Markers of Oxidative Stress and Inflammation in Ascites and Plasma in Patients with Platinum‐Sensitive, Platinum‐Resistant, and Platinum‐Refractory Epithelial Ovarian Cancer
Bibliographic record
Abstract
Diverse proinflammatory biomarkers and oxidative stress are strongly associated with advanced epithelial ovarian cancer (EOC). Objective . To determine the behavior of markers of oxidative stress and inflammation in plasma and ascites fluid in patients with platinum‐sensitive, platinum‐resistant, and platinum‐refractory EOC. Methods . A prospective cohort study. The colorimetric method was used to determine levels of the markers 8‐isoprostanes (8‐IP), lipid peroxidation products (LPO), and total antioxidant capacity (TAC) in plasma and ascites fluid; and with ELISA, the levels of interleukin‐6 (IL‐6) and tumor necrosis factor alpha (TNF‐ α ) were determined in patients with EOC. Results . In ascites fluid, a significant increase in 8‐IP versus baseline plasma levels was found ( p = 0.002). There was an important leakage of the TAC levels in ascites fluid versus baseline plasma levels ( p < 0.001). The IL‐6 was elevated in ascites fluid versus baseline plasma levels ( p = 0.003), and there were diminished levels of TNF‐ α in ascites fluid versus baseline plasma levels ( p = 0.001). Discussion . We hypothesize that the ascites fluid influences the behavior and dissemination of the tumor. Deregulation between oxidants, antioxidants, and the proinflammatory cytokines was found to vary among platinum‐sensitive, platinum‐resistant, and platinum‐refractory patients.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".