Biological characteristics of endocrine(HER2-negative)breast cancer patients with different expression states of PR
Purpose To investigate the clinicopathological characteristics and prognosis of endocrine-type(HER2-nega-tive)breast cancer patients with different PR expression levels,aiming to provide more precise stratification and individualized endocrine therapy guidance.Methods Clinical data and fol-low-up of 152 patients with endocrine-type(HER2-negative)breast cancer were retrospectively collected.Immunohistochem-istry EnVision two-step method was used to detect the expression of ER,PR,HER2,Ki67,etc.,FISH was used to detect the HER2 gene,and fluorescence polymerase chain reaction method was carried out to detect the PIKC3A gene mutation.The rela-tionship between the PR expression and the clinicopathological features and prognosis was analysed.Results There were 50 case(32.9％)in the low PR expression group,24 cases(15.8％)in the medium PR expression group and 78 cases(51.3％)in the high PR expression group.PIK3CA mutation showed significant differences among the groups(P=0.03).PR expression levels was significanlly correlated with disese-free survival(DFS)of patients.Univariate Cox regression analysis revealed that PR expression(HR=0.46,P=0.023),tumor N stage(HR=4.63,P＜0.001),and surgery history(HR=1.81,P=0.049)significantly affected survival rates.Multiva-riate analysis confirmed that PR expression(HR=0.46,P=0.023)and tumor N stage(HR=5.46,P＜0.001)were sig-nificantly associated with survival rates.Log-rank test results in-dicated there were significant survival differences between groups(P=0.043).Conclusion High PR expression patients have higher PIK3CA mutation rates,and PR expression levels play an important role in the prognosis of endocrine-type(HER2-nega-tive)breast cancer patients.High PR expression patients are potential beneficiaries of combined hormone receptor antagonists and PIK3CA inhibitors,providing significant guidance for indi-vidualized endocrine therapy.
breast neoplasmprogesterone receptorclinico-pathological featuresPIK3CAsurvival rate
万方数据
维普
