Evidence map›Paper›PMID 41522921›Full record

ArticleJournal of pharmacy & bioallied sciences2025

Evaluation of microRNA Expression Profiles as Diagnostic and Prognostic Biomarkers in Oral Squamous Cell Carcinoma: A Molecular Approach.

Nishath S Abdul, Mahesh Shenoy, Ganiga C Shivakumar, Shubham Patel, Bhuvan Jyoti, Sahana Shivakumar

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Article in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nishath S AbdulDepartment of OMFS and Diagnostic Sciences, Faculty of Oral Pathology, Riyadh Elm University, Riyadh 11681, Kingdom of Saudi Arabia.
Mahesh ShenoyDepartment of OMFS and Diagnostic Sciences, Faculty of Oral Pathology, College of Medicine and Dentistry, Riyadh Elm University, Riyadh, Kingdom of Saudi Arabia.
Ganiga C ShivakumarDepartment of Oral Medicine and Radiology, People's College of Dental Sciences and Research Centre, Peoples University, Bhopal, Madhya Pradesh, India.
Shubham PatelDepartment of Oral Pathology and Microbiology, People's College of Dental Sciences and Research Center, Peoples University, Bhopal, Madhya Pradesh, India.
Bhuvan JyotiDental Surgeon and Consultant- Oral Medicine and Radiology, Department of Dental Surgery, Ranchi Institute of Neuro-Psychiatry and Allied Sciences, Ranchi, Jharkhand, India.
Sahana ShivakumarDepartment of Public Health Dentistry, People's College of Dental Sciences and Research Centre, Peoples University, Bhopal, Madhya Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Oral Squamous Cell Carcinoma (OSCC) is a leading malignancy with limited early diagnostic markers. MicroRNAs (miRNAs) have emerged as promising biomarkers due to their regulatory role in cancer pathogenesis. Objective: To evaluate the expression profiles of miR-21, miR-155, and miR-375 in OSCC and assess their diagnostic and prognostic potential. Materials and Methods: Tissue samples from OSCC patients and healthy controls were analyzed using RT-qPCR for miRNA expression. ROC analysis assessed diagnostic accuracy. Results: miR-21 and miR-155 were significantly upregulated, while miR-375 was downregulated in OSCC tissues. ROC curves showed high diagnostic value: miR-21 (Area under the curve [AUC] = 0.89), miR-155 (AUC = 0.86), and miR-375 (AUC = 0.81). Conclusion: Differential expression of selected miRNAs suggests their potential as reliable biomarkers for early OSCC detection and prognosis. Integrating miRNA profiling may enhance precision diagnostics in oral oncology.

Indexed as

BiomarkersmicroRNAmiR-155miR-21miR-375molecular diagnosticsoral squamous cell carcinomaprognosisROC curve

Identifiers

PMID41522921
PMCPMC12788544

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