Malecki, M., Sabo, C. orcid.org/0000-0002-3946-4609, Foorohar, A. et al. (1 more author) (2016) Novel paradigm for immunotherapy of breast cancer by engaging prophylactic immunity against hepatitis B. Clinical and Translational Medicine, 5. 32. ISSN 2001-1326
Abstract
Background Immunotherapy of patients suffering from the human epidermal growth factor receptor 2 overexpressing (HER-2+) breast cancers with the anti-HER-2 antibodies results in increase of the patients’ overall survival. However, no prophylactic vaccine is available against HER-2+ breast cancers. Although, prophylactic vaccine for human hepatitis B virus (HBV) is very effective.
Specific aim The specific aim of this work was to design, synthesize, and test bio-molecules which would engage prophylactic immunity against hepatitis B virus towards killing breast cancers cells.
Methods and Results By biomolecular engineering, we have created a novel family of biomolecules: antibody (anti-HER-2) × vaccine (HBsAg) engineered constructs (AVEC: anti-HER-2 × HBsAg). These biomolecules were utilized for redirecting, accelerating, and amplifying of the vaccination-induced, prophylactic immunity originally targeted against HBV as therapeutic immunity, newly targeted against HER-2+ breast cancers. Treatment of the HER-2+ breast cancer cells with AVEC: anti-HER-2 × HBsAg in blood of the patients, vaccinated with HBsAg, rapidly increased efficacy of killing of HER-2+ breast cancer cells over that attained with the naked anti-HER-2 antibodies.
Conclusion Novel antibody-vaccine engineered constructs (AVEC) facilitate redirecting, accelerating, and amplifying of prophylactic, HBV vaccination-induced immunity as immunotherapy (RAAVIIT) of HER-2+ breast cancer. We currently streamline this novel therapeutic paradigm into clinical trials of breast and other cancers.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2016 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Sep 2016 12:15 |
Last Modified: | 16 Sep 2016 12:15 |
Published Version: | http://dx.doi.org/10.1186/s40169-016-0111-8 |
Status: | Published |
Publisher: | SpringerOpen |
Refereed: | Yes |
Identification Number: | 10.1186/s40169-016-0111-8 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:104770 |