Identification of a serum-based microRNA signature that detects recurrent oral squamous cell carcinoma before it is clinically evident.

ABSTRACT:

Background

Survival rates for oral squamous cell carcinoma (OSCC) have remained poor for decades, a fact largely attributable to late-stage diagnoses and high recurrence rates. We report analysis of serum miRNA expression in samples from patients with high-risk oral lesions (HRL, including OSCC/carcinoma in situ lesions) and healthy non-cancer controls, with the aim of non-invasively detecting primary or recurrent disease before it is clinically evident.

Methods

Discovery, test, and validation sets were defined from a total of 468 serum samples (305 HRL and 163 control samples). Samples were analysed using multiple qRT-PCR platforms.

Results

A two-miRNA classifier comprised of miR-125b-5p and miR-342-3p was defined following discovery and test analyses. Analysis in an

SUBMITTER: Towle R 

PROVIDER: S-EPMC10667517 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature