Hormone therapy with tamoxifen has long been the established adjuvant treatment for node-positive, estrogen-receptor-positive breast cancer in postmenopausal women. Since 30-40% of these patients fail to respond, reliable outcome prediction is necessary for successful treatment allocation. Using pathobiological variables (available in most clinical records: tumor size, nodal involvement, estrogen and progesterone receptor content) from 596 patients recruited at a comprehensive cancer center, we developed a prediction model which we validated in an independent cohort of 175 patients recruited at a general hospital. Calculated at 3 and 4 years of follow-up, the discrimination indices were 0.716 [confidence limits (CL) 0.641, 0.752] and 0.714 (CL 0.650, 0.750) for the training data, and 0.726 (CL 0.591, 0.769) and 0.677 (CL 0.580, 0.745) for the testing data. Waiting for more effective approaches from genomic and proteomic studies, a model based on consolidated pathobiological variables routinely assessed at relatively low costs may be considered as the reference for assessing the gain of new markers over traditional ones, thus substantially improving the conventional use of prognostic criteria.
A prediction model for breast cancer recurrence after adjuvant hormone therapy / P. Boracchi, D. Coradini, S. Antolini, S. Oriana, R. Dittadi, M. Gion, M.G. Daidone, E. Biganzoli. - In: THE INTERNATIONAL JOURNAL OF BIOLOGICAL MARKERS. - ISSN 0393-6155. - 23:4(2008), pp. 199-206.
|Titolo:||A prediction model for breast cancer recurrence after adjuvant hormone therapy|
BORACCHI, PATRIZIA (Primo)
BIGANZOLI, ELIA (Ultimo)
|Parole Chiave:||Adjuvant tamoxifen; Breast cancer; Nomogram; Relapse prediction|
|Settore Scientifico Disciplinare:||Settore MED/01 - Statistica Medica|
|Data di pubblicazione:||2008|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.5301/JBM.2009.457|
|Appare nelle tipologie:||01 - Articolo su periodico|