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Trellis tree-based analysis reveals stromal regulation of patient-derived organoid drug responses.
Ramos Zapatero, María; Tong, Alexander; Opzoomer, James W; O'Sullivan, Rhianna; Cardoso Rodriguez, Ferran; Sufi, Jahangir; Vlckova, Petra; Nattress, Callum; Qin, Xiao; Claus, Jeroen; Hochhauser, Daniel; Krishnaswamy, Smita; Tape, Christopher J.
Afiliação
  • Ramos Zapatero M; Cell Communication Lab, Department of Oncology, University College London Cancer Institute, London WC1E 6DD, UK.
  • Tong A; Department of Computer Science, Yale University, New Haven, CT, USA; Department of Computer Science and Operations Research, Université de Montréal, Montreal, QC, Canada; Mila - Quebec AI Institute, Montréal, QC, Canada.
  • Opzoomer JW; Cell Communication Lab, Department of Oncology, University College London Cancer Institute, London WC1E 6DD, UK.
  • O'Sullivan R; Cell Communication Lab, Department of Oncology, University College London Cancer Institute, London WC1E 6DD, UK.
  • Cardoso Rodriguez F; Cell Communication Lab, Department of Oncology, University College London Cancer Institute, London WC1E 6DD, UK.
  • Sufi J; Cell Communication Lab, Department of Oncology, University College London Cancer Institute, London WC1E 6DD, UK.
  • Vlckova P; Cell Communication Lab, Department of Oncology, University College London Cancer Institute, London WC1E 6DD, UK.
  • Nattress C; Cell Communication Lab, Department of Oncology, University College London Cancer Institute, London WC1E 6DD, UK.
  • Qin X; Cell Communication Lab, Department of Oncology, University College London Cancer Institute, London WC1E 6DD, UK.
  • Claus J; Phospho Biomedical Animation, The Greenhouse Studio 6, London N17 9QU, UK.
  • Hochhauser D; Drug-DNA Interactions Group, Department of Oncology, University College London Cancer Institute, London WC1E 6DD, UK.
  • Krishnaswamy S; Department of Computer Science, Yale University, New Haven, CT, USA; Department of Genetics, Yale University, New Haven, CT, USA; Program for Computational Biology & Bioinformatics, Yale University, New Haven, CT, USA; Program for Applied Math, Yale University, New Haven, CT, USA; Wu-Tsai Instit
  • Tape CJ; Cell Communication Lab, Department of Oncology, University College London Cancer Institute, London WC1E 6DD, UK. Electronic address: c.tape@ucl.ac.uk.
Cell ; 186(25): 5606-5619.e24, 2023 12 07.
Article em En | MEDLINE | ID: mdl-38065081
Patient-derived organoids (PDOs) can model personalized therapy responses; however, current screening technologies cannot reveal drug response mechanisms or how tumor microenvironment cells alter therapeutic performance. To address this, we developed a highly multiplexed mass cytometry platform to measure post-translational modification (PTM) signaling, DNA damage, cell-cycle activity, and apoptosis in >2,500 colorectal cancer (CRC) PDOs and cancer-associated fibroblasts (CAFs) in response to clinical therapies at single-cell resolution. To compare patient- and microenvironment-specific drug responses in thousands of single-cell datasets, we developed "Trellis"-a highly scalable, tree-based treatment effect analysis method. Trellis single-cell screening revealed that on-target cell-cycle blockage and DNA-damage drug effects are common, even in chemorefractory PDOs. However, drug-induced apoptosis is rarer, patient-specific, and aligns with cancer cell PTM signaling. We find that CAFs can regulate PDO plasticity-shifting proliferative colonic stem cells (proCSCs) to slow-cycling revival colonic stem cells (revCSCs) to protect cancer cells from chemotherapy.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fibroblastos Associados a Câncer Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fibroblastos Associados a Câncer Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article