Malignant and benign ganglioglioma: A pathological and molecular study1
Bibliographic record
Abstract
Gangliogliomas are generally benign tumors, composed of transformed neuronal and glial elements, with rare malignant progression of the glial component. The current study of a rare case of a woman harboring a ganglioglioma with areas of malignant transformation addresses two fundamental questions: (1) Are the ganglioglioma and its malignant component clonal in origin? (2) What are the genetic alterations associated with the initiation and subsequent malignant progression of ganglioglioma? By using the human androgen receptor gene (HUMARA) assay, we found the ganglioglioma and the malignant component to be clonal in origin, suggestive of initial transformation of a single neuroglial precursor cell with subsequent malignant progression. Conventional and array comparative genomic hybridization (approximately 2.5-Mb resolution) analyses found chromosomal losses to be predominant in the benign areas of the ganglioglioma, with gains more prevalent in the malignant component. Regions of chromosomal loss, postulated to harbor genes involved in the initiation of ganglioglioma, included 1p35-36, 2p16-15, 3q13.1-13.3, 3q24-25.3, 6p21.3-21.2, 6q24-25.2, 9p12, Xp11.3-11.22, and Xq22.1-22.3. Direct analysis demonstrated loss of p19 expression and p53 mutation in the malignant areas, highly suggestive of these alterations being involved in the malignant progression of the ganglioglioma. Additional chromosomal alterations specific to the malignancy involved gains on 1p35-34.2, 2q24.1-32.3, 3q13.1-13.3, 6q13-16.2, 7q11.2-31.3, 8q21.1-23, 11q12-31, and 12q13.2-21.3. This molecular-pathological study has provided insight into the pathogenesis of gangliogliomas and associated rare malignant progression. Deciphering the specific genes residing in these chromosomal regions may further our understanding of not only these rare tumors but also the more common gliomas.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".