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The Use of Reverse Phase Protein Arrays (RPPA) to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
Gene expression profiling predicts survival in conventional renal cell carcinoma
Hongjuan Zhao1, Börje Ljungberg, Kjell Grankvist
1Department of Urology, Stanford University School of Medicine, Stanford, California, USA.
Plos Medicine
|December 2, 2005
Summary
Researchers identified 259 genes that predict survival in conventional renal cell carcinoma (cRCC) patients after surgery. This gene expression signature is independent of traditional prognostic factors like stage and grade, offering new insights into kidney cancer prognosis.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Conventional renal cell carcinoma (cRCC) is the primary cause of kidney cancer mortality.
- Current survival prediction relies on tumor stage, grade, and patient performance status.
- There is a need for molecular markers to improve survival prediction in cRCC.
Purpose of the Study:
- To identify gene expression features correlating with survival in cRCC.
- To develop a gene expression-based predictor for disease-specific survival.
Main Methods:
- Comprehensive gene expression profiling using DNA microarrays on 177 primary cRCCs.
- Unsupervised hierarchical clustering to identify gene expression subgroups.
- Semisupervised learning (supervised principal components analysis) to identify survival-associated transcripts.
- Validation using independent training and test sets balanced for clinical factors.
Main Results:
- cRCC segregated into five distinct gene expression subgroups.
- Expression subgroup correlated with survival, independent of clinical factors.
- A 259-gene signature accurately predicted disease-specific survival (p < 0.001).
- The gene expression predictor was a strong, independent prognostic factor in multivariate analysis (p < 0.001).
Conclusions:
- cRCC exhibits molecular heterogeneity, with gene expression subgroups linked to survival outcomes.
- A 259-gene set effectively predicts post-surgical survival in cRCC, independent of clinical prognosticators.
