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Molecular analysis of high-grade serous ovarian carcinoma with and without associated serous tubal intra-epithelial carcinoma [RNA-Seq; normal samples]

ABSTRACT: Molecular analysis of high-grade serous ovarian carcinoma with and without associated serous tubal intra-epithelial carcinoma [RNA-Seq; normal samples]

PROVIDER: PRJNA471533 | ENA |

REPOSITORIES: ENA

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Molecular analysis of high-grade serous ovarian carcinoma with and without associated serous tubal intra-epithelial carcinoma

Project description:Molecular analysis of high-grade serous ovarian carcinoma with and without associated serous tubal intra-epithelial carcinoma

| PRJNA396576 | ENA

Molecular analysis of high-grade serous ovarian carcinoma with and without associated serous tubal intra-epithelial carcinoma [CNV]

Project description:Many high-grade serous carcinomas (HGSCs) of the pelvis are thought to originate in the distal portion of the fallopian tube. Serous tubal intraepithelial carcinoma (STIC) lesions are the putative precursor to HGSC and identifiable in ~50% of advanced stage cases. To better understand the molecular etiology of HGSCs, we report a multi-center integrated genomic analysis of advanced stage tumors with and without STIC lesions and normal tissues. The most significant focal DNA SCNAs were shared between cases with and without STIC lesions. RNA sequence and miRNA data did not identify any clear separation between cases with and without STIC lesions. HGSCs had molecular profiles more similar to normal fallopian tube epithelium than ovarian surface epithelium or peritoneum. The data suggest that the molecular features of HGSCs with and without associated STIC lesions are mostly shared, indicating a common biologic origin, likely to be the distal fallopian tube among all cases.

2017-08-01 | GSE102085 | GEO

The methylomic landscape of fallopian tube lesions associated with ovarian high grade serous carcinoma

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Molecular analysis of high-grade serous ovarian carcinoma with and without associated serous tubal intra-epithelial carcinoma [miRNA expression]

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Molecular analysis of high-grade serous ovarian carcinoma with and without associated serous tubal intra-epithelial carcinoma [RNA-Seq]

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Molecular analysis of high-grade serous ovarian carcinoma with and without associated serous tubal intra-epithelial carcinoma [RNA-Seq; normal samples]

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miRNA profiling in high-grade serous ovarian carcinoma

Project description:In this study, we performed miRNA profiles analysis of high-grade serous ovarian carcinoma compared to normal fallopian tube fimbria using microarray (Exiqon, Denmark) to evaluate their potential role in the pathogenesis of uterine leiomyoma. miRNA profiling analysis of the 10 samples including 5 high-grade serous ovarian carcinomas and 5 normal fallopian tube fimbria.

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Ovarian high grade serous carcinoma ascites cell proteoms

Project description:Tumor cells, macrophages and T cells from high grade serous ovarian carcinoma from the ascites of patients undergoing primary surgery were analysed without culturing (ex vivo) via obitrap.

2017-11-17 | PXD006138 | Pride

Ovarian high grade serous carcinoma ascites cell secretome

Project description:The secretomes of tumor cells, and macrophages from high grade serous ovarian carcinoma from the ascites of patients undergoing primary surgery were analysed after 24h culture (ex vivo) via obitrap.

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Project description:Bulk and single-cell RNA sequencing do not provide full characterization of tissue spatial diversity in cancer samples, and currently available in situ techniques (multiplex immunohistochemistry, imaging mass cytometry) allow for only limited analysis of a small number of targets. The current study represents the first comprehensive approach to spatial transcriptomics of high-grade serous ovarian carcinoma using intact tumor tissue. We selected a small cohort of patients with highly annotated high-grade serous ovarian carcinoma, categorized them by response to neoadjuvant chemotherapy (poor or excellent), and analyzed pre-treatment tumor tissue specimens. Our study uncovered extensive differences in tumor composition between the poor responders and excellent responders to chemotherapy, related to cell cluster organization and localization. This in-depth characterization of high-grade serous ovarian carcinoma tumor tissue from poor and excellent responders showed that spatial interactions between cell clusters may influence chemo-responsiveness more than cluster composition alone.

2021-12-02 | GSE189843 | GEO

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