Patient-derived micro-organospheres enable clinical precision oncology

Shengli Ding1, Carolyn Hsu2, Zhaohui Wang1

  • 1Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC 27708, USA; Xilis, Inc., Durham, NC 27713, USA.

Cell Stem Cell
|May 4, 2022
PubMed

Insights

Rapidly generated micro-organospheres (MOSs) from patient tumors accurately predict cancer drug response within 14 days. This breakthrough enables timely clinical decisions and testing of novel immuno-oncology therapies.

Area of Science:

  • Oncology
  • Biotechnology
  • Microfluidics

Background:

  • Patient-derived xenografts (PDXs) and organoids (PDOs) model cancer therapy response but have limitations for timely clinical decisions.
  • Current models struggle to provide rapid, actionable insights for precision oncology.

Purpose of the Study:

  • To develop a rapid, patient-derived model for precision oncology.
  • To assess the feasibility of using micro-organospheres (MOSs) to guide clinical treatment decisions.
  • To evaluate MOSs as a platform for testing immuno-oncology (IO) therapies.

Main Methods:

  • Utilized droplet emulsion microfluidics for rapid generation of thousands of micro-organospheres (MOSs) from low-volume patient tissues.
  • Implemented temperature control and dead-volume minimization in the microfluidic system.
  • Conducted a clinical study with metastatic colorectal cancer (CRC) patients to assess drug response using the MOS pipeline.

Main Results:

  • MOSs were rapidly generated from patient tissues, serving as an ideal model for precision oncology.
  • The MOS-based pipeline reliably assessed tumor drug response within 14 days for metastatic colorectal cancer (CRC) patients.
  • MOSs successfully captured stromal cells and allowed T cell penetration, enabling testing of immuno-oncology (IO) therapies.

Conclusions:

  • Micro-organospheres (MOSs) offer a rapid and effective patient-derived model for clinical precision oncology.
  • The MOS platform provides a clinically relevant timeline for guiding cancer treatment decisions.
  • MOSs are a valuable tool for evaluating the efficacy of immuno-oncology (IO) therapies, including PD-1 blockade and T cell therapies.

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