Evidence map›Paper›PMID 40732141›Full record

ArticleMicroorganisms2025

Temporal and Spatial Dynamics of Tumor-Host Microbiota in Breast Cancer Progression.

Qi Xu, Aikun Fu, Nan Wang, Zhizhen Zhang

Erratum issuedAbstract read
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Qi XuOcean College, Zhejiang University, Zhoushan 316021, China.
Aikun FuSichuan Clinical Research Center for Medical Imaging, Dazhou 635000, China.
Nan WangOcean College, Zhejiang University, Zhoushan 316021, China.
Zhizhen ZhangOcean College, Zhejiang University, Zhoushan 316021, China.

Funding

2025 Open Research Grants - Sichuan Clinical Research Center for Medical Imaging (Dazhou) YXYX2504
6 · The paper itself

Abstract

Deciphering the spatiotemporal distribution of bacteria during breast cancer progression may provide critical insights for developing bacterial-based therapeutic strategies. Using a murine breast cancer model, we longitudinally profiled the microbiota in breast tumor tissue, mammary gland, spleen, and cecal contents at 3-, 5-, and 7- weeks post-tumor implantation through 16S rRNA gene sequencing. Breast tumor progression was associated with lung metastasis and splenomegaly, accompanied by distinct tissue-specific microbial dynamics. While alpha diversity remained stable in tumors, mammary tissue, and cecal contents, it significantly increased in the spleen (

Indexed as

bacteriabreast tumorgut microbiotaspatiotemporal trajectory progressionsplenomegaly

Identifiers

PMID40732141
PMCPMC12300001

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.