Evidence map›Paper›PMID 42469627›Full record

ArticleBMC microbiology2026

Human salivary microbiome as a potential non-invasive biomarker for early-onset colorectal cancer screening: a prospective study.

Junhai Zhen, Mingyue Dong, Yangbo Li, Beibei Cao, Fei Liao, Dandan Lin, Jixiang Zhang, Chuan Liu, Xianwei Zheng, Weiguo Dong

Abstract read
In one paragraph

Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Junhai Zhen *Department of General Practice, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang Province, China.
Mingyue Dong *The State Key Lab. LIESMARS, Wuhan University, 299 Bayi Road, Wuhan, 430072, Hubei Province, China.
Yangbo Li *Department of Gastroenterology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Road, Wuhan, 430060, Hubei Province, China.
Beibei Cao *Department of Pathology, Zhejiang Hospital, Hangzhou, 310030, Zhejiang Province, China.
Fei LiaoDepartment of Gastroenterology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Road, Wuhan, 430060, Hubei Province, China.
Dandan LinCancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, China.
Jixiang ZhangDepartment of Gastroenterology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Road, Wuhan, 430060, Hubei Province, China.
Chuan LiuDepartment of Gastroenterology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Road, Wuhan, 430060, Hubei Province, China.
Xianwei ZhengThe State Key Lab. LIESMARS, Wuhan University, 299 Bayi Road, Wuhan, 430072, Hubei Province, China. zhengxw@whu.edu.cn.
Weiguo DongDepartment of Gastroenterology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Road, Wuhan, 430060, Hubei Province, China. dongweiguo@whu.edu.cn.ORCID https://orcid.org/0000-0002-4228-6508

Funding

National Natural Science Foundation of China 82170549
6 · The paper itself

Abstract

backgroundThe incidence of early-onset colorectal cancer (EOCRC) has been increasing in recent years, the carcinogenesis of which has been linked to oral microbiota alterations. However, it is unknown if the salivary microbiome could help detect EOCRC. Therefore, we aimed to determine whether salivary microbiome profiles can distinguish patients with EOCRC from healthy individuals and to evaluate their diagnostic performance as a non-invasive screening tool.

methodsWe collected saliva samples from 65 EOCRC patients and 63 control individuals, the microbiota of which was assessed using high-throughput 16S ribosomal RNA gene V3-V4 region sequencing. We then profiled the saliva microbiota and developed EOCRC screening models using machine learning (ML) algorithms.

resultsThe alpha diversity was comparable between salivary microbiomes of the EOCRC patients and control individuals, while the beta diversity exhibited statistical difference between two groups. A differential analysis of the genus-level saliva microbial communities revealed that, in the EOCRC patients, Prevotella, Actinomyces, and Corynebacterium were more abundant, whereas Fusobacterium, Haemophilus, norank_o__Absconditabacteriales_SR1, norank_c__Gracilibacteria, Peptococcus, Eikenella, and Eubacterium_yurii_group were less abundant. Furthermore, in developing the EOCRC screening model based on the salivary microbiome, the neural network model showed the best performance, achieving an AUC of 0.780 and a recall of 0.929, showing potential for distinguishing EOCRC patients from control individuals in this cohort.

conclusionsThis study first highlights the potential dysbiosis of salivary microbiota in EOCRC patients and suggests that salivary microbiome-based biomarkers may serve as potential non-invasive tools for EOCRC screening. Additional research with larger sample sizes would help to further validate these findings.

trial registrationThis study was registered with the Chinese Clinical Trial Registry (registration number: ChiCTR2400087634) on July 31, 2024, retrospectively registered.

Indexed as

BacteriaColorectal NeoplasmsEarly Detection of CancerMicrobiotaSalivaAgedBiomarkers, TumorFemaleHumansMachine LearningMaleMiddle AgedProspective StudiesRNA, Ribosomal, 16SBiomarkers, TumorRNA, Ribosomal, 16SCancer screeningEarly-onset colorectal cancerMachine learningSalivary microbiome

Identifiers

PMID42469627
PMCPMC13660329

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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.