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

doi:10.1038/sj.onc.1206350

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

Oral and Maxillofacial Surgery

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	1872-1879
Number of pages	8
Journal	Oncogene
Volume	22
Issue number	12
DOIs	https://doi.org/10.1038/sj.onc.1206350
State	Published - Mar 27 2003

Keywords

Gastric cancer
Genomic profiling
Microarray CGH
Survival

ASJC Scopus subject areas

Molecular Biology
Genetics
Cancer Research

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10.1038/sj.onc.1206350

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title = "Genomic profiling of gastric cancer predicts lymph node status and survival",

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.",

keywords = "Gastric cancer, Genomic profiling, Microarray CGH, Survival",

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

note = "Funding Information: We thank Nils Brown for printing the microarray slides. This work was supported by the University Stimulation Foundation of the VU University (USF).",

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T1 - Genomic profiling of gastric cancer predicts lymph node status and survival

AU - Weiss, Marjan M.

AU - Kuipers, Ernst J.

AU - Postma, Cindy

AU - Snijders, Antoine M.

AU - Siccama, Ivar

AU - Pinkel, Daniel

AU - Westerga, Johan

AU - Meuwissen, Stefan G.M.

AU - Albertson, Donna G.

AU - Meijer, Gerrit A.

N1 - Funding Information: We thank Nils Brown for printing the microarray slides. This work was supported by the University Stimulation Foundation of the VU University (USF).

PY - 2003/3/27

Y1 - 2003/3/27

N2 - 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.

AB - 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.

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Genomic profiling of gastric cancer predicts lymph node status and survival

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Keywords

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