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[Multiple lncRNAs affect the incidence and development of melanoma].
Zhong Nan da Xue Xue Bao. Yi Xue Ban = Journal of Central South University. Medical Sciences 2017 Februrary 29
OBJECTIVE: To find the relationship between long non-coding RNA (lncRNA) based on data mining methods.
Methods: We use a whole genome mRNA expression data set (GSE15605) from the gene expression ominibus database to find the lncRNAs which relate to melanoma.
Results: Four lncRNAs (LINC01213, PGM5-AS1, LINC01133 and LOC284578) were significantly associated with the incidence and development of melanoma. Meanwhile, LINC01213, LINC01133 and LOC284578 were correlated with BRAF mutation, and PGM5-AS1 was related to NRAS mutation. Data mining study found that the model based on the expression values of these 4 lncRNAs can easily preferable classify the study samples.
Conclusion: LncRNAs may play important roles in the incidence and development of melanoma.
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