Development of an algorithm for oral squamous cell carcinoma risk assessment using micro-RNA markers

Abstract

PurposeThe aim was to develop an algorithm for assessment of oral squamous cell carcinoma (OSCC) risk using microRNA (miR) abundance data.Material and methodsQuantitative reverse transcription PCR (qRT–PCR) was conducted on RNA isolated from 20 each of formalin fixed and paraffin embedded (FFPE) biopsy samples that were histologically assessed as OSCC or histologically normal epithelium (HNE), as well as additonal oral tissue samples. A panel of 11 miR considered as potential biomarkers of OSCC were assessed with obtained Cq values normalized and statistically analyzed using qBase PLUS (Biogazelle) software.ResultsSeven miR showed statistically significant abundance differences between the 2..