Precision Recommendation Service for Second-Generation Hormonal Therapy in Prostate Cancer

Booth No: N915

Characteristic

We adopted Affymetrix transcriptome gene chip and analyzed the RNA expression from patients’ peripheral blood prior to, 3-month later, and after drug resistance developed.Using weighted gene correlation network analysis, we identified several gene modules correlated to specific drug responses. Then, we combined several machine learning algorithms and constructed classification models for different drug mechanisms. The overall accuracy for androgen synthesis inhibitors and androgen receptor blockers were 84.4% and 90%, respectively. Because of the patent planning, our publication was limited to 2024 AACR poster. We have obtained a patent in Taiwan (I808838) and the PCT application was submitted.