Loss of CYLD promotes cell invasion via ALK5 stabilization in oral squamous cell carcinoma
Bibliographic record
Abstract
Oral squamous cell carcinoma (OSCC) has a very poor prognosis because of its highly invasive nature, and the 5-year survival rate has not changed appreciably for the past 30 years. Although cylindromatosis (CYLD), a deubiquitinating enzyme, is thought to be a potent tumour suppressor, its biological and clinical significance in OSCC is largely unknown. This study aimed to clarify the roles of CYLD in OSCC progression. Our immunohistochemical analyses revealed significantly reduced CYLD expression in invasive areas in OSCC tissues, whereas CYLD expression was conserved in normal epithelium and carcinoma in situ. Furthermore, downregulation of CYLD by siRNA led to the acquisition of mesenchymal features and increased migratory and invasive properties in OSCC cells and HaCaT keratinocytes. It is interesting that CYLD knockdown promoted transforming growth factor-β (TGF-β) signalling by inducing stabilization of TGF-β receptor I (ALK5) in a cell autonomous fashion. In addition, the response to exogenous TGF-β stimulation was enhanced by CYLD downregulation. The invasive phenotypes induced by CYLD knockdown were completely blocked by an ALK5 inhibitor. In addition, lower expression of CYLD was significantly associated with the clinical features of deep invasion and poor overall survival, and also with increased phosphorylation of Smad3, which is an indicator of activation of TGF-β signalling in invasive OSCC. These findings suggest that downregulation of CYLD promotes invasion with mesenchymal transition via ALK5 stabilization in OSCC cells. Copyright © 2017 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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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".