Mining featured micro ribonucleic acids associated with lung cancer based on bioinformatics.

ABSTRACT:

Background

Few genetic markers useful for the screening of lung cancer risk exist. Although related research has shown that certain expression profiles of micro ribonucleic acids (miRNAs) are different in lung cancer versus the normal lung, such as miR-29a and miR-29s, the precise molecular mechanism of lung cancer remains obscure. In order to get a better understanding of the pathogenetic mechanism of lung cancer, we analyzed the differentially expressed genes (DEGs) and identified featured miRNAs in lung cancer tissues.

Methods

We used the gene expression profile GSE10072, including 49 gene chips of non-tumor tissues and 58 gene chips of lung tumor specimens. The DEGs between these two groups were identified by Limma package in R language. The TarBase database was used to

SUBMITTER: Su L 

PROVIDER: S-EPMC4511330 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature