↓ Skip to main content

Nanomedicine and cancer immunotherapy – targeting immunosuppressive cells

Overview of attention for article published in Journal of Drug Targeting, October 2015
Altmetric Badge

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
71 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Nanomedicine and cancer immunotherapy – targeting immunosuppressive cells
Published in
Journal of Drug Targeting, October 2015
DOI 10.3109/1061186x.2015.1073295
Pubmed ID
Authors

Fernando Torres Andón, María José Alonso

Abstract

The search for pharmacological strategies to reach and impact on immunosuppressive cells is, currently, one of the most exciting areas in cancer immunology and clinical oncology. In this context, it is increasingly accepted that the success of these therapies will largely depend on the availability of appropriate drug delivery strategies. Considering the critical role that nanotechnology plays in the development of these novel therapies, the main goal of this article is to provide an overview of the potential of nanomedicines targeted to immunosuppressive cells for the treatment of cancer. We present, first, a brief description of classical cancer immunotherapies based on therapeutic vaccination and monoclonal antibodies, with a special focus on the use of nanotechnologies and the targeting of immunological checkpoints. Second, we provide a thoughtful analysis of the possibilities to target the immunosuppressive cells, namely tumour-associated macrophages, myeloid-derived suppressor cells, tumour-associated neutrophils and regulatory T cells, at the tissue level (i.e. tumour, spleen, blood, lymph) and, also, at the cellular level. Finally, we wrap the article with a disclosure of strategies used to impair the generation, kill or re-educate these immunosuppressive cells, thus providing an up-to-date picture of the choices available for therapeutic intervention.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 37%
Researcher 10 14%
Student > Bachelor 7 10%
Student > Master 6 8%
Student > Doctoral Student 4 6%
Other 9 13%
Unknown 9 13%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 15 21%
Medicine and Dentistry 9 13%
Biochemistry, Genetics and Molecular Biology 7 10%
Agricultural and Biological Sciences 6 8%
Chemistry 6 8%
Other 15 21%
Unknown 13 18%