Genome‐wide high‐resolution analysis of DNA copy number alterations in NF1‐associated malignant peripheral nerve sheath tumors using 32K BAC array
Bibliographic record
Abstract
Neurofibromatosis Type I (NF1) is an autosomal dominant disorder characterized by the development of both benign and malignant tumors. The lifetime risk for developing a malignant peripheral nerve sheath tumor (MPNST) in NF1 patients is approximately 10% with poor survival rates. To date, the molecular basis of MPNST development remains unclear. Here, we report the first genome-wide and high-resolution analysis of DNA copy number alterations in MPNST using the 32K bacterial artificial chromosome microarray on a series of 24 MPNSTs and three neurofibroma samples. In the benign neurofibromas, apart from loss of one copy of the NF1 gene and copy number polymorphisms, no other changes were found. The profiles of malignant samples, however, revealed specific loss of chromosomal regions including 1p35-33, 1p21, 9p21.3, 10q25, 11q22-23, 17q11, and 20p12.2 as well as gain of 1q25, 3p26, 3q13, 5p12, 5q11.2-q14, 5q21-23, 5q31-33, 6p23-p21, 6p12, 6q15, 6q23-q24, 7p22, 7p14-p13, 7q21, 7q36, 8q22-q24, 14q22, and 17q21-q25. Copy number gains were more frequent than deletions in the MPNST samples (62% vs. 38%). The genes resident within common regions of gain were NEDL1 (7p14), AP3B1 (5q14.1), and CUL1 (7q36.1) and these were identified in >63% MPNSTs. The most frequently deleted locus encompassed CDKN2A, CDKN2B, and MTAP genes on 9p21.3 (33% cases). These genes have previously been implicated in other cancer conditions and therefore, should be considered for their therapeutic, prognostic, and diagnostic relevance in NF1 tumorigenesis.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".