Abstract B028: WEE1 inhibition enhances the antitumor immune response to PD-L1 blockade by the concomitant activation of STING and STAT1 pathways in small cell lung cancer
Bibliographic record
Abstract
Abstract Background: Small cell lung cancer (SCLC) is a poorly immunogenic, high-grade neuroendocrine carcinoma arising in the lung. Immune checkpoint blockade (ICB) added to chemotherapy is now the standard upfront therapy for SCLC but leads to a modest increase in overall survival and progression-free survival. These modest benefits underscore the critical need to identify pathways and targets that can durably enhance the antitumor responses of ICB in SCLC. SCLC is characterized by a ubiquitous loss of TP53 which disrupts the G1-S cell cycle checkpoint and as a result, most SCLC is dependent on G2-M cell cycle checkpoint regulators including WEE1. We and others have shown that DNA damage response (DDR) components are overexpressed in SCLC and targeting DDR could be an effective therapeutic strategy in SCLC. Methods: In this study, we have performed WEE1 inhibition either alone or in combination with PD-L1 blockade in a panel of SCLC models. Results: We demonstrate that inhibition of WEE1 induces G2/M cell cycle arrest, DNA damage, and cytosolic DNA accumulation in SCLC models. We further show that WEE1 targeting activates the STING-TBK1-IRF3 pathway which increases type I interferons (IFN-α and IFN-β) and pro-inflammatory chemokines (CXCL10 and CCL5), facilitating an immune response via CD8+ cytotoxic T-cell infiltration. We further show that WEE1 inhibition concomitantly activates the STAT1 pathway, increasing IFN-γ and PD-L1 expression. Consistent with these findings, combined WEE1 inhibition (AZD1775) and PD-L1 blockade caused remarkable tumor regression, activation of type I and II interferon pathways, and infiltration of cytotoxic T-cells in multiple immunocompetent SCLC genetically engineered mouse models, including an aggressive model with stabilized MYC. Conclusions: Our study demonstrates the cell-autonomous and immune-stimulating activity of WEE1 inhibition in SCLC. Given the increasing importance of immunotherapy for the management of SCLC and that WEE1 inhibitors are already in clinical trials, combining a WEE1 inhibitor with PD-L1 blockade may offer a particularly attractive strategy for the treatment of SCLC and contribute to the rapid translation of this combination into the clinic. Citation Format: Triparna Sen. WEE1 inhibition enhances the antitumor immune response to PD-L1 blockade by the concomitant activation of STING and STAT1 pathways in small cell lung cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2023 Oct 1-4; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2023;11(12 Suppl):Abstract nr B028.
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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) | 0.004 | 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".