Evidence map›Paper›PMID 41362765›Full record

ReviewiScience2025

Tumor-resident microbiota in gynecologic malignancies: Molecular mechanisms, clinical correlations, and translational potential.

Juan Luo, Jiang Yang, Shahe Li, Jingchun Liu, Xiaomin Qin, Lin Li, Wentong Liu, Hui Xing

Abstract readReview
In one paragraph

Review in iScience, 2025. 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.

Juan LuoDepartment of Obstetrics and Gynaecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang 441000, China.
Jiang YangDepartment of Obstetrics and Gynaecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang 441000, China.
Shahe LiDepartment of Obstetrics and Gynaecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang 441000, China.
Jingchun LiuDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430080, China.
Xiaomin QinDepartment of Obstetrics and Gynaecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang 441000, China.
Lin LiDepartment of Obstetrics and Gynaecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang 441000, China.
Wentong LiuDepartment of Obstetrics and Gynaecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang 441000, China.
Hui XingDepartment of Obstetrics and Gynaecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang 441000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intratumoral microbiota refers to the microbial communities, including bacteria, fungi, and viruses, residing within tumor tissues and forming part of the tumor microenvironment. Evidence shows that it significantly influences solid tumors like colorectal and breast cancer. Advances in sequencing have revealed the specific distribution of these microbes in gynecologic malignancies. Their dynamic composition is closely linked to tumor initiation, progression, and response to therapy, providing new insights for precision medicine. This review examines their molecular mechanisms and clinical relevance, focusing on impacts on diagnosis (e.g., microbial biomarkers), personalized treatment (e.g., modulation of chemotherapy/immunotherapy efficacy), and prognosis (e.g., recurrence risk prediction). It also discusses the translational potential and clinical application challenges of targeting microbiota, aiming to provide new strategies for precision medicine in gynecologic oncology.

Indexed as

CancerMicrobiome

Identifiers

PMID41362765
PMCPMC12682283

What OpenQuestion holds

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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.