Literature DB >> 15902956

Discovery of a new biomarker for gastroenterological cancers.

Hiroyuki Aburatani1.   

Abstract

Various genomic technologies have been applied to address crucial problems in cancer biology, because cancer develops through the accumulation of various genetic alterations. Of these, gene expression profiling analysis using microarray technology has been widely applied not only to classify cancers at molecular levels, but also to identify novel molecular targets for therapeutics and/or diagnostics. To gain molecular understanding of gastric carcinogenesis, progression, and diversity, we analyzed primary advanced gastric cancer and noncancerous gastric tissues by high-density oligonucleotide microarray. Genes differentially expressed between cancer and noncancerous tissues were identified. In cancer tissues, genes related to cell cycle, growth factor, cell motility, cell adhesion, and matrix remodeling were highly expressed, whereas those related to gastrointestinal-specific function and immune response were rather downregulated. These results provide not only a new molecular basis for understanding biological properties of gastric cancer but also useful resources for future development of therapeutic and diagnostic biomarkers for gastric cancer. Several microarray studies have been published since and have been compared for validation in meta-analysis. As integration of transcriptome information with other biological data is crucial to interpret gene expression data, we have applied oligonucleotide microarray technology to assess allelic gene dosage at 10000 polymorphic loci, namely with an average interval of 200kb. Using a newly developed algorithm, genome imbalance map, loss of heterozygosity (LOH) status can be determined simultaneously. Besides several loci with genomic amplification, we also identified a homozygously deleted chromosomal region in 7q, where frequent chromosomal instability was observed. Finally, we are currently developing novel biomarkers for gastroenterological cancers. Glypican 3 is detected at high levels in serum of hepatocellular carcinoma patients and could be a potential target for antibody therapy.

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Year:  2005        PMID: 15902956     DOI: 10.1007/bf02990571

Source DB:  PubMed          Journal:  J Gastroenterol        ISSN: 0944-1174            Impact factor:   7.527


  18 in total

1.  Expression imbalance map: a new visualization method for detection of mRNA expression imbalance regions.

Authors:  Makoto Kano; Kunihiro Nishimura; Shumpei Ishikawa; Shuichi Tsutsumi; Koichi Hirota; Michitaka Hirose; Hiroyuki Aburatani
Journal:  Physiol Genomics       Date:  2003-03-18       Impact factor: 3.107

2.  Glypican-3, overexpressed in hepatocellular carcinoma, modulates FGF2 and BMP-7 signaling.

Authors:  Yutaka Midorikawa; Shumpei Ishikawa; Hiroko Iwanari; Takeshi Imamura; Hirohiko Sakamoto; Kohei Miyazono; Tatsuhiko Kodama; Masatoshi Makuuchi; Hiroyuki Aburatani
Journal:  Int J Cancer       Date:  2003-02-10       Impact factor: 7.396

3.  Differential gene expression profiles of scirrhous gastric cancer cells with high metastatic potential to peritoneum or lymph nodes.

Authors:  Y Hippo; M Yashiro; M Ishii; H Taniguchi; S Tsutsumi; K Hirakawa; T Kodama; H Aburatani
Journal:  Cancer Res       Date:  2001-02-01       Impact factor: 12.701

4.  Phospholipase A2 group IIA expression in gastric adenocarcinoma is associated with prolonged survival and less frequent metastasis.

Authors:  Suet Y Leung; Xin Chen; Kent M Chu; Siu T Yuen; Jonathan Mathy; Jiafu Ji; Annie S Y Chan; Rui Li; Simon Law; Olga G Troyanskaya; I-Ping Tu; John Wong; Samuel So; David Botstein; Patrick O Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-27       Impact factor: 11.205

5.  Identification of soluble NH2-terminal fragment of glypican-3 as a serological marker for early-stage hepatocellular carcinoma.

Authors:  Yoshitaka Hippo; Kiyotaka Watanabe; Akira Watanabe; Yutaka Midorikawa; Shogo Yamamoto; Sigeo Ihara; Susumu Tokita; Hiroko Iwanari; Yukio Ito; Kiyotaka Nakano; Jun-ichi Nezu; Hiroyuki Tsunoda; Takeshi Yoshino; Iwao Ohizumi; Masayuki Tsuchiya; Shin Ohnishi; Masatoshi Makuuchi; Takao Hamakubo; Tatsuhiko Kodama; Hiroyuki Aburatani
Journal:  Cancer Res       Date:  2004-04-01       Impact factor: 12.701

6.  Distinctive patterns of gene expression in premalignant gastric mucosa and gastric cancer.

Authors:  Alex Boussioutas; Hong Li; Jia Liu; Paul Waring; Stephen Lade; Andrew J Holloway; Douglas Taupin; Kylie Gorringe; Izhak Haviv; Paul V Desmond; David D L Bowtell
Journal:  Cancer Res       Date:  2003-05-15       Impact factor: 12.701

7.  A combined comparative genomic hybridization and expression microarray analysis of gastric cancer reveals novel molecular subtypes.

Authors:  Su Ting Tay; Siew Hong Leong; Kun Yu; Amit Aggarwal; Soo Yong Tan; Chee How Lee; Keith Wong; Jaya Visvanathan; Dennis Lim; Wai Keong Wong; Khee Chee Soo; Oi Lian Kon; Patrick Tan
Journal:  Cancer Res       Date:  2003-06-15       Impact factor: 12.701

8.  High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays.

Authors:  D Pinkel; R Segraves; D Sudar; S Clark; I Poole; D Kowbel; C Collins; W L Kuo; C Chen; Y Zhai; S H Dairkee; B M Ljung; J W Gray; D G Albertson
Journal:  Nat Genet       Date:  1998-10       Impact factor: 38.330

9.  Expression profiling identifies chemokine (C-C motif) ligand 18 as an independent prognostic indicator in gastric cancer.

Authors:  Suet Yi Leung; Siu Tsan Yuen; Kent-Man Chu; Jonathan A Mathy; Rui Li; Annie S Y Chan; Simon Law; John Wong; Xin Chen; Samuel So
Journal:  Gastroenterology       Date:  2004-08       Impact factor: 22.682

Review 10.  Genomic microarrays in the spotlight.

Authors:  Kiran K Mantripragada; Patrick G Buckley; Teresita Diaz de Ståhl; Jan P Dumanski
Journal:  Trends Genet       Date:  2004-02       Impact factor: 11.639

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  2 in total

1.  Validation of glypican-3-specific scFv isolated from paired display/secretory yeast display library.

Authors:  Yonghai Li; Donald L Siegel; Nathalie Scholler; David E Kaplan
Journal:  BMC Biotechnol       Date:  2012-05-07       Impact factor: 2.563

2.  Faecal ribosomal protein L19 is a genetic prognostic factor for survival in colorectal cancer.

Authors:  C-J Huang; C-C Chien; S-H Yang; C-C Chang; H-L Sun; Y-C Cheng; C-C Liu; S-C Lin; C-M Lin
Journal:  J Cell Mol Med       Date:  2008-02-04       Impact factor: 5.310

  2 in total

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