Abstract
There is an unmet need for noninvasive surrogate markers that can help identify premalignant lesions across different tumor types. Here we describe the methodology and technical details of protocols employed for in vivo 13C pyruvate metabolic imaging experiments. The goal of the method described is to identify and understand metabolic changes, to enable detection of pancreatic premalignant lesions, as a proof of concept of the high sensitivity of this imaging modality.
Keywords: Hyperpolarization, Metabolic imaging, MRI, 13C, HP-MR, Premalignancy, Early detection, Assessment of preventive responses
1. Introduction
It remains a great challenge in clinical oncology to detect cancer at the early stages [1–3]. There is an unmet need to develop the capability to noninvasively detect premalignant lesions so cancer preventive strategies can be successfully implemented. Hyperpolarized magnetic resonance (HP-MR) has become a major new imaging modality by providing valuable information on previously inaccessible aspects of biological processes by detecting endogenous, nontoxic 13C-labeled probes that can monitor enzymatic conversions through key biochemical pathways [4–6]. Clinical trials with this modality are ongoing at several centers all over the world [7]. HP-MR provides an exciting opportunity to identify and understand early metabolic aberrations and to enable the detection of premalignant lesions for which no methods of detection currently exist.
In conventional magnetic resonance imaging (MRI), the images of the body tissues are captured due to signal from water which is abundant in the body [8]. The other organic molecules in the body can also be captured using 1H magnetic resonance spectroscopy (MRS). The physiological concentrations of other bio molecules in the body tissues is low, so it is difficult to image even with 1H nuclei which is 99.98% abundant [9]. Furthermore, imaging less abundant nuclei in the molecules in the body and nuclei with smaller gyromagnetic ratio are even more difficult; however, this issue of sensitivity is addressed by HP-MR. HP-MR is a novel and developing technology that can enhance the probe signal over ~10,000-fold compared to its thermal equilibrium signal [10–13]. There are four established methods for generating hyperpolarized probes: (1) dynamic nuclear polarization (DNP) [10, 13], (2) optical pumping for hyperpolarizing noble gases [14], (3) the “brute force” approach [15], and (4) parahydrogen and synthesis allow dramatically enhanced nuclear alignment (PASADENA), which includes parahydrogen-induced polarization (PHIP) and parahydrogen-based signal amplification by reversible exchange (SABRE) [16]. The detailed description of the hyperpolarization methods can be found elsewhere [17]. DNP is the most common and widely used method for hyperpolarization. In the dynamic nuclear polarization process, magnetization is transferred from the unpaired electrons generally from added radicals to the nucleus of probe under the microwave irradiation at low temperature of 1.5 K and high magnetic field as 3 T [17]. The development of dissolution-DNP technique in 2003 [4] has opened a new avenue to perform in vivo imaging, where the fate of metabolites containing low abundant nuclei such as 13C and 15N can be detected and tracked [18]. The routine dissolution DNP instrument employed which carries out hyperpolarization in the preclinical setting is HyperSense (Oxford Instruments, UK) and is shown in Fig. 1a. A clinical polarizer is available for performing real-time metabolic imaging in humans (SPINLab, GE Healthcare, USA) and over 20 such polarizers have been installed around the world [19].
The most commonly used hyperpolarized probes are 13C enriched, either uniformly or selectively enriched, to track the pathways of interest. 13C-enriched molecules have comparatively longer relaxation time of 13C nucleus compared to other nuclei. The high 13C signal of the HP probes and the fact hyperpolarized signal is carried over in the products of biochemical transformation allow investigators to interrogate biochemical reactions in real time. The probes are usually part of the biochemical reactions such as energy metabolism (glucose and pyruvate) and Krebs’s cycle (succinate and glutamate). So far, HP-MR experiments have been executed mostly in preclinical models and is not routinely used in the clinic. However, several clinical trials have been performed or are currently ongoing [5]. HP-MR in preclinical setting involves injecting the hyperpolarized probe—dissolved in a biocompatible solvent—into the tail vein of rodents. The probe diffuses through the blood to populate in well-perfused body tissues. After entering the extracellular fluid, the molecule is taken up into the cells with the help of endogenous transporters. All of these processes must happen before the HP signal decays, which is determined by the decay time (longitudinal relaxation time T1) of the HP probe. For most probes, T1 ranges from 15 to 20 s to about 2 min. Hence, it is important to dissolve the probe in the solvent immediately and inject into the animals quickly to avoid the hyperpolarization signal loss due to relaxation. The specially designed proton volume coil and 13C surface coil is used to receive the signal from the enriched HP 13C probe in vivo.
The utility of HP-MR is not only simply tracking the probe diffusing inside the body but also its ability to visualize downstream metabolic products of injected probes converted by endogenous enzymes [5]. We can quantify in vivo metabolic flux in real time alongside metabolic imaging. However, all process must happen within the time-frame of longitudinal relaxation time (T1) of HP probe. Therefore, only fast biochemical reactions can be visualized.
Glycolytic breakdown of glucose is a multi-step process that eventually yields pyruvate in the cytosol. Pyruvate is the final breakdown product of glucose in glycolysis and is preferably converted to lactate in cancer cells. The high dependence of the cancer cells on glucose and glycolysis is often referred to as the Warburg effect after the initial discovery of this dependence by Dr. Otto Warburg [20]. Hence, pyruvate is a commonly used probe to interrogate abrupt energy metabolism in cancer. Another key point is pyruvate is taken up rapidly by the pyruvate transporters [21]. In the cytosol the HP [1-13C] pyruvate has four important fates [22]: (1) conversion to lactate, (2) conversion to alanine, (3) transport into mitochondria and converted to carbon dioxide, and (4) conversion to Acetyl-CoA to be utilized in the Krebs/Tricarboxylic Acid (TCA) cycle (Fig. 2). When HP-pyruvate is injected into an animal, the signal is recorded from an anatomical imaging slice placed in the tissue of interest. An example of a hyperpolarized metabolic imaging spectrum is shown in Fig. 3. The flux from pyruvate to a downstream metabolite can be visualized and evaluated using either TopSpin (Bruker BioSpin GmbH, Ettingen, Germany) or MestReNova (Mestrelab Research, Santiago, Spain), in either of the two following ways:
Ratio of signals integrated over time (e.g. lactate/pyruvate, alanine/lactate etc.) [23].
Kp (according to the Bolch equation) KPL pyr → lactate, KPA pyr → alanine [24].
Since pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive cancer types with no efficacious methodology for early diagnosis, it was chosen to reflect the utility of this methodology. PDAC tumors can be removed by surgery, if detected early [25]. There is unequivocal evidence that diagnosis of PDAC at earlier, resectable stages has a profoundly favorable impact on prognosis [1]. The 5-year survival of resected PDAC is as high as ~25–30% in major treatment centers, increasing to 30–60% for tumors <2 cm, and as high as 75% for minute lesions under 10 mm in size [26, 27]. Unfortunately, most patients are diagnosed at a late stage, when the tumor has advanced into local blood vessels, and other body organs, and is no longer excisable. Thus, there is an urgent call to develop non-invasive imaging modalities for early detection of PDAC, especially in high-risk patients those with familial pre-disposition, long-standing diabetes, or chronic pancreatitis [28].
PDAC is considered as a paradigm of genetically defined metabolic abnormalities. Genetic mutations trigger specific signaling pathways that are associated with metabolic transformations, which can potentially be detected by hyperpolarization methods with a high degree of sensitivity.
Recently, it has reported by Dutta et al. that aggressiveness of pancreatic cancer is directly correlated to pyruvate-to-lactate conversion using HP-MR and ex vivo 1H NMR spectroscopy in a panel of well annotated patient-derived PDAC xenograft (PDX) mouse models [29]. Seminal work by Serrao et al. demonstrated a method for early detection of PanINs (pancreatic intraepithelial neoplasia) in murine models using HP-MR with [1-13C] pyruvate probe. The study used genetically engineered KPC (K-Ras and p53 mutations) and KC (K-Ras mutation) mice, which develop PanIN spontaneously. In addition, wild-type mice treated with caerulein injections to induce acute pancreatitis that developed into PanINs in later stage were also employed in the HP-MR study. Animal models were imaged using HP [1-13C] pyruvate at different stages of development from PanIN to PDAC precursor lesions, and the fluxes from [1-13C] pyruvate to lactate and alanine were measured [23]. It is important to note that the pyruvate and lactate signals obtained here are not from the endogenous metabolites but rather from the injected pyruvate probe and the lactate derived from the probe. The information of pyruvate-to-lactate flux is valuable because it can be an indicator of the extent of glycolysis manifested in the tissue slice. The results from individual mice showed a decreasing alanine-to-lactate ratio with progression of disease from normal tissue to pancreatitis to low-grade PanIN to high-grade PanIN and finally to PDAC. Mice from all three groups follow this disease progression, although with disparate timelines. The metabolic flux pattern observed is correlated with increasing Lactate Dehydrogenase (LDH) activity and decreasing Alanine Transaminase (ALT) activity. The metabolic flux from pyruvate to lactate and alanine is minimal in normal pancreatic tissue and progressively increases with disease progression. This technique can be used to create three-dimensional metabolic maps of the pancreas to identify the extent of cancerous growth. This work was extended by Dutta et al. in our laboratories to demonstrate that real-time conversion kinetic rate constants (KPA and KPL) can be used as metabolic imaging biomarkers of premalignant pancreatic lesions [30]. Recently, a pilot study reported the feasibility of HP [1-13C] pyruvate MRI in PDAC patients, and no adverse effect was observed after bolus injection of pyruvate [31]. These studies reveal the potential of HP-pyruvate’s conversion to lactate to be used in the early detection of PDAC.
In summary, hyperpolarization allows for high sensitivity enhancement relative to conventional magnetic resonance and is a nontoxic, nonradioactive method for assessing tissue metabolism and other physiologic properties. Here we delineate the methods and protocols used for hyperpolarized pyruvate imaging in murine models for detection of premalignant lesions. This methodology would be useful not for only for early detection but also to determine efficacy of immunopreventive strategies implemented at early stages to assess for lesions regression.
2. Materials
2.1. Genetically Engineered Mice
Genetically engineered mouse (GEM) models that give rise to premalignant lesions and aged-matched litter mate control animals should be employed in the study. We used the conditional P48:Cre; LSL-KRASG12D (KC) mice and as control, we used P48:Cre littermates sacrificed at the same time than experimental mice (age matched).
All animal experiments must be conducted in compliance with the National Institutes of Health (NIH) guidelines for animal research and protocols must be approved by the Institutional Animal Care Committee.
2.2. Hyperpolarizing [1-13C] Pyruvate
OX063 trityl radical (GE Healthcare).
Neat [1-13C] pyruvic acid (Isotech, Sigma-Aldrich and/or Cambridge Isotopes Laboratories).
Gd3+ (Magnevist, Bayer healthcare, Wayne, NJ).
DNP HyperSense polarizer (Oxford Instruments).
4-(2-Hydroxyethyl)-1-piperazineethanesulfonic acid.
NaCl.
Ethylenediaminetetraacetic acid (EDTA).
2.3. Magnetic Resonance Spectroscopy
1H/13C volume coil (OD: 75 mm, ID:40 mm, Bruker BioSpin MRI GmbH, Ettingen, Germany).
13C surface coil (OD: 20 mm, ID:15 mm, Doty Scientific Inc., Columbia, SC).
7 T Bruker Biospec horizontal bore MR scanner (Bruker BioSpin MRI GmbH, Ettingen, Germany).
MATLAB (MathWorks Inc., Natick, MA).
TopSpin (Bruker BioSpin GmbH, Ettingen, Germany).
MestReNova (Mestrelab Research, Santiago, Spain).
3. Methods
3.1. Hyperpolarization Methodology
Sample Preparation: OX063 trityl radical is mixed with neat [1-13C] pyruvic acid to a concentration of 15 mM. 20 μL of this solution is dissolved with 0.4 μL of 50 mM Gd3+ and inserted into the sample cup.
Sample Insertion: The sample cup is loaded into a DNP commercial HyperSense polarizer (Fig. 1a) and irradiated at a microwave frequency of 94.100 GHz for 40–45 min at very low temperature ~1.5 K and high magnetic field 3.35 T. The sample starts to polarize in this environment and reaches 99.9% polarization (solid-state polarization plateau) within this time range.
Sample Retrieval and Dissolution for Injection: After polarizing the pyruvate sample at solid state, the automated dissolution process brings the sample as injectable solution at 37 °C and neutral pH 7.6. In a typical experiment, 4 mL buffer solution containing 40 mM TRIS (7.6 pH preset), 80 mM NaOH, 0.1 g/L EDTA, and 50 mM NaCl is loaded into the sample recovery chamber which is heated up to 165 °C. This solution hits the super-cool solid pyruvate sample at high pressure, dissolves at 37 °C, and is ready for injection.
Cleaning the dissolution stick and sample cup for the next dissolution: 4 mL dissolution media (1% EDTA/water) is flushed out twice using the HyperSense automated sample cup cleaning module.
3.2. MRI and MRS
Setting up the MRI machine for anatomic and 13C MR: All imaging and spectroscopy is performed with either a dual tuned 1H/13C volume coil (OD: 75 mm, ID:40 mm) or in a combination 1H volume coil with a transmit/receive13C surface coil (OD: 20 mm, ID:15 mm) placed directly on the region of interest of the mouse femur in a 7 T Bruker Biospec horizontal bore MR scanner (Fig. 1b).
Animal Preparation: Prior to hyperpolarization experiments, animals are anesthetized with 3% isoflurane mixed with oxygen and then maintained at 0.5–1% isoflurane and a tail vein catheter is placed to deliver the HP pyruvate solution. Animals are placed on a heated pad, and their respiration and heart rate are monitored in a computerized system during imaging procedures.
Imaging Procedure: Proton anatomic images are acquired using a multi-slice T2-weighted RARE (Rapid Acquisition with Relaxation Enhancement) sequence. Images of different view/planes including axial, coronal, and sagittal are acquired to identify the best location of the tumors or region of interest on the mice (see Notes 1–3). A series of slice-selective 13C spectra (field-of-view 40 × 40 mm, slice-thickness 8–10 mm) are collected right after injection of HP [1-13C] pyruvate using spFLASH sequence. A total of 90 transients are acquired with a time delay between each transient being 2 s (total time 3 min). Each transient utilized a 15–20° flip angle excitation pulse (gauss pulse) and 2048 data points (see Note 4).
- Post-acquisition Processing: Data was processed in MATLAB (MathWorks Inc., Natick, MA), TopSpin (Bruker BioSpin GmbH, Ettingen, Germany), or MestReNova (Mestrelab Research, Santiago, Spain). The dynamic spectra are manually phased and baseline-corrected, and line-broadening is applied (10–15 Hz). The area under the spectral peaks for pyruvate and lactate are integrated over the whole array. Normalized lactate (nLac) ratio is calculated as lactate over the sum of pyruvate and lactate signals [25] as by this equation.
The metabolic flux ratios of pyruvate to lactate can also be determined using a unidirectional model where the apparent rate constant KPyr→Lact can be determined.
4. Notes
The imaging parameters of the T2-weighted scans are: echo time TE = 17 ms, repetition time TR = 2.5 s, 4 cm field of view, 256 μm × 256 μm in-plane resolution, ten to fifteen 1–1.5 mm slices, and 4 averages.
-
For orthotopic pancreatic cancer models, we place the spectroscopic slice cutting through the pancreas, and covering the entire abdominal section. This means that the pyruvate and lactate signals acquired are derived from both the pancreas and the surrounding tissue. However, the surrounding tissue and the normal pancreatic tissue do not produce significant lactate signal, and hence, the lactate signal acquired is assumed to be primarily from the cancerous tissue only. This choice of whole-abdomen imaging is due to lack of a sequence that could focus the image on the pancreas.
With the heterotopic (flank tumors) of pancreatic cancer, a challenge to imaging is posed by necrotic cores of large tumors (>15 mm diameter). Hence, we usually run our protocols on small (size ~7.5 mm diameter), non-necrotic tumors and by placing the slice through the non-necrotic periphery (Fig. 2).
While taking proton images (T2-weighted Rapid Acquisition with Relaxation Enhancement (RARE) sequence) to locate pancreas of animal, keep trigger on and adjust animal breathing such that breaths/minute should be less than repetition time (TR) to avoid motion artifacts in the image.
A small 8 M 13C-urea phantom doped with gadolinium-DPTA is placed in each mouse experiment for chemical shift referencing.
Acknowledgments
This work was supported by grants from the National Institutes of Health (P50CA094056, U01CA214263, R01CA218004, U54CA151668, and R21CA185536 to P.B.), an Institutional Research Grant (to P.B.), Pancreatic Cancer Action Network (PANCAN) (16-65-BHAT to P.B., F.M.), Duncan Family Institute (to P.B.), NCI DCP PREVENT Preclinical Drug Development Program: Preclinical Efficacy and Intermediate Biomarkers; Contract 75N91019D00021 (to P.B., F.M.),startup grants from the University of Texas MD Anderson Cancer Center (to P.B., F. M.), Cancer Prevention & Research Institute of Texas (CPRIT) Award (RP180164 to P.B. and RR180012 and RP200526 to S.S.) and generous philanthropic contributions to Koch Foundation Genitourinary Medical Oncology Funds (to P.B.). This work was also supported by a CPRIT Research Training Grant Award (RP170067 to T.C.S.), National Institutes of Health National Cancer Institute Training Grant Award (2T32CA096520 to D. B.), and a Gulf Coast Consortia/Keck Center CCBTP postdoctoral fellowship (CPRIT RP170593 to S.P.). M.T. acknowledges support from the Neubauer Family Foundation. We also thank Drs. Richard Behringer and Rachel Miller, Instructors of G&E Scientific Writing Course at MD Anderson Cancer Center. This work also was supported by the National Institutes of Health/NCI Cancer Center Support Grant under award number P30 CA016672 to MD Anderson Cancer Center.
Footnotes
Conflict of interest: The authors declare no conflict of interest.
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