Wieder Robert, Shafiq Basit, Adam Nabil
1. Department of Medicine, Rutgers New Jersey Medical School and the New Jersey Medical School Cancer Center, Rutgers Biomedical and Health Sciences.
2. Rutgers Institute for Data Science, Learning, and Applications and the Center for Information Management, Integration, and Connectivity, Rutgers Newark.
J Cancer. 2016 Jul 18;7(12):1587-1598. doi: 10.7150/jca.16012. eCollection 2016.
: African American race negatively impacts survival from localized breast cancer but co-variable factors confound the impact. Data sets were analyzed from the Surveillance, Epidemiology and End Results (SEER) directories from 1973 to 2011 consisting of patients with designated diagnosis of breast adenocarcinoma, race as White or Caucasian, Black or African American, Asian, American Indian or Alaskan Native, Native Hawaiian or Pacific Islander, age, stage I, II or III, grade 1, 2 or 3, estrogen receptor or progesterone receptor positive or negative, marital status as single, married, separated, divorced or widowed and laterality as right or left. The Cox Proportional Hazards Regression model was used to determine hazard ratios for survival. Chi square test was applied to determine the interdependence of variables found significant in the multivariable Cox Proportional Hazards Regression analysis. Cells with stratified data of patients with identical characteristics except African American or Caucasian race were compared. Age, stage, grade, ER and PR status and marital status significantly co-varied with race and with each other. Stratifications by single co-variables demonstrated worse hazard ratios for survival for African Americans. Stratification by three and four co-variables demonstrated worse hazard ratios for survival for African Americans in most subgroupings with sufficient numbers of values. Differences in some subgroupings containing poor prognostic co-variables did not reach significance, suggesting that race effects may be partly overcome by additional poor prognostic indicators. African American race is a poor prognostic indicator for survival from breast cancer independent of 6 associated co-variables with prognostic significance.
非裔美国人种对局部乳腺癌的生存有负面影响,但协变量会混淆这种影响。分析了1973年至2011年监测、流行病学和最终结果(SEER)数据库中的数据集,这些数据集包含被指定诊断为乳腺腺癌的患者,人种分为白人或高加索人、黑人或非裔美国人、亚洲人、美洲印第安人或阿拉斯加原住民、夏威夷原住民或太平洋岛民,以及年龄、I期、II期或III期、1级、2级或3级、雌激素受体或孕激素受体阳性或阴性、婚姻状况(单身、已婚、分居、离婚或丧偶)和肿瘤位于右侧或左侧。使用Cox比例风险回归模型来确定生存风险比。应用卡方检验来确定在多变量Cox比例风险回归分析中发现的显著变量之间的相互依赖性。比较了除非裔美国人或高加索人人种外具有相同特征患者的分层数据单元格。年龄、分期、分级、雌激素受体和孕激素受体状态以及婚姻状况与种族以及彼此之间存在显著的协变关系。单协变量分层显示非裔美国人的生存风险比更差。三变量和四变量分层显示,在大多数有足够数量值的亚组中,非裔美国人的生存风险比更差。一些包含不良预后协变量的亚组中的差异未达到显著水平,这表明种族影响可能会被其他不良预后指标部分克服。非裔美国人种是乳腺癌生存的不良预后指标,独立于6个具有预后意义的相关协变量。