Abstract 6812: Durable control of brain tumors by glioma inhibitory macrophages and IL33
Bibliographic record
Abstract
Abstract Glioblastoma is the most common and deadly form of brain cancer. Even with aggressive treatment including surgery, chemotherapy, and radiotherapy, survival outcomes for newly diagnosed glioblastoma patients remains less than two years. Novel high throughput omics technologies have expanded our understanding of the role of innate immune system in brain tumors, that are generally believed to drive glioma progression and enable evasion of the adaptive immune system. However, targeting of this axis in the clinic remains an unmet opportunity. Previously, we discovered that the dual-function (secreted and nuclear) cytokine IL-33 is a crucial regulator of the inflammatory microenvironment that promotes glioma tumorigenesis through phenotypic and functional changes in the innate immune cell repertoire. Strikingly, when IL-33 is prevented from entering the nucleus, by deletion of its nuclear localization sequence (ΔNLS IL-33), but is still secreted, in vivo tumor growth is dramatically inhibited resulting in prolonged long-term survival. Using multiplex immunohistochemistry and spatial transcriptomics with temporal resolution across different stages of tumor progression, we identified a population of glioma-inhibitory macrophages (GIMs) unique to this suppressive environment. Assessment of GIMs in xenografts generated from patient brain tumor initiating cells found an enriched presence of these cells in xenografts with long-term survival (greater than 300 days) versus short-term survival (less than 100 days). The ability of GIMs to inhibit glioma progression was demonstrated when tumors established using a combination of ΔNLS IL-33 expressing cancer cells together with highly tumorigenic cells resulted in a growth inhibitory environment that significantly extended survival. A deeper molecular characterization of this phenotype and development of clinical strategies are currently underway. Citation Format: Shyam V. Menon, Xueqing Lun, Peipei Zeng, Jianbo Zhang, Bo Young Ahn, Henry Yu, Alisha Poole, Ngoc Ha Dang, Katalin Osz, Jennifer A. Chan, Daniela F. Quail, Stephen M. Robbins, Donna L. Senger. Durable control of brain tumors by glioma inhibitory macrophages and IL33 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6812.
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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".