AUTHOR=Shen Xin , Shang Lifeng , Han Junwei , Zhang Yi , Niu Wenkai , Liu Haiwang , Shi Hai 

TITLE=Immune-related gene signature associates with immune landscape and predicts prognosis accurately in patients with skin cutaneous melanoma

JOURNAL=Frontiers in Genetics

VOLUME=Volume 13 - 2022

YEAR=2023

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2022.1095867

DOI=10.3389/fgene.2022.1095867

ISSN=1664-8021

ABSTRACT=Skin cutaneous melanoma (SKCM) is the skin cancer that causes the highest number of deaths worldwide. There is growing evidence that the tumour immune microenvironment is associated with cancer prognosis, however, there is little research on the role of immune status in melanoma prognosis. In this study, data on patients with SKCM were downloaded from the GEO, TCGA, and GTEx databases. Genes associated with the immune pathway were screened from published papers and lncRNAs associated with them were identified. we performed immune microenvironment and functional enrichment analyses. The analysis was followed by applying univariate/multivariate Cox regression algorithms to finally identify three lncRNAs associated with the immune pathway for the construction of prognostic prediction models (CXCL10, RXRG, SCG2). The model's reliability analyses show that it was able better differentiate the prognostic value and continued existence of SKCM patient populations. At last, this study is an analysis of the immune path that leads lncRNAs in SKCM which aims to open up new pathways for SKCM treatment.