Cuproptosis-related modification patterns depict the tumor microenvironment, precision immunotherapy, and prognosis of kidney renal clear cell carcinoma

被引:21
|
作者
Cai, Zhiyong [1 ]
He, You'e [2 ]
Yu, Zhengzheng [3 ]
Hu, Jiao [1 ]
Xiao, Zicheng [1 ]
Zu, Xiongbing [1 ]
Li, Zhenghao [4 ,5 ]
Li, Huihuang [1 ]
机构
[1] Cent South Univ, Xiangya Hosp, Dept Urol, Changsha, Peoples R China
[2] Cent South Univ, Xiangya Hosp, Natl Clin Res Ctr Geriatr Disorder, Changsha, Peoples R China
[3] Cent South Univ, Xiangya Hosp, Res Ctr Carcinogenesis & Targeted Therapy, Changsha, Peoples R China
[4] Cent South Univ, Hunan Prov Key Lab Hepatobiliary Dis Res, Changsha, Peoples R China
[5] Cent South Univ, Xiangya Hosp 2, Dept Gen Surg, Div Hepatobiliary Pancreat Surg, Changsha, Peoples R China
来源
FRONTIERS IN IMMUNOLOGY | 2022年 / 13卷
基金
中国国家自然科学基金;
关键词
cuproptosis; KIRC; tumor microenvironment; immunotherapy; prognosis; CANCER-IMMUNITY; BLOCKADE; SUBTYPE;
D O I
10.3389/fimmu.2022.933241
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
BackgroundDue to the different infiltration abundance of immune cells in tumor, the efficacy of immunotherapy varies widely among individuals. Recently, growing evidence suggested that cuproptosis has impact on cancer immunity profoundly. However, the comprehensive roles of cuproptosis-related genes in tumor microenvironment (TME) and in response to immunotherapy are still unclear. MethodsBased on 43 cuproptosis-related genes, we employed unsupervised clustering to identify cuproptosis-related patterns and single-sample gene set enrichment analysis algorithm to build a cuproptosis signature for individual patient's immune cell infiltration and efficacy of immune checkpoint blockade (ICB) evaluation. Then, the cuproptosis-related genes were narrowed down using univariate Cox regression model and least absolute shrinkage and selection operator algorithm. Finally, a cuproptosis risk score was built by random survival forest based on these narrowed-down genes. ResultsTwo distinct cuproptosis-related patterns were developed, with cuproptosis cluster 1 showing better prognosis and higher enrichment of immune-related pathways and infiltration of immune cells. For individual evaluation, the cuproptosis signature that we built could be used not only for predicting immune cell infiltration in TME but also for evaluating an individual's sensitivity to ICBs. Patients with higher cuproptosis signature scores exhibited more activated cancer immune processes, higher immune cell infiltration, and better curative efficacy of ICBs. Furthermore, a robust cuproptosis risk score indicated that patients with higher risk scores showed worse survival outcomes, which could be validated in internal and external validation cohorts. Ultimately, a nomogram which combined the risk score with the prognostic clinical factors was developed, and it showed excellent prediction accuracy for survival outcomes. ConclusionDistinct cuproptosis-related patterns have significant differences on prognosis and immune cell infiltration in kidney renal clear cell carcinoma (KIRC). Cuproptosis signature and risk score are able to provide guidance for precision therapy and accurate prognosis prediction for patients with KIRC.
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页数:17
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