An orally available small-molecule inhibitor of c-Met, PF-2341066, reduces tumor burden and metastasis in a preclinical model of ovarian cancer metastasis

Marion Zillhardt, James G. Christensen, Ernst Lengyel

Research output: Contribution to journalArticlepeer-review

62 Scopus citations

Abstract

Deregulated expression of the hepatocyte growth factor (HGF) receptor, c-Met, in cancer contributes to tumor progression and metastasis. The objective of this study was to determine whether blocking c-Met with an orally available c-Met inhibitor, PF-2341066, reduces tumor burden and increases survival in a xenograft model of ovarian cancer metastasis. Treatment of mice injected interperitoneally with SKOV3ip1 cells showed reduced overall tumor burden. Tumor weight and the number of metastases were reduced by 55% (P < .0005) and 62% (P < .0001), respectively. Treatment also increased median survival from 45 to 62 days (P = .0003). In vitro, PF-2341066 reduced HGF-stimulated phosphorylation of c-Met in the tyrosine kinase domain as well as phosphorylation of the downstream signaling effectors, Akt and Erk. It was apparent that inhibition of the pathways was functionally important because HGF-induced branching morphogenesis was also inhibited. In addition, proliferation and adhesion to various extracellular matrices were inhibited by treatment with PF-2341066, and the activity of matrix metalloproteinases was decreased in tumor tissue from treated mice compared with those receiving vehicle. Overall, these data indicate that PF-2341066 effectively reduces tumor burden in an in vivo model of ovarian cancer metastasis and may be a good therapeutic candidate in the treatment of patients with ovarian cancer.

Original languageEnglish (US)
Pages (from-to)1-10
Number of pages10
JournalNeoplasia
Volume12
Issue number1
DOIs
StatePublished - Jan 2010

ASJC Scopus subject areas

  • Cancer Research

Fingerprint

Dive into the research topics of 'An orally available small-molecule inhibitor of c-Met, PF-2341066, reduces tumor burden and metastasis in a preclinical model of ovarian cancer metastasis'. Together they form a unique fingerprint.

Cite this