Hyperpolarized 13C-Pyruvate Metabolism as a Surrogate for Tumor Grade and Poor Outcome in Renal Cell Carcinoma—A Proof of Principle Study

Author:

Ursprung StephanORCID,Woitek Ramona,McLean Mary A.,Priest Andrew N.ORCID,Crispin-Ortuzar Mireia,Brodie Cara R.,Gill Andrew B.ORCID,Gehrung Marcel,Beer LucianORCID,Riddick Antony C. P.,Field-Rayner Johanna,Grist James T.,Deen Surrin S.ORCID,Riemer FrankORCID,Kaggie Joshua D.ORCID,Zaccagna FulvioORCID,Duarte Joao A. G.,Locke Matthew J.,Frary Amy,Aho Tevita F.,Armitage James N.,Casey Ruth,Mendichovszky Iosif A.,Welsh Sarah J.ORCID,Barrett Tristan,Graves Martin J.,Eisen TimORCID,Mitchell Thomas J.,Warren Anne Y.,Brindle Kevin M.ORCID,Sala Evis,Stewart Grant D.ORCID,Gallagher Ferdia A.ORCID

Abstract

Differentiating aggressive clear cell renal cell carcinoma (ccRCC) from indolent lesions is challenging using conventional imaging. This work prospectively compared the metabolic imaging phenotype of renal tumors using carbon-13 MRI following injection of hyperpolarized [1-13C]pyruvate (HP-13C-MRI) and validated these findings with histopathology. Nine patients with treatment-naïve renal tumors (6 ccRCCs, 1 liposarcoma, 1 pheochromocytoma, 1 oncocytoma) underwent pre-operative HP-13C-MRI and conventional proton (1H) MRI. Multi-regional tissue samples were collected using patient-specific 3D-printed tumor molds for spatial registration between imaging and molecular analysis. The apparent exchange rate constant (kPL) between 13C-pyruvate and 13C-lactate was calculated. Immunohistochemistry for the pyruvate transporter (MCT1) from 44 multi-regional samples, as well as associations between MCT1 expression and outcome in the TCGA-KIRC dataset, were investigated. Increasing kPL in ccRCC was correlated with increasing overall tumor grade (ρ = 0.92, p = 0.009) and MCT1 expression (r = 0.89, p = 0.016), with similar results acquired from the multi-regional analysis. Conventional 1H-MRI parameters did not discriminate tumor grades. The correlation between MCT1 and ccRCC grade was confirmed within a TCGA dataset (p < 0.001), where MCT1 expression was a predictor of overall and disease-free survival. In conclusion, metabolic imaging using HP-13C-MRI differentiates tumor aggressiveness in ccRCC and correlates with the expression of MCT1, a predictor of survival. HP-13C-MRI may non-invasively characterize metabolic phenotypes within renal cancer.

Funder

Cancer Research UK

Wellcome Trust

The Mark Foundation for Cancer Research

Addenbrooke's Charitable Trust

FWF Austrian Science Fund

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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