Rational and combinatorial approaches to engineering a multi-epitopic antagonist of the urokinase receptor
Abstract/Contents
- Abstract
- The urokinase receptor (uPAR) has been established as a key driver of cancer metastasis, and an attractive target for therapeutic intervention of disease progression. Various uPAR antagonists have been developed and tested in pre-clinical models of cancer. However, they demonstrated limited efficacy due to their relatively low binding affinity and partial inhibition of uPAR function. To address these limitations, we applied rational and combinatorial engineering methods to generate a high-affinity antagonist capable of simultaneously inhibiting multiple cancer-promoting functions of uPAR. The resulting protein demonstrates potent inhibition of uPA-uPAR binding, as well as enhanced tumor targeting in vivo as proof of concept for further therapeutic development and testing.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2018; ©2018 |
| Publication date | 2018; 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Cherf, Gerald Maxwell |
|---|---|
| Degree supervisor | Cochran, Jennifer R |
| Thesis advisor | Cochran, Jennifer R |
| Thesis advisor | Giaccia, Amato J |
| Thesis advisor | Heilshorn, Sarah |
| Degree committee member | Giaccia, Amato J |
| Degree committee member | Heilshorn, Sarah |
| Associated with | Stanford University, Department of Bioengineering. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Gerald Maxwell Cherf. |
|---|---|
| Note | Submitted to the Department of Bioengineering. |
| Thesis | Thesis Ph.D. Stanford University 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Gerald Maxwell Cherf
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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