Deciphering the importance of culture pH on CD22 CAR T-cells characteristics

作者
Michaela Procházková,Alexandra Dreyzin,Lipei Shao,P Arazo Garcés,Yihua Cai,Rongye Shi,Alejandra Pelayo,Yong Soo Kim,Victoria Pham,Sue Ellen Frodigh,Shannon Fenton,Catherine Karangwa,Yan Su,Kathryn Martin,Nan Zhang,Steven Lorenz Highfill,Robert P. T. Somerville,Nirali N. Shah,David F. Stroncek,Ping Jin
出处
期刊:Journal of Translational Medicine [BioMed Central]
卷期号:22 (1): 384-384 被引量:8
标识
DOI:10.1186/s12967-024-05197-5
摘要

BACKGROUND: Chimeric antigen receptor (CAR) T-cells have demonstrated significant efficacy in targeting hematological malignancies, and their use continues to expand. Despite substantial efforts spent on the optimization of protocols for CAR T-cell manufacturing, critical parameters of cell culture such as pH or oxygenation are rarely actively monitored during cGMP CAR T-cell generation. A comprehensive understanding of the role that these factors play in manufacturing may help in optimizing patient-specific CAR T-cell therapy with maximum benefits and minimal toxicity. METHODS: This retrospective study examined cell culture supernatants from the manufacture of CAR T-cells for 20 patients with B-cell malignancies enrolled in a phase 1/2 clinical trial of anti-CD22 CAR T-cells. MetaFLEX was used to measure supernatant pH, oxygenation, and metabolites, and a Bio-Plex assay was used to assess protein levels. Correlations were assessed between the pH of cell culture media throughout manufacturing and cell proliferation as well as clinical outcomes. Next-generation sequencing was conducted to examine gene expression profiles of the final CAR T-cell products. RESULTS: A pH level at the lower range of normal at the beginning of the manufacturing process significantly correlated with measures of T-cell expansion and metabolism. Stable or rising pH during the manufacturing process was associated with clinical response, whereas a drop in pH was associated with non-response. CONCLUSIONS: pH has potential to serve as an informative factor in predicting CAR T-cell quality and clinical outcomes. Thus, its active monitoring during manufacturing may ensure a more effective CAR T-cell product.

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