Evidence map›Paper›PMID 40186151›Full record

ArticleBMC cancer2025

Potential changes in microorganisms and metabolites associated with oral cancer: a preliminary study.

Kaitong Wei, Yaqing Ma, Jing Xu, Hongyu Zheng, Lianping Xue, Yaojuan Chu, Yingying Shi, Zhi Sun, Qiang Sun

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

9 authors.

Kaitong Wei *Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, China.
Yaqing Ma *Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, China.
Jing Xu *Oral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, China.
Hongyu ZhengOral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, China.
Lianping XueDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, China.
Yaojuan ChuDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, China.
Yingying ShiDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, China.
Zhi SunDepartment of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, China.
Qiang SunOral and Maxillofacial Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, China. fccsunq1@zzu.edu.cn.

Funding

Education Department of Henan Province 24A320056Graduate Student Independent Innovation Project of Zhengzhou University 20240349Health Commission of Henan Province HNSWJW-2022016Science and Technology Department of Henan Province,China 212102310592Talent Training Project in Henan Province GCC2025054Zhengzhou University JC23862075
6 · The paper itself

Abstract

backgroundOral squamous cell carcinoma is a malignant tumor with high morbidity and mortality, and changes in microflora have a close relationship with tumor development. In this study, we tried to identify the changes in oral microbial characteristics and metabolite levels in OSCC patients.

methodsIn this study, saliva samples were collected from 40 oral cancer cases and 39 healthy controls. The microbiome was analysed by 16 S rDNA gene sequencing, and the metabolome was detected by Liquid Chromatography-Mass Spectrometry (LC-MS) with metabolite traceability using the Metorigin platform. Correlations between the microbiome and metabolome were analysed using the Spearman correlation method.

resultsThe study found a significant difference in the β diversity of oral microbiota between the oral cancer group and healthy controls, while α diversity showed no significant difference. At the phylum level, Deferribacterota significantly increased, and Cyanobacteria significantly decreased in the oral cancer group. At the genus level, Vibrio and Lactococcus were significantly elevated, while Bifidobacterium and Faecalibacterium were significantly reduced. Metabolomic analysis identified 36 differentially abundant metabolites; 13(S)-HOTrE and 13-HODE were significantly downregulated, while docosanamide was significantly upregulated in the oral cancer group. Six bacteria-specific metabolites, including Indole, were also downregulated. Correlation analysis showed that N-Acetylneuraminic acid had a significant negative correlation with Pseudoalteromonas and Vibrio (r < -0.4).

conclusionThis study found large differences in microbiome levels at the portal level, at the genus level, and significant differences in the levels of a variety of metabolites labeled by indoles, providing a new and potentially valuable direction for the diagnosis and treatment of oral squamous carcinoma.

Indexed as

BacteriaCarcinoma, Squamous CellMetabolomeMicrobiotaMouth NeoplasmsAdultAgedCase-Control StudiesChromatography, LiquidFemaleHumansMaleMetabolomicsMiddle AgedSalivaDiagnostic markersMetabolitesMicrobiomeOral microenvironmentOral squamous cell carcinoma

Identifiers

PMID40186151
PMCPMC11971795

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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.