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Longitudinal molecular profiling elucidates immunometabolism dynamics in breast cancer

Author

Listed:
  • Kang Wang

    (Karolinska Institutet)

  • Ioannis Zerdes

    (Karolinska Institutet
    Karolinska University Hospital and Karolinska Comprehensive Cancer Center)

  • Henrik J. Johansson

    (and Science for Life Laboratory)

  • Dhifaf Sarhan

    (Karolinska Institutet)

  • Yizhe Sun

    (Karolinska Institutet)

  • Dimitris C. Kanellis

    (Karolinska Institutet)

  • Emmanouil G. Sifakis

    (Karolinska Institutet)

  • Artur Mezheyeuski

    (Rudbeck Laboratory
    Vall d’Hebron Institute of Oncology (VHIO))

  • Xingrong Liu

    (Karolinska Institutet)

  • Niklas Loman

    (Lund University Hospital
    Lund University)

  • Ingrid Hedenfalk

    (Lund University)

  • Jonas Bergh

    (Karolinska Institutet
    Karolinska University Hospital and Karolinska Comprehensive Cancer Center)

  • Jiri Bartek

    (Karolinska Institutet
    Danish Cancer Institute)

  • Thomas Hatschek

    (Karolinska Institutet
    Karolinska University Hospital and Karolinska Comprehensive Cancer Center)

  • Janne Lehtiö

    (and Science for Life Laboratory
    Karolinska University Hospital and Karolinska Comprehensive Cancer Center)

  • Alexios Matikas

    (Karolinska Institutet
    Karolinska University Hospital and Karolinska Comprehensive Cancer Center)

  • Theodoros Foukakis

    (Karolinska Institutet
    Karolinska University Hospital and Karolinska Comprehensive Cancer Center)

Abstract

Although metabolic reprogramming within tumor cells and tumor microenvironment (TME) is well described in breast cancer, little is known about how the interplay of immune state and cancer metabolism evolves during treatment. Here, we characterize the immunometabolic profiles of tumor tissue samples longitudinally collected from individuals with breast cancer before, during and after neoadjuvant chemotherapy (NAC) using proteomics, genomics and histopathology. We show that the pre-, on-treatment and dynamic changes of the immune state, tumor metabolic proteins and tumor cell gene expression profiling-based metabolic phenotype are associated with treatment response. Single-cell/nucleus RNA sequencing revealed distinct tumor and immune cell states in metabolism between cold and hot tumors. Potential drivers of NAC based on above analyses were validated in vitro. In summary, the study shows that the interaction of tumor-intrinsic metabolic states and TME is associated with treatment outcome, supporting the concept of targeting tumor metabolism for immunoregulation.

Suggested Citation

  • Kang Wang & Ioannis Zerdes & Henrik J. Johansson & Dhifaf Sarhan & Yizhe Sun & Dimitris C. Kanellis & Emmanouil G. Sifakis & Artur Mezheyeuski & Xingrong Liu & Niklas Loman & Ingrid Hedenfalk & Jonas , 2024. "Longitudinal molecular profiling elucidates immunometabolism dynamics in breast cancer," Nature Communications, Nature, vol. 15(1), pages 1-24, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47932-y
    DOI: 10.1038/s41467-024-47932-y
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