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A Novel Approach for the Identification of Unique Tumor Vasculature Binding Peptides Using an E. coli Peptide Display Library

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Abstract

Background: Tumor neovascularization is necessary for continued tumor growth and metastasis. During the process of endothelial cell (EC) recruitment and tumor infiltration, specific molecular markers unique for this interaction are expressed on the EC surface. Targeting these molecular markers would, in effect, allow for specific tumor targeting. Tripeptide sequence motifs have previously been reported that will bind to angiogenic tumor ECs. These sequences were identified from in vivo phage peptide display libraries. The purpose of this study was to use a more simplified bacterial peptide display library in an in vitro system to seek out peptide motifs with unique binding to tumor microvasculature.

Methods: FliTrx™ is a bacterial peptide display library containing the entire repertoire of possible random dodecapeptides expressed on the flagella tip of E. coli. Two EC populations were used for the screening process, Matrigel invading cells (MAGIC) and tumor–derived endothelial cells (TDEC). MAGIC are obtained from ECs that infiltrate a subcutaneous fibroblast growth factor–containing Matrigel deposit, and TDEC are ECs selectively obtained from tumor vasculature. FliTrx cells were incubated with MAGIC at 4°C to remove any potential clones displaying peptides that will bind to nonspecific EC surface targets. The non–binding cells were then incubated with TDEC, allowing for clones displaying potential binding peptides to bind tumor specific targets on TDECs. The bacterial population was then expanded and this “panning” process was carried out a total of five times. Peptide insert sequences from 100 bacterial colonies were analyzed for potential repetitive peptide motifs.

Results: Recurring peptide sequences were detected that were 3–mers (13 sequences) and 4–mers (4 sequences). Of the 3–mers, four repeated 3 times, whereas none of the 4–mers repeated more than twice. All of the repeated sequences were basic in charge, and arginine was the most commonly seen amino acid. A tripeptide basic–basic–nonpolar amino acid arrangement was the most prevalent charge sequence in all repetitive motifs (17 repeat sequences). Two test peptides showed TDEC binding specificity, and both conformed to the basic–basic–nonpolar motif.

Conclusions: We report peptide sequences derived from panning an in vitro system designed to detect tumor–EC specific markers. These putative motifs may serve as molecular determinants for a novel therapeutic modality aimed at specifically targeting tumors through tumor angiogenic vessels.

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Brown, C.K., Modzelewski, R.A., Johnson, C.S. et al. A Novel Approach for the Identification of Unique Tumor Vasculature Binding Peptides Using an E. coli Peptide Display Library. Ann Surg Oncol 7, 743–749 (2000). https://doi.org/10.1007/s10434-000-0743-0

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  • DOI: https://doi.org/10.1007/s10434-000-0743-0

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