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Usage Information

Enhancing CAR T cell persistence through ICOS and 4-1BB costimulation
Sonia Guedan, … , Regina M. Young, Carl H. June
Sonia Guedan, … , Regina M. Young, Carl H. June
Published January 11, 2018
Citation Information: JCI Insight. 2018;3(1):e96976. https://doi.org/10.1172/jci.insight.96976.
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Research Article Immunology

Enhancing CAR T cell persistence through ICOS and 4-1BB costimulation

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Abstract

Successful tumor eradication by chimeric antigen receptor–expressing (CAR-expressing) T lymphocytes depends on CAR T cell persistence and effector function. We hypothesized that CD4+ and CD8+ T cells may exhibit distinct persistence and effector phenotypes, depending on the identity of specific intracellular signaling domains (ICDs) used to generate the CAR. First, we demonstrate that the ICOS ICD dramatically enhanced the in vivo persistence of CAR-expressing CD4+ T cells that, in turn, increased the persistence of CD8+ T cells expressing either CD28- or 4-1BB–based CARs. These data indicate that persistence of CD8+ T cells was highly dependent on a helper effect provided by the ICD used to redirect CD4+ T cells. Second, we discovered that combining ICOS and 4-1BB ICDs in a third-generation CAR displayed superior antitumor effects and increased persistence in vivo. Interestingly, we found that the membrane-proximal ICD displayed a dominant effect over the distal domain in third-generation CARs. The optimal antitumor and persistence benefits observed in third-generation ICOSBBz CAR T cells required the ICOS ICD to be positioned proximal to the cell membrane and linked to the ICOS transmembrane domain. Thus, CARs with ICOS and 4-1BB ICD demonstrate increased efficacy in solid tumor models over our current 4-1BB–based CAR and are promising therapeutics for clinical testing.

Authors

Sonia Guedan, Avery D. Posey Jr., Carolyn Shaw, Anna Wing, Tong Da, Prachi R. Patel, Shannon E. McGettigan, Victoria Casado-Medrano, Omkar U. Kawalekar, Mireia Uribe-Herranz, Decheng Song, J. Joseph Melenhorst, Simon F. Lacey, John Scholler, Brian Keith, Regina M. Young, Carl H. June

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Usage data is cumulative from October 2022 through October 2023.

Usage JCI PMC
Text version 2,303 1,413
PDF 285 401
Figure 485 19
Supplemental data 38 30
Citation downloads 68 0
Totals 3,179 1,863
Total Views 5,042
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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