TMIC-17. THE ROLE OF ICAM1 IN GLIOBLASTOMA TUMORIGENESIS UNDER HYPOXIC CONDITIONS
Bibliographic record
Abstract
Abstract Glioblastoma (GBM) is a deadly brain cancer in adults with limited treatment options. Cell adhesion molecules (CAMs) mediate cell-cell interactions and migration. Intercellular adhesion molecule 1 (ICAM-1) is a CAM expressed by various cell types in solid tumors, including macrophages, tumor and endothelial cells. We previously demonstrated that ICAM-1 expression is linked to shorter overall survival in GBM patients. We observed elevated ICAM-1 levels in hypoxic regions of GBMs. Considering the role of tumor-associated macrophages (TAMs) in GBM tumorigenicity, our objective was to investigate how ICAM-1 expression in TAMs contributes to GBM growth within the hypoxic tumor microenvironment (TME). We employed a comprehensive approach utilizing in vitro and in vivo models, as well as genomic analyses at both bulk and single-cell levels, to elucidate the association between ICAM-1 and TAMs in tumorigenicity. Our findings demonstrated that injecting GBM cells into ICAM-1 knockout mice led to prolonged survival, smaller tumors, reduced macrophage infiltration, and enhanced M1-like polarization of TAMs. Additionally, bone marrow reconstitution experiments confirmed the tumor-promoting role of ICAM-1-expressing TAMs. Cell deconvolution, immunohistochemical, and flow cytometry analyses of mouse tumors supported these findings. Gene set enrichment analysis of differentially expressed genes in xenografted tumors revealed that ICAM-1 presence upregulated key tumorigenic pathways, including epithelial-mesenchymal transition, IL2-STAT5, TNF-α via NFκB, IL6-JAK-STAT3, and RAS/MAPK. In vitro analysis indicated that ICAM-1 promoted macrophage migration and polarization towards M2-like state, which was further augmented by hypoxia-induced ICAM1 expression. Flow cytometry, cytometry by time of flight (cyToF), and single-cell RNA sequencing analysis of human and mouse GBMs revealed elevated ICAM-1 expression in hypoxic TAMs, suggesting the hypoxic microenvironment promotes the tumorigenic functions of TAMs. In conclusion, ICAM1 likely enhances GBM tumorigenesis by promoting TAM migration into the TME. Furthermore, environmental factors such as hypoxia contribute to increased ICAM-1 expression in TAMs, further exacerbating GBM tumorigenicity.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".