Abstract A14: Understanding the role of ATRX in the development and progression of glioma
Bibliographic record
Abstract
Abstract Gliomas are tumors that arise from glial cells within the brain and spinal cord and account for approximately 30% of all central nervous system neoplasms. Emerging evidence indicates that unique molecular and genetic footprints define glioma subtypes. The Atrx gene is commonly mutated in a subset of gliomas across all tumor grades and within both the pediatric and adult populations. ATRX is a chromatin remodeling protein that is necessary for proper neural development. Loss of ATRX conditionally in the forebrain of the mouse starting at embryonic day 8.5 leads to an increase in replication stress and p53-mediated cortical cell death. Microarray analysis of control and Atrx-null neonatal forebrains indicates a significant increase in the expression of many cancer-related genes. Many of these overexpressed genes are involved in cellular migration, invasion, and epithelial-mesenchymal transition — important cellular phenotypes known to contribute to glioma development. Our data highlight oncogenic signaling pathways that become activated in the absence of the ATRX protein in the brain that may promote tumorigenesis when combined with additional genetic mutations, such as p53 mutations. Citation Format: Hannah E. Goldberg, Kristin D. Kernohan, Nathalie G. Berube. Understanding the role of ATRX in the development and progression of glioma. [abstract]. In: Proceedings of the AACR Special Conference on Chromatin and Epigenetics in Cancer; Jun 19-22, 2013; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2013;73(13 Suppl):Abstract nr A14.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".