Targeting PRC2 Enhances the Cytotoxic Capacity of Anti-CD19 CAR T Cells against Hematologic Malignancies
Bibliographic record
Abstract
Chimeric antigen receptor (CAR) T-cell therapy is increasingly being adopted as a clinical modality for patients with relapsed/refractory hematologic malignancies. Despite the clinical efficacy of CAR T-cell therapy, a considerable fraction of patients still relapse during the first months following CAR T-cell infusion. The limited CAR T-cell efficiency is thought to relate to epigenetic mechanisms involved in T-cell suppression and dysfunction. In this study, screening of multiple epigenetic inhibitors revealed that targeting polycomb repressive complex 2 (PRC2) consistently induced the development of granzyme B+ effector memory CD8 T cells. Notably, PRC2 inhibition also promoted the long-term persistence of granzyme B+ effector memory 19BBζ CAR T cells and enhanced sustainably their antitumor activity both in vitro and in vivo. Consistent with their long-lasting antitumor activity, PRC2-inhibited 19BBζ CAR T cells did not exhibit signs of exhaustion over time. Furthermore, TCR restimulation along with PRC2 inhibition promoted the differentiation of patient-derived anti-CD19 effector memory CAR T cells with enhanced cytotoxic features and elicited potent antitumor responses. In line with this, the gene signature derived from in-house PRC2-inhibited 19BBζ CAR T cells was enriched in tisagenlecleucel BBζ CAR T-cell therapy responders with large B-cell lymphoma. Collectively, our results demonstrated that targeting PRC2 may be a promising approach to enhance a functional effector program in CAR T cells against hematologic malignancies. SIGNIFICANCE: Selective inhibition of PRC2 endows 19BBζ CAR T cells with cytotoxic and effector memory features that are associated with improved antitumor activity and better response to CAR T-cell therapy.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | high |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | high |
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) | 0.001 | 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".