Document Type

Article

Publication Date

2014

College/Unit

School of Pharmacy

Department/Program/Center

Pharmaceutical Sciences

Abstract

Background

Prostate cancer is the most-diagnosed non-skin cancer among males in the US, and the second leading cause of cancer-related death. Current methods of treatment and diagnosis are not specific for the disease. This work identified an antibody fragment that binds selectively to a molecule on the surface of androgen-dependent prostate cancer cells but not benign prostatic cells.

Results

Antibody fragment identification was achieved using a library screening and enrichment strategy. A library of 109 yeast-displayed human non-immune antibody fragments was enriched for those that bind to androgen-dependent prostate cancer cells, but not to benign prostatic cells or purified prostate-specific membrane antigen (PSMA). Seven rounds of panning and fluorescence-activated cell sorting (FACS) screening yielded one antibody fragment identified from the enriched library. This molecule, termed HiR7.8, has a low-nanomolar equilibrium dissociation constant (Kd) and high specificity for androgen-dependent prostate cancer cells.

Conclusions

Antibody fragment screening from a yeast-displayed library has yielded one molecule with high affinity and specificity. With further pre-clinical development, it is hoped that the antibody fragment identified using this screening strategy will be useful in the specific detection of prostate cancer and in targeted delivery of therapeutic agents for increased efficacy and reduced side effects.

Source Citation

Williams, R.M., Hajiran, C.J., Nayeem, S. et al. Identification of an antibody fragment specific for androgen-dependent prostate cancer cells. BMC Biotechnol 14, 81 (2014). https://doi.org/10.1186/1472-6750-14-81

Comments

© 2014 Williams et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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