Microarrays in the 2010s: the contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction

Pierre-Emmanuel Colombo ¹, Fernanda Milanezi , Britta Weigelt , Jorge S Reis-Filho

Affiliations

¹ Molecular Pathology Team, Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, London, UK.

PMID: 21787441
111 References
49 citations

Abstract

Breast cancer comprises a collection of diseases with distinctive clinical, histopathological, and molecular features. Importantly, tumors with similar histological features may display disparate clinical behaviors. Gene expression profiling using microarray technologies has improved our understanding of breast cancer biology and has led to the development of a breast cancer molecular taxonomy and of multigene 'signatures' to predict outcome and response to systemic therapies. The use of these prognostic and predictive signatures in routine clinical decision-making remains controversial. Here, we review the clinical relevance of microarray-based profiling of breast cancer and discuss its impact on patient management.

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Towards the early detection of ductal carcinoma (a common type of breast cancer) using biomarkers linked to the PPAR(γ) signaling pathway. Ghazala Sultan, Swaleha Zubair, +2 authors, Inamul Hasan Madar. less Bioinformation, 2020 Jan 07; 15(11). PMID: 31902979 Free PMC article.
Six novel immunoglobulin genes as biomarkers for better prognosis in triple-negative breast cancer by gene co-expression network analysis. Huan-Ming Hsu, Chi-Ming Chu, +7 authors, Yu-Tien Chang. less Sci Rep, 2019 Mar 16; 9(1). PMID: 30872752 Free PMC article.
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SHON expression predicts response and relapse risk of breast cancer patients after anthracycline-based combination chemotherapy or tamoxifen treatment. Tarek M A Abdel-Fatah, Reuben J Broom, +20 authors, Dong-Xu Liu. less Br J Cancer, 2019 Mar 01; 120(7). PMID: 30816325 Free PMC article.
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