Literature DB >> 12660823

Genomic profiling of gastric cancer predicts lymph node status and survival.

Marjan M Weiss1, Ernst J Kuipers, Cindy Postma, Antoine M Snijders, Ivar Siccama, Daniel Pinkel, Johan Westerga, Stefan G M Meuwissen, Donna G Albertson, Gerrit A Meijer.   

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 1.4 Mb across the genome. Patterns of chromosomal aberrations were analysed by hierarchical cluster analysis of the normalized log(2) 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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Year:  2003        PMID: 12660823     DOI: 10.1038/sj.onc.1206350

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  24 in total

1.  High resolution microarray comparative genomic hybridisation analysis using spotted oligonucleotides.

Authors:  B Carvalho; E Ouwerkerk; G A Meijer; B Ylstra
Journal:  J Clin Pathol       Date:  2004-06       Impact factor: 3.411

2.  Losses of chromosome 5q and 14q are associated with favorable clinical outcome of patients with gastric cancer.

Authors:  Tineke E Buffart; Beatriz Carvalho; Nicole C T van Grieken; Wessel N van Wieringen; Marianne Tijssen; Elma Meershoek-Klein Kranenbarg; Henk M W Verheul; Heike I Grabsch; Bauke Ylstra; Cornelis J H van de Velde; Gerrit A Meijer
Journal:  Oncologist       Date:  2012-04-24

3.  Gene expression profiling of gastric cancer by microarray combined with laser capture microdissection.

Authors:  Ming-Shiang Wu; Yi-Shing Lin; Yu-Ting Chang; Chia-Tung Shun; Ming-Tsan Lin; Jaw-Town Lin
Journal:  World J Gastroenterol       Date:  2005-12-21       Impact factor: 5.742

Review 4.  Chromosome analysis: what and when to request.

Authors:  F H Sharkey; E Maher; D R FitzPatrick
Journal:  Arch Dis Child       Date:  2005-12       Impact factor: 3.791

5.  Lectin microarray technology identifies specific lectins related to lymph node metastasis of advanced gastric cancer.

Authors:  Keishi Yamashita; Atsushi Kuno; Atsushi Matsuda; Yuzuru Ikehata; Natsuya Katada; Jun Hirabayashi; Hisashi Narimatsu; Masahiko Watanabe
Journal:  Gastric Cancer       Date:  2015-04-04       Impact factor: 7.370

Review 6.  Surgical management of esophagogastric junction tumors.

Authors:  Burkhard H A von Rahden; Hubert J Stein; J Rüdiger Siewert
Journal:  World J Gastroenterol       Date:  2006-11-07       Impact factor: 5.742

7.  NMD inhibition fails to identify tumour suppressor genes in microsatellite stable gastric cancer cell lines.

Authors:  Tineke E Buffart; Marianne Tijssen; Jamila El-Bchiri; Alex Duval; Mark A van de Wiel; Bauke Ylstra; Gerrit A Meijer; Beatriz Carvalho
Journal:  BMC Med Genomics       Date:  2009-06-29       Impact factor: 3.063

8.  Gastric cancer.

Authors:  Henk H Hartgrink; Edwin P M Jansen; Nicole C T van Grieken; Cornelis J H van de Velde
Journal:  Lancet       Date:  2009-07-20       Impact factor: 79.321

9.  Normalized, segmented or called aCGH data?

Authors:  Wessel N van Wieringen; Mark A van de Wiel; Bauke Ylstra
Journal:  Cancer Inform       Date:  2007-09-17

10.  High resolution analysis of DNA copy-number aberrations of chromosomes 8, 13, and 20 in gastric cancers.

Authors:  Tineke E Buffart; Nicole C T van Grieken; Marianne Tijssen; Jordy Coffa; Bauke Ylstra; Heike I Grabsch; Cornelis J H van de Velde; Beatriz Carvalho; Gerrit A Meijer
Journal:  Virchows Arch       Date:  2009-08-21       Impact factor: 4.064

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