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

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.

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Publication Details

Journal
Journal of Biopharmaceutical Statistics
Published
2026-02-26
DOI
https://doi.org/10.1080/10543406.2026.2627384
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
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article

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

Tzu-min Yeh, Bill Pikounis, Alan Y. Chiang, Sangwook Choi et al.
Journal of Biopharmaceutical Statistics
Statistical Methods in Clinical Trials
article

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

Tzu-min Yeh, Bill Pikounis, Alan Y. Chiang, Sangwook Choi, Tianjiao Dai, Catherine Cheng
article en

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.

Journal of Biopharmaceutical Statistics
Bristol-Myers Squibb (Germany) (DE), Novartis (China) (CN), Lyell Immunopharma (United States) (US), Johnson & Johnson (Israel) (IL)
Openalex Percentile: Top 45%
Statistical Methods in Clinical Trials
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