Reliable data on 5- and 10-year survival provide accurate estimates of 15-year survival in estrogen receptor-positive early-stage breast cancer.

Publication Type:

Journal Article

Source:

Breast cancer research and treatment, Volume 121, Issue 3, p.771-6 (2010)

Keywords:

Adult, Aged, Antineoplastic Agents, Hormonal, Breast Neoplasms, Case-Control Studies, Chemotherapy, Adjuvant, Decision Support Techniques, Female, Humans, Life Expectancy, Markov Chains, Middle Aged, Neoplasms, Hormone-Dependent, Receptors, Estrogen, Survival Rate, Tamoxifen, United States

Abstract:

There are few studies of model-based survival projections using early empirical results for estimating long-term survival. Utilizing Early Breast Cancer Trialists' Collaborative Group (EBCTCG) data, a Markov model was generated to compare empirical results with those modeled beyond the empirical result time horizon in estrogen receptor (ER)-positive early-stage breast cancer (ESBC). Modeling 15-year survival based on 5- and 10-year EBCTCG data resulted in an average error estimate in breast cancer mortality of 0.75% [range -0.83 to 2.19%]. Although modeling life expectancy differences ranged from an underestimate of -7.93% to an overestimate of 12.64%, over the span of 15 years this corresponded to a loss of 18 days or a gain of 40 days of life. Reliable early survival data may be used to generate models that accurately estimate 15-year survival in ER-positive ESBC. Whether early survival data can be employed over the lifetime horizon remains to be demonstrated.