Ovarian Cancer Organoid Biobank - RNASeq data
Ovarian cancer (OC) is a heterogeneous disease usually diagnosed at a late stage. Experimental in vitro models that faithfully capture the hallmarks and tumor heterogeneity of OC are limited and hard to establish. We present a novel protocol that enables efficient derivation and long-term expansion of OC organoids. Utilizing this protocol, we have established 56 organoid lines from 32 patients, representing the spectrum of ovarian neoplasms, including non-malignant borderline tumors, as well as mucinous, clear-cell, endometrioid, low- and high-grade serous carcinomas. OC organoids recapitulate histological and genomic features of the pertinent lesion from which they were derived, illustrating intra- and inter-patient heterogeneity, and can be genetically modified. We show that OC organoids can be used for drug screening assays and capture different tumor subtype responses to the gold standard platinum-based chemotherapy, including acquisition of chemoresistance in recurrent disease. Finally, OC organoids can be xenografted, enabling in vivo drug sensitivity assays. Taken together, this demonstrates their potential application for research and personalized medicine.
- 50 samples
- DAC: EGAC00001000432
- Technology: NextSeq 500
- NPUNCU DUO:0000018 (version: 2021-02-23)not for profit, non commercial use onlyThis data use modifier indicates that use of the data is limited to not-for-profit organizations and not-for-profit use, non-commercial use.
- GRU DUO:0000042 (version: 2021-02-23)general research useThis data use permission indicates that use is allowed for general research use for any research purpose.
Data access policy Department of Biomedical Genetics of UMC Utrecht
The Data Access Committee of the Department of Biomedical Genetics of UMC Utrecht (DAC-DGB-UMCU) governs data access to genomic datasets and accompanying metadata via a two-step access request procedure. Access to data will only be granted to qualified users for appropriate use. Step 1: contact the DAC-DBG-UMCU at DACDBG@umcutrecht.nl, providing a brief summary of your research proposal and the requested datasets. Your proposal will be reviewed based on the necessity of the requested dataset to answer the specific research question. Step 2: The DAC will request additional documentation to complete your application. The DAC-DBG-UMCU will decide if data access is permitted by evaluating the feasibility of the project, the scientific profile of the applicant(s), and whether the relevant ethical approvals justify the proposed research. Only unanimous voting results in acceptation of the request.
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
| Study ID | Study Title | Study Type |
|---|---|---|
| EGAS00001003073 | Other |
This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.