ReviewFrontiers in microbiology2026
Gut microbiota in esophageal cancer: mechanisms, clinical implications, and therapeutic potential.
Review in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Esophageal cancer (EC) is a highly prevalent and aggressive gastrointestinal malignancy. Late diagnosis and heterogeneous responses to chemoradiotherapy and immune checkpoint inhibitor (ICI) therapies severely challenge clinical management. Accumulating evidence suggests that gut microbiota dysbiosis influences esophageal mucosal malignant transformation, tumor progression, and therapeutic outcomes through the gut-esophageal axis. However, most existing research remains correlational. To bridge this gap, this review critically synthesizes the dysbiosis signatures of EC and establishes a five-tier evidence grading framework to rigorously distinguish causal mechanisms from preclinical inferences. This microbial regulation is predominantly driven by metabolite-mediated signaling, remodeling of the tumor immune microenvironment (TME), intestinal barrier disruption, and oncogenic pathway activation. We functionally classify EC-associated dysbiosis into pro-tumorigenic, anti-tumorigenic, and context-dependent taxa, emphasizing a multidimensional ecosystem perspective. Furthermore, we evaluate the utility of gut microbial signatures as predictive biomarkers for neoadjuvant therapy and prognosis. Microbiota-targeted intervention strategies, including fecal microbiota transplantation (FMT), microecological preparations, and Traditional Chinese Medicine (TCM), have entered clinical exploration as adjunctive approaches to optimize treatment efficacy. Finally, we address current translational barriers and propose future directions, emphasizing multi-omics integration, spatial transcriptomics, and artificial intelligence (AI). This provides an objective, mechanistically grounded framework for advancing microbiota-guided personalized oncology in EC.
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.