Identifying endoplasmic reticulum stress-related genes as new diagnostic and prognostic biomarkers in clear cell renal cell carcinoma

被引:1
|
作者
Yu, Haitao [1 ,2 ]
Zhang, Chunlin [1 ,2 ]
Bai, Xuesong [1 ]
Yin, Hubin [1 ,2 ]
Li, Xinyuan [1 ,2 ]
Zhou, Xiang [1 ,2 ]
He, Weiyang [1 ]
Kuang, Youlin [1 ]
Gou, Xin [1 ]
Li, Jie [1 ]
机构
[1] Chongqing Med Univ, Affiliated Hosp 1, Dept Urol, 1 Youyi Rd, Chongqing 400010, Peoples R China
[2] Chongqing Med Univ, Affiliated Hosp 1, Chongqing Key Lab Mol Oncol & Epigenet, Chongqing, Peoples R China
关键词
Clear cell renal cell carcinoma (ccRCC); endoplasmic reticulum stress (ERS); diagnosis; prognosis; EXPRESSION; TNFSF13B;
D O I
10.21037/tau-23-374
中图分类号
R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
摘要
Background: Clear cell renal cell carcinoma (ccRCC) is one of the most common cancers worldwide, and its incidence is increasing every year. Endoplasmic reticulum stress (ERS) caused by protein misfolding has broad and profound effects on the progression and metastasis of various cancers. Accumulating evidence suggests that ERS is closely related to the occurrence and progression of ccRCC. This study aimed to identify ERS-related genes for evaluating the prognosis of ccRCC. Methods: Transcriptomic expression profiles were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA), and clinical data were downloaded from the TCGA. First, the differentially expressed genes (DEGs) were analyzed using the limma package, and the DEGs related to ERS (ERS-DEGs) were identified from the GeneCards database. Second, a function and pathway enrichment analysis and a Gene Set Enrichment Analysis (GSEA) were performed. Third, a protein-protein interaction (PPI) network was constructed to identify the hub genes, and a gene-micro RNA (miRNA) network and gene-transcription factor (TF) network were established using the hub genes. Finally, a least absolute shrinkage and selection operator (LASSO) regression analysis was conducted to establish a diagnostic model, and a Cox analysis was used to analyze the correlations between the expression of the characteristic genes and the clinical characteristics. Results: We identified 11 signature genes and established a diagnostic model. Further, the Cox analysis results revealed a correlation between the expression levels of the signature genes and the clinical characteristics. Ultimately, five signature genes (i.e., TNFSF13B, APOL1, COL5A3, and CDH5) were found to be associated with a poor prognosis. Conclusions: This study suggests that TNFSF13B, APOL1, COL5A3, and CDH5 may have potential as prognostic biomarkers in ccRCC and may provide new evidence to support targeted therapy in ccRCC.
引用
收藏
页码:1 / 24
页数:25
相关论文
共 50 条
  • [41] piRNAs and circRNAs acting as diagnostic biomarkers in clear cell renal cell carcinoma
    Xu, Yin
    Liu, Huiling
    Zhang, Yingzhi
    Luo, Jing
    Li, Haomin
    Lai, Caiyong
    Shi, Liping
    Heng, Baoli
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [42] Biomarkers in clear cell renal cell carcinoma
    George, Saby
    Bukowski, Ronald M.
    EXPERT REVIEW OF ANTICANCER THERAPY, 2007, 7 (12) : 1737 - 1747
  • [43] Development and validation of a novel endoplasmic reticulum stress-related lncRNA signature in laryngeal squamous cell carcinoma
    Xiazhi Pan
    Qin Che
    Duanshali Liu
    Yingli Xie
    Beicheng Li
    Shanshan Zhang
    Tian Li
    Gege Li
    Xiaohan Li
    Qiuchen Zheng
    Kai Zhao
    Mingbo Liu
    Scientific Reports, 15 (1)
  • [44] Four methylation-driven genes may be prognostic biomarkers in clear cell renal carcinoma
    Yin, Hang
    Zhang, Haiyang
    Wang, Xiaoyuan
    Xu, Qingyong
    CLINICAL AND TRANSLATIONAL MEDICINE, 2020, 10 (02):
  • [45] Prognostic significance of immune evasion-related genes in clear cell renal cell carcinoma immunotherapy
    Huang, Tingxuan
    Peng, Yulu
    Liu, Ruiqi
    Ma, Binglei
    Chen, Junlin
    Wei, Wensu
    Zhong, Weifeng
    Liu, Yang
    Guo, Shengjie
    Han, Hui
    Zhou, Fangjian
    Zhang, Zhiling
    He, Liru
    Dong, Pei
    INTERNATIONAL IMMUNOPHARMACOLOGY, 2024, 142
  • [46] Development and validation of the prognostic value of the immune-related genes in clear cell renal cell carcinoma
    Liao, Zhuangyao
    Yao, Haohua
    Wei, Jinhuan
    Feng, Zihao
    Chen, Wei
    Luo, Junhang
    Chen, Xu
    TRANSLATIONAL ANDROLOGY AND UROLOGY, 2021, 10 (04)
  • [47] Prognostic Value of Metabolism-Related Genes and Immune Infiltration in Clear Cell Renal Cell Carcinoma
    Li, Hanwen
    Mo, Zengnan
    INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2021, 14 : 6885 - 6898
  • [48] Bioinformatics screening of prognostic immune-related genes in renal clear cell carcinoma
    Cui, Kai
    Song, He
    Zhang, Han
    Sun, Peiyu
    JOURNAL OF APPLIED GENETICS, 2024, : 311 - 322
  • [49] Identification of Endoplasmic Reticulum Stress-Related Biomarkers in Coronary Artery Disease
    Lin, Yuanyuan
    Ni, Lin
    Yang, Luqun
    Li, Hao
    Chen, Zelin
    Gao, Yuping
    Zhu, Kaiyi
    Jia, Yanni
    Wu, Zhifang
    Li, Sijin
    CARDIOVASCULAR THERAPEUTICS, 2024, 2024
  • [50] ALB inhibits tumor cell proliferation and invasion by regulating immune microenvironment and endoplasmic reticulum stress in clear cell renal cell carcinoma
    Zhu, Jun-Ming
    Chen, Shao-Hao
    Xu, Yi-Cheng
    Gao, Rui-Cheng
    Cai, Hai
    Zheng, Qing-Shui
    Sun, Xiong-Lin
    Xue, Xue-Yi
    Wei, Yong
    Xu, Ning
    BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE, 2025, 1871 (03):