An immune subtype-related prognostic signature of hepatocellular carcinoma based on siligie-cell sequencing analysis

被引:0
|
作者
Xie, Jiaheng [1 ]
Chen, Liang [2 ]
Sun, Qingmei [3 ]
Li, Haobo [4 ]
Wei, Wei [2 ]
Wu, Dan [5 ]
Hu, Yiming [6 ]
Zhu, Zhechen [1 ]
Shi, Jingping [1 ]
Wang, Ming [1 ]
机构
[1] Nanjing Med Univ, Affiliated Hosp 1, Dept Burn & Plast Surg, Nanjing, Jiangsu, Peoples R China
[2] Anhui Med Univ, Fuyang Hosp, Dept Gen Surg, Fuyang, Anhui, Peoples R China
[3] Nanjing Med Univ, Affiliated Hosp 1, Pancreas Ctr, Nanjing, Jiangsu, Peoples R China
[4] Chinese Acad Med Sci, Peking Union Med Coll, Grad Sch, Beijing, Peoples R China
[5] Nanjing Univ, Med Sch, Affiliated Hosp, Nanjing Drum Tower Hosp,Dept Rheumatol & Immunol, Nanjing, Jiangsu, Peoples R China
[6] Jiangsu Ocean Univ, Coll Pharm, Lianyungang, Jiangsu, Peoples R China
来源
AGING-US | 2022年 / 14卷 / 07期
关键词
hepatocellular carcinoma; single-cell sequencing analysis; differential expression analysis; immune microenvironment; prognostic model; LIVER; HCC;
D O I
暂无
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Hepatocellular carcinoma (HCC) is one of the most common cancers in the world and is often associated with a poor prognosis. The main reason for this poor prognosis is that inconspicuous early symptoms lead to delayed diagnosis. Treatment options for advanced HCC remain limited and ineffective. In this context, the exploration of the immune microenvironment in HCC becomes attractive. In this study, we divided HCC into immune cell and non-immune cell subtypes, by single-cell sequencing analysis of GEO dataset GSE146115. We found differentially expressed genes in the two subtypes, which we used to construct a prognostic model for HCC through Cox and Lasso regressions. Our prognostic model can accurately evaluate the prognosis of HCC patients, and provide a reference for the design of immunotherapy for HCC.
引用
收藏
页码:3276 / 3292
页数:17
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