Kenneth R Gundle, Karthik Rajasekaran, Jeffrey Houlton, Gary B Deutsch, Thomas J Ow, Robert G Maki, John Pang, Cherie-Ann O Nathan, Daniel Clayburgh, Jason G Newman, Elyse Brinkmann, Michael J Wagner, Seth M Pollack, Matthew J Thompson, Ryan J Li, Vikas Mehta, Bradley A Schiff, Barry I Wenig, Paul L Swiecicki, Alice L Tang, Jessica L Davis, Annemieke van Zante, Jessica A Bertout, Wendy Jenkins, Atticus Turner, Marc Grenley, Connor Burns, Jason P Frazier, Angela Merrell, Kimberly H W Sottero, Jonathan M J Derry, Kate C Gillespie, Bre Mills, Richard A Klinghoffer
Introduction: Drug development is systemically inefficient. Research and development costs for novel therapeutics average hundreds of millions to billions of dollars, with the overall likelihood of approval estimated to be as low as 6.7% for oncology drugs. Over half of these failures are due to a lack of drug efficacy. This pervasive and repeated low rate of success exemplifies how preclinical models fail to adequately replicate the complexity and heterogeneity of human cancer. Therefore, new methods of evaluation, early in the development trajectory, are essential both to rule-in and rule-out novel agents with more rigor and speed, but also to spare clinical trial patients from the potentially toxic sequelae (high risk) of testing investigational agents that have a low likelihood of producing a response (low benefit)...
2024: Frontiers in Pharmacology