Open AccessIntegrative analysis of competing endogenous RNA network focusing on long noncoding RNA associated with progression of cutaneous melanoma
Author(s) -
Xu Siyi,
Sui Jing,
Yang Sheng,
Liu Yufeng,
Wang Yan,
Liang Geyu
Publication year - 2018
Publication title -
cancer medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 53
ISSN - 2045-7634
DOI - 10.1002/cam4.1315
Subject(s) - competing endogenous rna , microrna , long non coding rna , rna , carcinogenesis , biology , endogeny , gene , melanoma , cancer research , metastasis , computational biology , cancer , bioinformatics , genetics , endocrinology
Cutaneous melanoma ( CM ) is the most malignant tumor of skin cancers because of its rapid development and high mortality rate. Long noncoding RNA s (lnc RNA s), which play essential roles in the tumorigenesis and metastasis of CM and interplay with micro RNA s (mi RNA s) and mRNA s, are hopefully considered to be efficient biomarkers to detect deterioration during the progression of CM to improve the prognosis. Bioinformatics analysis was fully applied to predict the vital lnc RNA s and the associated mi RNA s and mRNA s, which eventually constructed the competing endogenous RNA (ce RNA ) network to explain the RNA expression patterns in the progression of CM . Further statistical analysis emphasized the importance of these key genes, which were statistically significantly related to one or few clinical features from the ce RNA network. The results showed the lnc RNA s MGC 12926 and LINC 00937 were verified to be strongly connected with the prognosis of CM patients.