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Gene Expression Signature and the Prediction of Ulcerative Colitis–Associated Colorectal Cancer by DNA Microarray

Purpose: Ulcerative colitis (UC) is associated with a high risk of colorectal cancer. To identify genes that could predict the development of cancer in UC, we conducted a DNA microarray analysis using nonneoplastic rectal mucosa of UC patients. Experimental Design: Gene expression in nonneoplastic m...

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Published in:Clinical cancer research 2007-01, Vol.13 (2), p.415-420
Main Authors: WATANABE, Toshiaki, KOBUNAI, Takashi, YOKOYAMA, Tadashi, KONISHI, Tsuyoshi, OKAYAMA, Yoshihiro, SUGIMOTO, Yoshikazu, OKA, Toshinori, SASAKI, Shin, AJIOKA, Yohichi, MUTO, Tetsuichiro, NAGAWA, Hirokazu, TODA, Etsuko, KANAZAWA, Takamitsu, KAZAMA, Yoshihiro, TANAKA, Junichiro, TANAKA, Toshiaki, YANIAMOTO, Yoko, HATA, Keisuke, KOJIMA, Tetsu
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cited_by cdi_FETCH-LOGICAL-c513t-5f3e4b36fb18ac79a7e77fb5a4906cbc92d2d19a13be2005df9764a474858afa3
cites cdi_FETCH-LOGICAL-c513t-5f3e4b36fb18ac79a7e77fb5a4906cbc92d2d19a13be2005df9764a474858afa3
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container_title Clinical cancer research
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creator WATANABE, Toshiaki
KOBUNAI, Takashi
YOKOYAMA, Tadashi
KONISHI, Tsuyoshi
OKAYAMA, Yoshihiro
SUGIMOTO, Yoshikazu
OKA, Toshinori
SASAKI, Shin
AJIOKA, Yohichi
MUTO, Tetsuichiro
NAGAWA, Hirokazu
TODA, Etsuko
KANAZAWA, Takamitsu
KAZAMA, Yoshihiro
TANAKA, Junichiro
TANAKA, Toshiaki
YANIAMOTO, Yoko
HATA, Keisuke
KOJIMA, Tetsu
description Purpose: Ulcerative colitis (UC) is associated with a high risk of colorectal cancer. To identify genes that could predict the development of cancer in UC, we conducted a DNA microarray analysis using nonneoplastic rectal mucosa of UC patients. Experimental Design: Gene expression in nonneoplastic mucosa of 53 UC patients were examined. Gene expression profiles were examined using human Genome U133 Plus 2.0 gene chip array (Affymetrix). Among 53 UC patients, 10 had UC-associated cancer (UC-Ca group) whereas 43 did not (UC-NonCa group). Results: By comparing gene expression profiles of nonneoplastic rectal mucosae between the UC-Ca and UC-NonCa groups, we could identify 40 genes that were differentially expressed between two groups. The list of discriminating genes included low-density lipoprotein receptor–related protein ( LRP5 and LRP6 ). Previous studies suggested that LRP5 and LRP6 expression promotes cancer cell proliferation and tumorigenesis and are considered as candidate oncogenes. In the present study, both LRP5 and LRP6 showed significantly higher expression in the UC-Ca group, which suggests the importance of these genes in the development of UC-associated colorectal cancers. With the 40 selected discriminating genes, we did class prediction of the development of colorectal neoplasms in UC patients. Using the k -nearest neighbor method and the support vector machine, we could predict the development of UC-associated neoplasms with an accuracy of 86.8% and 98.1%, respectively. Conclusions: These findings have important implications for the early detection of malignant lesions in UC and may provide directions for future research into the molecular mechanisms of UC-associated cancer.
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To identify genes that could predict the development of cancer in UC, we conducted a DNA microarray analysis using nonneoplastic rectal mucosa of UC patients. Experimental Design: Gene expression in nonneoplastic mucosa of 53 UC patients were examined. Gene expression profiles were examined using human Genome U133 Plus 2.0 gene chip array (Affymetrix). Among 53 UC patients, 10 had UC-associated cancer (UC-Ca group) whereas 43 did not (UC-NonCa group). Results: By comparing gene expression profiles of nonneoplastic rectal mucosae between the UC-Ca and UC-NonCa groups, we could identify 40 genes that were differentially expressed between two groups. The list of discriminating genes included low-density lipoprotein receptor–related protein ( LRP5 and LRP6 ). Previous studies suggested that LRP5 and LRP6 expression promotes cancer cell proliferation and tumorigenesis and are considered as candidate oncogenes. In the present study, both LRP5 and LRP6 showed significantly higher expression in the UC-Ca group, which suggests the importance of these genes in the development of UC-associated colorectal cancers. With the 40 selected discriminating genes, we did class prediction of the development of colorectal neoplasms in UC patients. Using the k -nearest neighbor method and the support vector machine, we could predict the development of UC-associated neoplasms with an accuracy of 86.8% and 98.1%, respectively. 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Abdomen ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genome, Human ; Humans ; Intestinal Mucosa - pathology ; Medical sciences ; Microarray ; Oligonucleotide Array Sequence Analysis - methods ; Other diseases. Semiology ; Pharmacology. Drug treatments ; Prediction ; Reproducibility of Results ; Risk ; Stomach. Duodenum. Small intestine. Colon. Rectum. 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To identify genes that could predict the development of cancer in UC, we conducted a DNA microarray analysis using nonneoplastic rectal mucosa of UC patients. Experimental Design: Gene expression in nonneoplastic mucosa of 53 UC patients were examined. Gene expression profiles were examined using human Genome U133 Plus 2.0 gene chip array (Affymetrix). Among 53 UC patients, 10 had UC-associated cancer (UC-Ca group) whereas 43 did not (UC-NonCa group). Results: By comparing gene expression profiles of nonneoplastic rectal mucosae between the UC-Ca and UC-NonCa groups, we could identify 40 genes that were differentially expressed between two groups. The list of discriminating genes included low-density lipoprotein receptor–related protein ( LRP5 and LRP6 ). Previous studies suggested that LRP5 and LRP6 expression promotes cancer cell proliferation and tumorigenesis and are considered as candidate oncogenes. In the present study, both LRP5 and LRP6 showed significantly higher expression in the UC-Ca group, which suggests the importance of these genes in the development of UC-associated colorectal cancers. With the 40 selected discriminating genes, we did class prediction of the development of colorectal neoplasms in UC patients. Using the k -nearest neighbor method and the support vector machine, we could predict the development of UC-associated neoplasms with an accuracy of 86.8% and 98.1%, respectively. Conclusions: These findings have important implications for the early detection of malignant lesions in UC and may provide directions for future research into the molecular mechanisms of UC-associated cancer.</abstract><cop>Philadelphia, PA</cop><pub>American Association for Cancer Research</pub><pmid>17255260</pmid><doi>10.1158/1078-0432.CCR-06-0753</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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source Freely Accessible Science Journals - check A-Z of ejournals
subjects Antineoplastic agents
Biological and medical sciences
Colitis, Ulcerative - complications
Colorectal cancer
Colorectal Neoplasms - etiology
Colorectal Neoplasms - genetics
Colorectal Neoplasms - pathology
Dysplasia
Gastroenterology. Liver. Pancreas. Abdomen
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Genome, Human
Humans
Intestinal Mucosa - pathology
Medical sciences
Microarray
Oligonucleotide Array Sequence Analysis - methods
Other diseases. Semiology
Pharmacology. Drug treatments
Prediction
Reproducibility of Results
Risk
Stomach. Duodenum. Small intestine. Colon. Rectum. Anus
Treatment Outcome
Tumors
Ulcerative colitis
title Gene Expression Signature and the Prediction of Ulcerative Colitis–Associated Colorectal Cancer by DNA Microarray
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