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Correlation of Serum Adiponectin and Metabolic Syndrome Components With Prostate Cancer Susceptibility and
Lixian Cheng1, Xiaoming Zhou2, Jinshun Pan3
1Key Laboratory of Functional and Clinical Translational Medicine, Xiamen Medical College, 361000 Xiamen, Fujian, China.
Background:
To investigate the relationship between serum adiponectin, components of metabolic syndrome, and susceptibility to prostate cancer (PCa), and to construct a predictive nomogram model.
Methods:
A retrospective, 1:1 individual-matched case-control study was conducted. A total of 152 patients diagnosed with PCa at our hospital between January 2018 and May 2025 were enrolled as the PCa group, and 152 age-matched healthy males were selected as the control group. Serum adiponectin levels, metabolic syndrome components, and general demographic data were compared between the two groups. A nomogram prediction model was constructed based on conditional logistic regression analysis.
Results:
Multivariate conditional logistic regression analysis showed glycated haemoglobin (OR = 6.360), waist-to-hip ratio (OR = 2.394), waist circumference (OR = 1.457), and triglycerides (OR = 3.777) as independent risk factors for PCa susceptibility (all p < 0.05), whereas high-density lipoprotein (OR = 0.341) and adiponectin (OR = 0.513) were identified as independent protective factors (all p < 0.05). The nomogram model constructed based on these six indicators predicted PCa susceptibility with an area under the curve (AUC) of 0.869 (95% CI: 0.843-0.894). Bootstrap validation indicated good model fit, and decision curve analysis suggested a clinical net benefit of the model.
Conclusions:
Serum adiponectin and components of metabolic syndrome are closely associated with PCa susceptibi.
