Identification of a Gene-Related Risk Signature in Melanoma Patients Using Bioinformatic Profiling
Source: MDLinx, May 2020
In the present study, the researchers sought to systematically analyze the gene expression pattern in the melanoma-immune microenvironment and its association with prognosis. From the Gene Expression Omnibus (GEO) database, a cohort of 122 cases of melanoma with whole-genome microarray expression data were registered. Using The Cancer Genome Atlas database, the findings were validated.