論文

査読有り
2011年2月

MicroRNAs as potential target gene in cancer gene therapy of gastrointestinal tumors

EXPERT OPINION ON BIOLOGICAL THERAPY
  • Hiroshi Tazawa
  • ,
  • Shunsuke Kagawa
  • ,
  • Toshiyoshi Fujiwara

11
2
開始ページ
145
終了ページ
155
記述言語
英語
掲載種別
DOI
10.1517/14712598.2011.542749
出版者・発行元
INFORMA HEALTHCARE

Introduction: MicroRNA (miRNA) is a small non-coding RNA, which negatively regulates the expression of many target genes, thereby contributing to the modulation of diverse cell fates. Recent advances in molecular biology have revealed the potential role of miRNAs in tumor initiation, progression and metastasis. Aberrant regulation of miRNAs has been frequently reported in a variety of cancers, including gastrointestinal tumors, suggesting that cancer-related miRNAs are promising as novel biomarkers for tumor diagnosis and are potential target genes for cancer gene therapy against gastrointestinal tumors.
Areas covered: The review focuses on the role of specific miRNAs (miR-192/194/215 and miR-7) in the differentiation of gastrointestinal epithelium and on the role of tumor-suppressive (miR-34, miR-143, miR-145) and oncogenic miRNAs (miR-21, miR-17-92 cluster) in gastrointestinal tumors. Furthermore, the potential role of miRNAs as novel biomarkers and target genes for cancer gene therapy against gastrointestinal tumors are discussed. We will also outline the potential clinical application of miRNAs for tumor diagnosis and cancer gene therapy against gastrointestinal tumors.
Expert opinion: Exploration of tumor-related miRNAs would provide important opportunities for the development of novel cancer gene therapies aimed at normalizing the critical miRNAs that are deregulated in gastrointestinal tumors.

リンク情報
DOI
https://doi.org/10.1517/14712598.2011.542749
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000287098800003&DestApp=WOS_CPL
ID情報
  • DOI : 10.1517/14712598.2011.542749
  • ISSN : 1471-2598
  • Web of Science ID : WOS:000287098800003

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