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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.

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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.

ID File Type Size Located in
EGAF00002278929 bam 4.8 GB
EGAF00002278930 bam 4.3 GB
EGAF00002278931 bam 3.8 GB
EGAF00002278938 bam 4.4 GB
EGAF00002278939 bam 3.9 GB
EGAF00002278940 bam 3.8 GB
EGAF00002278941 bam 4.4 GB
EGAF00002278942 bam 4.3 GB
EGAF00002278943 bam 4.4 GB
EGAF00002278944 bam 4.9 GB
EGAF00002278945 bam 3.5 GB
EGAF00002278946 bam 4.3 GB
EGAF00002278947 bam 4.5 GB
EGAF00002278948 bam 4.0 GB
EGAF00002278949 bam 4.5 GB
EGAF00002278950 bam 3.6 GB
EGAF00002278951 bam 4.8 GB
EGAF00002278952 bam 4.8 GB
EGAF00002278953 bam 6.2 GB
EGAF00002278954 bam 3.1 GB
EGAF00002278955 bam 5.1 GB
EGAF00002278956 bam 5.1 GB
EGAF00002278957 bam 4.7 GB
EGAF00002278958 bam 3.5 GB
EGAF00002278959 bam 2.9 GB
EGAF00002278960 bam 4.6 GB
EGAF00002278961 bam 4.6 GB
EGAF00002278962 bam 4.2 GB
EGAF00002278963 bam 4.8 GB
EGAF00002278964 bam 2.8 GB
EGAF00002278965 bam 3.7 GB
EGAF00002278966 bam 2.3 GB
EGAF00002278967 bam 4.2 GB
EGAF00002278968 bam 4.8 GB
EGAF00002278969 bam 3.9 GB
EGAF00002278970 bam 6.4 GB
EGAF00002278971 bam 3.7 GB
EGAF00002278972 bam 1.9 GB
EGAF00002278973 bam 2.4 GB
EGAF00002278974 bam 4.4 GB
EGAF00002278975 bam 3.9 GB
EGAF00002278976 bam 4.4 GB
EGAF00002278977 bam 5.2 GB
EGAF00002278978 bam 5.4 GB
EGAF00002278979 bam 4.8 GB
EGAF00002278980 bam 4.8 GB
EGAF00002278981 bam 4.8 GB
EGAF00002278982 bam 4.9 GB
EGAF00002278983 bam 4.9 GB
EGAF00002278984 bam 4.5 GB
50 Files (213.6 GB)