Prospective experimental treatment of colorectal cancer patients based on organoid drug responses

S N Ooft1, F Weeber1, L Schipper1

  • 1Department of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands; Oncode Institute, Utrecht, The Netherlands.

ESMO Open
|April 22, 2021
PubMed
Abstract

Insights

Patient-derived organoids showed promise for precision medicine, but the SENSOR trial found limited clinical value due to treatment access and response rates. Further research is needed to optimize organoid-guided cancer therapy.

Area of Science:

  • Oncology
  • Translational Medicine
  • Biotechnology

Background:

  • Organoid technology offers a novel in vitro method for assessing patient tumor drug sensitivity.
  • This approach holds potential for advancing precision medicine by simplifying complex profiling methods.

Purpose of the Study:

  • To evaluate the feasibility of using patient-derived organoids to guide treatment selection in the SENSOR trial.
  • To determine if organoid drug sensitivity predicts clinical response to off-label or investigational agents.

Main Methods:

  • A prospective, single-arm trial involving patient biopsies for organoid culture and drug screening.
  • Organoids were exposed to a panel of eight drugs, with patients treated based on identified in vitro sensitivity.
  • The primary endpoint was an objective response rate of at least 20%.

Main Results:

  • Organoids were successfully generated for 54% of eligible patients (31 out of 54).
  • Nineteen organoids (76%) showed significant responses to at least one drug in vitro.
  • Despite organoid sensitivity, none of the six treated patients achieved objective clinical responses.

Conclusions:

  • Organoid technology demonstrated limited utility in this patient cohort for precision medicine.
  • Challenges included low organoid culture success rates, patient clinical decline, and the need for optimized drug panels.
  • Refinements in organoid-guided clinical study design are essential for future applications.

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