Literature DB >> 19081199

Gene expression profiling in colorectal cancer using microarray technologies: results and perspectives.

Margherita Nannini1, Maria Abbondanza Pantaleo, Alessandra Maleddu, Annalisa Astolfi, Serena Formica, Guido Biasco.   

Abstract

Nowadays molecular biology represents one of the most interesting topics in medical oncology, because it provides a global and detailed view on the molecular changes involved in tumour progression, leading to a better understanding of the carcinogenesis process, to discovering new prognostic markers and novel therapeutic targets. The gene expression profiling analysis with microarray technology has shown a great potential in cancer research and in medical oncology, mapping simultaneously the expression of thousands of genes in a single tumour sample and giving a measurement of articulated genes expression patterns. Colorectal cancer represents a wide and exciting area of research for molecular biology, due to the growing need of a molecular classification as well as prognostic and predictive molecular factors that may guide oncologists in patient's clinical management. The aim of this review is to analyze the state of art of gene expression profile in colorectal cancer using microarrays technologies and to explore some perspectives in this research field.

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Year:  2008        PMID: 19081199     DOI: 10.1016/j.ctrv.2008.10.006

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  77 in total

1.  Verification of gene expression profiles for colorectal cancer using 12 internet public microarray datasets.

Authors:  Yu-Tien Chang; Chung-Tay Yao; Sui-Lung Su; Yu-Ching Chou; Chi-Ming Chu; Chi-Shuan Huang; Harn-Jing Terng; Hsiu-Ling Chou; Thomas Wetter; Kang-Hua Chen; Chi-Wen Chang; Yun-Wen Shih; Ching-Huang Lai
Journal:  World J Gastroenterol       Date:  2014-12-14       Impact factor: 5.742

2.  Gene expression profile of peripheral blood in colorectal cancer.

Authors:  Yu-Tien Chang; Chi-Shuan Huang; Chung-Tay Yao; Sui-Lung Su; Harn-Jing Terng; Hsiu-Ling Chou; Yu-Ching Chou; Kang-Hua Chen; Yun-Wen Shih; Chian-Yu Lu; Ching-Huang Lai; Chen-En Jian; Chiao-Huang Lin; Chien-Ting Chen; Yi-Syuan Wu; Ke-Shin Lin; Thomas Wetter; Chi-Wen Chang; Chi-Ming Chu
Journal:  World J Gastroenterol       Date:  2014-10-21       Impact factor: 5.742

3.  Gene expression in colon cancer: A focus on tumor site and molecular phenotype.

Authors:  Martha L Slattery; Daniel F Pellatt; Lila E Mullany; Roger K Wolff; Jennifer S Herrick
Journal:  Genes Chromosomes Cancer       Date:  2015-07-14       Impact factor: 5.006

4.  Hepatocellular carcinoma: consensus recommendations of the National Cancer Institute Clinical Trials Planning Meeting.

Authors:  Melanie B Thomas; Deborah Jaffe; Michael M Choti; Jacques Belghiti; Steven Curley; Yuman Fong; Gregory Gores; Robert Kerlan; Phillipe Merle; Bert O'Neil; Ronnie Poon; Lawrence Schwartz; Joel Tepper; Francis Yao; Daniel Haller; Margaret Mooney; Alan Venook
Journal:  J Clin Oncol       Date:  2010-08-02       Impact factor: 44.544

5.  Identification of putative immunologic targets for colon cancer prevention based on conserved gene upregulation from preinvasive to malignant lesions.

Authors:  Elizabeth K Broussard; Rachel Kim; Jesse C Wiley; Juan Pablo Marquez; James E Annis; David Pritchard; Mary L Disis
Journal:  Cancer Prev Res (Phila)       Date:  2013-05-16

6.  Identification of key pathways and genes in colorectal cancer using bioinformatics analysis.

Authors:  Bin Liang; Chunning Li; Jianying Zhao
Journal:  Med Oncol       Date:  2016-08-31       Impact factor: 3.064

Review 7.  Molecular profiling of colon tumors: the search for clinically relevant biomarkers of progression, prognosis, therapeutics, and predisposition.

Authors:  Manny D Bacolod; Francis Barany
Journal:  Ann Surg Oncol       Date:  2011-02-24       Impact factor: 5.344

8.  Exprtarget: an integrative approach to predicting human microRNA targets.

Authors:  Eric R Gamazon; Hae-Kyung Im; Shiwei Duan; Yves A Lussier; Nancy J Cox; M Eileen Dolan; Wei Zhang
Journal:  PLoS One       Date:  2010-10-21       Impact factor: 3.240

9.  Mass spectrometry protein expression profiles in colorectal cancer tissue associated with clinico-pathological features of disease.

Authors:  Christopher C L Liao; Nicholas Ward; Simon Marsh; Tan Arulampalam; John D Norton
Journal:  BMC Cancer       Date:  2010-08-06       Impact factor: 4.430

10.  miR-429 identified by dynamic transcriptome analysis is a new candidate biomarker for colorectal cancer prognosis.

Authors:  Yingnan Sun; Shourong Shen; Hailin Tang; Juanjuan Xiang; Ya Peng; Anliu Tang; Nan Li; Weiwei Zhou; Zeyou Wang; Decai Zhang; Bo Xiang; Jie Ge; Guiyuan Li; Minghua Wu; Xiayu Li
Journal:  OMICS       Date:  2013-11-16
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