Department of Orthopedics Surgery, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Department of Medical Oncology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Sci Rep. 2020 Jun 4;10(1):9104. doi: 10.1038/s41598-020-64073-6.
Prostate cancer (PCa) is the leading cause of cancer-related death among men worldwide. Knowledge of the prognostic factors of PCa and the bone metastasis pattern of patients would be helpful for patients and doctors. The data of 177,255 patients with prostate cancer diagnosed between 2010 and 2013 with at least five years of follow-up were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. Multivariate Cox regression analysis was used to determine the predictive value of patients' characteristics for survival after adjusting for other variates. Multivariate logistic regression analysis was used to evaluate the odds ratio of bone metastasis in PCa patients. The predictive value of age, race, marital status, and tumor characteristics were compared. The survival of patients with different socioeconomic statuses and bone metastasis statuses was compared by Kaplan-Meier analysis. A total of 1,335 patients with prostate cancer diagnosed between 2009 and 2015 were enrolled from the Second Affiliated Hospital of Zhejiang University School of Medicine. The survival of patients with different prostate-specific antigen (PSA) levels, Gleason scores, marital statuses and bone metastasis statuses was compared by Kaplan-Meier analysis. In SEER database, 96.74% of patients were 50 years of age or older. Multivariate Cox analysis revealed that for PCa patients, age at presentation, older age, single marital status, lower socioeconomic status, higher PSA level, T1 and N0 stage, and bone metastasis were independent risk factors for increased mortality. Multivariate logistic regression analysis revealed that patients who were married, were living in urban areas, had lower PSA levels, underwent surgery, and radiation had lower OR factors for bone metastasis. Asian or Pacific Islander, better socioeconomic status, lived in urban areas, married marital status, lower PSA levels and lower Gleason scores were better prognostic factors in PCa. Additionally, patients with single or divorced marital status, who were living in rural places had higher PSA levels, and T1 and N0 stages have a high OR for bone metastasis.
前列腺癌（PCa）是全球男性癌症相关死亡的主要原因。了解 PCa 的预后因素和患者的骨转移模式将有助于患者和医生。从监测、流行病学和最终结果（SEER）数据库中检索了 2010 年至 2013 年间诊断为前列腺癌的 177255 名患者的数据，这些患者至少随访了 5 年。使用多变量 Cox 回归分析确定了患者特征对调整其他变量后生存的预测价值。使用多变量逻辑回归分析评估了 PCa 患者骨转移的优势比。比较了年龄、种族、婚姻状况和肿瘤特征的预测价值。通过 Kaplan-Meier 分析比较了不同社会经济地位和骨转移状态患者的生存情况。共纳入浙江医科大学第二附属医院 2009 年至 2015 年间诊断为前列腺癌的 1335 例患者。通过 Kaplan-Meier 分析比较了不同 PSA 水平、Gleason 评分、婚姻状况和骨转移状态患者的生存情况。在 SEER 数据库中，96.74%的患者年龄在 50 岁或以上。多变量 Cox 分析显示，对于 PCa 患者，发病时的年龄、年龄较大、单身婚姻状况、较低的社会经济地位、较高的 PSA 水平、T1 和 N0 期以及骨转移是增加死亡率的独立危险因素。多变量逻辑回归分析显示，已婚、居住在城市地区、PSA 水平较低、接受手术和放疗的患者，其骨转移的 OR 因素较低。亚洲或太平洋岛民、较好的社会经济地位、居住在城市地区、已婚的婚姻状况、较低的 PSA 水平和较低的 Gleason 评分是 PCa 的较好预后因素。此外，单身或离婚的婚姻状况、居住在农村地区、PSA 水平较高以及 T1 和 N0 期的患者，骨转移的 OR 较高。
