Single-cell transcriptomic analysis in clear cell renal cell carcinoma: Deciphering the role of APP within the tumour

Bo Guan1, Ming Li1, Di Cui2

  • 1Department of Urology, Fuyang People's Hospital of Anhui Medical University, Fuyang, China.

Insights

Amyloid precursor protein (APP) in tumor-associated macrophages (TAMs) may predict clear cell renal cell carcinoma (ccRCC) outcomes. Higher APP expression in TAMs correlates with different patient prognoses, suggesting APP as a potential ccRCC biomarker.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Clear cell renal cell carcinoma (ccRCC) is challenging due to therapy resistance.
  • The tumor microenvironment (TME) is critical for developing new ccRCC treatments.
  • Tumor-associated macrophages (TAMs) are key components of the ccRCC TME.

Purpose of the Study:

  • To investigate the role of amyloid precursor protein (APP) in TAMs within the ccRCC TME.
  • To explore APP's potential as a prognostic biomarker in ccRCC.
  • To correlate APP expression in TAMs with clinical outcomes of ccRCC patients.

Main Methods:

  • Utilized single-cell transcriptomic analysis to dissect the ccRCC TME at cellular resolution.
  • Isolated and examined gene expression profiles of individual cells, focusing on TAMs.
  • Constructed a prognostic model based on TAM-related genes.

Main Results:

  • Identified a significant correlation between APP expression in TAMs and ccRCC patient prognosis.
  • Observed differing clinical outcomes in patients with high versus low APP expression in TAMs.
  • Highlighted APP as a potential novel prognostic biomarker for ccRCC.

Conclusions:

  • Single-cell transcriptomics is vital for understanding ccRCC TME complexity.
  • APP expression in TAMs shows promise as a prognostic biomarker for ccRCC.
  • Further research is needed to validate findings and explore therapeutic implications of APP in ccRCC.

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