Title |
Tumor antigens as proteogenomic biomarkers in invasive ductal carcinomas
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Published in |
BMC Medical Genomics, December 2014
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DOI | 10.1186/1755-8794-7-s3-s2 |
Pubmed ID | |
Authors |
Lars Rønn Olsen, Benito Campos, Ole Winther, Dennis C Sgroi, Barry L Karger, Vladimir Brusic |
Abstract |
The majority of genetic biomarkers for human cancers are defined by statistical screening of high-throughput genomics data. While a large number of genetic biomarkers have been proposed for diagnostic and prognostic applications, only a small number have been applied in the clinic. Similarly, the use of proteomics methods for the discovery of cancer biomarkers is increasing. The emerging field of proteogenomics seeks to enrich the value of genomics and proteomics approaches by studying the intersection of genomics and proteomics data. This task is challenging due to the complex nature of transcriptional and translation regulatory mechanisms and the disparities between genomic and proteomic data from the same samples. In this study, we have examined tumor antigens as potential biomarkers for breast cancer using genomics and proteomics data from previously reported laser capture microdissected ER+ tumor samples. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 50% |
Unknown | 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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United States | 2 | 9% |
Unknown | 21 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 5 | 22% |
Student > Bachelor | 4 | 17% |
Professor | 3 | 13% |
Student > Ph. D. Student | 3 | 13% |
Professor > Associate Professor | 2 | 9% |
Other | 3 | 13% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 6 | 26% |
Biochemistry, Genetics and Molecular Biology | 5 | 22% |
Medicine and Dentistry | 3 | 13% |
Chemistry | 2 | 9% |
Immunology and Microbiology | 1 | 4% |
Other | 2 | 9% |
Unknown | 4 | 17% |