摘要
目的 探究乳腺黏液腺癌(mucinous carcinoma,MC)和髓样乳腺癌(medullary breast carcinoma,MBC)患者临床病理特征和预后之间的差异性。方法 选取乳腺癌患者116例,其中61例MC患者,55例MBC患者。分析统计患者的临床病理数据及随访信息,比较MC和MBC患者临床病理特征、分子分型及预后的差异性。结果 MC患者年龄显著大于MBC患者(χ^(2)=3.497,P=0.013),且MC患者以绝经期为主(χ^(2)=4.587,P=0.004)。MC患者以ER阳性(χ^(2)=5.235,P=0.001)、PR阳性(χ^(2)=4.973,P=0.003)和HER-2阴性(χ^(2)=2.391,P=0.058)为主。同时,MC Luminal-A型显著多于MBC(66%vs.45%,P=0.031);相反,MC ERBB2阳性型显著少于MBC(8%vs.27%,P=0.001)。生存分析显示:MC和MBC患者的5年OS分别为92.375%和78.744%(χ^(2)=1.351,P=0.245);5年DFS分别为82.476%和62.995%(χ^(2)=0.159,P=0.689)。结论 MC和MBC特征各异,但单纯型MC OS和DFS优于MBC。
Objective To explore the difference between the clinicopathological characteristics and prognosis of patients with mucinous carcinoma(MC) and medullary breast carcinoma(MBC).Methods A total of 116 breast cancer patients were selected;61 of them were MC patients,and 55 MBC patients were used as controls.Analyze the clinical pathological data and follow-up information of patients,and compare the differences in clinicopathological characteristics,molecular classification and prognosis of MC and MBC patients.Results MC patients were significantly older than MBC patients(χ^(2)=3.497,P=0.013),and MC patients were mainly menopausal(χ^(2)=4.587,P=0.004).MC patients were mainly ER positive(χ^(2)=5.235,P=0.001),PR positive(χ^(2)=4.973,P=0.003) and HER-2 negative(χ^(2)=2.391,P=0.058).At the same time,MC Luminal-A type was significantly more than MBC(66% vs.45%,P=0.031);on the contrary,MC ERBB2+ positive type was significantly less than MBC(8% vs.27%,P=0.001).Survival analysis showed that the 5-year OS of MC and MBC patients were 92.375% and 78.744%(χ^(2)=1.351,P=0.245);the 5-year DFS were 82.476% and 62.995%(χ^(2)=0.159,P=0.689).Conclusion MC and MBC have different characteristics,but simple MC OS and DFS are better than MBC.
作者
帅晋豪
张敏
王鹏
季昳弛
SHUAI Jinhao;ZHANG Min;WANG Peng(Meishan Hospital,West China Hospital of Sichuan University,Meishan,620000)
出处
《实用癌症杂志》
2023年第8期1349-1352,共4页
The Practical Journal of Cancer
关键词
乳腺黏液腺癌
髓样乳腺癌
病理特征
分子分型
预后
Mucinous adenocarcinoma
Medullary breast cancer
Pathological features
Molecular typing
Prognosis