Administration of Glucocorticoids to Ovarian Cancer Patients Is Associated with Expression of the Anti-apoptotic Genes <i>SGK1</i> and <i>MKP1/DUSP1</i> in Ovarian Tissues
Bibliographic record
Abstract
PURPOSE: To prevent chemotherapy-related side effects, synthetic glucocorticoids, for example, dexamethasone, are routinely administered to patients with ovarian cancer. However, preclinical data implicate glucocorticoids in suppressing chemotherapy-mediated apoptosis in epithelial tumors. The anti-apoptotic mechanisms underlying this increased survival have been shown to require up-regulation of prosurvival genes, including serum and glucocorticoid-regulated kinase 1 (SGK1) and map kinase phosphatase 1 (MKP1)/dual specificity phosphatase 1 (DUSP1). Despite abundant preclinical data, there are no correlative studies in patients. We therefore evaluated anti-apoptotic gene expression in tumor samples from patients randomized to dexamethasone or normal saline. EXPERIMENTAL DESIGN: Eighteen patients were randomized before exploratory laparotomy for suspected ovarian cancer. Dexamethasone or normal saline was administered i.v. following anesthesia. Ovarian and omental tumor samples were collected intra-operatively before and after infusion. Samples were analyzed for histology and glucocorticoid receptor expression by immunohistochemistry. SGK1 and MKP1/DUSP1 mRNA levels were determined using quantitative real-time PCR. RESULTS: Ten patients were evaluable. At 30 min postinfusion, tumor samples from five patients receiving dexamethasone revealed an average SGK1 mRNA induction of 6.1-fold (SEM, +/-2.6) compared with only 1.5-fold (SEM, +/-0.4) in tumor samples from five patients receiving normal saline (P = 0.028). Average MKP1/DUSP1 mRNA expression was increased by 8.2-fold (SEM, +/-2.9) following dexamethasone versus 1.1-fold (SEM, +/-0.4) following normal saline (P = 0.009). All samples expressed glucocorticoid receptor. CONCLUSION: Glucocorticoid administration to patients is associated with rapid up-regulation of SGK1 and MKP1 expression in ovarian tumors. This finding supports the hypothesis that pharmacologic doses of glucocorticoids may decrease chemotherapy effectiveness in ovarian cancer patients through increased anti-apoptotic gene expression.
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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 | 0.001 | 0.001 |
| 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".