Identification of novel target proteins in sebaceous gland carcinoma
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to identify new target proteins in sebaceous gland carcinoma. METHODS: A tissue microarray containing 115 core biopsies was constructed and stained for proteins involved in carcinogenesis, angiogenesis, inflammation, and cell-to-cell contact. Two investigators independently determined protein expression of all antibodies. RESULTS: Vascular endothelial growth factor receptor 2 (VEGFR-2), platelet-derived growth factor receptor alpha and beta (PDGFR-α/-β), epidermal growth factor receptor (EGFR), cyclooxygenase 1 and 2 (Cox-1/-2), myeloid cell leukemia sequence 1 (Mcl-1), matrix metalloproteinase 1 (MMP-1), CD9, Bmi-1, 14-3-3σ, glutathione S-transferase pi (Gstπ), and members of the sonic hedgehog (SHH), AKT, and WNT pathways were significantly overexpressed in sebaceous gland carcinomas. CONCLUSIONS: We have demonstrated for the first time that proteins related to angiogenesis, inflammation, and cell proliferation are overexpressed in sebaceous gland carcinomas. These proteins may hold promise as novel therapeutic targets for the treatment of sebaceous gland carcinoma.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".