Tumor Time‐Course Predicts Overall Survival in Non‐Small Cell Lung Cancer Patients Treated with Atezolizumab: Dependency on Follow‐Up Time
Author:
Affiliation:
1. Department of Pharmaceutical Biosciences Uppsala University Uppsala Sweden
2. Department of Clinical Pharmacology Genentech‐Roche Marseille France
3. Department of Clinical Pharmacology Genentech South San Francisco California USA
Funder
Cancerfonden
Publisher
Wiley
Subject
Pharmacology (medical),Modelling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/psp4.12489
Reference37 articles.
1. US Department of Health and Human Services Food and Drug Administration Oncology Center of Excellence Center for Drug Evaluation and Research (CDER) & Center for Biologics Evaluation and Research (CBER) Clinical Trial Endpoints for the Approval of Cancer Drugs and Biologics.Guidance for Industry. (2018).
2. Model-Based Prediction of Phase III Overall Survival in Colorectal Cancer on the Basis of Phase II Tumor Dynamics
3. Evaluation of Tumor-Size Response Metrics to Predict Overall Survival in Western and Chinese Patients With First-Line Metastatic Colorectal Cancer
4. Population pharmacokinetic–pharmacodynamic modelling in oncology: a tool for predicting clinical response
5. A Model of Overall Survival Predicts Treatment Outcomes with Atezolizumab versus Chemotherapy in Non–Small Cell Lung Cancer Based on Early Tumor Kinetics
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