Association of visceral obesity indicators with prostate cancer: a cross-sectional study from Xinjiang
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View abstract on PubMed
Summary
This summary is machine-generated.Visceral obesity indicators like VAI and CMI are linked to increased prostate cancer risk. These metrics show promise as potential biomarkers for assessing prostate cancer risk.
Area Of Science
- Urology
- Oncology
- Metabolic Syndrome
Background
- Prostate cancer (PCa) risk is linked to obesity, particularly visceral obesity.
- Existing visceral obesity indices (VAI, CMI, LAP) have underexplored associations with PCa.
- This study examines the relationship between VAI, CMI, LAP, and PCa risk.
Purpose Of The Study
- To investigate the association between visceral adiposity index (VAI), cardiometabolic index (CMI), and lipid accumulation product (LAP) and prostate cancer (PCa) risk.
- To evaluate the predictive efficacy of these obesity indicators for PCa.
- To assess the robustness and clinical utility of VAI and CMI as potential PCa biomarkers.
Main Methods
- Cross-sectional study of 730 participants (102 PCa patients, 102 controls) using propensity score matching.
- Calculation of VAI, CMI, and LAP from anthropometric and biochemical data.
- Logistic regression, restricted cubic spline (RCS), and ROC curve analyses to assess associations and predictive values.
Main Results
- VAI, CMI, and LAP were significantly higher in PCa patients compared to controls.
- Positive associations were found between VAI, CMI, LAP, and PCa risk, with VAI and CMI showing robust associations.
- Higher quartiles of VAI, CMI, and LAP correlated with increased PCa risk (e.g., OR for Q4 VAI: 9.07).
- RCS analysis revealed nonlinear associations for VAI and CMI, and linear for LAP.
- ROC analysis indicated moderate predictive values (AUCs: VAI=0.721, CMI=0.711, LAP=0.593).
Conclusions
- Visceral obesity indicators, specifically VAI and CMI, are closely associated with prostate cancer.
- VAI and CMI demonstrate good predictive value and robustness for assessing PCa risk.
- These indices can serve as potential biomarkers for prostate cancer risk assessment.
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