Gut Microbiota Functional Biomolecules With Immune-Lipid Metabolism for a Prognostic Compound Score in Epstein-Barr Virus-Associated Gastric Adenocarcinoma: A Pilot Study

• DOI: 10.14309/ctg.0000000000000074
• Publication Date: 2019-10-14T15:36:08Z
• Authors: Fang Wang; Jingyi Wu; Yan Wang; Yufen Jin; Xin Jiang; Zhichao Qiu; Yan Qin; Yankui Liu; Xiaowei Qi; Xiaosong Ge; Yong Mao; Yang Cheng; Dong Hua
• Keywords: Gastric adenocarcinoma

OBJECTIVE: Increasing evidence has indicated an association between gut microbiota in gastrointestinal cancer and clinical outcome. Herein, we aim to develop a prognosis-prediction tool based on immune-lipid metabolism signature, tumor cell-associated immune microenvironment, lipid proteins inferred from the function of microbiota. METHODS: 16S gene ribosomal RNA sequencing was performed 10 fecal samples obtained after resection but before chemotherapy (EBVaGC = 4 EBVnGC 6). Least absolute shrinkage selection operator (LASSO) Cox regression applied screening for highly accurate marker proteins. A compound score fraction screened markers then constructed using LASSO logistic model. RESULTS: The Tax4Fun analysis Kyoto Encyclopedia Genes Genomes data differentially expressed pathway EBVaGC. Using model, established consisting 14 types microenvironment In training set (378 patients), significant differences were found high- low-compound groups overall survival across within subpopulations with identical EBV. Multivariable revealed that independent prognostic factor (hazard ratio, 2.26; 95% confidence interval 2.28–3.36). value ;of also confirmed validation (162 patients) entire (540 sets. DISCUSSION: proposed is promising signature estimating patients gastric having EBVaGCs or EBVnGCs.