MiRNA Profiles in epithelial ovarian cancer patients
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA554652 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9685041.fastq.gz | Fastqsanger.gz | |||
| SRR9685042.fastq.gz | Fastqsanger.gz | |||
| SRR9685043.fastq.gz | Fastqsanger.gz | |||
| SRR9685044.fastq.gz | Fastqsanger.gz | |||
| SRR9685045.fastq.gz | Fastqsanger.gz |
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Project description:The project aims to reveal the differentially expressed microRNAs in patients with ovarian cancer compared with normal controls.
2022-07-14 | GSE134289 | GEO
Project description:The Urine RNA from 5 ovarian cancer and 5 healthy control were analyzed with the Human miRNA Microarray and then validated with a quantitative reverse-transcription PCR assay with 29 individual samples, 20 benign gynecological disease and 26 age/sex-matched healthy control. This study determines the clinical value of urine miRNAs as biomarker for epithelial ovarian cancer. Results: The miRNA microarray results demonstrate that the original 38 were identified that were significantly differentially expression in epithelial ovarian cancer compared with healthy control (P<0.01). A total of 1 miRNA was up-regulated in ovarian cancer, while 37 miRNA were down-regulated.
2015-06-17 | GSE58517 | GEO
Project description:The Urine RNA from 5 ovarian cancer and 5 healthy control were analyzed with the Human miRNA Microarray and then validated with a quantitative reverse-transcription PCR assay with 29 individual samples, 20 benign gynecological disease and 26 age/sex-matched healthy control. This study determines the clinical value of urine miRNAs as biomarker for epithelial ovarian cancer. Results: The miRNA microarray results demonstrate that the original 38 were identified that were significantly differentially expression in epithelial ovarian cancer compared with healthy control (P<0.01). A total of 1 miRNA was up-regulated in ovarian cancer, while 37 miRNA were down-regulated. the urine RNA from 5 ovarian cancer and 5 healthy women were analysised with Human mirRNA microarry
2015-06-17 | E-GEOD-58517 | biostudies-arrayexpress
Project description:Early-stage epithelial ovarian cancer (eEOC) patients have a generally favorable prognosis but heterogeneous behavior at recurrence. Accurate prediction of the risk of relapse is still a major concern, essentially to avoid overtreatment. We have identified a robust miRNA-based signature named MiROvaR able to predict early disease recurrence in case materials of mostly advanced-stage EOC patients. We challenged MiROvaR in the eEOC sub-setting (stage IA-IIB) and it proved to accurately classify eEOC patients according to their risk of relapse.
2022-12-21 | GSE169314 | GEO
Project description:Fallopian tube epithelium is the tissue-of-origin of most high grade serous papillary ovarian carcinoma. This tumor has been exensively investigated and sequenced but expression profiling data of normal fallopian tube epithelial cells is still rare. This project compares the miRNA profiles of high grade serous papillary ovarian tumors (FFPE and fresh frozen) to that of normal unmatched epithelial cells from resected fallopian tubes.
2019-12-31 | GSE131790 | GEO
Project description:miRNA expression profiling in early-stage epithelial ovarian cancer
| PRJNA716257 | ENA
Project description:Ovarian cancer is common among women. Cancer in ovaries can arise from three different tissues, epithelial, germ and stromal cells. Majority of ovarian cancer arise from epithelial tissues. However, cancer in the germ cells or stromal cells are histologically, genetically and clinically heterogeneous, which result in a challenge in terms of treatment. In this study, we generated sRNA libraries of germ cell tumors (7 benign and 2 malignant) as well as 3 stromal tumors. In particular, we analyzed the miRNA profile of these tumors and found that malignant ovarian germ cell tumors (OGCT) are genetically distinct from benign OGCT and sex cord-stromal tumors (SCST). We detected several miRNAs that were deregulated in malignant OGCT compared to benign and SCST and fewer deregulated miRNAs between benign OGCT and SCST. However, we were still able to detect several deregulated miRNAs between benign OGCT and SCST.
2017-09-01 | GSE98536 | GEO
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
Project description:Background: It has been shown that based on gene expression profiles, subgroups within epithelial ovarian cancers (EOC) can be identified. We studied a well characterized series of ovarian carcinomas from patients treated at our institute using gene expression profiling to better define clinically significant subgroups. Methods: Gene expression profiling was performed using RNA of 90 primary fresh frozen EOC samples representing all histological subtypes and stages (FIGO I-IV). Patients underwent either primary or interval debulking surgery and if indicated taxane-based chemotherapy. Pathology was reviewed for all cased and complete follow-up, including treatment response and recurrences was available for all patients. Results: Unsupervised and supervised analysis of gene expression data showed distinct subtypes correlating with histology. Mucinous carcinoma was the most distinct subtype based on gene expression profile. No significant differences in gene expression profile between high and low grade serous carcinomas could be observed. No gene expression signatures associated with survival or treatment response could be identified. Conclusion: Histological subtypes of ovarian adenocarcinomas are characterized by distinct gene expression profiles. In order to find signatures correlated to outcome of treatment it is essential that gene expression profiling studies are performed in histological homogeneous groups.
2023-05-18 | GSE61883 | GEO
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.
2013-05-17 | GSE43867 | GEO