Abstract 1075: Cul1 Expression Is Increased in Early Stages of Human Melanoma
Bibliographic record
Abstract
Abstract As the largest family of ubiquitin-protein E3 ligases, the SCF (Skp1/Cullin/Rbx1/F-box protein) complexes ubiquitinate a broad range of proteins involved in cell cycle progression, signal transduction and transcription. Cullin1 (Cul1) serves as a rigid scaffold in SCF complex for Rbx1, Skp1 and F-box protein subunits assembly and aberrant expression of Cul1 is involved in dysfunction of SCF E3 ligases. To investigate the role of Cul1 in the development of melanoma, we examined the expression of Cul1 in melanocytic lesions at different stages and analyzed the correlation between Cul1 expression and clinicopathologic parameters by tissue microarray and immunohistochemistry. The result showed that Cul1 expression was significant increased in primary and metastatic melanoma compared with dysplastic nevi, while there was no significant difference of Cul1 expression between primary and metastatic melanoma, which suggested that Cul1 plays an important role in the initiation stage of melanoma development. We found knockdown of Cul1 inhibited melanoma cell growth and overexpression of Cul1 promoted melanoma cell growth through regulating CDK inhibitor p27Kip expression. Knockdown of Cul1 abrogated Skp2-induced p27 degradation in melanoma cells. These results suggested that Cul1 is involved in cell cycle regulation of melanoma cells via Cul1-dependent ubiquitination and degradation of the p27kip1 by SCFSkp2 complex. In conclusion, our data indicate that Cul1 may serve as a potential marker for human melanoma initiation and early diagnosis. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 1075.
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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 | 0.000 | 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) | 0.003 | 0.001 |
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".