Adato Orit, Orenstein Yaron, Kopolovic Juri, Juven-Gershon Tamar, Unger Ron
The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan 5290002, Israel.
School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel.
Cancers (Basel). 2020 Jun 14;12(6):1572. doi: 10.3390/cancers12061572.
Transcription factors encoded by () genes play numerous key functions during early embryonic development and differentiation. Multiple reports have shown that mis-regulation of gene expression plays key roles in the development of cancers. Their expression levels in cancers tend to differ based on tissue and tumor type. Here, we performed a comprehensive analysis comparing gene expression in different cancer types, obtained from The Cancer Genome Atlas (TCGA), with matched healthy tissues, obtained from Genotype-Tissue Expression (GTEx). We identified and quantified differential expression patterns that confirmed previously identified expression changes and highlighted new differential expression signatures. We discovered differential expression patterns that are in line with patient survival data. This comprehensive and quantitative analysis provides a global picture of genes' differential expression patterns in different cancer types.
由()基因编码的转录因子在早期胚胎发育和分化过程中发挥着众多关键功能。多项报告表明,基因表达的失调在癌症发展中起着关键作用。它们在癌症中的表达水平往往因组织和肿瘤类型而异。在这里,我们进行了一项全面分析,将从癌症基因组图谱(TCGA)获得的不同癌症类型中的基因表达与从基因型-组织表达(GTEx)获得的匹配健康组织进行比较。我们识别并量化了差异表达模式,这些模式证实了先前确定的表达变化,并突出了新的差异表达特征。我们发现了与患者生存数据一致的差异表达模式。这项全面的定量分析提供了不同癌症类型中基因差异表达模式的全景图。