Lysyl Oxidase: From Basic Science to Future Cancer Treatment

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Author(s)

    • Nishioka Takeshi
    • Department of Biomedical Sciences and Engineering, Faculty of Health Sciences, Hokkaido University
    • Eustace Amanda
    • Translational Radiobiology, School of Cancer and Enabling Sciences, University of Manchester, Christie Hospital NHS Trust, Manchester Academic Health Science Centre
    • West Catharine
    • Translational Radiobiology, School of Cancer and Enabling Sciences, University of Manchester, Christie Hospital NHS Trust, Manchester Academic Health Science Centre

Abstract

In this mini-review, we discuss the physiological and pathological roles of lysyl oxidase (LOX) and its family, LOX-like proteins (LOXL), in relation to prognosis of major cancers. The number of reports on LOX family is numerous. We have decided to review the articles that were recently published (i.e. past 5 years). Experimental techniques in molecular biology have advanced surprisingly in the past decade. Accordingly, the results of the studies are more reliable. Most studies reached the same conclusion; a higher LOX- or LOXL- expression is associated with a poor prognosis. Molecular experiments have already started aiming for clinical application, and the results are encouraging. Suppressing LOX or LOXL activities resulted in lower cell motility in collagen gel and, moreover, succeeded in reducing metastases in mice. LOX family members were originally recognized as molecules that cross-link collagen fibers in the extracellular matrix. Recent studies demonstrated that they are also involved in a phenomenon called Epithelial Mesenchymal Transition (EMT). This may affect cell movement and cancer cell invasiveness. LOX and LOXL2 are regulated by hypoxia, a major factor in the failure of cancer treatment. Here we discuss the molecular biology of the LOX family in relation to its role in tumor biology.<br>

Journal

  • Cell Structure and Function

    Cell Structure and Function 37(1), 75-80, 2012

    Japan Society for Cell Biology

Codes

  • NII Article ID (NAID)
    130004137579
  • Text Lang
    ENG
  • ISSN
    0386-7196
  • Data Source
    J-STAGE 
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