ReviewBiology2025
Decoding the Tumor-Associated Microbiota: From Origins to Nanomedicine Applications in Cancer Therapy.
Review in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Dietary Terpenoids in Advancing Biofilm-Mediated Cancer Prevention: Antibiofilm Cascade, Molecular Crosstalk, and Nano-Facilitated Functional Delivery.Cell biochemistry and function · 2026Review
- Intratumoral Microbiome of Metastatic Pancreatic Ductal Adenocarcinoma.International journal of molecular sciences · 2026Article
- Spatial niches of the colorectal cancer microbiome: differences, interrelationships, and clinical implications of fecal, mucosal, and intratumoral microbiota.Frontiers in cellular and infection microbiology · 2026Review
- Checkpoint inhibition and beyond: Precision immune engineering for the immune-privileged landscape of ocular malignancies.BioImpacts : BI · 2026Review
- Intratumoral microbiota: implications for cancer progression and treatment.Frontiers in microbiology · 2025Review
- Emerging technologies and current challenges in intratumoral microbiota research.Frontiers in cellular and infection microbiology · 2025Review
- Immune cell metabolic reprogramming in hepatocellular carcinoma: mechanisms, tumor microenvironment, and future immunotherapeutic directions.Frontiers in immunology · 2025Review
- Microbiota as diagnostic biomarkers: advancing early cancer detection and personalized therapeutic approaches through microbiome profiling.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Growing evidence reveals that the tumor microbiome-comprising distinct microbial communities within neoplastic tissues-exerts a profound influence on cancer initiation, progression, and therapeutic response. These microbes actively reshape the tumor microenvironment (TME) through metabolite secretion, the modulation of immune pathways, and direct interactions with host cells, thereby affecting tumor biology and therapeutic outcomes. Despite substantial heterogeneity among cancer types, recent insights underscore the tumor microbiome's potential as both a diagnostic/prognostic biomarker and a targetable component for innovative treatments. In this review, we synthesize emerging knowledge on the mechanistic roles of tumor-associated microbiota in shaping the TME, with a focus on how these discoveries can guide novel therapeutic strategies. We further explore interdisciplinary advances, including the convergence of microbiomics and nanotechnology, to enhance drug delivery, circumvent resistance, and foster TME remodeling. By highlighting these cutting-edge developments, our review underscores the transformative potential of integrating tumor microbiome research into precision oncology and advancing more personalized cancer therapies.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.