期刊
AGING-US
卷 12, 期 2, 页码 1446-1464出版社
IMPACT JOURNALS LLC
DOI: 10.18632/aging.102693
关键词
immune subtype; uveal melanoma; bioinformatics; immune cell fractions; TCGA
资金
- National Key R&D Program of China [2018YFC1106100, 2018YFC11 06101]
- Science and Technology Commission of Shanghai [17DZ2260100, 19JC1410200]
- National Natural Science Foundation of China [U1932135, 81770934, 81702781]
- Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support [20181810]
Uveal melanoma is an aggressive intraocular malignancy that often exhibits low immunogenicity. Metastatic uveal melanoma samples frequently exhibit monosomy 3 or BAP1 deficiency. In this study, we used bioinformatic methods to investigate the immune infiltration of uveal melanoma samples in public datasets. We first performed Gene Set Enrichment/Variation Analyses to detect immunological pathways that are altered in tumors with monosomy 3 or BAP1 deficiency. We then conducted an unsupervised clustering analysis to identify distinct immunologic molecular subtypes of uveal melanoma. We used CIBERSORT and ESTIMATE with RNA-seq data from The Cancer Genome Atlas and the GSE22138 microarray dataset to determine the sample-level immune subpopulations and immune scores of uveal melanoma samples. The Kaplan-Meier method and log-rank test were used to assess the prognostic value of particular immune cells and genes in uveal melanoma samples. Through these approaches, we discovered uveal melanoma-specific immunologic features, which may provide new insights into the tumor microenvironment and enhance the development of immunotherapies in the future.
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