Relationships of ductal carcinoma in situ calcification feature and ER, PR and HER2 expression / 国际肿瘤学杂志

ABSTRACT

Objective To discuss the relationships of ductal carcinoma in situ calcification feature and estrogen receptor (ER),progesterone receptor (PR),human epidermal growth factor receptor 2 (HER2) expression.Methods The mammary gland molybdenum target X-ray results of 226 patients with ductal carcinoma in situ were retrospectively analyzed in our hospital during January 2013 to December 2016.All patients were divided into calcification group (n =110) and no calcium group (n =116).Immunohistochemical method was used to detect the expressions of ER,PR and HER2,and their relationships with calcification feature were analyzed.Results The positive expression rates of ER and PR in calcification group were 72.73％ and 54.55％ significantly higher than those in no calcium group (39.66％ and 38.79％;x2=25.033,P ＜0.001;x2 =5.632,P =0.036).The positive expression rate of HER2 in calcification group was 45.45％,significantly lower than that of the no calcium group (82.76％,x2 =34.358,P ＜ 0.001).According to the single factor analysis,the calcified form (x2 =31.098,P ＜ 0.001;x2 =24.117,P =0.003),distribution (x2=30.272 P＜0.001;x2=11.811,P=0.008),number (x2 =15.533 P＜0.001;x2 =7.875,P=0.019) and concomitant situation (x2 =27.915,P ＜0.001;x2 =7.229,P =0.027) were associated with ER and PR expressions,and the calcified distribution (x2 =8.068,P =0.035),number (x2 =60.768,P ＜0.001) and concomitant situation (x2 =24.915,P ＜ 0.001) were associated with HER2 expression.Logistic regression analysis shows that the small polymorphic form,cluster distribution,number ＞ 30,with mass were the independent prediction factors of ER,PR and HER2 expressions (all P ＜ 0.001).Conclusion The mammary gland molybdenum target calcification features of ductal carcinoma in situ are associated with ER,PR and HER2 expressions,the small polymorphic form,cluster distribution,number ＞ 30,with mass can be used as important reference indexes to preliminarily predict biological therapy and expressions of prognostic factors.