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Leveraging glucan-induced trained immunity for the epigenetic and metabolic rewiring of macrophages to enhance colorectal cancer vaccine response

  • Firas Hamdan
  • , Sara Gandolfi
  • , Federica D’Alessio
  • , Yvonne Giannoula
  • , Julia Kolikova
  • , Manlio Fusciello
  • , Elisa Zaghen
  • , Alessandra Napolano
  • , Salvatore Russo
  • , Ozan Izci
  • , Paolo Bottega
  • , Jacopo Chiaro
  • , Kirsi Marja Alanen
  • , Gabriella Antignani
  • , Michaela Feodoroff
  • , Virpi Stigzelius
  • , Milda Sakalauskaite
  • , Janita Sandberg
  • , Anni I. Nieminen
  • , Nicola Zambrano
  • Ove Eriksson, Satu Mustjoki, Toni T. Seppälä, Mikaela Grönholm, Vincenzo Cerullo*
*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)
9 Downloads (Pure)

Abstract

Colorectal cancer (CRC) remains refractory to most immunotherapies, with cancer vaccines failing due to an immunosuppressive tumor microenvironment. Here, we show that β-glucan–induced trained immunity overcomes these barriers by reprogramming macrophages through H3K4me3-dependent epigenetic modifications and metabolic rewiring. In female mice vaccinated with peptide-coated adenovirus-based vaccine PeptiCrad, training enhances glycolysis with creatine metabolism sustaining CXCL9/10 production, enabling macrophages to recruit NK cells via CXCR3. In turn, NK cells produce CCL5, driving cDC1 infiltration and antigen presentation, which together amplify effector memory CD8⁺ T cell responses. Moreover, with human peripheral blood mononuclear cells and CRC patient-derived organoids, trained macrophages boost NK migration, antigen-specific T cell activation, and tumor killing. These findings highlight trained immunity as a powerful adjuvant to reinvigorate colorectal cancer vaccination.

Original languageEnglish
Article number1757
JournalNature Communications
Volume17
Issue number1
DOIs
Publication statusPublished - Feb 2026
Publication typeA1 Journal article-refereed

Funding

The flow cytometry analysis was performed at the HiLife Flow Cytometry Unit, University of Helsinki. We acknowledge the Helsinki Metabolomics Center, supported by HiIFE and Biocenter Finland. The single-cell RNA sequencing was performed with FIMM Single-Cell Analytics and Sequencing units supported by HiLIFE and Biocenter Finland. We are also grateful for Dr. Cristian Smerdou (Cima Universidad de Navarra) for kindly gifting us the MC38 cell line. We would also like to acknowledge bachelor student, Karim Hamdan, for helping in some experiments. This work has been supported by European Research Council (ERC), Horizon 2020 (H2020) framework (Agreement No. 681219) (V.C.), Magnus Ehrnrooth Foundation (project No. 4706235) (V.C.), Jane and Aatos Erkko Foundation (Project No. 4705796) (V.C.), Finnish Cancer Foundation (project No. 4706116) (V.C.), Helsinki Institute of Life Science (HiLIFE) (project No. 797011004) (V.C.), Digital Precision Cancer Medicine Flagship iCAN (V.C.), GeneCellNano flagship (V.C.), HiLIFE HiPOC (FH), Research Council of Finland (TTS) and iCAN Digital Precision Cancer Medicine Flagship (TTS), and research grants by Jane and Aatos Erkko Foundation (TTS), Sigrid Juselius Foundation (TTS), Mary and Georg Ehrnrooth Foundation (TTS), Cancer Foundation Finland (TTS), Relander Foundation (TTS), and HUS(TTS) and Pirha state research funding (TTS).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Publication forum classification

  • Publication forum level 3

ASJC Scopus subject areas

  • General Chemistry
  • General Biochemistry,Genetics and Molecular Biology
  • General
  • General Physics and Astronomy

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