TLR5 involvement in attenuated IL-8 production in nuclear decorin silenced oral mucosal dysplastic keratinocytes and squamous cell carcinoma
Bibliographic record
Abstract
Head and neck cancer is one of the most prevalent cancers in the world. Roughly half of these malignancies originate from oral mucosa and constitute Oral squamous cell carcinomas. Despite many advances in diagnostic and therapeutic regimens, five year survival rate remains at roughly 50 %, indicating the need for in depth understanding of the oral squamous cell carcinoma immunobiology. We have previously shown that in human dysplastic oral keratinocytes (DOK) and malignant squamous cells carcinoma (SCC-25), multifunctional proteoglycan decorin is aberrantly expressed and localized in the nucleus bound to nuclear EGFR. In vitro nuclear decorin knockdown significantly reduced IL-8 and IL8-dependent migration, invasion and angiogenesis in these cells. Since toll-like receptor (TLR) signalling leads to IL-8 production we examined here if these receptors play a role in decorin silencing mediated reduction in IL-8 levels. We have used immunological and molecular techniques to study toll-like receptors involvement in attenuated IL-8 production in nuclear decorin silenced (stable knockdown) oral mucosal dysplastic keratinocytes and squamous carcinoma cells. We show that nuclear decorin silenced DOK and SCC-25 cells show marked diminution of TLR5 mRNA and protein expression compared with respective controls that translated into loss of function in response to appropriate TLR ligand. In these mucosal oral epithelia, decorin stable knockdown significantly down-regulated IL-8 production following activation with TLR5 ligand flagellin. These data suggest that decorin silencing interferes with IL-8 production, in part, by altering TLR5 expression and signaling in dysplastic and malignant oral epithelia. This study highlights the significance of TLR5 expression and signaling in mucosal cancers.
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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".