Gene expression profiling predicts a three-gene expression signature of endometrial adenocarcinoma in a rat model |
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Authors: | Sandra Karlsson Björn Olsson Karin Klinga-Levan |
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Institution: | 1. Systems Biology Research Centre Biomedicine, School of Life Sciences, University of Sk?vde, Box 408, SE-541 28, Sk?vde, Sweden 2. Bioinformatics, School of Life Sciences, University of Sk?vde, Box 408, SE-541 28, Sk?vde, Sweden
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Abstract: | Background In the Western world, endometrial cancers are the most common gynaecological neoplastic disorders among women. Initial symptoms
are often vague and may be confused with several other conditions or disorders. Thus, there is a need for an easy and reliable
diagnostic tool. The objective of this work was to identify a gene expression signature specific for endometrial adenocarcinomas
to be used for testing potential endometrial biomarkers. |
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Keywords: | |
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