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<p>This study presents a pioneering exploration into the role of aggrephagy-related genes (ARGs) in glioblastoma (GB), a kind of malignant tumor which is highly invasive and resistant to a series of therapy. Utilizing single-cell sequencing to dissect their influence on the tumor microenvironment (TME) and tumorigenesis. By applying non-negative matrix factorization for dimensionality reduction and clustering of single-cell data, distinct cellular subtypes within the TME influenced by ARGs were identified, uncovering their functions and interactions. The investigation extends to validating the prognostic significance of ARGs and their potential in predicting immunotherapy outcomes. Molecular docking analysis of key ARGs further highlights TUBA1C and UBB as promising therapeutic targets, offering novel insights into GB’s complex biology and suggesting a targeted approach for therapy, which is characterized by some crucial pathways in our analysis, including PI3k-akt and TGF-beta pathways. This comprehensive single-cell level examination not only advances our understanding of aggrephagy’s role in GB but also proposes new avenues for prognosis and treatment strategies, emphasizing the critical impact of ARGs on the TME and GB progression. </p>

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Integrating multi-omics data to identify the role of Aggrephagy-related genes in tumor microenvironment and key tumorigenesis factors of GB from the perspective of single-cell sequencing

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月16日

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  • Zipei Chen,
  • Shengke Zhang,
  • Chenglu Jiang,
  • Lai Jiang,
  • Haiqing Chen,
  • Jinbang Huang,
  • Jie Liu,
  • Guanhu Yang,
  • Xiufang Luo,
  • Hao Chi,
  • Jiangping Fu

摘要

This study presents a pioneering exploration into the role of aggrephagy-related genes (ARGs) in glioblastoma (GB), a kind of malignant tumor which is highly invasive and resistant to a series of therapy. Utilizing single-cell sequencing to dissect their influence on the tumor microenvironment (TME) and tumorigenesis. By applying non-negative matrix factorization for dimensionality reduction and clustering of single-cell data, distinct cellular subtypes within the TME influenced by ARGs were identified, uncovering their functions and interactions. The investigation extends to validating the prognostic significance of ARGs and their potential in predicting immunotherapy outcomes. Molecular docking analysis of key ARGs further highlights TUBA1C and UBB as promising therapeutic targets, offering novel insights into GB’s complex biology and suggesting a targeted approach for therapy, which is characterized by some crucial pathways in our analysis, including PI3k-akt and TGF-beta pathways. This comprehensive single-cell level examination not only advances our understanding of aggrephagy’s role in GB but also proposes new avenues for prognosis and treatment strategies, emphasizing the critical impact of ARGs on the TME and GB progression.