Literature DB >> 33226492

Patterns of biomarker expression in patients treated with primary endocrine therapy - a unique insight using core needle biopsy tissue microarray.

R M Parks1,2, M A Albanghali3,4, B M Syed3,5, A R Green3, I O Ellis3, K-L Cheung3.   

Abstract

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.

Entities:  

Keywords:  Core needle biopsy; Older women; Primary breast cancer; Primary endocrine therapy; Tissue microarray

Mesh:

Substances:

Year:  2020        PMID: 33226492      PMCID: PMC7921046          DOI: 10.1007/s10549-020-06023-4

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  34 in total

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Authors:  Lee J Lancashire; Christophe Lemetre; Graham R Ball
Journal:  Brief Bioinform       Date:  2009-03-23       Impact factor: 11.622

2.  High-throughput protein expression analysis using tissue microarray technology of a large well-characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses.

Authors:  Dalia M Abd El-Rehim; Graham Ball; Sarah E Pinder; Emad Rakha; Claire Paish; John F R Robertson; Douglas Macmillan; Roger W Blamey; Ian O Ellis
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3.  REporting recommendations for tumor MARKer prognostic studies (REMARK).

Authors:  Lisa M McShane; Douglas G Altman; Willi Sauerbrei; Sheila E Taube; Massimo Gion; Gary M Clark
Journal:  Breast Cancer Res Treat       Date:  2006-08-24       Impact factor: 4.872

4.  Acquired Resistance of ER-Positive Breast Cancer to Endocrine Treatment Confers an Adaptive Sensitivity to TRAIL through Posttranslational Downregulation of c-FLIP.

Authors:  Luke Piggott; Andreia Silva; Timothy Robinson; Angelica Santiago-Gómez; Bruno M Simões; Michael Becker; Iduna Fichtner; Ladislav Andera; Philippa Young; Christine Morris; Peter Barrett-Lee; Fouad Alchami; Marco Piva; Maria dM Vivanco; Robert B Clarke; Julia Gee; Richard Clarkson
Journal:  Clin Cancer Res       Date:  2018-01-23       Impact factor: 12.531

5.  X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization.

Authors:  Robert L Camp; Marisa Dolled-Filhart; David L Rimm
Journal:  Clin Cancer Res       Date:  2004-11-01       Impact factor: 12.531

Review 6.  Construction of tissue microarrays from core needle biopsies - a systematic literature review.

Authors:  Mohammad Albanghali; Andrew Green; Emad Rakha; Mohamed Aleskandarany; Chris Nolan; Ian Ellis; Kwok-Leung Cheung
Journal:  Histopathology       Date:  2015-10-25       Impact factor: 5.087

Review 7.  Accurate prediction of response to endocrine therapy in breast cancer patients: current and future biomarkers.

Authors:  Cigdem Selli; J Michael Dixon; Andrew H Sims
Journal:  Breast Cancer Res       Date:  2016-12-01       Impact factor: 6.466

8.  Predictive markers of endocrine response in breast cancer.

Authors:  Duniya Mosly; Arran Turnbull; Andrew Sims; Carol Ward; Simon Langdon
Journal:  World J Exp Med       Date:  2018-08-30

9.  Biology of Oestrogen-Receptor Positive Primary Breast Cancer in Older Women with Utilisation of Core Needle Biopsy Samples and Correlation with Clinical Outcome.

Authors:  Ruth M Parks; Mohammad Albanghali; Binafsha M Syed; Andrew R Green; Ian O Ellis; Kwok-Leung Cheung
Journal:  Cancers (Basel)       Date:  2020-07-27       Impact factor: 6.639

Review 10.  Resistance to endocrine therapy in breast cancer: molecular mechanisms and future goals.

Authors:  Małgorzata Szostakowska; Alicja Trębińska-Stryjewska; Ewa Anna Grzybowska; Anna Fabisiewicz
Journal:  Breast Cancer Res Treat       Date:  2018-11-01       Impact factor: 4.872

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