Evidence map›Paper›PMID 41771775›Full record

ReviewTechnology in cancer research & treatment

The Gut Microbiota-Ovarian Cancer Axis: Mechanisms of Influence and Therapeutic Implications.

Jiajie Mao, Huijing Bao

Abstract readReview
In one paragraph

Review in Technology in cancer research & treatment. 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

2 authors.

Jiajie MaoSchool of Medical Technology, Tianjin University of Traditional Chinese Medicine, Tianjin, China, 301617.ORCID 0009-0003-1350-251X
Huijing BaoTianjin Children's Hospital/Tianjin University Children's Hospital, Laboratory Science department, Tianjin, China, 300400.ORCID 0000-0001-8719-0457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC), one of the most lethal gynecological malignancies, urgently requires breakthrough diagnostic and therapeutic strategies due to its low survival rate and high recurrence rate. The gut microbiota (GM), which colonizes the human gastrointestinal tract, significantly influences human health. Recent technological advancements have enabled deeper investigation into tumor-bacteria interactions. The GM profoundly participates in OC initiation, progression, and treatment resistance by dynamically regulating the host's immune response, metabolism, and inflammatory microenvironment. This review focuses on three primary mechanisms by which the GM influences OC development and its impact on cancer therapies (chemotherapy, immunotherapy, and targeted therapy). At the mechanistic level, GM dysbiosis promotes OC through multiple pathways: (1) Modulating the tumor microenvironment (TME), including inducing immunosuppressive cell infiltration and impairing anti-tumor immunity; (2) Interfering with estrogen metabolism, thereby elevating bioactive estrogen levels; (3) Producing metabolites that mediate systemic inflammatory signaling and energy metabolism reprogramming. These alterations collectively drive tumor proliferation and metastasis. Although microbiota-based interventions offer novel opportunities for precision therapy in OC, clinical translation faces challenges such as mechanistic complexity and individual heterogeneity. Future research should integrate multi-omics technologies and large-scale clinical trials to advance microbiota modulation strategies from bench to bedside, thereby improving OC prognosis.

Indexed as

Gastrointestinal MicrobiomeOvarian NeoplasmsAnimalsDisease SusceptibilityDysbiosisFemaleHumansTumor Microenvironmentcancer therapygut microbiotamicrobial metabolitesovarian cancertumor microenvironment

Identifiers

PMID41771775
PMCPMC12954004

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.