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Cited by 1,425

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Tumor-associated macrophages (TAM) as major players of the cancer-related inflammation

Solinas, G, Germano, G, Mantovani, A, Allavena, P·2009·Journal of Leukocyte Biology

Abstract

TAM and other myeloid-derived tumor infiltrating cells are reviewed as pivotal players in the tumor microenvironment; implications to anti-cancer therapy are described. The microenvironment of solid tumors is characterized by a reactive stroma with an abundance of inflammatory mediators and leukocytes, dysregulated vessels and proteolytic enzymes. TAM, major players in the connection between inflammation and cancer, summarize a number of functions (e.g., promotion of tumor cell proliferation and angiogenesis, incessant matrix turnover, repression of adaptive immunity), which ultimately have an important impact on disease progression. Thus, together with other myeloid-related cells present at the tumor site (Tie2 macrophages and MDSCs), TAM represent an attractive target of novel biological therapies of tumors.

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Metadata

Authors
Solinas, G., Germano, G., Mantovani, A., & Allavena, P.
Venue
Journal of Leukocyte Biology
Published
2009-09-09
Volume
86
Issue
5
Pages
1065-1073
ISSN
  • 0741-5400 (ISSN-L)
  • 1938-3673
OpenAlex
W2136166312
Cited by
1,425
References
30
FWCI
21.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tumor-associated macrophages (TAM) as major players of the cancer-related inflammation. https://app.cochat.ai/papers/10.1189/jlb.0609385
The paper
Solinas, G., Germano, G., Mantovani, A., & Allavena, P. (2009). Tumor-associated macrophages (TAM) as major players of the cancer-related inflammation. Journal of Leukocyte Biology. https://doi.org/10.1189/jlb.0609385

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.