| Literature DB >> 30694219 |
Tori N Yamamoto1,2,3, Ping-Hsien Lee1,2, Suman K Vodnala1,2, Devikala Gurusamy1,2, Rigel J Kishton1,2, Zhiya Yu1,2, Arash Eidizadeh1,2, Robert Eil4, Jessica Fioravanti5, Luca Gattinoni5, James N Kochenderfer5, Terry J Fry6, Bulent Arman Aksoy7, Jeffrey E Hammerbacher7, Anthony C Cruz8, Richard M Siegel8, Nicholas P Restifo1,2,3, Christopher A Klebanoff9,10,11.
Abstract
Across clinical trials, T cell expansion and persistence following adoptive cell transfer (ACT) have correlated with superior patient outcomes. Herein, we undertook a pan-cancer analysis to identify actionable ligand-receptor pairs capable of compromising T cell durability following ACT. We discovered that FASLG, the gene encoding the apoptosis-inducing ligand FasL, is overexpressed within the majority of human tumor microenvironments (TMEs). Further, we uncovered that Fas, the receptor for FasL, is highly expressed on patient-derived T cells used for clinical ACT. We hypothesized that a cognate Fas-FasL interaction within the TME might limit both T cell persistence and antitumor efficacy. We discovered that genetic engineering of Fas variants impaired in the ability to bind FADD functioned as dominant negative receptors (DNRs), preventing FasL-induced apoptosis in Fas-competent T cells. T cells coengineered with a Fas DNR and either a T cell receptor or chimeric antigen receptor exhibited enhanced persistence following ACT, resulting in superior antitumor efficacy against established solid and hematologic cancers. Despite increased longevity, Fas DNR-engineered T cells did not undergo aberrant expansion or mediate autoimmunity. Thus, T cell-intrinsic disruption of Fas signaling through genetic engineering represents a potentially universal strategy to enhance ACT efficacy across a broad range of human malignancies.Entities:
Keywords: Cancer gene therapy; Cancer immunotherapy; Immunology; Oncology
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Year: 2019 PMID: 30694219 PMCID: PMC6436880 DOI: 10.1172/JCI121491
Source DB: PubMed Journal: J Clin Invest ISSN: 0021-9738 Impact factor: 14.808