ME-03 * BONE MARROW DERIVED MICROGLIA AND THEIR FUNCTION WITHIN TUMOR MICROENVIRONMENT
Bibliographic record
Abstract
We have previously demonstrated that BMDC are recruited to Glioblastoma Multiforme (GBM), in a highly tumor-growth and region-dependent pattern, demonstrating that the majority of BMDCs differentiate into inflammatory cells, MAC3 + , and CD11b+ IBA1+ microglia-like cells. The majority of microglia seen in GBM microenvironment are derived from the BMDC rather than being resident brain microglia. The role of microglial cells in GBMs remains unknown, with evidence supporting both an anti- and pro- tumorgenic function. In this study we aimed to understand the contribution of microglia to GBM growth and tumor vascularity. Chimeric mice with reconstituted green-fluorescent bone marrow were used to create intracranial GBM xenografts, by implanting red fluorescent glioma stem cells or U87 into the frontal lobe. Using a known inhibitor of microglial activation, minocycline, we show that treatment with this agent increased tumor cell growth and invasiveness and reduced animal survival compared to controls. We show that Minocycline decreases activation of microglia, inhibits the phagocytic activity of microglia in GBMs and decreases the perivascular localization of microglia. The mRNA expression profile of microglia isolated from the GBM microenvironment showed, through Ingenuity Pathway Analysis (IPA), a loss of engulfment and migration of cells and phaocytotic pathways in BM-derived microglia, additionally we see a reorganization of cytoskeletal pathways leading to an increase in the migration and invasiveness of GBM cells following treatment with Minocycline. We also have preliminary data to suggest that this property of Minocycline is dependent on VEGF levels, where in the context of low VEGF Minocycline does not provide a significant anti-angiogenic role. We demonstrate that microglia in GBM microenvironment, are primarily recruited and differentiated from the BM and not resident, and that these cells have an anti-tumorgenic functions, and inhibition of the activated microglia by Minocycline, results in a more invasive phenotype of GBM cells.
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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) | 0.002 | 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".