Adipocyte induced distinct gene expression profiling of human endometrioid endometrial cancer cells upon SIRT1 inhibition.
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE272263 | GEO | 2024/08/05
REPOSITORIES: GEO
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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
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.
2018-11-01 | GSE25405 | GEO
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
Project description:Most endometrial cancers are driven by excess estrogen signaling and express the hormone receptor estrogen receptor alpha (ER). Evaluation of the estrogen response in endometrial cancer cells has been limited by the availability of hormonally responsive in vitro models, with one cell line, Ishikawa, being used in most studies. Here, we describe a novel, adherent endometrioid endometrial cancer (EEC) cell line model, HCI-EC-23. We show that HCI-EC-23 retains ER expression and that ER functionally responds to 17b-estradiol (E2) induction over a range of passages. We also demonstrate that this cell line retains paradoxical activation of ER by tamoxifen, which is also observed in Ishikawa and is consistent with clinical data. The mutational landscape shows that HCI-EC-23 is mutated at many of the commonly altered genes in EEC, has relatively few copy-number alterations, and is microsatellite instable high (MSI-high). In vitro proliferation of HCI-EC-23 is modestly enhanced by E2 but is strongly reduced upon combination E2 and progesterone (P4) treatment. HCI-EC-23 exhibit strong E2 dependence for tumor growth in vivo and tumor size is reduced by combination E2 + P4 treatment. Molecular characterization of E2 induction in HCI-EC-23 revealed hundreds of estrogen-responsive genes that significantly overlapped with those regulated in Ishikawa. Analysis of ER genome binding identified similar patterns in HCI-EC-23 and Ishikawa, although ER exhibited more bound sites in Ishikawa. This study demonstrates that HCI-EC-23 is estrogen-responsive and can be used to study the hormonal aspects of endometrial cancer.
2022-08-02 | GSE210123 | GEO
Project description:Most endometrial cancers are driven by excess estrogen signaling and express the hormone receptor estrogen receptor alpha (ER). Evaluation of the estrogen response in endometrial cancer cells has been limited by the availability of hormonally responsive in vitro models, with one cell line, Ishikawa, being used in most studies. Here, we describe a novel, adherent endometrioid endometrial cancer (EEC) cell line model, HCI-EC-23. We show that HCI-EC-23 retains ER expression and that ER functionally responds to 17b-estradiol (E2) induction over a range of passages. We also demonstrate that this cell line retains paradoxical activation of ER by tamoxifen, which is also observed in Ishikawa and is consistent with clinical data. The mutational landscape shows that HCI-EC-23 is mutated at many of the commonly altered genes in EEC, has relatively few copy-number alterations, and is microsatellite instable high (MSI-high). In vitro proliferation of HCI-EC-23 is modestly enhanced by E2 but is strongly reduced upon combination E2 and progesterone (P4) treatment. HCI-EC-23 exhibit strong E2 dependence for tumor growth in vivo and tumor size is reduced by combination E2 + P4 treatment. Molecular characterization of E2 induction in HCI-EC-23 revealed hundreds of estrogen-responsive genes that significantly overlapped with those regulated in Ishikawa. Analysis of ER genome binding identified similar patterns in HCI-EC-23 and Ishikawa, although ER exhibited more bound sites in Ishikawa. This study demonstrates that HCI-EC-23 is estrogen-responsive and can be used to study the hormonal aspects of endometrial cancer.
2022-08-02 | GSE210122 | GEO
Project description:Inhibition of LIFR blocks adiposity driven endometrioid endometrial cancer growth
| PRJNA887435 | ENA
Project description:We examined the mechanisms by which adiposity regulates EEC progression. EEC cells were incubated with or without adipocyte conditioned medium (ADP-CM), and total RNA was isolated for RNA-seq analysis. Our results demonstrated that ADP-CM stimulated EEC cells showed upregulation of several LIF/LIFR modulated pathways including Jak/STAT and cytokine pathways.
2022-11-16 | GSE214872 | GEO
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.
2012-06-01 | GSE35794 | GEO
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.
2019-09-13 | GSE136791 | GEO
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