Toll-like Receptor-9 Agonist Reverses T Cell Exhaustion in a Murine Model of Pediatric B-ALL
Bibliographic record
Abstract
Despite significant treatment advances, the poor long-term prognosis for children with relapsed/refractory B-cell acute lymphoblastic leukemia (B-ALL) persists. The application of immune cell-based therapies, such as chimeric antigen receptor-expressing T cells and bispecific T-cell engagers, has improved progression-free survival for many B-ALL patients. However, the majority of these patients still experience disease relapse. An improved understanding of the mechanisms that impair T cell function in B-ALL patients could inform strategies to further improve outcomes. Recent studies have revealed T cell exhaustion, especially as indicated by PD-1 and Tim- 3 expression, to be predictive of disease relapse and overall survival in B-ALL. However, the precise contribution of T cell dysfunction to B-ALL development remains unclear. In this study, we explore the biology that leads to impaired T cell function and investigate potential approaches to restore it using both transgene-driven and syngeneic leukemia cell transplant models of B-ALL. First, we used the Emu-Ret transgenic mouse model of hyperdiploid B-ALL to investigate the induction of exhaustion-associated marker expression (PD-1, CTLA-4 and Tim-3) on CD4 and CD8 T cells. Longitudinal analysis of marker expression in various settings revealed that an upregulation of PD-1 and Tim-3, but not CTLA-4, on T cells occurred only in the presence of leukemia cells, not during the extended, nascent preleukemia phase. This suggests that T cell exhaustion occurs exclusively during the established malignancy phase, highlighting the dynamic nature of T cell responses as disease progresses. Next, B-ALL cells from moribund Emu-Ret mice were transplanted into 4-6-week-old wild type BALB/c mice and markers of T cell exhaustion were measured as disease progressed. Expression of PD-1 and Tim-3 on T cells correlated with disease progression. Notably, a significant increase in these markers was already detectable at low leukemia burden. These results indicate that T cell exhaustion is not simply a reflection of high disease burden and confirm the differing abilities of preleukemic and leukemic cells to affect T cell phenotype. Previously, we have demonstrated the ability of toll-like receptor (TLR) ligands to induce immune control over B-ALL cells. Thus, we investigated the impact of CpG oligodeoxynucleotides (CpG ODN), a ligand for TLR-9, on B-ALL depletion and T cell dysfunction. The treatment of leukemia bearing mice with CpG ODN led to a decrease in PD-1 and Tim-3 expression on T cells, which was also associated with a reduction in leukemia burden. We are currently investigating the functional implications of these expression changes using in vitro assays of T cell proliferation, cytokine production, and cytotoxicity. Additionally, we are also assessing if anti-tumour control by T cells can be revived in vivo, by comparing B-ALL progression and mouse survival after administration of antibodies against exhaustion markers, with or without CpG ODNs as adjuvant therapy. Overall, this study reveals that the functional impact of interactions between B-ALL cells and the immune system evolves during leukemia development. These insights could inform therapeutic strategies to overcome B-ALL immune evasion mechanisms and enhance patient outcomes.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".