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Abstract #0258

Imaging metabolic heterogeneity in breast cancer using hyperpolarized 13C-MRSI

Ramona Woitek1, Mary A McLean2, James T Grist1, Raquel Manzano Garcia2, Turid Torheim2, Elena Provenzano2,3, Oscar M Rueda2, Andrew B Gill1, Andrew J Patterson4, Frank Riemer1, Joshua Kaggie1, Stephan Ursprung1, Fulvio Zaccagna1, Surrin S Deen1, Marie-Christine Laurent1, Matthew Locke1, Amy Frary1, Sarah Hilborne1, Chris Boursnell2, Titus Lanz5, Amy Schiller4, Ilse Patterson4, Bruno Carmo4, Rhys Slough4, Richard Baird6, Evis Sala1,7, Bristi Basu2,6, Jean Abraham6,8, Suet-Feung Chin2, Martin J Graves1, Fiona J Gilbert1, Carlos Caldas2,3,6, Kevin M Brindle2, and Ferdia A Gallagher1,7

1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2CRUK Cambridge Institute, Cambridge, United Kingdom, 3Cambridge Breast Unit, Addenbrooke's Hospital, Cambridge University Hospital NHS Foundation Trust, NIHR Cambridge Biomedical Research Centre, Cambridge, United Kingdom, 4Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 5Rapid Biomedical GmbH, Rimpar, Germany, 6Department of Oncology, University of Cambridge, Cambridge, United Kingdom, 7Department of Radiology, Addenbrooke’s Hospital, Cambridge University Hospital NHS Foundation Trust and NIHR, Cambridge, United Kingdom, 8Cambridge Breast Unit, Addenbrooke’s Hospital, Cambridge University Hospital NHS Foundation Trust and NIHR, Cambridge, United Kingdom

13C magnetic resonance spectroscopic imaging (13C-MRSI) is a promising technique for elucidating metabolic heterogeneity in breast cancer. We used 13C-MRSI to evaluate the extent of glycolysis in different histologic and molecular breast cancer subtypes and correlated these findings with the expression of a key transmembrane transporter (MCT1) and glycolytic enzyme (LDHA). In addition to a strong correlation between glycolysis and tumor volume, there was higher expression of MCT1 and LDHA as well as CAIX, a hypoxia marker, in the more glycolytic tumors. This is the first study in humans to demonstrate the relationship between intertumoral heterogeneity on gene expression analysis and 13C-MRSI.

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