Abstract

Massively parallel DNA and RNA sequencing approaches have generated data on thousands of breast cancer genomes. In this review, we consider progress largely from the perspective of new concepts and hypotheses raised so far. These include challenges to the multistep model of breast carcinogenesis and the discovery of new defects in DNA repair through sequence analysis. Issues for functional genomics include the development of strategies to differentiate between mutations that are likely to drive carcinogenesis and bystander background mutations, as well as the importance of mechanistic studies that examine the role of mutations in genes with roles in splicing, histone methylation, and long non-coding RNA function. The application of genome-annotated patient-derived breast cancer xenografts as a potentially more reliable preclinical model is also discussed. Finally, we address the challenge of extracting medical value from genomic data. A weakness of many datasets is inadequate clinical annotation, which hampers the establishment of links between the mutation spectra and the efficacy of drugs or disease phenotypes. Tools such as dGene and the DGIdb are being developed to identify possible druggable mutations, but these programs are a work in progress since extensive molecular pharmacology is required to develop successful ‘genome-forward’ clinical trials. Examples are emerging, however, including targeting HER2 in HER2 mutant breast cancer and mutant ESR1 in ESR1 endocrine refractory luminal-type breast cancer. Finally, the integration of DNA- and RNA-based sequencing studies with mass spectrometry-based peptide sequencing and an unbiased determination of post-translational modifications promises a more complete view of the biochemistry of breast cancer cells and points toward a new discovery horizon in our understanding of the pathophysiology of this complex disease.Electronic supplementary materialThe online version of this article (doi:10.1186/s13058-014-0460-4) contains supplementary material, which is available to authorized users.

Highlights

  • A decade after the first version of the human genome was published [1], annotation efforts continue, bringing us to the 19th revision, which is the current research standard

  • There is a dramatic difference in the Significantly mutated gene (SMG) list between luminal-type breast cancer and basal-like breast cancer

  • In The Cancer Genome Atlas (TCGA) breast cancer data, at least 20 SMGs were observed in luminaltype A, eight in luminal-type B, but only three in basallike breast cancer (Table 1)

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Summary

Introduction

A decade after the first version of the human genome was published [1], annotation efforts continue, bringing us to the 19th revision, which is the current research standard. Basal-like breast cancer genomes are often so complex that it has proven difficult to identify the causal events by using mutation recurrence statistics.

Results
Conclusion
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