{"title":"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","authors":"J. Ma , S. Meyer , J. Olweus , C. Jin , D. Yu","doi":"10.1016/j.iotech.2024.101031","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Materials and methods</h3><div>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<sub>adj</sub>) was also compared with VCN value from sorted transgene-positive cell populations, to validate its accuracy.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>In summary, we present a reliable and robust ddPCR-based assay for quantification of VCN in gene-engineered cell products.</div></div>","PeriodicalId":73352,"journal":{"name":"Immuno-oncology technology","volume":"25 ","pages":"Article 101031"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An adjusted droplet digital PCR assay for quantification of vector copy number in CAR-T cell and TCR-T cell products\",\"authors\":\"J. Ma , S. Meyer , J. Olweus , C. Jin , D. Yu\",\"doi\":\"10.1016/j.iotech.2024.101031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>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.</div></div><div><h3>Materials and methods</h3><div>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<sub>adj</sub>) was also compared with VCN value from sorted transgene-positive cell populations, to validate its accuracy.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>In summary, we present a reliable and robust ddPCR-based assay for quantification of VCN in gene-engineered cell products.</div></div>\",\"PeriodicalId\":73352,\"journal\":{\"name\":\"Immuno-oncology technology\",\"volume\":\"25 \",\"pages\":\"Article 101031\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Immuno-oncology technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590018824003289\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Immuno-oncology technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590018824003289","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.