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Pyruvate

Participants receive HP 13C pyruvate IV and then undergo 13C MRI scan 1-2 minutes post HP 13C pyruvate injection. Participants may receive an optional second HP 13C pyruvate injection and undergo 13C pyruvate MRI scan 15 to 30 minutes following completion of the first scan or at a return visit 1-2 weeks from the first HP C13 MRI

Participants receive HP 13C pyruvate and 13C 15N2 urea IV and then undergo an MRI scan 1-2 minutes post injection. Participants may receive an optional second HP 13C pyruvate with 13C 15N2 urea injection and undergo a second MRI scan 15 to 30 minutes following completion of the first scan or at a return visit 1-2 weeks from the first HP C13 MRI

Hyperpolarized Carbon C 13 Pyruvate

Magnetic Resonance Imaging

Hyperpolarized 13C,15N2-urea

Zhen Jane Wang, MD

Maya Aslam

Peder Larson, PhD

This feasibility study will evaluate how well hyperpolarized 13C pyruvate magnetic resonance imaging (MRI) scan works in predicting tumor aggressiveness in participants with renal tumors. Hyperpolarized 13C pyruvate is a non-radioactive substance with potential usage in the diagnostic imaging of tumors. Hyperpolarized 13C pyruvate MRI may help doctors determine non-invasively whether a kidney tumor is a benign tumor or cancer, and if cancer, how aggressive it is. This may help doctors and participants with renal tumors in the future to make better treatment decisions.

PRIMARY OBJECTIVES:

1. To investigate the association between HP 13C pyruvate-to-lactate conversion (peak lactate/pyruvate ratio, lactate /pyruvate AUC (area under the curve), the apparent rate constant (kPL) and renal tumor histology (benign renal tumors versus RCCs) and grade (low vs high grade in cases of RCCs).

SECONDARY OBJECTIVES:

1. To determine the reproducibility of HP 13C pyruvate MRI in participants who undergo an optional second HP 13C pyruvate MRI.
2. To investigate the association between HP 13 C pyruvate-to-lactate conversion and tumor growth rate in participants who are deemed clinically appropriate for active surveillance for their renal tumors.
3. To determine the safety of HP 13C pyruvate in renal tumor participants.

EXPLORATORY OBJECTIVES:

1. To investigate the association between HP markers (peak lactate/pyruvate, lactate /pyruvate AUC, kPL) and tissue-based markers including Lactate Dehydrogenase A (LDHA) expression and lactate dehydrogenase (LDH) activity, and Monocarboxylate transporter 4 (MCT4) expression on tumor tissues from surgical specimen or from biopsy.
2. To explore the correlation between HP 13C pyruvate-to-lactate conversion (peak lactate/pyruvate ratio, lactate/pyruvate AUC (area under the curve), the apparent rate constant kPL) and 13C urea tissue perfusion in the kidneys and renal tumors.

OUTLINE:

Participants receive HP 13C pyruvate intravenously (IV) or a combination of co-polarized 13C pyruvate and 13C, 15N2 Labeled urea (15N2) and then undergo MRI scan 1-2 minutes post injection

Participants may receive an optional second HP 13C pyruvate intravenously (IV) or a combination of hyperpolarized 13C pyruvate and 13C, 15N2 urea injection and undergo 13C pyruvate MRI scan 15 to 30 minutes following completion of the first scan during the same imaging session, or the participant can return for a separate visit within 1-2 weeks from the first MRI to receive the optional second scan.

After completion of study treatment, participants are followed up 30 minutes.

Hyperpolarized 13C Pyruvate MRI Scan in Predicting Tumor Aggressiveness in Patients With Renal Tumors

Hyperpolarized 13C Pyruvate Metabolic MRI to Predict Renal Tumor Aggressiveness

Descriptive statistics (mean, median, standard deviation, distribution, etc) of the metabolism measures will be calculated. The investigators will use a tree-based cross-validated Classification \& Regression Trees (CART) model for predicting benign renal tumors vs. low grade renal cell carcinoma (RCC) vs. high grade RCCs based on the HP 13C pyruvate metabolic data

Descriptive statistics (mean, median, standard deviation, distribution, etc) of the metabolism measures will be calculated. We will use a tree-based cross-validated Classification \& Regression Trees (CART) model for predicting benign renal tumors vs. low grade RCCs vs. high grade RCCs based on the HP 13C pyruvate metabolic data;

Descriptive statistics (mean, median, standard deviation, distribution, etc) of the metabolism measures will be calculated. The investigators will use a tree-based cross-validated Classification \& Regression Trees (CART) model for predicting benign renal tumors vs. low grade RCCs vs. high grade RCCs based on the HP 13C pyruvate metabolic data;

For participants who obtained an optional second HP 13 C pyruvate magnetic resonance imaging (MRI), intraclass correlation coefficient (ICC) will be used to estimate the intra-subject agreement. ICCs will be obtained from a one-way analysis of variance model based on 2 serial measurements per subject. The ICC ranges from 0 to 1. An ICC close to 1 indicates high similarity between values from the same group. An ICC close to zero means that values from the same group are not similar. The results will be presented with a 95% confidence interval.

For participants who are in active surveillance for their renal tumors, MRI findings will be compared to tumor growth rate while on active surveillance. Correlations of HP 13C metabolism measures to change in tumor size on subsequent surveillance imaging studies will be performed using Pearson or rank correlation.

Assessment of the occurrence of clinically significant changes in safety variables from baseline. Safety endpoints include monitoring for the occurrence of treatment-emergent AEs. Toxicities will be graded using the National Cancer Institute (NCI) Common Terminology (Toxicity) Criteria for Adverse Events (CTCAE) version 4.0.

American Cancer Society, Inc.

Zhen Wang, MD

Professor of Radiology

Spots Global Cancer Trial Database for benign kidney neoplasm