In this study, patient-derived tumor organoids were used to determine the correlation between the irradiation response of individual patient-derived rectal cancer organoids and the results of actual radiotherapy of the included 33 patients. Histology and next-generation sequencing analysis confirmed that patient-derived tumor organoids closely recapitulated original tumors, both pathophysiologically and genetically.
A prediction model was developed based on a machine learning algorithm using clinical and experimental radioresponse data. Radiation responses in patients were positively correlated with those in patient-derived tumor organoids. The machine learning-based prediction model for radiotherapy results was demonstrated to have a prediction accuracy of more than 89%.
A patient-derived organoid-based radiosensitivity model for the prediction of radiation responses in patients with rectal cancer
The IE from MS no longer understands current scripting languages, the latest main version (version 11) is from 2013 and has not been further developed since 2015.
Our recommendation: Use only the latest versions of modern browsers, for example Google Chrome, Mozilla Firefox or Microsofrt Edge, because only this guarantees you sufficient protection against infections and the correct display of websites!