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 Provenzano^2,3, 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 Sala^1,7, Bristi Basu^2,6, Jean Abraham^6,8, Suet-Feung Chin², Martin J Graves¹, Fiona J Gilbert¹, Carlos Caldas^2,3,6, Kevin M Brindle², and Ferdia A Gallagher^1,7

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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