Repression of 15-Hydroxyprostaglandin Dehydrogenase Involves Histone Deacetylase 2 and Snail in Colorectal Cancer
Bibliographic record
Abstract
Prostaglandin E(2) (PGE(2)) promotes cancer progression by modulating proliferation, apoptosis, angiogenesis, and the immune response. Enzymatic degradation of PGE(2) involves the NAD(+)-dependent 15-hydroxyprostaglandin dehydrogenase (15-PGDH). Recent reports have shown a marked diminution of 15-PGDH expression in colorectal carcinomas (CRC). We report here that treatment of CRC cells with histone deacetylase (HDAC) inhibitors, including sodium butyrate and valproic acid, induces 15-PGDH expression. Additionally, we show that pretreatment of CRC cells with HDAC inhibitors can block epidermal growth factor-mediated or Snail-mediated transcriptional repression of 15-PGDH. We show an interaction between Snail and HDAC2 and the binding of HDAC2 to the 15-PGDH promoter. In vivo, we observe increased Hdac2 expression in Apc-deficient mouse adenomas, which inversely correlated with loss of 15-Pgdh expression. Finally, in human colon cancers, elevated HDAC expression correlated with down-regulation of 15-PGDH. These data suggest that class I HDACs, specifically HDAC2, and the transcriptional repressor Snail play a central role in the suppression of 15-PGDH expression. These results also provide a cyclooxygenase-2-independent mechanism to explain increased PGE(2) levels that contribute to progression of CRC.
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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".