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Cited by 319

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Cancer Cells Expressing Toll-like Receptors and the Tumor Microenvironment

Open access
Sato, Yusuke, Goto, Yasufumi, Narita, Norihiko, Hoon, Dave S.B.·2009·Cancer Microenvironment

Abstract

Toll-like receptors (TLRs) play a crucial role in the innate immune response and the subsequent induction of adaptive immune responses against microbial infection or tissue injury. Recent findings show that functional TLRs are expressed not only on immune cells but also on cancer cells. TLRs play an active role in carcinogenesis and tumor progression during chronic inflammation that involves the tumor microenvironment. Damage-associated molecular patterns (DAMPs) derived from injured normal epithelial cells and necrotic cancer cells appear to be present at significant levels in the tumor microenvironment, and their stimulation of specific TLRs can foster chronic inflammation. This review discusses how carcinogenesis, cancer progression, and site-specific metastasis are related to interactions between cancer cells, immune cells, and DAMPs through TLR activation in the tumor microenvironment.

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Metadata

Authors
Sato, Y., Goto, Y., Narita, N., & Hoon, D. S. B.
Venue
Cancer Microenvironment
Published
2009-08-15
Volume
2
Issue
S1
Pages
205-214
ISSN
  • 1875-2284 (ISSN-L)
  • 1875-2292
OpenAlex
W2061217549
Cited by
319
References
8
FWCI
4.33
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Cancer Cells Expressing Toll-like Receptors and the Tumor Microenvironment. https://app.cochat.ai/papers/10.1007/s12307-009-0022-y
The paper
Sato, Y., Goto, Y., Narita, N., & Hoon, D. S. B. (2009). Cancer Cells Expressing Toll-like Receptors and the Tumor Microenvironment. Cancer Microenvironment. https://doi.org/10.1007/s12307-009-0022-y

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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.