| Issue |
BIO Web Conf.
Volume 240, 2026
The 2026 International Conference on Biomedicine, Neuroscience and Biostatistics (ICBNB 2026)
|
|
|---|---|---|
| Article Number | 01002 | |
| Number of page(s) | 5 | |
| Section | Biomedicine, Neuroscience and Biostatistics | |
| DOI | https://doi.org/10.1051/bioconf/202624001002 | |
| Published online | 24 June 2026 | |
Strategy for Constructing Prodrug-Type Bispecific Antibodies Activated by Matrix Metalloproteinases
School of Pharmacy, Hebei Medical University, 050000, Shijiazhuang, Hebei, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Given the high specific expression of matrix metalloproteinases in the solid tumor microenvironment, they serve as an ideal endogenous triggering mechanism for the tumor-selective activation of antibody drugs This paper systematically summarizes the construction strategies of pro-drug bispecific antibodies (Pro-BsAb) based on the MMP activation mechanism, with a focus on their molecular design paradigms and therapeutic progress in preclinical solid tumor models The results indicate that Pro-BsAb restores antibody function through tumor microenvironment-specific cleavage, significantly enhancing tumor enrichment and reducing systemic toxicity. Among these, linker optimization, masking peptide screening, and bispecific antibody configuration selection are core factors affecting therapeutic efficacy. Currently, some candidate molecules have demonstrated good control rates in models such as breast cancer and colorectal cancer. This strategy possesses unique advantages in expanding the therapeutic window, overcoming drug resistance, and combining immunotherapy. Future research should focus on optimizing the in vivo stability of linkers and exploring the synergistic mechanisms of combination therapies to facilitate their clinical translation.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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