HOX gene dysregulation in glioblastoma: a narrative review of current advances
Bibliographic record
Abstract
HOX (homeobox) genes are virtually absent in healthy adult brains but are detected in malignant brain tumors, particularly gliomas. In 2021, the World Health Organization (WHO) classified adult-type diffuse gliomas into three distinct categories: astrocytomas (isocitrate dehydrogenase [IDH]-mutated), oligodendrogliomas (IDH-mutated and 1p/19q-deleted), and glioblastomas, IDH-wildtype (GBM). GBM is the most common and aggressive primary malignant tumor of the Central Nervous System (CNS), characterized by its high recurrence rate and rapid growth. Dysregulation of HOX genes is a well-established phenomenon in both solid and liquid malignancies, playing crucial roles in various fundamental characteristics of cancer, including GBM. In recent years, HOX genes have gained recognition not only as key regulators of tumor progression but also as potential biomarkers for predicting disease outcomes and as promising therapeutic targets for GBM. This review compiles the latest research on HOX genes in GBM, encompassing studies published before and after the 2021 WHO classification of CNS tumors. Our goal is to provide a comprehensive overview of key findings on the role of HOX gene clusters, which are groups of genes involved in regulating the development of the body plan along the anterior-posterior axis, in GBM initiation, progression, prognosis, and treatment response.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".