An Integrative Analysis to Identify Driver Genes in Esophageal Squamous Cell Carcinoma

PLoS One. 2015 Oct 14;10(10):e0139808. doi: 10.1371/journal.pone.0139808. eCollection 2015.

Abstract

Background: Few driver genes have been well established in esophageal squamous cell carcinoma (ESCC). Identification of the genomic aberrations that contribute to changes in gene expression profiles can be used to predict driver genes.

Methods: We searched for driver genes in ESCC by integrative analysis of gene expression microarray profiles and copy number data. To narrow down candidate genes, we performed survival analysis on expression data and tested the genetic vulnerability of each genes using public RNAi screening data. We confirmed the results by performing RNAi experiments and evaluating the clinical relevance of candidate genes in an independent ESCC cohort.

Results: We found 10 significantly recurrent copy number alterations accompanying gene expression changes, including loci 11q13.2, 7p11.2, 3q26.33, and 17q12, which harbored CCND1, EGFR, SOX2, and ERBB2, respectively. Analysis of survival data and RNAi screening data suggested that GRB7, located on 17q12, was a driver gene in ESCC. In ESCC cell lines harboring 17q12 amplification, knockdown of GRB7 reduced the proliferation, migration, and invasion capacities of cells. Moreover, siRNA targeting GRB7 had a synergistic inhibitory effect when combined with trastuzumab, an anti-ERBB2 antibody. Survival analysis of the independent cohort also showed that high GRB7 expression was associated with poor prognosis in ESCC.

Conclusion: Our integrative analysis provided important insights into ESCC pathogenesis. We identified GRB7 as a novel ESCC driver gene and potential new therapeutic target.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Algorithms
  • Carcinoma, Squamous Cell / genetics*
  • Chromosome Aberrations
  • Chromosomes / ultrastructure
  • Cohort Studies
  • DNA Copy Number Variations*
  • Esophageal Neoplasms / genetics*
  • Esophageal Squamous Cell Carcinoma
  • Female
  • GRB7 Adaptor Protein / genetics
  • Gene Amplification
  • Gene Expression
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic
  • Genomics
  • Humans
  • Male
  • Middle Aged
  • Oligonucleotide Array Sequence Analysis
  • Polymorphism, Single Nucleotide
  • Prognosis
  • RNA Interference

Substances

  • GRB7 protein, human
  • GRB7 Adaptor Protein

Associated data

  • GEO/GSE47404
  • GEO/GSE47630

Grants and funding

Funding was provided by Grants-in-Aid for Scientific Research (grant number 21229015) and the Funding Program for Next Generation World-Leading Researchers (LS094).