Abstract 3563: Impact of the affinity of chimeric antigen receptor on immune activation profiles of T cells
Bibliographic record
Abstract
Abstract Background: Chimeric antigen receptor (CAR) generally uses a single chain antibody fragment (scFv) of high affinity as an antigen-binding domain. Recent studies implied that T cells engineered with CAR (CAR T cells) of an extremely low affinity have the potential to reduce on-target off-tumor toxicity that is a serious side effect in CAR T cell therapy. Defining the relation of CAR affinity to immune activation profiles is important for understanding the nature of CAR T cells. Methods: We examined the functional variation of CAR T cells when stimulated with target antigens of various affinities. HLA-DR-specific MVR CAR T cells that were previously developed in our group were used in this study. Since MVR CAR recognizes HLA-DR, Epstein-Barr virus-transformed lymphoblastoid cell lines (EBV LCLs) which stably express HLA-DR, stimulated MVR CAR T cells. Importantly, owing to the broad spectrum of MVR CAR affinity against polymorphic epitope of HLA-DR, six different EBV LCLs each of which express unique HLA-DRs, stimulated MVR CAR T cells with different magnitude based on the binding affinities. Using the combination of MVR CAR T cells and six different EBV LCLs, we assessed the extent of effector functions and gene expression induced by different CAR affinity. Results: The cytolytic activity of MVR CAR T cells was correlated with the affinity between MVR CAR and HLA-DR. The induced polyfunctionality was highest in intermediate MVR CAR-target affinity and was decreased in weak and strong affinities. Gene expression analysis of the stimulated MVR CAR T cells identified a panel of genes of which the expression levels were correlated with CAR-target affinity. Gene ontology analysis revealed that the genes are mainly involved in a T cell activation pathway. Interestingly, we found that the genes involved in type I interferon signaling were upregulated following the stimulation with strong affinity antigens, while those expression levels were unchanged following the stimulation with weak and intermediate affinity antigens. Conclusions: Here we describe the affinity-associate functional variation of CAR T cells defined by the use of the combination of MVR CAR T cells and EBV LCLs of various affinities. Using those effector/target cell combinations, we investigated the relation between CAR-antigen affinity and the effector functions which include cytolytic activity and polyfunctionality. Furthermore, we identified that type I interferon signaling is a distinct characteristics of strong affinity-induced activation of CAR T cells. These effector/target cell combinations and the observations will help to understand the nature of CAR T cells. Citation Format: Chungyong Han, Seon-Hee Kim, Beom K. Choi, Byoung S. Kwon. Impact of the affinity of chimeric antigen receptor on immune activation profiles of T cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3563.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".