Development of a Joint Tumor Size-Overall Survival Modeling and Simulation Framework Supporting Oncology Development Decision-Making.

• Tác giả: Richard C Franzese, Sebastiaan C Goulooze, Alejandro Mantero, Murad Melhem, Morris Muliaditan, Teun M Post, Chetan Rathi, Herbert Struemper, Sandra A G Visser
• Ngôn ngữ: eng
• Thông tin xuất bản: United States : CPT: pharmacometrics & systems pharmacology , 2025
• Bộ sưu tập: NCBI
• ID: 541046

Tóm tắt

Tumor size-overall survival (TS-OS) models can support decision-making in oncology drug development by predicting long-term OS based on TS data from early data cuts and baseline patient factors. The current work describes the development of a TS-OS framework capable of predicting OS across a variety of treatment modalities and mechanisms of action in patients with non-small cell lung cancer from seven clinical studies. The presented framework jointly models TS with a bi-exponential Stein model and OS with an accelerated failure time log-normal survival model. In the corresponding link function between TS and OS, the most significant predictor of OS was the tumor growth rate (k