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

• Published in: Cancer cytopathology 2023-07, Vol.131 (7), p.454-464
• Main Authors: Causin, Rhafaela Lima, Sussuchi da Silva, Luciane, Leal, Leticia Ferro, Possati‐Resende, Júlio César, Evangelista, Adriane Feijó, Matsushita, Graziela Macedo, Scapulatempo‐Neto, Cristovam, Tavares Guerreiro Fregnani, José Humberto, Antônio de Oliveira, Marco, Musselwhite, Laura W., Chiquitelli Marques, Márcia Maria, Reis, Rui Manuel
• Format: Article
• Language: English
• Subjects: biomarkers; Bone Morphogenetic Protein 7; Cellular biology; Cervical cancer; cervical intraepithelial neoplasia; Cervix Uteri - pathology; Colposcopy; Cytodiagnosis; Female; Gene expression; Humans; liquid‐based cytology; Membrane Proteins; Menarche; Papillomaviridae - genetics; Papillomavirus Infections - diagnosis; Pregnancy; Protein Serine-Threonine Kinases; Protein-Tyrosine Kinases; Uterine Cervical Dysplasia - diagnosis; Uterine Cervical Neoplasms - diagnosis; Uterine Cervical Neoplasms - genetics; Uterine Cervical Neoplasms - metabolism
• ISSN: 1934-662X; 1934-6638; 1934-6638
• DOI: 10.1002/cncy.22704

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