MicroRNAs in oral squamous cell carcinoma progression

Oral squamous cell carcinoma (OSCC) represents almost 90% of all oral cancers and remains a highly morbidity- and mortality-associated disease because of the late diagnosis and the lack of reliable prognostic factors. MicroRNAs (miRNAs), small non-coding RNAs that regulate gene expression post-transcriptionally, have been recognized as promising diagnostic and prognostic biomarkers because of their stability in tissues and body fluids. This review aims to compile the existing evidence on the most important miRNAs involved in OSCC, including miR-155-5p, miR-1246, miR-24, miR-200, miR-34, miR-21, and miR-31, focusing on their expression levels, molecular targets, and clinical significance. Aberrant miRNAs affect pivotal oncogenic pathways like PI3K/Akt, Wnt/β-catenin, epithelial-mesenchymal transition, p53 pathway, and hypoxia-inducible factor signaling, contributing to the progression of tumors and resistance to treatments. The clinical utility of miRNAs in early diagnosis, prognosis, prediction of treatment response, and monitoring of the disease is also discussed, as well as the existing challenges and future directions. The combination of multi-miRNA signatures with cutting-edge computational tools may provide a new avenue for the implementation of precision oncology in OSCC management.

Authors

Institutions

Publication Details

Journal
Cell Death
Published
2026-04-01
DOI
https://doi.org/10.1016/j.celld.2026.100013
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MicroRNAs in oral squamous cell carcinoma progression

Samsi D. Salaman, Mic Arun Edwin, Gouthami Ammapalli, Gokul S
Cell Death
MicroRNA in disease regulation
article

MicroRNAs in oral squamous cell carcinoma progression

Samsi D. Salaman, Mic Arun Edwin, Gouthami Ammapalli, Gokul S
article en

Abstract

Oral squamous cell carcinoma (OSCC) represents almost 90% of all oral cancers and remains a highly morbidity- and mortality-associated disease because of the late diagnosis and the lack of reliable prognostic factors. MicroRNAs (miRNAs), small non-coding RNAs that regulate gene expression post-transcriptionally, have been recognized as promising diagnostic and prognostic biomarkers because of their stability in tissues and body fluids. This review aims to compile the existing evidence on the most important miRNAs involved in OSCC, including miR-155-5p, miR-1246, miR-24, miR-200, miR-34, miR-21, and miR-31, focusing on their expression levels, molecular targets, and clinical significance. Aberrant miRNAs affect pivotal oncogenic pathways like PI3K/Akt, Wnt/β-catenin, epithelial-mesenchymal transition, p53 pathway, and hypoxia-inducible factor signaling, contributing to the progression of tumors and resistance to treatments. The clinical utility of miRNAs in early diagnosis, prognosis, prediction of treatment response, and monitoring of the disease is also discussed, as well as the existing challenges and future directions. The combination of multi-miRNA signatures with cutting-edge computational tools may provide a new avenue for the implementation of precision oncology in OSCC management.

Cell DeathVol. 2(2)
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (IN), Saveetha University (IN)
Good health and well-being
Openalex Percentile: Top 14%
MicroRNA in disease regulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

MicroRNAs in oral squamous cell carcinoma progression — Samsi D. Salaman, Mic Arun Edwin, et al. · Cell Death (2026) | TGRS Research Map | TGRS