Modeling the effect of age in T1-2 breast cancer using the SEER database.

ABSTRACT:

Background

Modeling the relationship between age and mortality for breast cancer patients may have important prognostic and therapeutic implications.

Methods

Data from 9 registries of the Surveillance, Epidemiology, and End Results Program (SEER) of the United States were used. This study employed proportional hazards to model mortality in women with T1-2 breast cancers. The residuals of the model were used to examine the effect of age on mortality. This procedure was applied to node-negative (N0) and node-positive (N+) patients. All causes mortality and breast cancer specific mortality were evaluated.

Results

The relationship between age and mortality is biphasic. For both N0 and N+ patients among the T1-2 group, the analysis suggested two age components. One compone

SUBMITTER: Tai P 

PROVIDER: S-EPMC1277821 | biostudies-literature | 2005 Oct

REPOSITORIES: biostudies-literature