Optimizing dose selection in oncology: the rationale for the clinical dose selection of giredestrant, an oral selective estrogen receptor degrader
Year: 2026
Type: article
Abstract: INTRODUCTION: 'Maximum tolerated dose' (MTD) was historically used to maximize clinical efficacy. However, there is a drive to optimize dose selection to improve safety/tolerability, while maintaining efficacy. This paradigm is increasingly important in oncology clinical development, leading to a focus on careful early-phase trial design to ensure that appropriate dose - or exposure-response data are obtained to guide dose selection. AREAS COVERED: We describe the development pathway and risk-benefit considerations for clinical dose selection for giredestrant, a next-generation, highly potent, non-steroidal oral selective estrogen receptor antagonist and degrader, under development for estrogen receptor-positive breast cancer. This included evaluating low-grade adverse events to potentially improve tolerability, long-term compliance, and giredestrant combination therapy use; using pharmacodynamic markers for early drug activity assessment; and testing multiple dose levels during dose-escalation and -expansion phases. Data were leveraged from preclinical and phase I/II studies in metastatic and early breast cancer, as a single agent with palbociclib, to inform giredestrant dose selection. EXPERT OPINION: Our learnings challenge the MTD paradigm in drug development, particularly in targeted therapies, and demonstrate the importance of basing dose selection on the totality of evidence, including preclinical data, and may help inform the clinical development of future targeted therapies.
Authors: Elgene Lim, Jiajie Yu, Chunze Li, Mona D. Shah, Jennifer Eng-Wong, Pablo Diego Pérez-Moreno, Komal Jhaveri
Institutions: UNSW Sydney, Genentech, Memorial Sloan Kettering Cancer Center
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Awards: G2051006376, G435377872
OpenAlex ID: W7126041839
