Title |
Evaluation of ultra-deep targeted sequencing for personalized breast cancer care
|
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Published in |
Breast Cancer Research, December 2013
|
DOI | 10.1186/bcr3584 |
Pubmed ID | |
Authors |
Olivier Harismendy, Richard B Schwab, Hakan Alakus, Shawn E Yost, Hiroko Matsui, Farnaz Hasteh, Anne M Wallace, Hannah L Park, Lisa Madlensky, Barbara Parker, Philip M Carpenter, Kristen Jepsen, Hoda Anton-Culver, Kelly A Frazer |
Abstract |
The increasing number of targeted therapies, together with a deeper understanding of cancer genetics and drug response, have prompted major healthcare centers to implement personalized treatment approaches relying on high-throughput tumor DNA sequencing. However, the optimal way to implement this transformative methodology is not yet clear. Current assays may miss important clinical information such as the mutation allelic fraction, the presence of sub-clones or chromosomal rearrangements, or the distinction between inherited variants and somatic mutations. Here, we present the evaluation of ultra-deep targeted sequencing (UDT-Seq) to generate and interpret the molecular profile of 38 breast cancer patients from two academic medical centers. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 67% |
Canada | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 2% |
Unknown | 54 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 21 | 38% |
Student > Ph. D. Student | 9 | 16% |
Student > Master | 4 | 7% |
Other | 3 | 5% |
Student > Doctoral Student | 2 | 4% |
Other | 5 | 9% |
Unknown | 11 | 20% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 19 | 35% |
Biochemistry, Genetics and Molecular Biology | 10 | 18% |
Medicine and Dentistry | 8 | 15% |
Computer Science | 4 | 7% |
Nursing and Health Professions | 1 | 2% |
Other | 3 | 5% |
Unknown | 10 | 18% |