Abstract 3430: Role of Tip60 in human melanoma cell migration, melanoma metastasis and patient survival
Bibliographic record
Abstract
Abstract The tumor suppressor Tip60 plays a major role in transcription, DNA damage response, apoptosis and cancer development, but its role in melanoma is unknown. In this study, we investigated the role of Tip60 in melanoma pathogenesis and assessed its prognostic value. Using tissue microarrays consisting of 448 cases of melanomas (201 for the training set and 247 for the validation set) and 105 cases of nevi, we found that Tip60 expression was significantly reduced in metastatic melanoma compared to normal nevi (P = 0.045), dysplastic nevi (P = 0.047) and primary melanoma (P = 0.001). Kaplan-Meier survival curve and univariate Cox regression analyses showed that reduced Tip60 expression was associated with a poorer five-year disease-specific survival in primary melanoma (P = 0.016) and metastatic melanoma patients (P = 0.027). Multivariate Cox regression analyses indicated that Tip60 expression was an independent prognostic marker for primary (P = 0.002) and metastatic melanomas (P = 0.035). In vitro wound healing assay showed that enforced Tip60 expression inhibited melanoma cell migration suggesting that Tip60 might regulate melanoma metastasis. Finally, we showed that overexpression of Tip60 in melanoma cells resulted in significantly increased chemosensitivity. Our data indicate that Tip60 may serve as a potential biomarker for melanoma patient outcome as well as a potential therapeutic target. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3430. doi:1538-7445.AM2012-3430
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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 | 0.001 | 0.001 |
| 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) | 0.007 | 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".