College of Public Health, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China.
Department of Urology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China.
PeerJ. 2024 Jul 26;12:e17827. doi: 10.7717/peerj.17827. eCollection 2024.
Insulin resistance is associated with the development and progression of various cancers. However, the epidemiological evidence for the association between insulin resistance and prostate cancer is still limited.
To investigate the associations between insulin resistance and prostate cancer prevalence.
A total of 451 patients who were pathologically diagnosed with prostate cancer in the First Affiliated Hospital of Xinjiang Medical University were selected as the case population; 1,863 participants who conducted physical examinations during the same period were selected as the control population. The metabolic score for insulin resistance (METS-IR) was calculated as a substitute indicator for evaluating insulin resistance. The Chi-square test and Mann-Whitney U test were performed to compare the basic information of the case population and control population. Univariate and multivariate logistic regression analyses to define factors that may influence prostate cancer prevalence. The generalized additive model (GAM) was applied to fit the relationship between METS-IR and prostate cancer. Interaction tests based on generalized additive model (GAM) and contour plots were also carried out to analyze the interaction effect of each factor with METS-IR on prostate cancer.
METS-IR as both a continuous and categorical variable suggested that METS-IR was negatively associated with prostate cancer prevalence. Smoothed curves fitted by generalized additive model (GAM) displayed a nonlinear correlation between METS-IR and prostate cancer prevalence ( < 0.001), and presented that METS-IR was negatively associated with the odds ratio (OR) of prostate cancer. The interaction based on the generalized additive model (GAM) revealed that METS-IR interacted with low-density lipoprotein cholesterol (LDL-c) to influence the prostate cancer prevalence ( = 0.004). Contour plots showed that the highest prevalence probability of prostate cancer was achieved when METS-IR was minimal and low-density lipoprotein cholesterol (LDL-c) or total cholesterol (TC) was maximal.
METS-IR is nonlinearly and negatively associated with the prevalence of prostate cancer. The interaction between METS-IR and low-density lipoprotein cholesterol (LDL-c) has an impact on the prevalence of prostate cancer. The study suggests that the causal relationship between insulin resistance and prostate cancer still needs more research to confirm.
胰岛素抵抗与各种癌症的发生和发展有关。然而，胰岛素抵抗与前列腺癌之间的关联的流行病学证据仍然有限。
研究胰岛素抵抗与前列腺癌患病率之间的关系。
选择新疆医科大学第一附属医院经病理诊断为前列腺癌的 451 例患者为病例人群；选择同期体检的 1863 例参与者作为对照人群。计算代谢评分胰岛素抵抗（METS-IR）作为评估胰岛素抵抗的替代指标。采用卡方检验和曼-惠特尼 U 检验比较病例人群和对照人群的基本信息。采用单因素和多因素 logistic 回归分析确定可能影响前列腺癌患病率的因素。应用广义相加模型（GAM）拟合 METS-IR 与前列腺癌的关系。基于广义相加模型（GAM）的交互检验和轮廓图也用于分析各因素与 METS-IR 对前列腺癌的交互作用。
METS-IR 作为连续变量和分类变量均提示 METS-IR 与前列腺癌患病率呈负相关。广义相加模型（GAM）拟合的平滑曲线显示 METS-IR 与前列腺癌患病率之间存在非线性关系（<0.001），且 METS-IR 与前列腺癌的比值比（OR）呈负相关。基于广义相加模型（GAM）的交互检验表明，METS-IR 与低密度脂蛋白胆固醇（LDL-c）相互作用影响前列腺癌患病率（=0.004）。轮廓图显示，当 METS-IR 最低且低密度脂蛋白胆固醇（LDL-c）或总胆固醇（TC）最高时，前列腺癌的患病率最高。
METS-IR 与前列腺癌的患病率呈非线性负相关。METS-IR 与低密度脂蛋白胆固醇（LDL-c）的相互作用对前列腺癌的患病率有影响。研究表明，胰岛素抵抗与前列腺癌之间的因果关系仍需要更多的研究来证实。
