Prognostic analysis of lung adenocarcinoma based on cancer-associated fibroblasts genes using scRNA-sequencing

被引：0
作者：
Zhang, Han [1 ]
Wang, Yuhang [1 ]
Wang, Kai [2 ]
Ding, Yun [1 ]
Li, Xin [2 ]
Zhao, Shuai [2 ]
Jia, Xiaoteng [1 ]
Sun, Daqiang [2 ]
机构：
[1] Tianjin Med Univ, Clin Sch Thorac, Tianjin, Peoples R China
[2] Tianjin Univ, Dept Thorac Surg, Tianjin Chest Hosp, Tianjin, Peoples R China
来源：
AGING-US | 2023年 / 15卷 / 14期
关键词：
scRNA-seq; CAFs markers; prognosis models; immunotherapy; drug sensitivity; IMMUNE CELLS; PROLIFERATION; INHIBITORS; MIGRATION; BIOMARKER; SERPINH1;
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：
Cancer-associated fibroblasts (CAFs) are an important component of the tumor microenvironment (TME). CAFs can promote tumor occurrence and metastasis by promoting cancer cell proliferation, angiogenesis, extracellular matrix (ECM) remodeling, and drug resistance. Nevertheless, how CAFs are related to Lung adenocarcinoma (LUAD) has not yet been revealed, especially since the CAFs-related prediction model has yet to be established. We combined Single-cell RNA-sequencing (scRNA-seq) and Bulk-RNA data to develop a predictive model of 8 CAFsassociated genes. Our model predicted LUAD prognosis and immunotherapy efficacy. TME, mutation landscape and drug sensitivity differences were also systematically analyzed between the LUAD patients of high- and low-risk. Moreover, the model prognostic performance was validated in four independent validation cohorts in the Gene expression omnibus (GEO) and the IMvigor210 immunotherapy cohort.
引用
收藏
页码：6774 / 6797
页数：24
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