CAR-T(CAR-T)细胞疗法在非肿瘤性疾病中的应用
Chimeric antigen receptor T (CAR-T) cell therapy in non-oncological diseases.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:An adjusted droplet digital PCR assay for quantification of vector copy number in CAR-T cell and TCR-T cell products.
An adjusted droplet digital PCR assay for quantification of vector copy number in CAR-T cell and TCR-T cell products.
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我们提出一种可靠且稳健的基于 ddPCR 的检测方法,用于定量基因工程化细胞产品中的 VCN。
基因工程化T细胞疗法在癌症免疫治疗中前景广阔。这类T细胞产品通常通过载体将遗传物质永久整合至T细胞基因组,因此存在潜在插入突变风险。故评估整合载体拷贝数(VCN)是基因工程细胞产品的一项关键安全指标。
本研究基于微滴数字PCR(ddPCR)建立可靠检测方法,用于测定CAR-T 细胞及T细胞受体T细胞产品的VCN。为准确反映基因工程化细胞的VCN,研究者依据泊松分布统计纳入推定转导效率进行计算,并将校正后的VCN值(VCNadj)与分选的转基因阳性细胞群体VCN进行比较,以验证准确性。
该方法能够稳定、准确测定细胞产品的平均VCN。通过与分选的转基因阳性细胞群体VCN比较,验证了修正计算可更接近转导细胞内实际VCN,从而更真实地反映工程化细胞产品的VCN。
本研究建立了一种可靠、稳健的ddPCR检测法,可定量测定基因工程细胞产品的VCN。
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 adj ) 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.
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