Abstract 4940: Prognostic significance of Fbw7 in human melanoma and its role in cell migration.
Bibliographic record
Abstract
Abstract The E3 ubiquitin ligase Fbw7 (F-box and WD repeat domain-containing 7) is broadly considered as a tumor suppressor because of its role in turnover of several well-known onco-proteins. However, the role of Fbw7 in melanomagenesis is not clear. To investigate the expression profile and biological functions of Fbw7 in melanoma, we examined Fbw7 expression level using melanoma tissue microarray and immunohistochemistry. Our data showed that Fbw7 expression is significantly reduced in primary melanoma compared with dysplastic nevi (P = 0.020) and further reduced in metastatic melanoma compared with primary melanoma (P = 0.011). Furthermore, we observed a strong correlation between negative Fbw7 expression and a worse 5-year survival of melanoma patients (P = 0.015). We also found that both Fbw7 protein and mRNA expression was significantly reduced in 9 melanoma cell lines compared with normal melanocytes. Moreover, our in vitro studies showed a remarkable increase of cell migration and stress fibre formation in Fbw7 knockdown cells, and treatment of selective MEK inhibitor abrogated Fbw7α knockdown induced melanoma cell migration. Taken together, our findings indicate that Fbw7 plays an important role in melanoma progression, and Fbw7 inhibits melanoma cell migration through MAPK-ERK signalling pathway and may serve as a prognostic marker. Citation Format: Yabin Cheng. Prognostic significance of Fbw7 in human melanoma and its role in cell migration. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4940. doi:10.1158/1538-7445.AM2013-4940
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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) | 0.002 | 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".