Integrative transcriptomic and competing endogenous RNA network analysis reveal two circular RNAs associated with cervical precancerous lesion progression

These data encompass circular RNA (circRNA) annotation, the identification of differentially expressed circRNAs (DEcircRNAs), and circRNA–miRNA interaction analyses derived from three publicly available RNA-sequencing datasets comprising normal cervical (NC) tissues, high-grade squamous intraepithelial lesions (HSIL), and cervical cancer (CC) samples. Publicly available RNA sequencing datasets, including GSE206224, GSE173112, GSE147009, and GSE63514, were retrieved from the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/).