南方科技大学知识苑(SUSTech KC): Analysis of the Correlation Between Metastasis-Related Genes and Immune Infiltration of Uveal Melanoma Using the Weighted Gene Co-Expression Network Analysis and Single Sample GSEA Algorithms

题名	Analysis of the Correlation Between Metastasis-Related Genes and Immune Infiltration of Uveal Melanoma Using the Weighted Gene Co-Expression Network Analysis and Single Sample GSEA Algorithms
作者	Nie, Aiqin 1,2; Li, Qiang 1,2 ; Li, Wei 1,2 ; Ling, Yunzhi 3
通讯作者	Li, Wei; Ling, Yunzhi
发表日期	2020-03
DOI	10.1166/nnl.2020.3107
发表期刊	NANOSCI NANOTECH LET 影响因子和分区
ISSN	1941-4900
卷号	12 期号:3页码:271-284
摘要	Uveal melanoma is a rare variant of melanoma that primarily occurs in the uvea (including choroid, ciliary body and iris) of the eye. It readily metastasizes to distant organs, especially the liver. Currently, there is no effective treatment for metastatic UVM. Recent studies have revealed that there is an immunoinflammatory phenotype in the UVM microenvironment. Understanding the inflammatory process related to the growth of uveal melanoma and its metastasis may lead to new therapies. During the development of most solid tumors, immune cells and fibroblasts infiltrate into the tumor tissue, promote a tumor microenvironment, activate an immunosuppressive system that includes Treg cells by secreting cytokines, promote tumor angiogenesis, and provide convenient conditions for tumor development and metastasis. In this study, WGCNA analysis was used to identify the types of infiltrating cells in the UVM rnicroenvironrnent. These included T cells, B cells, tumor-related fibroblasts, HSC, and macrophages. Of these, HSC are important infiltrating cells in UVM. They may be regulated by the cycle genes ANLN and FOXM1 and participate in the development and metastasis.
关键词	Weighted Gene Co-Expression Network Analysis Metastatic Uveal Melanoma Differentially Expressed Genes Tumor Immune Infiltrating Cells TIMER Public Database
相关链接	[来源记录]
收录类别	SCI
语种	英语
学校署名	通讯
资助项目	Research Fund of Guangdong Medical Science and Technology[B2018139]
WOS研究方向	Science & Technology - Other Topics ; Materials Science ; Physics
WOS类目	Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Applied
WOS记录号	WOS:000577331000001
出版者	AMER SCIENTIFIC PUBLISHERS
来源库	Web of Science
引用统计	被引频次[WOS]：0
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/210481
专题	南方科技大学第一附属医院
作者单位	1.Jinan Univ, Shenzhen Peoples Hosp, Dept Ophthalmol, Clin Med Coll 2, Shenzhen 518020, Guangdong, Peoples R China 2.Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen 518020, Guangdong, Peoples R China 3.Sun Yat Sen Univ, Sch Pharmaceut Sci, Guangzhou 510006, Guangdong, Peoples R China
第一作者单位	南方科技大学第一附属医院
通讯作者单位	南方科技大学第一附属医院
推荐引用方式 GB/T 7714	Nie, Aiqin,Li, Qiang,Li, Wei,et al. Analysis of the Correlation Between Metastasis-Related Genes and Immune Infiltration of Uveal Melanoma Using the Weighted Gene Co-Expression Network Analysis and Single Sample GSEA Algorithms[J]. NANOSCI NANOTECH LET,2020,12(3):271-284.
APA	Nie, Aiqin,Li, Qiang,Li, Wei,&Ling, Yunzhi.(2020).Analysis of the Correlation Between Metastasis-Related Genes and Immune Infiltration of Uveal Melanoma Using the Weighted Gene Co-Expression Network Analysis and Single Sample GSEA Algorithms.NANOSCI NANOTECH LET,12(3),271-284.
MLA	Nie, Aiqin,et al."Analysis of the Correlation Between Metastasis-Related Genes and Immune Infiltration of Uveal Melanoma Using the Weighted Gene Co-Expression Network Analysis and Single Sample GSEA Algorithms".NANOSCI NANOTECH LET 12.3(2020):271-284.