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Updated: Aug 27, 2025

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
12:22

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers

Published on: January 22, 2013

33.7K

Analysis of genomes and transcriptomes of clear cell renal cell carcinomas identifies mutations and gene expression

Xiangyu Che1, Jianyi Li2, Yingkun Xu3

  • 1Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.

Frontiers in Genetics
|October 3, 2022
PubMed

Insights

Clear cell renal cell carcinoma (ccRCC) prognosis is linked to the transforming growth factor-β (TGF-β) pathway. Higher TGF-β scores indicate better survival and guide targeted therapy selection for ccRCC patients.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Clear cell renal cell carcinoma (ccRCC) pathogenesis involves alterations in the transforming growth factor-β (TGF-β) signaling pathway.
  • Understanding these alterations is crucial for identifying novel therapeutic targets and improving patient outcomes.

Purpose of the Study:

  • To investigate the impact of TGF-β pathway dysregulation on ccRCC.
  • To identify prognostic biomarkers and therapeutic targets within the TGF-β pathway for ccRCC.

Main Methods:

  • Transcriptome analysis of 539 ccRCC cases from The Cancer Genome Atlas (TCGA).
  • Unsupervised hierarchical clustering to stratify samples into TGF-β pathway activity clusters.
  • Correlation analysis of TGF-β pathway gene expression with clinical outcomes and drug sensitivity.

Main Results:

  • Dysregulation of 76 out of 85 TGF-β pathway genes was observed in ccRCC.
  • Fifty-five genes were identified as significant protective or risk factors for ccRCC prognosis.
  • Patients with high TGF-β pathway scores exhibited significantly better overall survival (OS) and differential sensitivity to targeted drugs compared to those with low scores.

Conclusions:

  • A prognostic model based on the TGF-β pathway can effectively predict ccRCC patient outcomes.
  • Stratifying ccRCC patients by TGF-β score aids in prognosis evaluation, targeted drug selection, and identification of new therapeutic strategies.
Keywords:
TCGATGF-βccRCCprognosistreatment

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