen
A previous research study on differentiating gastric cancer (GC) into distinct subtypes or prognostic models was mostly based on GC tissues, which neglected the role of nontumour tissues in GC subtypes. The purpose of the research was to identify GC subtypes on the basis of tumour and adjacent nontumour tissues to assess the prognosis of GC patients. We characterized three GC subtypes on the basis of the immunologic and hallmark gene sets in GC and adjacent nontumour tissues: among them, the GC patients with subtype I had the longest survival time compared to patients with other subtypes. The classification was closely associated with T stage and pathological stage of GC patients. A prognostic model containing two gene sets was constructed by LASSO analysis. KaplanMeier analysis showed that patients in the high-risk group survived longer than those in the low-risk group and the two prognostic genes sets in the model were strongly correlated with survival status. Then, GO and KEGG analyses and PPI network show that nontumour and tumour tissues are influencing the prognosis of GC patients in separate manners. In summary, we emphasized the prognostic value of nontumour tissue in GC patients and proposed a novel insight that both changes in tumour and nontumour tissues should be taken into account when selecting a treatment strategy for GC.