Abstract 1442: Expression of miRNA processing factor Dicer in cutaneous melanoma and its role in cell invasion
Bibliographic record
Abstract
Abstract Deregulated expression of miRNAs is a hallmark of various human cancers. One potential mechanism for the aberrant expression of miRNAs in cancers is their abnormal processing due to altered expression or function of their processing factors such as Dicer and Drosha. Although altered expression of several miRNAs have been reported in melanoma, the expression profile of miRNA processing factors in this cancer is unknown. In this study we examined the expression of Dicer protein in different stages of melanocytic lesions. Using tissue microarray and immunohistochemistry, we evaluated cytoplasmic Dicer expression in 32 dysplastic nevi, 77 primary melanomas, and 48 metastatic melanomas. Our data revealed that expression of Dicer has a significant but inverse correlation with progression of melanoma (P < 0.001). Accordingly, the number of samples with moderate-strong staining for Dicer was reduced from 81.2% in dysplastic nevi to 67.5% in primary melanoma and 40.8% in metastatic melanoma. The expression of Dicer was also negatively correlated with the American Joint Committee on Cancer (AJCC) staging of the melanoma samples (p=0.019). Moreover, the reduced Dicer expression was correlated with a poorer disease-specific 5-year survival of melanoma patients (P = 0.026). Multivariate Cox regression analysis revealed that reduced nuclear Dicer expression is an independent prognostic factor to predict patient outcome (P = 0.030). We also knocked down Dicer expression and used Boyden chamber migration assay to study its role in the invasion ability of MMRU human melanoma cells. Interestingly, knockdown of Dicer enhanced the invasion ability of MMRU cells by 2-fold. Our results demonstrate the critical role of miRNA machinery in the progression of melanoma, suggesting that Dicer may be a suitable prognostic marker for human melanoma patients as well as a potential therapeutic target. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 1442. doi:10.1158/1538-7445.AM2011-1442
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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) | 0.002 | 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".