Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 580

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

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

Open access
Guedan, Sonia, Posey, Avery D., Shaw, Carolyn, Wing, Anna, Da, Tong, Patel, Prachi R., McGettigan, Shannon E., Casado-Medrano, Victoria, Kawalekar, Omkar U., Uribe-Herranz, Mireia, Song, Decheng, Melenhorst, J. Joseph, Lacey, Simon F., Scholler, John, Keith, Brian, Young, Regina M., June, Carl H.·2018·JCI Insight

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1172/jci.insight.96976

Cites

58 of 58 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 58 references

Cited by

See all 580

Metadata

Authors
Guedan, S., Posey, A. D., Shaw, C., Wing, A., Da, T., Patel, P. R., McGettigan, S. E., Casado-Medrano, V., Kawalekar, O. U., Uribe-Herranz, M., Song, D., Melenhorst, J. J., Lacey, S. F., Scholler, J., Keith, B., Young, R. M., & June, C. H.
Venue
JCI Insight
Published
2018-01-11
Volume
3
Issue
1
ISSN
2379-3708 (ISSN-L)
OpenAlex
W2783304290
Cited by
580
References
58
FWCI
21.49
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Enhancing CAR T cell persistence through ICOS and 4-1BB costimulation. https://app.cochat.ai/papers/10.1172/jci.insight.96976
The paper
Guedan, S., Posey, A. D., Shaw, C., Wing, A., Da, T., Patel, P. R., McGettigan, S. E., Casado-Medrano, V., Kawalekar, O. U., Uribe-Herranz, M., Song, D., Melenhorst, J. J., Lacey, S. F., Scholler, J., Keith, B., Young, R. M., & June, C. H. (2018). Enhancing CAR T cell persistence through ICOS and 4-1BB costimulation. JCI Insight. https://doi.org/10.1172/jci.insight.96976

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.