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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Cutting Edge: Down-Regulation of MICA on Human Tumors by Proteolytic Shedding

Open access
Salih, Helmut R, Rammensee, Hans-Georg, Steinle, Alexander·2002·The Journal of Immunology

Abstract

The immunoreceptor NKG2D stimulates tumor immunity through activation of CD8 T cells and NK cells. Its ligand MICA has been shown to be broadly expressed on human tumors of epithelial origin. MICA expression correlates with an enrichment of Vδ1 T cells in tumor tissue. We report that human tumor cells spontaneously release a soluble form of MICA encompassing the three extracellular domains, which is present at high levels in sera of patients with gastrointestinal malignancies, but not in healthy donors. Release of MICA from tumor cells is blocked by inhibition of metalloproteinases, concomitantly causing accumulation of MICA on the cell surface. Shedding of MICA by tumor cells may modulate NKG2D-mediated tumor immune surveillance. In addition, determination of soluble MICA levels may be implemented as an immunological diagnostic marker in patients with epithelial malignancies.

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Crossref · 10.4049/jimmunol.169.8.4098

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Metadata

Authors
Salih, H. R., Rammensee, H.-G., & Steinle, A.
Venue
The Journal of Immunology
Published
2002-10
Volume
169
Issue
8
Pages
4098-4102
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W2166970460
Cited by
643
References
2
FWCI
6.25
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Cutting Edge: Down-Regulation of MICA on Human Tumors by Proteolytic Shedding. https://app.cochat.ai/papers/10.4049/jimmunol.169.8.4098
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Salih, H. R., Rammensee, H.-G., & Steinle, A. (2002). Cutting Edge: Down-Regulation of MICA on Human Tumors by Proteolytic Shedding. The Journal of Immunology. https://doi.org/10.4049/jimmunol.169.8.4098

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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.