Stratification of clear cell renal cell carcinoma by signaling pathway analysis

Expert Rev Proteomics. 2014 Apr;11(2):237-49. doi: 10.1586/14789450.2014.893193. Epub 2014 Feb 27.

Abstract

Investigation of cell signaling pathways in 16 clear cell renal cell carcinomas to identify groups based on commonly shared phosphorylation-driven signaling networks. Using laser capture microdissection and reverse-phase protein arrays, we profiled 75 key nodes spanning signaling pathways important in tumorigenesis. Analysis revealed significantly different (P < 0.05) signaling levels for 27 nodes between two groups of samples, designated A (4 samples; high EGFR, RET, and RASGFR1 levels, converging to activate AKT/mTOR) and B (12 samples; high ERK1/2 and STAT phosphorylation). Group B was further partitioned into groups C (7 samples; elevated expression of LC3B) and D (5 samples; activation of Src and STAT). Network analysis indicated that group A was characterized by signaling pathways related to cell cycle and proliferation, and group B by pathways related to cell death and survival. Homogeneous clear cell renal cell carcinomas could be stratified into at least two major functional groups.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Biomarkers, Tumor / metabolism*
  • Carcinoma, Renal Cell / metabolism*
  • Carcinoma, Renal Cell / pathology
  • Female
  • Gene Dosage
  • Humans
  • Kidney Neoplasms / metabolism*
  • Kidney Neoplasms / pathology
  • Laser Capture Microdissection
  • Male
  • Middle Aged
  • Phosphorylation
  • Protein Array Analysis
  • Signal Transduction*
  • Young Adult

Substances

  • Biomarkers, Tumor