Cyclooxygenase and CD147 expression in oral squamous cell carcinoma patient samples and cell lines
Bibliographic record
Abstract
Objectives In oral squamous cell carcinoma (OSCC), cyclooxygenases (COX-1 and COX-2) contribute to inflammation, and cluster of differentiation factor 147 (CD147) contributes to invasiveness, but their relationship has not been previously examined within a cohort of patients with OSCC or OSCC cell lines. Study Design COX-2 and CD147 expression was determined by using immunohistochemistry on 39 surgical biopsy specimens of OSCC. Expression in tumor cells, stroma, and adjacent oral epithelium was characterized by using a visual grading system. COX-1, COX-2, and CD147 expression was determined in vitro by using OSCC cell lines (SCC25, BHY, and HN) and reverse transcriptase-quantitative polymerase chain reaction. Secretion of prostagladin E 2 (PGE 2 ) from OSCC cell lines was determined by using PGE 2 enzyme-linked immunosorbent assay. Results Biopsy specimens showed higher COX-2 expression in tumor cells compared with stroma and adjacent epithelium ( P < .05). There was no difference in CD147 expression among the tumor cells, stroma, and adjacent epithelium. In OSCC cell lines, there was a trend for COX-2 and CD147 gene expression to be coordinated. Interestingly, PGE 2 secretion was more closely related to COX-1 expression than to COX-2 expression. Conclusions COX-1, COX-2, and CD147 appear to be independently regulated in OSCC, potentially representing 2 therapeutic targets for future investigation. COX-1 expression in OSCC deserves further study because it may be an important determinant of PGE 2 secretion from OSCC cells.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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".