A new immune-prognostic signature of 6 differentially expressed cytokine/cytokine receptor pathway-related genes in clear cell renal cell carcinoma

Author:

Zhan Yating1,Jin Yan2,Zhu Kai2,Bao Menglu2,Li Yeping2

Affiliation:

1. The First Affiliated Hospital of Ningbo University

2. First Affiliated Hospital of Wenzhou Medical University

Abstract

Abstract

Background: To explore the hub genes related with prognostic pathway based on tumor microenvironment (TME) in clear cell renal cell carcinoma (ccRCC), a prognostic risk signature was identified to evaluate ccRCC patients’ prognosis. Methods: The immune scores of ccRCC patients were calculated via “ESTIMATE” package. The hub genes of the key pathway were selected using univariate cox and Lasso regression analysis. Cluster analysis and risk signature construction were performed in accordance with the expression levels and lasso coefficient of the hub genes. Results:Cytokine/cytokine receptor intersection pathway was considered as a key prognostic pathway in ccRCC. 6 differentially expressed cytokine/cytokine receptor pathway-related genes (DECCRGs) (CCR10, CXCL5, IL20RB, INHBE, KDR and RELT) were subsequently selected. Results of the cluster analysis revealed that the overall survival (OS) of the patients in cluster1 was better. Then, a 6-DECCRG immune-prognostic risk signature was established and used to evaluate the OS of ccRCC patients. This risk signature exhibited a good prognostic prediction ability in TCGA training cohort, which was further confirmed in TCGA testing cohort, whole cohort, GSE22541 cohort and a local cohort. Notably, the cluster groups and risk scores had a close connection to immune infiltration levels, respectively. CCR10, one of 6 DECCRGs, was further validated in renal cancer cells. Interestingly, reduced CCR10resulted in the inhibition of proliferation and migration in renal cancer cells. Conclusion: Collectively, a novel 6-DECCRG immune-prognostic risk signature contributes to the accurate prediction of ccRCC prognosis.

Publisher

Springer Science and Business Media LLC

Reference33 articles.

1. Comprehensive molecular characterization of clear cell renal cell carcinoma;Cancer Genome Atlas Research N;Nature,2013

2. A clear picture of renal cell carcinoma;Hakimi AA;Nat Genet,2013

3. Resistance to Systemic Therapies in Clear Cell Renal Cell Carcinoma: Mechanisms and Management Strategies;Makhov P;Mol Cancer Ther,2018

4. Renal cell carcinoma;Hsieh JJ;Nat Rev Dis Primers,2017

5. Tumor Microenvironment;Arneth B;Med (Kaunas),2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3