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. 2021 Feb 12;11:3731. doi: 10.1038/s41598-021-82172-w

Glypican-3 targeted delivery of 89Zr and 90Y as a theranostic radionuclide platform for hepatocellular carcinoma

Kevin P Labadie 1, Andrew D Ludwig 1, Adrienne L Lehnert 2, Donald K Hamlin 2,3, Aimee L Kenoyer 4, Kevin M Sullivan 1, Sara K Daniel 1, Tara N Mihailovic 1, Jonathan G Sham 1, Johnnie J Orozco 4, Raymond S Yeung 1, Delphine L Chen 2, D Scott Wilbur 2,3, Robert S Miyaoka 2, James O Park 1,
PMCID: PMC7881163  PMID: 33580090

Abstract

Glypican-3 (GPC3) is a tumor associated antigen expressed by hepatocellular carcinoma (HCC) cells. This preclinical study evaluated the efficacy of a theranostic platform using a GPC3-targeting antibody αGPC3 conjugated to zirconium-89 (89Zr) and yttrium-90 (90Y) to identify, treat, and assess treatment response in a murine model of HCC. A murine orthotopic xenograft model of HCC was generated. Animals were injected with 89Zr-labeled αGPC3 and imaged with a small-animal positron emission/computerized tomography (PET/CT) imaging system (immuno-PET) before and 30 days after radioimmunotherapy (RIT) with 90Y-labeled αGPC3. Serum alpha fetoprotein (AFP), a marker of tumor burden, was measured. Gross tumor volume (GTV) and SUVmax by immuno-PET was measured using fixed intensity threshold and manual segmentation methods. Immuno-PET GTV measurements reliably quantified tumor burden prior to RIT, strongly correlating with serum AFP (R2 = 0.90). Serum AFP was significantly lower 30 days after RIT in 90Y-αGPC3 treated animals compared to those untreated (p = 0.01) or treated with non-radiolabeled αGPC3 (p = 0.02). Immuno-PET GTV measurements strongly correlated with tumor burden after RIT (R2 = 0.87), and GTV of animals treated with 90Y-αGPC3 was lower than in animals who did not receive treatment or were treated with non-radiolabeled αGPC3, although this only trended toward statistical significance. A theranostic platform utilizing GPC3 targeted 89Zr and 90Y effectively imaged, treated, and assessed response after radioimmunotherapy in a GPC3-expressing HCC xenograft model.

Subject terms: Hepatocellular carcinoma, Molecular medicine

Introduction

Hepatocellular carcinoma (HCC) is the most common histologic subtype of liver cancer with forecasts projecting an increase in incidence in coming decades13. HCC most commonly presents in the setting of chronic liver disease, often in an advanced stage involving multiple diseased liver segments4,5. In cases of advanced HCC, overall survival is poor with the standard-of-care systemic therapy (e.g. sorafenib, lenvatinib) and checkpoint inhibition immunotherapy (e.g. nivolumab, pembrolizumab) only providing marginal survival benefit610. Novel therapies that combine immune checkpoint inhibitors with anti-angiogenic agents (e.g. atezolizumab and bevacizumab) or tyrosine kinase inhibitor (e.g. pembrolizumab and lenvatitinib) have recently demonstrated promise in advanced HCC, although there are limiting side effects1114. Locoregional therapies, such as transarterial chemoembolization and radioembolization, are important tools in management of locoregional and advanced HCC. They have been shown to prolong survival in unresectable HCC and can facilitate downstaging to transplant or surgical resection1517. Surgical resection is a mainstay of therapy in patients with resectable disease and preserved liver function, however recurrence in the liver remnant is common due to de novo carcinogenesis, intrahepatic metastasis, and missed lesions during initial staging18. Therefore, improved diagnostic and therapeutic adjuncts are needed to better stage and treat patients with HCC.

Targeted radionuclide theranostics is an emerging field that promises new and personalized approaches to cancer therapy. To date, numerous targeted radionuclide diagnostic and therapeutic technologies are in development, including positron-emitting diagnostic agents for targeted PET imaging and beta- and alpha-emitting agents as radionuclide therapies, or radioimmunotherapy (RIT). Somatostatin receptor (SSTR) targeted Galium-68 (68 Ga) DOTATATE radiopeptide imaging and Lutetium-177 (177Lu) DOTATATE peptide receptor radionuclide therapy (PRRT) compose the clinical theranostic platform available for the management of advanced midgut neuroendocrine tumors1923. Currently, there are no clinically approved radionuclide technologies for the management of HCC; however, several antibody-targeting agents are in preclinical development2427.

Glypican-3 (GPC3) is a cell surface antigen highly expressed on HCC that has been used for a variety of targeted therapies including chimeric antigen receptor T-cell (CAR-T) therapy, vaccine and radionuclide therapy28,29. GPC3 is expressed on over 75% of HCC tumors and is not found on normal tissues30,31. GPC3 is variably expressed in HCC, and although highest cell surface expression is associated with de-differentiated tumors, it is also present on well-differentiated tumors and dysplastic nodules indicating it may be effective in identifying early neoplastic lesions32. It is therefore an attractive target for developing a theranostic platform which combines detection and treatment of both early and advanced disease.

Delivery of radioimmunoconjugates for a theranostic approach, including initial tumor identification and staging, subsequent targeted radioimmunotherapy, and assessment of treatment response has not been reported in HCC. To this end, our group developed GPC3-targeted radioimmunoconjugates using zirconium-89 (89Zr-αGPC3) for immuno-PET imaging and ytrrium-90 (90Y-αGPC3) for cytotoxic radioimmunotherapy to serve as functional agents for a theranostic approach24,33. In this proof-of-concept study, we test the utility of sequentially delivering radioimmunoconjugates to identify, treat and assess treatment response in a murine orthotopic xenograft model of HCC.

Results

Conjugated αGPC3 maintains binding affinity for GPC3

Binding to cell surface GPC3 by unconjugated, DFO- and DOTA-conjugated αGPC3 was confirmed by flow cytometry (Fig. 1). Normalized geometric mean fluorescence for αGPC3-DFO and αGPC3-DOTA were significantly elevated compared to control. These validated conjugates were subsequently radiolabeled with 89Zr for immuno-PET studies and 90Y for RIT.

Figure 1.

Figure 1

Conjugated αGPC3 maintains binding affinity for GPC3 -In vitro GPC3 binding assessed by flow cytometry on HepG2 cells with unconjugated (red), DOTA- (blue) and DFO- (green) conjugated αGPC3 compared to unstained (black) and secondary-only control (gray) antibodies.

89Zr-αGPC3 immuno-PET reliably identifies small tumors and measures tumor volume

Orthotopic tumor establishment was confirmed with serum AFP measurement and IVIS bioluminescence imaging six weeks after subcapsular HepG2 cell injection. To stage tumors prior to RIT, 29 animals underwent 89Zr-DFO-αGPC3 immuno-PET imaging and GTV was measured along with serum AFP sampling. All animals demonstrated discrete localizations of increased PET intensity at the subcapsular injection site with minimal background signal (Fig. 2). Immuno-PET was sensitive in detecting both small and large tumors, with GTVs ranging from 0.009cm3 to 0.35cm3 . Individual animal immuno-PET GTV measurements strongly correlated with serum AFP concentrations (R2 of 0.90) (Fig. 3a), demonstrating its reliability in assessing tumor burden and measuring tumor volume. Maximum standardized uptake (SUVmax) were calculated from PET images prior to RIT and ranged from 6 to 53.5 and did not correlate with tumor size (data not shown).

Figure 2.

Figure 2

89Zr-DFO-αGPC3 immuno-PET identifies and measures volume of small and large tumors—Representative axial immuno-PET images of pre-treatment animals with small (left) and large (right) tumor with region of interest (shaded) contour set at 40% of maximum signal intensity (white arrowheads). Corresponding serum AFP and immuno-PET GTV listed in table below.

Figure 3.

Figure 3

89Zr-αGPC3 immuno-PET measures tumor volume before and after αGPC3 exposure. (a) GTV measured by 89Zr-DFO-αGPC3 immuno-PET correlates with tumor burden on day 0 (n = 29) and (b) 30 days after 90Y-DOTA-αGPC3 RIT (n = 27). Linear, least squares regression analysis without special handling of outliers or weighting was performed.

90Y-αGPC3 RIT decreases tumor burden

Two days after 89Zr-DFO-αGPC3 immuno-PET imaging, the animals received either 11.1 MBq 90Y-DOTA-αGPC3, αGPC3-DOTA alone by tail vein injection or no treatment. Tumor burden was not statistically different between groups prior to RIT, with mean serum AFP concentrations of 185,986 ± 127,154 ng/mL in the no treatment control group, 166,370 ± 119,541 ng/mL in the αGPC3-DOTA control group, and 180,613 ± 155,557 ng/mL in the 90Y-DOTA-αGPC3 group (p = 0.97). Pre-RIT GTV was 0.16 ± 0.10cm3 in the no treatment, 0.15 ± 0.13cm3 in the αGPC3-DOTA control groups, and 0.14 ± 0.12cm3 in the 90Y-DOTA-αGPC3 group (p = 0.96) (Fig. 4a,b).

Figure 4.

Figure 4

90Y-DOTA-αGPC3 RIT decreases tumor burden—(a) Serum AFP measurements in untreated (n = 11), non-radiolabeled αGPC3-DOTA treated (n = 12) and 90Y-DOTA-αGPC3 treated (n = 12) mice and (b) GTV measurements by 89Zr-DFO-αGPC3 immuno-PET in untreated (n = 10 pre-RIT, n = 9 post-RIT), non-radiolabeled αGPC3-DOTA treated (n = 9 pre-RIT, n = 10 post-RIT) and 90Y-DOTA-αGPC3 RIT treated (n = 10 pre-RIT, n = 11 post-RIT) mice before (day 0) and 30 days after therapy. Bar represents mean. Normality of data assessed via Shapiro Statistical analysis by One. Kruskal–Wallis with Dunn’s multiple comparison test was performed for pairwise comparisons. * denotes p < 0.05.

Thirty days after RIT injection, mean serum AFP was measured and animals underwent a second round of 89Zr-DFO-αGPC3 immuno-PET imaging. Mean serum AFP concentration was lower in the 90Y-DOTA-αGPC3 treatment group compared to both no treatment and αGPC3-DOTA control groups (Fig. 5a). Compared to pretreatment levels, mean serum AFP concentration decreased 57% to 77,834 ± 90,970 ng/mL, in the 90Y-DOTA-αGPC3 treatment group, and increased 150% to 428,221 ± 444,127 ng/mL, and 143% to 403,835 ± 446,544 ng/mL, in the no treatment and αGPC3-DOTA control groups, respectively. A significant reduction in serum AFP 30 days after 90Y-DOTA-αGPC3 RIT was observed in all but one animal. One untreated animal required euthanization prior to completion of the study due to large tumor size.

Figure 5.

Figure 5

89Zr-DFO-αGPC3 immuno-PET evaluates treatment response after 90Y RIT. (a) Representative axial immuno-PET (left) and fused PET/CT (right) images from before (day 0) and 30 days after 90Y-DOTA-αGPC3 RIT. Shaded PET area represents isocontour at 40% maximum signal intensity. (b) Serum AFP and GTV of same animal before (day 0) and 30 days after 90Y-DOTA-αGPC3 RIT.

89Zr-αGPC3 immuno-PET evaluates treatment response after 90Y RIT

To examine the utility of 89Zr-DFO-αGPC3 immuno-PET in assessing treatment response, 29 animals imaged prior to RIT underwent a second round of immuno-PET imaging 30 days after RIT. Again, we observed discrete localizations of increased PET intensity in the left lobe of the liver in all imaged animals, indicating that serial exposure to our antibody does not limit binding of additional radiotracer doses, likely through replenishment of surface antigen (Fig. 5a). Similar to pre-treatment immuno-PET imaging, GTVs correlated with serum AFP concentration after therapy (R2 = 0.87, Figs. 3b, 5b), confirming its accuracy in measuring tumor volume after serial antibody exposure. No significant correlation between pre-treatment SUVmax and response to 90Y RIT was observed. Lower intensity PET signal was observed in the center of larger tumors, suggesting diminished conjugate delivery secondary to poor perfusion and/or tumor cell necrosis and loss of GPC3 surface expression.

Immuno-PET imaging with 89Zr-DFO-αGPC3 demonstrated an increase in GTV of 226% to 0.51 ± 0.70cm3, and 115% to 0.31 ± 0.35cm3, in untreated and non-radiolabeled αGPC-DOTA animals, respectively, and a decrease in GTV in 90Y treatment animals by 62% to 0.10 ± 0.10cm3, compared to pretreatment volumes, in a trend toward statistically significant differences between groups (p = 0.13) (Fig. 4b). Of note, due to limitations in imaging logistics during 2nd round, several randomly selected animals were not imaged by immuno-PET. Three animals in the no treatment control group were not imaged, two of them having large tumors as measured by serum AFP (570,000 and 1,114,000 ng/mL). Two animals in the non-radiolabeled αGPC-DOTA control group were not imaged, both of them found to have large tumors by serum AFP (322,000 and 1,114,000 ng/mL). One animal in the 90Y-DOTA-αGPC3 group was not imaged, with moderate sized tumor by serum AFP (95,000 ng/mL).

90Y-αGPC3 RIT induces tumor cell apoptosis

Select animals were euthanized after 89Zr-DFO-αGPC3 immuno-PET and livers were removed en bloc for histopathologic analysis. Immunohistochemical analysis of CC3, a marker of apoptosis, demonstrated significant increase in apoptosis in tumors after 90Y-DOTA-αGPC3 RIT, with 64% of cells expressing CC3, compared to 20% in untreated and 8% in αGPC3-DOTA control groups (Fig. 6a–d). CC3 expression was not observed in any surrounding normal liver parenchyma (Fig. 6b) confirming cytotoxic effect limited to tumors cells specifically targeted by 90Y-DOTA-αGPC3 RIT.

Figure 6.

Figure 6

90Y-DOTA-αGPC3 RIT induces tumor cell apoptosis. (a) Quantification of intra-tumoral cleaved caspase-3 (CC3) expression in untreated, non-radiolabeled αGPC3-DOTA and 90Y-αGPC3 treated mice (n = 3, 2, 3). (b) Representative CC3 IHC of tumor (T) and normal liver (L) in untreated and (c, d) in 90Y-DOTA-αGPC3 treated mouse. Bar represents mean, symbol represents mean of each mouse evaluated. Statistical analysis by Kruskal–Wallis with Dunn’s multiple comparison test was performed for the depicted pairwise comparisons. *Denotes p < 0.05.

Discussion

This preclinical study demonstrates the utility in combining 89Zr-DFO-αGPC3 and 90Y-DOTA-αGPC3 for detection and therapy in a specific theranostic approach to stage, treat, and assess response to treatment in an orthotopic xenograft model of HCC, highlighting the potential direct clinical relevance for patients with HCC. To test theranostic feasibility, we delivered our radiolabeled αGPC3 sequentially over time to assess efficacy in the setting of serial antibody exposure. Using 89Zr-DFO-αGPC3 immuno-PET, we reliably measured volume of sub-centimeter implanted tumors, which correlated well with markers of tumor burden indicating utility in initial clinical staging. 90Y-DOTA-αGPC3 RIT effectively reduced tumor burden with a decrease in serum AFP and 89Zr-DFO-αGPC3 immuno-PET tumor volume compared to control. Correlations between serum AFP and 89Zr-DFO-αGPC3 immuno-PET tumor volume remained strong after RIT suggesting 89Zr-DFO-αGPC3 immuno-PET may be useful in assessing response to therapy. These findings confirm the effectiveness of each radioimmunoconjugate in the presence of serial antibody exposure. If effective in patients with HCC, this target-specific diagnostic and therapeutic approach would represent a major advance over current technologies used in HCC that would specifically benefit patients with GPC3 expressing tumors.

This study validates the 89Zr-DFO-αGPC3 immuno-PET agent as a highly sensitive and specific molecular imaging agent for imaging GPC3-positive tumors. All animals with tumors identified by bioluminescent imaging and serum AFP measurement had detectable tumors by immuno-PET before and after RIT. 89Zr-DFO-αGPC3 immuno-PET detected sub-centimeter tumors, with tumor sizes ranging from 0.009 to 1.9cm3, and reproducibly measured volume using standardized segmentation technology34,35. Although there are several limitations associated with PET GTV quantification36, we were reassured to see a strong correlation between measured GTV and serum AFP before and after RIT. Further studies to validate the accuracy of this tumor volume quantification are currently ongoing.

We observed a reduction in tumor size after treatment with 90Y-DOTA-αGPC3. This effect was observed in animals exposed to antibody for PET imaging just a week prior, indicating that the antibody binding sites were not saturated or that bound sites were quickly recycled. The antitumor effect may be explained by antibody-dependent cellular cytotoxicity which has been observed with other αGPC3 antibodies targeting different epitopes, including GC33, which has been evaluated in clinical trials37. However, in our study, we did not observe a measurable antitumor effect in the non-radiolabeled antibody control group, indicating that this antitumor effect was due to the presence of targeted radiation. This targeted RIT is delivered systemically and may be an important new therapy for patients with advanced GPC3-expressing HCC.

This study is the first to report a combined PET/RIT approach to the treatment of HCC and represents an advance in the field towards a more personalized and targeted radionuclide approach. This contrasts with the current 90Y radionuclide therapy used in HCC which is delivered in microspheres via a transarterial approach. The antibody directed approach offers a systemically administered alternative and would benefit from GPC3 targeting. Although only applicable to GPC3+ tumors, these patients would be selected for therapy with the 89Zr-DFO-αGPC3 immuno-PET, increasing likelihood of treatment success. This theranostic platform for HCC complements the growing field of radionuclide theranostics for management of solid tumors. Since the 1980s, several theranostic agents were developed including those for colorectal cancer38, breast cancer39, renal cell carcinomas40, non-Hodgkin’s lymphoma41 and prostate cancer42. The most widely utilized agent is used in the management of neuroendocrine tumors with 68 Ga-DOTATATE PET for identification and 177Lu DOTATATE as PRRT19,43. These studies support the development of more theranostic platforms to personalize patient selection with targeted molecular imaging followed by targeted therapy.

There are several limitations to our preclinical study. Due to PET scanner availability, not all animals were imaged after RIT, including several control animals with high tumor burden. Although shown to be generally widely expressed on HCC, the extent of GPC3 expression varies and may limit the sensitivity of the tumor volume quantification and efficacy of RIT for all HCCs observed in clinical practice. We did not observe an association between SUVmax and response to radioimmunotherapy or tumor size in this study. In fact, a weak correlation was observed between higher SUVmax and smaller tumor size.This may be explained by reduced radiotracer uptake from insufficient perfusion or intratumoral necrosis in our model, which warrants investigation in future studies. Utilizing a cell line with high GPC3 expression in an immunocompromised xenograft does not adequately represent the complex human HCC tumor microenvironment and favors the function of our GPC3-targeting agents; however, this proof-of-concept study was important to demonstrate the potential of our platform. Additional experiments demonstrating the limit of GPC3 expression needed for detection and effective therapy with our theranostic platform are needed. Furthermore, although PET image segmentation is limited by PET technique and its partial volume effect, we still observed very strong correlations between tumor volume by PET and validated measures of tumor volume, particularly for smaller tumors. More investigations will be needed to assess the accuracy of PET outside this range.

Conclusion

In this study, we report GPC3 targeted radionuclide delivery of 89Zr/90Y as a promising theranostic approach to detect, treat, and monitor treatment in an orthotopic xenograft model of HCC. By utilizing the 89Zr-DFO-αGPC3 immuno-PET imaging platform to assess the efficacy of 90Y-DOTA-αGPC3 RIT, we confirm the continued utility of our radioimmunoconjugates with serial antibody exposure, demonstrating feasibility of this theranostic platform as a future approach to improve diagnosis and treatment of patients with HCC.

Materials and methods

Cell lines and tissue culture

GPC3-positive HepG2-Red-FLuc HCC cells expressing Luciferase were purchased from PerkinElmer (RRID:CVCL5I98, Bioware, cat. no. BW134280) and were maintained as previously described33. Cells were cultured in a monolayer at 37 °C in Dulbecco’s modified Eagle Medium (DMEM; Gibco) supplemented with 10% fetal bovine serum (FBS; Gibco) in a humidified chamber with 5% CO2. Cells were grown until 70–80% confluent, detached with 0.25% trypsin and passaged into new cell culture flask per manufacturer’s instructions (PerkinElmer).

Production of αGPC3 IgG1

As previously described, αGPC3 IgG1-producing hybridomas were generated through the Fred Hutchinson Cancer Research Center antibody core facility44.

Conjugation of αGPC3 with deferoxamine (DFO) and 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid (DOTA)

To demetallate the αGPC3 antibody for labeling with radiometals, it was concentrated to 6 mg/mL and then dialyzed against metal-free saline (150 mM NaCl, and 1 mM EDTA adjusted to pH 7 and passed over a Chelex 100 column) for 3 days at 4 °C with a minimum of three buffer changes a day. The day before the conjugation reaction, the antibody was dialyzed for an additional two buffer changes to replace the saline with demetallated HEPES buffer (50 mM HEPES (N-(2-hydroxyethyl)piperazine-N′-ethanesulfonic acid, 150 mM NaCl, and 1 mM EDTA adjusted to pH 8.5 and passed over a Chelex 100 column). In acid washed microcentrifuge tubes, the demetallated αGPC3 antibody was conjugated with 10 equivalents of either p-SCN-Bn-DFO or p-SCN-Bn-DOTA (both from Macrocyclics) as a solution at 10 mg/mL in DMSO. These reactions were allowed to run overnight at room temperature with gentle mixing. The reaction mixtures were then dialyzed against a metal-free citrate buffer (50 mM sodium citrate and 150 mM NaCl with pH 5.5) over 3 days at 4 °C followed by dialysis against 150 mM saline (pH 7.0) for another 3 days. Each buffer change contained Chelex resin to scavenge metals. The final conjugates were then stored in acid washed tubes at 4 °C.

89Zr-Labeling of αGPC3-DFO

Demetallated 2 M sodium carbonate was added to 89Zr to adjust the pH to 7.0–7.5. To this solution was added HEPES buffer at pH 7.0, followed by αGPC3-DFO, prepared as above. The mixture was then incubated for 2 h at room temperature. The labeled antibody was separated from unreacted 89Zr via a PD-10 column (GE Healthcare) eluted with PBS prior to analysis by HPLC) to verify radiochemical purity. Acid-washed vials and pipette tips were used for all steps. The radiochemical yield was 78% and the radiochemical purity was > 95%.

90Y-Labeling of αGPC3-DOTA

αGPC3-DOTA was radiolabeled with 90Y as previously described33. Acid-washed vials and pipette tips were used for all steps. The radiochemical yield was 90% and the radiochemical purity was > 98%.

Flow cytometry

Flow cytometry was used to evaluate the in vitro binding of the αGPC3-DFO and αGPC3-DOTA conjugates. HepG2-Red-FLuc cells were resuspended in cold phosphate-buffered saline (PBS) at a concentration of 1 × 106 cells/mL. One microgram of unconjugated αGPC3, αGPC3-DFO or αGPC3-DOTA was added to the cell suspension and incubated for 45 min at 4 °C. After incubation, samples were washed in cold PBS, and incubated with 1 μg of PE-labeled goat-α-mouse IgG1 secondary antibody (BD Biosciences, San Jose, CA) on ice for 30 min in the dark. Cells were then washed in cold PBS and were analyzed with a LSRII (BD Biosciences, San Jose, CA) using the FACS Diva software. A minimum of 10,000 cells were analyzed for each sample in triplicate. Data analysis was performed on the FlowJo software, version 8.8.6 (TreeStar, Ashland, OR).

Orthotopic xenograft model

This study was performed in accordance with the University of Washington Office of Animal Welfare guidelines for the humane use of animals, and all procedures were reviewed and approved by the Institutional Animal Care and Use Committee (Protocol #4304-02) and was carried out in compliance with the ARRIVE guidelines45. The orthotopic xenograft model was generated as previously33. After a week of acclimatizing, approximately 2 × 106 Luciferase-expressing GPC3-positive HepG2 cells in 25μL of Dulbecco’s modified Eagle medium containing 50% Matrigel (BD Biosciences) were injected into the subcapsular space of the left hepatic lobe. Six weeks after hepatic subcapsular cell injection, a 75 mg/kg intraperitoneal injection of VivoGlo luciferin (Promega) was administered and bioluminescent imaging was performed using an IVIS Lumina II system (PerkinElmer) to verify tumor establishment.

Measurement of serum AFP

To monitor orthotopic tumor growth, whole blood was obtained from animals by submandibular bleed and collected in EDTA-coated Eppendorf tubes33,46. Serum was extracted from the fresh whole blood, then frozen and allowed to decay 10 half-lives (~ 27 days for 90Y, ~ 33 days for 89Zr) if found to be radioactive in accordance with the University of Washington Environmental Health and Safety policy. Frozen serum specimens were thawed on ice and the serum concentration of AFP was determined on the UniCel Dxl 800 Access Immunoassay System (Beckman Coulter) using an Access AFP Alpha-fetoprotein pack (Quest Diagnostics) and reported in nanograms/milliliter.

In vivo 90Y radioimmunotherapy

HepG2 tumor bearing animals were assigned to one of three experimental groups based on serum AFP measurements to ensure comparable cohorts and were grouped in same cage (n = 12 in each group). Animals either received no injection, 70 μg αGPC3-DOTA without radioisotope or 70 μg DOTA-αGPC3 radiolabeled with 11.1 MBq (300uCi) of 90Y (Perkin Elmer), administered via tail vein injection. Thirty days after RIT injection, randomly selected animals were imaged by PET/CT and then all animals were euthanized for serum AFP collection to evaluate for early anti-tumor effect of RIT. Primary outcome measure was serum AFP and gross tumor volume assessed on immuno-PET. Randomly selected livers were harvested and placed in 10% (w/v) neutral-buffered formalin. Animals were euthanized if they did not meet standard body-conditioning scores set by our Office of Animal Welfare.

Small-animal positron emission tomography

89Zr-DFO-αGPC3 imaging studies were performed using the Inveon PET/CT scanner (Siemens Medical Solutions USA, INC. Molecular Imaging, Knoxville, TN), which was calibrated for 89Zr. Whole-body PET and CT imaging was performed on animals anesthetized with 1–2% isoflurane anesthesia in 100% oxygen at 1L/min in a temperature-controlled bed with respiratory monitoring. Tumor-bearing animals were injected with 11.1 MBq (300uCi) of 89Zr-DFO-αGPC3 (~ 70 μg antibody) via the tail vein 1 week before (n = 29) and 4 weeks (n = 27) after RIT injection. Pre-RIT PET/CT imaging was performed on days 4 and 5 after 89Zr-DFO-αGPC3 injection and post-RIT imaging was performed on days 6 and 7 after injection due to equipment availability. Animals first had a 60-min PET scan followed by a CT scan, which enabled scatter and attenuation correction. Due to scanner malfunctions during post-RIT imaging, 10 animal scans were PET-only and therefore not corrected for scatter or attenuation. Due to limited imaging time on PET scanner, not all animals were imaged. Animals were randomly selected and were imaged before and after RIT.

PET tumor volume and intensity measurements

PET images were reconstructed using ordered subset expectation maximization/shifted Poisson maximum a posteriori (OSEM3D/SP-MAP; 2 iterations 18 subsets) with a 256 × 256 matrix, target resolution of 1.5 mm, zoom factor 1.3, and corrections for scatter and attenuation. CT images were reconstructed using forward back projection with a Shepp-Logan filter, slight noise reduction, and appropriate beam hardening corrections. Maximum Standardized Uptake Values (SUVmax) were determined using MIM software (MIM Software Inc., Cleveland, OH USA). Dose information for each mouse was entered as 8.51 MBq (0.230 mCi) 89Zr at 14:30 1/10/19, along with measured mouse weight and scan start time. Because two animals were present in each image, the process was repeated for the second mouse. Gross tumor volume (GTV) measurement and image analysis were performed with Horos software (Nimble Co., Annapolis, MD USA). Localizations of increased intensity in the midline upper abdomen as anticipated based on anatomy and surgical procedure were classified as tumors. GTV was measured using a combination of fixed thresholding and manual segmentation methods as previously described35. A fixed, relative threshold of 40% of the maximum signal intensity was set as the lower threshold for each growing region. For larger tumors with diffuse, heterogeneous uptake, manual visual segmentation was performed. The total and mean signal intensity of each volume of interest was obtained and was decay and dose-corrected. Since 10 animals did not have attenuation or scatter correction, GTV measurement was performed with images that were not attenuated or corrected for scatter to maintain consistency of measurements across cohort. All segmentation was performed by a user blinded to experimental conditions of each animal.

Immunohistochemistry

Formalin-fixed, paraffin-embedded tissues were sectioned at 4 microns onto positively charged slides. Slides were de-paraffinized in xylene and rehydrated through graded ethanol. Heat mediated antigen retrieval was performed in 10 mM sodium citrate buffer (pH 6.0). Incubations were performed with cleaved caspase-3 (CC3) primary antibody (1:200) (#9661, Cell Signal Technologies) followed by host-matched secondary antibody (1:200), polymer reagent and color substrate. Secondary reagents were ImmPress Rabbit HRP (Vector Laboratories) and color development was performed using Quanto DAB brown kit (Fisher Scientific) followed by counterstaining with Harris hematoxylin (Sigma). High-resolution slide scans were obtained with Hamamatsu NanoZoomer Digital Pathology System up to 40× magnification. Positive cell detection of 20X high power fields (20–30 per tumor) was performed using QuPath (QuPath, RRID:SCR_018257) image analysis software for quantification of CC3 positive cells (24).

Statistical analysis

GraphPad Prism (version 8.0.0, GraphPad Software, San Diego, California USA, RRID:SCR_002798) was used for statistical analysis. D’Agostino & Pearson normality test was performed to test for Gaussian distribution. Continuous variables were expressed as medians and means and compared by Student’s t-test or Mann–Whitney test depending on distribution. One way-ANOVA or Kruskal–Wallis with Dunn’s multiple comparison test was performed for multiple depending on distribution. Correlation was assessed via linear regression with goodness-of-fit determination (R2). In all cases, a P value of ≤ 0.05 was considered statistically significant.

Ethics approval

This study was approved by the Institutional Review Board and the Institutional Animal Care and Use Committee at the University of Washington.

Acknowledgements

The authors would like to acknowledge the University of Washington Shared IVIS Core, which is supported by the NIH Shared Instrumentation Grant 1S10OD010652-01, and the University of Washington Small Animal PET/CT resource, which is support by NIH shared resource grants 1S10 OD 017980-0 and S10 RR024689-01. This research was also supported in part by the Translational BioImaging Core (TBIC) Shared Resource of the Fred Hutch/University of Washington Cancer Consortium (P30 CA015704). In addition, the authors thank Greg Garwin and Barbara Llewellen for assistance with immuno-PET imaging.

Author contributions

Conceptualization: K.P.L., A.D.L., A.L.L., D.K.H., A.L.K., K.M.S., S.K.D., T.N.M., J.G.S., J.J.O., R.S.Y., D.L.C., D.S.W., R.S.M., and J.O.P.; Methodology: K.P.L., A.D.L., A.L.L., D.K.H., A.L.K., K.M.S., S.K.D., T.N.M.; Formal analysis and investigation: K.P.L., A.D.L., A.L.L., R.S.M., and J.O.P.; Writing—original draft preparation K.P.L.; Writing—review and editing: K.P.L., A.D.L., A.L.L., D.K.H., A.L.K., K.M.S., S.K.D., T.N.M., J.G.S., J.J.O., R.S.Y., D.L.C., D.S.W., R.S.M., and J.O.P. Funding acquisition: J.O.P.; Supervision: J.G.S., J.J.O., R.S.Y., D.L.C., D.S.W., R.S.M., and J.O.P.

Funding

This research was funded in part through the NIH/NCI Cancer Center Support Grant P30 CA015704 and the University of Washington’s Royalty Research Fund.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Bray F, et al. Global Cancer Statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. Ca Cancer J Clin. 2018;68:394–424. doi: 10.3322/caac.21492. [DOI] [PubMed] [Google Scholar]
  • 2.Altekruse SF, McGlynn KA, Reichman ME. Hepatocellular carcinoma incidence, mortality, and survival trends in the United States From 1975 to 2005. J. Clin. Oncol. 2009;27:1485–1491. doi: 10.1200/jco.2008.20.7753. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Petrick JL, Kelly SP, Altekruse SF, McGlynn KA, Rosenberg PS. Future of hepatocellular carcinoma incidence in the United States forecast through 2030. J. Clin. Oncol. 2016;34:1787–1794. doi: 10.1200/jco.2015.64.7412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Tabrizian P, Jibara G, Shrager B, Schwartz M, Roayaie S. Recurrence of hepatocellular cancer after resection: patterns, treatments, and prognosis. Ann. Surg. 2015;261:947–955. doi: 10.1097/sla.0000000000000710. [DOI] [PubMed] [Google Scholar]
  • 5.Ladd LM, et al. Comparison of hepatic MDCT, MRI, and DSA to explant pathology for the detection and treatment planning of hepatocellular carcinoma. Clin Mol Hepatology. 2016;22:450–457. doi: 10.3350/cmh.2016.0036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Llovet JM, et al. Sorafenib in advanced hepatocellular carcinoma. N Engl J Med. 2008;359:378–390. doi: 10.1056/nejmoa0708857. [DOI] [PubMed] [Google Scholar]
  • 7.Kudo M, et al. Lenvatinib versus sorafenib in first-line treatment of patients with unresectable hepatocellular carcinoma: a randomised phase 3 non-inferiority trial. Lancet. 2018;391:1163–1173. doi: 10.1016/S0140-6736(18)30207-1. [DOI] [PubMed] [Google Scholar]
  • 8.El-Khoueiry AB, et al. Nivolumab in patients with advanced hepatocellular carcinoma (CheckMate 040): an open-label, non-comparative, phase 1/2 dose escalation and expansion trial. Lancet. 2017;389:2492–2502. doi: 10.1016/S0140-6736(17)31046-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yau T, et al. LBA38_PRCheckMate 459: a randomized, multi-center phase III study of nivolumab (NIVO) vs sorafenib (SOR) as first- line (1L) treatment in patients (pts) with advanced hepatocellular carcinoma (aHCC) Ann Oncol. 2019;30:851–934. [Google Scholar]
  • 10.Finn RS, et al. Pembrolizumab as second-line therapy in patients with advanced hepatocellular carcinoma in KEYNOTE-240: a randomized, double-blind phase III trial. J Clin Oncol. 2020;38:193–202. doi: 10.1200/JCO.19.01307. [DOI] [PubMed] [Google Scholar]
  • 11.Finn RS, et al. Atezolizumab plus Bevacizumab in unresectable hepatocellular carcinoma. N Engl J Med. 2020;382:1894–1905. doi: 10.1056/NEJMoa1915745. [DOI] [PubMed] [Google Scholar]
  • 12.Kelley RK. Atezolizumab plus Bevacizumab: a landmark in liver cancer. N Engl J Med. 2020;382:1953–1955. doi: 10.1056/NEJMe2004851. [DOI] [PubMed] [Google Scholar]
  • 13.13Llovet, J. M. et al. Lenvatinib (len) plus pembrolizumab (pembro) for the first-line treatment of patients (pts) with advanced hepatocellular carcinoma (HCC): Phase 3 LEAP-002 study. J. Clin. Oncol.37, TPS4152–TPS4152, 10.1200/JCO.2019.37.15_suppl.TPS4152 (2019).
  • 14.Yau T, et al. Nivolumab (NIVO) + ipilimumab (IPI) combination therapy in patients (pts) with advanced hepatocellular carcinoma (aHCC): Results from CheckMate 040. J. Clin. Oncol. 2019;37:4012–4012. doi: 10.1200/JCO.2019.37.15_suppl.4012. [DOI] [Google Scholar]
  • 15.Llovet JM, Bruix J. Systematic review of randomized trials for unresectable hepatocellular carcinoma: chemoembolization improves survival. Hepatology. 2003;37:429–442. doi: 10.1053/jhep.2003.50047. [DOI] [PubMed] [Google Scholar]
  • 16.Lewandowski RJ, et al. A comparative analysis of transarterial downstaging for hepatocellular carcinoma: chemoembolization versus radioembolization. Am. J. Transpl. 2009;9:1920–1928. doi: 10.1111/j.1600-6143.2009.02695.x. [DOI] [PubMed] [Google Scholar]
  • 17.Inarrairaegui M, et al. Response to radioembolization with yttrium-90 resin microspheres may allow surgical treatment with curative intent and prolonged survival in previously unresectable hepatocellular carcinoma. Eur. J. Surg. Oncol. 2012;38:594–601. doi: 10.1016/j.ejso.2012.02.189. [DOI] [PubMed] [Google Scholar]
  • 18.Jelic, S., Sotiropoulos, G. C. & Group, O. B. O. T. E. G. W. Hepatocellular carcinoma: ESMO Clinical practice guidelines for diagnosis, treatment and follow-up. Ann. Oncol.21, v59-v64, 10.1093/annonc/mdq166 (2010). [DOI] [PubMed]
  • 19.Strosberg J, et al. Phase 3 Trial of 177 Lu-Dotatate for midgut neuroendocrine tumors. N Engl J Med. 2017;376:125–135. doi: 10.1056/nejmoa1607427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Werner RA, et al. The theranostic promise for neuroendocrine tumors in the late 2010s: where do we stand, where do we go? Theranostics. 2018;8:6088–6100. doi: 10.7150/thno.30357. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Marcu L, Bezak E, Allen BJ. Global comparison of targeted alpha vs targeted beta therapy for cancer: In vitro, in vivo and clinical trials. Crit Rev Oncol Hematol. 2018;123:7–20. doi: 10.1016/j.critrevonc.2018.01.001. [DOI] [PubMed] [Google Scholar]
  • 22.22Group, T. A. T. W. et al. Targeted alpha therapy, an emerging class of cancer agents: a review. Jama Oncol.4, 1765, 10.1001/jamaoncol.2018.4044 (2018). [DOI] [PubMed]
  • 23.Ambrosini V, Fani M, Fanti S, Forrer F, Maecke HR. Radiopeptide imaging and therapy in Europe. J Nucl Med Off Publ Soc Nucl Med. 2011;52(Suppl 2):42S–55S. doi: 10.2967/jnumed.110.085753. [DOI] [PubMed] [Google Scholar]
  • 24.Sham JG, et al. Glypican-3–targeted 89Zr PET imaging of hepatocellular carcinoma. J. Nucl. Med. 2014;55:799–804. doi: 10.2967/jnumed.113.132118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Ludwig AD, et al. Yttrium-90-Labeled Anti-Glypican 3 radioimmunotherapy halts tumor growth in an orthotopic xenograft model of hepatocellular carcinoma. J Oncol. 2019;1–7:2019. doi: 10.1155/2019/4564707. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Yang X, et al. Imaging of hepatocellular carcinoma patient-derived xenografts using 89Zr-labeled anti-glypican-3 monoclonal antibody. Biomaterials. 2014;35:6964–6971. doi: 10.1016/j.biomaterials.2014.04.089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Hanaoka H, et al. Glypican-3 targeted human heavy chain antibody as a drug carrier for hepatocellular carcinoma therapy. Mol Pharmaceut. 2015;12:2151–2157. doi: 10.1021/acs.molpharmaceut.5b00132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Nishida T, Kataoka H. Glypican 3-targeted therapy in hepatocellular carcinoma. Cancers. 2019;11:1339. doi: 10.3390/cancers11091339. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ho M, Kim H. Glypican-3: a new target for cancer immunotherapy. Eur J Cancer Oxf Engl. 2010;1990(47):333–338. doi: 10.1016/j.ejca.2010.10.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Kandil D, Leiman G, Allegretta M, Evans M. Glypican-3 protein expression in primary and metastatic melanoma: a combined immunohistochemistry and immunocytochemistry study. Cancer Cytopathol. 2009;117:271–278. doi: 10.1002/cncy.20032. [DOI] [PubMed] [Google Scholar]
  • 31.Nakatsura T, et al. Glypican-3, overexpressed specifically in human hepatocellular carcinoma, is a novel tumor marker. Biochem Bioph Res Co. 2003;306:16–25. doi: 10.1016/s0006-291x(03)00908-2. [DOI] [PubMed] [Google Scholar]
  • 32.Wang HL, et al. Glypican-3 as a useful diagnostic marker that distinguishes hepatocellular carcinoma from benign hepatocellular mass lesions. Arch Pathol Lab Med. 2008;132:1723–1728. doi: 10.1043/1543-2165-132.11.1723. [DOI] [PubMed] [Google Scholar]
  • 33.Ludwig AD, et al. Yttrium-90-labeled anti-glypican 3 radioimmunotherapy halts tumor growth in an orthotopic xenograft model of hepatocellular carcinoma. J Oncol. 2019;2019:4564707. doi: 10.1155/2019/4564707. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Poeschinger T, Renner A, Weber T, Scheuer W. Bioluminescence imaging correlates with tumor serum marker, organ weights, histology, and human DNA levels during treatment of orthotopic tumor xenografts with antibodies. Mol Imaging Biol. 2012;15:28–39. doi: 10.1007/s11307-012-0559-x. [DOI] [PubMed] [Google Scholar]
  • 35.Foster B, Bagci U, Mansoor A, Xu Z, Mollura DJ. A review on segmentation of positron emission tomography images. Comput Biol Med. 2014;50:76–96. doi: 10.1016/j.compbiomed.2014.04.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Bai B, Bading J, Conti PS. Tumor quantification in clinical positron emission tomography. Theranostics. 2013;3:787–801. doi: 10.7150/thno.5629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Nakano K, et al. Anti-glypican 3 antibodies cause ADCC against human hepatocellular carcinoma cells. Biochem BiophS Res Co. 2009;378:279–284. doi: 10.1016/j.bbrc.2008.11.033. [DOI] [PubMed] [Google Scholar]
  • 38.Cheal SM, et al. Theranostic pretargeted radioimmunotherapy of colorectal cancer xenografts in mice using picomolar affinity 86Y- or 177Lu-DOTA-Bn binding scFv C825/GPA33 IgG bispecific immunoconjugates. Eur J Nucl Med Mol. 2016;I(43):925–937. doi: 10.1007/s00259-015-3254-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Massicano AVF, Marquez-Nostra BV, Lapi SE. Targeting HER2 in nuclear medicine for imaging and therapy. Mol Imaging. 2018;17:1536012117745386. doi: 10.1177/1536012117745386. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Muselaers CHJ, et al. Indium-111-labeled girentuximab immunoSPECT as a diagnostic tool in clear cell renal cell carcinoma. Eur Urol. 2013;63:1101–1106. doi: 10.1016/j.eururo.2013.02.022. [DOI] [PubMed] [Google Scholar]
  • 41.Rizvi SNF, et al. Biodistribution, radiation dosimetry and scouting of 90Y-ibritumomab tiuxetan therapy in patients with relapsed B-cell non-Hodgkin’s lymphoma using 89Zr-ibritumomab tiuxetan and PET. Eur J Nucl Med Mol. 2012;I(39):512–520. doi: 10.1007/s00259-011-2008-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Tagawa ST, et al. Anti–prostate-Specific membrane antigen-based radioimmunotherapy for prostate cancer. Cancer. 2010;116:1075–1083. doi: 10.1002/cncr.24795. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Krenning EP, et al. Radiolabelled somatostatin analogue(s) for peptide receptor scintigraphy and radionuclide therapy. Ann Oncol. 1999;10:S23–S29. doi: 10.1093/annonc/10.suppl_2.s23. [DOI] [PubMed] [Google Scholar]
  • 44.Sham JG, et al. Glypican-3-targeted 89Zr PET imaging of hepatocellular carcinoma. J Nucl Med. 2014;55:799–804. doi: 10.2967/jnumed.113.132118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Percie du Sert, N. et al. The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research. Exp Physiol105, 1459–1466. 10.1113/EP088870 (2020). [DOI] [PMC free article] [PubMed]
  • 46.Golde WT, Gollobin P, Rodriguez LL. A rapid, simple, and humane method for submandibular bleeding of mice using a lancet. Lab Anim (NY) 2005;34:39–43. doi: 10.1038/laban1005-39. [DOI] [PubMed] [Google Scholar]

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