Targeting Tumor-Associated Macrophages and Inhibition of MCP-1 Reduce Angiogenesis and Tumor Growth in a Human Melanoma Xenograft View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-08

AUTHORS

Silvina Gazzaniga, Alicia I Bravo, Angelo Guglielmotti, Nico van Rooijen, Fabricio Maschi, Annunciata Vecchi, Alberto Mantovani, José Mordoh, Rosa Wainstok

ABSTRACT

Chemokines such as monocyte chemoattractant protein (MCP)-1 are key agonists that attract macrophages to tumors. In melanoma, it has been previously shown that variable levels of MCP-1/CCL2 appear to correlate with infiltrating macrophages and tumor fate, with low to intermediate levels of the chemokine contributing to melanoma development. To work under such conditions, a poorly tumorigenic human melanoma cell line was transfected with an expression vector encoding MCP-1. We found that M2 macrophages are associated to MCP-1+ tumors, triggering a profuse vascular network. To target the protumoral macrophages recruitment and reverting tumor growth promotion, clodronate-laden liposomes (Clod-Lip) or bindarit were administered to melanoma-bearing mice. Macrophage depletion after Clod-Lip treatment induced development of smaller tumors than in untreated mice. Immunohistochemical analysis with an anti-CD31 antibody revealed scarce vascular structures mainly characterized by narrow vascular lights. Pharmacological inhibition of MCP-1 with bindarit also reduced tumor growth and macrophage recruitment, rendering necrotic tumor masses. We suggest that bindarit or Clod-Lip abrogates protumoral-associated macrophages in human melanoma xenografts and could be considered as complementary approaches to antiangiogenic therapy. More... »

PAGES

2031-2041

Journal

TITLE

Journal of Investigative Dermatology

ISSUE

8

VOLUME

127

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sj.jid.5700827

DOI

http://dx.doi.org/10.1038/sj.jid.5700827

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034737172

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17460736


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/sj.jid.5700827'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/sj.jid.5700827'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sj.jid.5700827'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sj.jid.5700827'


 

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