ArticleNature communications2026
AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Advancements in diagnosis and treatments of acute leukemia.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026Article
- Enhancing persistence while managing cytokine release syndrome to embrace next-generation CAR-T cell therapy.Journal of translational medicine · 2026Review
- Dual-module aCAR-iCAR NK cells for solid tumors: cascade resistance mechanisms, AI-driven engineering, and precision stratification.Frontiers in immunology · 2026Review
- The spatial revolution in immuno-oncology: artificial intelligence decoding NK cell niches to predict therapeutic response.Frontiers in immunology · 2026Review
- CAR-T cell signaling dynamics, rational design principles and artificial intelligence for next-generation chimeric antigen receptors.Frontiers in immunology · 2026Review
- Functional genomics-guided design of CAR-T and CAR-NK therapies in hematological malignancies: aligning cellular engineering with immune escape and microenvironmental resistance.Frontiers in genome editing · 2026Review
- The future directions of CAR-T Cell therapy: unlocking the potential of immunotherapy in cancer treatment.Frontiers in molecular medicine · 2026Review
- Anti-CD19 CAR T-cell therapy for autoimmune diseases: from exploratory clinical trials to quantitative pharmacodynamic modeling development.Frontiers in immunology · 2026Review
- Multi-antigen chimeric antigen receptor-T cell therapy for relapsed/refractory B cell lymphomas.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
32 authors.
Funding
Abstract
The persistence of CAR T cells and antigen escape remain major barriers to durable therapeutic success in hematologic malignancies. Our study integrates AI-guided design with targeted protein degradation to overcome these challenges. Utilizing an in-silico library of CAR constructs followed by an in vitro screening, we developed a predictive model, CARMSeD, which forecasts constructs prone to self-activation and dysfunction. Optimized bispecific CD20/CD19 CAR T cells demonstrate superior persistence and anti-tumor efficacy. To further improve durability, the platform incorporates a PROTAC-based module that selectively degrades AKT3, promoting FOXO4-driven mitochondrial fitness, central memory differentiation, and reduced mTOR signaling. We extended this strategy to develop a trispecific CAR T platform co-expressing a secretable CD3/CD22 bispecific engager, achieving potent tumor eradication even in CD19/CD20-negative malignancies demonstrates efficacy across patient-derived leukemia samples and solid tumor models. Together, our study introduces a next-generation AI-guided CAR T strategy that integrates structure-based optimization and intracellular modulation to improve persistence, broaden antigen coverage, and ensure durable therapeutic efficacy.
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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.