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Fumarate Metabolic Signature for the Detection of Reed Syndrome in Humans

  • Ruth T Casey
  • , Mary A McLean
  • , Benjamin G Challis
  • , Terri P McVeigh
  • , Anne Y Warren
  • , Lee Mendil
  • , Richard Houghton
  • , Stefano De Sanctis
  • , Vasilis Kosmoliaptsis
  • , Richard N Sandford
  • , Ferdia A Gallagher
  • , Eamonn R Maher
  • University of Cambridge and NIHR Cambridge Biomedical Research Centre and Cancer Research UK Cambridge Centre and Cambridge University Hospitals NHS Foundation Trust
  • University of Cambridge
  • Cambridge University Hospital NHS Foundation Trust
  • University of Edinburgh
  • Cambridge University NHS Foundation Trust and Cancer Research UK Cambridge Centre
  • Cambridge University Hospitals NHS Foundation Trust

Research output: Contribution to journalArticlepeer-review

Abstract

PURPOSE: Inherited pathogenic variants in genes encoding the metabolic enzymes succinate dehydrogenase (SDH) and fumarate hydratase predispose to tumor development through accumulation of oncometabolites (succinate and fumarate, respectively; ref. 1). Noninvasive in vivo detection of tumor succinate by proton magnetic resonance spectroscopy (1H-MRS) has been reported in SDH-deficient tumors, but the potential utility of this approach in the management of patients with hereditary leiomyomatosis and renal cell cancer syndrome or Reed syndrome is unknown.

EXPERIMENTAL DESIGN: Magnetic resonance spectroscopy (1H-MRS) was performed on three cases and correlated with germline genetic results and tumor IHC when available.

RESULTS: Here, we have demonstrated a proof of principle that 1H-MRS can provide a noninvasive diagnosis of hereditary leiomyomatosis and renal cell cancer syndrome or Reed syndrome through detection of fumarate accumulation in vivo.

CONCLUSIONS: This study demonstrates that in vivo detection of fumarate could be employed as a functional biomarker.

Original languageEnglish
Pages (from-to)391-396
Number of pages6
JournalClinical Cancer Research
Volume26
Issue number2
DOIs
Publication statusPublished - 15 Jan 2020

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

Keywords

  • Adult
  • Female
  • Fumarate Hydratase/genetics
  • Fumarates/metabolism
  • Germ-Line Mutation
  • Humans
  • Kidney Neoplasms/diagnosis
  • Leiomyomatosis/diagnosis
  • Male
  • Middle Aged
  • Neoplastic Syndromes, Hereditary/diagnosis
  • Proton Magnetic Resonance Spectroscopy/methods
  • Skin Neoplasms/diagnosis
  • Succinate Dehydrogenase/genetics
  • Uterine Neoplasms/diagnosis

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