ArticleClinical and translational gastroenterology2019
Gut Microbiota Functional Biomolecules With Immune-Lipid Metabolism for a Prognostic Compound Score in Epstein-Barr Virus-Associated Gastric Adenocarcinoma: A Pilot Study.
Article in Clinical and translational gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Human microbiome alterations in Epstein-Barr Virus infection: a systematic review.Gut pathogens · 2026Review
- How Does Epstein-Barr Virus Interact With Other Microbiomes in EBV-Driven Cancers?Frontiers in cellular and infection microbiology · 2022Review
- Relationships among microbiota, gastric cancer, and immunotherapy.Frontiers in microbiology · 2022Review
- Tumor-Associated Microbiome: Where Do We Stand?International journal of molecular sciences · 2021Review
- Cancer-associated fibroblasts in gastric cancer affect malignant progression via the CXCL12-CXCR4 axis.Journal of Cancer · 2021Article
- Microbiome and Functional Analysis of a Traditional Food Process: Isolation of a Novel Species (Frontiers in microbiology · 2020Article
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIncreasing 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 an immune-lipid metabolism signature, tumor cell-associated immune microenvironment, and lipid metabolism proteins inferred from the function of gut microbiota.
methods16S gene ribosomal RNA sequencing was performed on 10 fecal samples obtained after tumor resection but before chemotherapy (EBVaGC = 4 and EBVnGC = 6). Least absolute shrinkage and selection operator (LASSO) Cox regression was applied to screening for highly accurate marker proteins. A compound score based on the fraction of screened markers was then constructed using a LASSO logistic regression model.
resultsThe Tax4Fun analysis based on Kyoto Encyclopedia of Genes and Genomes data indicated differentially expressed tumor pathway between EBVnGC and EBVaGC. Using the LASSO logistic model, a compound score was established consisting of 14 types of immune microenvironment and lipid metabolism proteins. In the training set (378 patients), significant differences were found between high- and low-compound score groups in overall survival across and within subpopulations with an identical EBV. Multivariable analysis revealed that the compound score was an independent prognostic factor (hazard ratio, 2.26; 95% confidence interval = 2.28-3.36). The prognostic value ;of the compound score was also confirmed in the validation (162 patients) and entire (540 patients) sets. DISCUSSION: The proposed compound score is a promising signature for estimating overall survival in patients with gastric cancer having EBVaGCs or EBVnGCs.
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