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Cited by 769

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Progress in developing cationic vectors for non-viral systemic gene therapy against cancer

Morille, Marie, Passirani, Catherine, Vonarbourg, Arnaud, Clavreul, Anne, Benoit, Jean-Pierre·2008·Biomaterials

Abstract

Initially, gene therapy was viewed as an approach for treating hereditary diseases, but its potential role in the treatment of acquired diseases such as cancer is now widely recognized. The understanding of the molecular mechanisms involved in cancer and the development of nucleic acid delivery systems are two concepts that have led to this development. Systemic gene delivery systems are needed for therapeutic application to cells inaccessible by percutaneous injection and for multi-located tumor sites, i.e. metastases. Non-viral vectors based on the use of cationic lipids or polymers appear to have promising potential, given the problems of safety encountered with viral vectors. Using these non-viral vectors, the current challenge is to obtain a similarly effective transfection to viral ones. Based on the advantages and disadvantages of existing vectors and on the hurdles encountered with these carriers, the aim of this review is to describe the "perfect vector" for systemic gene therapy against cancer.

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Metadata

Authors
Morille, M., Passirani, C., Vonarbourg, A., Clavreul, A., & Benoit, J.-P.
Venue
Biomaterials
Publisher
Elsevier BV
Published
2008-08
Volume
29
Issue
24-25
Pages
3477-3496
ISSN
0142-9612 (ISSN-L)
OpenAlex
W2084652077
Cited by
769
References
10
FWCI
21.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Progress in developing cationic vectors for non-viral systemic gene therapy against cancer. https://app.cochat.ai/papers/10.1016/j.biomaterials.2008.04.036
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Morille, M., Passirani, C., Vonarbourg, A., Clavreul, A., & Benoit, J.-P. (2008). Progress in developing cationic vectors for non-viral systemic gene therapy against cancer. Biomaterials. https://doi.org/10.1016/j.biomaterials.2008.04.036

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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.