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Cited by 333

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

Radiolabeled Peptides: Valuable Tools for the Detection and Treatment of Cancer

Open access
Fani, M., Maecke, H. R., Okarvi, S. M.·2012·Theranostics

Abstract

Human cancer cells overexpress many peptide receptors as molecular targets. Radiolabeled peptides that bind with high affinity and specificity to the receptors on tumor cells hold great potential for both diagnostic imaging and targeted radionuclide therapy. The advantage of solid-phase peptide synthesis, the availability of different chelating agents and prosthetic groups and bioconjugation techniques permit the facile preparation of a wide variety of peptide-based targeting molecules with diverse biological and tumor targeting properties. Some of these peptides, including somatostatin, bombesin, vasoactive intestinal peptide, gastrin, neurotensin, exendin and RGD are currently under investigation. It is anticipated that in the near future many of these peptides may find applications in nuclear oncology. This article presents recent developments in the field of small peptides, and their applications in the diagnosis and treatment of cancer.

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Metadata

Authors
Fani, M., Maecke, H. R., & Okarvi, S. M.
Venue
Theranostics
Published
2012
Volume
2
Issue
5
Pages
481-501
ISSN
1838-7640 (ISSN-L)
OpenAlex
W2117662997
Cited by
333
References
2
FWCI
16.69
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Radiolabeled Peptides: Valuable Tools for the Detection and Treatment of Cancer. https://app.cochat.ai/papers/10.7150/thno.4024
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Fani, M., Maecke, H. R., & Okarvi, S. M. (2012). Radiolabeled Peptides: Valuable Tools for the Detection and Treatment of Cancer. Theranostics. https://doi.org/10.7150/thno.4024

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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.