Analyses of the tumour suppressor ING1 expression and gene mutation in human basal cell carcinoma
Bibliographic record
Abstract
The incidence of basal cell carcinoma is the highest among all human malignancies. Epidemiological evidence indicates that ultraviolet radiation is the primary environmental cause for the pathogenesis of basal cell carcinoma. However, the genetic changes caused by ultraviolet radiation that lead to basal cell carcinoma formation remain unclear. We and others have demonstrated that the ING1 (inhibitor of growth 1) tumour suppressor plays an important role in cellular stress response to ultraviolet irradiation, such as DNA repair and apoptosis. This study was designed to investigate whether ING1 is overexpressed and/or mutated in human basal cell carcinoma. Immunohistochemistry, single-strand conformation polymorphism, and DNA sequencing were used to determine the expression and mutational status of the ING1 gene in 54 basal cell carcinoma biopsies. Immunohistochemical staining demonstrated that ING1 is overexpressed in 25% (6/24) human basal cell carcinomas. Single-strand conformation polymorphism and DNA sequencing revealed that only 1 in 54 (1.8%) basal cell carcinoma primaries contained a missense mutation in the ING1 gene. The mutation is located in exon 2 and could thus potentially interfere with the structure of every ING1 isoforms and the functions of the PHD zinc finger motif. Our data indicate that overexpression and mutation of the ING1 gene are infrequent in human basal cell carcinoma.
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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 | 0.000 |
| 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".