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MicroRNA expression for 86 chemo-treated ovarian cancer patients

ABSTRACT: We profile expression in serous epithelial ovarian carcinomas to assess the possibility of an miRNA signature associated with chemoresistance. Resistance to the available therapies is one of the main causes of low survival of patients with advanced epithelial ovarian cancer, thus representing an emergency in oncology. Here, we profiled miRNA expression in 86 naïve serous epithelial ovarian carcinomas (EOCs) to assess the possibility of miRNAs associated with chemoresistance. We identified 23 miRNAs associated with chemoresistance, of which three (miR-484, miR-642 and miR-217) were confirmed in the validation set (112 independent patients). The study of miR-484 role demonstrated that it regulated the chemoresistance of EOC cells acting not on cancer cells but on tumor vasculature. In particular, miR-484 is produced and secreted by chemosensitive EOC, therefore regulating the production of VEGFB by cancer cells and the expression of VEGFR2 in endothelial cells. Overall, we demonstrated that a three-miR signature can classify the response to chemotherapy and that chemoresistance in EOC relays, at least in part, on the control of tumor angiogenesis, indicating new options in the treatment of these patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE43867 | GEO | 2013/05/17

SECONDARY ACCESSION(S): PRJNA187976

REPOSITORIES: GEO

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microRNA expression for 86 chemo-treated ovarian cancer patients

Project description:We profile expression in serous epithelial ovarian carcinomas to assess the possibility of an miRNA signature associated with chemoresistance. Resistance to the available therapies is one of the main causes of low survival of patients with advanced epithelial ovarian cancer, thus representing an emergency in oncology. Here, we profiled miRNA expression in 86 naïve serous epithelial ovarian carcinomas (EOCs) to assess the possibility of miRNAs associated with chemoresistance. We identified 23 miRNAs associated with chemoresistance, of which three (miR-484, miR-642 and miR-217) were confirmed in the validation set (112 independent patients). The study of miR-484 role demonstrated that it regulated the chemoresistance of EOC cells acting not on cancer cells but on tumor vasculature. In particular, miR-484 is produced and secreted by chemosensitive EOC, therefore regulating the production of VEGFB by cancer cells and the expression of VEGFR2 in endothelial cells. Overall, we demonstrated that a three-miR signature can classify the response to chemotherapy and that chemoresistance in EOC relays, at least in part, on the control of tumor angiogenesis, indicating new options in the treatment of these patients. We analyzed tumor samples (<5% of normal tissue) from FFPE blocks of 86 patients with serous ovarian carcinomas.

2013-05-17 | E-GEOD-43867 | biostudies-arrayexpress

Claudin-7 is frequently overexpressed in ovarian cancer and promotes invasion

Project description:Claudins are tight junction proteins that are involved in tight junction formation and function. Previous studies have shown that claudin-7 is frequently upregulated in epithelial ovarian cancer (EOC) along with claudin-3 and claudin-4. Here, we investigate in detail the expression patterns of claudin-7, as well as its possible functions in EOC. Initially a total of 95 ovarian tissue samples (7 normal ovarian tissues, 65 serous carcinomas, 11 clear cell carcinomas, 8 endometrioid carcinomas and 4 mucinous carcinomas) were studied for claudin-7 expression using RT-PCR analysis. The gene for claudin-7, CLDN7, was found to be significantly upregulated in all the tumor tissue samples studied. Similarly, immunohistochemical analysis and western blotting showed that claudin-7 protein was significantly overexpressed in the vast majority of EOCs. Two cell lines(OVCAR-2 and OVCA420) were chosen for microarray based gene expression analysis using small interfering RNA-mediated(SiRNA) knockdown of claudin-7. This treatment led to significant changes in gene expression that was validated by RT-PCR and immunoblotting.

2012-09-19 | GSE26055 | GEO

Gene expression patterns of chemoresistant and chemosensitive serous epithelial ovarian tumors with possible predictive value in response to initial chemotherapy

Project description:Chemotherapy (CT) resistance in ovarian cancer is broad and encompasses diverse, unrelated drugs, suggesting more than one mechanism of resistance. We aimed to analyze the gene expression patterns in primary serous epithelial ovarian cancer (EOC) samples displaying different responses to first-line CT in an attempt to identify specific molecular signatures associated with response to CT. Initially, the expression profiles of 15 chemoresistant serous EOC tumors [time to recurrence (TTR) ≤6 months] and 10 chemosensitive serous EOC tumors (TTR ≥30 months) were independently analyzed which allowed the identification of specific sets of differentially expressed genes that might be functionally implicated in the evolution of the chemoresistant or the chemosensitive phenotype. Our data suggest that the intrinsic chemoresistance in serous EOC cells may be attributed to the combined action of different molecular mechanisms and factors linked with drug influx and efflux and cell proliferation, as possible implications of other molecular events including altered metabolism, apoptosis and inflammation cannot be excluded. Next, gene expression comparison using hierarchical clustering clearly distinguished chemosensitive and chemo- resistant tumors from the 25 serous EOC samples (training set), and consecutive class prediction analysis was used to develop a 43-gene classifier that was further validated in an independent cohort of 15 serous EOC patients and 2 patients with other ovarian cancer histotypes (test set). The 43-gene predictor set properly classified serous EOC patients at high risk for early (≤22 months) versus late (>22 months) relapse after initial CT. Thus, gene expression array technology can effectively classify serous EOC tumors according to CT response. The proposed 43-gene model needs further validation. 2 condition experiment: chemoresistant clinical samples versus chemosensitive samples

2011-07-23 | E-GEOD-28739 | biostudies-arrayexpress

Gene expression patterns of chemoresistant and chemosensitive serous epithelial ovarian tumors with possible predictive value in response to initial chemotherapy

2011-07-24 | GSE28739 | GEO

A multi-level investigation of the genetic relationship between endometriosis and ovarian cancer histotypes

Project description:Endometriosis is associated with increased risk of epithelial ovarian cancers (EOCs). Using data from large endometriosis and EOC genome-wide association meta-analyses we estimate the genetic correlation and evaluate the causal relationship between genetic liability to endometriosis and EOC histotypes, and identify shared susceptibility loci. We estimate a significant genetic correlation (rg) between endometriosis and clear cell (rg=0.71), endometrioid (rg=0.48) and high-grade serous (rg=0.19) ovarian cancer, associations supported by Mendelian randomization analyses. Bivariate meta-analysis identify 28 loci associated with both endometriosis and EOC, including 19 with evidence for a shared underlying association signal. Differences in the shared risk suggest different underlying pathways may contribute to the relationship between endometriosis and the different histotypes. Functional annotation using transcriptomic and epigenomic profiles of relevant tissues/cells highlights several target genes. This comprehensive analysis reveals profound genetic overlap between endometriosis and EOC histotypes with valuable genomic targets for understanding the biological mechanisms linking the diseases.

2022-03-07 | GSE197928 | GEO

Downregulation of miR-194-5p induces paclitaxel resistance in ovarian cancer cells by altering MDM2 expression.

Project description:Paclitaxel is a first-line drug for treating epithelial ovarian cancer (EOC). However, prognosis for patients with advanced stage cancer remains poor due to primary or acquired drug resistance. Therefore, overcoming chemoresistance is one of the greatest challenges in treating EOC. In this study, we identified microRNAs (miRNA) that regulate paclitaxel resistance and tested their potential utility as therapeutic targets. Paclitaxel-resistant cell lines were established using two EOC cell lines: SKVO3ip1 and HeyA8. miRNA PCR arrays showed that miR-194-5p was downregulated in paclitaxel-resistant cells. Forced expression of miR-194-5p resensitized resistant cells to paclitaxel. Conversely, miR-194-5p inhibition induced paclitaxel resistance in parental cells. In silico analysis and luciferase reporter assay revealed that MDM2 is a direct target of miR-194-5p. MDM2 was upregulated in paclitaxel resistant cells compared with parental cells. MDM2 inhibition also resensitized resistant cells to paclitaxel and forced MDM2 induced paclitaxel resistance in parental cells. miR-194-5p induced p21 upregulation and G1 phase arrest in resistant cells by downregulating MDM2. Furthermore, a public database showed that high MDM2 expression was associated with a shorter progression-free survival in EOC patients treated with paclitaxel. Collectively, our results show that restoring miR-194-5p expression resensitizes EOCs to paclitaxel, and this may be exploited as a therapeutic option.

2019-10-18 | GSE139043 | GEO

Single cell RNA-seq data for mouse fallopian tube and ovary

Project description:Epithelial ovarian cancer (EOC) is the most lethal malignancy of the female reproductive system. In order to improve EOC patient outcomes, it is crucial to have a better understanding of how EOC develops from its cellular origin. EOCs can originate from either fallopian tube epithelial (FTE) cells or ovarian surface epithelial (OSE) cells, but with different courses of development. The basis for this difference is unclear. To address this, we performed single cell RNA-sequencing of mouse cells isolated from the distal portion of fallopian tubes (i.e., oviducts) and surface layer of ovaries. Analysis of this single cell dataset revealed distinct niche organizations for murine FTE cells and OSE cells.

2022-12-27 | GSE194274 | GEO

Suppression of the grainyhead transcription factor 2 gene (GRHL2) inhibits the proliferation, migration, invasion and mediates cell cycle arrest of ovarian cancer cells

Project description:Previously, we have identified cytosolic form of the grainyhead transcription factor 2 gene (GRHL2) as notably hypomethylated in low-malignant potential (LMP) and high-grade (HG) serous epithelial ovarian tumors, compared to normal ovarian tissues. Here we show that GRHL2 is strongly overexpressed in both LMP and HG serous EOC tumors, thus suggesting that epigenetic mechanisms might be implicated in GRHL2 overexpression in serous epithelial ovarian cancer (EOC). Knockdown of the GRHL2 expression in EOC cells led to sharp decrease of cell proliferation and induced G1-phase cell cycle arrest. Additionally, GRHL2 suppression significantly inhibited EOC cell migration and invasion. Gene expression profiling and consecutive network and pathway analyses confirmed these findings, as numerous genes and pathways known previously to be implicated in ovarian tumorigenesis, including EOC tumor invasion and metastasis, were found to be downregulated upon BCAT1 suppression, while some tumor suppressor genes were induced. Taken together, our data are indicative for a strong oncogenic potential of the GRHL2 gene in advanced EOC and identify this transaminase as a novel EOC biomarker and putative EOC therapeutic target.

2017-04-21 | GSE90132 | GEO

BCAT1 expression associates with ovarian cancer progression

Project description:Previously, we have identified cytosolic form of the branched chain amino-acid transaminase 1 (BCAT1) as notably hypomethylated in low-malignant potential (LMP) and high-grade (HG) serous epithelial ovarian tumors, compared to normal ovarian tissues. Here we show that BCAT1 is strongly overexpressed in both LMP and HG serous EOC tumors, thus suggesting that epigenetic mechanisms might be implicated in BCAT1 overexpression in serous epithelial ovarian cancer (EOC). Knockdown of the BCAT1 expression in EOC cells led to sharp decrease of cell proliferation and induced S-phase cell cycle arrest. Additionally, BCAT1 suppression significantly inhibited EOC cell migration and invasion. Gene expression profiling and consecutive network and pathway analyses confirmed these findings, as numerous genes and pathways known previously to be implicated in ovarian tumorigenesis, including EOC tumor invasion and metastasis, were found to be downregulated upon BCAT1 suppression, while some tumor suppressor genes were induced. Taken together, our data are indicative for a strong oncogenic potential of the BCAT1 gene in advanced EOC and identify this transaminase as a novel EOC biomarker and putative EOC therapeutic target.

2015-10-01 | GSE64424 | GEO

Gene Expression Profiling Reveals Novel Candidate Markers of Ovarian Carcinoma Intraperitoneal Metastasis

Project description:Epithelial ovarian cancer (EOC) has the highest mortality among gynecological carcinomas. The lack of specific markers for prognostic determination of EOC progression hinders the search for novel effective therapies. The aim of the present study was (i) to explore differences in expressions of ATP-binding cassette and solute carrier transporter genes, genes associated with drug metabolism and cell cycle regulation between control ovarian tissues, primary epithelial ovarian carcinomas (EOC) and intraperitoneal EOC metastases; (ii) to investigate associations of gene expression level with prognosis of patients with intraperitoneal metastases.

2017-09-01 | GSE102180 | GEO

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