Article ; Online: Click Chemistry-Generated Auristatin F-Linker-Benzylguanine for a SNAP-Tag-Based Recombinant Antibody-Drug Conjugate Demonstrating Selective Cytotoxicity toward EGFR-Overexpressing Tumor Cells.
ACS omega
2023 Volume 8, Issue 4, Page(s) 4026–4037
Abstract: Antibody-drug conjugates (ADCs) are bifunctional molecules combining the targeting potential of monoclonal antibodies with the cancer-killing ability of cytotoxic drugs. This simple yet intelligently designed system directly addresses the lack of ... ...
| Abstract | Antibody-drug conjugates (ADCs) are bifunctional molecules combining the targeting potential of monoclonal antibodies with the cancer-killing ability of cytotoxic drugs. This simple yet intelligently designed system directly addresses the lack of specificity encountered with conventional anti-cancer treatment regimes. However, despite their initial success, the generation of clinically sustainable and effective ADCs has been plagued by poor tumor penetration, undefined chemical linkages, unpredictable pharmacokinetic profiles, and heterogeneous mixtures of products. To this end, we generated a SNAP-tag-based fusion protein targeting the epidermal growth factor receptor (EGFR)-a biomarker of aggressive and drug-resistant cancers. Here, we demonstrate the use of a novel click coupling strategy to engineer a benzylguanine (BG)-linker-auristatin F (AuriF) piece that can be covalently tethered to the EGFR-targeting SNAP-tag-based fusion protein in an irreversible 1:1 stoichiometric reaction to form a homogeneous product. Furthermore, using these recombinant ADCs to target EGFR-overexpressing tumor cells, we provide a proof-of-principle for generating biologically active antimitotic therapeutic proteins capable of inducing cell death in a dose-dependent manner, thus alleviating some of the challenges of early ADC development. |
|---|---|
| Language | English |
| Publishing date | 2023-01-17 |
| Publishing country | United States |
| Document type | Journal Article |
| ISSN | 2470-1343 |
| ISSN (online) | 2470-1343 |
| DOI | 10.1021/acsomega.2c06844 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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