Abstract
Objective
The dense stroma underlies the drug resistance of pancreatic ductal adenocarcinoma (PDA) and has motivated the development of stroma-directed drugs. Our objective is to test the concept that dynamic contrast-enhanced (DCE) MRI using FDA-approved contrast media, an imaging method sensitive to the tumor microenvironment, can detect early responses to stroma-directed drug.
Experimental Design
Imaging studies were performed in three mouse models exhibiting high desmoplastic reactions: the autochthonous PDA in genetically engineered mice (KPC), an orthotopic model in syngeneic mice and a xenograft model of human PDA in athymic mice. An investigational drug, PEGPH20 (pegvorhyaluronidase alfa), which degrades hyaluronan in the stroma of PDA, was injected alone or in combination with gemcitabine.
Results
At 24 hours after a single injection of PEGPH20, Ktrans, a DCE MRI derived marker that measures how fast a unit volume of contrast media is transferred from capillaries to interstitial space, increased 56% and 50% from baseline in the orthotopic and xenograft tumors respectively, compared to a 4% and 6% decrease in vehicle groups (both P<0.05). Similarly, after three combined treatments, Ktrans in KPC mice increased 54% while it decreased 4% in controls treated with gemcitabine alone (P<0.05). Consistently, after a single injection of PEGPH20, tumor hyaluronan content assessed by immunohistochemistry, was reduced substantially in all three models while drug delivery (measured by paclitaxel accumulation in tumor) was increased by 2.6-fold.
Conclusion
These data demonstrated a DCE-MRI marker, Ktrans, can detect early responses to stroma-directed drug and reveal the sustained effect of combination treatment (PEGPH20+ gemcitabine).
Keywords: Pancreatic ductal adenocarcinoma, desmoplastic stroma, hyaluronan, dynamic contrast enhanced (DCE)-MRI, microvasculature
Introduction
Pancreatic ductal adenocarcinoma (PDA) is a highly lethal cancer with a 5-year survival rate of 6% (1). PDA is characterized by a dense, desmoplastic stroma, populated by proliferating pancreatic stellate cells (PSCs), which deposit an extracellular matrix (ECM) including collagen, proteoglycans, and glycosaminoglycans (for example, hyaluronan or hyaluronic acid, HA). Accumulation of HA, which is highly water-absorbing, results in a significant increase in interstitial fluid pressure (IFP) in the tumor. This hydrostatic pressure leads to the collapse of blood and lymph vessels, and ultimately hypo-perfusion of the tumor (2). The high IFP in combination with a reduced blood vessel density defines a unique tumor microenvironment featuring a profound lack of functional perfusion (3). Contrast-enhanced radiological imaging often presents a hypo-enhanced PDA tumor (4,5) in contrast to hyper-enhanced neuroendocrine pancreatic tumors, which are hypervascular. It has been recognized that this unique tumor microenvironment, where both blood flow and permeability of the microvasculature are reduced, with the consequence that the transport of small molecule drugs across the capillaries is hindered, underlies the chemoresistance in PDA (3,6,7). Besides high IFP, the stroma also harbors an immune-suppressive microenvironment (8). Taken together, the stroma plays an important role in the overall resistance of PDA to treatment; therefore, overcoming this “stromal resistance” has motivated the development of stroma-directed interventions. One barrier to the development and clinical implementation of these drugs is the lack of a robust non-invasive marker that can be used to evaluate the pharmacodynamic effect of the drug, identify responsive patients and guide combination strategies.
Dynamic contrast-enhanced (DCE)-MRI is sensitive to the tumor microenvironment, especially to changes in microvascular function i.e., permeability and perfusion; hence it may provide a clinically translatable, quantitative imaging marker to assess responses to stroma-directed therapies. While its utility to assess antiangiogenic therapies has been examined extensively in the clinic (9), the potential of DCE-MRI for stroma-directed therapy has been proposed only in a couple of pilot studies (10,11). Therefore, to allow a thorough evaluation of this new application of DCE-MRI, extensive animal model work is necessary, and detailed analyses should provide mechanistic insight of the imaging marker. We hypothesized that a DCE-MRI-derived quantitative marker of microvascular function, Ktrans, can detect the early response of the PDA to stroma-specific treatment. In the experimental design, we employed three PDA models including the autochthonous PDA in genetically engineered mice (GEM), an orthotopic model in syngeneic mice and a xenograft model of human PDA in athymic mice. We used an investigational drug, PEGylated recombinant hyaluronidase PH20 (PEGPH20, generic name as pegvorhyaluronidase alfa), which degrades stromal HA and has shown evidence of efficacy in a randomized, multi-center Phase-2 clinical trial of patients with PDA (HALO-202) (12). We examined the effects of a single PEGPH20 injection and in combination with gemcitabine, an active drug for PDA. We corroborated the imaging results with assessments of tumor hyaluronan level and quantitative measurement of drug delivery to the tumor. Our data demonstrated that a quantitative DCE-MRI marker can sensitively detect early responses of PDA to stroma-directed drug and monitor the sustained effect of combination treatment.
Materials and Methods
Materials
PEGPH20, a polyethylene glycol (PEG)-conjugated recombinant human hyaluronidase enzyme that degrades hyaluronan (8), was provided by Halozyme Therapeutics via an institutional material transfer agreement. It was dissolved 3.5 mg/mL in a vehicle (VEH) made of 10 mM histidine and 130 mM sodium chloride (pH 6.5) and an aliquot was diluted in PBS before injection. Human PDA cell line, BxPC-3, was purchased from American Type Culture Collection (ATCC), was authenticated using the Short Tandem Repeat DNA profiling and was tested to be free of mycroplasma by agar culture and Hoechst DNA staining, and was used within 50 passages. An FDA-approved contrast agent for clinical MRI, MultiHance (Bracco Imaging, Princeton, NJ), was diluted (50x) in saline to 10 mM gadolinium (Gd) for injection in mice.
PDA mouse models
All animal procedures were approved by the institutional animal care and use committee (IACUC) of the University of Pennsylvania. A genetically-engineered mouse model harboring a pancreas-specific Cre allele with p53 and Kras mutations referred to as the KPC mouse (13), was maintained at the Mouse Hospital of Pancreatic Cancer Research Center of our institution. KPC mice of both sexes were used in this study. A cell line, 4662-KPC, established from a KPC tumor (14), was used to generate the orthotopic model by injection of 1.25×105 cells into the pancreas of syngeneic C57BL/6 mice (9 weeks old, both sexes, Jackson Lab). A xenograft model was generated in athymic mice (NCR nu/nu, 9 weeks old, both sexes, Charles River) by subcutaneous (subQ) injection of 10-million BxPC-3 cells suspended in 0.1 mL PBS in the hind flank.
DCE-MRI protocol and pharmacokinetic (PK) modeling
MRI studies were performed using a 9.4T DirectDrive® system (Agilent, Palo Alto, CA) interfaced with a 12-cm gradient coil (maximal strength 40 gauss/cm). While under isoflurane anesthesia, the mouse was placed inside a 35-mm ID × 10 cm long quadrature birdcage transceiver coil (M2M, Cleveland, OH). Vital signs including ECG, respiration and core temperature were monitored (SAI Inc, Stonybrook, NY) and the core temperature was maintained at 37±0.2°C by directing warm air into the bore of the magnet. Both T10 (the longitudinal relaxation time of the tissue before contrast agent injection) mapping and DCE series were applied to multiple axial slices (4 to 7): one slice containing the left ventricle (LV) of the heart was used to measure the arterial input function (AIF) from the blood signal while remaining slices were used to span the entire tumor.
T10 was mapped for both the blood (in the left ventricle of the heart) and tumor using an ECG-gated inversion recovery technique described previously (15,16). The DCE series was acquired using an ECG-gated saturation recovery technique to effectively suppress the in-flow effect (15,17). After the acquisition of 10 pre-contrast images, 0.2 mL of the contrast agent was injected in 10 seconds at a constant rate via a tail vein catheter connected to a syringe pump (Harvard Apparatus, Holliston, MA) while data acquisition continued until 80 images (for each slice) were obtained. Acquisition parameters include FOV=32 mm, matrix size = 64×64, effective TR= 2 × heart beat ≈ 200 ms, TE= 3 ms, flip angle = 7 degree (for T10) and 90 degrees for DCE series. During DCE acquisition, the radiofrequency pulse sequence timing was recorded on a micro-controller device and the record was used to correct ECG triggering errors during post-processing. The AIF, DCE series and T10 maps of the tissue were input to a pharmacokinetic model (15,18) using the least squares methods. Pixel-wise parametric maps of Ktrans (the rate constant of transferring unit volume of contrast agent from capillaries to interstitial space, min−1), kep (the rate constant from interstitial space to capillaries, min−1), τi (the intracellular water life time, sec) and Ve (extracellular and extravascular volume fraction, %, Ve =Ktrans/kep) were obtained as modeling output.
Immunostaining
A recombinant hyaluronan-binding probe (HTI-601; Halozyme Therapeutics, San Diego, CA) was applied to paraffin sections of the tumor as described previously (19) and the stained slides were digitized using an Aperio Scanner (Leica Biosystems). The hyaluronan-positive and total pixels were counted in the viable tumor region using the vendor’s software (Aperio Positive Pixel Count Algorithm). Four sections per tumor were used to estimate tumor hyaluronan content by % positive pixels.
Quantification of drug (paclitaxel) delivery to the tumor
At 24 h post PEGPH20 (or VEH) treatment, paclitaxel formulated in Cremophor-EL and ethanol followed by dilution in saline was i.v. infused (30 mg/kg) over a 30-min period; two hours after infusion, the mouse was euthanized, and tumor was harvested. Paclitaxel was extracted from the tumor tissue and quantified by HPLC following a published protocol (20). Briefly, tumor tissue was weighed and homogenized in a 10:1 ratio (v/w) of buffer (10 mM Tris, 1mM EDTA, and 10% (v/v) glycerol, pH =7.4) and tissue. The homogenate was extracted with ethyl acetate (1:2 v/v, homogenate/ethyl acetate) and centrifuged for 15 min at 16,000×g. The supernatant was collected, dried under nitrogen, and reconstituted with acetonitrile/water (75:25 v/v). The solution was filtered (0.2 μm) and analyzed on an HPLC (JASCO, Easton, MD) equipped with a VIVA C18 column (5 μm 250×4.6 mm). The paclitaxel content was estimated using a calibration curve and normalized to the tissue weight.
Data and statistical analysis
Data are presented as mean ± standard deviation (SD). Coefficient of variance (CV = SD/mean) was used to evaluate the repeatability of tissue and blood T10 measurements. Statistical analyses were performed using Prism 6 (GraphPad, San Diego, CA) or SPSS 22 (IBM, New York, NY). In paired studies, the averaged Ktrans, kep, and τi value of the tumor measured at baseline and post treatment from the same group of mice were compared using the Wilcoxon signed-rank test. The percent changes relative to baseline were compared between treatment groups using the Mann-Whitney U test. The level of α was set at 0.05 to evaluate significance. The distribution of pixel-wise Ktrans values of tumors measured at baseline and post-treatment was visualized by histograms that were constructed by calculating frequencies of Ktrans values in each of the 21 bins: bin #1–20 had a fixed bin width of 0.1 min−1 while bin #21 included all Ktrans >2 min−1.
Results
Following the treatment and imaging schedule in Fig 1A–C, we first evaluated whether MRI can detect an early response to stroma-directed drug. MRI was performed at baseline and 24 h after a single i.v. injection of PEGPH20 (1 mg/kg) or vehicle in mice bearing orthotopic tumor (4662-KPC) or human PDA xenograft. For the orthotopic model, mice were studied at 3–4 weeks after tumor inoculation with mean tumor size of 255 mm2 (61–630 mm2) while for the xenograft model, 6–8 weeks after inoculation with mean tumor size 294 mm2 (range: 133–452 mm2). To evaluate DCE-MRI responses to PEGPH20 plus gemcitabine, KPC mice were enrolled at 13–27 weeks after birth with mean tumor size 175 mm2 (50–260 mm2). KPC mice received PEGPH20 (or vehicle) on day 0, 7, and 14 and gemcitabine (50 mg/kg iv) on day 1, 8 and 15. MRI was performed at baseline and again 1–2 days after the treatment was completed.
Ktrans responds to single or multiple injections of PEGPH20 and to combination treatments
As shown in Fig 1D, tumor was manually defined on T10 map; pixel-wise dynamic MR signal in the tumor was fit into a PK model with the knowledge of input function (AIF) and T10 to derive parameter maps including Ktrans. The sensitivity of Ktrans was tested by performing DCE-MRI at 24 h after a single injection of PEGPH20: the timing coincided with peak depletion of tumor-HA reported earlier (21). Paired data revealed a consistent increase of Ktrans in both orthotopic (Fig 2A) and human PDA xenograft model (Fig 2B). In comparison, in most vehicle-treated tumors, Ktrans remained unchanged or decreased. In average, Ktrans increased 56% from baseline in the orthotopic tumors, and 50% in the xenograft model (P <0.05 for both models, Fig 2D–E). The rate constant, kep, also exhibited a large increase after PEGPH20 treatment; however, variations in kep changes were greater than those in Ktrans.
To test responses to repeated injections, three mice were injected with PEGPH20 weekly for 3 weeks. The paired Ktrans values revealed a substantial increase 24 h after PEGPH20 injection from the baseline, while partial recovery (reduction of Ktrans) was observed between injections (Supplemental Fig 1). The pattern of Ktrans change is consistent with the reversible degradation of tumor hyaluronan by PEGPH20 (22).
Since stroma-directed drugs are combined with gemcitabine in clinical trials, we further tested whether DCE-MRI can robustly detect changes resulted from combination treatments (Fig 1C). After three treatments of PEGPH20 + gemcitabine, Ktrans in KPC tumors increased 54% from baseline compared to 4% decrease in vehicle + gemcitabine group (Fig 2C, F), suggesting that PEGPH20+gemcitabine treatments led to a sustained improvement of perfusion. Representative Ktrans maps at baseline and after PEGPH20 treatment are shown for all three models (Fig 2G–L). The pixel-wise parametric maps allowed assessment of spatial heterogeneity of the Ktrans value across the tumor before and after treatment.
Changes of Ktrans distribution in response to PEGPH20 and combined treatment
To gain further insights of how the three models may differ in their intrinsic vascular characteristics and responses to stromal therapy, we analyzed the distribution of Ktrans values using a histogram approach, where pixel-wise Ktrans values were pooled from individual tumors in each group. Of the three models at baseline, KPC had the lowest frequency in the lowest bin (0–0.1 min−1) of Ktrans (Fig 3A–C). In the xenograft model, Ktrans distribution was relatively narrower and shifted toward the left compared to the other models. These findings revealed distinct microvascular function (i.e., the xenograft has the lowest perfusion/permeability while the KPC model the highest), likely determined by their location (subQ vs. orthotopic) and the nature of tumor development (spontaneous vs. implanted).
In response to a single injection of PEGPH20, the orthotopic model showed a remarkable redistribution of Ktrans (red), which was right-shifted relative to the baseline (black) or to vehicle treatment (blue). The bins representing relatively high Ktrans values (0.5–1.1 min−1) whose frequency increased 50% or more from baseline were marked by # in Fig 3A, indicating increased perfusion/permeability in response to treatment. In comparison, Ktrans redistribution from the xenograft model (Fig 3B) was more limited as there were fewer # marked bins and lower Ktrans values these bins represent (0.5–0.7 min−1). After three PEGPH20+ Gemcitabine treatments, Ktrans distribution in KPC tumor exhibited a right-shift, featuring a large increase of Ktrans in bins ranging from 1.0 to 1.5 min−1 and ≥ 2.1 min−1 (marked by #, Fig 3C). This data suggests that improvement of microvascular function (Ktrans) was sustained by stromal intervention combined with gemcitabine.
Repeatability of DCE-MRI protocol
To reduce data variability, we standardized the DCE-MRI protocol, including using constant Gd concentration (10 mM), volume and rate of injection via a syringe pump. Vital signs were maintained at physiological level throughout the imaging session. Consequently, a good reproducibility of the protocol was obtained: longitudinal relaxation time (T10) measured from the blood and tumor in all three models revealed low CV (coefficient of variance = SD/mean) of 9% and 10% respectively at baseline (n=23). However, neither blood nor tumor T10 was sensitive to PEGPH20 or combined treatment (supplemental Fig 2A–C). Since the clearance of the contrast media takes time, it is not feasible to perform two DCE-MRI sessions in same day to assess the repeatability of Ktrans. Therefore, we evaluated the VEH-treated mice in paired-study separated by 24 h (Fig 2A–B). Despite one outlier in Fig 2A, the mean changes of Ktrans over 24 h were quite small (4–6%) (Fig 2D–E), suggesting that the Ktrans measurement is relatively robust.
Immunohistochemistry and quantitative measurement of drug delivery to corroborate imaging findings
In all three models, immunostaining revealed a remarkable accumulation of HA in the tumor of VEH-treated mice and dramatic reduction of HA 24 h after a single injection of PEGPH20 (Fig 4A–F). By counting the % of HA-positive pixels in the viable tumor regions, a significant difference of HA-content was found between PEGPH20 versus VEH treated tumors (Fig 4G). However, the xenograft model has higher HA level than other models after treatment – this is consistent with the lower post-treatment Ktrans values (mean =0.318/min) compared to orthotopic (mean =0.639/min) and KPC (mean =0.608/min) model (Fig 2A–C), suggesting that this model was less responsive to stromal intervention.
To test whether the increase in Ktrans (from DCE-MRI) was corroborated by increased drug penetration to the tumor bed, we infused paclitaxel in mice bearing orthotopic PDA at 24 hours after a single injection of PEGPH20 and analyzed tumor tissues by HPLC. Our results demonstrated that PEGPH20 treatment resulted in > 2-fold greater paclitaxel accumulation in the tumor (Fig 5 and supplemental Fig 3), consistent with improved perfusion/permeability revealed by Ktrans results.
Discussion
The unique tumor microenvironment presented by the fibroinflammatory stroma in PDA not only promotes tumor progression but also underlies resistance to treatment. Conflicting results may reflect the complexity of these interactions, since genetic ablation of stromal fibroblasts or the sonic hedgehog (SHH) pathway appeared to enhance tumor aggressiveness (23). Conversely, reversal of desmoplastic stroma by stroma-directed drugs including PEGPH20, vitamin-D analogs (24), SHH inhibitors (25,26) and CD40 agonist antibody (27) have shown promise to overcome gemcitabine resistance, and to extend the survival of KPC mice. Importantly, evidence from clinical trials of PEGPH20 (12) and CD40 (27) suggests that stroma-directed approaches lead to more effective management of PDA. Strikingly, drugs targeting different stromal components or signals induce similar changes in the microvasculature. For example, PEGPH20 selectively degrades HA in the extracellular matrix (2,21), whereas calcitriol/paricalcitol activates the vitamin-D receptors on pancreatic stellate cells (24,28). Both drugs, however, have been shown to improve microvascular function and penetration of small molecule drugs into the tumor (21,24,28,29). Considering that microvasculature is an integral part of the stroma, the converging effect of stroma-directed drugs is not surprising but suggests that an imaging marker sensitive to microvascular function may have general application for various stroma-directed drugs. To date, most DCE-MRI studies have been applied to assess antivascular therapies, which induce a decrease in Ktrans when the tumor responds positively (9,30). In contrast, stroma-directed therapy induced an increase in Ktrans, resulting in a more favorable dynamic range and sensitivity of DCE-MRI in this new application, given that PDA is poorly perfused before treatment.
A major effect of PEGPH20 on tumor stroma is to degrade extracellular HA, leading to relief of IFP and reopening of otherwise collapsed microvasculature (2,21). The improvement of vascular function was captured by DCE-MRI through the Ktrans metric. Indeed, Ktrans elevation was detected as early as 24 hours after a single injection of PEGPH20 (Fig 2), after repeated weekly injection (SI Fig 1), as well as after three combined (PEGPH20 + Gem) treatments (Fig 2). Increase of Ktrans was corroborated with reductions of tumor HA level in all three, HA-accumulating PDA models, including autochthonous, orthotopic and xenograft model. Taken together, the effects of PEGPH20 and treatment-induced DCE-MRI changes were robustly achieved in a variety of stroma-dense tumors. This observation bolsters confidence that the technique may demonstrate applicability in human trials as well. In clinical trials of PEGPH20, the patients’ HA status of the tumor was assessed by endoscopic ultrasound guided biopsy, which cannot sample the entire tumor and is limited in robustness. Validation of DCE-MRI marker would provide a non-invasive, quantitative approach to evaluate the stromal HA level of the entire tumor mass.
Ktrans represents the combined contribution of vascular permeability and perfusion instead of measuring one or the other. This feature is inherent with Ktrans obtained using FDA-approved small molecule Gd-contrast agents. For Ktrans as a stromal marker, this feature could increase the sensitivity since microvascular permeability and perfusion were both increased after stromal intervention (3). DCE-MRI studies with quantitative endpoints are being evaluated in multi-center clinical trials of other cancers, such as prostate and breast cancer (31–34). Quantitative DCE-MRI in human abdominal applications including PDA will be facilitated by motion-robust, rapid imaging techniques and their feasibility in the clinic has been shown (35–37). A standardized clinical DCE-MRI protocol (38) is expected to help control data variability across centers. In conclusion, the proof-of-the-concept study has shown that DCE-MRI is a sensitive and robust quantitative tool for evaluating stroma-directed inventions in preclinical PDA models, and the data support its further evaluation in clinical trials.
Supplementary Material
Statement of translational relevance:
Using relevant animal models, this study demonstrated that a quantitative marker derived from dynamic contrast enhance MRI can detect early responses to stroma-directed drug for pancreatic ductal adenocarcinoma with a high level of hyaluronan. This imaging tool has the potential to non-invasively evaluate the stromal hyaluronan level of the entire tumor mass.
Acknowledgments:
We thank Dr. Hee Kwon Song for insightful discussions. This study was partially supported by R21CA198563, R01CA211337 and U24CA231858. All MRI studies were performed in the Small Animal Imaging Facility at the University of Pennsylvania which is supported by the Abramson Cancer Center (P30-CA-016520). Jianbo Cao is grateful for the financial support from the China Scholarship Council (No. 201606310135).
Financial support: This study was partially supported by R21CA198563, R01CA211337 and U24CA231858. All MRI studies were performed in the Small Animal Imaging Facility at the University of Pennsylvania which is supported by the Abramson Cancer Center (P30-CA-016520). Jianbo Cao is grateful for the financial support from the China Scholarship Council (No. 201606310135).
Footnotes
Conflict of interest disclosure statement
None of the authors declare any financial interests that could be perceived as being a conflict of interest.
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