Evidence map›Paper›PMID 30539290›Full record

ArticleClinical oral investigations2019

Identification of salivary metabolites for oral squamous cell carcinoma and oral epithelial dysplasia screening from persistent suspicious oral mucosal lesions.

Shigeo Ishikawa, David T W Wong, Masahiro Sugimoto, Frederico Omar Gleber-Netto, Feng Li, Michael Tu, Yong Zhang, David Akin, Mitsuyoshi Iino

Abstract read
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In one paragraph

Article in Clinical oral investigations, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

26 citing papers in PubMed, 44 citations in OpenAlex.

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  8. Biological biomarkers of oral cancer.Periodontology 2000 · 2024
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  20. Advances in Biomarkers and Diagnostics in Periodontitis and Oral Diseases.International journal of environmental research and public health · 2021
    Article
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 at 3 institutions in 2 countries.

Shigeo IshikawaDepartment of Dentistry, Oral and Maxillofacial Plastic and Reconstructive Surgery, Faculty of Medicine, Yamagata University, 2-2-2 Iida-nishi, Yamagata, 990-9585, Japan.
David T W WongSchool of Dentistry, University of California, 10833 Le Conte Ave, Los Angeles, CA, 90095-1668, USA.
Masahiro SugimotoHealth Promotion and Pre-emptive Medicine, Research and Development Center for Minimally Invasive Therapies, Tokyo Medical University, Shinjuku, Tokyo, 160-8402, Japan. mshrsgmt@tokyo-med.ac.jp.
Frederico Omar Gleber-NettoSchool of Dentistry, University of California, 10833 Le Conte Ave, Los Angeles, CA, 90095-1668, USA.
Feng LiSchool of Dentistry, University of California, 10833 Le Conte Ave, Los Angeles, CA, 90095-1668, USA.
Michael TuSchool of Dentistry, University of California, 10833 Le Conte Ave, Los Angeles, CA, 90095-1668, USA.
Yong ZhangSchool of Dentistry, University of California, 10833 Le Conte Ave, Los Angeles, CA, 90095-1668, USA.
David AkinSchool of Dentistry, University of California, 10833 Le Conte Ave, Los Angeles, CA, 90095-1668, USA.
Mitsuyoshi IinoDepartment of Dentistry, Oral and Maxillofacial Plastic and Reconstructive Surgery, Faculty of Medicine, Yamagata University, 2-2-2 Iida-nishi, Yamagata, 990-9585, Japan.
University of California, Los Angeles · USTokyo Medical University · JPYamagata University · JP

Funding

KAKENHI 16K11742KAKENHI 17K11897
6 · The paper itself

Abstract

objectiveTo identify salivary metabolite biomarkers to differentiate patients with oral squamous cell carcinoma and oral epithelial dysplasia (OSCC/OED) from those with persistent suspicious oral mucosal lesions (PSOML). SUBJECTS AND

methodsWhole unstimulated saliva samples were collected from age-, sex-, and race-matched patients who had a lesion in the oral cavity and for whom open biopsies were performed. The patients included OSCC (n = 6), OED (n = 10), and PSOML (n = 32). Hydrophilic metabolites in saliva samples were comprehensively analyzed using capillary electrophoresis mass spectrometry. To evaluate the discrimination ability of a combination of multiple markers, a multiple logistic regression (MLR) model was developed to differentiate OSCC/OED from PSOML.

resultsSix metabolites were significantly different in OSCC/OED compared with PSOML. From these six metabolites, ornithine, o-hydroxybenzoate, and ribose 5-phosphate (R5P) were used to develop the MLR model, which resulted in a high value for the area under receiver operating characteristic curve (AUC 0.871, 95% confidential interval (CI) 0.760-0.982; p < 0.001) to discriminate OSCC/OED from PSOML.

conclusionsThis is the first study to identify salivary metabolites that discriminate OSCC/OED from PSOML rather than from healthy controls. The profiles of salivary metabolites were significantly different between OSCC/OED and PSOML. The ability to discriminate OSCC/OED from PSOML is important for dentists who are not oral surgery specialists. These salivary metabolites showed potential for non-invasive screening to discriminate OSCC/OED from PSOML. CLINICAL RELEVANCE: Salivary metabolites in this study showed potential for non-invasive screening to discriminate OSCC/OED from PSOML.

Indexed as

Biomarkers, TumorCarcinoma, Squamous CellMouth NeoplasmsFemaleHumansHyperplasiaMaleSalivaBiomarkers, TumorMetabolitesOral epithelial dysplasiaOral squamous cell carcinomaSalivaScreening

Identifiers

PMID30539290
OpenAlexW2904804617

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.