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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Cancer Immunology, I...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Cancer Immunology, Immunotherapy
Article . 2002 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Anti-ErbB-2 monoclonal antibodies and ErbB-2-directed vaccines

Authors: Yip, Yum L.; Ward, Robyn L.;

Anti-ErbB-2 monoclonal antibodies and ErbB-2-directed vaccines

Abstract

The tumour antigen ErbB-2 belongs to the epidermal growth factor receptor family. Numerous studies have shown that ErbB-2 is overexpressed in many cancers and it is prognostically important in a subset of malignancies. It is well recognised that this receptor has many characteristics that make it an excellent target for tumour-specific immunotherapy. One anti-ErbB-2 monoclonal antibody, Herceptin or TrastuzuMab, has already shown clinical efficacy for the treatment of metastatic breast cancer. However, despite this success, it is still currently unclear how monoclonal antibodies inhibit tumour growth in vivo. This review will summarise the biological activities of a range of anti-ErbB-2 Mabs, as well as their possible mechanisms of action. In addition, as an active mode of immunotherapy, the current vaccine strategies for inducing or enhancing ErbB-2-specific immunity will also be discussed. It is anticipated that a better understanding of the activities of anti-ErbB-2 Mabs will aid in the development of both passive and active immunotherapies against this important receptor.

Keywords

Clinical Trials as Topic, Antibodies, Neoplasm, Receptor, ErbB-2, Antibodies, Monoclonal, Immune responses, Cancer Vaccines, ErbB-2, Neoplasms, 616, Animals, Humans, Immunotherapy, Anti-ErbB-2 monoclonal antibodies, Vaccine, Signal Transduction

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    67
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
67
Average
Top 10%
Top 1%
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