Inhibition of APN/CD13 leads to suppressed progressive potential in ovarian carcinoma cells

Mikio Terauchi, Hiroaki Kajiyama, Kiyosumi Shibata, Kazuhiko Ino, Akihiro Nawa, Shigehiko Mizutani, Fumitaka Kikkawa

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59 Citations (Scopus)


Background: Aminopeptidase N (APN/CD13), a 150-kDa metalloprotease, is a multifunctional cell surface aminopeptidase with ubiquitous expression. Recent studies have suggested that APN/CD13 plays an important role in tumor progression of several human malignancies. In the current study, we investigated the role of APN/CD13 in ovarian carcinoma (OVCA) progression. Methods: We first examined the expression of APN/CD13 at the protein level in a variety of OVCA cell lines and tissues. We subsequently investigated whether there was a correlation between APN/CD13 expression and invasive potential of various OVCA cell lines. Moreover, we investigated the function of APN/CD13 in OVCA cells using bestatin, an APN/CD13 inhibitor, or transfection of siRNA for APN/CD13. Results: We confirmed that APN/CD13 was expressed in OVCA tissues and cell lines to various extents. There was a positive correlation between APN/CD13 expression and migratory potential in various OVCA cell lines with accordingly enhanced secretion of endogenous MMP-2. Subsequently, we found a significant decrease in the proliferative and migratory abilities of OVCA cells after the addition of bestatin or the inhibition of APN/CD13 expression by siRNA. Furthermore, in an animal model, daily intraperitoneal administration of bestatin after inoculation of OVCA cells resulted in a decrease of peritoneal dissemination and in prolonged survival of nude mice. Conclusion: The current data indicate the possible involvement of APN/ CD13 in the development of OVCA, and suggest that clinical use of bestatin may contribute to better prognosis for ovarian carcinoma patients.

Original languageEnglish
Article number140
JournalBMC Cancer
Publication statusPublished - 27-08-2007
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Genetics
  • Oncology
  • Cancer Research


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