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Orthotopic Implantation of Patient-Derived Cancer Cells in Mice Recapitulates Advanced Colorectal Cancer
Published on: February 10, 2023
Patient-derived colorectal microtumors predict response to anti-PD-1 therapy
Duy T Nguyen1, Matthew A Schaller2, Krista P Terracina3
1Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, United States.
A new 3D ex vivo model using colorectal cancer (CRC) microtumors and patient immune cells shows promise for predicting response to anti-PD-1 therapy, especially in rare POLE-mutated MSS CRC cases.
Area of Science:
- Oncology
- Immunotherapy
- Cancer Research
Background:
- Colorectal cancer (CRC) remains a significant cause of cancer mortality.
- While anti-PD-1 therapy benefits microsatellite instability (MSI) CRC, most patients are microsatellite stable (MSS).
- A subset of MSS CRC with POLE mutations and high tumor mutational burden (TMB) shows unexpected responses to immunotherapy.
Purpose of the Study:
- To develop a novel 3D ex vivo immunotherapy model for predicting anti-PD-1 response in CRC.
- To investigate the potential of this model in identifying responders among MSS CRC patients with specific mutations.
- To guide personalized treatment strategies for CRC based on predictive biomarkers.
Main Methods:
- Established a 3D ex vivo co-culture system with patient-derived CRC microtumors and autologous peripheral blood mononuclear cells (PBMCs).
- Treated microtumors ex vivo with pembrolizumab (anti-PD-1 therapy).
- Assessed interferon-gamma (IFN-γ) secretion and T-cell infiltration as indicators of immune response.
Main Results:
- The 3D ex vivo model demonstrated heterogeneous but appreciable IFN-γ secretion and T-cell infiltration upon pembrolizumab treatment.
- A case study highlighted a POLE-mutated, ultrahigh TMB MSS CRC phenotype responding to PD-1 blockade.
- The model showed potential in reflecting treatment response in specific CRC subtypes.
Conclusions:
- The novel 3D ex vivo model can predict anti-PD-1 therapy response in CRC.
- This model may identify MSS CRC patients with POLE mutations and high TMB as potential responders.
- The model serves as a valuable tool for personalized treatment planning in CRC.
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