Advertisement

The Chemokines pp 192-193 | Cite as

Effect of Monocyte Chemotactic Cytokine Gene Transfer on Macrophage Infiltration, Growth and Metastatic Behaviour of a Murine Melanoma

  • A. Bottazzi
  • S. Walter
  • D. Govoni
  • F. Colotta
  • A. Mantovani
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 351)

Abstract

Tumor-derived chemotactic factors have been identified and suggested to play a role in the regulation of macrophage infiltration in neoplastic tissues. Aim of this study was to investigate the in vivo relevance of a tumor-derived chemotactic factor molecularly identified as monocyte chemotactic protein (MCP) by gene transfer in a murine melanoma. MCP-producing melanoma clones showed a twofold increase in the percentage of tumor-associated macrophages (TAM) compared to control clones and to the parent line B78/HI. MCP-producing cells exhibited a slower growth rate in vivo with a prolongation of survival time while the in vitro growth rate of melanoma clones was unaffected by MCP gene transfer. Similar differences between MCP-producing and control cells, in terms of macrophage infiltration and growth rate, were detected after implantation in athymic mice. After inoculation of small cell numbers (100 cells/mouse), MCP-producing cells were slightly, but significantly, more tumorigenic. Finally the metastatic behaviour of MCP-producing and control clones was studied: after i.v. injection MCP-expressing cells were more metastatic than control cells in terms of lung involvement and of the occurrence of extrapulmonary lesions. These results demonstrate that a tumor-derived chemotactic cytokine can indeed play a role in the regulation of mononuclear phagocyte recruitment in neoplastic tissues.

Keywords

Peripheral Blood Mononuclear Cell Macrophage Infiltration Mononuclear Phagocyte Neoplastic Tissue Monocyte Chemotactic Protein 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media New York 1993

Authors and Affiliations

  • A. Bottazzi
    • 1
  • S. Walter
    • 1
  • D. Govoni
    • 1
  • F. Colotta
    • 1
  • A. Mantovani
    • 1
  1. 1.“Mario Negri” Institute for Pharmacological ResearchMilanItaly

Personalised recommendations