Research article
A divergent role for estrogen receptor-beta in node-positive and node-negative breast cancer classified according to molecular subtypes: an observational prospective study
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* Corresponding author: Marcella Mottolese mottolese@ifo.it
1 Pathology Department, Regina Elena Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy
2 Medical Oncology Department, Regina Elena Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy
3 Regina Elena Cancer Institute, Via delle Messi d'oro 156, 00158 Rome, Italy
Breast Cancer Research 2008, 10:R74 doi:10.1186/bcr2139
See related editorial by Speirs, http://breast-cancer-research.com/content/10/5/111
Published: 4 September 2008Additional files
Additional file 1:
Classification and Regression Tree (C&RT) analysis is applied to generate the ER-beta cut off percentage. Diagram shows diagnostic algorithm, generated by Answer-Tree 3.1 software, Statistical Package for the Social Sciences. We introduced into the model three variables (nodal status, ER-beta expression, relapses). The model indicated that in node negative patients the highest percentage of relapses occurred when ER-beta was positive in less than 17.5% of neoplastic cells whereas in node positive patients the highest percentage of relapses occurred when ER-beta was positive in more than 12.5% of neoplastic cells. We chose as cut off 20% being the percentage of ER-beta positivity which includes both values. Abbreviations: N-, node negative; N+, node positive; No = absence of recurrences; Yes = presence of recurrences.
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Additional file 2:
Distribution of the 109 recurrences occurred in the 728 breast cancer patients analyzed for DFS. The table summarizes the type and the site of recurrences including local, distant metastases and contralateral cancers.
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