Prognostic value of EPCR-PAR1 anti-inflammatory pathway in kidney renal clear-cell carcinoma

  • CHANG Dichao ,
  • LIU Xuanqi ,
  • ZHU Lingyan ,
  • BAI Li
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  • 1. Department of Rheumatology and Immunology, The First Affiliated Hospital of Baotou Medical College, Baotou 014010, China;
    2. The Central Laboratory of the First Affiliated Hospieal of Baotou Medical College (Inner Mongolia Key Laboratory of Autoimmunology)

Received date: 2024-02-10

  Online published: 2025-02-24

Abstract

Objective: In this study, we analyzed the relationship between the EPCR-PAR1 anti-inflammatory pathway and Kidney renal clear-cell carcinoma (KIRC), conducted an in-depth and comprehensive biological analysis, and explored new therapeutic targets in KIRC. Methods: We systematically analyzed expression of eight anti-inflammatory genes of the EPCR-PAR1 pathway in KIRC and normal samples from The Cancer Genome Atlas (TCGA) KIRC database. Using least absolute shrinkage and selection operator LASSO cox regression analysis to get a prognostic signature based on EPCR-PAR1 pathway expression. Results: We created a five-gene risk score model (risk score=0.100 82×F3+0.046 40×PROC-0.353 21×vWF+0.152 82×CAV1+0.180 69×GRK5). The prediction ability of the model was analyzed by the time-dependent ROC curve, and the prognosis model constructed by combining risk score and clinical factors had good prediction performance. Univariate and multivariate Cox regression analyses of relevant clinicopathological characters and risk score revealed that risk score was an independent risk factor for KIRC [hazard ratio (HR), 3.2; 95% confidence interval(CI), 1.9-5.6; P<0.000 1]. Conclusion: Genes in the EPCR-PAR1 anti-inflammatory pathway could serve as auxiliary markers in the diagnosis and prognosis of KIRC.

Cite this article

CHANG Dichao , LIU Xuanqi , ZHU Lingyan , BAI Li . Prognostic value of EPCR-PAR1 anti-inflammatory pathway in kidney renal clear-cell carcinoma[J]. Journal of Baotou Medical College, 2025 , 41(1) : 60 -67 . DOI: 10.16833/j.cnki.jbmc.2025.01.011

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