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Gene expression in the different stages of endometrial cancer

ABSTRACT: Objectives: The aim of this study was to identify the dysregulated genes involved in tumorigenesis, invasion, and metastasis of endometrial endometrioid adenocarcinoma (EEC). Materials and methods: Surgical specimens of endometrial tissues were obtained from 20 patients with normal endometrium (NEM), 20 patients with atypical endometrial hyperplasia (AEH), and 169 patients with EEC. The expression profiles of NEM, AEH, and EEC were compared by using GeneChip Array. The expression of dysregulated genes was first validated by semi-quantitative reverse transcriptase PCR (SQ RT-PCR). The gene expression levels were determined by real time reverse transcriptase PCR (RTQ RT-PCR) in 85 EEC patients as the training test and 84 EEC patients as the testing test. The protein expressions were then examined by immunohistochemical (IHC) staining. The correlations between the expression of dysregualted genes and clinico-pathologic parameters such as tumorigenesis, invasion, and metastasis of EEC were finally evaluated. Results: Seven dysregulated genes were identified by SQ RT-PCR after microarray analysis. Conclusions: uPA is a dysregulated gene in the tumorigenesis of endometrial carcinomas.

ORGANISM(S): Homo sapiens

PROVIDER: GSE39099 | GEO | 2016/01/18

SECONDARY ACCESSION(S): PRJNA187525

REPOSITORIES: GEO

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Gene expression in the different stages of endometrial cancer

Project description:Objectives: The aim of this study was to identify the dysregulated genes involved in tumorigenesis, invasion, and metastasis of endometrial endometrioid adenocarcinoma (EEC). Materials and methods: Surgical specimens of endometrial tissues were obtained from 20 patients with normal endometrium (NEM), 20 patients with atypical endometrial hyperplasia (AEH), and 169 patients with EEC. The expression profiles of NEM, AEH, and EEC were compared by using GeneChip Array. The expression of dysregulated genes was first validated by semi-quantitative reverse transcriptase PCR (SQ RT-PCR). The gene expression levels were determined by real time reverse transcriptase PCR (RTQ RT-PCR) in 85 EEC patients as the training test and 84 EEC patients as the testing test. The protein expressions were then examined by immunohistochemical (IHC) staining. The correlations between the expression of dysregualted genes and clinico-pathologic parameters such as tumorigenesis, invasion, and metastasis of EEC were finally evaluated. Results: Seven dysregulated genes were identified by SQ RT-PCR after microarray analysis. Conclusions: uPA is a dysregulated gene in the tumorigenesis of endometrial carcinomas. The gene expression between tissues from NEM, AEH, and EEC were analyzed by microarray. The samples were grouped according to clinical stages but selected at random from our list of banked, frozen tissues. Ten NEM, 10 AEH, and 20 EEC of early and advanced stages were used for microarray experiments (Group 1: early-staged (stages I and II) EEC (n=10), Group 2: advanced-staged EEC (stages III and IV) (n=10)). Samples were pooled in equimolar amounts (10 samples / pool) for microarray analysis.

2016-01-18 | E-GEOD-39099 | biostudies-arrayexpress

Improving Risk Assessment for Metastatic Disease in Endometrioid Endometrial Cancer Patients Using Molecular and Clinical Features: an NRG Oncology / Gynecologic Oncology Group Study

Project description:Accurate methods to predict nodal and distant metastasis are needed in endometrioid endometrial cancer (EEC) patients to advance personalized care and reduce both overtreatment and undertreatment. A transcript-based classifier for predicting risk of nodal and distant metastasis in EEC patients was developed, and shown to outperform a panel of clinical and molecular features We used microarrays to detail the gene expression in EEC patients and identified a classifer to predict nodal and distant metastasis

2022-12-30 | GSE120490 | GEO

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 [ATAC-seq]

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.

2022-08-10 | GSE201927 | GEO

2022-08-10 | GSE201926 | GEO

Comparison of enteroendocrine cells and pancreatic β-cells using gene expression profiling and insulin gene methylation

Project description:In this study, similarities between EECs and β-cells were evaluated in detail. To obtain specific subtypes of EECs, cell sorting by flow cytometry was conducted from STC-1 cells (a heterogenous EEC line), and each single cell was cultured and passaged. Five EEC subtypes were established according to hormone expression, measured by quantitative RT-PCR and immunostaining: L, K, I, G and S cells expressing glucagon-like peptide-1, glucose-dependent insulinotropic polypeptide, cholecystokinin, gastrin and secretin, respectively. Global microarray gene expression profiles revealed a higher similarity between each EEC subtype and MIN6 cells (a β-cell line) than between C2C12 cells (a myoblast cell line) and MIN6 cells, and all EEC subtypes were highly similar to each other. Genes for insulin secretion-related proteins were mostly enriched in EECs.

2018-09-11 | GSE119747 | GEO

Homo sapiens

Project description:microRNA expression profile in endometrioid endometrial carcinoma (EEC)

| PRJNA152189 | ENA

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

ROLE OF HMGA2 IN THE EPITHELIAL TO MESENCHYMAL TRANSITION ASSOCIATED WITH ENDOMETRIAL CARCINOGENESIS

Project description:The molecular events that mediate the epithelial to mesenchymal transition (EMT) in endometrial cancer remain poorly understood. Using cDNA microarrays, we analyzed a group of endometrial carcinosarcomas (ECS), a true example of EMT in vivo, and we compared their gene expression profiles with those obtained from a group of endometrioid endometrial carcinomas (EEC). The HMGA2 gene (High Mobility Group AT-hook 2), an embryonic nuclear factor that mediates EMT in various tumour models, was among the genes overexpressed in ECS, and HMGA2 overexpression was confirmed in 54% of ECSs by qRT-PCR and immunohistochemistry. Moreover, we found a significant inverse correlation between the expression of HMGA2 and let-7b, a member of the let-7 family of miRNAs that represses HMGA2 expression. These changes were also associated with overexpression of Lin28B, a suppressor of microRNA biogenesis implicated in cancer progression and metastasis. Finally, HMGA2 overexpression, which was detected in less than 3% of EECs, was observed in many non-endometrioid carcinomas (46%). For the first time, we describe a role for HMGA2 in both the process of EMT that contributes to endometrial carcinogenesis and in the acquisition of aggressive phenotypes by this neoplasia. Moreover, we demonstrate changes in the expression of genes modulating processes such as EMT, muscle differentiation, the expression of cancer testis antigens (CTAs) and the immune response. Identification of new molecular markers in endometrial carcinogenesis 15 endometrial carcinosarcomas and 23 endometrioid endometrial carcinoma

2012-11-01 | E-GEOD-33723 | biostudies-arrayexpress

Homo sapiens

Project description:Serum miRNA profiling by quantitative RT PCR [RT-PCR Array 2]

| PRJNA253723 | ENA

Homo sapiens

Project description:Serum miRNA profiling by quantitative RT PCR [RT-PCR Array 1]

| PRJNA253724 | ENA