Document Detail


Next-generation sequencing in breast cancer: first take home messages.
MedLine Citation:
PMID:  23014189     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE OF REVIEW: We are currently on the threshold of a revolution in breast cancer research, thanks to the emergence of novel technologies based on next-generation sequencing (NGS). In this review, we will describe the different sequencing technologies and platforms, and summarize the main findings from the latest sequencing articles in breast cancer.
RECENT FINDINGS: Firstly, the sequencing of a few hundreds of breast tumors has revealed new cancer genes. Although these were not frequently mutated, mutated genes from different patients could be grouped into the deregulation of similar pathways. Secondly, NGS allowed further exploration of intratumor heterogeneity and revealed that although subclonal mutations were present in all tumors, there was always a dominant clone, which comprised at least 50% of the tumor cells. Finally, tumor-specific DNA rearrangements could be detected in the patient's plasma, suggesting that NGS could be used to personalize the monitoring of the disease.
SUMMARY: The application of NGS to breast cancer has been associated with tremendous advances and promises for increasing the understanding of the disease. However, there still remain many unanswered questions, such as the role of structural changes of tumor genomes in cancer progression and treatment response/resistance.
Authors:
Christine Desmedt; Thierry Voet; Christos Sotiriou; Peter J Campbell
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Current opinion in oncology     Volume:  24     ISSN:  1531-703X     ISO Abbreviation:  Curr Opin Oncol     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-10-19     Completed Date:  2013-03-28     Revised Date:  2014-02-24    
Medline Journal Info:
Nlm Unique ID:  9007265     Medline TA:  Curr Opin Oncol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  597-604     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Breast Neoplasms / genetics*,  metabolism,  pathology
Databases, Genetic
Female
Gene Expression Profiling
Genetic Association Studies
Genetic Heterogeneity
High-Throughput Nucleotide Sequencing*
Humans
Individualized Medicine
Sequence Analysis, DNA
Sequence Analysis, RNA
Grant Support
ID/Acronym/Agency:
088340//Wellcome Trust; 093867//Wellcome Trust
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