Evidence map›Paper›PMID 39701092›Full record

ArticleCancer research and treatment2025

Relationships between the Microbiome and Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.

Hye In Lee, Bum-Sup Jang, Ji Hyun Chang, Eunji Kim, Tae Hoon Lee, Jeong Hwan Park, Eui Kyu Chie

Abstract read
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Article in Cancer research and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

7 authors.

Hye In LeeDepartment of Radiation Oncology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Bum-Sup JangDepartment of Radiation Oncology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Ji Hyun ChangDepartment of Radiation Oncology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Eunji KimDepartment of Radiation Oncology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea.
Tae Hoon LeeDepartment of Radiation Oncology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Jeong Hwan ParkDepartment of Pathology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea.
Eui Kyu ChieDepartment of Radiation Oncology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.

Funding

Ministry of Health and Welfare RS-2021-KH120306Ministry of Science and ICTNational Research Foundation of Korea 2017R1A2B4003535Patient-Centered Clinical Research Coordinating CenterSeoul National University Hospital 0320210410
6 · The paper itself

Abstract

purposeThis study aimed to investigate the dynamic changes in the microbiome of patients with locally advanced rectal cancer (LARC) undergoing neoadjuvant chemoradiotherapy (nCRT), focusing on the relationship between the microbiome and response to nCRT. Materials and Methods: We conducted a longitudinal study involving 103 samples from 26 patients with LARC. Samples were collected from both the tumor and normal rectal tissues before and after nCRT. Diversity, taxonomic, and network analyses were performed to compare the microbiome profiles across different tissue types, pre- and post-nCRT time-points, and nCRT responses.

resultsBetween the tumor and normal tissue samples, no differences in microbial diversity and composition were observed. However, when pre- and post-nCRT samples were compared, there was a significant decrease in diversity, along with notable changes in composition. Non-responders exhibited more extensive changes in their microbiome composition during nCRT, characterized by an increase in pathogenic microbes. Meanwhile, responders had relatively stable microbiome communities with more enriched butyrate-producing bacteria. Network analysis revealed distinct patterns of microbial interactions between responders and non-responders, where butyrate-producing bacteria formed strong networks in responders, while opportunistic pathogens formed strong networks in non-responders. A Bayesian network model for predicting the nCRT response was established, with butyrate-producing bacteria playing a major predictive role.

conclusionOur study demonstrated a significant association between the microbiome and nCRT response in LARC patients, leading to the development of a microbiome-based response-prediction model. These findings suggest potential applications of microbiome signatures for predicting and optimizing nCRT treatment in LARC patients.

Indexed as

Gastrointestinal MicrobiomeRectal NeoplasmsAdultAgedChemoradiotherapyFemaleHumansLongitudinal StudiesMaleMiddle AgedNeoadjuvant TherapyTreatment OutcomeButyratesChemoradiotherapyMicrobiotaRectal neoplasmsResponse-prediction model

Identifiers

PMID39701092
PMCPMC12263241

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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.