Transcriptome analysis of ovarian and uterine clear cell malignancies
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA674021 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12970041_1.fastq.gz | Fastqsanger.gz | |||
| SRR12970041_2.fastq.gz | Fastqsanger.gz | |||
| SRR12970042_1.fastq.gz | Fastqsanger.gz | |||
| SRR12970042_2.fastq.gz | Fastqsanger.gz | |||
| SRR12970043_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 32 |
Similar Datasets
Project description:We performed RNA Sequencing on eleven ovarian clear cell carcinoma and five uterine clear cell carcinoma patients to identify the unique transcriptional expression profiles of clear cell uterine and ovarian cancer, and investigates correlations with demographic factors and tumor characteristics, such as stage and PD-L1 immunohistochemical expression.
2020-12-22 | GSE160692 | GEO
Project description:PurposeOvarian and uterine clear cell carcinomas (CCCs) are rare but associated with poor prognosis. This study explored RNA transcription patterns characteristic of these tumors.Experimental designRNA sequencing (RNA-seq) of 11 ovarian CCCs and five uterine CCCs was performed and compared to publicly available data from high grade serous ovarian cancers (HGSOCs). Ingenuity Pathway Analyses were performed. CIBERSORT analyses estimated relative fractions of 22 immune cell types in each RNA-seq sample. Sequencing data was correlated with PD-L1 immunohistochemical expression.ResultsRNA-seq revealed 1,613 downregulated and 1,212 upregulated genes (corrected p < 0.05, |FC |?10) in ovarian CCC versus HGSOC. Two subgroups were identified in the ovarian CCC, characterized by ethnicity and expression differences in ARID1A. There were 3,252 differentially expressed genes between PD-L1+/- ovarian CCCs, revealing immune response, cell death, and DNA repair networks, negatively correlated with PD-L1 expression, whereas cellular proliferation networks positively correlated with expression. In clear cell ovarian versus clear cell uterine cancer, 1,607 genes were significantly upregulated, and 109 genes were significantly downregulated (corrected p < 0.05, |FC|?10). Comparative pathway analysis of late and early stage ovarian CCCs revealed unique metabolic and PTEN pathways, whereas uterine CCCs had unique Wnt/Ca+, estrogen receptor, and CCR5 signaling. CIBERSORT analysis revealed that activated mast cells and regulatory T cell populations were relatively enriched in uterine CCCs. The PD-L1+ ovarian CCCs had enriched resting NK cells and memory B cell populations, while PD-L1- had enriched CD8 T-cells, monocytes, eosinophils, and activated dendritic cells.ConclusionsUnique transcriptional expression profiles distinguish clear cell uterine and ovarian cancers from each other and from other more common histologic subtypes. These insights may aid in devising novel therapeutics.
| S-EPMC7784081 | biostudies-literature
Project description:Clear cell ovarian carcinoma (CCOC) is the second most common subtype of epithelial ovarian carcinoma. Late stage CCOC is not responsive to gold-standard chemotherapy and result in suboptimal outcome for patients. In-depth molecular insight is urgently needed to stratify the disease and drive therapeutic development. We conducted global proteomics in 192 cases of CCOC comparing to other epithelial ovarian carcinoma subtypes.
2022-09-02 | PXD032355 | Pride
Project description:Cbx7 knockdown resulted in increase of genes related with apoptosis and inflammation. Expression microarray was performed using RNA extracted from 2 ovarian clear cell adenocarcinoma cell lines, namely, KOC-7C and TOV21G, either trancduced by Cbx7 siRNA or control.
2013-11-01 | E-GEOD-47146 | biostudies-arrayexpress
Project description:To identify the gene signature accounting for the distinct clinical outcomes in ovarian clear cell cancer patients Clear cell ovarian cancer is an epithelial ovarian cancer histotype that is less responsive to chemotherapy and carries poorer prognosis than serous and endometrioid histotypes. Despite this, patients with these tumors are treated in a similar fashion as all other ovarian cancers. Previous genomic analysis has suggested that clear cell cancers represent a unique tumor subtype. Here we generated the first whole genomic expression profiling using epithelial component of clear cell ovarian cancers and normal ovarian surface specimens isolated by laser capture microdissection. Arrays analyzed using BRB ArrayTools and PathwayStudio software was used to identify the signaling pathways. Gene expression profiling was completed for 10 clear cell ovarian cancer specimens and 10 normal ovarian surface epithelium using the Affymetrix human U133 Plus 2.0 Arrays
2011-05-24 | E-GEOD-29450 | biostudies-arrayexpress
Project description:To identify the gene signature accounting for the distinct clinical outcomes in ovarian clear cell cancer patients Clear cell ovarian cancer is an epithelial ovarian cancer histotype that is less responsive to chemotherapy and carries poorer prognosis than serous and endometrioid histotypes. Despite this, patients with these tumors are treated in a similar fashion as all other ovarian cancers. Previous genomic analysis has suggested that clear cell cancers represent a unique tumor subtype. Here we generated the first whole genomic expression profiling using epithelial component of clear cell ovarian cancers and normal ovarian surface specimens isolated by laser capture microdissection. Arrays analyzed using BRB ArrayTools and PathwayStudio software was used to identify the signaling pathways.
2011-05-24 | GSE29450 | GEO
Project description:<p>The ovaries and uterus are crucial reproductive organs in mammals, and their coordinated development ensures the normal development of sexual maturity and reproductive capacity. This study aimed to comprehensively capture the different physiological stages of the goat's sexual maturation by selecting four specific time points. We collected samples of ovarian and uterine tissues from five female Jining Gray goats at each time point: after birth (D1), 2-month-old (M2), 4-month-old (M4) and 6-month-old (M6). By combining transcriptomic sequencing of 40 samples (including rRNA-depleted RNA-seq libraries with 3607.8 million reads and miRNA-seq libraries with 444.0 million reads) and metabolomics analysis, we investigated the transcriptomic mechanisms involved in reproductive regulation in the ovary and uterus during sexual maturation, as well as the changes in metabolites and their functional potential. Additionally, we analyzed blood hormone indices and uterine tissue sections to examine temporal changes. These datasets will provide a valuable reference for the reproductive regulation of the ovary and uterus, as well as the regulation of metabolites during sexual maturation in goats.</p><p><br></p><p><strong>Uterine data</strong> is reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS9795' rel='noopener noreferrer' target='_blank'><strong>MTBLS9795</strong></a>.</p><p><strong>Ovarian data</strong> is reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS9794' rel='noopener noreferrer' target='_blank'><strong>MTBLS9794</strong></a>.</p>
2024-05-30 | MTBLS9795 | MetaboLights
Project description:<p>The ovaries and uterus are crucial reproductive organs in mammals, and their coordinated development ensures the normal development of sexual maturity and reproductive capacity. This study aimed to comprehensively capture the different physiological stages of the goat's sexual maturation by selecting four specific time points. We collected samples of ovarian and uterine tissues from five female Jining Gray goats at each time point: after birth (D1), 2-month-old (M2), 4-month-old (M4) and 6-month-old (M6). By combining transcriptomic sequencing of 40 samples (including rRNA-depleted RNA-seq libraries with 3607.8 million reads and miRNA-seq libraries with 444.0 million reads) and metabolomics analysis, we investigated the transcriptomic mechanisms involved in reproductive regulation in the ovary and uterus during sexual maturation, as well as the changes in metabolites and their functional potential. Additionally, we analyzed blood hormone indices and uterine tissue sections to examine temporal changes. These datasets will provide a valuable reference for the reproductive regulation of the ovary and uterus, as well as the regulation of metabolites during sexual maturation in goats.</p><p><br></p><p><strong>Ovarian data</strong> is reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS9794' rel='noopener noreferrer' target='_blank'><strong>MTBLS9794</strong></a>.</p><p><strong>Uterine data</strong> is reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS9795' rel='noopener noreferrer' target='_blank'><strong>MTBLS9795</strong></a>.</p>
2024-05-30 | MTBLS9794 | MetaboLights
Project description:ARID1A, which encodes a component of the SWI/SNF chromatin-remodeling complex, is commonly mutated in ovarian clear cell carcinoma and many other cancer types. We used label-free LC-MS/MS to identify ARID1A-dependent proteome changes in ovarian clear cell carcinoma cell lines. In our first analysis, we compared ARID1A-wildtype ovarian clear cell carcinoma cell line OVCA429 with or without ARID1A CRISPR knockout. In a complementary analysis, we compared ARID1A-mutated ovarian clear cell carcinoma cell line OVISE with or without ARID1A overexpression using a tet-inducible promoter.
2016-07-13 | MSV000079904 | MassIVE
Project description:Immune subtype of ovarian clear cell carcinoma
| PRJNA529652 | ENA