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Precision Medicine in Breast Cancer: Genes, Genomes, and the Future of Genomically Driven Treatments

Overview
Journal Curr Oncol Rep
Publisher Current Science
Specialty Oncology
Date 2015 Feb 25
PMID 25708799
Citations 12
Authors
Affiliations
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Abstract

Remarkable progress in sequencing technology over the past 20 years has made it possible to comprehensively profile tumors and identify clinically relevant genomic alterations. In breast cancer, the most common malignancy affecting women, we are now increasingly able to use this technology to help specify the use of therapies that target key molecular and genetic dependencies. Large sequencing studies have confirmed the role of well-known cancer-related genes and have also revealed numerous other genes that are recurrently mutated in breast cancer. This growing understanding of patient-to-patient variability at the genomic level in breast cancer is advancing our ability to direct the appropriate treatment to the appropriate patient at the appropriate time--a hallmark of "precision cancer medicine." This review focuses on the technological advances that have catalyzed these developments, the landscape of mutations in breast cancer, the clinical impact of genomic profiling, and the incorporation of genomic information into clinical care and clinical trials.

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References
1.
Harvey J, Clark G, Osborne C, Allred D . Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer. J Clin Oncol. 1999; 17(5):1474-81. DOI: 10.1200/JCO.1999.17.5.1474. View

2.
Pleasance E, Cheetham R, Stephens P, McBride D, Humphray S, Greenman C . A comprehensive catalogue of somatic mutations from a human cancer genome. Nature. 2009; 463(7278):191-6. PMC: 3145108. DOI: 10.1038/nature08658. View

3.
Garraway L, Lander E . Lessons from the cancer genome. Cell. 2013; 153(1):17-37. DOI: 10.1016/j.cell.2013.03.002. View

4.
van de Vijver M, Peterse J, Mooi W, Wisman P, Lomans J, Dalesio O . Neu-protein overexpression in breast cancer. Association with comedo-type ductal carcinoma in situ and limited prognostic value in stage II breast cancer. N Engl J Med. 1988; 319(19):1239-45. DOI: 10.1056/NEJM198811103191902. View

5.
Natrajan R, Mackay A, Lambros M, Weigelt B, Wilkerson P, Manie E . A whole-genome massively parallel sequencing analysis of BRCA1 mutant oestrogen receptor-negative and -positive breast cancers. J Pathol. 2012; 227(1):29-41. PMC: 4976800. DOI: 10.1002/path.4003. View