NDLI: Next-generation sequencing: a powerful tool for the discovery of molecular markers in breast ductal carcinomain situ

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Next-generation sequencing: a powerful tool for the discovery of molecular markers in breast ductal carcinomain situ

Content Provider	Scilit
Author	Kaur, Hitchintan Mao, Shihong Shah, Seema Gorski, David H. Krawetz, Stephen A. Sloane, Bonnie F. Mattingly, Raymond R.
Copyright Year	2013
Description	Journal: Expert Review of Molecular Diagnostics Mammographic screening leads to frequent biopsies and concomitant overdiagnosis of breast cancer, particularly ductal carcinoma in situ (DCIS). Some DCIS lesions rapidly progress to invasive carcinoma, whereas others remain indolent. Because we cannot yet predict which lesions will not progress, all DCIS is regarded as malignant, and many women are overtreated. Thus, there is a pressing need for a panel of molecular markers in addition to the current clinical and pathological factors to provide prognostic information. Genomic technologies such as microarrays have made major contributions to defining subtypes of breast cancer. Next-generation sequencing (NGS) modalities offer unprecedented depth of expression analysis through revealing transcriptional boundaries, mutations, rare transcripts and alternative splice variants. NGS approaches are just beginning to be applied to DCIS. Here, the authors review the applications and challenges of NGS in discovering novel potential therapeutic targets and candidate biomarkers in the premalignant progression of breast cancer.
Related Links	http://europepmc.org/articles/pmc3804339?pdf=render https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3804339/pdf
Ending Page	165
Page Count	15
Starting Page	151
ISSN	14737159
e-ISSN	17448352
DOI	10.1586/erm.13.4
Journal	Expert Review of Molecular Diagnostics
Issue Number	2
Volume Number	13
Language	English
Publisher	Informa UK Limited
Publisher Date	2013-03-01
Access Restriction	Open
Subject Keyword	Journal: Expert Review of Molecular Diagnostics Breast Cancer Carcinoma in Situ Deep Sequencing Network Analysis Molecular Markers
Content Type	Text
Subject	Genetics Molecular Biology Molecular Medicine Pathology and Forensic Medicine

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