Evidence map›Paper›PMID 41254023›Full record

ArticleScientific reports2025

Metabolic and microbial alterations in oral potentially malignant disorders versus oral squamous cell carcinoma.

Yizhou Liu, Wenjie Wu, Qin Liang, Jing Diao, Wenying Yang, Shuguo Zheng, Ying Han, Chao Yuan

Abstract read
In one paragraph

Article in Scientific reports, 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.

  1. Review
  2. Article
  3. Review
  4. Review
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

8 authors.

Yizhou Liu *Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases &  National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, PR China.
Wenjie Wu *Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases &  National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, PR China.
Qin LiangDepartment of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases &  National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, PR China.
Jing DiaoDepartment of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases &  National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, PR China.
Wenying YangDepartment of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases &  National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, PR China.
Shuguo ZhengDepartment of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases &  National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, PR China. kqzsg86@bjmu.edu.cn.
Ying HanDepartment of Oral Medicine, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases &  National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, PR China. 13683375487@163.com.
Chao YuanDepartment of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases &  National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, PR China. chaoyuan@bjmu.edu.cn.

Funding

National Key Research and Development Program of China 2022YFE0118300Peking University School and Hospital of Stomatology series of clinical research projects PKUSS-2023CRF304
6 · The paper itself

Abstract

Oral potentially malignant disorders (OPMDs) are oral mucosal conditions associated with an increased risk of oral squamous cell carcinoma (OSCC), and their clinical manifestations may be subtle and insidious. The primary aim of this study was to identify metabolite-based biomarkers for early, non-invasive detection of tumor-related metabolic signals in this at-risk population. We enrolled 21 OPMD and 46 OSCC patients, collecting saliva and plasma from all participants and tissue samples from a subset of the same cohort (12 OPMD and 5 OSCC). Untargeted metabolomics identified 491 and 303 differential metabolites in saliva and plasma, respectively. Five metabolites-dodecanoic acid, tetradecanedioic acid, porphobilinogen, uridine, and isocitrate-were significantly altered in both biofluids. Tissue validation showed significant alterations in dodecanoic acid, tetradecanedioic acid, and isocitrate. Using all biologically annotated differential metabolites, AUCs were 0.888 (saliva) and 0.994 (plasma), while the tissue-anchored three-metabolite classifier yielded 0.694 (saliva) and 0.852 (plasma). Full-length 16S rDNA sequencing and integrative microbiome-metabolome analysis indicated potential correlations between microbial shifts and metabolite profiles. Our findings highlight metabolic alterations and cross-compartment associations across saliva, plasma, and tissue in OPMDs and OSCC. Notably, despite the higher internal discrimination of all-differential models, the tumor-informed three-metabolite model captures tissue-aligned metabolic changes detectable in saliva and plasma, providing a specific, non-invasive readout for early detection.

Indexed as

Carcinoma, Squamous CellMouth NeoplasmsAdultAgedBiomarkers, TumorFemaleHumansMaleMetabolomeMetabolomicsMicrobiotaMiddle AgedSalivaBiomarkers, TumorMetabolite biomarkersMetabolomicsOral microbiomeOral potentially malignant disorders (OPMDs)Oral squamous cell carcinoma (OSCC)

Identifiers

PMID41254023
PMCPMC12627484

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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.