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Cited by 336

The DOI matches its Crossref record; 184 of the 184 references it cites were found in a registry or an index.

The Role of the CXCL12/CXCR4/CXCR7 Chemokine Axis in Cancer

Open access
Shi, Yi, Riese, David J., Shen, Jianzhong·2020·Frontiers in Pharmacology

Abstract

Chemokines are a family of small, secreted cytokines which regulate a variety of cell functions. The C-X-C motif chemokine ligand 12 (CXCL12) binds to C-X-C chemokine receptor type 4 (CXCR4) and C-X-C chemokine receptor type 7 (CXCR7). The interaction of CXCL12 and its receptors subsequently induces downstream signaling pathways with broad effects on chemotaxis, cell proliferation, migration, and gene expression. Accumulating evidence suggests that the CXCL12/CXCR4/CXCR7 axis plays a pivotal role in tumor development, survival, angiogenesis, metastasis, and tumor microenvironment. In addition, this chemokine axis promotes chemoresistance in cancer therapy via complex crosstalk with other pathways. Multiple small molecules targeting CXCR4/CXCR7 have been developed and used for preclinical and clinical cancer treatment. In this review, we describe the roles of the CXCL12/CXCR4/CXCR7 axis in cancer progression and summarize strategies to develop novel targeted cancer therapies.

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Crossref · 10.3389/fphar.2020.574667

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Metadata

Authors
Shi, Y., Riese, D. J., & Shen, J.
Venue
Frontiers in Pharmacology
Published
2020-12-08
Volume
11
Pages
574667-574667
ISSN
1663-9812 (ISSN-L)
OpenAlex
W3111751350
Cited by
336
References
184
FWCI
11.79
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The Role of the CXCL12/CXCR4/CXCR7 Chemokine Axis in Cancer. https://app.cochat.ai/papers/10.3389/fphar.2020.574667
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Shi, Y., Riese, D. J., & Shen, J. (2020). The Role of the CXCL12/CXCR4/CXCR7 Chemokine Axis in Cancer. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2020.574667

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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.