Advancing precision oncology with large, real-world genomics and treatment outcomes data

Analysis of genomics data and medical records of over 40,000 patients with cancer identifies hundreds of mutations that are predictive of how well patients respond to specific cancer therapies. These predictive biomarkers could inform personalized treatment planning.

Automated summary

An analysis of genomic data and medical records from over 40,000 cancer patients has identified hundreds of mutations that can predict how patients will respond to specific cancer therapies. These predictive biomarkers could provide guidance for personalized treatment planning.