Longitudinal nonlinear mixed effects modeling of EGFR mutations in ctDNA as predictor of disease progression in treatment of EGFR‐mutant non‐small cell lung cancer

Longitudinal nonlinear mixed effects modeling of EGFR mutations in ctDNA as predictor of disease progression in treatment of EGFR‐mutant non‐small cell lung cancer

Abstract Correlations between increasing concentrations of circulating tumor DNA (ctDNA) in plasma and disease progression have been shown. A nonlinear mixed effects model to describe the dynamics of epidermal growth factor receptor (EGFR) ctDNA data from patients with non‐small cell lung cancer (NS...

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Main Authors: Julie M. Janssen, Remy B. Verheijen, Tirsa T. vanDuijl, Lishi Lin, Michel M. van denHeuvel, Jos H. Beijnen, Neeltje Steeghs, Daan van denBroek, Alwin D. R. Huitema, Thomas P. C. Dorlo
Format: Article
Language:English
Published: Wiley 2022-08-01
Series:Clinical and Translational Science
Online Access:https://doi.org/10.1111/cts.13300

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https://doi.org/10.1111/cts.13300

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