Evidence map›Paper›PMID 40290680›Full record

ReviewWorld journal of clinical oncology2025

Emerging salivary biomarkers for early detection of oral squamous cell carcinoma.

Cheng-Chen Hu, Sheng-Guo Wang, Zhi Gao, Mao-Feng Qing, Shan Pan, Ying-Ying Liu, Fang Li

Abstract readReview
In one paragraph

Review in World journal of clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. From gut to mouth: salivary signatures of carcinogenic microbiota.Frontiers in cellular and infection microbiology · 2026
    Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. 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

7 authors.

Cheng-Chen HuDepartment of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Sheng-Guo WangDepartment of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Zhi GaoDepartment of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Mao-Feng QingDepartment of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Shan PanDepartment of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Ying-Ying LiuDepartment of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Fang LiDepartment of General Surgery, Chongqing General Hospital, Chongqing 401147, China. leef123456@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral cancer, particularly oral squamous cell carcinoma (OSCC), remains a leading cause of cancer-related morbidity and mortality, with delayed diagnosis being a major contributing factor. Although salivary biomarkers have been explored for over three decades, the need for reliable, non-invasive diagnostic methods that enable early detection and continuous monitoring of OSCC remains unmet. This review aims to provide an updated overview of the latest advancements in salivary biomarker research, focusing on emerging biomarkers such as interleukin-6, interleukin-8, microRNAs and DNA methylation patterns, as well as metabolites and microbiota, all of which show significant promise for early OSCC detection. In addition to discussing well-established biomarkers, we explore recent technological developments that increase the sensitivity and specificity of these biomarkers, such as mass spectrometry, multiplex assays, and nanobiosensors. These developments are complemented by the integration of artificial intelligence for data analysis, which enables more accurate, point-of-care diagnostics that could revolutionize oral cancer screening. This review not only consolidates current knowledge but also addresses the challenges that hinder the widespread clinical adoption of salivary diagnostics, such as saliva variability and assay standardization. By overcoming these barriers, salivary biomarker-based diagnostics have the potential to transform OSCC detection, offering a non-invasive, cost-effective solution that can improve early diagnosis and patient outcomes.

Indexed as

Non-invasive diagnosisOral squamous cell carcinomaPrecision medicineSaliva diagnosticsSalivary biomarkers

Identifiers

PMID40290680
PMCPMC12019256

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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.