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Transcriptomic analysis of stage I endometrioid endometrial carcinoma (EEC)

ABSTRACT: Transcriptomic analysis of stage I endometrioid endometrial carcinoma (EEC)

PROVIDER: PRJNA938100 | ENA |

REPOSITORIES: ENA

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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. Tissue samples were collected from 122 women (77 EEC and 45 controls). Expression profiling of 866 human miRNAs and 89 human viral miRNAs was performed in 24 samples and was followed by qPCR validation in 104 patients. Of 24 samples analyzed by microarrays, 22 (18 EEC, 4 normal controls) were available for final analysis. Expression of 14 miRNAs was analysed in 48 plasma samples by qPCR.

2012-05-31 | E-GEOD-35794 | biostudies-arrayexpress

microRNA expression profile in endometrioid endometrial carcinoma (EEC)

2012-06-01 | GSE35794 | GEO

Transcriptomic analysis of stage I endometrioid endometrial carcinoma (EEC)

Project description:Transcriptome analysis aiming to identify differentially expressed genes from stage I EEC, comparing relapsed with non-relapsed tumors

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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]

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Somatic Mutational Analysis by Exome Sequencing Late-Stage Endometrioid Endometrial Carcinoma

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Epigenome analysis of precursor lesions of endometrial endometrioid carcinoma.

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Multidimensional Molecular Characteristics of Early-Onset Endometrioid Endometrial Carcinoma, And Potential Predictors Of Response To Fertility Sparing Therapy

Project description:Endometrial carcinoma (EC) remains a public health concern with a growing incidence particularly in younger women. Women with early-onset endometrioid EC (EEEC) who wish to maintain fertility are a worldwide concern. To illuminate the molecular characteristics of EEEC, we undertook a large-scale multi-omics study of 215 EECs encompassing 81 EEEC who were 40 or younger. In contrast to late-onset EEC, integrated analysis unexpectedly revealed an exposome-related mutational signature to be associated with EEEC leading to EEEC-specific CTNNB1 and SIGLEC10 hotspot mutations and downstream protein pathway disturbance. Interestingly, in EEECs SIGLEC10Q144K mutation resulted in aberrant Siglec-10 protein expression and promoted progestin resistance by interacting with ERα. Collectively, our study provides a unique high-quality proteogenomic resource of EEECs while enabling insights into interactions between exposome and genomic susceptibilities for primary prevention and early detection of EEECs. Furthermore, we identified biomarkers for progestin response in EEEC fertility-sparing treatment.

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Adipocyte induced distinct gene expression profiling of human endometrioid endometrial cancer cells upon SIRT1 inhibition.

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.

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Somatic Mutational Analysis by Exome Sequencing Late-Stage Endometrioid Endometrial Carcinoma

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Epigenome analysis of precursor lesions of endometrial endometrioid carcinoma.

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