Evidence map›Paper›PMID 42063465›Full record

ReviewMilitary Medical Research2026

Salivary biomarkers in oral cancer diagnosis: advancing conventional treatment strategies.

Ankit Paul, Tarun Kumar Upadhyay, Adil Ali, Hemant Singh, Mohd Saeed, Farrukh Aqil

Abstract readReview
In one paragraph

Review in Military Medical Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Ankit PaulDepartment of Biotechnology, Parul Institute of Applied Sciences and Research and Development Cell, Parul University, Vadodara 391760, Gujarat, India.
Tarun Kumar UpadhyayDepartment of Biotechnology, Parul Institute of Applied Sciences and Research and Development Cell, Parul University, Vadodara 391760, Gujarat, India.
Adil AliDepartment of Biotechnology, Parul Institute of Applied Sciences and Research and Development Cell, Parul University, Vadodara 391760, Gujarat, India.
Hemant SinghBiological Sciences, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates.
Mohd SaeedDepartment of Biology, College of Science, University of Hail, PO BOX 2240, Hail, Saudi Arabia.
Farrukh AqilDepartment of Medicine, Brown Cancer Center, University of Louisville, Louisville, KY, 40202, USA.

Funding

The role of ECM-mediated mechanosignaling on regional immunosuppression in GBMP20GM135004 · NIGMS · UNIVERSITY OF LOUISVILLE · PI JUN YAN · 2020 to 2026
$21.1M
NIGMS NIH HHS P20 GM135004
6 · The paper itself

Abstract

Oral squamous cell carcinoma (OSCC) is a major global health challenge, with most cases being diagnosed at advanced stages. Traditional diagnostic methods are often invasive and costly, and can delay diagnosis. Saliva has emerged as a promising non-invasive source of biomarkers for OSCC detection. This highlights the need for accessible, non-invasive, and sensitive biomarkers for OSCC detection. This review critically evaluates the current status and future potential of salivary biomarkers in OSCC, with an emphasis on their diagnostic efficacy, sensitivity, specificity, clinical validation, and advantages over traditional serum- and plasma-based markers. Saliva is a promising liquid for biopsy due to its non-invasive collection and molecular richness. We summarize evidence on diverse salivary biomarkers, including microRNAs (miRNAs), proteins, metabolites, circulating tumor cells (CTCs), and circulating tumor DNA (ctDNA), highlighting their dysregulation in OSCC and diagnostic utility. Particular emphasis is placed on CTCs, ctDNA, and miRNAs, which demonstrate stability in saliva and potential for early detection. We further discuss advances in next-generation sequencing, mass spectrometry, and artificial intelligence/machine learning that enable the development of biomarker panels with improved diagnostic accuracy over single markers. Despite challenges such as sample heterogeneity and the lack of standardized protocols, salivary biomarkers hold strong potential to transform OSCC care by enabling earlier detection, guiding personalized therapies, and supporting non-invasive disease monitoring. However, achieving methodological standardization, validating biomarkers across diverse cohorts, and integrating them into clinical workflows are imperative before their routine application in practice.

Indexed as

BiomarkersBiomarkers, TumorMouth NeoplasmsSalivaCarcinoma, Squamous CellHumansLiquid BiopsyMicroRNAsNeoplastic Cells, CirculatingBiomarkersBiomarkers, TumorMicroRNAsEarly detectionLiquid biopsyOral cancerOral squamous cell carcinoma (OSCC)Salivary biomarker

Identifiers

PMID42063465
PMCPMC13127156

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.