ArticleBMC cancer2025
Multi-omics analysis reveals disrupted gut microbiota and metabolism in gastric cancer patients with high SIRI.
Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A nomogram based on systemic inflammatory markers: development and validation for predicting postoperative overall survival in gastric cancer.Translational cancer research · 2026Article
- Specific diagnostic value of systemic immune-inflammation indices combined with nutritional and tumor markers in the stage diagnosis of pancreatic cancer: a retrospective cohort study.Frontiers in oncology · 2026Article
- Combined Inflammatory Burden Index and hand grip strength for prognostic assessment in gastric cancer patients: a multicenter cohort study.Frontiers in nutrition · 2026Article
- Therapeutic regulation of gut microbiota in gastric cancer: mechanisms, strategies, and clinical prospects.Frontiers in microbiology · 2026Review
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10 authors.
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Abstract
backgroundInflammation significantly affects the progression of gastric cancer (GC). The Systemic Inflammation Response Index (SIRI) is an emerging prognostic marker for various malignant tumors, including GC. However, the mechanisms by which SIRI influences patient outcomes remain unclear. This study employed a multi-omics approach to analyze GC patients with different SIRI levels, aiming to identify factors underlying differences in prognosis.
methodsA cohort of 495 GC patients was classified into high SIRI (n = 276) and low SIRI (n = 219) groups using a threshold of 2.6. Kaplan-Meier analysis and Receiver operating characteristic (ROC) curves were used to assess survival outcomes and the predictive accuracy of SIRI compared to other inflammatory markers. Gut microbiota and untargeted metabolomics analyses were conducted on stool samples from 45 GC patients, including 21 with high SIRI and 24 with low SIRI.
resultsElevated SIRI levels were significantly associated with worse OS (P = 0.004, HR = 1.845, 95% CI: 1.231-2.766) and DFS (P < 0.0001, HR = 3.102, 95% CI: 2.016-4.772) in GC patients. Multi-omics analysis revealed distinct gut microbial and metabolic profiles between high- and low-SIRI subgroups. High SIRI was linked to increased Escherichia-Shigella and decreased levels of Blautia and Klebsiella. Metabolomic differences included elevated N-Acetylcadaverine and Epsilon-caprolactam, and decreased S-(PGA2)-glutathione. Integrative analysis identified significant microbe-metabolite correlations, such as Escherichia-Shigella with N-Acetylcadaverine and Epsilon-caprolactam. These findings suggest that SIRI-associated microbial and metabolic features may serve as non-invasive markers for inflammatory risk stratification in GC.
conclusionHigh SIRI levels are associated with poorer prognosis in GC patients. Significant differences in gut microbiota and metabolites were observed across different SIRI levels in GC patients, showing their potential as non-invasive markers for GC risk stratification based on SIRI levels.
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