Epigenetic mediated silencing of EYA4 contributes to tumorigenesis in oral dysplastic cells
Bibliographic record
Abstract
Five-year survival rates for oral squamous cell carcinoma (OSCC) have remained at a dismal 50% for the past several decades. Molecular analyses of premalignant tissues are a key means of identifying early foundational drivers of disease, which may be exploitable as biomarkers or therapeutic targets for improving disease outcomes. We previously identified EYA4 as frequently hypermethylated and silenced in premalignant disease based on an analysis of lesion-adjacent normal, dysplasia, and carcinoma in situ/squamous cell carcinoma tissues from the oral cavity. Herein, we further evaluate the role of this putative tumor suppressor gene in transformation of oral tissues and OSCC. By an initial assessment, EYA4 promoter hypermethylation was found in 24/32 (75%) of paired tumor samples in The Cancer Genome Atlas oral cancer data set, with significant correlation noted between methylation status and relative gene expression. To assess the impact of EYA4 in oral tumorigenesis, we overexpressed EYA4 in two oral dysplasia cell lines. Expression of EYA4 caused an increase in cell proliferation, DNA damage repair capabilities, and increased the level of apoptosis. Taken together, we find evidence that EYA4 is a novel tumor suppressor in oral cancer, which becomes methylated and silenced at the premalignant stage and appears to be epigenetically regulated. Further studies are warranted to investigate its role as a marker for progression in oral cancer. © 2016 Wiley Periodicals, Inc.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".