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Metabolic imaging across scales reveals distinct prostate cancer phenotypes

Author

Listed:
  • Nikita Sushentsev

    (University of Cambridge and Cambridge University Hospitals NHS Foundation Trust)

  • Gregory Hamm

    (AstraZeneca)

  • Lucy Flint

    (AstraZeneca)

  • Daniel Birtles

    (AstraZeneca)

  • Aleksandr Zakirov

    (University of Cambridge)

  • Jack Richings

    (AstraZeneca)

  • Stephanie Ling

    (AstraZeneca)

  • Jennifer Y. Tan

    (AstraZeneca)

  • Mary A. McLean

    (University of Cambridge and Cambridge University Hospitals NHS Foundation Trust
    University of Cambridge)

  • Vinay Ayyappan

    (University of Cambridge and Cambridge University Hospitals NHS Foundation Trust)

  • Ines Horvat Menih

    (University of Cambridge and Cambridge University Hospitals NHS Foundation Trust)

  • Cara Brodie

    (University of Cambridge)

  • Jodi L. Miller

    (University of Cambridge)

  • Ian G. Mills

    (Queen’s University Belfast
    John Radcliffe Hospital)

  • Vincent J. Gnanapragasam

    (Cambridge University Hospitals NHS Foundation Trust
    University of Cambridge
    Addenbrooke’s Hospital)

  • Anne Y. Warren

    (Cambridge University Hospitals NHS Foundation Trust)

  • Simon T. Barry

    (AstraZeneca)

  • Richard J. A. Goodwin

    (AstraZeneca)

  • Tristan Barrett

    (University of Cambridge and Cambridge University Hospitals NHS Foundation Trust)

  • Ferdia A. Gallagher

    (University of Cambridge and Cambridge University Hospitals NHS Foundation Trust)

Abstract

Hyperpolarised magnetic resonance imaging (HP-13C-MRI) has shown promise as a clinical tool for detecting and characterising prostate cancer. Here we use a range of spatially resolved histological techniques to identify the biological mechanisms underpinning differential [1-13C]lactate labelling between benign and malignant prostate, as well as in tumours containing cribriform and non-cribriform Gleason pattern 4 disease. Here we show that elevated hyperpolarised [1-13C]lactate signal in prostate cancer compared to the benign prostate is primarily driven by increased tumour epithelial cell density and vascularity, rather than differences in epithelial lactate concentration between tumour and normal. We also demonstrate that some tumours of the cribriform subtype may lack [1-13C]lactate labelling, which is explained by lower epithelial lactate dehydrogenase expression, higher mitochondrial pyruvate carrier density, and increased lipid abundance compared to lactate-rich non-cribriform lesions. These findings highlight the potential of combining spatial metabolic imaging tools across scales to identify clinically significant metabolic phenotypes in prostate cancer.

Suggested Citation

  • Nikita Sushentsev & Gregory Hamm & Lucy Flint & Daniel Birtles & Aleksandr Zakirov & Jack Richings & Stephanie Ling & Jennifer Y. Tan & Mary A. McLean & Vinay Ayyappan & Ines Horvat Menih & Cara Brodi, 2024. "Metabolic imaging across scales reveals distinct prostate cancer phenotypes," Nature Communications, Nature, vol. 15(1), pages 1-22, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50362-5
    DOI: 10.1038/s41467-024-50362-5
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    References listed on IDEAS

    as
    1. Nikita Sushentsev & Mary A. McLean & Anne Y. Warren & Arnold J. V. Benjamin & Cara Brodie & Amy Frary & Andrew B. Gill & Julia Jones & Joshua D. Kaggie & Benjamin W. Lamb & Matthew J. Locke & Jodi L. , 2022. "Hyperpolarised 13C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Hong Yuen Wong & Quanhu Sheng & Amanda B. Hesterberg & Sarah Croessmann & Brenda L. Rios & Khem Giri & Jorgen Jackson & Adam X. Miranda & Evan Watkins & Kerry R. Schaffer & Meredith Donahue & Elizabet, 2022. "Single cell analysis of cribriform prostate cancer reveals cell intrinsic and tumor microenvironmental pathways of aggressive disease," Nature Communications, Nature, vol. 13(1), pages 1-21, December.
    3. Nikita Sushentsev & Mary A. McLean & Anne Y. Warren & Arnold J. V. Benjamin & Cara Brodie & Amy Frary & Andrew B. Gill & Julia Jones & Joshua D. Kaggie & Benjamin W. Lamb & Matthew J. Locke & Jodi L. , 2022. "Author Correction: Hyperpolarised 13C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer," Nature Communications, Nature, vol. 13(1), pages 1-1, December.
    4. Leena Latonen & Ebrahim Afyounian & Antti Jylhä & Janika Nättinen & Ulla Aapola & Matti Annala & Kati K. Kivinummi & Teuvo T. L. Tammela & Roger W. Beuerman & Hannu Uusitalo & Matti Nykter & Tapio Vis, 2018. "Integrative proteomics in prostate cancer uncovers robustness against genomic and transcriptomic aberrations during disease progression," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
    5. Hanbing Song & Hannah N. W. Weinstein & Paul Allegakoen & Marc H. Wadsworth & Jamie Xie & Heiko Yang & Ethan A. Castro & Kevin L. Lu & Bradley A. Stohr & Felix Y. Feng & Peter R. Carroll & Bruce Wang , 2022. "Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    6. Andrew Erickson & Mengxiao He & Emelie Berglund & Maja Marklund & Reza Mirzazadeh & Niklas Schultz & Linda Kvastad & Alma Andersson & Ludvig Bergenstråhle & Joseph Bergenstråhle & Ludvig Larsson & Lei, 2022. "Spatially resolved clonal copy number alterations in benign and malignant tissue," Nature, Nature, vol. 608(7922), pages 360-367, August.
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