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Cited by 209

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

Advances in Immuno–Positron Emission Tomography: Antibodies for Molecular Imaging in Oncology

Open access
Knowles, Scott M., Wu, Anna M.·2012·Journal of Clinical Oncology

Abstract

Identification of cancer cell–surface biomarkers and advances in antibody engineering have led to a sharp increase in the development of therapeutic antibodies. These same advances have led to a new generation of radiolabeled antibodies and antibody fragments that can be used as cancer-specific imaging agents, allowing quantitative imaging of cell-surface protein expression in vivo. Immuno–positron emission tomography (immunoPET) imaging with intact antibodies has shown success clinically in diagnosing and staging cancer. Engineered antibody fragments, such as diabodies, minibodies, and single-chain Fv (scFv) –Fc, have been successfully employed for immunoPET imaging of cancer cell–surface biomarkers in preclinical models and are poised to bring same-day imaging into clinical development. ImmunoPET can potentially provide a noninvasive approach for obtaining target-specific information useful for titrating doses for radioimmunotherapy, for patient risk stratification and selection of targeted therapies, for evaluating response to therapy, and for predicting adverse effects, thus contributing to the ongoing development of personalized cancer treatment.

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Metadata

Authors
Knowles, S. M., & Wu, A. M.
Venue
Journal of Clinical Oncology
Published
2012-11-01
Volume
30
Issue
31
Pages
3884-3892
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2168506617
Cited by
209
References
5
FWCI
13.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Advances in Immuno–Positron Emission Tomography: Antibodies for Molecular Imaging in Oncology. https://app.cochat.ai/papers/10.1200/jco.2012.42.4887
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Knowles, S. M., & Wu, A. M. (2012). Advances in Immuno–Positron Emission Tomography: Antibodies for Molecular Imaging in Oncology. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2012.42.4887

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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.