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DTSTAMP:20260818T151647Z
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DTSTART:20230621T090000Z
DTEND:20230621T170000Z
DESCRIPTION:Patient-derived cancer models (PDCMs) have become an essential 
 tool in both cancer research and preclinical studies. Each model type offe
 rs unique advantages and is better suited for specific research areas: cel
 l lines are low cost and allow high throughput assays\, organoids model th
 e impact of intratumour heterogeneity\, tumour evolution\, and drug respon
 se\, and patient-derived xenografts (PDXs) retain the tumour architecture 
 to better predict patient response to treatment. Seamless access to PDCMs 
 is\, however\, hindered by the lack of shared data standards. As such\, PD
 CMs stakeholders - i.e.\, researchers\, clinicians\, bioinformaticians and
  analytical tool developers - are faced with the challenge to navigate a c
 omplex and siloed landscape across multiple commercial and academic resour
 ces.\n\nCancerModels.Org is a new cancer research platform that aggregates
  clinical\, genomic\, and functional data from PDXs\, organoids and cell l
 ines. The platform addresses the needs of the stakeholders by standardisin
 g\, harmonising\, and integrating the complex and diverse data associated 
 with patient-derived cancer models. Its foundation is underpinned by our e
 fforts to develop and promote the use of descriptive standards (e.g.\, PDX
 -MI\, PMID: 29092942) to facilitate data interoperability and global shari
 ng of models. Further value is provided by enriching the models and data w
 ith concepts from well-established terminologies (e.g. NCI Thesaurus) and 
 links to external resources\, such as\, publication platforms\, raw data a
 rchives and cancer specific annotation tools enabling exploration and prio
 ritisation of cancer model variation data. CancerModels.Org is freely avai
 lable under an Apache 2.0 license ([https://github.com/PDCMFinder](https:/
 /github.com/PDCMFinder)).
LOCATION:\, 
SUMMARY:A guide to identifying suitable patient-derived cancer models in Ca
 ncerModels.Org
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/guide-identifying-suita
 ble-patient-derived-cancer-models-cancermodelsorg
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