title: The prognosis analysis of different metastasis pattern in patients with different breast cancer subtypes: a SEER based study.
abstract: Studies on prognosis of different metastasis patterns in patients with different breast cancer subtypes (BCS) are limited. Therefore, we identified 7862 breast cancer patients with distant metastasis from 2010 to 2013 using Surveillance, Epidemiology, wand End Results (SEER) population-based data. The results showed that bone was the most common metastatic site and brain was the least common metastatic site, and the patients with HR+/HER2- occupied the highest metastasis proportion, the lowest metastasis proportion were found in HR-/HER2+ patients. Univariate and multivariate logistic regression analysis were used to analyze the association, and it was found that there were significant differences of distant metastasis patterns in patients with different BCS(different P value). Importantly, univariate and multivariate Cox regression analysis were used to analyze the prognosis. It was proven that only bone metastasis was not a prognostic factor in the HR+/HER2-, HR+/HER2+ and HR-/HER2+ subgroup (all, P > 0.05), and patients with brain metastasis had the worst cancer specific survival (CSS) in all the subgroups of BCS (all, P<0.01). Interestingly, for patients with two metastatic sites, those with bone and lung metastasis had best CSS in the HR+/HER2- (P<0.001) and HR+/HER2+ subgroups (P=0.009) However, for patients with three and four metastatic sites, there was no statistical difference in their CSS (all, P>0.05).
authors.affiliation: Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Shandong 250117, China.
authors.forename: Haiyong
authors.initials: H
authors.lastname: Wang
authors.affiliation: Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
authors.forename: Chenyue
authors.initials: C
authors.lastname: Zhang
authors.affiliation: Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Shandong 250117, China.
authors.forename: Jingze
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Shandong 250117, China.
authors.forename: Li
authors.initials: L
authors.lastname: Kong
authors.affiliation: Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Shandong 250117, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Zhu
authors.affiliation: Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Shandong 250117, China.
authors.forename: Jinming
authors.initials: J
authors.lastname: Yu
mesh_terms: D000328:Adult; D000368:Aged; D014408:Biomarkers, Tumor; D001943:Breast Neoplasms / Q000453:epidemiology / Q000401:mortality* / Q000473:pathology*; D005260:Female; D006801:Humans; D053208:Kaplan-Meier Estimate; D008875:Middle Aged; D060787:Neoplasm Grading; D009362:Neoplasm Metastasis; D011159:Population Surveillance; D011379:Prognosis; D018426:SEER Program; D016019:Survival Analysis; D014481:United States / Q000453:epidemiology; D055815:Young Adult
chemical_list: D014408:Biomarkers, Tumor
keywords: SEER; breast cancer; breast cancer subtypes; metastasis pattern; prognosis