A Novel Approach to Reducing Chemoresistance in Advanced Ovarian Cancer: The Effect of Itraconazole—A Single-Institution Randomized Placebo-Controlled Trial
Bibliographic record
Abstract
Background: The five-year survival rate of patients with ovarian cancer remains less than 50%, secondary to chemotherapy resistance. Purpose: This study aims to evaluate the effects of itraconazole as a supplementary treatment with paclitaxel and carboplatin on malignancy response and in preventing the initial development of chemoresistance in chemotherapy-naïve patients with advanced ovarian epithelial cancer. Method: This randomized placebo-controlled double-blind study involved 60 chemotherapy-naïve patients with advanced epithelial ovarian malignancy who were randomized into two arms; the placebo and itraconazole groups. The placebo group received six chemotherapy cycles and four inactive capsules, while the itraconazole group received six chemotherapy cycles and 400 mg oral itraconazole for five days per cycle. Results: Following completion of six chemotherapy cycles and when contrasted with the control arm, the itraconazole arm demonstrated statistically significant improvements in tumor response. The objective response rate was 80% in the itraconazole group compared with 47% in the placebo group (p = 0.015), while the disease control rate was 100% versus 80%, respectively (p = 0.023). The median progression-free survival (PFS), defined as the time point at which 50% of patients experienced disease progression or death, was 13.5 months for the overall study population. PFS was evaluated as a fixed-time endpoint at 18 months following completion of chemotherapy for the overall study population. Progression-free survival was significantly improved in the itraconazole group, with 70% of patients remaining progression-free compared with 26.7% in the placebo group (p = 0.001). Also, the itraconazole group produced significant declines in the serum levels of CA-125 (p = 0.005) and p-glycoprotein (p = 0.042) with significant elevation in VEGFR-2 (p = 0.006) as compared to the control group. Itraconazole was safe and its use was associated with a significant improvement in the quality of life (QOL). Conclusions: Itraconazole could represent a promising add-on therapy to enhance tumor response to chemotherapy in patients with ovarian 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".