Differential MMP-14 Targeting by Lumican-Derived Peptides Unraveled by In Silico Approach.

Fiche publication

Date publication

septembre 2021

Journal

Cancers

Auteurs

Membres identifiés du Cancéropôle Est :
Dr BREZILLON Stéphane , Pr DAUCHEZ Manuel , Dr ETIQUE Nicolas , Pr RAMONT Laurent , Pr BAUD Stéphanie

Tous les auteurs :
Dauvé J, Belloy N, Rivet R, Etique N, Nizet P, Pietraszek-Gremplewicz K, Karamanou K, Dauchez M, Ramont L, Brézillon S, Baud S

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/34638415

Résumé

Lumican, a small leucine-rich proteoglycan (SLRP) of the extracellular matrix (ECM), displays anti-tumor properties through its direct interaction with MMP-14. Lumican-derived peptides, such as lumcorin (17 amino acids) or L9M (10 amino acids), are able to inhibit the proteolytic activity of MMP-14 and melanoma progression. This work aimed to visualize the interactions of lumican-derived peptides and MMP-14. Molecular modeling was used to characterize the interactions between lumican-derived peptides, such as lumcorin, L9M, and cyclic L9M (L9Mc, 12 amino acids), and MMP-14. The interaction of L9Mc with MMP-14 was preferential with the MT-Loop domain while lumcorin interacted more with the catalytic site. Key residues in the MMP-14 amino acid sequence were highlighted for the interaction between the inhibitory SLRP-derived peptides and MMP-14. In order to validate the in silico data, MMP-14 activity and migration assays were performed using murine B16F1 and human HT-144 melanoma cells. In contrast to the HT-144 melanoma cell line, L9Mc significantly inhibited the migration of B16F1 cells and the activity of MMP-14 but with less efficacy than lumican and lumcorin. L9Mc significantly inhibited the proliferation of B16F1 but not of HT-144 cells in vitro and primary melanoma tumor growth in vivo. Thus, the site of interaction between the domains of MMP-14 and lumcorin or L9Mc were different, which might explain the differences in the inhibitory effect of MMP-14 activity. Altogether, the biological assays validated the prediction of the in silico study. Possible and feasible improvements include molecular dynamics results.