Prognostic Implications and Immune Infiltration in the Nod-like receptor signaling pathway: A Comprehensive Analysis across Pan-cancer 

Authors

  • Qiuxia Meng Information and Management College of Guangxi Medical University Author
  • Tengcheng Que Faculty of Data Science, City University of Macau Author
  • Tengyue Yan Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry of Guangxi Medical University Author
  • Zengjing Liu Information and Management College of Guangxi Medical University Author
  • Huilin Wei Life Sciences College of Guangxi Medical University Author
  • Bo Xie Information and Management College of Guangxi Medical University Author
  • Boying Liang Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University Author
  • Wen Li Life Sciences College of Guangxi Medical University Author
  • Die Zhang Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry of Guangxi Medical University Author
  • Nili Jiang Life Sciences College of Guangxi Medical University Author
  • Huifeng Wang Department of Human Anatomy, School of Basic Medical Sciences, Guangxi Medical University Author
  • Wenjian Liu Faculty of Data Science, City University of Macau Author
  • Yanling Hu Information and Management College of Guangxi Medical University Author

DOI:

https://doi.org/10.71373/ZAGA8611

Keywords:

Nod-like receptor signaling pathway, pan-cancer, prognostic marker, Immune Infiltration

Abstract

Purpose

Nucleotide-binding oligosaccharide-like receptors (NOD) are pivotal molecules with crucial roles in the regulation of inflammation, tumor transformation, angiogenesis, tumor stem cells, and chemoresistance. This study aimed to assess the prognostic implications of NOD signaling in diverse cancer types and its relationship with immune infiltration.

 

Methods

Gene expression data from TCGA related to the NOD signaling pathway were integrated with clinical data. Prognostically relevant NOD pathway genes were analyzed using univariate and multivariate Cox regression and Kaplan-Meier survival analysis. The accuracy of our prediction model was validated through receiver operating characteristic (ROC) curve analysis.Single-cell analysis of genes associated with reduced survival in patients, and single-sample immunoinfiltration analysis revealed cell-level differences between different groups.

 

Results

Univariate Cox regression analysis, multivariate cox regression analysis and Kaplan-Meier analysis were used to identify prognostic genes in NOD pathway. TRAF5 is an important prognostic gene in multiple cancer types, and mutation analysis showed that patients with TRAF5 mutations had reduced survival. Immune infiltration analysis revealed differences in effector memory CD8 T cells and immature B cells between high- and low-risk groups, suggesting potential druggable targets. Single-cell analysis highlighted that reduced survival was associated with overexpression of TXN in both primary and metastatic tissues.

 

Conclusion

NOD signaling pathway, specifically TRAF5, plays a critical role in cancer prognosis across various cancer types. Immune infiltration disparities offer therapeutic opportunities, and TXN represents a promising target for novel anticancer treatments. 

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Published

2024-11-01

How to Cite

Prognostic Implications and Immune Infiltration in the Nod-like receptor signaling pathway: A Comprehensive Analysis across Pan-cancer . (2024). ICell, 1(1). https://doi.org/10.71373/ZAGA8611

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