Enhancing the antitumor response of CD8+ T cells by 4-1BB (CD137) co-stimulation with distinct inactivation of the type 2 adenosine receptors.
Bibliographic record
Abstract
Abstract Activating the immune co-stimulatory receptor 4-1BB (CD137) with agonist antibody binding and crosslinking-inducing agents that elicit 4-1BB intracellular signaling potentiates the anti-tumor responses of CD8+ T cells. However, the underlying in-depth mechanisms remain to be defined. The type 2 adenosine receptors (primarily the high affinity receptor, A2AR) predominantly expressed on CD8+ T cells inhibit T cell activation and expansion by blocking TCR signaling in a cAMP-dependent manner. Here, we show that inactivation of the low affinity receptor A2BR rather than A2AR by continuous treatment of antagonists and/or genetic deletion induces superior survival advantage of effector CD8+ T cells with agonistic 4-1BB co-stimulation especially upon chronic TCR stimulation and/or long-term antigen exposure. Mechanistically, A2BR inactivation helps sustain the increased energy and biosynthetic requirements through the accumulation of intracellular glutathione (GSH) in response to agonistic 4-1BB co-stimulation. Importantly, A2BR inactivation in combination with agonistic 4-1BB co-stimulation displays a greater ability to modulate mitochondrial fitness for anti-tumor CD8+ T cell expansion while minimize T cell exhaustion. Thus, the A2BR pathway plays an unexpected role in metabolic reprogramming of GSH upon agonistic 4-1BB co-stimulation that allows the fine-tuning of the anti-tumor responses of CD8+ T cells. Supported by NCI CCSG P30 CA060553 R01CA258857
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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 | 0.001 |
| 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, 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".