Abstract 3145: eIF4E, an adverse prognostic marker of melanoma patient survival, increases melanoma cell invasion
Bibliographic record
Abstract
Abstract Human cutaneous melanoma is a life-threatening skin cancer due to its invasive nature and high metastatic potential, leading to poor prognosis for melanoma patients. However, the mechanisms for melanoma invasion and metastasis are poorly understood. Human eukaryotic translation initiation factor 4E (eIF4E) has been shown to be associated with tumor progression in multiple cancer types. However, the role of eIF4E in melanoma progression is not very well known. We examined eIF4E expression in 448 melanocytic lesions at different stages using tissue microarray and found that positive eIF4E staining was significantly increased in primary melanomas compared to dysplastic nevi (P<0.001), and further increased in metastatic melanomas compared to primary melanomas (P=0.008). EIF4E expression was correlated with melanoma thickness (P<0.001) and was inversely correlated with overall and disease-specific 5-year survival of all and primary melanoma patients especially those with tumor ≥4mm thick combined with metastatic melanoma patients. Furthermore, positive eIF4E expression was significantly higher in AJCC stage I-II melanomas compared to stage III-IV melanomas. Multivariate Cox regression analysis also revealed that eIF4E is an independent prognostic marker. FACS analysis and sulforhodamine B (SRB) cell proliferation assay showed that eIF4E knockdown in melanoma cells resulted in a significant increase and decrease in apoptosis and cell proliferation, respectively. EIF4E knockdown in melanoma cells also resulted in a down regulation of mesenchymal markers such as vimentin, N-cadherin, α-smooth muscle actin (α-SMA) and the EMT inducing transcription factor Twist. Additionally eIF4E knockdown in melanoma cells led to a decrease in the expression of c-Myc and Bcl2 and an increase in the expression of cleaved PARP and cleaved Caspase3. Moreover, down regulation of eIF4E resulted in a decrease in both melanoma cell invasion and MMP-2 activity. Taken together our data suggests the eIF4E may promote melanoma cell invasion and metastasis by inducing EMT and preventing apoptosis and also by increasing MMP-2 activity. EIF4E may also serve as a promising prognostic marker and a potential therapeutic target for melanoma. Citation Format: Shahram Khosravi, Gholamreza Safaee Ardekani, Magdalena Martinka, Christopher John Ong. eIF4E, an adverse prognostic marker of melanoma patient survival, increases melanoma cell invasion. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 3145. doi:10.1158/1538-7445.AM2014-3145
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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 | 0.001 |
| 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) | 0.006 | 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".