↓ Skip to main content

PLOS

Induction of Protective Anti-CTL Epitope Responses against HER-2-Positive Breast Cancer Based on Multivalent T7 Phage Nanoparticles

Overview of attention for article published in PLOS ONE, November 2012
Altmetric Badge

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
31 Mendeley
Title
Induction of Protective Anti-CTL Epitope Responses against HER-2-Positive Breast Cancer Based on Multivalent T7 Phage Nanoparticles
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049539
Pubmed ID
Authors

Somayeh Pouyanfard, Taravat Bamdad, Hamidreza Hashemi, Mojgan Bandehpour, Bahram Kazemi

Abstract

We report here the development of multivalent T7 bacteriophage nanoparticles displaying an immunodominant H-2k(d)-restricted CTL epitope derived from the rat HER2/neu oncoprotein. The immunotherapeutic potential of the chimeric T7 nanoparticles as anti-cancer vaccine was investigated in BALB/c mice in an implantable breast tumor model. The results showed that T7 phage nanoparticles confer a high immunogenicity to the HER-2-derived minimal CTL epitope, as shown by inducing robust CTL responses. Furthermore, the chimeric nanoparticles protected mice against HER-2-positive tumor challenge in both prophylactic and therapeutic setting. In conclusion, these results suggest that CTL epitope-carrying T7 phage nanoparticles might be a promising approach for development of T cell epitope-based cancer vaccines.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Ph. D. Student 4 13%
Student > Master 4 13%
Student > Doctoral Student 2 6%
Student > Postgraduate 2 6%
Other 4 13%
Unknown 9 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 19%
Medicine and Dentistry 5 16%
Biochemistry, Genetics and Molecular Biology 3 10%
Immunology and Microbiology 3 10%
Nursing and Health Professions 1 3%
Other 3 10%
Unknown 10 32%