Evidence map›Paper›PMID 42898827›Full record

ReviewFrontiers in microbiology2026

Gut microbiota in esophageal cancer: mechanisms, clinical implications, and therapeutic potential.

Yonghao Li, Lu Zhou, Ruixue Huang, Yu Wang, Haibin Zhao, Meijuan Sun, Yushuang Zhang, Zhongbing Wu, Jing Li

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yonghao Li *College of Integrated Chinese and Western Medicine, Hebei Medical University, Shijiazhuang, China.
Lu Zhou *College of Integrated Chinese and Western Medicine, Hebei Medical University, Shijiazhuang, China.
Ruixue HuangCollege of Integrated Chinese and Western Medicine, Hebei Medical University, Shijiazhuang, China.
Yu WangCollege of Integrated Chinese and Western Medicine, Hebei Medical University, Shijiazhuang, China.
Haibin ZhaoDepartment of Medical Oncology, Gu'an County People's Hospital, Langfang, Hebei, China.
Meijuan SunDepartment of Medical Oncology, Gu'an County People's Hospital, Langfang, Hebei, China.
Yushuang ZhangDepartment of Traditional Chinese Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Zhongbing WuCollege of Integrated Chinese and Western Medicine, Hebei Medical University, Shijiazhuang, China.
Jing LiCollege of Integrated Chinese and Western Medicine, Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

biomarkerscausal inferenceesophageal cancergut-esophageal axisgut microbiotamicrobiota-targeted intervention

Identifiers

PMID42898827
PMCPMC13678293

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.