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Identification and validation of a novel signature based on macrophage marker genes for predicting prognosis and drug response in kidney renal clear cell carcinoma by integrated analysis of single cell and bulk RNA sequencing

  • 0Department of Oncology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Aging +

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March 22, 2024

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March 22, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study identifies macrophage marker genes to predict kidney cancer survival and immune response. A new five-gene signature helps stratify patients, guiding potential immunotherapy strategies.

Area Of Science

  • Oncology
  • Immunology
  • Bioinformatics

Background

  • Macrophages are crucial in the tumor microenvironment, influencing kidney renal clear cell carcinoma (KIRC) progression.
  • The clinical significance of macrophage markers in KIRC remains underexplored.

Purpose Of The Study

  • To identify macrophage marker genes (MMGs) associated with KIRC.
  • To develop a prognostic signature for KIRC patients.
  • To explore the relationship between MMGs, immune characteristics, and immunotherapy response.

Main Methods

  • Analysis of single-cell RNA sequencing data from Gene Expression Omnibus (GEO).
  • Development of a five-gene prognostic signature using TCGA data via regression analyses.
  • Construction and validation of a nomogram for survival prediction.
  • Functional enrichment and immune cell infiltration analysis.

Main Results

  • Identified 244 macrophage marker genes (MMGs) in KIRC.
  • Developed a five-gene signature classifying KIRC patients into low-risk and high-risk groups.
  • The high-risk group showed enriched immune-related pathways, increased immune cell infiltration, elevated immune checkpoint genes (ICGs), and higher TIDE scores, suggesting poorer immunotherapy response.
  • IFI30 was validated to promote KIRC cell proliferation, invasion, and migration.

Conclusions

  • A novel five-gene prognostic signature based on MMGs accurately predicts overall survival (OS) in KIRC patients.
  • This signature correlates with distinct immune profiles and may predict immunotherapy benefit.
  • IFI30 plays a role in KIRC progression.

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