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Full-Text Articles in Gastroenterology
The Efficacy-Associated Biomarkers For Immune Checkpoint Inhibitors In Gastrointestinal Cancer: A Literature Review, Peixi Zhao, Rui Jin, Bin Zhao, Le Han, Wenjuan Chen, Nina Hao, Yi Cui, Ankit Madan, Joy Awosika, Shane Lloyd, Yili Zhang
The Efficacy-Associated Biomarkers For Immune Checkpoint Inhibitors In Gastrointestinal Cancer: A Literature Review, Peixi Zhao, Rui Jin, Bin Zhao, Le Han, Wenjuan Chen, Nina Hao, Yi Cui, Ankit Madan, Joy Awosika, Shane Lloyd, Yili Zhang
Journal Articles
Background and Objective
Immune checkpoint inhibitors (ICIs) have been widely applied and studied in the treatment of gastrointestinal (GI) cancers, and have achieved good results. However, in clinical practice, it has been observed that only some patients respond well to ICIs, and some patients may experience various degrees of adverse reactions during the treatment. Timely evaluation of the potential therapeutic effects and adverse reactions of ICIs for patients has important clinical significance. This review aimed to summarize recent progress regarding efficacy-associated biomarkers for ICIs in GI cancer.
Methods
The literature on ICI treatment in GI cancers was searched in the …
Clinical Features And Shared Mechanisms Of Chronic Gastritis And Osteoporosis, Tao Han, Yili Zhang, Baoyu Qi, Ming Chen, Kai Sun, Xiaokuan Qin, Bowen Yang, He Yin, Aili Xu, Xu Wei, Liguo Zhu
Clinical Features And Shared Mechanisms Of Chronic Gastritis And Osteoporosis, Tao Han, Yili Zhang, Baoyu Qi, Ming Chen, Kai Sun, Xiaokuan Qin, Bowen Yang, He Yin, Aili Xu, Xu Wei, Liguo Zhu
Journal Articles
Chronic gastritis (CG) and osteoporosis (OP) are common and occult diseases in the elderly and the relationship of these two diseases have been increasingly exposed. We aimed to explore the clinical characteristics and shared mechanisms of CG patients combined with OP. In the cross-sectional study, all participants were selected from BEYOND study. The CG patients were included and classified into two groups, namely OP group and non-OP group. Univariable and multivariable logistic regression methods were used to evaluate the influencing factors. Furthermore, CG and OP-related genes were obtained from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified …