Literature DB >> 15033468

DNA microarray analysis of the correlation between gene expression patterns and acquired resistance to 5-FU/cisplatin in gastric cancer.

Hark Kyun Kim1, Il Ju Choi, Hee Sung Kim, Ju Han Kim, Eugene Kim, In Sook Park, Jong Ho Chun, In-Hoo Kim, Il-Jin Kim, Hio Chung Kang, Jae-Hyun Park, Jae-Moon Bae, Jin Soo Lee, Jae-Gahb Park.   

Abstract

The mechanisms of intrinsic and/or acquired anti-cancer drug resistance have been described in in vitro resistance models, but the clinical relevance has remained undefined. We undertook a prospective study to identify correlations between gene expression and clinical resistance to 5-FU/cisplatin. We compared expression profiles from gastric cancer endoscopic biopsy specimens obtained at a chemosensitive state (partial remission after 5-FU/cisplatin) with those obtained at a refractory state (disease progression), using Affymetrix oligonucleotide microarray technology (U133A). Using 119 discriminating probes and a cross-validation approach, we were able to correctly identify the chemo-responsiveness of 7 pairs of training samples and 1 independent test pair. These exploratory data demonstrate that the gene expression profiles differ between chemosensitive and refractory state gastric cancer biopsy samples.

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Year:  2004        PMID: 15033468     DOI: 10.1016/j.bbrc.2004.02.109

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  15 in total

1.  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

2.  Predicting human immunodeficiency virus protease cleavage sites in nonlinear projection space.

Authors:  Xuehua Li; Hongli Hu; Lan Shu
Journal:  Mol Cell Biochem       Date:  2010-01-07       Impact factor: 3.396

Review 3.  Challenges in predicting the clinical outcome in S-1-based chemotherapy for gastric cancer patients.

Authors:  Wataru Ichikawa; Yasutsuna Sasaki
Journal:  Int J Clin Oncol       Date:  2008-06-14       Impact factor: 3.402

4.  Microarray applications in cancer research.

Authors:  Il-Jin Kim; Hio Chung Kang; Jae-Gahb Park
Journal:  Cancer Res Treat       Date:  2004-08-31       Impact factor: 4.679

Review 5.  Molecular markers for gastric adenocarcinoma: an update.

Authors:  Casandra Anderson; Amar Nijagal; Joseph Kim
Journal:  Mol Diagn Ther       Date:  2006       Impact factor: 4.074

6.  Three-gene predictor of clinical outcome for gastric cancer patients treated with chemotherapy.

Authors:  H K Kim; I J Choi; C G Kim; H S Kim; A Oshima; Y Yamada; T Arao; K Nishio; A Michalowski; J E Green
Journal:  Pharmacogenomics J       Date:  2010-12-21       Impact factor: 3.550

7.  A gene expression signature of acquired chemoresistance to cisplatin and fluorouracil combination chemotherapy in gastric cancer patients.

Authors:  Hark Kyun Kim; Il Ju Choi; Chan Gyoo Kim; Hee Sung Kim; Akira Oshima; Aleksandra Michalowski; Jeffrey E Green
Journal:  PLoS One       Date:  2011-02-18       Impact factor: 3.240

8.  A functional and transcriptomic analysis of NET1 bioactivity in gastric cancer.

Authors:  Gayle Bennett; Denise Sadlier; Peter P Doran; Padraic Macmathuna; David W Murray
Journal:  BMC Cancer       Date:  2011-02-01       Impact factor: 4.430

9.  Distinctions in gastric cancer gene expression signatures derived from laser capture microdissection versus histologic macrodissection.

Authors:  Hark Kyun Kim; Joseph Kim; Susie Korolevich; Il Ju Choi; Chang Hee Kim; David J Munroe; Jeffrey E Green
Journal:  BMC Med Genomics       Date:  2011-06-02       Impact factor: 3.063

10.  miRNA signature associated with outcome of gastric cancer patients following chemotherapy.

Authors:  Chang Hee Kim; Hark K Kim; R Luke Rettig; Joseph Kim; Eunbyul T Lee; Olga Aprelikova; Il J Choi; David J Munroe; Jeffrey E Green
Journal:  BMC Med Genomics       Date:  2011-11-23       Impact factor: 3.063

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