ReviewMedComm2026
Tumor Immunotherapy and Microbiome: From Bench-to-Bedside Applications.
Review in MedComm, 2026. 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.
- Harnessing Gut Microbiota to Enhance Immunotherapy in NSCLC: From Mechanisms to Translational Applications.Cancer medicine · 2026Review
- Sequential immune checkpoint inhibition after palliative radiotherapy in patients with advanced head and neck squamous cell carcinoma: A retrospective cohort study.Molecular and clinical oncology · 2026Article
- Review
- Resistance Mechanisms in Immunotherapy-Radiotherapy/Chemotherapy Combinations in Locally Advanced Head & Neck Squamous Cell Carcinoma.Oncology research · 2026Review
- Programming the tumor microenvironment through microbiome-driven mechanisms.Frontiers in cellular and infection microbiology · 2026Review
- Clinical application of fecal microbiota transplantation and its influencing factors.Frontiers in microbiology · 2026Review
- The tumor microenvironment: a dynamic ecosystem and therapeutic nexus in modern oncology.Frontiers in pharmacology · 2026Review
- Microbial metabolites and the gut-lung axis in non-small cell lung cancer immunotherapy: evidence boundaries and translational implications.Frontiers in medicine · 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
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer immunotherapy has emerged as a transformative therapeutic strategy that harnesses the immune system to combat malignant tumors, overcoming critical limitations such as the nonspecific cytotoxicity of conventional chemotherapy and radiotherapy and drug resistance arising from target mutations in targeted therapies. Growing evidence demonstrates that the human microbiome plays a pivotal role in modulating immune responses and influencing the efficacy of immunotherapeutic interventions. Although the impact is increasingly recognized, the molecular mechanisms and translational potential of microbiome-based strategies remain incompletely explored. This review systematically elucidates how microorganisms from distinct anatomical sites (including bacteria, fungi, and viruses residing in the gut, oral cavity, skin, respiratory tract, and urogenital tract) and intratumoral microbes modulate the tumor immune microenvironment through metabolites, immune cell priming, and antigen mimicry. Furthermore, we discuss how specific microbial signatures predict responses to immune checkpoint inhibitors (ICIs) and CAR-T cell therapy, and highlight emerging interventional strategies, including fecal microbiome transplantation (FMT), probiotics, and engineered bacteria, that demonstrate synergistic effects with immunotherapy in preclinical and clinical settings. By integrating mechanistic insights with translational advances, this review provides a comprehensive scientific foundation for microbiome-based precision immunotherapy, aimed at improving patient survival outcomes and reducing treatment-related adverse events.
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.