Literature DB >> 12631590

Identification and validation of genes involved in the pathogenesis of colorectal cancer using cDNA microarrays and RNA interference.

Noelle Sevilir Williams1, Richard B Gaynor, Shane Scoggin, Udit Verma, Tunc Gokaslan, Clifford Simmang, Jason Fleming, Denise Tavana, Eugene Frenkel, Carlos Becerra.   

Abstract

PURPOSE: The purpose of this study was to profile gene expression changes in colorectal tumors to identify new targets and strategies for the management of this disease. EXPERIMENTAL
DESIGN: cDNA microarray analysis was used to detect differences in gene expression between normal tissue and colon tumors and polyps isolated from 20 patients. To identify genes that are important in regulating the growth properties of colorectal cancer, RNA interference (RNAi) was used to disrupt expression of several of the overexpressed genes in a colon tumor cell line, HCT116, which showed similar patterns of gene expression as many of the patient tumors.
RESULTS: Expression changes of > or =2-fold in approximately one-third of the patients were consistently observed for 2632 of a total of 9592 genes (574 up-regulated genes and 2058 down-regulated genes). Subsequent analysis of 13 genes by quantitative real-time PCR confirmed the reliability of this analysis. RNAi-mediated disruption of the expression of one of these genes, survivin, a potent inhibitor of apoptosis, severely reduced tumor growth both in vitro and in an in vivo xenograft model.
CONCLUSIONS: The combined use of microarray analysis and RNAi provides an excellent system to define the role of specific genes that are up-regulated in cancer lead to the increased in vitro and in vivo growth of colon tumors.

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Year:  2003        PMID: 12631590

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  47 in total

1.  siRNA targeting Livin decreases tumor in a xenograft model for colon cancer.

Authors:  Bo-Young Oh; Ryung-Ah Lee; Kwang Ho Kim
Journal:  World J Gastroenterol       Date:  2011-05-28       Impact factor: 5.742

2.  Retromer disruption promotes amyloidogenic APP processing.

Authors:  Christopher P Sullivan; Anthony G Jay; Edward C Stack; Maria Pakaluk; Erin Wadlinger; Richard E Fine; John M Wells; Peter J Morin
Journal:  Neurobiol Dis       Date:  2011-04-16       Impact factor: 5.996

Review 3.  An integrated strategy for the optimization of microarray data interpretation.

Authors:  Xinmin Li; Richard J Quigg
Journal:  Gene Expr       Date:  2005

4.  Common denominator genes that distinguish colorectal carcinoma from normal mucosa.

Authors:  Roland S Croner; Thomas Foertsch; Wolfgang M Brueckl; Klaus Guenther; Renate Siebenhaar; Christian Stremmel; Klaus E Matzel; Thomas Papadopoulos; Thomas Kirchner; Jürgen Behrens; Ludger Klein-Hitpass; Michael Stuerzl; Werner Hohenberger; Bertram Reingruber
Journal:  Int J Colorectal Dis       Date:  2004-12-22       Impact factor: 2.571

5.  The methodology used to measure differential gene expression affects the outcome.

Authors:  Yongzeng Ding; Li Xu; Borko D Jovanovic; Irene B Helenowski; David L Kelly; William J Catalona; Ximing J Yang; Michael Pins; Raymond C Bergan
Journal:  J Biomol Tech       Date:  2007-12

Review 6.  Target validation to biomarker development: focus on RNA interference.

Authors:  Riccardo Colombo; Jürgen Moll
Journal:  Mol Diagn Ther       Date:  2008       Impact factor: 4.074

7.  MDM2: a novel mineralocorticoid-responsive gene involved in aldosterone-induced human vascular structural remodeling.

Authors:  Yasuhiro Nakamura; Saya Suzuki; Takashi Suzuki; Katsuhiko Ono; Ikumi Miura; Fumitoshi Satoh; Takuya Moriya; Haruo Saito; Shogo Yamada; Sadayoshi Ito; Hironobu Sasano
Journal:  Am J Pathol       Date:  2006-08       Impact factor: 4.307

Review 8.  Novel translational strategies in colorectal cancer research.

Authors:  Ignacio Gil-Bazo
Journal:  World J Gastroenterol       Date:  2007-11-28       Impact factor: 5.742

9.  Expression of survivin and its four splice variants in colorectal cancer and its clinical significances.

Authors:  Quan-Xing Ge; Yu-Yuan Li; Yu-Qiang Nie; Wen-Ge Zuo; Yan-Lei Du
Journal:  Med Oncol       Date:  2013-03-15       Impact factor: 3.064

10.  Characterization of global microRNA expression reveals oncogenic potential of miR-145 in metastatic colorectal cancer.

Authors:  Greg M Arndt; Lesley Dossey; Lara M Cullen; Angela Lai; Riki Druker; Michael Eisbacher; Chunyan Zhang; Nham Tran; Hongtao Fan; Kathy Retzlaff; Anton Bittner; Mitch Raponi
Journal:  BMC Cancer       Date:  2009-10-20       Impact factor: 4.430

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