Localization of cyclo-oxygenase-2 in human recurrent colorectal cancer
Bibliographic record
Abstract
AIM: The aim of this paper is to examine COX-2 expression in human recurrent colorectal carcinoma tissues using immunohistochemistry and quantative real-time PCR (qPCR). METHODS: Colon and rectal specimens were obtained from 26 patients with recurrent colorectal carcinomas. We examined COX-2 expression in human recurrent colorectal carcinoma tissues using immunohistochemistry and quantative real-time PCR (qPCR). RESULTS: In recurrent colorectal cancer a strong cytoplasmic and perinuclear staining of COX-2 was found. Moderate to strong immunosignals were detected in almost all of the carcinomas. We observed a strong specific staining of COX-2 in vascular endothelium. COX-2 immunoreactivity was also detected in stromal cells such as mononuclear cells, fibroblasts, and smooth muscle cells. The real-time PCR analyses demonstrated marked overexpression of the COX-2 gene in the cancer mucosa in concert with the immunohistochemistry data. CONCLUSION: We investigated COX-2 expression at the level of its protein as well as its messenger RNA in a series of recurrent colorectal cancers. These observations give additional information about the possibility that COX-2 could be involved in tumor promotion during colorectal cancer progression.
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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) | 0.001 | 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".