Colorectal Cancer Develops Inherent Radiosensitivity That Can Be Predicted Using Patient-Derived Organoids

Kuo-Shun Hsu1,2, Mohammad Adileh1,2, Maria Laura Martin1,2

  • 1Department of Surgery, Colorectal Service, Memorial Sloan Kettering Cancer Center, New York, New York.

Cancer Research
|April 26, 2022
PubMed

Insights

Patient-derived organoids can predict response to rectal cancer radiation therapy. This method identifies patients likely to benefit from chemoradiation, improving treatment strategies.

Area of Science:

  • Oncology
  • Radiation Oncology
  • Genetics and Genomics

Background:

  • Predicting patient response to neoadjuvant chemoradiation for colorectal cancer is difficult.
  • The single hit multi-target (SHMT) algorithm measures tissue radiosensitivity using the D0 value.
  • Previous studies validated SHMT in mouse organoid irradiation models.

Purpose of the Study:

  • To translate mouse organoid irradiation protocols to human tissues.
  • To evaluate radioresponsiveness of patient-derived organoids (PDOs) from normal and cancerous colorectal tissues.
  • To correlate PDO radiosensitivity with clinical outcomes in rectal cancer patients undergoing neoadjuvant therapy.

Main Methods:

  • Generated PDOs from normal human intestines and rectal tumors of patients undergoing neoadjuvant therapy.
  • Applied SHMT algorithm to determine D0 values, a measure of inherent radiosensitivity.
  • Conducted a pilot clinical trial correlating PDO D0 values with patient response to neoadjuvant chemoradiation.

Main Results:

  • Colorectal adenocarcinoma PDOs from a significant patient subpopulation showed marked radiosensitivity.
  • This radiosensitivity was linked to reduced homologous recombination-mediated DNA repair.
  • PDO D0 values closely correlated with clinical responses to neoadjuvant chemoradiation, including complete response.

Conclusions:

  • Analysis of inherent tissue radiosensitivity in PDOs can predict neoadjuvant therapy response in rectal cancer.
  • SHMT analysis of PDO radiation responses can identify patients with broad radiation sensitivity.
  • This approach allows for pretreatment stratification of patients likely to benefit from radiation therapy.

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