Evidence map›Paper›PMID 42552537›Full record

ArticleJournal of translational medicine2026

Chemotherapy-driven gut microbiota remodeling in ovarian cancer: a prospective longitudinal study.

Wenpei Shi, Na Li, Shanshan Cheng, Yaqian Zhao, Yue Zhang, Hui Ding, Yi Li, Ruomeng Bi, Xinyu Lu, Zhen Li and 1 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 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

11 authors.

Wenpei Shi *Clinical Research Unit, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. shiwenpei@51mch.com.
Na Li *Department of Gynecology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Shanshan ChengDepartment of Gynecology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Yaqian ZhaoDepartment of Gynecology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Yue ZhangDepartment of Gynecology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Hui DingDepartment of Gynecology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Yi LiClinical Research Unit, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Ruomeng BiClinical Research Unit, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Xinyu LuClinical Research Unit, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Zhen LiClinical Research Unit, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. zhen_li@tongji.edu.cn.
Yu WangDepartment of Gynecology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. renjiwangyu@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe gut microbiome shapes chemotherapy efficacy and outcomes in several cancers, but evidence in ovarian cancer (OC) remains limited and largely cross-sectional. Despite high initial response rates, long-term relapse in OC remains frequent, while conventional markers capture only short-term therapeutic sensitivity. Whether longitudinal gut-microbiome trajectories during chemotherapy are associated with long-term recurrence remains unknown.

methodsWithin the prospective SOCFCP cohort (N = 91; 13 recurrences), 100 serial fecal samples from a 33-patient sub-cohort were analyzed by 16S rRNA sequencing across the early, middle and late chemotherapy phases. Microbial successional trajectories and their association with recurrence were assessed by linear mixed-effects modeling, multivariable MaAsLin3 and repeated-measures correlation (rmcorr) networks, alongside stratified and covariate-adjusted sensitivity analyses and patient-level bootstrap assessment. The cumulative severe-toxicity-recurrence relationship was estimated by Firth penalized-likelihood regression, suited to sparse, separation-prone events.

resultsMicrobial α-diversity rose progressively across the chemotherapy course (Shannon time effect p = 0.002), consistent with ecological succession, with higher turnover among peripheral than in core taxa (p = 0.005). Cumulative severe toxicity was not associated with recurrence (Firth OR = 0.99, 95% CI 0.68-1.39). Crucially, recurrent patients exhibited a progressive depletion of Fusicatenibacter (recurrence × time coefficient = -5.35, q < 0.001) that persisted across all sensitivity analyses-stratified, medication-adjusted, antibiotic-depleted and clinically-adjusted models (coefficient -4.60 to -5.66, all q < 0.001). PICRUSt2-based functional inference identified recurrence-associated differences in predicted de novo nucleotide-biosynthesis and cell-wall-assembly pathway abundance (q < 0.05). A bootstrap-supported co-variation network further linked specific taxa, notably Escherichia-Shigella and Roseburia, to these recurrence-associated pathways.

conclusionChemotherapy-driven gut-microbiome remodeling, in particular the recurrence-associated depletion of Fusicatenibacter, was associated with long-term OC relapse, whereas cumulative severe toxicity showed no significant association with recurrence. These longitudinal microbial dynamics support a candidate non-invasive marker that warrants external validation, and provide a hypothesis-generating rationale for testing whether targeting specific predicted bacterial functional pathways can modulate the host anti-tumor milieu.

Indexed as

Antineoplastic AgentsGastrointestinal MicrobiomeOvarian NeoplasmsFemaleHumansLongitudinal StudiesMiddle AgedNeoplasm Recurrence, LocalProspective StudiesRNA, Ribosomal, 16SAntineoplastic AgentsRNA, Ribosomal, 16SChemotherapyGut microbiotaLongitudinal dynamicsOvarian cancerTumor recurrence

Identifiers

PMID42552537
PMCPMC13440107

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.