C Herranz-Ors, S G Bhosle, A E Beck, J G R Gilbert, G Picco, J Espejo Valle-Inclan, F Muyas, S Valentini, A E Andres, R Ansari, S Barthorpe, G Battarbee, C M Beaver, S Brocklesby, J Cantwell, C A Collins, J Davis, H G Dimitrova, J Doran, E Efendi, K Evans, M Fekry, T A Fowler, M Garcia-Casado, J A T Griffiths, C Hall, R Hamer, C Hardy, Z Hewitson, E Hitch, L Holland, D A Jackson, N Joshi, A Kavasakali, L Letchford, H B Lightfoot, H Lingala, I Mali, K May, T Mironenko, J Morris, C Pacini, S Price, G Robert-Tissot, H A Rogers, J V Smith, K Smith, E Souster, W J Spence, F Thomas, S F Vieira, S Walker, G Alfonsin, H Bermingham, H Coles, D P Ennis, A Freeman, G Giannone, N Grehan, E A Griffiths, J Hall, S L Lee, E Y L Leung, C Loreno, C Millington, A Mirnezami, B Nutzinger, K Orzechowska, C M A Pinna, A M Redmond, K Roberts, S Roy, D A Sanders, P Taniere, M Vias, K Wanigasooriya, OCCAMS Consortium, M R Stratton, L M Staudt, U McDermott, J D Brenton, I A McNeish, A Biankin, O J Sansom, I Cortes-Ciriano, T J Underwood, R C Fitzgerald, A D Beggs, H E Francies, M J Garnett
256 clinically annotated tumour organoids were derived from patient tissue across multiple cancer types and characterized using whole-genome and transcriptome sequencing and genome-wide CRISPR-Cas9 screens. Gene dependencies were mapped across organoids, revealing genomic and clinical markers of dependency and targetable vulnerabilities. An open, publicly available resource provides a systematic map of gene dependencies in patient-derived organoids, advancing precision oncology.
Cancer cell lines remain foundational for research and drug discovery, yet they incompletely capture tumour diversity, lack linked patient context, and have undergone adaptation to culture. Tumour organoids are three-dimensional cultures derived from patient tissue that offer a powerful complement to cell lines1. Here we derived and characterized 256 clinically annotated tumour organoids directly from colorectal, oesophageal, ovarian, pancreatic and gastric cancers as renewable, genetically stable models. Extensive characterization of each model and matched patient tumour samples included whole-genome and transcriptome sequencing, and genome-wide CRISPR-Cas9 screens across 162 organoids mapped gene dependencies. Integrative analyses revealed genomic and clinical markers of dependency across common and rare subtypes, identified organoid-specific essential genes, and revealed targetable vulnerabilities following tumour evolution in paired pre- and post-treatment samples. In colorectal cancer, functional and pharmacological interrogation of the EGFR-RAS-MAPK axis uncovered differential effects of KRAS variant alleles. This open, publicly available resource provides a systematic map of gene dependencies in patient-derived organoids, expanding the model diversity and mechanistic insight needed to advance precision oncology.