Song Tianci, Liang Yanchun, Cao Zhongbo, Du Wei, Li Ying
College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China.
College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China; Zhuhai Laboratory of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Zhuhai College of Jilin University, Zhuhai 519041, China.
Biomed Res Int. 2017;2017:4680650. doi: 10.1155/2017/4680650. Epub 2017 Mar 5.
Cancer is a complex disease residing in various tissues of human body, accompanied with many abnormalities and mutations in genomes, transcriptome, and epigenome. Early detection plays a crucial role in extending survival time of all major cancer types. Recent advances in microarray and sequencing techniques have given more support to identifying effective biomarkers for early detection of cancer. MicroRNAs (miRNAs) are more and more frequently used as candidates for biomarkers in cancer related studies due to their regulation of target gene expression. In this paper, the comparative analysis is used to discover miRNA expression patterns in cancer versus normal samples on early stage of eight prevalent cancer types. Our work focuses on the specific miRNAs biomarkers identification and function analysis. Several identified miRNA biomarkers in this paper are matched well with those reported in existing researches, and most of them could serve as potential candidate indicators for clinical early diagnosis applications.
癌症是一种存在于人体各种组织中的复杂疾病，伴随着基因组、转录组和表观基因组中的许多异常和突变。早期检测在延长所有主要癌症类型的生存时间方面起着至关重要的作用。微阵列和测序技术的最新进展为识别癌症早期检测的有效生物标志物提供了更多支持。微小RNA（miRNA）由于其对靶基因表达的调控作用，在癌症相关研究中越来越频繁地被用作生物标志物的候选物。本文采用比较分析方法，发现8种常见癌症类型早期阶段癌组织与正常组织中miRNA的表达模式。我们的工作重点是特定miRNA生物标志物的鉴定和功能分析。本文鉴定出的几种miRNA生物标志物与现有研究报道的结果吻合良好，其中大多数可作为临床早期诊断应用的潜在候选指标。
