Evidence map›Paper›PMID 42690486›Full record

Observational studyFunctional & integrative genomics2026

Oral and gut microbiota profiles in patients with locally advanced rectal cancer with varying responses to neoadjuvant chemoradiotherapy.

Yajing Wen, Ziqian Luo, Zhemin Li, Kexin Li, Jiaying Li, Shengqi Yin, Yishu Zou, Huilian Zhang, Yuqin Zhang, Keli Chen and 5 more

Registry-linked trialAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Functional & integrative genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07346729 (Exploring the Predictive Effect of Intestinal and Oral Microbiota on the Efficacy of Neoadjuvant Radiotherapy and Chemotherapy for Locally Advanced Rectal Cancer Based on Machine Learning), which is not on this 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.

NCT07346729 completednot on this map

Exploring the Predictive Effect of Intestinal and Oral Microbiota on the Efficacy of Neoadjuvant Radiotherapy and Chemotherapy for Locally Advanced Rectal Cancer Based on Machine Learning

Typeobservational_patient_registrySponsorNanfang Hospital, Southern Medical UniversityRan2023 to 2024Enrolled60ConditionsRectal Cancer
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

15 authors.

Yajing WenDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ziqian LuoDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhemin LiDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Kexin LiDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jiaying LiDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Shengqi YinDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yishu ZouDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Huilian ZhangDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yuqin ZhangDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Keli ChenHuiQiao Medical Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yaowei ZhangDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China. weiyaozhang2@163.com.
Shupeng LiuDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China. 357838476@qq.com.
Zhenhui ChenDepartment of Microbiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China. chenzhenhui@smu.edu.cn.ORCID http://orcid.org/0000-0001-7680-533X
Lu YuDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China. skyeyulu@i.smu.edu.cn.ORCID http://orcid.org/0000-0003-4073-3842
Yi DingDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China. dy512@smu.edu.cn.ORCID http://orcid.org/0000-0001-5035-9255

Funding

Guangdong Basic and Applied Basic Research Fundation 2024A1515013292Guangdong Basic and Applied Basic Research Fundation 2025A1515010567Guangdong Basic and Applied Basic Research Fundation 2026A1515012094National Natural Science Foundation of China 32300085National Natural Science Foundation of China 82473567National Natural Science Foundation of China 82504340Science and Technology Plan Project of Jiangxi Provincial Administration of Traditional Chinese Medicine 2023A0060
6 · The paper itself

Abstract

Recent research has focused on gut bacteria in colorectal cancer, but the influence of other microbiota, including oral and nonbacterial gut microbiota, on treatment efficacy remains insufficiently explored. This study aimed to investigate their relationship with the efficacy of neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC). Saliva and fecal samples were collected from patients with LARC before treatment. Shotgun metagenomic sequencing was used to profile bacterial, archaeal, eukaryotic, and viral taxonomic groups and to examine oral and gut microbial functions. An artificial intelligence-based prediction model was developed by integrating oral and gut microbiome data with clinical information. Statistical analyses compared diversity and response-associated microbial features between responders and non-responders to nCRT. Response-associated differences were observed in bacterial and nonbacterial taxonomic profiles and in oral and gut microbial functional profiles. In the internal test subset, the integrated analysis yielded an observed AUC of 0.917. Given the small cohort and the exploratory comparison of candidate classifiers, this estimate requires confirmation in larger, independent cohorts. Baseline oral and gut microbiome profiles were associated with response to nCRT. Integrating microbiome and clinical features showed potential for response prediction, but the model remains exploratory and requires validation in larger, independent cohorts before clinical application. Retrospectively registered on 01/08/2026, NCT07346729.

Indexed as

ChemoradiotherapyGastrointestinal MicrobiomeNeoadjuvant TherapyRectal NeoplasmsAgedFecesFemaleHumansMaleMiddle AgedSalivaLocally advanced rectal cancerMetagenomicMicrobiota metabolismMulti-kingdom analysisNeoadjuvant chemoradiotherapyPrediction model

Identifiers

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Registered trials

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.