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Cited by 363

The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.

Tumor-Associated Macrophages: Implications in Cancer Immunotherapy

Open access
Petty, Amy J, Yang, Yiping·2017·Immunotherapy

Abstract

Tumor-associated macrophages (TAMs), representing most of the leukocyte population in solid tumors, demonstrate great phenotypic heterogeneity and diverse functional capabilities under the influence of the local tumor microenvironment. These anti-inflammatory and protumorigenic macrophages modulate the local microenvironment to facilitate tumor growth and metastasis. In this review, we examine the origin of TAMs and the complex regulatory networks within the tumor microenvironment that facilitate the polarization of TAMs toward a protumoral phenotype. More extensively, we evaluate the mechanisms by which TAMs mediate angiogenesis, metastasis, chemotherapeutic resistance and immune evasion. Lastly, we will highlight novel interventional strategies targeting TAMs in preclinical studies and in early clinical trials that have significant potential in improving efficacy of current chemotherapeutic and/or immunotherapeutic approaches.

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Crossref · 10.2217/imt-2016-0135

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Metadata

Authors
Petty, A. J., & Yang, Y.
Venue
Immunotherapy
Published
2017-02-24
Volume
9
Issue
3
Pages
289-302
ISSN
  • 1750-743X (ISSN-L)
  • 1750-7448
OpenAlex
W2590692536
Cited by
363
References
100
FWCI
9.31
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tumor-Associated Macrophages: Implications in Cancer Immunotherapy. https://app.cochat.ai/papers/10.2217/imt-2016-0135
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Petty, A. J., & Yang, Y. (2017). Tumor-Associated Macrophages: Implications in Cancer Immunotherapy. Immunotherapy. https://doi.org/10.2217/imt-2016-0135

Data sources

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.