Behind the Paper: Digital Display Precision Predictor: the prototype of a global biomarker model
Posted: Friday, April 30, 2021
Digital Display Precision Predictor: the prototype of a global biomarker model to guide treatments with targeted therapy and predict progression-free survival
Written by Vladimir Lazar
Chief Scientific and Operating Officer, WIN Consortium
Published Apr 29, 2021
Nature Portfolio Cancer Community
Digital Display Precision Predictor (DDPP) is potentially a new global biomarker model that can apply to any type of drug alone or in combination, agnostic of tumor type, and can lead, pending further prospective validation, to a new approach to optimal treatment selection for patients with cancer.
In my daily practice performing clinical tests using a genomics platform, I was often surprised by the discrepancy between laboratory test predictions and clinical reality.
A major question that remains unsatisfactorily answered for the treating physician is: what is the best drug for my patient? The current companion diagnostic approach used for most targeted therapies provides limited answers, with a binary