Literature DB >> 30726084

Structure-Based Design of Potent Tumor-Associated Antigens: Modulation of Peptide Presentation by Single-Atom O/S or O/Se Substitutions at the Glycosidic Linkage.

Ismael Compañón1, Ana Guerreiro2, Vincenzo Mangini3, Jorge Castro-López4, Margarita Escudero-Casao5, Alberto Avenoza1, Jesús H Busto1, Sergio Castillón5, Jesús Jiménez-Barbero6,7,8, Juan L Asensio9, Gonzalo Jiménez-Osés1,6, Omar Boutureira5, Jesús M Peregrina1, Ramón Hurtado-Guerrero4, Roberto Fiammengo3, Gonçalo J L Bernardes2,10, Francisco Corzana1.   

Abstract

GalNAc-glycopeptides derived from mucin MUC1 are an important class of tumor-associated antigens. α- O-glycosylation forces the peptide to adopt an extended conformation in solution, which is far from the structure observed in complexes with a model anti-MUC1 antibody. Herein, we propose a new strategy for designing potent antigen mimics based on modulating peptide/carbohydrate interactions by means of O → S/Se replacement at the glycosidic linkage. These minimal chemical modifications bring about two key structural changes to the glycopeptide. They increase the carbohydrate-peptide distance and change the orientation and dynamics of the glycosidic linkage. As a result, the peptide acquires a preorganized and optimal structure suited for antibody binding. Accordingly, these new glycopeptides display improved binding toward a representative anti-MUC1 antibody relative to the native antigens. To prove the potential of these glycopeptides as tumor-associated MUC1 antigen mimics, the derivative bearing the S-glycosidic linkage was conjugated to gold nanoparticles and tested as an immunogenic formulation in mice without any adjuvant, which resulted in a significant humoral immune response. Importantly, the mice antisera recognize cancer cells in biopsies of breast cancer patients with high selectivity. This finding demonstrates that the antibodies elicited against the mimetic antigen indeed recognize the naturally occurring antigen in its physiological context. Clinically, the exploitation of tumor-associated antigen mimics may contribute to the development of cancer vaccines and to the improvement of cancer diagnosis based on anti-MUC1 antibodies. The methodology presented here is of general interest for applications because it may be extended to modulate the affinity of biologically relevant glycopeptides toward their receptors.

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Year:  2019        PMID: 30726084     DOI: 10.1021/jacs.8b13503

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  14 in total

Review 1.  Tumor-associated O-glycans of MUC1: Carriers of the glyco-code and targets for cancer vaccine design.

Authors:  Donella M Beckwith; Maré Cudic
Journal:  Semin Immunol       Date:  2020-01-09       Impact factor: 11.130

2.  Synthesis of C-linked α-Gal and α-GalNAc-1'-hydroxyalkanes by way of C2 functionality transfer.

Authors:  Ernest G Nolen; Ezra S Hornik; Kendra B Jeans; Weiyu Zhong; Danielle M LaPaglia
Journal:  Tetrahedron Lett       Date:  2021-04-23       Impact factor: 2.032

3.  FUT8-Directed Core Fucosylation of N-glycans Is Regulated by the Glycan Structure and Protein Environment.

Authors:  Ana García-García; Sonia Serna; Zhang Yang; Ignacio Delso; Víctor Taleb; Thomas Hicks; Raik Artschwager; Sergey Y Vakhrushev; Henrik Clausen; Jesús Angulo; Francisco Corzana; Niels C Reichardt; Ramon Hurtado-Guerrero
Journal:  ACS Catal       Date:  2021-07-08       Impact factor: 13.700

4.  Design, Synthesis, and Preliminary Immunological Studies of MUC1-Based Antitumor Vaccines Adjuvanted with R- and S-FSL-1.

Authors:  Yonghui Liu; Bocheng Yan; Zhaoyu Wang; Haomiao Zhu; Xiaona Yin; Kun Wang; Menglei Wang; Wei Zhao
Journal:  ACS Med Chem Lett       Date:  2020-06-22       Impact factor: 4.345

Review 5.  Recent advances on smart glycoconjugate vaccines in infections and cancer.

Authors:  Marko Anderluh; Francesco Berti; Anna Bzducha-Wróbel; Fabrizio Chiodo; Cinzia Colombo; Federica Compostella; Katarzyna Durlik; Xhenti Ferhati; Rikard Holmdahl; Dragana Jovanovic; Wieslaw Kaca; Luigi Lay; Milena Marinovic-Cincovic; Marco Marradi; Musa Ozil; Laura Polito; Josè Juan Reina; Celso A Reis; Robert Sackstein; Alba Silipo; Urban Švajger; Ondřej Vaněk; Fumiichiro Yamamoto; Barbara Richichi; Sandra J van Vliet
Journal:  FEBS J       Date:  2021-06-01       Impact factor: 5.622

6.  A Structurally Simple Vaccine Candidate Reduces Progression and Dissemination of Triple-Negative Breast Cancer.

Authors:  Amedeo Amedei; Fatemeh Asadzadeh; Francesco Papi; Maria Giuliana Vannucchi; Veronica Ferrucci; Iris A Bermejo; Marco Fragai; Carolina Vieira De Almeida; Linda Cerofolini; Stefano Giuntini; Mauro Bombaci; Elisa Pesce; Elena Niccolai; Francesca Natali; Eleonora Guarini; Frank Gabel; Chiara Traini; Stefano Catarinicchia; Federica Ricci; Lorenzo Orzalesi; Francesco Berti; Francisco Corzana; Massimo Zollo; Renata Grifantini; Cristina Nativi
Journal:  iScience       Date:  2020-06-06

Review 7.  Glycan structures and their interactions with proteins. A NMR view.

Authors:  Ana Gimeno; Pablo Valverde; Ana Ardá; Jesús Jiménez-Barbero
Journal:  Curr Opin Struct Biol       Date:  2019-12-10       Impact factor: 6.809

8.  Facile triflic acid-catalyzed α-1,2-cis-thio glycosylations: scope and application to the synthesis of S-linked oligosaccharides, glycolipids, sublancin glycopeptides, and TN/TF antigens.

Authors:  Sanyong Zhu; Ganesh Samala; Eric T Sletten; Jennifer L Stockdill; Hien M Nguyen
Journal:  Chem Sci       Date:  2019-10-01       Impact factor: 9.825

9.  Positional Scanning MUC1 Glycopeptide Library Reveals the Importance of PDTR Epitope Glycosylation for Lectin Binding.

Authors:  YashoNandini Singh; Maria C Rodriguez Benavente; Mohammed H Al-Huniti; Donella Beckwith; Ramya Ayyalasomayajula; Eric Patino; William S Miranda; Alex Wade; Maré Cudic
Journal:  J Org Chem       Date:  2019-12-18       Impact factor: 4.354

10.  Multifunctional Protein Conjugates with Built-in Adjuvant (Adjuvant-Protein-Antigen) as Cancer Vaccines Boost Potent Immune Responses.

Authors:  Jing-Jing Du; Chang-Wei Wang; Wen-Bo Xu; Lian Zhang; Yuan-Kai Tang; Shi-Hao Zhou; Xiao-Fei Gao; Guang-Fu Yang; Jun Guo
Journal:  iScience       Date:  2020-02-24
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