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Cited by 403

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Inhibition of interleukin-8 reduces tumorigenesis of human non-small cell lung cancer in SCID mice.

Open access
Arenberg, D A, Kunkel, S L, Polverini, P J, Glass, M, Burdick, M D, Strieter, R M·1996·Journal of Clinical Investigation

Abstract

The salient feature of solid tumor growth is the strict dependence on local angiogenesis. We have previously demonstrated that IL-8 is an angiogenic factor present in freshly isolated specimens of human non-small cell lung cancer (NSCLC). Using a model of human NSCLC tumorigenesis in SCID mice, we now report that IL-8 acts as a promoter of human NSCLC tumor growth through its angiogenic properties. Passive immunization with neutralizing antibodies to IL-8 resulted in more than 40% reduction in tumor size and was associated with a decline in tumor-associated vascular density and angiogenic activity. IL-8 did not act as an autocrine growth factor for NSCLC proliferation. The reduction in primary tumor size in response to neutralizing antibodies to IL-8 was also accompanied by a trend toward a decrease in spontaneous metastasis to the lung. These data support the notion that IL-8 plays a significant role in mediating angiogenic activity during tumorigenesis of human NSCLC, thereby offering a potential target for immunotherapy against solid tumors.

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Crossref · 10.1172/jci118734

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Metadata

Authors
Arenberg, D. A., Kunkel, S. L., Polverini, P. J., Glass, M., Burdick, M. D., & Strieter, R. M.
Venue
Journal of Clinical Investigation
Published
1996-06-15
Volume
97
Issue
12
Pages
2792-2802
ISSN
0021-9738 (ISSN-L)
OpenAlex
W2056088187
Cited by
403
References
5
FWCI
6.80
Type
journal article
Language
en
Open access
bronze

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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.