Literature DB >> 34103348

Viral Molecular Mimicry Influences the Antitumor Immune Response in Murine and Human Melanoma.

Jacopo Chiaro1,2, Henna H E Kasanen2,3,4, Anna S Kreutzman1,2,3,4, Satu Mustjoki2,3,4,5,6, Barbara Szomolay7,8, Thomas Whalley7,8, Cristian Capasso1,2, Mikaela Grönholm1,2,9, Sara Feola1,2, Karita Peltonen1,2, Firas Hamdan1,2, Micaela Hernberg2,10, Siru Mäkelä2,10, Hanna Karhapää2,10, Paul E Brown5, Beatriz Martins1,2, Manlio Fusciello1,2, Erkko O Ylösmäki1,2, Dario Greco11,12, Vincenzo Cerullo13,2,9,6,14.   

Abstract

Molecular mimicry is one of the leading mechanisms by which infectious agents can induce autoimmunity. Whether a similar mechanism triggers an antitumor immune response is unexplored, and the role of antiviral T cells infiltrating the tumor has remained anecdotal. To address these questions, we first developed a bioinformatic tool to identify tumor peptides with high similarity to viral epitopes. Using peptides identified by this tool, we demonstrated that, in mice, preexisting immunity toward specific viral epitopes enhanced the efficacy of cancer immunotherapy via molecular mimicry in different settings. To understand whether this mechanism could partly explain immunotherapy responsiveness in humans, we analyzed a cohort of patients with melanoma undergoing anti-PD1 treatment who had a high IgG titer for cytomegalovirus (CMV). In this cohort of patients, we showed that high levels of CMV-specific antibodies were associated with prolonged progression-free survival and found that, in some cases, peripheral blood mononuclear cells (PBMC) could cross-react with both melanoma and CMV homologous peptides. Finally, T-cell receptor sequencing revealed expansion of the same CD8+ T-cell clones when PBMCs were expanded with tumor or homologous viral peptides. In conclusion, we have demonstrated that preexisting immunity and molecular mimicry could influence the response to immunotherapies. In addition, we have developed a free online tool that can identify tumor antigens and neoantigens highly similar to pathogen antigens to exploit molecular mimicry and cross-reactive T cells in cancer vaccine development. ©2021 The Authors; Published by the American Association for Cancer Research.

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Year:  2021        PMID: 34103348     DOI: 10.1158/2326-6066.CIR-20-0814

Source DB:  PubMed          Journal:  Cancer Immunol Res        ISSN: 2326-6066            Impact factor:   11.151


  5 in total

1.  Oncolytic Adenoviral Vector-Mediated Expression of an Anti-PD-L1-scFv Improves Anti-Tumoral Efficacy in a Melanoma Mouse Model.

Authors:  Maria Vitale; Filippo Scialò; Margherita Passariello; Eleonora Leggiero; Anna D'Agostino; Lorella Tripodi; Laura Gentile; Andrea Bianco; Giuseppe Castaldo; Vincenzo Cerullo; Claudia De Lorenzo; Lucio Pastore
Journal:  Front Oncol       Date:  2022-05-20       Impact factor: 5.738

Review 2.  Development of preclinical and clinical models for immune-related adverse events following checkpoint immunotherapy: a perspective from SITC and AACR.

Authors:  Nicholas L Bayless; Jeffrey A Bluestone; Samantha Bucktrout; Lisa H Butterfield; Elizabeth M Jaffee; Christian A Koch; Bart O Roep; Arlene H Sharpe; William J Murphy; Alexandra-Chloé Villani; Theresa L Walunas
Journal:  J Immunother Cancer       Date:  2021-09       Impact factor: 12.469

Review 3.  Neoantigen Cancer Vaccines: Generation, Optimization, and Therapeutic Targeting Strategies.

Authors:  Carson R Reynolds; Son Tran; Mohit Jain; Aru Narendran
Journal:  Vaccines (Basel)       Date:  2022-01-26

4.  A novel immunopeptidomic-based pipeline for the generation of personalized oncolytic cancer vaccines.

Authors:  Jacopo Chiaro; Beatriz Martins; Sara Feola; Salvatore Russo; Manlio Fusciello; Erkko Ylösmäki; Chiara Bonini; Eliana Ruggiero; Firas Hamdan; Michaela Feodoroff; Gabriella Antignani; Tapani Viitala; Sari Pesonen; Mikaela Grönholm; Rui M M Branca; Janne Lehtiö; Vincenzo Cerullo
Journal:  Elife       Date:  2022-03-22       Impact factor: 8.713

5.  Peptides-Coated Oncolytic Vaccines for Cancer Personalized Medicine.

Authors:  Sara Feola; Salvatore Russo; Beatriz Martins; Alessandra Lopes; Gaëlle Vandermeulen; Vinciane Fluhler; Camilla De Giorgi; Manlio Fusciello; Sari Pesonen; Erkko Ylösmäki; Gabriella Antignani; Jacopo Chiaro; Firas Hamdan; Michaela Feodoroff; Mikaela Grönholm; Vincenzo Cerullo
Journal:  Front Immunol       Date:  2022-04-14       Impact factor: 8.786

  5 in total

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