Frequent NFIB-associated Gene Rearrangement in Adenoid Cystic Carcinoma of the Vulva
Bibliographic record
Abstract
Adenoid cystic carcinoma is a rare malignant tumor that usually arises in the major and minor salivary glands and other locations containing secretory glands, including the lower female genital tract. Lower female genital tract carcinomas with adenoid cystic differentiation can be subclassified into 2 distinct groups based on the presence or absence of high-risk HPV. Cervical mixed carcinomas with some adenoid cystic differentiation are high-risk HPV-related but pure adenoid cystic carcinomas of vulvar and cervical origin appear to be unrelated to high-risk HPV. Mechanisms by which normal cells give rise to an HPV-unrelated adenoid cystic carcinoma remain largely unknown. Studies demonstrate that chromosomal translocation involving the genes encoding the transcription factors MYB and NFIB functions as a driving force of adenoid cystic carcinomas development regardless of anatomic site. The current study used fluorescence in situ hybridization with 3 different probes including MYB break-apart probe, NFIB break-apart probe, and MYB-NFIB fusion probe to assess for the presence of gene rearrangements in adenoid cystic carcinomas of the vulva. Six (66.7%) of 9 vulvar adenoid cystic carcinomas demonstrated NFIB rearrangement. Of these 6 cases with a disturbed NFIB, only 2 cases (33.3%) were positive for a MYB rearrangement that was also confirmed by a positive MYB-NFIB fusion pattern. NFIB-associated gene rearrangement is a frequent genetic event in vulvar adenoid cystic carcinomas. Chromosome translocations involving NFIB but with an intact MYB indicate the presence of novel oncogenic mechanisms for the development of adenoid cystic carcinomas of the vulva.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".