Inhibition of DHCR24/Seladin‐1 impairs cellular homeostasis in prostate cancer
Bibliographic record
Abstract
BACKGROUND: Seladin-1 belongs to a subgroup of androgen-dependent genes associated with anti-proliferative, pro-differentiation, and pro-apoptotic functions and plays a protective role against oncogenic stress. The present study aims to investigate the localization and expression of Seladin-1 protein in normal and tumoral human prostatic tissues as well as to explore its role in proliferation and steroid secretion in androgen-dependent (LnCaP) and androgen-independent (DU145) cell lines and in human prostate primary cell culture. METHODS: Seladin-1 protein localization and expression were assessed on whole tissue sections by tissue array/immunohistochemistry and following immunofluorescence and Western blotting. Proliferation (Ki67 fluorescence labeling and cell counts) and steroid secretion (ELISA) were assessed in cell lines and primary epithelial cell cultures. RESULTS: In human prostatic tissue and cells, Seladin-1 was mostly localized within epithelial and rarely within stromal cells and primarily present in secretory luminal cells of normal and tumoral prostate cells. Its expression was increased in low-risk prostate cancer but reduced in advanced prostate cancers when compared to normal tissues. Seladin-1 was highly expressed in LnCaP, whereas its expression level was lower in DU145 cells. Seladin-1 inhibition by treatment with its specific inhibitor, U18666A (75 nM), increased proliferation in LnCaP and primary cell culture, as well as testosterone and dihydrotestosterone levels in both LnCaP and DU145 cell lines. CONCLUSIONS: Seladin-1 involvement in proliferation and secretion suggests that its downregulation may be a major mechanism causing prostate cancer evolution. Seladin-1 may thus potentially decrease cell growth and steroid dependency in low-grade prostate cancer.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".