Markers of steroid receptor, kinase signalling pathways and Ki-67 expression in relation to tamoxifen sensitivity and resistance

Background: It remains clinically important to identify ER positive breast cancers likely to respond to tamoxifen (TAM) and so we aimed to select a group of biomarkers able to predict response. We also assessed whether data from different sample types [tumor microarrays (TMAs) and core biopsies] or tumor sites could be combined for biomarker studies. Methods: A total of 123 endocrine treatment naïve patients with known ER and HER2 status treated with TAM had paraffin-embedded tumor tissue available either as TMAs (n=102) or core biopsies (n=21). TMA cores were collected from three different tumor sites, two central and one peripheral. Ten biomarkers were evaluated by immunohistochemistry, for % positivity and/or H-Score, comprising: ER, HER2, Ki67, phosphorylated forms of ER (Ser118), IGF1R, PRAS40, Akt & MAPK (ERK1/2), and PTEN & androgen receptor expression (AR). Each tumor was analysed for Akt1 E17K somatic mutation using BEAMing technology. Patient outcome was assessed by clinical benefit (CB) rate & survival analyses [time to progression (TTP) and time to death (TTD)]. Results: There was no significant difference in % positivity or H-Score between central & peripheral tumor sites for all biomarkers examined. After False Discovery Rate (FDR) correction differences (P<0.05) were observed between the two central samples only for HER2 & pER118 and pPRAS40. However, differences in biomarker expression were common between core biopsies and TMAs. Only 2/123 (1.6%) tumors had Akt1 E17K mutations. Univariate and multivariate analyses identified that lower levels of PTEN and higher levels of Ki-67 (% positivity) were predictive of poor outcome (TTP & TTD) following TAM. Higher ER. lower Ki-67 and AR/ER ratio