Abstract 1696: Glycogen synthase kinase (GSK-3) inactivation downregulates PD-1 and synergizes with PD-1/PL1 and CTLA-4 blockade in cancer immunotherapy
Bibliographic record
Abstract
Abstract Immune checkpoint blockade (ICB) of negative co-receptors on T-cells such as cytotoxic T-cell antigen-4 (CTLA-4) and programmed cell death-1 (PD-1) is a promising approach for the treatment of cancer. Despite this success, the poor prognosis for most patients continues to highlight a need for developing novel clinical interventions. In this context, we identified the enzyme glycogen synthase kinase-3 (GSK-3) as the major regulator of PD-1 expression on T-cells (Taylor et al., 2016 Immunity). We have shown that small molecule inhibitors (SMIs) of GSK-3 are as effective as anti-PD-1 in controlling the growth of B16 melanoma, or EL4 lymphoma, in primary tumor and metastatic settings (Taylor et al., 2017 Can Res; Krueger and Rudd, Immunity 2017). At the same time, the fact that GSK-3 inactivation up-regulates transcription factor T-bet which upregulates interferon gamma (IFNγ) and granzyme B (GZMB) suggested that GSK-3 inactivation might provide extra value beyond of its down-regulation of PD-1. Here, we show that GSK-3 SMIs can synergize with anti-PD-1 and anti-CTLA-4 to eliminate B16 solid tumors that are otherwise resistant to anti-PD-1, or anti-CTLA-4 inhibition alone. At a cellular level, GSK-3 inactivation preferentially down-regulated PD-1 on CD8+ tumor infiltrating T-cells, while at a molecular level, GSK-3 SMIs inhibited PD-1 transcription, increased granzyme B (GZMB)/ interferon-gamma1 (IFNγ) transcription and directly acted upon glycogen synthase to skew metabolism towards greater glycolysis. We further showed that the inactivation of GSK-3α/β through siRNA or by SMIs substituted for CD28 co-stimulation in the potentiation of cytotoxic CD8+ CTL function. This data supports a model where GSK-3 mediates the dependency of anti-PD-1 immunotherapy on the expression of CD28. Overall, our data show that GSK-3 inactivation is an immune-sensitizer which assists the immune system to overcome tumor resistance to immune check-point blockade. Citation Format: Christopher E. Rudd. Glycogen synthase kinase (GSK-3) inactivation downregulates PD-1 and synergizes with PD-1/PL1 and CTLA-4 blockade in cancer immunotherapy [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 1696.
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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) | 0.005 | 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".