Project description:We performed genome-wide DNA methylation profiling of precursor lesions of endometrial endometrioid carcinoma tissues derived from patients in the Cancer Institute Hospital of Japanese Foundation for Cancer Research.
Project description:We performed genome-wide DNA methylation profiling of endometrial endometrioid adenocarcinoma tissues derived from patients in the Cancer Institute Hospital of Japanese Foundation for Cancer Research.
Project description:To determine the expression profiles of microRNAs (miRNAs) and to examine specific miRNA expression in endometrial serous adenocarcinoma in comparison with normal endometrial tissue and endometrial endometrioid adenocarcinoma. Twenty-one serous adenocarcinoma tissues, 20 endometrioid adenocarcinoma tissues, and 7 normal endometrial tissues were enrolled. miRNA expression profiles were examined using miRNA microarray.
Project description:Genome-wide DNA methylation screening was performed using the Infinium MethylationEPIC BeadChip in 49 fresh-frozen tissue samples and 31 formalin-fixed paraffin-embedded tissue samples obtained from surgically resected materials of patients with endometrioid endometrial cancer.
Project description:We examined the mechanism by which adiposity regulates endometrioid endometrial cancer progression. Ishikawa EEC cells were co-cultured with mature adipocytes in presence or absence of SIRT1 inhibitor EX527, and total RNA was isolated for RNA-seq analysis and focus on the functional relevance that adipocyte co-culture affected pathways and related biomarkers may have in endometrial cancer response to adiposity.
Project description: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.
Project description: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.