ArticleScientific reports2024
Stage dependent microbial dynamics in hepatocellular carcinoma and adjacent normal liver tissues.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- From dysbiosis to malignancy: decoding gut-driven pathways to clinical management in hepatocellular carcinoma.Frontiers in cellular and infection microbiology · 2026Review
- Gut-Liver Microbiome and Tumor Microenvironment in Metabolic Dysfunction-Associated Steatotic Liver Disease.Advances in experimental medicine and biology · 2026Review
- Synergistic anti-obesity effects of Bifidobacterium breve BR3 and Lactiplantibacillus plantarum LP3 via coordinated regulation of lipid metabolism and gut microbiota.Journal of microbiology (Seoul, Korea) · 2025Article
- The microbiome-cancer axis as a hidden contributor to early-onset tumorigenesis.Medical oncology (Northwood, London, England) · 2025Review
- Hierarchical structural component model for pathway analysis of multinomial phenotypes.Genes & genomics · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
The interactive pathway of the gut-liver axis underscores the significance of microbiome modulation in the pathogenesis and progression of various liver diseases, including hepatocellular carcinoma (HCC). This study aims to investigate the disparities in the composition and functionality of the hepatic microbiota between tumor tissues and adjacent normal liver tissues, and their implications in the etiology of HCC. We conducted a comparative analysis of the hepatic microbiome between adjacent normal liver tissues and tumor tissues from HCC patients. Samples were categorized according to the modified Union for International Cancer Control (mUICC) staging system into Non-tumor, mUICC stage I, mUICC stage II, and mUICC stage III groups. Microbial richness and community composition were analyzed, and phylogenetic profiles were examined to identify significantly altered microbial taxa among the groups. Predicted metabolic pathways were analyzed using PICRUSt2. Our analysis did not reveal significant differences in microbial richness and community composition with the development of HCC. However, phylogenetic profiling identified significantly altered microbial taxa among the groups. Sphingobium, known for degrading polychlorinated biphenyls (PCBs), exhibited a significantly negative correlation with clinical indices in HCC patients. Conversely, Sphingomonas, a gut bacterium associated with various liver diseases, showed a positive correlation. Predicted metabolic pathways suggested a correlation between atrazine degradation and valine, leucine, and isoleucine biosynthesis with mUICC stage and tumor size. Our results underscore the critical link between hepatic microbial composition and function and the HCC tumor stage, suggesting a potentially pivotal role in the development of HCC. These findings highlight the importance of targeting the hepatic microbiome for therapeutic strategies in HCC.
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