Literature DB >> 15595645

Identification of differentially expressed genes involved in colorectal carcinogenesis using a cDNA microarray.

T Komori1, I Takemasa, H Higuchi, M Yamasaki, M Ikeda, H Yamamoto, M Ohue, S Nakamori, M Sekimoto, K Matsubara, M Monden.   

Abstract

To identify candidate genes involved in human colorectal carcinogenesis, we constructed the gene expression profiles of 50 colorectal cancers (CRCs) and 12 normal colorectal epithelia using a cDNA microarray specially constructed for CRC. Hierarchical clustering analysis and principal component analysis could clearly distinguish the gene profiles of cancer tissues from those of normal tissues. Our results confirm there are indeed differences in gene expression between cancer and normal mucosa. Our cDNA microarray identified 22 up-regulated genes and 32 down-regulated genes in CRC. Many of these genes have been previously identified in relation to human carcinogenesis, 68% and 78%, respectively. Subsequent validation of selected genes by serial analysis of gene expression and reverse transcription polymerase chain reaction, demonstrated expression patterns that were almost identical to our microarray analysis. Using a four-fold larger sample relative to that used in our previous study, candidate genes involved in human colorectal carcinogenesis were reproducibly identified. Further studies of comprehensive gene expression using our technique may elucidate the mechanism of CRC tumorigenesis.

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Year:  2004        PMID: 15595645

Source DB:  PubMed          Journal:  J Exp Clin Cancer Res        ISSN: 0392-9078


  6 in total

1.  Identification of the differential expressive tumor associated genes in rectal cancers by cDNA microarray.

Authors:  Xue-Qin Gao; Jin-Xiang Han; Zhong-Fa Xu; Wei-Dong Zhang; Hua-Ning Zhang; Hai-Yan Huang
Journal:  World J Gastroenterol       Date:  2007-01-21       Impact factor: 5.742

2.  Reduced levels of hydroxylated, polyunsaturated ultra long-chain fatty acids in the serum of colorectal cancer patients: implications for early screening and detection.

Authors:  Shawn A Ritchie; Pearson W K Ahiahonu; Dushmanthi Jayasinghe; Doug Heath; Jun Liu; Yingshen Lu; Wei Jin; Amir Kavianpour; Yasuyo Yamazaki; Amin M Khan; Mohammad Hossain; Khine Khine Su-Myat; Paul L Wood; Kevin Krenitsky; Ichiro Takemasa; Masakazu Miyake; Mitsugu Sekimoto; Morito Monden; Hisahiro Matsubara; Fumio Nomura; Dayan B Goodenowe
Journal:  BMC Med       Date:  2010-02-15       Impact factor: 8.775

3.  Gene expression profiles of primary colorectal carcinomas, liver metastases, and carcinomatoses.

Authors:  Kristine Kleivi; Guro E Lind; Chieu B Diep; Gunn I Meling; Lin T Brandal; Jahn M Nesland; Ola Myklebost; Torleiv O Rognum; Karl-Erik Giercksky; Rolf I Skotheim; Ragnhild A Lothe
Journal:  Mol Cancer       Date:  2007-01-03       Impact factor: 27.401

4.  Prediction of Possible Biomarkers and Novel Pathways Conferring Risk to Post-Traumatic Stress Disorder.

Authors:  Kumaraswamy Naidu Chitrala; Prakash Nagarkatti; Mitzi Nagarkatti
Journal:  PLoS One       Date:  2016-12-20       Impact factor: 3.240

5.  The role of glycosyltransferase enzyme GCNT3 in colon and ovarian cancer prognosis and chemoresistance.

Authors:  Lara P Fernández; Ruth Sánchez-Martínez; Teodoro Vargas; Jesús Herranz; Roberto Martín-Hernández; Marta Mendiola; David Hardisson; Guillermo Reglero; Jaime Feliu; Andrés Redondo; Ana Ramírez de Molina
Journal:  Sci Rep       Date:  2018-05-31       Impact factor: 4.379

6.  Structural Characterization of Mucin O-Glycosylation May Provide Important Information to Help Prevent Colorectal Tumor Recurrence.

Authors:  Adriana Mihalache; Jean-François Delplanque; Bélinda Ringot-Destrez; Cindy Wavelet; Pierre Gosset; Bertrand Nunes; Sophie Groux-Degroote; Renaud Léonard; Catherine Robbe-Masselot
Journal:  Front Oncol       Date:  2015-10-08       Impact factor: 6.244

  6 in total

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