Title |
Analytical validation of the Oncotype DX prostate cancer assay – a clinical RT-PCR assay optimized for prostate needle biopsies
|
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Published in |
BMC Genomics, October 2013
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DOI | 10.1186/1471-2164-14-690 |
Pubmed ID | |
Authors |
Dejan Knezevic, Audrey D Goddard, Nisha Natraj, Diana B Cherbavaz, Kim M Clark-Langone, Jay Snable, Drew Watson, Sara M Falzarano, Cristina Magi-Galluzzi, Eric A Klein, Christopher Quale |
Abstract |
The Oncotype DX Prostate Cancer Assay is a multi-gene RT-PCR expression assay that was developed for use with fixed paraffin-embedded (FPE) diagnostic prostate needle biopsies containing as little as 1 mm of prostate tumor in the greatest dimension. The assay measures expression of 12 cancer-related genes representing four biological pathways and 5 reference genes which are algorithmically combined to calculate the Genomic Prostate Score (GPS). This biopsy-based assay has been analytically and subsequently clinically validated as a predictor of aggressive prostate cancer. The aim of this study was to validate the analytical performance of the Oncotype DX Prostate Cancer Assay using predefined acceptance criteria. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 50% |
France | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Canada | 3 | 1% |
Korea, Republic of | 1 | <1% |
United Kingdom | 1 | <1% |
India | 1 | <1% |
Belgium | 1 | <1% |
Spain | 1 | <1% |
Unknown | 215 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 44 | 20% |
Student > Ph. D. Student | 27 | 12% |
Student > Master | 24 | 11% |
Other | 20 | 9% |
Student > Bachelor | 19 | 9% |
Other | 51 | 23% |
Unknown | 38 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 60 | 27% |
Biochemistry, Genetics and Molecular Biology | 35 | 16% |
Agricultural and Biological Sciences | 34 | 15% |
Unspecified | 8 | 4% |
Engineering | 7 | 3% |
Other | 24 | 11% |
Unknown | 55 | 25% |