The digital expression profile of BMP7, CDKN2C, HIST1H3G, and PKMYT1 genes improves high‐grade cervical lesion detection in liquid‐based cytology

Abstract

Background: Some studies reported that differential gene expression could be used as a biomarker for high-grade cervical lesion identification. The aim was to evaluate the gene expression profile of cervical intraepithelial neoplasia (CIN) to identify a gene expression signature of CIN2+ in liquid-based cytology (LBC) samples.Methods: LBC samples (n = 85) obtained from women who underwent colposcopy were included with benign (n = 13), CIN1 (n = 26), CIN2 (n = 16), and CIN3 (n = 30) diagnoses. After RNA isolation, gene expression profiling was performed using the nCounter PanCancer Pathways, which consists of 730 cancer-related genes. The genes identified were in silico expression evaluated using the UALCAN database. An accurate prediction model to discriminate CIN2+ from <CIN2 lesions wasThe first three authors have contributed equally to this study.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.