Evidence map›Paper›PMID 42198975›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2026

[Fecal microbiota transplantation inhibits colonic tumor growth in mice by suppressing the TLR4/MyD88/NF-κB signaling pathway].

Junqi Zhang, Jing Bai, Xing Ren, Xueshuai Ye, Mengtian Tan, Yong Yang, Lei Li, Zexian Fu

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 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

8 authors.

Junqi ZhangSchool of Clinical Medicine, Hebei University of Engineering, Handan 056002, China.
Jing BaiDepartment of Geriatrics, Affiliated Hospital of Hebei University of Engineering, Handan 056038, China.
Xing RenSchool of Clinical Medicine, Hebei University of Engineering, Handan 056002, China.
Xueshuai YeSchool of Clinical Medicine, Hebei University of Engineering, Handan 056002, China.
Mengtian TanSchool of Clinical Medicine, Hebei University of Engineering, Handan 056002, China.
Yong YangGeneral Surgery Center, Affiliated Hospital of Hebei University of Engineering, Handan 056038, China.
Lei LiGeneral Surgery Center, Affiliated Hospital of Hebei University of Engineering, Handan 056038, China.
Zexian FuSchool of Clinical Medicine, Hebei University of Engineering, Handan 056002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the effects of fecal microbiota transplantation (FMT) on immune function and tumor inhibition in mice.

methodsC57BL/6N mice were divided into blank control group, tumor bearing model group, and FMT intervention group (

resultsFMT significantly reduced tumor mass and volume in the tumor-bearing mice. Peripheral CD3⁻NK1.1⁺ cell counts were significantly decreased in the tumor-bearing mice regardless of FMT treatment, which, however, reversed the increase of CD3

conclusionsFMT modulates the relative abundances of intestinal

Indexed as

Colonic NeoplasmsFecal Microbiota TransplantationToll-Like Receptor 4AnimalsCell Line, TumorKiller Cells, NaturalMaleMiceMice, Inbred C57BLMyeloid Differentiation Factor 88NF-kappa BSignal TransductionTransforming Growth Factor beta1Myd88 protein, mouseMyeloid Differentiation Factor 88NF-kappa BTlr4 protein, mouseToll-Like Receptor 4Transforming Growth Factor beta1intestinal microbiotamicrobiota transplantationNKG2D/ATLR4/MyD88/NF-κBtransforming growth factor-β1

Identifiers

PMID42198975
PMCPMC13213369

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Registered trials

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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.