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Cited by 512

The DOI matches its Crossref record; 199 of the 199 references it cites were found in a registry or an index.

Evaluation of the use of therapeutic peptides for cancer treatment

Open access
Marqus, Susan, Pirogova, Elena, Piva, Terrence J.·2017·Journal of Biomedical Science

Abstract

Cancer along with cardiovascular disease are the main causes of death in the industrialised countries around the World. Conventional cancer treatments are losing their therapeutic uses due to drug resistance, lack of tumour selectivity and solubility and as such there is a need to develop new therapeutic agents. Therapeutic peptides are a promising and a novel approach to treat many diseases including cancer. They have several advantages over proteins or antibodies: as they are (a) easy to synthesise, (b) have a high target specificity and selectivity and (c) have low toxicity. Therapeutic peptides do have some significant drawbacks related to their stability and short half-life. In this review, strategies used to overcome peptide limitations and to enhance their therapeutic effect will be compared. The use of short cell permeable peptides that interfere and inhibit protein-protein interactions will also be evaluated.

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Crossref · 10.1186/s12929-017-0328-x

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Metadata

Authors
Marqus, S., Pirogova, E., & Piva, T. J.
Venue
Journal of Biomedical Science
Published
2017-03-21
Volume
24
Issue
1
Pages
21-21
ISSN
  • 1021-7770 (ISSN-L)
  • 1423-0127
OpenAlex
W2598922467
Cited by
512
References
199
FWCI
13.98
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Evaluation of the use of therapeutic peptides for cancer treatment. https://app.cochat.ai/papers/10.1186/s12929-017-0328-x
The paper
Marqus, S., Pirogova, E., & Piva, T. J. (2017). Evaluation of the use of therapeutic peptides for cancer treatment. Journal of Biomedical Science. https://doi.org/10.1186/s12929-017-0328-x

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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.