ArticleCell systems2020
Discriminatory Power of Combinatorial Antigen Recognition in Cancer T Cell Therapies.
Article in Cell systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
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.
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Who cites it
67 citing papers in PubMed.
- B Cell Aplasia Following CAR T Cell Therapy: Incidence, Kinetics, Prognostic Implications, and Clinical Management.Cancers · 2026Review
- CAR T cell therapy beyond cancer: current status, challenges and future prospects.Signal transduction and targeted therapy · 2026Review
- Bispecific CAR T and CAR NK cells in dual-threat immunotherapy: opportunities and challenges.Molecular biology reports · 2026Review
- Spatial Regulation of CAR Signaling Enables Logic-Gated Activity.bioRxiv : the preprint server for biology · 2026Article
- CRISPR-Cas9 engineering of CAR-T cells: Can non-viral nanoparticles unlock safer and scalable genome editing?iScience · 2026Review
- Review
- NOT-gated chimeric antigen receptor circuits in T and NK cells.Cell systems · 2026Article
- DNA-drug conjugates enable logic-gated drug delivery amplified by hybridization chain reactions.Nature biotechnology · 2026Article
- In vivo chimeric antigen receptor (CAR)-T cell therapy.Nature reviews. Drug discovery · 2026Review
- Navigating the landscape of personalized oncology: overcoming challenges and expanding horizons with computational modeling.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Advancing breast cancer treatment through dual targeting CAR T cell therapy.Discover oncology · 2025Review
- Programmable protein ligation on cell surfaces.Nature · 2025Article
- Constructing the cure: engineering the next wave of antibody and cellular immune therapies.Journal for immunotherapy of cancer · 2025Review
- Pattern recognition in living cells through the lens of machine learning.Open biology · 2025Review
- Engineered SH3-Derived Sherpabodies Function as a Modular Platform for Targeted T-cell Immunotherapy.Cancer research · 2025Article
- Article
- Single-cell-guided identification of logic-gated antigen combinations for designing effective and safe CAR therapy.bioRxiv : the preprint server for biology · 2025Article
- ImmunoTar-integrative prioritization of cell surface targets for cancer immunotherapy.Bioinformatics (Oxford, England) · 2025Article
- SynNotch CAR-T cell, when synthetic biology and immunology meet again.Frontiers in immunology · 2025Review
- Integrated multi-optosis model for pan-cancer candidate biomarker and therapy target discovery.Frontiers in bioinformatics · 2025Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Precise discrimination of tumor from normal tissues remains a major roadblock for therapeutic efficacy of chimeric antigen receptor (CAR) T cells. Here, we perform a comprehensive in silico screen to identify multi-antigen signatures that improve tumor discrimination by CAR T cells engineered to integrate multiple antigen inputs via Boolean logic, e.g., AND and NOT. We screen >2.5 million dual antigens and ∼60 million triple antigens across 33 tumor types and 34 normal tissues. We find that dual antigens significantly outperform the best single clinically investigated CAR targets and confirm key predictions experimentally. Further, we identify antigen triplets that are predicted to show close to ideal tumor-versus-normal tissue discrimination for several tumor types. This work demonstrates the potential of 2- to 3-antigen Boolean logic gates for improving tumor discrimination by CAR T cell therapies. Our predictions are available on an interactive web server resource (antigen.princeton.edu).
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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.