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前列腺小细胞癌的预后因素分析 被引量:1

Prognostic factor analysis of patients with small cell carcinoma of the prostate
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摘要 目的探究影响前列腺小细胞癌(SCCP)患者预后的危险因素。方法回顾性分析SEER数据库中1973—2015年诊断并随访的456例SCCP患者的临床资料。采用Kaplan-Meier生存分析方法计算患者的总体生存率和肿瘤特异性生存率,并对随访数据进行单因素和多因素回归分析,分析因素包括婚姻状况、年龄、种族、诊断年份、组织病理学分型、TNM分期、治疗方式和前列腺特异性抗原水平。结果SCCP患者的5年总体生存率为11.8%,5年肿瘤特异性生存率为14.7%。多因素COX回归分析显示,种族、诊断年份、组织病理学分型、M分期和治疗方式对患者的生存预后有统计学意义(P值均<0.05),是影响SCCP患者预后的独立危险因素。结论种族、诊断年份、组织病理学分型、M分期和治疗方式与SCCP患者的预后密切相关。早期诊断与临床干预对于改善SCCP患者的预后具有重要意义。 Objective To investigate the independent prognostic factors for small cell carcinoma of the prostate(SCCP).Methods Clinical data of 456 patients with definite pathological diagnosis of SCCP were collected from Surveillance,Epidemiology,and End Results(SEER)database between 1973 and 2015.Overall survival(OS)and cancer-specific survival(CSS)rates were calculated by Kaplan-Meier survival analysis.Univariable analysis and Cox regression model were used to analyze the relationship between the influencing factors and prognosis.Relevant factors included marital status,age,race,year of diagnosis,tumor grade,tumor TNM stage,therapy method,and prostate-specific antigen(PSA).Results Five-year OS and CSS rates were 11.8%and 14.7%,respectively.COX regression analysis showed that race,year of diagnosis,tumor grade,tumor M stage and therapy method were independent risk factors of the prognosis of SCCP(P<0.05).Conclusion The race,year of diagnosis,tumor grade,tumor M stage and therapy method are closely related to the prognosis of SCCP.Early diagnosis and clinical intervention are very important to improve the prognosis of SCCP patients.
作者 夏宇 杨安卿 徐丹枫 黄滔 楚晨龙 赵晨晖 马斌斌 崔仁杰 许永之 余忠伟 周文龙 XIA Yu;YANG Anqing;XU Danfeng;HUANG Tao;CHU Chenlong;ZHAO Chenhui;MA Binbin;CUI Renjie;XU Yongzhi;YU Zhongwei;ZHOU Wenlong(Department of Urology,Luwan Branch of Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200030,China)
出处 《上海医学》 CAS 北大核心 2020年第10期600-604,共5页 Shanghai Medical Journal
关键词 前列腺小细胞癌 预后 生存率分析 治疗 Small cell carcinoma of the prostate Prognosis Survival analysis Treatment
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