摘要
目的探讨乳腺佩吉特病患者的临床特征及预后。方法收集71例乳腺佩吉特病患者的临床资料,分析患者的临床特征及预后,采用多因素Cox回归分析方法对乳腺佩吉特病患者预后的影响因素进行分析。结果71例乳腺佩吉特病患者,诊断时平均年龄56.42岁(32~89岁)。7例患者为单纯佩吉特病,36例患者伴有浸润癌,28例患者伴有原位癌。71例乳腺佩吉特病患者,中位随访时间为108个月(24~245个月),2、5年无病生存率分别为91.5%(65/71)和62.0%(44/71)。T分期晚、N分期晚及孕激素受体(PR)阳性均为乳腺佩吉特病合并浸润癌患者预后的危险因素(P﹤0.05)。N分期晚为乳腺佩吉特病患者预后的危险因素(P﹤0.05)。结论N分期是乳腺佩吉特病患者预后的影响因素,T、N分期及PR状态是乳腺佩吉特病合并浸润癌患者预后的影响因素。
Objective To investigate the clinical characteristic and prognosis of patients with Paget’s disease of the breast.Method The clinical data of 71 patients with Paget’s disease of the breast were collected,and the clinical characteristics and prognosis of the patients were analyzed.Multivariate Cox regression analysis method was used to analyze the prognostic influencing factors of patients with Paget’s disease of the breast.Result The mean age of 71 patients with Paget’s disease of the breast at diagnosis was 56.42 years(32-89 years).There were 7 patients with simple Paget’s disease,36 patients with invasive carcinoma,and 28 patients with carcinoma in situ.The median follow-up time of 71 patients with Paget’s disease of the breast was 108 months(24-245 months),and the 2-,5-year disease-free survival rates were 91.5%(65/71)and 62.0%(44/71),respectively.Advanced T stage,advanced N stage and positive progesterone receptor(PR)were risk factors for the prognosis of Paget’s disease of the breast with invasive carcinoma(P<0.05).Advanced N stage was risk factor for the prognosis of Paget’s disease of the breast(P<0.05).Conclusion N stage is the prognostic factor of patients with Paget’s disease of the breast,and T,N stages and PR status are prognostic factors of patients with Paget’s disease of the breast and invasive carcinoma.
作者
朱亚琦
张正奎
叶京明
ZHU Yaqi;ZHANG Zhengkui;YE Jingming(Department of Breast Surgery,Peking University First Hospital,Beijing 100034,China;Department of Plastic Surgery,Peking University First Hospital,Beijing 100034,China)
出处
《癌症进展》
2024年第5期485-489,共5页
Oncology Progress
关键词
乳腺癌
乳腺佩吉特病
临床特征
预后
breast cancer
Paget’s disease of the breast
clinical characteristic
prognosis
