ArticleiScience2026
Tunable universal OR-gated CAR T cells for AML.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
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Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Acute myeloid leukemia (AML) is characterized by antigen heterogeneity and poor prognosis. Here, to tackle the heterogeneity of AML, we combined FLT3 with CD33 in a combinatorial OR-gate approach using our split, universal, programmable (SUPRA) chimeric antigen receptor (CAR) platform. The split platform affords tunability over activation levels and multiplexed targeting. We characterized the specificity and sensitivity of different SUPRA CAR adapters for each target across a panel of target cell lines. Our results demonstrate that this CAR system can effectively target two antigens with equivalent efficacy to conventional CARs while reducing the engineering burden of designing CAR T cells against multiple antigens. Furthermore, we can characterize an effective dose range where off-target cytotoxicity against hematopoietic stem and progenitor cells is minimized. Our SUPRA OR gate has the potential to provide an effective and safer solution to treating AML.
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What OpenQuestion holds
Registered trials
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.