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Updated: Nov 29, 2025
A Next-generation Tissue Microarray ngTMA Protocol for Biomarker Studies
Published on: September 23, 2014
Patterns of biomarker expression in patients treated with primary endocrine therapy - a unique insight using core
R M Parks1,2, M A Albanghali3,4, B M Syed3,5
1Nottingham Breast Cancer Research Centre, University of Nottingham, Nottingham, UK. ruth.parks@nottingham.ac.uk.
Purpose:
Prediction of response to primary endocrine therapy (PET) in older women is based on measurement of oestrogen receptor (ER), progesterone receptor (PgR) and human epidermal growth factor (HER)-2. This study uses a unique method for construction of core needle biopsy (CNB) tissue microarray (TMA), to correlate expression of a panel of 17 biomarkers with clinical outcome, in patients receiving PET.
Methods:
Over 37 years (1973-2010), 1758 older (≥ 70 years) women with operable primary breast cancer were managed in a single institution. Of these, 693 had sufficient good-quality CNB to construct TMA, of which 334 had ER-positive tumours treated by PET with a minimum of 6-month follow-up. A panel of biomarkers was measured by immunohistochemistry (ER, PgR, HER2, Ki-67, p53, CK5/6, CK 7/8, EGFR, BCL-2, MUC1, VEGF, LKB1, BRCA1, HER3, HER4, PTEN and AIB1). Expression of each biomarker was dichotomised into 'low' or 'high' based on breast cancer-specific survival (BCSS).
Results:
From the panel of biomarkers, multivariate analysis showed: High ER (p = 0.003) and PgR (p = 0.002) were associated with clinical benefit of PET at 6 months, as opposed to progressive disease. High ER (p = 0.0023), PgR (p < 0.001) and BCL-2 (p = 0.043) and low LKB1 (p = 0.022) were associated with longer time to progression. High PgR (p < 0.001) and low MUC1 (p = 0.021) were associated with better BCSS. Expression of other biomarkers did not show any significant correlation.
Conclusions:
In addition to ER and PgR; MUC1, BCL-2 and LKB1 are important in determining the outcome of PET in this cohort.
