Lipid nanoparticles outperform electroporation in mRNA-based CAR T cell engineering
Why this work is in the frame
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Bibliographic record
Abstract
Engineered T cells expressing chimeric antigen receptors (CARs) have been proven as efficacious therapies against selected hematological malignancies. However, the approved CAR T cell therapeutics strictly rely on viral transduction, a time- and cost-intensive procedure with possible safety issues. Therefore, the direct transfer of in vitro transcribed CAR-mRNA into T cells is pursued as a promising strategy for CAR T cell engineering. Electroporation (EP) is currently used as mRNA delivery method for the generation of CAR T cells in clinical trials but achieving only poor anti-tumor responses. Here, lipid nanoparticles (LNPs) were examined for ex vivo CAR-mRNA delivery and compared with EP. LNP-CAR T cells showed a significantly prolonged efficacy in vitro in comparison with EP-CAR T cells as a result of extended CAR-mRNA persistence and CAR expression, attributed to a different delivery mechanism with less cytotoxicity and slower CAR T cell proliferation. Moreover, CAR expression and in vitro functionality of mRNA-LNP-derived CAR T cells were comparable to stably transduced CAR T cells but were less exhausted. These results show that LNPs outperform EP and underline the great potential of mRNA-LNP delivery for ex vivo CAR T cell modification as next-generation transient approach for clinical studies.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it