Trellis tree-based analysis reveals stromal regulation of patient-derived organoid drug responses

  • Cell. 2023 Dec 7;186(25):5606-5619.e24. doi: 10.1016/j.cell.2023.11.005.
María Ramos Zapatero  1 Alexander Tong  2 James W Opzoomer  1 Rhianna O'Sullivan  1 Ferran Cardoso Rodriguez  1 Jahangir Sufi  1 Petra Vlckova  1 Callum Nattress  1 Xiao Qin  1 Jeroen Claus  3 Daniel Hochhauser  4 Smita Krishnaswamy  5 Christopher J Tape  6
Affiliations
  • 1. Cell Communication Lab, Department of Oncology, University College London Cancer Institute, London WC1E 6DD, UK.
  • 2. 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.
  • 3. Phospho Biomedical Animation, The Greenhouse Studio 6, London N17 9QU, UK.
  • 4. Drug-DNA Interactions Group, Department of Oncology, University College London Cancer Institute, London WC1E 6DD, UK.
  • 5. 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 Institute, Yale University, New Haven, CT, USA. Electronic address: [email protected].
  • 6. Cell Communication Lab, Department of Oncology, University College London Cancer Institute, London WC1E 6DD, UK. Electronic address: [email protected].
Abstract

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.

Keywords
CAFs; PDOs; PTM signaling; Trellis; cancer associated fibroblasts; chemoresistance; mass cytometry; patient-derived organoids; plasticity; scRNA-seq; single-cell screening.
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