• Title of article

    Luminal (Her2 negative) prognostic index and survival of breast cancer patients

  • Author/Authors

    Chen، نويسنده , , Xuesong and Cong، نويسنده , , Yingying and Pan، نويسنده , , Lihua and Jiang، نويسنده , , Ying and Meng، نويسنده , , Qingwei and Sun، نويسنده , , Lichun and Pang، نويسنده , , Hui and Zhao، نويسنده , , Yanbin and Dong، نويسنده , , Xiaoqun and Cai، نويسنده , , Li، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    5
  • From page
    286
  • To page
    290
  • Abstract
    AbstractPurpose oup of luminal (Her2 negative) is distinguished from other subtypes of breast cancer. We aimed to produce a prognostic index specific for luminal (Her2 negative) subtype breast cancer that could assist clinical treatment. s st set comprised 406 consecutive luminal (Her2 negative) breast cancer patients. The relationship of 11 clinicopathologic factors including survivin with the 5-year disease-free survival was analyzed. s variate analysis, TNM stage, surgery, tumor size, lymph node involvement, and survivin expression were prognostic factors. In multivariate analysis, tumor size [HR (95% CI): 1.98 (1.12–3.49), p = 0.019], the number of lymph node metastasis [HR (95% CI): 1.75 (1.33–2.29), p < 0.0001] and the expression of progesterone receptor [HR (95% CI): 0.58 (0.36–0.95), p = 0.029] can independently predict prognosis. Prognostic index (PI) was calculated as 0.68 × tumor size + 0.56 × the number of lymph node metastasis − 0.54 × PR. According to the PI, patients were categorized into three groups: low, middle, and high risk group with the 5-year disease-free survival rates of 91.91%, 84.97% and 70.47%, respectively (P < 0.001). In the validation set, the luminal prognostic index (LPI) remained significant. sion I may be a useful tool for evaluating the outcome of patients with luminal (Her-2 negative) breast cancer.
  • Keywords
    Prognostic index , Survivin , progesterone receptor , Luminal , breast cancer
  • Journal title
    Cancer Epidemiology
  • Serial Year
    2014
  • Journal title
    Cancer Epidemiology
  • Record number

    1766810