Abstract:

Objective To investigate the clinical application value of bone turnover markers and predic⁃ tion model established by bone turnover markers and PSA and IL⁃6 for prostate cancer bone metastasis. Methods A comparative analysis was conducted for the expression level of serum N ⁃MID Osteocalcin（Osteocalcin），total procollagen type 1 amino⁃terminal pro⁃peptide（TPINP），β⁃isomerized C⁃terminal pro⁃peptide type I collagen Frag⁃ ment（β⁃CTx），total prostate specific antigen（tPSA），and interleukin⁃6（IL⁃6）in prostate cancer patients with or without bone metastasis. Logistic regression analysis was used to screen out the relevant risk factors for prostate cancer bone metastasis from the above serum markers；and based on the screened risk factors，a prediction model for prostate cancer bone metastasis was constructed，whose diagnostic efficacy for prostate cancer bone metastasis was evaluated by ROC curve. Results The expression level of serum Osteocalcin，TPINP，β⁃CTx，tPSA and IL⁃6 in prostate cancer patients with bone metastasis were significantly higher than that in those without bone metastasis （P < 0.05）；among them，serum Osteocalcin，TPINP，tPSA，and IL⁃6 were risk factors for prostate cancer bone metastasis ，with OR value of 1.088，1.021，1.037，1.415 respectively（P<0.05）. the prediction model constructed by the above risk factors was logit（P）=（-5.058）+0.085×（Osteocalcin）+0.020×（TPINP）+0.037×（tPSA）+0.347× （IL⁃6），and the area under the curve（AUC）of this model in the diagnosis of prostate cancer bone metastasis was 0.908（P < 0.001）. Conclusion Abnormal bone metabolism exists in patients with prostate cancer bone metasta⁃ sis，and the prediction model constructed by Osteocalcin，TPINP，tPSA，and IL ⁃6 can predict the occurrence of prostate cancer bone metastasis.

Key words:

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prostate cancer, bone metastases, interleukin ?6, bone turnover markers, predictive model, diagnosis