Hsin-Yu Chen1, Ivan de Kouchkovsky2, Hao G. Nguyen2, Bradley A. Stohr2, Daniel Gebrezgiabhier1, Romelyn Delos Santos1, Lucas Carvajal1, Michael A. Ohliger1, Zhen J. Wang1, Hecong Qin1, Xiaoxi Liu1, Jeffry P. Simko2, Jeremy W. Gordon1, Peder E.Z. Larson1, Robert A. Bok1, Rahul Aggarwal2, John Kurhanewicz1, and Daniel B. Vigneron1
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, United States
Synopsis
Keywords: Prostate, Cancer
The first-in-human hyperpolarized [1-
13C]pyruvate+[
13C,
15N
2]urea
dual-agent MRI demonstrated the safety and feasibility of simultaneous
characterization of prostate cancer metabolism and blood flow as a two-minute
addition to the standard
1H-multiparametric MRI. Metabolism-perfusion
mismatch (i.e. elevated pyruvate-lactate conversion and decreased urea
perfusion) in subregions of the high-grade prostate tumor was in agreement with
the histopathological and immunochemical markers that reflected lethal phenotypes
and their associated hypoxic tumor microenvironment. Correlative analysis of urea
and Gadolinium-derived pharmacokinetic parameters found low correlation between
the two, which indicates that HP
13C urea’s unique contrast
mechanism offers independent information inaccessible through conventional
1H
DCE-MRI.
Purpose
Prostate cancer impacts 1 out of 6 US men1, but many with low-risk disease suffer from excess morbidity associated with overdiagnosis and overtreatment, and there is an unmet clinical need to distinguish lethal from indolent cancer forms. Preclinical hyperpolarized (HP) 13C pyruvate+urea MRI revealed that significantly elevated pyruvate-lactate metabolism and decreased urea perfusion, reflective of hypoxia response signaling, are hallmarks of aggressive (high-grade) prostate cancer phenotypes in mice2,3. This first-in-human research explored the safety and feasibility of simultaneous metabolism and perfusion/permeability characterization using HP [1-13C]pyruvate+[13C,15N2]urea dual-agent MRI in a patient with histologically-confirmed high-grade prostate cancer. Correlative analysis was performed between HP 13C-1H pharmacokinetic parameters and histopathological/immunochemical markers.Methods
Patient
Characteristics: A patient
with biopsy-confirmed high-grade prostate cancer (Gleason 4+3, PSA = 7.7) was
enrolled via an IRB-approved protocol (NCT02526368). Key eligibility criteria include
biopsy-confirmed prostate cancer, planned radical prostatectomy, and ECOG status
of 0 or 1.
Hyperpolarized-13C
Exam: GMP [1-13C]pyruvic
acid and [13C,15N2]urea were co-polarized in a
5T SpinLab (GE Healthcare, Chicago IL) polarizer for 3 hours4. The
dissolution yielded 125/25 mM pyruvate/urea solution with 36.5% polarization
and 0.8μM residual trityl radical. Imaging was conducted on a clinical 3T scanner
(MR750, GE Healthcare) using a clamshell 13C transmitter and a
dual-element 1H-13C endorectal receiver5.
Pharmaceutical release followed QC verification of IND-approved safety criteria4.
Post-release quality analysis used a high-field spectrometer (Varian INOVA 500).
Imaging
Sequence: Time-resolved
pyruvate-lactate imaging used a 2D multislice single-shot spiral sequence (TR =80ms)
with 7x7x11.6mm spatial resolution6, whereas urea used a 3D
stack-of-spiral balanced-SSFP sequence (TR = 12.3ms, α = 50°)
at 9x9x11.6mm resolution7,8. Scan time window was 52s with 2.6s
temporal resolution.
Data Processing and
Analysis: Quantitative
1H-DCE parameters (kTRANS, ve) were calculated
with 3D Slicer’s PkModeling toolbox9, using a femoral artery ROI in
the prostate plane as arterial input. Semi-quantitative DCE parameters (peak
height, slope, washout) were derived using an in-house pipeline10,
and those of urea were calculated in MATLAB. Pairwise Pearson correlation used voxels
within the prostate ROI, with DCE parametric maps downsampled to 13C
resolution. Pyruvate-to-lactate conversion rate kPL was calculated
using an inputless two-site model11. Spatial distributions of all 13C
tracers were corrected for receiver coil sensitivity profile.Results and Discussions
The
first-in-human co-hyperpolarized [13C,15N2]
urea and [1-13C]pyruvate as a two-minute addition to 1H multiparametric
MRI of prostate cancer was safe and feasible without adverse events. The novel workflow
(Figure 1) features pharmaceutical compounding of 13C-labelled
pyruvate+urea4, specialized MR coils5, pulse sequences6-8,
quantification of novel biomarkers, along with QC and release criteria for co-polarized
HP agents4.
Surgical
pathology from radical prostatectomy identified Gleason 4+5 tumor in the left
posterior mid-apex peripheral zone (PZ), confirming the high-risk diagnosis
(UCSF CAPRA score 5, Decipher 0.84)12. The Gleason pattern 5 consisted
of solid sheets of cells and comedonecrosis.
Composite
biomarker kPL/ureaAUC ratio (kUR) looks at increased
pyruvate metabolism coupled with decreased urea perfusion. This
metabolism-perfusion mismatch is a signature of the hypoxia-driven lethal,
treatment-resistant prostate tumor phenotypes2,3,13,14, where overdrive
of hypoxia-induced factor Hif1α signaling pathway leads to high glycolysis (Warburg
effect) and hyperproliferation15,16. Heterogeneous kUR (Figure 2)
was observed intratumorally with subregions (yellow arrow) as high as 10x the normal-appearing
PZ. Indeed, immunohistochemical analysis identified presence of
comedonecrosis (green arrow, Gleason 5) with significantly stronger lactate
dehydrogenase (LDHA; a direct downstream target of Hif1α upregulated in hypoxic
tumor microenvironment17) immunochemical staining surrounding a
central area of necrosis (red arrow) and within intraductal carcinoma component.
The
semi-quantitative parametric maps (Figure 3) showed focal urea
hyperintensity at the histologically-confirmed left PZ tumor (green arrow), whereas
the central gland BPH nodules had low urea (red arrow), as opposed to 1H-DCE
which had moderate enhancement. Time-resolved urea vs Gd-enhanced T1-weighted
signal in tumor and normal-appearing PZ voxels showed that urea distributed much
more rapidly throughout the tumor than Gadolinium, but also decreased rapidly -
possibly through combined washout and T1-decay mechanisms. General correlation
and pairwise regression diagrams (Figure 4) between urea and DCE
pharmacokinetic biomarkers gave weak correlation (Pearson r2mean
= 0.04, range:0.001-0.17), indicating that HP 13C urea provided
unique, independent perfusion information not accessible through standard 1H
contrast-enhanced MRI.
A possible
explanation for HP 13C urea’s unique contrast mechanism is that urea
is a highly polar, diffusive small-molecule agent that is particularly
sensitive to permeability differences in the microvasculature18,19. Urea
extravasates more rapidly from the highly permeable, leaky angiogenic tumor neovasculature
into the interstitial space, than it does from the highly vascularized
but less permeable benign central gland nodules, analogous to von Morze’s
findings of much higher urea signal levels in the highly permeable mouse tumor
than the poorly permeable brain18. These preliminary findings
warrant future investigations of composite metabolism-perfusion biomarkers in a
larger cohort of patients for early detection of aggressive prostate tumors,
and illustrated the need to develop more sophisticated quantitative modeling of
urea perfusion/permeability to fully exploit the wealth of information it has
to offer.Conclusions
This first-in-human
co-hyperpolarized [13C,15N2] urea and [1-13C]pyruvate
+ 1H mpMRI of prostate cancer demonstrated safety and feasibility of
simultaneous characterization of perfusion and metabolism in human malignancies
using hyperpolarized agents. Metabolism-perfusion mismatch detected hypoxia-driven
aggressive cancer subtypes, consistent with pathological/immunochemical findings.
Carbon-13 urea biomarkers provided unique perfusion information inaccessible
through conventional 1H DCE-MRI.Acknowledgements
This work was
supported by grants from the NIH (U01EB026412, R01CA214554, U01CA232320, P41EB013598).
We would like to thank Priscilla Chan, Heather Daniel, Evelyn Escobar, Mary
Frost, Jasmine Hu, Dr. Yaewon Kim, Dr. Philip Lee, Kimberly Okamoto, Dr. Andrew
Riselli, and Dr. James Slater for their help with this research.
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