Evidence map›Paper›PMID 41669108›Full record

ArticleFrontiers in oncology2026

Chemotherapy-induced gut microbiota dysbiosis exacerbates cancer-related fatigue in breast cancer patients via neuroimmune-endocrine indicators.

Fengxia Lai, Yang Yuan, Haiyan Dong, Daoxia Guo, Zhongfang Yang, Li Tian

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Modulation of the gut microbiota by traditional Chinese medicine to attenuate chemotherapy-induced toxicity in gastric cancer: a review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Review
  2. Article
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

6 authors.

Fengxia Lai *The First Affiliated Hospital of Soochow University, Suzhou, China.
Yang Yuan *School of Nursing, Medical College of Soochow University, Suzhou, China.
Haiyan Dong *School of Nursing, Medical College of Soochow University, Suzhou, China.
Daoxia GuoSchool of Nursing, Medical College of Soochow University, Suzhou, China.
Zhongfang YangSchool of Nursing, Medical College of Soochow University, Suzhou, China.
Li TianThe First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer patients frequently experience debilitating cancer-related fatigue (CRF) during chemotherapy. Emerging evidence implicates the gut microbiota (GM) and the gut-brain axis in CRF pathogenesis, yet whether pre-chemotherapy GM profiles can predict CRF remains unclear. Methods: This prospective cohort study enrolled 100 breast cancer patients initiating chemotherapy. GM profiling and fatigue assessment (Visual Analogue Fatigue Scale, Cancer Fatigue Scale) were performed at baseline and the third chemotherapy cycle. Serum levels of neuroimmune-endocrine markers were also measured. Multivariate logistic regression was used to build a predictive model for moderate-to-severe CRF. Results: Patients experiencing moderate-to-severe CRF at the third chemotherapy cycle demonstrated higher baseline Conclusion: Baseline GM characteristics predict the risk and severity of chemotherapy-induced CRF, potentially through modulation of neuroimmune-endocrine pathways via gut-brain axis. These findings underscore the potential role of GM as a predictive biomarker and a therapeutic target for chemotherapy-induced CRF.

Indexed as

adjuvant chemotherapybreast cancercancer-related fatiguedifferential abundance analysisgut microbiotaneuroimmune-endocrine indicators

Identifiers

PMID41669108
PMCPMC12883358

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.