Landscape of cancer diagnostic biomarkers from specifically expressed genes

• DOI: 10.1093/bib/bbz131
• Publication Date: 2019-10-08T08:11:14Z
• Authors: Yao Lv; Sheng-Yan Lin; Fei-Fei Hu; Zheng Ye; Qiong Zhang; Yan Wang; An-Yuan Guo
• Keywords: Diagnostic biomarker; Cancer Biomarkers; Biomarker Discovery

Abstract Although there has been great progress in cancer treatment, remains a serious health threat to humans because of the lack biomarkers for diagnosis, especially early-stage diagnosis. In this study, we comprehensively surveyed specifically expressed genes (SEGs) using SEGtool based on big data gene expression from The Cancer Genome Atlas (TCGA) and Genotype–Tissue Expression (GTEx) projects. 15 solid tumors, identified 233 cancer-specific SEGs (cSEGs), which were only one showed potential be diagnostic biomarkers. Among them, three cSEGs (OGDH, MUDENG ACO2) had sample frequency >80% kidney cancer, suggesting their high sensitivity. Furthermore, 254 as across 17 cancers. A two-gene combination strategy was applied improve sensitivity biomarkers, hundreds combinations with frequency. We also observed that 13 targets various drugs nearly half these may repurposed treat cancers targets. Several regulated by specific transcription factors corresponding 39 prognosis-related 7 This work provides survey diagnosis early new insights drug repurposing. These have research application.