Evidence map›Paper›PMID 31548346›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2019

Multispecific Targeting with Synthetic Ankyrin Repeat Motif Chimeric Antigen Receptors.

Ashwini Balakrishnan, Anusha Rajan, Alexander I Salter, Paula L Kosasih, Qian Wu, Jenna Voutsinas, Michael C Jensen, Andreas Plückthun, Stanley R Riddell

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 55 citations in OpenAlex.

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  9. The physical landscape of CAR-T synapse.Biophysical journal · 2024
    Review
  10. Review
  11. Review
  12. Synthetic Gene Circuits for Regulation of Next-Generation Cell-Based Therapeutics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Ashwini Balakrishnan *Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Anusha Rajan *Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Alexander I SalterClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0003-3820-0895
Paula L KosasihClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Qian WuClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Jenna VoutsinasClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Michael C JensenUniversity of Washington, Seattle, Washington.
Andreas PlückthunDepartment of Biochemistry, University of Zurich, Zurich, Switzerland.ORCID 0000-0003-4191-5306
Stanley R RiddellClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington. sriddell@fredhutch.org.
Fred Hutch Cancer Center · USUniversity of Washington · USUniversity of Zurich · CH

Funding

University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
Targeted immunotherapy of breast cancer with central memory T cellsP50CA138293 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PORTER, PEGGY L. · 2010 to 2014
$11.0M
TARGETING ROR1 WITH CHIMERIC ANTIGEN RECEPTOR MODIFIED T CELLSR01CA114536 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Sylvain Simon · 2005 to 2026
$8.4M
Targeted therapy of B cell malignances with CAR-T cells of defined compositionR01CA136551 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI JENSEN, MICHAEL C, RIDDELL, STANLEY R. · 2009 to 2018
$5.5M
NCI NIH HHS P50 CA138293NCI NIH HHS R01 CA114536NCI NIH HHS R01 CA136551NIGMS NIH HHS T32 GM007266
6 · The paper itself

Abstract

purposeThe outgrowth of antigen-negative variants is a significant challenge for adoptive therapy with T cells that target a single specificity. Chimeric antigen receptors (CAR) are typically designed with one or two scFvs that impart antigen specificity fused to activation and costimulation domains of T-cell signaling molecules. We designed and evaluated the function of CARs with up to three specificities for overcoming tumor escape using Designed Ankyrin Repeat Proteins (DARPins) rather than scFvs for tumor recognition. EXPERIMENTAL

designA monospecific CAR was designed with a DARPin binder (E01) specific for EGFR and compared with a CAR designed using an anti-EGFR scFv. CAR constructs in which DARPins specific for EGFR, EpCAM, and HER2 were linked together in a single CAR were then designed and optimized to achieve multispecific tumor recognition. The efficacy of CAR-T cells bearing a multispecific DARPin CAR for treating tumors with heterogeneous antigen expression was evaluated

resultsThe monospecific anti-EGFR E01 DARPin conferred potent tumor regression against EGFR

conclusionsDARPins can serve as high-affinity recognition motifs for CAR design, and their robust architecture enables linking of multiple binders against different antigens to achieve functional synergy and reduce antigen escape.

Indexed as

Ankyrin RepeatAmino Acid MotifsAnimalsCell Line, TumorFemaleHumansImmunotherapy, AdoptiveMice, Inbred NODMice, SCIDNeoplasmsReceptors, Antigen, T-CellReceptors, Chimeric AntigenSignal TransductionT-LymphocytesTumor EscapeXenograft Model Antitumor AssaysReceptors, Antigen, T-CellReceptors, Chimeric Antigen

Identifiers

PMID31548346
PMCPMC6940018
OpenAlexW2976820106

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.