ArticleCancer & metabolism2025
Identification and impact of microbiota-derived metabolites in ascites of ovarian and gastrointestinal cancer.
Article in Cancer & metabolism, 2025. 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.
- The interaction between microbes and cytokines in cancer: unraveling the underlying effects.Journal of translational medicine · 2026Review
- Combination of Tripterygium glycosides and Lactobacillus paracasei sensitises epithelial ovarian cancer to cisplatin via downregulating Keap1-Nrf2-GPX4 signalling pathway.Cellular & molecular biology letters · 2026Article
- CAR-adapted PIK3CD base editing enhances T cell anti-tumor potency.Nature cancer · 2026Article
- The role of the microbiome in gynecological cancers: implications for diagnosis and treatment.Frontiers in immunology · 2026Review
- Harnessing ovarian cancer ascites for translational science: models, biomarkers, and therapeutics.Molecular cancer · 2025Review
- The Gut Microbiota-Ovarian Cancer Axis: Mechanisms of Influence and Therapeutic Implications.Technology in cancer research & treatmentReview
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMalignant ascites is a common complication of advanced ovarian cancer (OC) and gastrointestinal cancer (GI), significantly impacting metastasis, quality of life, and survival. Increased intestinal permeability can lead to blood or lymphatic infiltration and microbial translocation from the gastrointestinal or uterine tract. This study aimed to identify microbiota-derived metabolites in ascites from OC (stages II-III and IV) and GI patients, assessing their roles in tumor progression.
methodsMalignant ascites samples from 18 OC and GI patients were analyzed using a four-dimensional (4D) untargeted metabolomics approach combining reversed-phase (RP) and hydrophilic interaction liquid chromatography (HILIC) with trapped ion mobility spectrometry time-of-flight mass spectrometry (timsTOF-MS). Additonally, a targeted flow cytometry-based cytokine panel was used to screen for inflammatory markers. Non-endogenous, microbiota-derived metabolites were identified through the Human Microbial Metabolome Database (MiMeDB).
resultsOC stage IV exhibited metabolic profiles similar to GI cancers, while OC stage II-III differed significantly. Stage IV OC patients exhibited higher levels of 11 typically microbiome-derived metabolites, including 1-methylhistidine, 3-hydroxyanthranilic acid, 4-pyridoxic acid, biliverdin, butyryl-L-carnitine, hydroxypropionic acid, indole, lysophosphatidylinositol 18:1 (LPI 18:1), mevalonic acid, N-acetyl-L-phenylalanine, and nudifloramide, and lower levels of 5 metabolites, including benzyl alcohol, naringenin, o-cresol, octadecanedioic acid, and phenol, compared to stage II-III. Correlation analysis revealed positive associations between IL-10 and metabolites such as glucosamine and LPCs, while MCP-1 positively correlated with benzyl alcohol and phenol.
conclusion4D metabolomics revealed distinct metabolic signatures in OC and GI ascites, highlighting microbiota-derived metabolites involved in lipid metabolism and inflammation. Metabolites like 3-hydroxyanthranilic acid, indole, and naringenin may serve as markers of disease progression and underscore the microbiota's role in shaping malignant ascites and tumor biology.
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