Nature Communications (Jul 2024)

Metabolic imaging across scales reveals distinct prostate cancer phenotypes

  • 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 Brodie,
  • Jodi L. Miller,
  • Ian G. Mills,
  • Vincent J. Gnanapragasam,
  • Anne Y. Warren,
  • Simon T. Barry,
  • Richard J. A. Goodwin,
  • Tristan Barrett,
  • Ferdia A. Gallagher

DOI
https://doi.org/10.1038/s41467-024-50362-5
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 22

Abstract

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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.