Establishing a prognostic model of ferroptosis- and immune-related signatures in kidney cancer: A study based on TCGA and ICGC databases

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成果类型：

期刊论文

作者：

Han, Zhijun;Wang, Hao;Long, Jing;Qiu, Yanning;Xing, Xiao-Liang

通讯作者：

Xing, X.-L.

作者机构：

[Long, Jing; Han, Zhijun] Cent South Univ, Zhuzhou Hosp, Dept Urol, Dept Ultrasonog,Xiangya Sch Med, Zhuzhou, Peoples R China.

[Xing, Xiao-Liang; Wang, Hao] Hunan Univ Med, Hunan Prov Key Lab Synthet Biol Tradit Chinese Med, Huaihua, Peoples R China.

[Xing, Xiao-Liang; Wang, Hao] South China Univ, Hengyang Med Sch, Dept Urol, Affiliated Hosp 1, Hengyang, Peoples R China.

[Qiu, Yanning] Xinjiang Med Univ, Coll Clin Med 1, Urumqi, Peoples R China.

通讯机构：

[Xing, X.-L.] H

Hunan Provincial Key Laboratory for Synthetic Biology of Traditional Chinese Medicine, China

语种：

英文

关键词：

ferroptosis;immune;kidney cancer;overall survival;prognosis

期刊：

FRONTIERS IN ONCOLOGY

ISSN：

2234-943X

年：

2022

卷：

页码：

931383

DOI：

10.3389/fonc.2022.931383

基金类别：

This project is financially supported by the Doctor Foundation of Hunan University of medicine (2020122004), Hunan Provincial Education Department (20B417).

机构署名：

本校为其他机构

摘要：

Background: Kidney cancer (KC) is one of the most challenging cancers due to its delayed diagnosis and high metastasis rate. The 5-year survival rate of KC patients is less than 11.2%. Therefore, identifying suitable biomarkers to accurately predict KC outcomes is important and urgent. Methods: Corresponding data for KC patients were obtained from the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA) databases. Systems biology/bioinformatics/computational approaches were used to identify suitable biomarkers for pr...

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Establishing a prognostic model of ferroptosis- and immune-related signatures in kidney cancer: A study based on TCGA and ICGC databases

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