Combination therapies for personalized cancer medicine
It is the ambition of the team formed by members of the Netherlands Cancer Institute (NKI) and the Cancer Genome Project at the Wellcome Trust Sanger Institute (WTSI) to unravel the genomic and phenotypic complexity of human cancers in order to identify optimal drug combinations for personalized cancer therapy. Our integrated approach will entail (i) deep sequencing of human tumours and cognate mouse tumours; (ii) drug screens in a 1000+ fully characterized tumour cell line panel; (iii) high-throughput in vitro and in vivo shRNA and cDNA drug resistance and enhancement screens; (iv) computational analysis of the acquired data, leading to significant response predictions; (v) rigorous validation of these predictions in genetically engineered mouse models and patient-derived xenografts. This integrated effort is expected to yield a number of combination therapies and companion-diagnostics biomarkers that will be further explored in our existing clinical trial networks.
- Technology: Illumina HiSeq 2000
- 62 samples
- DAC: EGAC00001000000
- Data Use Conditions:
- IS DUO:0000028 (version: 2021-02-23) institution specific restriction This data use modifier indicates that use is limited to use within an approved institution.
- US DUO:0000026 (version: 2021-02-23) user specific restriction This data use modifier indicates that use is limited to use by approved users.
- GRU DUO:0000042 (version: 2021-02-23) general research use This data use permission indicates that use is allowed for general research use for any research purpose.
- PUB DUO:0000019 (version: 2021-02-23) publication required This data use modifier indicates that requestor agrees to make results of studies using the data available to the larger scientific community.
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. Click on one of the Study IDs below to find out more.
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