Gene Expression Patterns in a Congenital Neurocristic Hamartoma With Multiple Proliferative Nodules
Bibliographic record
Abstract
Cutaneous neurocristic hamartoma (CNH) is a rare lesion composed of neural crest derivatives, thought to arise from aberrant migration and differentiation of neural crest cells. Recognition of CNH may be difficult, as they may resemble giant congenital nevus, and development of proliferative nodules (PNs) may raise concern for malignant transformation. Assessment of gene expression in CNH and PNs derived from CNH may offer insight into pathogenesis and suggest clinically useful biomarkers to identify these entities. This study investigates gene expression patterns in a congenital CNH and three separate PNs derived from that CNH with giant congenital nevus and malignant melanoma as comparator groups. Comparison of PN to CNH demonstrates downregulation of WIF1, which encodes as a tumor suppressor, and loss of WIF1 expression might explain the progression from CNH to PN. Comparison of gene expression in PN and CNH with giant congenital nevus and malignant melanoma shows relative overexpression of IGF2 and H19 in CNH and PN, suggesting that abnormal imprinting and IGF2 overexpression may have integral functions in the foundation of CNH.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.001 | 0.000 |
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".