Original Report

Breast Cancer Research and Treatment

, Volume 100, Issue 1, pp 121-126

First online:

Effects of Estrogen Receptor Expression and Histopathology on Annual Hazard Rates of Death from Breast Cancer

  • William F. AndersonAffiliated withDHHS/NIH/NCI/Division of Cancer Epidemiology and Genetics, Biostatistics Branch Email author 
  • , Bingshu E. ChenAffiliated withDHHS/NIH/NCI/Division of Cancer Epidemiology and Genetics, Biostatistics Branch
  • , Ismail JatoiAffiliated withDepartment of Surgery National Naval Medical Center and Uniformed Services, University of the Health Sciences
  • , Philip S. RosenbergAffiliated withDHHS/NIH/NCI/Division of Cancer Epidemiology and Genetics, Biostatistics Branch

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Abstract

Background

Breast cancer incidence rates vary according to estrogen receptor expression (ER) and histopathology. We hypothesized that annual mortality rates from breast cancer after initial diagnosis (hazard rates) might also vary by ER and histopathology.

Methods

We accessioned the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER, 1992–2002) program to estimate hazard rates according to ER (positive and negative) and histopathology (duct, tubular, lobular, medullary, inflammatory, papillary, and mucinous types). We used spline functions to model hazard rates free of strongly parametric assumptions for ER negative and positive cases overall and by histopathology.

Results

Hazard rates for ER negative and ER positive cases were distinct and non-proportional. At 17 months, ER negative hazard rates peaked at 7.5% per year (95% CI, 7.3–7.8% per year) then declined, whereas ER positive hazard rates lacked a sharp early peak and were comparatively constant at 1.5–2% per year. Falling ER negative and constant ER positive hazard rates crossed at 7 years; after which, prognosis was better for ER negative cases. Among ER positive and negative cases, there were proportional and non-proportional hazards according to histopathologic type, but the two basic ER-associated patterns were maintained.

Conclusions

Hazard rates differed quantitatively and qualitatively according to ER and histopathology. These large-scale population-based results seem consistent with genomic studies, demonstrating two main classes of breast cancers with distinct prognoses according to ER expression.

Key words

Hazard function Hazard regression Survival analysis Non-proportional hazards Risk factors