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Identification of prognostic biomarkers for endometrioid endometrial carcinoma based on the miRNA and mRNA co‐expression network regulated by estradiol [RNA]

ABSTRACT: Identification of prognostic biomarkers for endometrioid endometrial carcinoma based on the miRNA and mRNA co‐expression network regulated by estradiol [RNA]

PROVIDER: PRJNA1148414 | ENA |

REPOSITORIES: ENA

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Identification of prognostic biomarkers for endometrioid endometrial carcinoma based on the miRNA and mRNA co‐expression network regulated by estradiol [miRNA]

Project description:Endometrioid endometrial carcinoma (EEC), an estradiol-related disease, remains a serious health threat to women because of its high incidence and trend of rejuvenation. Accumulating evidence has highlighted that microRNAs (miRNAs) and messenger RNAs (mRNAs) play important roles in various biological processes involved in the pathogenesis of EEC. This study aimed to identify the potential prognostic biomarkers associated with EEC regulated by estradiol.

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A Proteogenomic View of Synchronous Endometrioid Endometrial and Ovarian Cancer

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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.

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microRNA expression profile in endometrioid endometrial carcinoma (EEC)

Project description:The aim of the presented study was to define tissue and plasma miRNA signatures, which could potentially serve as diagnostic and prognostic markers in endometrioid endometrial cancer (EEC), and to investigate miRNA profiles in regard to clinicopathological characteristics of the tumors. Results: qPCR validation revealed regulation of 14 miRNAs in EEC tissues (miR-9, miR-141,miR-205,miR-203,miR-183,miR-200a*,miR-200b*,miR-200a,miR-200c,miR-429,miR-200b,miR-410,miR-92a,miR-1305) and 9 in plasma samples (miR-449a,miR-1290,miR-1228,miR-203,miR-200a,miR-141,miR-92a, miR-9, miR-301b). Expression of certain miRNAs showed association with FIGO stage, grade and relapse. Two miRNA signatures, miR-205/miR-410 and miR-410/miR-429/miR-92a, classified tumor tissues with higher accuracy in comparison to single miRNAs (AUC 0.972, 95% CI 0.919-0.995 and 0.991, 95% CI 0.948-1.000, resepctively). miRNA signature composed of miR-205 and miR-200a predicted relapse with AUC of 0.854 (95% CI 0.691-0.951). Tissue miRNA signatures were independent prognostic markers of overall (miR-1228/miR-200c/miR-429, HR 2.98) and progression-free survival (miR-1228/miR-429, HR 4.149). Plasma miRNA signatures classified EEC plasma samples with high accuracy. Conclusions: We conclude that miRNA signatures hold great promise for becoming non-invasive biomarkers for early EEC detection and prognosis.

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microRNA expression profile in endometrioid endometrial carcinoma (EEC)

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