DNA Methylation Profiles of Ovarian Clear Cell Carcinoma
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ABSTRACT:
PROVIDER: PRJNA767374 | ENA |
REPOSITORIES: ENA
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Project description:The microRNA profiles of ovarian clear cell carcinoma
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Project description:To investigate the microRNA profiles of ovarian clear cell carcinoma (OCCC), microRNA sequencing was performed using formalin-fixed, paraffin-embedded (FFPE) and fresh-frozen clinical samples. Moreover, patient-derived xenograft (PDX) tumors and cell lines were also investigated.
2022-04-16 | GSE200852 | GEO
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:Background. Ovarian clear cell carcinoma (OCCC) is a rare ovarian cancer histotype that tends to be resistant to standard platinum-based chemotherapeutics. We sought to better understand the role of DNA methylation in clinical and biological subclassification of OCCC. Methods. We interrogated genome-wide methylation using DNA from fresh frozen tumors from 271 cases, applied non-smooth non-negative matrix factorization (nsNMF) clustering, and evaluated clinical associations and biological pathways. Results. Two approximately equally sized clusters that associated with several clinical features were identified. Compared to Cluster 2 (N=137), Cluster 1 cases (N=134) presented at a more advanced stage, were less likely to be of Asian ancestry, and tended to have poorer outcomes including macroscopic residual disease following primary debulking surgery (p-values <0.10). Subset analyses of targeted tumor sequencing and immunohistochemical data revealed that Cluster 1 tumors showed TP53 mutation and abnormal p53 expression, and Cluster 2 tumors showed aneuploidy and ARID1A/PIK3CA mutation (p-values <0.05). Cluster-defining CpGs included 1,388 CpGs residing within 200 bp of the transcription start sites of 977 genes; 38% of these genes (N=369 genes) were differentially expressed across cluster in transcriptomic subset analysis (p-values <10-4). Differentially expressed genes were enriched for six immune-related pathways, including interferon alpha and gamma responses (p-values < 10-6). Conclusions. DNA methylation clusters in OCCC correlate with disease features and gene expression patterns among immune pathways. Impact. This work serves as a foundation for integrative analyses that better understand the complex biology of OCCC in an effort to improve potential for development of targeted therapeutics.
2021-12-10 | GSE185008 | GEO
Project description:12 ovarian clear cell carcinoma cell lines were transcriptomically profiles using the illumina human v6 chip
2008-11-13 | E-TABM-540 | biostudies-arrayexpress
Project description:Exploring the expression profile of ovarian clear cell carcinoma cancer cell subpopulations- derived tumors grown within a murine and a human cellular tissues.
2013-01-07 | GSE43208 | GEO
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: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:Immune subtype of ovarian clear cell carcinoma
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Project description:Ovarian cancer is a malignant gynecologic disease rarely diagnosed in the early stages. Among ovarian cancers, clear cell carcinoma has a poor prognosis due to its malignant potential. MicroRNAs (miRNAs) regulate gene expression in cells by suppressing the translation of the target gene or by degrading the target mRNA. They are also secreted from the cells in the blood, binding to the proteins or lipids and assisting in cell-cell communication. Hence, serum miRNAs can also be diagnostic biomarkers for ovarian cancer. This study investigated and identified specific miRNAs for ovarian clear cell carcinoma and compared them to those of ovarian endometrioma in healthy patients. CA125, an ovarian tumor marker, did not differ between patients with ovarian clear cell carcinoma, endometriosis, or healthy controls. Four miRNAs (miR-146a-5p, miR-191-5p, miR-484, and miR-574-3p) were analyzed. The miR-146a-5p and miR-191-5p expression levels were significantly increased in the serum samples from the patients with ovarian clear cell carcinoma compared to the healthy controls but not in the patients with endometriosis (P < 0.05). Furthermore, the bioinformatics analysis showed that CCND2 and NOTCH2 were the candidate target genes of miR 146a-5p and miR-191-5p. In conclusion, our results showed that miR 146a-5p and miR-191-5p might be useful as early and non-invasive diagnostic tools in ovarian clear cell carcinoma. These miRNAs can help in distinguishing between ovarian clear cell carcinoma and ovarian endometrioma. To the best of our knowledge, no studies have screened any candidates specifically for clear cell carcinoma.
2023-10-06 | GSE239685 | GEO