一种用于CAR-T细胞和TCR-T细胞产物中载体拷贝数定量的调整液滴数字PCR方法

J. Ma , S. Meyer , J. Olweus , C. Jin , D. Yu
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引用次数: 0

摘要

基因工程t细胞疗法在癌症免疫治疗中具有巨大的前景。这些t细胞产物通常是由永久整合到t细胞基因组中的载体设计的,因此引起了对插入突变的潜在风险的担忧。因此,将整合载体拷贝数(VCN)作为基因工程细胞产品的重要安全参数进行评估势在必行。材料和方法在本研究中,我们基于液滴数字聚合酶链反应(ddPCR)方法,建立了一种评估嵌合抗原受体- t细胞和t细胞受体- t细胞产物VCN的可靠方法。为了提供基因工程细胞中VCN的准确表示,我们实施了一个基于泊松分布统计的假设转导效率因素的计算。将调整后的VCN值(VCNadj)与转基因阳性细胞群的VCN值进行比较,验证其准确性。结果本方法能准确、一致地测定细胞产物的平均VCN。通过比较已分类的转基因阳性细胞群体中的VCN,我们验证了精细化计算更接近转导细胞内的实际VCN,为工程细胞产品提供了更真实的VCN表示。总之,我们提出了一种可靠且稳健的基于ddpcr的基因工程细胞产物VCN定量分析方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An adjusted droplet digital PCR assay for quantification of vector copy number in CAR-T cell and TCR-T cell products

Background

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.

Materials and methods

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 (VCNadj) was also compared with VCN value from sorted transgene-positive cell populations, to validate its accuracy.

Results

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.

Conclusion

In summary, we present a reliable and robust ddPCR-based assay for quantification of VCN in gene-engineered cell products.
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CiteScore
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