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Clinical Omics Analysis of Colorectal Cancer Incorporating Copy Number Aberrations and Gene Expression Data
Author(s) -
Tsuyoshi Yoshida,
T Kobayashi,
Masaya Itoda,
Taika Muto,
Ken Miyaguchi,
Kaoru Mogushi,
Satoshi Shoji,
Kazuro Shimokawa,
Satoru Iida,
Hiroyuki Uetake,
Toshiaki Ishikawa,
Kenichi Sugihara,
Hiroshi Mizushima,
Hiroshi Tanaka
Publication year - 2010
Publication title -
cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.606
H-Index - 31
ISSN - 1176-9351
DOI - 10.4137/cin.s3851
Subject(s) - colorectal cancer , copy number variation , gene , cancer , gene expression , computational biology , bioinformatics , gene expression profiling , omics , biology , genetics , genome
Colorectal cancer (CRC) is one of the most frequently occurring cancers in Japan, and thus a wide range of methods have been deployed to study the molecular mechanisms of CRC. In this study, we performed a comprehensive analysis of CRC, incorporating copy number aberration (CRC) and gene expression data. For the last four years, we have been collecting data from CRC cases and organizing the information as an "omics" study by integrating many kinds of analysis into a single comprehensive investigation. In our previous studies, we had experienced difficulty in finding genes related to CRC, as we observed higher noise levels in the expression data than in the data for other cancers. Because chromosomal aberrations are often observed in CRC, here, we have performed a combination of CNA analysis and expression analysis in order to identify some new genes responsible for CRC. This study was performed as part of the Clinical Omics Database Project at Tokyo Medical and Dental University. The purpose of this study was to investigate the mechanism of genetic instability in CRC by this combination of expression analysis and CNA, and to establish a new method for the diagnosis and treatment of CRC.

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