Ma J, Meyer S, Olweus J, Jin C, Yu D
Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Elicera Therapeutics AB, Gothenburg, Sweden.
Immunooncol Technol. 2024 Dec 4;25:101031. doi: 10.1016/j.iotech.2024.101031. eCollection 2025 Mar.
Genetically engineered T-cell therapy holds immense promise in cancer immunotherapy. These T-cell products are typically engineered by vectors that permanently integrate into the T-cell genome, thus raising concerns about potential risks of insertional mutagenesis. Therefore, it becomes imperative to assess the integrated vector copy number (VCN) as a critical safety parameter for gene-engineered cell products.
In this study, we developed a robust assay for assessing the VCN of chimeric antigen receptor-T cell and T-cell receptor T-cell products, based on the droplet digital polymerase chain reaction (ddPCR) method. To provide accurate representation of the VCN in gene-engineered cells, we implemented a calculation that factors in the putative transduction efficiency based on Poisson distribution statistics. The adjusted VCN value (VCN) was also compared with VCN value from sorted transgene-positive cell populations, to validate its accuracy.
This assay consistently and accurately determines the average VCN for cell products. By comparing the VCN in sorted transgene-positive cell populations, we validated the refinement calculation provides a closer approximation to the actual VCN within transduced cells, offering a more realistic representation of the VCN for engineered cell products.
In summary, we present a reliable and robust ddPCR-based assay for quantification of VCN in gene-engineered cell products.
基因工程T细胞疗法在癌症免疫治疗中具有巨大潜力。这些T细胞产品通常由永久整合到T细胞基因组中的载体进行工程改造,因此引发了对插入诱变潜在风险的担忧。因此,评估整合载体拷贝数(VCN)作为基因工程细胞产品的关键安全参数变得势在必行。
在本研究中,我们基于液滴数字聚合酶链反应(ddPCR)方法开发了一种用于评估嵌合抗原受体T细胞和T细胞受体T细胞产品VCN的强大检测方法。为了准确表示基因工程细胞中的VCN,我们实施了一种基于泊松分布统计考虑推定转导效率的计算方法。还将调整后的VCN值(VCN)与分选的转基因阳性细胞群体的VCN值进行比较,以验证其准确性。
该检测方法能够一致且准确地确定细胞产品的平均VCN。通过比较分选的转基因阳性细胞群体中的VCN,我们验证了改进后的计算方法能更接近转导细胞内的实际VCN,为工程细胞产品的VCN提供了更真实的表示。
总之,我们提出了一种基于ddPCR的可靠且强大的检测方法,用于定量基因工程细胞产品中的VCN。