title: The expression pattern of 19 genes predicts the histology of endometrial carcinoma.
abstract: Cancer diagnosis and classification have traditionally been based on the assessment of morphology by microscopy. However, the histological classification system is challenging and demand for genetic information is increasing in the era of targeted and personalized molecular therapy. Recently accumulated comprehensive genomic data could be used to provide a molecular cancer classification alongside the histological classification. This study identified a 19 gene signature able to classify endometrial cancers into the two major histological subtypes, endometrioid and serous. In addition, when the genomic classifier was applied to endometrioid adenocarcinoma of high grade (EM-HG), a subset (23.6%, 25/106) was predicted to be similar to serous tumors at the molecular level. In analyses of multiple cancers, the classification model may also be applicable to ovarian cancers.
authors.affiliation: Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
authors.forename: Chang Ohk
authors.initials: CO
authors.lastname: Sung
authors.affiliation: Biostatistics and Clinical Epidemiology Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea.
authors.forename: Insuk
authors.initials: I
authors.lastname: Sohn
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics* / Q000378:metabolism; D016889:Endometrial Neoplasms / Q000235:genetics* / Q000473:pathology*; D005260:Female; D052138:Genes, Neoplasm / Q000235:genetics*; D006801:Humans; D025202:Molecular Diagnostic Techniques / Q000379:methods*; D009363:Neoplasm Proteins / Q000235:genetics*; D011379:Prognosis; D015203:Reproducibility of Results; D018570:Risk Assessment; D012680:Sensitivity and Specificity
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins