Evidence map›Paper›PMID 40431230›Full record

ArticleMicroorganisms2025

Microbiome-Induced Microenvironmental Changes Before and After Breast Cancer Treatment.

Jeongshin An, Hyungju Kwon, Young Ju Kim, Byung-In Moon

Abstract 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Jeongshin AnInstitute of Convergence Medicine Research, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul 07985, Republic of Korea.ORCID 0000-0002-1884-8582
Hyungju KwonDepartment of Surgery, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul 07985, Republic of Korea.ORCID 0000-0003-4979-8749
Young Ju KimDepartment of Obstetrics and Gynecology, Ewha Medical Institute and College of Medicine, Ewha Womans University, Seoul 07804, Republic of Korea.ORCID 0000-0002-3153-3008
Byung-In MoonDepartment of Surgery, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul 07985, Republic of Korea.

Funding

National Research Foundation of Korea (NRF) grants funded by the Korean government (MSIT) (RS-2021-NR058775), (RS-2022-NR067387),the Korean Association for Women Surgeons (202201770001)the Ministry of Health and Welfare (RS-2023-00262969)
6 · The paper itself

Abstract

Breast cancer treatment, including surgery, chemotherapy, radiotherapy, and endocrine therapy, can affect the microbiome and microenvironment of the human body. The present study examined how the microbiome changes before and after treatment in patients with breast cancer and explored variations in the expression of putative proteins linked to these shifts. Forty-five patients enrolled in this study, and blood samples were collected and sequenced to analyze microbiome composition. Using these sequences, we estimated and compared the putative protein expression levels. In addition, complete blood count results were analyzed to evaluate treatment-induced alterations. The findings indicate that treatment leads to microbiome modifications associated with changes in the human microenvironment. Moreover, key putative proteins involved in these processes were identified. This study provides valuable insights into how breast cancer treatment affects the microbiome and helps elucidate the potential role of microbial protein expression in patient outcomes.

Indexed as

anemiabreast cancercancer treatmentmicrobiomeneutropenia

Identifiers

PMID40431230
PMCPMC12113986

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.