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T cells genetically engineered to overcome death signaling enhance adoptive cancer immunotherapy
Tori N. Yamamoto, … , Nicholas P. Restifo, Christopher A. Klebanoff
Tori N. Yamamoto, … , Nicholas P. Restifo, Christopher A. Klebanoff
Published January 29, 2019
Citation Information: J Clin Invest. 2019;129(4):1551-1565. https://doi.org/10.1172/JCI121491.
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Research Article Immunology Oncology Article has an altmetric score of 37

T cells genetically engineered to overcome death signaling enhance adoptive cancer immunotherapy

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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.

Authors

Tori N. Yamamoto, Ping-Hsien Lee, Suman K. Vodnala, Devikala Gurusamy, Rigel J. Kishton, Zhiya Yu, Arash Eidizadeh, Robert Eil, Jessica Fioravanti, Luca Gattinoni, James N. Kochenderfer, Terry J. Fry, Bulent Arman Aksoy, Jeffrey E. Hammerbacher, Anthony C. Cruz, Richard M. Siegel, Nicholas P. Restifo, Christopher A. Klebanoff

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Figure 1

Human TMEs overexpress the death-inducing ligand FASLG.

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Human TMEs overexpress the death-inducing ligand FASLG.
(A) A pan-cancer...
(A) A pan-cancer analysis of FASLG expression within the microenvironments of 26 different tumor types relative to matched normal tissues of origin. RNA-Seq data from 9330 human cancers and matched normal tissues were extracted from the TCGA and GTEx data sets. Definitions of cancer type abbreviations are shown in Supplemental Table 1. Statistical comparisons of expression between tumors and normal tissues were made using a Mann-Whitney U test with Bonferroni’s correction; ***P < 0.001, **P < 0.01, *P < 0.05. (B) Selected, pre-ranked GSEAs against all KEGG pathways of genes positively correlated to FASLG expression averaged across 26 TCGA histologies. Circle diameters reflect the number of genes identified within the GSEA signature sets. The nominal P and FDR q values for all displayed GSEAs were <0.001. (C) Pearson’s correlation of the top 200 genes to FASLG gene expression across 26 human cancer types in the TCGA database. Selected immune-related genes associated with the GSEA signature sets shown in B are identified. TNFRSF9 is also known as 4-1BB. Representative histogram (D) and summary plot of Fas MFI (E) on phenotypically defined CD8α+ T cell subsets. Data shown are from peripheral blood T cells from 47 patients and HDs. CD8α+ T cell subsets in D and E were defined as follows: TN cells, CD8α+CD45RA+CD45RO–CCR7+CD62L+CD27+CD28+Fas–; TCM, CD8α+CD45RO+CD45RA−CCR7+CD62L+; TEM, CD8α+CD45RO+CD45RA−CCR7−CD62L−; TEMRA, CD8α+CD45RA+CCR7–CD62L–. ***P < 0.001, 1-way ANOVA, corrected with Tukey’s multiple comparisons. max, maximum. (F) The fraction of TN among all CD8α+ T cells in the circulation of age-matched HDs (n = 39; left), and patients with melanoma (MEL; n = 20; middle) and DLBCL (n = 17; right) at the time of enrollment in an adoptive immunotherapy clinical trial. ***P < 0.001, 1-way ANOVA, corrected with Tukey’s multiple comparisons.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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