Angiogenesis Pathway in Kidney Renal Clear Cell Carcinoma and Its Prognostic Value for Cancer Risk Prediction

Xiangyu Che1, Wenyan Su2, Xiaowei Li1

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

Frontiers in Medicine
|November 15, 2021
PubMed

Insights

Investigating angiogenesis-related genes in kidney renal clear cell carcinoma (KIRC) revealed protective roles and identified patient clusters with distinct survival outcomes. This work supports personalized KIRC treatment strategies based on gene expression.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Angiogenesis is crucial in cancer, but its dysregulation and the efficacy of inhibitors remain challenging.
  • Understanding the role of angiogenesis-related genes is vital for improving targeted cancer therapies.
  • Kidney renal clear cell carcinoma (KIRC) presents a significant need for novel therapeutic strategies.

Purpose of the Study:

  • To explore the expression patterns of angiogenesis-related genes in KIRC using The Cancer Genome Atlas (TCGA) datasets.
  • To correlate gene expression clusters with patient survival and drug sensitivity.
  • To develop a prognostic model for KIRC survival prediction based on angiogenesis pathways.

Main Methods:

  • Analysis of TCGA datasets to identify angiogenesis-related gene expression in KIRC.
  • Clustering of KIRC samples based on mRNA expression levels.
  • Drug sensitivity analysis using the Genomics of Drug Sensitivity in Cancer (GDSC) database.
  • Correlation analysis with cancer-related genes and immune cell infiltration.
  • Least Absolute Shrinkage and Selection Operator (LASSO)-Cox regression for prognostic model construction.

Main Results:

  • Most angiogenesis-related genes were found to be protective in KIRC patients.
  • Three distinct patient clusters were identified, with Cluster 2 (upregulated expression) showing the highest overall survival.
  • IC50 estimates for 12 targeted drugs varied across clusters, suggesting personalized treatment potential.
  • A novel risk score model based on angiogenesis-related genes demonstrated high prognostic value (ROC analysis).

Conclusions:

  • Angiogenesis-related genes play a protective role in KIRC and can stratify patients by survival.
  • Gene expression profiling offers a pathway to personalized drug selection for KIRC.
  • The developed risk score model provides a valuable tool for predicting KIRC patient survival.

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