Evidence map›Paper›PMID 40027232›Full record

ReviewThe journal of liquid biopsy2025

The role of molecular biomarkers in the diagnosis, prognosis, and treatment stratification of oral squamous cell carcinoma: A comprehensive review.

Saravanan Ravindran, Srinivasan Ranganathan, Karthikeyan R, Nandini J, Shanmugarathinam A, Senthil Kumar Kannan, Durga Prasad K, Jalaiah Marri, Rajaganapathi K

Abstract readReview
In one paragraph

Review in The journal of liquid biopsy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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.

Saravanan RavindranFaculty of Pharmacy, Bharath Institute of Higher Education and Research, Chennai, 73, India.
Srinivasan RanganathanFaculty of Pharmacy, Bharath Institute of Higher Education and Research, Chennai, 73, India.
Karthikeyan RSchool of Pharmacy, Sri Balaji Vidyapeeth, SBV Campus, Pillayarkuppam, Puducherry, India.
Nandini JSaveetha college of pharmacy, Saveetha institute of medical and technical sciences, Chennai, 602105, India.
Shanmugarathinam ADepartment of Pharmaceutical Technology, University College of Engineering, Bharathidasan Institute of Technology Campus, Anna University, Tiruchirappalli, 620024, India.
Senthil Kumar KannanDepartment of Pharmaceutics Karpagam college of pharmacy, Othakkalmandapam, Coimbatore, 32, India.
Durga Prasad KK.V.S.R. Siddhartha College of Pharmaceutical Sciences, Vijayawada, Andhra Pradesh, 520008, India.
Jalaiah MarriQIS College of Pharmacy, Vengamukkapalem, Ongole, Andhra Pradesh, 523272, India.
Rajaganapathi KFaculty of Pharmacy, Bharath Institute of Higher Education and Research, Chennai, 73, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most common cancers targeting the area of the head and neck is oral squamous cell carcinoma (OSCC), carrying a heavy global health cost. With a high incidence of metastasis and recurrence, the outlook for OSCC remains dismal despite advancements in treatment. This has sparked an investigation into molecular biomarkers, which have the potential to improve early diagnosis, forecast patient outcomes, and direct therapeutic approaches. An extensive summary of the function of molecular biomarkers in OSCC diagnosis, prognosis, and medical care stratification is given in this article. Complex genetic mutations, epigenetic changes, and dysregulated signalling pathways are all part of the aetiology of OSCC.

Indexed as

DiagnosisMolecular biomarkersOral squamous cell carcinoma (OSCC)PrognosisTreatment stratification

Identifiers

PMID40027232
PMCPMC11863969

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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.