GSE201926
Identification of Potential Models for Predicting Progestin Insensitivity in Patients with Endometrial Atypical Hyperplasia and Endometrial Cancer Based on Integration of ATAC-Seq and RNA-Seq Analysis [RNA-seq]
To establish predictive models based on molecular profiles of endometrial lesions that might help to identify progestin insensitive endometrial atypical hyperplasia (EAH) or endometrioid endometrial cancer (EEC) patients before progestin-based fertility preserving treatment. Endometrial lesions from progestin sensitive or progestin insensitive patients were prospectively collected before progestin treatment and analyzed by ATAC-Seq and RNA-Seq. Potential chromatin accessibility and expression profile were compared between PS and PIS groups. Candidate genes were identified by bioinformatic analysis and literature review. Expanded samples (n = 35) were used for verification and model construction. Overall design: Endometrial lesions from progestin sensitive (PS, n = 6) or progestin insensitive (PIS, n = 6) endometrial atypical hyperplasia (EAH) or endometrioid endometrial cancer (EEC) patients were prospectively collected before progestin treatment and analyzed by ATAC-Seq and RNA-Seq on BGIseq500 platform (BGI-Shenzhen, China). Potential chromatin accessibility and expression profile were compared between PS and PIS groups. Candidate genes were identified by bioinformatic analysis and literature review. Expanded samples (n = 35) were used for verification and model construction.