title: Computational Analysis of Specific MicroRNA Biomarkers for Noninvasive Early Cancer Detection.
abstract: 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.
authors.affiliation: College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China.
authors.forename: Tianci
authors.initials: T
authors.lastname: Song
authors.affiliation: 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.
authors.forename: Yanchun
authors.initials: Y
authors.lastname: Liang
authors.affiliation: College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China.
authors.forename: Zhongbo
authors.initials: Z
authors.lastname: Cao
authors.affiliation: College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China.
authors.forename: Wei
authors.identifier: 0000-0001-5727-4166
authors.initials: W
authors.lastname: Du
authors.affiliation: College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun 130012, China.
authors.forename: Ying
authors.identifier: 0000-0002-7804-149X
authors.initials: Y
authors.lastname: Li
mesh_terms: D014408:Biomarkers, Tumor / Q000096:biosynthesis* / Q000235:genetics; D019295:Computational Biology / Q000379:methods; D055088:Early Detection of Cancer; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D035683:MicroRNAs / Q000096:biosynthesis* / Q000235:genetics; D009369:Neoplasms / Q000175:diagnosis* / Q000235:genetics / Q000473:pathology; D059467:Transcriptome / Q000235:genetics
chemical_list: D014408:Biomarkers, Tumor; D035683:MicroRNAs