Construction of immune-related risk signature for uveal melanoma

Artificial Cells, Nanomedicine, and Biotechnology

Genghang Chen¹  Shaochong Zhang²  Manjuan Peng²  Yao Ni²  Yantao Wei²  Zhaotian Zhang² 

[1] School of Public Health, Sun Yat-sen University, Guangzhou, China;State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China;

关键词: Uveal melanoma;    immune system;    prognosis;    LASSO;   

DOI  :  10.1080/21691401.2020.1773480

来源: DOAJ

【 摘 要 】

Uveal melanoma (UM) is the most frequent primary ocular tumour among adults. Here, we aimed to establish the immune cell-based signature to predict the overall survival (OS) of UM patients. The mRNA profile and matched clinical records of 80 UM patients were downloaded from The Cancer Genome Atlas (TCGA) database. CIBERSORT was used to verify the immune cell types of individuals. The univariate analysis found the CD8+ T cell, monocyte, CD4+ memory T cell (resting) and mast cell (resting) were significantly associated with the OS of UM patients. Subsequently, the LASSO Cox regression test was applied to establish the signature, by which the patients were separated into high- and low-risk subgroups. The Kaplan–Meier analyses found for these patients in the high-risk group had a poor survival rate than those in the low-risk group. The predictive value and stability were confirmed by the receiver operative characteristics curves. Pathway analyses found that the differentially expressed genes between the high- and low-risk subgroups were mainly centralised on immune response-related pathways. Further, the comparison of our signature with clinicopathological records confirmed its superiority and independence. In summary, we established an immune cell-based prognosis-predicting signature for UM patients, which will benefit the individual’s treatment.

【 授权许可】

Unknown