ReviewFrontiers in cellular and infection microbiology2026
Programming the tumor microenvironment through microbiome-driven mechanisms.
Review in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- The microbiome as a systems-level regulator of immune, metabolic, neural, and endocrine signaling in cancer.Frontiers in immunology · 2026Review
- Spatial Treg niches and the therapeutic reprogramming of tumour tolerance in cancer.Frontiers in cell and developmental biology · 2026Review
- The gut microbiome-cardiometabolic axis: insights into obesity, type 2 diabetes, and hypertension.Frontiers in endocrinology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The tumor microenvironment (TME) comprises interacting immune, stromal, and metabolic compartments that determine tumor behavior and treatment response. Microbial communities modulate host signaling within the TME through metabolite-driven and receptor-mediated mechanisms. Lipopolysaccharides (LPS), short-chain fatty acids (SCFAs), bile acids, and amino acid-derived metabolites engage host receptors, including Toll-like receptors, G protein-coupled receptors, and aryl hydrocarbon receptor pathways, to regulate immune cell differentiation, antigen presentation, and metabolic adaptation. These microbiome-derived signals promote context-dependent immune suppression or immune activation according to metabolite concentration, receptor engagement, and immune cell composition, thereby influencing tumor progression and immune evasion. Host-driven inflammation and metabolic constraints reshape microbial composition and function within tumor-associated niches. Microbiome-associated mechanisms contribute to tumor initiation, progression, and therapeutic response through modulation of immune checkpoint activity and drug metabolism. Major limitations include reliance on associative human data, methodological variability across sequencing approaches, contamination in low-biomass samples, and incomplete integration of multi-omics datasets. Clinical translation requires mechanistic validation, longitudinal study designs, and standardized analytical frameworks to define reproducible microbiome-associated signatures.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.