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Published on: September 16, 2019
Antibody mutations favoring pH-dependent binding in solid tumor microenvironments: Insights from large-scale
Wanlei Wei1, Christopher R Corbeil1, Francis Gaudreault1
1Human Health Therapeutics Research Center, National Research Council Canada, Montreal, Quebec, Canada.
Researchers engineered anticancer antibodies for improved tumor targeting by incorporating pH-sensitive histidyl switches. This strategy enhances drug safety by selectively binding to cancer cells in acidic tumor environments, reducing off-tumor effects.
Area of Science:
- Biotechnology
- Immunology
- Oncology
Background:
- Antibody-based therapeutics are increasingly used for cancer treatment.
- Off-tumor effects and cytotoxicity remain significant safety concerns.
- Targeted delivery of antitumor drugs is crucial for improving efficacy and safety.
Purpose of the Study:
- To expand a previously developed pH-switch approach for antibody engineering.
- To identify specific mutations and positions for enhanced pH-dependent binding.
- To create a sequence-based method for engineering pH-selective anticancer antibodies.
Main Methods:
- Computational analysis of over 400 antibody structures complexed with over 100 oncoproteins.
- Identification of key amino acid residues (His, Trp, Arg, Tyr) for pH-switch incorporation.
- Prediction of successful mutation sites within antibody complementarity-determining regions.
Main Results:
- Calculations suggest specific mutations (His to Trp, Arg, Tyr) can enhance pH-dependent binding.
- Ten specific positions in the complementarity-determining region were identified as promising for engineering pH-selectivity.
- The study provides two accessible metrics for sequence-based engineering of pH-selective binding.
Conclusions:
- A sequence-based engineering approach for pH-selective antibody binding is feasible.
- This method can be applied to a broad range of anticancer antibodies, including those lacking detailed structural data.
- The engineered antibodies offer improved safety profiles by targeting acidic tumor microenvironments.
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