@article{1546,
  keywords = {Animals, Antineoplastic Agents, Breast Neoplasms, Cells, Cultured, Drug Screening Assays, Antitumor, Female, Genetic Heterogeneity, Humans, Mice, Mice, Nude, organoids, Precision Medicine, Tissue Banks, basal, biobank, Breast cancer, luminal, organoids, Precision Medicine, triple negative},
  author = {Norman Sachs and Joep de Ligt and Oded Kopper and Ewa Gogola and Gergana Bounova and Fleur Weeber and Anjali Vanita Balgobind and Karin Wind and Ana Gracanin and Harry Begthel and Jeroen Korving and Ruben van Boxtel and Alexandra Alves Duarte and Daphne Lelieveld and Arne van Hoeck and Robert Frans Ernst and Francis Blokzijl and Isaac Johannes Nijman and Marlous Hoogstraat and Marieke van de Ven and David Anthony Egan and Vittoria Zinzalla and Jurgen Moll and Sylvia Fernandez Boj and Emile Eugene Voest and Lodewyk Wessels and Paul Joannes van Diest and Sven Rottenberg and Robert Gerhardus Jacob Vries and Edwin Cuppen and Hans Clevers},
  title = {A Living Biobank of Breast Cancer Organoids Captures Disease Heterogeneity},
  abstract = {Breast cancer (BC) comprises multiple distinct subtypes that differ genetically, pathologically, and clinically. Here, we describe a robust protocol for long-term culturing of human mammary epithelial organoids. Using this protocol, >100 primary and metastatic BC organoid lines were generated, broadly recapitulating the diversity of the disease. BC organoid morphologies typically matched the histopathology, hormone receptor status, and HER2 status of the original tumor. DNA copy number variations as well as sequence changes were consistent within tumor-organoid pairs and largely retained even after extended passaging. BC organoids furthermore populated all major gene-expression-based classification groups and allowed in vitro drug screens that were consistent with in vivo xeno-transplantations and patient response. This study describes a representative collection of well-characterized BC organoids available for cancer research and drug development, as well as a strategy to assess in vitro drug response in a personalized fashion.},
  year = {2018},
  journal = {Cell},
  volume = {172},
  pages = {373-386.e10},
  month = {2018-01-11},
  issn = {1097-4172},
  doi = {10.1016/j.cell.2017.11.010},
  language = {eng},
}