Genomic profiling of gastric cancer predicts lymph node status and survival

Marjan M. Weiss, Ernst J. Kuipers, Cindy Postma, Antoine M. Snijders, Ivar Siccama, Daniel Pinkel, Johan Westerga, Stefan G.M. Meuwissen, Donna G. Albertson, Gerrit A. Meijer

Research output: Contribution to journalArticlepeer-review

Abstract

Gastric carcinogenesis is driven by an accumulation of genetic changes that to a large extent occur at the chromosomal level. We analysed the patterns of chromosomal instability in 35 gastric carcinomas and their clinical correlations. With microarray competitive genomic hybridization, genomewide chromosomal copy number changes can be studied with high resolution and sensitivity. A genomewide scanning array with 2275 BAC and P1 clones spotted in triplicate was used. This array provided an average resolution of 1.4Mb across the genome. Patterns of chromosomal aberrations were analysed by hierarchical cluster analysis of the normalized log2 tumour to normal fluorescence ratios of all clones, and cluster membership was correlated to clinicopathological data including survival. Hierarchical cluster analysis revealed three groups with different genomic profiles that correlated significantly with lymph node status (P = 0.02). Moreover, gastric cancer cases from cluster 3 showed a significantly better prognosis than those from clusters 1 and 2 (P = 0.02). Genomic profiling of gastric adenocarcinomas based on microarray analysis of chromosomal copy number changes predicted lymph node status and survival. The possibility to discriminate between patients with a high risk of lymph node metastasis could clinically be helpful for selecting patients for extended lymph node resection.

Original languageEnglish (US)
Pages (from-to)1872-1879
Number of pages8
JournalOncogene
Volume22
Issue number12
DOIs
StatePublished - Mar 27 2003

Keywords

  • Gastric cancer
  • Genomic profiling
  • Microarray CGH
  • Survival

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Cancer Research

Fingerprint Dive into the research topics of 'Genomic profiling of gastric cancer predicts lymph node status and survival'. Together they form a unique fingerprint.

Cite this