Prediction of overall survival in patients across solid tumors following atezolizumab treatments: A tumor growth inhibition–overall survival modeling framework-Reference-Cited by-同舟云学术

Prediction of overall survival in patients across solid tumors following atezolizumab treatments: A tumor growth inhibition–overall survival modeling framework

Published:2021-08-04 Issue:10 Volume:10 Page:1171-1182
ISSN:2163-8306
Container-title:CPT: Pharmacometrics & Systems Pharmacology
language:en
Short-container-title:CPT Pharmacometrics Syst. Pharmacol.

Author:

Chan Phyllis¹^ORCID,Marchand Mathilde²,Yoshida Kenta¹^ORCID,Vadhavkar Shweta¹,Wang Nina¹,Lin Alyse¹,Wu Benjamin¹,Ballinger Marcus³,Sternheim Nitzan⁴,Jin Jin Y.¹,Bruno René⁵^ORCID

Affiliation:

1. Department of Clinical Pharmacology Genentech, Inc. South San Francisco California USA

2. Certara Marseille France

3. Department of Clinical Science Genentech, Inc. South San Francisco California USA

4. Department of Product Development Genentech, Inc. South San Francisco California USA

5. Department of Clinical Pharmacology Genentech/Roche Marseille France

Publisher

Wiley

Subject

Pharmacology (medical),Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/psp4.12686

Reference52 articles.

1. Progress and Opportunities to Advance Clinical Cancer Therapeutics Using Tumor Dynamic Models

2. Evaluation of Tumor Size Response Metrics to Predict Survival in Oncology Clinical Trials

3. Optimizing Oncology Therapeutics Through Quantitative Translational and Clinical Pharmacology: Challenges and Opportunities

4. Model-Based Prediction of Phase III Overall Survival in Colorectal Cancer on the Basis of Phase II Tumor Dynamics

5. Comparison of tumor size assessments in tumor growth inhibition-overall survival models with second-line colorectal cancer data from the VELOUR study

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