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Updated: Jun 16, 2026

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
Single-cell transcriptomic analysis in clear cell renal cell carcinoma: Deciphering the role of APP within the tumour
1Department of Urology, Fuyang People's Hospital of Anhui Medical University, Fuyang, China.
Abstract:
Clear cell renal cell carcinoma (ccRCC) represents a significant challenge in oncology, primarily due to its resistance to conventional therapies. Understanding the tumour microenvironment (TME) is crucial for developing new treatment strategies. This study focuses on the role of amyloid precursor protein (APP) in tumour-associated macrophages (TAMs) within the ccRCC TME, exploring its potential as a prognostic biomarker. Basing TAM-related genes, the prognostic model was important to constructed. Employing advanced single-cell transcriptomic analysis, this research dissects the TME of ccRCC at an unprecedented cellular resolution. By isolating and examining the gene expression profiles of individual cells, particularly focusing on TAMs, the study investigates the expression levels of APP and their association with the clinical outcomes of ccRCC patients. The analysis reveals a significant correlation between the expression of APP in TAMs and patient prognosis in ccRCC. Patients with higher APP expression in TAMs showed differing clinical outcomes compared to those with lower expression. This finding suggests that APP could serve as a novel prognostic biomarker for ccRCC, providing insights into the disease progression and potential therapeutic targets. This study underscores the importance of single-cell transcriptomics in understanding the complex dynamics of the TME in ccRCC. The correlation between APP expression in TAMs and patient prognosis highlights APP as a potential prognostic biomarker. However, further research is needed to validate these findings and explore the regulatory mechanisms and therapeutic implications of APP in ccRCC.
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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