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Cited by 351

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Antibody Pretargeting Advances Cancer Radioimmunodetection and Radioimmunotherapy

Goldenberg, David M., Sharkey, Robert M., Paganelli, Giovanni, Barbet, Jacques, Chatal, Jean-François·2006·Journal of Clinical Oncology

Abstract

This article reviews the methods of pretargeting, which involve separating the targeting antibody from the subsequent delivery of an imaging or therapeutic agent that binds to the tumor-localized antibody. This provides enhanced tumor:background ratios and the delivery of a higher therapeutic dose than when antibodies are directly conjugated with radionuclides, as currently practiced in cancer radioimmunotherapy. We describe initial promising clinical results using streptavidin-antibody constructs with biotin-radionuclide conjugates in the treatment of patients with malignant gliomas, and of bispecific antibodies with hapten-radionuclides in the therapy of tumors expressing carcinoembryonic antigen, such as medullary thyroid and small-cell lung cancers.

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Crossref · 10.1200/jco.2005.03.8471

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Metadata

Authors
Goldenberg, D. M., Sharkey, R. M., Paganelli, G., Barbet, J., & Chatal, J.-F.
Venue
Journal of Clinical Oncology
Published
2006-02-10
Volume
24
Issue
5
Pages
823-834
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2021396643
Cited by
351
References
65
FWCI
18.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Antibody Pretargeting Advances Cancer Radioimmunodetection and Radioimmunotherapy. https://app.cochat.ai/papers/10.1200/jco.2005.03.8471
The paper
Goldenberg, D. M., Sharkey, R. M., Paganelli, G., Barbet, J., & Chatal, J.-F. (2006). Antibody Pretargeting Advances Cancer Radioimmunodetection and Radioimmunotherapy. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2005.03.8471

Data sources

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.