Applications of correlative analysis for chemistry, manufacturing and controls in cell and gene therapy

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Authors: Sangwook Choi, Alan Y. Chiang, Catherine Cheng, Tianjiao Dai, Tzu-min Yeh, Bill Pikounis
Cited by: 0
References: 33

Abstract

Correlative analysis is widely used in drug product development and manufacturing to explore the potential associations between attributes of interest. The manufacturing and control of cell and gene therapy (CGT) products are often affected by multiple factors, such as limited knowledge of product characteristics, variable starting materials, complex manufacturing and limited manufacturing experience. Understanding of correlations among process, product and clinical outcome parameters can support process optimization and improve product quality. In this paper, we review the applications of correlative analysis and discuss their implications in CGT product development and manufacturing. We also discuss the unique challenges associated with performing correlative analysis in CGT. Finally, we provide a summary of statistical techniques commonly used to identify associations among attributes related to Chemistry, Manufacturing and Controls (CMC) and clinical outcome. This review aims to provide insights into the effective use of correlative analysis to enhance the development and manufacturing of CGT products.

Fields of Study & Subjects

Statistical Methods in Clinical Trials Biosimilars and Bioanalytical Methods Virus-based gene therapy research

Publication details

Journal / source
Journal of Biopharmaceutical Statistics
Pages
1–17
Publication date
26 February 2026
Language
EN