Skip to main content

BRIEF RESEARCH REPORT article

Front. Oncol., 15 November 2024
Sec. Molecular and Cellular Oncology
This article is part of the Research Topic Repurposed Drugs Targeting Cancer Signaling Pathways: Clinical Insights to Improve Oncologic Therapies Volume II View all 8 articles

Repurposing of PSMA-targeted diagnostic and therapeutic agents for the detection and treatment of giant cell tumors of bone

  • 1Center for Vascular Biology, University of Connecticut Health Center, Farmington, CT, United States
  • 2Department of Chemistry, Washington State University, Pullman, WA, United States
  • 3Department of Neuroscience, University of Connecticut Health Center, Farmington, CT, United States

Giant cell tumor of bone (GCTB) is a rare bone tumor often necessitating surgical intervention, radiation therapy, or treatment with bisphosphonates or denosumab. 99mTc-MDP bone scintigraphy for GCTB has limited specificity, and the relatively high uptake of 18F-FDG in GCTB makes it challenging to differentiate it from other benign bone tumors. More specific detection and treatment modalities for GCTB are needed to enhance patient monitoring and outcomes. Prostate Specific Membrane Antigen (PSMA) is present in the neovasculature of various tumors, yet unexplored in GCTB. PSMA-targeted imaging and radiotherapeutic agents Locametz and Pluvicto are a powerful theranostic pair for detecting and treating PSMA-positive metastatic tumors, including those in bone, and thus have considerable potential to be repurposed for GCTB. This study aimed to determine if the vasculature of GCTB was PSMA-positive and whether targeting it with PSMA-specific agents was feasible. Using bone core samples from 28 GCTB patients and 9 negative controls, we present the first robust detection of PSMA on the tumor vasculature of GCTB. To demonstrate the potential repurposed use of PSMA-targeted agents in detecting and treating GCTB, we used a PSMA-specific fluorescent probe (FAM-C6-1298) as a model for these radiopharmaceutical agents. Incubation of fresh GCTB tissue samples with FAM-C6-1298 showed increased fluorescence intensity compared to controls, indicating successful targeting of PSMA in GCTB tissue. In conclusion, our data established that PSMA is not only present in the tumor vasculature of GCTB patient tissue but can be effectively targeted with repurposed PSMA-specific radiopharmaceuticals for diagnosis and therapy.

Introduction

Giant cell tumor of bone (GCTB) is primary osteolytic neoplasm that accounts for approximately 5-6% of all primary bone tumors and about 20% of benign bone tumors (1). GCTB progression is driven, in part, by the overactivity of the receptor activator of nuclear factor-kappa β ligand (RANKL) (2) and typically affects the (3) decade of life (median age 20-40 years) (1, 4). The World Health Organization’s classification of soft tissue and bone tumors categorized GCTB as an intermediate malignant tumor with locally aggressive behavior and a high recurrence rate (5). GCTB has been observed to metastasize to the lungs in up to 6% of cases and can also undergo a malignant transformation in 2.4% of cases (6). The clinical presentation of GCTB includes local swelling, pain, and limitations in joint movement (7, 8). While 99mTc-methyl diphosphonate (99mTc-MDP) bone scintigraphy is routinely used for evaluating GCTB skeletal involvement, its utility is limited by reduced specificity (9). Additionally, 18F-fluorodeoxyglucose (FDG) uptake in GCTB, as measured by positron emission tomography/computed tomography (PET/CT), is comparatively higher than in other benign bone tumors due to the increased metabolic activity of osteoclasts (10, 11) making it difficult to differentiate between benign and malignant bone tumors. Unfortunately, a bone biopsy for histological examination is necessary for a final diagnosis of GCTB.

Due to the absence of randomized clinical trials (<50), treatment methods for GCTB have not significantly changed in the past three decades (12). The preferential treatment is curettage and high-speed drilling with local adjuvants and filling with polymethylmethacrylate (PMMA), bone allografts, and hydroxyapatite, often resulting in recurrence rates of 45% (1, 1317). Where joint salvage is impossible, resection and reconstruction are favored. While joint replacements result in lower GCTB recurrence, they have higher complication rates and less favorable functional outcomes (18, 19). GCTBs that are inoperable, such as in the pelvis or spine, or cause severe dysfunction even after resection are treated with radiation therapy or antiresorptive drugs such as bisphosphonates and/or the human anti-RANKL antibody (denosumab). Bisphosphonates, such as zoledronic acid, function by inhibiting farnesyl pyrophosphate synthase, which is vital in promoting the attachment of the osteoclast to the bone. As a result, the osteoclast detaches from the bone surface, inhibiting bone resorption (20). Furthermore, Bisphosphonates inhibit osteoclast-like giant cell formation from immature precursors and induce apoptosis in mature osteoclasts. Though some literature supports the efficacy of bisphosphonates, the side effects are not trivial. In 15% - 30% of cases, patients experience nausea, fatigue, bone pain, hypotension, atrial fibrillation, anemia, and alopecia, to name a few. More severe cases include osteonecrosis of the jaw (3).

Denosumab is a human monoclonal antibody that binds the cytokine RANKL, an essential factor initiating bone turnover. RANKL inhibits monocyte activation and osteoclastogenesis, thus reducing bone resorption (21, 22). The response rate to denosumab, defined as more than a 90% depletion of multinucleated giant cells on histopathologic examination, is approximately 72% (23, 24). However, caution is employed since upwards of 40% of recurrent GCTB that transform into malignant sarcomas are found in patients who received denosumab administration before curettage for their initial benign lesion (25, 26). Additionally, denosumab cessation carries a risk of relapse, thus requiring long‐term treatment resulting in serious adverse effects (25, 2729). Therefore, despite efforts, there is a lack of specific detection and treatment methods to improve patient monitoring and reduce bone-related events for GCTB patients. However, if a clinically relevant biomarker for other indications could be identified in GCTB cells, it could support the feasibility of repurposing relevant drugs targeted to such a biomarker.

Prostate-Specific Membrane Antigen (PSMA) is the hallmark enzyme-biomarker for prostate cancer as it is expressed in the epithelium of nearly all prostate cancers, and increased expression correlates with progression to castration resistance and metastatic disease (3032). PSMA is a type II transmembrane protein with glutamate-carboxypeptidase activity and known substrates. Upon ligand binding, the cytoplasmic domain of PSMA contains an N-terminal motif that signals the internalization of PSMA via clathrin-coated pits (33, 34), resulting in the transportation of bound ligands into the cell. Clinical technologies utilize this signaling pathway to enhance tumor detection and management of prostate cancer through the delivery of radiopharmaceuticals into primary and metastatic prostate tumors, with PSMA-targeted PET ([68Ga] Ga-PSMA-11 (Locametz)) and ([177Lu] Lu-PSMA-617 (Pluvicto)) leading the way (3545). Tumor vascularity significantly impacts tumor growth and drug responsiveness concerning tumor oxygenation and permeability of imaging agents and chemotherapeutics (4649). In addition to its unique expression in prostate cancer, PSMA is known to be expressed on the endothelial cells of neovasculature in both prostatic and non-prostatic tumors (e.g., renal cell carcinoma, and breast, lung, gastric, colorectal, pancreatic, and bladder cancers) (44, 5052). However, to date, there have been no reports on the expression of PSMA in the vasculature of GCTB nor any on PSMA-based detection or treatments regarding this disease. If the vasculature of GCTB was similarly characterized by PSMA expression, there would be sufficient rationale for pursuing the repurposing of clinical PSMA-targeted diagnostic and therapeutic agents such as Locametz and Pluvicto.

Drug repurposing involves identifying new therapeutic uses for existing drugs initially developed for other indications. A drug’s specific pharmacological action frequently gives rise to a spectrum of side effects, which may exhibit secondary therapeutic uses. Drug repurposing has several advantages over developing new drugs, including a lower risk of failure due to established safety profiles, reduced development time, and lower investment requirements (5357). Repurposable drugs include generic (off-patent) medications currently available on the market, on-patent medications such as Locametz and Plavicto, including those still undergoing clinical trials, and failed drugs initially intended for a different purpose. New potential medication applications are often uncovered through pre-clinical in vitro and in vivo experiments, mathematical modeling, AI-driven network simulations, and clinical trials (58, 59). This strategic approach has primarily targeted chronic conditions such as diabetes, cancer, and rare diseases.

Our aim in this study was to determine if the vasculature of GCTB was positive for PSMA and, if so, whether it would be feasible to target it with PSMA-specific small-molecule fluorescent probe (45). In our analysis of samples obtained from patients clinically diagnosed with GCTB, we detected a significant presence of PSMA on the endothelial cells of tumor vasculature compared to the control. Furthermore, our results demonstrated the effective internalization and trafficking of a model PSMA-targeted agent into a PSMA (+) human cell line and the targeting of PSMA in GCTB patient tissue. This finding is of substantial clinical importance, especially given the recent availability of the PSMA-targeted radiopharmaceuticals Pluvicto and Locametz and their broader applicability for indications other than prostate cancer. This proof-of-concept paper supports the feasibility of initiating preclinical studies and randomized clinical trials focusing on the repurposing of commercially available PSMA-targeted diagnostic and therapeutic agents for the detection and treatment of GCTB.

Materials and methods

Cells

The immortalized human prostate cancer cell line C4-2B (ATCC, Manassas, VA) used in this study was maintained in RPMI 1640 medium (Thermo Fisher, Waltham, MA), supplemented with 10% fetal bovine serum, 100 µg/ml antibiotic-antimycotic (Thermo Fisher), and insulin-transferrin-selenium (Thermo Fisher) in a humid atmosphere containing 5% CO2 at 37°C.

Immunohistochemistry

Clinically diagnosed, deidentified, and coded GCTB patient bone core formalin-fixed paraffin-embedded (FFPE) slides were obtained commercially from TissueArray.com (catalog numbers BO801, BO601, and T261b). An in-house pathologist from TissueArray.com and/or the clinical source verified the clinical diagnosis of GCTB using H&E staining and IHC with Anti-S-100 and H3.3. Slides were deparaffinized and rehydrated. Antigen retrieval was conducted at 95°C using 10 mM sodium citrate buffer (pH 6.0, EMD Millipore Corp. Burlington, MA) in a steamer. Endogenous peroxidase activity was quenched by incubating slides for 15 mn in a peroxidase suppressor (Thermo Fisher). Slides were blocked in 10% normal goat serum in PBS for 60 mn at room temperature in a humidified chamber and then incubated with PSMA rabbit monoclonal antibody (Cell Signaling Technology, Danvers, MA) or a CD31 mouse monoclonal antibody (Cell Signaling Technology) 1% normal goat serum, and 1X PBS overnight at 4°C in a humidified chamber. Slides were washed in PBS, and VECTASTAIN Elite ABC Universal PLUS Peroxidase Kit (anti-mouse/rabbit IgG) (Vector Laboratories, Newark, CA) was used according to the manufacturer’s instructions. Slides were developed using 3,3’-diaminobenzidine. Slides were counterstained in Hematoxylin Gill’s Formula (Vector Laboratories), differentiated in a 1% acetic acid rinse, followed by a bluing solution, and then rehydrated and mounted under Cytoseal 60 (Epredia, Kalamazoo, MI). Images were acquired using a Zeiss LSM510 META based on an Axiovert 200 microscope and processed using the Zeiss Zen software v3.6. Representative H&E images for each patient can be found on the TissueArray.com website.

Immunofluorescence staining

Commercial clinically diagnosed, deidentified, and coded FFPE bone core slides (TissueArray.com, catalog #BO601, #BO801, and #T261b) were deparaffinized and rehydrated. Antigen retrieval was conducted at 95°C using 10 mM sodium citrate buffer, pH 6.0 (EMD Millipore Corp) in a steamer. Slides were blocked and permeabilized in 0.01% Triton X-100 and 10% normal goat serum (Sigma Aldrich, St. Louis, MO) for 1 h and then incubated with a PSMA rabbit monoclonal antibody (Cell Signaling Technology) and a CD31 mouse monoclonal antibody (Cell Signaling Technology), in 1% normal goat serum overnight in humidity chamber 4°C. Slides were washed in PBS and incubated with Alexa Fluor 488 goat anti-mouse (Thermo Fisher Scientific) and Alexa Fluor 546 goat anti-rabbit (Thermo Fisher Scientific) for 1 h. Slides were washed in PBS, and autofluorescence was quenched with Vector TrueVIEW (Vector Laboratories). Slides were washed in PBS and mounted in VECTASHIELD Hardset Antifade Mounting Medium with DAPI (Vector Laboratories.). Images were acquired using a Zeiss LSM510 META based on an Axiovert 200 microscope and processed using the Zeiss Zen software v3.6.

FAM-C6-1298 synthesis

The synthetic methods for preparing FAM-C6-1298 are detailed in the Supplementary Information. DBCO-C6-1298 was available from a prior study (60) and 5-FAM-azide was purchased from Lumiprobe Corporation. All other reagents and general solvents were of commercial quality (Fisher Scientific, Sommerville, NJ) or (Sigma-Aldrich, St. Louis, MO) and were used without further purification. Anhydrous solvents used in reactions were obtained from commercial sources or freshly distilled over calcium hydride. 1H, 13C, and 31P NMR spectra were recorded on a Varian 400, Brucker Avance Neo 500, or Varian 600 MHz spectrometer. 1H NMR chemical shifts are relative to CDCl3 (δ = 7.26 ppm), CD3OD (δ = 3.31 ppm) or D2O (δ = 4.79 ppm). 13C NMR chemical shifts were relative to CDCl3 (δ = 77.23 ppm) or CD3OD (δ = 49.15 ppm). 31P chemical shifts were relative to triphenylphosphine oxide (TPPO, δ = 27.00 ppm). High-resolution mass spectrometry (HRMS) spectra were obtained on an Applied Biosystems 4800 MALDI-TOF/TOF mass spectrometer (Applied Biosystems, Foster City, CA).

Fluorescent cell imaging

Cells were plated onto coverslips at a density of 1 × 105 cells/well in growth medium and allowed to attach for 48 h. Cells were then incubated for 30 min with either 100μM DBCO-C6-1298 or a control growth medium, followed by 30 min with 10μM FAM-C6-1298 at 37°C. For imaging, coverslips were set on ice, rinsed three times in ice-cold phosphate-buffered saline (PBS), fixed in ice-cold 10% neutral buffered formalin solution for 15 min, rinsed again with PBS, and mounted in VECTASHIELD Hardset Antifade Mounting Medium with DAPI (Vector Laboratories).

Fluorescent co-localization cell imaging

Cells were plated onto coverslips at a concentration of 1 × 105 cells/well in 1 mL of growth medium and allowed to attach overnight. Cells were starved for 2 h in fetal bovine serum (FBS)-free RPMI and then incubated for 60 min with 1μM FAM-C6-1298. Coverslips were set on ice, rinsed twice in ice-cold phosphate-buffered saline (PBS), and fixed in ice-cold 10% neutral buffered formalin solution for 15 min. Coverslips were blocked and permeabilized in 0.01% Triton X-100 and10% normal goat serum (Sigma) for 1 h and then incubated with PSMA antibody (D718E, Cell Signaling Technology) in 1% normal goat serum overnight in a humidity chamber 4°C. Coverslips were washed in PBS and incubated with Alexa Fluor 546 goat anti-rabbit (Thermo Fisher Scientific) for 1 h. Slides were washed in PBS and mounted in VECTASHIELD Hardset Antifade Mounting Medium with DAPI (Vector Laboratories).

Ex vivo whole-tissue fluorescence measurements

Frozen tissue blocks from clinically diagnosed GCTB deidentified and coded patients were purchased commercially from OriGene (OriGene, catalog number CB499383, CB649405), divided into two sections, and washed in DPBS at 37°C for 10 mn and then HEPES at 37°C for 10 mn. Tissue blocks were then incubated with either 10μM FAM-C6-1298 in HEPES for 60 min or with 100μM DBCO-C6-1298 in HEPES for 60 min, followed by a 60 min incubation with 10μM FAM-C6-1298 in HEPES at 37°C. The tissue was washed three times in DPBS, placed in 60mm plates, and analyzed for fluorescence using the IVIS Spectrum 2 Imaging System (Revvity). The fluorophore of FAM-C6-1298 was excited at 495 nm and detected at 517 nm. Data was collected as radiant efficiency (photons/sec/cm2/steradian/μW/cm2) using Living Image software v4.8.2. To mitigate the effects of arbitrary autofluorescence, the software computes the background-corrected intensity signal using the following formula:

Background corrected intensity = ROI intensity  Average background ROI intensity

Reagents

All reagents used in this project can be found in the Supplementary Materials.

Ethical statement

All patient samples used in this study were purchased commercially from TissureArray.com (Derwood, MD) and OriGene (Rockville, MD). The following links provide information on the HIPPA-compliant tissue collection procedures and ethical standards followed by these companies:

https://www.tissuearray.com/FAQs#q10

https://www.origene.com/products/tissues/tissue-qc

Statistical analysis

Differences between means were analyzed using either the two-tailed Student’s t-test or analysis of variance (ANOVA), where appropriate, and significance was set at p ¾ 0.05. NIH/FIJI was used to analyze IF co-localization staining. The Zeiss Zen software v3.6 co-localization function determined the Pearson correlation coefficient (ρ).

Results

In this study, we aimed to determine if the vasculature of GCTB was positive for PSMA and, if so, whether it would be feasible to target it with a PSMA-specific small-molecule fluorescent probe (45). Deidentified and coded GCTB patient samples were obtained commercially from TissueArray.com. The in-house pathologist from the company and/or the clinical source verified the clinical diagnosis of GCTB using hematoxylin and eosin staining (Figures 1A, B) and IHC with Anti-S-100 and/or H3.3 (not provided). Multinucleated giant cells can be identified within the tumor tissue by hematoxylin and eosin counterstaining, which is a key characteristic of GCTB (61). For our analysis, GCTB patients were chosen to represent a wide range of ages to assess the broad applicability of PSMA agents for GCTB and prevent sampling bias. Therefore, in our immunohistochemical examination of FFPE bone core samples from 28 patients (12 female, 16 males, ages 17y-75y) clinically diagnosed with GCTB and 9 negative control FFPE patient bone core samples from cancer adjacent normal bone (NAT) of rib (five female, four male, ages 50y-68y) (Table 1), we present the first robust detection of PSMA on the tumor vasculature of GCTB compared to NAT control (Figures 1C, D). Additionally, to validate that PSMA was restricted to the endothelial cells of the GCTB vasculature, we co-incubated the FFPE bone core samples with the vascular endothelial cell marker CD31 and PSMA. Using a previously published Pearson correlation coefficient (ρ) scale where a correlation of <0.20 is very weak, a correlation between 0.20-0.39 is weak, correlations between 0.40-0.59 are moderate, correlations between 0.60-0.79 are strong, and correlations >0.80 as very strong (62), we found that 71.4% of GCTB samples exhibited a strong to moderate positive fluorescent co-localization (ρ = 0.5 to 0.7) of CD31 and PSMA compared to control NAT samples (Figures 1E, G, H), thus confirming that PSMA was restricted to the endothelial cells of the GCTB vasculature. The linear relationship between PSMA and CD31 fluorescent co-localization was verified through a scatterplot (Figure 1F). Due to section variability and random vasculature location within the tumor, the Pearson correlation analysis was measured within a specified boxed area on the image. However, the Pearson correlation coefficient cut-offs are set arbitrarily to refer to linear associations, which do not always exist (62). Therefore, to validate our data further and obtain a more accurate measurement of co-localization throughout the entire section, we used FIJI/Image J to calculate the area of PSMA co-2localization as a percentage of the area of CD31 staining using 10% as our cutoff for PSMA positive staining (Table 1; Supplementary Table 1). We found tissue sections with positive PSMA staining in the vasculature, and their corresponding ρ-values aligned with percentages greater than 10%. Two patient samples displayed disagreement between the Pearson coefficient and percent area, highlighting the influence that section variability and vasculature location within the GCTB have on these measurements. Taken together, analysis (visual assessment, Pearson correlation coefficient, and percentage) confirms that PSMA-positive staining is restricted to the vasculature of GCTB. The immunofluorescence and immunohistochemistry images, as well as the co-localization information for all 28 patients and negative controls, can be found in Supplementary Figures 13. When patient samples were stratified by biological sex, 87.5% of males were positive for PSMA tumor vasculature staining, compared to 50.0% of female samples (Table 1). While intriguing, additional validation is required to formulate any definitive conclusions.

Figure 1
www.frontiersin.org

Figure 1. PSMA is detected on the vasculature of GCTB. (A, B) Representative hematoxylin and eosin staining of an FFPE bone biopsy core from a 20-year-old male with clinically diagnosed GCTB. Arrows point to multinucleated giant cells that are a hallmark of GCTB (black arrows). (C, D) IHC of an FFPE bone biopsy from a 20-year-old male with GCTB is positive for PSMA, as visualized by the brown precipitate and black arrows. Multinucleated giant cells counterstained with hematoxylin can be identified within the section (circled in red). (E) IF staining of PSMA (red), CD31 (green), and the nucleus (blue, DAPI). White arrows indicate examples of Co-localization. (F) Pearson correlation coefficient (r) as measured by Zeiss Zen software. The intensity of a given pixel in the CD31 image is used as the y-coordinate of the scatter plot, and the intensity of the corresponding pixel in the PSMA is the x-coordinate. (G) Cancer adjacent normal bone and bone marrow tissue (NAT) of rib containing a layer of adipocytes adjacent to bony trabeculae and red blood cells were used as negative controls and is void of PSMA staining. (H) IF staining of NAT negative control for PSMA (red) and CD31 (green), nuccleus (blue, DAPI) (20x, scale bar = 50μM). N=28 GCTB patient bone core samples, N=9 NAT controls. The immunofluorescence and immunohistochemistry images, as well as the co-localization information for all 28 patients and negative controls, can be found in Supplementary Figures 13. All tissue in this figure was purchased from MicroArray.Com, and further information about the tissue can be found in Materials and Methods. Hematoxylin and eosin images are from TissueArray.Com.

Table 1
www.frontiersin.org

Table 1. Patient biopsy information and GCTB PSMA vasculature staining status.

To illustrate the potential use of PSMA-targeted therapeutics in detecting and treating GCTB, we utilized a PSMA-specific small-molecule fluorescent probe, FAM-C6-1298, as a model. The structure of FAM-C6-1298 is derived from CTT1298 (developed by our lab), which binds irreversibly to enzymatically active PSMA and rapidly internalizes into PSMA (+) cells (36, 63). When derivatized, CTT1298 and its congeners possess nanomolar affinity and can deliver a diverse array of payloads (MMAE, SN38, doxorubicin, therapeutic radionuclides, therapeutic enzymes) into the cell (42, 6474). The specificity and affinity of FAM-C6-1298 are analogous to that of the radiopharmaceuticals Locametz and Pluvictor. Here, we used FAM-C6-1298 as a model PSMA-targeting agent due to its ease in microscopic visualization (Supplementary Figure 4). After binding to extracellular PSMA, CTT1298-based conjugates rapidly traffic to endosomes/lysosomes through the internalization of the PSMA-conjugate complex (42, 45, 6971, 75). We have previously confirmed that CTT1298 derivatives are internalized 99% in PSMA (+) cells within 4 h (38, 39).

To specifically establish that FAM-C6-1298 was suitable for addressing our experimental question, we confirmed that FAM-C6-1298 could bind to the cell surface PSMA of a PSMA-positive cell line and that the PSMA-bound FAM-C6-1298 could be internalized into the cell through the endosome-lysosome pathway. Using our previously described PSMA CRISPR knockout human prostate cancer C42B cell line (45), we treated C42B-CRISPR-PSMAscramble and C42B-CRISPR-PSMAknockout with 10μM FAM-C6-1298 for 30 min. Fluorescence microscopy indicated that FAM-C6-1298 bound to cell surface PSMA of the C42B-CRISPR-PSMAScramble cells and not C42B-CRISPR-PSMAknockout (Figures 2A, B). Positive co-localization of FAM-C6-1298 and a PSMA antibody (52.16%) (Figure 2C) was comparable (64.55%) to our previously published PSMA-targeted probe 5FAM-X-FPO-42, which served as the positive control (Figure 2D) (45), further supporting the specificity of current PSMA-targeted imaging probe FAM-C6-1298. Additionally, fluorescence microscopy of C42B-Crispr-PSMAScramble cells indicated that the PSMA-FAM-C6-1298 complex co-localized with 10.49% of the early endosomal marker, EEA1, and the 55.04% with the lysosomal marker LAMP-1, providing evidence that the PSMA-FAM-C6-1298 complex was internalized into the cell (Figures 2E, F). The results of the percent co-localization measurements can be found in Supplementary Table 2.

Figure 2
www.frontiersin.org

Figure 2. FAM-C6-1298 can bind to the cell surface PSMA of C42B cells and be internalized. (A, B) C42B-CRISPR-PSMAscramble and C42B-CRISPR-PSMAknockout cells incubated with 10mM FAM-C6-1298 for 30 mn. (C) Co-localization of FAM-C6-1298 (green) and PSMA (red) in C42B cells. (D) IF staining of positive control PSMA (red) and 5FAM-X-FPO-42 (green). White arrows point to areas of co-localization. (E) Co-localization of FAM-C6-1298 (green) and EEA1 (red) in C42B cells (F) Co-localization of FAM-C6-1298 (green) and LAMP-1 (red) in C42B cells. (G) C42B cells were incubated with 100μM DBCO-C6-1298 PSMA blocking peptide for 30 mn and then 10μM FAM-C6-1298 for 30 mn. 63x oil, scale bar = 20μM. The cell nucleus is stained with DAPI in all images. All experiments were repeated for at least three independent experiments.

To confirm that FAM-C6-1298 bound solely to cell surface PSMA, we first treated both C42B-CRISPR-PSMAscramble and C42B-CRISPR-PSMAknockout with 100μM of a previously published non-fluorescent PSMA-blocking ligand (DBCO-C6-1298) (76). This peptide binds exclusively to and blocks the enzymatic domain of extracellular, membrane-bound PSMA. After a 30-minute incubation with the blocking peptide, we further incubated the cells with 10μM FAM-C6-1298 for an additional 30 min. As predicted, no binding of FAM-C6-1298 was detected by fluorescent microscopy (Figure 2G). Therefore, the PSMA-targeted small-molecule fluorescent analog of Pluvicto and Locametz, FAM-C6-1298, demonstrated specific binding to PSMA, and the PSMA-FAM-C6-1298 complex was internalized and trafficked through the endosomal-lysosomal pathway, indicating its suitability as a therapeutic model for addressing our experimental question.

For proof of the in vitro applicability of a PSMA-targeted therapeutic in detecting and targeting GCTB, we commercially obtained fresh frozen tissue samples from patients clinically diagnosed with GCTB from OriGene (patient information in Supplementary Figure 5) and incubated them with either 10μM of our model PSMA-specific small-molecule fluorescent probe (FAM-C6-1298) alone or with 100μM of the PSMA-blocking ligand DBCO-C6-1298, followed by incubation with 10μM FAM-C6-1298. Tissue samples incubated with the combination of the PSMA-blocking peptide and FAM-C6-1298 displayed drastically decreased radiant efficiency (9.25x109 photons/sec/cm2/str/μW/cm2) (Figure 3B), as measured by IVIS compared to those treated with the FAM-C6-1298 alone (1.66x1010 photons/sec/cm2/str/μW/cm2) (Figure 3A). Data for additional samples can be found in Supplementary Figure 6. Taken together, our data indicate successful targeting specificity and uptake of the model PSMA-targeted agent in GCTB tissue.

Figure 3
www.frontiersin.org

Figure 3. FAM-C6-1298 can successfully target PSMA in GCTB tissue. Ex vivo whole-tissue fluorescence measurements of fresh tissue from the tibia of a 23-year-old female with GCTB (OriGene, catalog number CB499383) incubated with (A) 10μM PSMA-targeted fluorescent probe, FAM-C6-1298. (B) 100μM PSMA blocking peptide DBCO-C6-1298, followed by incubation with 10μM FAM-C6-1298. Data was collected by IVIS as radiant efficiency (photons/sec/cm2/steradian/μW/cm2) using Living Image software v4.8.2 and presented as a background-corrected intensity signal in the chart. N=2. Information for sample 2 is in Supplementary Figure 6. All tissue in this figure was purchased from OriGene, and further information about the tissue can be found in Materials and Methods.

Discussion

Drug discovery and development are critical processes in improving human health. The conventional drug development process typically involves several stages, including target identification, compound screening, preclinical studies, clinical trials, and regulatory approval. Unfortunately, this process is often slow, costly, and has high failure rates due to safety or efficacy issues. The average investment for developing a new drug is more than $2.5 billion, and it takes 10-15 years (53, 54) for a new product to be developed, with less than 10% of Phase I candidates receiving FDA approval (55, 56). An alternative strategy known as “drug repurposing” has gained traction to address these challenges and accelerate the discovery of new treatments. Because a drug already has an established safety profile, drug repurposing often skips Phase 1, advancing to Phases 2 and 3 with fewer pharmacokinetic uncertainties, thus significantly reducing the time and costs associated with the drug development process (56, 57). This ultimately results in improved patient outcomes.

Interestingly, in June 2010, denosumab - a treatment for GCTB - was initially approved by the FDA for non-cancer use in postmenopausal women with the risk of osteoporosis under the name Prolia (77), and repurposed in November 2010 as Xgeva for the prevention of skeleton-related events in patients with bone metastases from solid tumors, including prostate cancer (78, 79). In the summer of 2011, clinical trials investigated the safety and efficacy of denosumab in giant cell tumors, multiple myeloma with bone metastases, and hypercalcemia of malignancy (24, 26, 80). In June 2013, the FDA expanded the approved use of Xgeva to treat adults and some adolescents with GCTB. While denosumab’s efficacy in treating advanced and unresectable tumors is well-established, its role in managing surgically resectable disease is a topic of ongoing debate (22).

GCTB is prone to several factors that can impede successful treatment. Research has indicated that delayed diagnosis and treatment of GCTB are associated with increased tumor size, heightened recurrence rates, and elevated incidences of local complications. Moreover, patients experiencing delayed diagnosis or treatment are more likely to require aggressive interventions such as amputation or chemotherapy (81). In terms of location, sacral GCTB warrants special attention. Despite being one of the commonly affected bones, the treatment for sacral GCTB remains challenging, as sacrificing sacral nerve roots is associated with severe morbidity, such as the disturbance of gait and foot plantar flexion, as well as bowel and bladder dysfunction. Even after successful nerve-sparing surgery, the high recurrence rate (25-35% in most cases and up to 50% in some studies) often demands additional therapy (82, 83). Thus, there is an urgent clinical need to identify and develop novel therapeutic strategies for these patients.

PSMA-targeted radiopharmaceuticals, such as Pluvicto and Locametz, represent a potentially powerful theranostic combination for the detection and selective treatment of PSMA-positive GCTB vasculature. By leveraging the high expression of PSMA in the surrounding tumor vasculature, it is expected that these agents can precisely pinpoint and deliver therapeutic payloads to PSMA-expressing tumor vascular endothelial cells. Therefore, PSMA-targeted treatment in combination with traditional or surgical intervention (where possible) could be highly effective compared to a single therapeutic approach.

Through the use of a PSMA-targeted small-molecule fluorescent analog of Pluvicto and Locametz, we showed that PSMA-targeted agents offer a potential alternative to the detection and treatment of tumor vasculature in GCTB. One limitation of this study is the small sample size of 28 GCTB patients. Consequently, it is imperative to conduct further studies with sufficiently large sample sizes to ensure the replicability and generalizability of our findings. However, we still believe that this finding is timely and of substantial clinical importance, especially given the recent availability of Pluvicto and Locametz and their broader applicability for indications other than prostate cancer. While others are currently working on the identification of biomarkers as potential predictive indicators or druggable targets to improve management of GCTB (84), to date, there have been no reports on the expression of PSMA in the vasculature of GCTB or in any other primary bone cancer, such as osteosarcoma, Ewing sarcoma, chondrosarcoma, or chordoma. Indeed, Heitkötter et al. used immunohistochemistry to show that PSMA was present in Ewing sarcoma tumors. However, they did not convincingly establish that PSMA co-localized with endothelial cells of the tumor vasculature (85). While Parihar et al. demonstrated that Ga-PSMA-HBED-CC PET/CT described high radiotracer activity in the iliac bone of a single Ewing sarcoma patient (86) and Can et al. reported high radiotracer activity of 68Ga PSMA PET/CT in the primary tumor and metastatic lesions of a 75-year-old man with osteosarcoma of the sternum (87), neither established that PSMA was present on the endothelial cells of the tumor vasculature of these primary bone tumors.

In conclusion, there is potential for repurposing the current commercially available clinical PSMA-targeted agents for the detection and treatment of GCTB, as well as other primary bone tumors, if PSMA expression is found in its vasculature. This proof-of-concept study supports the justification and feasibility for the use of Pluvicto and Locametz in preclinical studies and randomized clinical trials focusing on the repurposing of commercially available PSMA-targeted diagnostic and therapeutic agents for the detection and treatment of GCTB and beyond.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

Ethical approval was not required for the studies on humans in accordance with the local legislation and institutional requirements because only commercially available deidentified patient tissue and established cell lines were used.

Author contributions

BM: Formal analysis, Methodology, Writing – review & editing, Data curation, Validation, Visualization. NM: Data curation, Formal analysis, Visualization, Writing – review & editing. ED: Data curation, Visualization, Writing – review & editing. SA: Writing – review & editing. CB: Writing – review & editing, Conceptualization, Methodology, Supervision. LC: Conceptualization, Methodology, Supervision, Writing – review & editing, Formal analysis, Funding acquisition, Project administration, Resources, Writing – original draft.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by NIH/NCI R21CA282396, NIH/NCI R21CA256382, NIH/NIDCR T90DE033006-01.

Acknowledgments

The authors extend their gratitude for technical assistance to the WSU Center for NMR Spectroscopy and Dr. Gerhard Munske (WSU Laboratory of Biotechnology and Bioanalysis).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2024.1504514/full#supplementary-material

References

1. Klenke FM, Wenger DE, Inwards CY, Rose PS, Sim FH. Giant cell tumor of bone: risk factors for recurrence. Clin Orthopaedics Related Research®. (2011) 469:591–9. doi: 10.1007/s11999-010-1501-7

PubMed Abstract | Crossref Full Text | Google Scholar

2. Noh B-J, Park Y-K. Giant cell tumor of bone: updated molecular pathogenesis and tumor biology. Hum pathology. (2018) 81:1–8. doi: 10.1016/j.humpath.2018.06.017

PubMed Abstract | Crossref Full Text | Google Scholar

3. Gouin F, Rochwerger AR, Di Marco A, Rosset P, Bonnevialle P, Fiorenza F, et al. Adjuvant treatment with zoledronic acid after extensive curettage for giant cell tumours of bone. Eur J Cancer. (2014) 50:2425–31. doi: 10.1016/j.ejca.2014.06.003

PubMed Abstract | Crossref Full Text | Google Scholar

4. Amelio JM, Rockberg J, Hernandez RK, Sobocki P, Stryker S, Bach BA, et al. Population-based study of giant cell tumor of bone in Sweden (1983–2011). Cancer Epidemiol. (2016) 42:82–9. doi: 10.1016/j.canep.2016.03.014

PubMed Abstract | Crossref Full Text | Google Scholar

5. WHO Classification of Tumours. In Soft Tissue and Bone, 5th ed. (2020) IARC Press: Lyon, France. 3:368.

Google Scholar

6. Palmerini E, Picci P, Reichardt P, Downey G. Malignancy in giant cell tumor of bone: a review of the literature. Technol Cancer Res Treat. (2019) 18:1533033819840000. doi: 10.1177/1533033819840000

PubMed Abstract | Crossref Full Text | Google Scholar

7. Sahito B, Ali SME, Kumar D, Kumar J, Hussain N, Lakho T. Role of denosumab before resection and reconstruction in giant cell tumors of bone: A single-centered retrospective cohort study. Eur J Orthopaedic Surg Traumatology. (2022) 32:567–74. doi: 10.1007/s00590-021-03012-1

PubMed Abstract | Crossref Full Text | Google Scholar

8. Perrin DL, Visgauss JD, Wilson DA, Griffin AM, Razak ARA, Ferguson PC, et al. The role of denosumab in joint preservation for patients with giant cell tumour of bone. Bone Joint J. (2021) 103:184–91. doi: 10.1302/0301-620X.103B1.BJJ-2020-0274.R1

PubMed Abstract | Crossref Full Text | Google Scholar

9. Hudson T, Schiebler M, Springfield D, Enneking W, Hawkins I, Spanier S. Radiology of giant cell tumors of bone: computed tomography, arthro-tomography, and scintigraphy. Skeletal Radiology. (1984) 11:85–95. doi: 10.1007/BF00348795

PubMed Abstract | Crossref Full Text | Google Scholar

10. Aoki J, Watanabe H, Shinozaki T, Takagishi K, Ishijima H, Oya N, et al. FDG PET of primary benign and Malignant bone tumors: standardized uptake value in 52 lesions. Radiology. (2001) 219:774–7. doi: 10.1148/radiology.219.3.r01ma08774

PubMed Abstract | Crossref Full Text | Google Scholar

11. Park HL, Yoo IR, Lee Y, Park SY, Jung CK. Giant cell tumor of the rib: two cases of F-18 FDG PET/CT findings. Nucl Med Mol Imaging. (2017) 51:182–5. doi: 10.1007/s13139-016-0442-9

PubMed Abstract | Crossref Full Text | Google Scholar

12. NCBI. ClinicalTrials.gov(2024). Available online at: https://clinicaltrials.gov/ (accessed July 24, 2024).

Google Scholar

13. Campanacci M, Baldini N, Boriani S, Sudanese A. Giant-cell tumor of bone. JBJS. (1987) 69:106–14. doi: 10.2106/00004623-198769010-00018

Crossref Full Text | Google Scholar

14. Errani C, Ruggieri P, Asenzio MAN, Toscano A, Colangeli S, Rimondi E, et al. Giant cell tumor of the extremity: a review of 349 cases from a single institution. Cancer Treat Rev. (2010) 36:1–7. doi: 10.1016/j.ctrv.2009.09.002

PubMed Abstract | Crossref Full Text | Google Scholar

15. Van der Heijden L, Dijkstra PS, van de Sande MA, Kroep JR, Nout RA, van Rijswijk CS, et al. The clinical approach toward giant cell tumor of bone. oncologist. (2014) 19:550–61. doi: 10.1634/theoncologist.2013-0432

PubMed Abstract | Crossref Full Text | Google Scholar

16. Knochentumoren A. Local recurrence of giant cell tumor of bone after intralesional treatment with and without adjuvant therapy. JBJS. (2008) 90:1060–7. doi: 10.2106/JBJS.D.02771

PubMed Abstract | Crossref Full Text | Google Scholar

17. Balke M, Schremper L, Gebert C, Ahrens H, Streitbuerger A, Koehler G, et al. Giant cell tumor of bone: treatment and outcome of 214 cases. J Cancer Res Clin Oncol. (2008) 134:969–78. doi: 10.1007/s00432-008-0370-x

PubMed Abstract | Crossref Full Text | Google Scholar

18. Lausten G, Jensen P, Schiødt T, Lund B. Local recurrences in giant cell tumour of bone: long-term follow up of 31 cases. Int Orthopaedics. (1996) 20:172–6. doi: 10.1007/s002640050057

PubMed Abstract | Crossref Full Text | Google Scholar

19. Turcotte RE, Wunder JS, Isler MH, Bell RS, Schachar N, Masri BA, et al. Giant cell tumor of long bone: a Canadian Sarcoma Group study. Clin Orthopaedics Related Research®. (2002) 397:248–58. doi: 10.1097/00003086-200204000-00029

PubMed Abstract | Crossref Full Text | Google Scholar

20. Ganesan K GA, Roane D. Bisphosphonate. Treasure Island, FL: StatPearls Publishing (2023). Available at: https://www.ncbi.nlm.nih.gov/books/NBK470248/.

Google Scholar

21. Nagano A, Urakawa H, Tanaka K, Ozaki T. Current management of giant-cell tumor of bone in the denosumab era. Japanese J Clin Oncol. (2022) 52:411–6. doi: 10.1093/jjco/hyac018

PubMed Abstract | Crossref Full Text | Google Scholar

22. Borkowska AM, Szumera-Cieckiewicz A, Szostakowski B, Pienkowski A, Rutkowski PL. Denosumab in giant cell tumor of bone: multidisciplinary medical management based on pathophysiological mechanisms and real-world evidence. Cancers (Basel). (2022) 14(9):2290. doi: 10.3390/cancers14092290

PubMed Abstract | Crossref Full Text | Google Scholar

23. Chawla S, Henshaw R, Seeger L, Choy E, Blay J-Y, Ferrari S, et al. Safety and efficacy of denosumab for adults and skeletally mature adolescents with giant cell tumour of bone: interim analysis of an open-label, parallel-group, phase 2 study. Lancet Oncol. (2013) 14:901–8. doi: 10.1016/S1470-2045(13)70277-8

PubMed Abstract | Crossref Full Text | Google Scholar

24. Rutkowski P, Ferrari S, Grimer RJ, Stalley PD, Dijkstra SP, Pienkowski A, et al. Surgical downstaging in an open-label phase II trial of denosumab in patients with giant cell tumor of bone. Ann Surg Oncol. (2015) 22:2860–8. doi: 10.1245/s10434-015-4634-9

PubMed Abstract | Crossref Full Text | Google Scholar

25. Errani C, Tsukamoto S, Leone G, Righi A, Akahane M, Tanaka Y, et al. Denosumab may increase the risk of local recurrence in patients with giant-cell tumor of bone treated with curettage. JBJS. (2018) 100:496–504. doi: 10.2106/JBJS.17.00057

PubMed Abstract | Crossref Full Text | Google Scholar

26. Traub F, Singh J, Dickson BC, Leung S, Mohankumar R, Blackstein ME, et al. Efficacy of denosumab in joint preservation for patients with giant cell tumour of the bone. Eur J cancer. (2016) 59:1–12. doi: 10.1016/j.ejca.2016.01.006

PubMed Abstract | Crossref Full Text | Google Scholar

27. Agarwal MG, Gundavda MK, Gupta R, Reddy R. Does denosumab change the giant cell tumor treatment strategy? Lessons learned from early experience. Clin Orthopaedics Related Research®. (2018) 476:1773–82. doi: 10.1007/s11999.0000000000000243

PubMed Abstract | Crossref Full Text | Google Scholar

28. Chinder PS, Hindiskere S, Doddarangappa S, Pal U. Evaluation of local recurrence in giant-cell tumor of bone treated by neoadjuvant denosumab. Clinics Orthopedic Surgery. (2019) 11:352. doi: 10.4055/cios.2019.11.3.352

PubMed Abstract | Crossref Full Text | Google Scholar

29. Chen Z, Yang Y, Guo W, Yang R, Tang X, Yan T, et al. Therapeutic benefits of neoadjuvant and post-operative denosumab on sacral giant cell tumor: a retrospective cohort study of 30 cases. J BU ON. (2018) 23:453–9.

PubMed Abstract | Google Scholar

30. Ghosh A, Heston WD. Tumor target prostate specific membrane antigen (PSMA) and its regulation in prostate cancer. J Cell Biochem. (2004) 91:528–39. doi: 10.1002/jcb.10661

PubMed Abstract | Crossref Full Text | Google Scholar

31. Murphy GP, Su S, Jarisch J, Kenny GM. Serum levels of PSMA. Prostate. (2000) 42:318–9. doi: 10.1002/(SICI)1097-0045(20000301)42:4<318::AID-PROS10>3.0.CO;2-L

Crossref Full Text | Google Scholar

32. Bacich DJ, Pinto JT, Tong WP, Heston WD. Cloning, expression, genomic localization, and enzymatic activities of the mouse homolog of prostate-specific membrane antigen/NAALADase/folate hydrolase. Mamm Genome. (2001) 12:117–23. doi: 10.1007/s003350010240

PubMed Abstract | Crossref Full Text | Google Scholar

33. Rajasekaran AK, Anilkumar G, Christiansen JJ. Is prostate-specific membrane antigen a multifunctional protein? Am J Physiol Cell Physiol. (2005) 288:C975–81. doi: 10.1152/ajpcell.00506.2004

PubMed Abstract | Crossref Full Text | Google Scholar

34. Liu H, Rajasekaran AK, Moy P, Xia Y, Kim S, Navarro V, et al. Constitutive and antibody-induced internalization of prostate-specific membrane antigen. Cancer Res. (1998) 58:4055–60. doi: 10.7150/thno.14744

PubMed Abstract | Crossref Full Text | Google Scholar

35. Chatalic KL, Heskamp S, Konijnenberg M, Molkenboer-Kuenen JD, Franssen GM, Clahsen-van Groningen MC, et al. Towards personalized treatment of prostate cancer: PSMA I&T, a promising prostate-specific membrane antigen-targeted theranostic agent. Theranostics. (2016) 6:849–61. doi: 10.7150/thno.14744

PubMed Abstract | Crossref Full Text | Google Scholar

36. Ganguly T, Dannoon S, Hopkins MR, Murphy S, Cahaya H, Blecha JE, et al. A high-affinity [(18)F]-labeled phosphoramidate peptidomimetic PSMA-targeted inhibitor for PET imaging of prostate cancer. Nucl Med Biol. (2015) 42:780–7. doi: 10.1016/j.nucmedbio.2015.06.003

PubMed Abstract | Crossref Full Text | Google Scholar

37. Haberkorn U, Eder M, Kopka K, Babich JW, Eisenhut M. New strategies in prostate cancer: prostate-specific membrane antigen (PSMA) ligands for diagnosis and therapy. Clin Cancer Res. (2016) 22:9–15. doi: 10.1158/1078-0432.CCR-15-0820

PubMed Abstract | Crossref Full Text | Google Scholar

38. Choy CJ, Ling X, Geruntho JJ, Beyer SK, Latoche JD, Langton-Webster B, et al. 177Lu-labeled phosphoramidate-based PSMA inhibitors: the effect of an albumin binder on biodistribution and therapeutic efficacy in prostate tumor-bearing mice. Theranostics. (2017) 7:1928–39. doi: 10.7150/thno.18719

PubMed Abstract | Crossref Full Text | Google Scholar

39. Ling X, Latoche JD, Choy CJ, Kurland BF, Laymon CM, Wu Y, et al. Preclinical dosimetry, imaging, and targeted radionuclide therapy studies of Lu-177-labeled albumin-binding, PSMA-targeted CTT1403. Mol Imaging Biology: MIB. (2019) 22(2):274–284. doi: 10.1007/s11307-019-01404-8

PubMed Abstract | Crossref Full Text | Google Scholar

40. Nedrow-Byers JR, Moore AL, Ganguly T, Hopkins MR, Fulton MD, Benny PD, et al. PSMA-targeted SPECT agents: mode of binding effect on in vitro performance. Prostate. (2013) 73:355–62.

PubMed Abstract | Google Scholar

41. Nedrow-Byers JR, Jabbes M, Jewett C, Ganguly T, He H, Liu T, et al. A phosphoramidate-based prostate-specific membrane antigen-targeted SPECT agent. Prostate. (2012) 72:904–12. doi: 10.1002/pros.22575

PubMed Abstract | Crossref Full Text | Google Scholar

42. Liu T, Wu LY, Kazak M, Berkman CE. Cell-Surface labeling and internalization by a fluorescent inhibitor of prostate-specific membrane antigen. Prostate. (2008) 68:955–64. doi: 10.1002/pros.20753

PubMed Abstract | Crossref Full Text | Google Scholar

43. Choy CJ, Geruntho JJ, Davis AL, Berkman CE. Tunable pH-sensitive linker for controlled release. Bioconjugate Chem. (2016) 27:824–30. doi: 10.1021/acs.bioconjchem.6b00027

PubMed Abstract | Crossref Full Text | Google Scholar

44. Choy CJ, Ley CR, Davis AL, Backer BS, Geruntho JJ, Clowers BH, et al. Second-generation tunable pH-sensitive phosphoramidate-based linkers for controlled release. Bioconjugate Chem. (2016) 27:2206–13. doi: 10.1021/acs.bioconjchem.6b00422

PubMed Abstract | Crossref Full Text | Google Scholar

45. Olatunji FP, Savoy EA, Panteah M, Mesbahi N, Abbasi A, Talley CM, et al. Prostate-specific membrane antigen-targeted turn-on probe for imaging cargo release in prostate cancer cells. Bioconjugate Chem. (2021) 32:2386–96. doi: 10.1021/acs.bioconjchem.1c00435

PubMed Abstract | Crossref Full Text | Google Scholar

46. Bostwick DG. The pathology of early prostate cancer. CA Cancer J Clin. (1989) 39:376–93. doi: 10.3322/canjclin.39.6.376

PubMed Abstract | Crossref Full Text | Google Scholar

47. Hasan J, Byers R, Jayson GC. Intra-tumoural microvessel density in human solid tumours. Br J cancer. (2002) 86:1566–77. doi: 10.1038/sj.bjc.6600315

PubMed Abstract | Crossref Full Text | Google Scholar

48. Sharma S, Sharma MC, Sarkar C. Morphology of angiogenesis in human cancer: a conceptual overview, histoprognostic perspective and significance of neoangiogenesis. Histopathology. (2005) 46:481–9. doi: 10.1111/j.1365-2559.2005.02142.x

PubMed Abstract | Crossref Full Text | Google Scholar

49. Lissbrant IF, Stattin P, Damber JE, Bergh A. Vascular density is a predictor of cancer-specific survival in prostatic carcinoma. Prostate. (1997) 33:38–45. doi: 10.1002/(SICI)1097-0045(19970915)33:1<38::AID-PROS7>3.0.CO;2-5

Crossref Full Text | Google Scholar

50. Chang SS, O'Keefe DS, Bacich DJ, Reuter VE, Heston WD, Gaudin PB. Prostate-specific membrane antigen is produced in tumor-associated neovasculature. Clin Cancer Res. (1999) 5:2674–81.

PubMed Abstract | Google Scholar

51. Chang SS, Reuter VE, Heston WD, Gaudin PB. Comparison of anti-prostate-specific membrane antigen antibodies and other immunomarkers in metastatic prostate carcinoma. Urology. (2001) 57:1179–83. doi: 10.1016/S0090-4295(01)00983-9

PubMed Abstract | Crossref Full Text | Google Scholar

52. Grant CL, Caromile LA, Durrani K, Rahman MM, Claffey KP, Fong G-H, et al. Prostate specific membrane antigen (PSMA) regulates angiogenesis independently of VEGF during ocular neovascularization. PloS One. (2012) 7:e41285. doi: 10.1371/journal.pone.0041285

PubMed Abstract | Crossref Full Text | Google Scholar

53. Paul SM, Mytelka DS, Dunwiddie CT, Persinger CC, Munos BH, Lindborg SR, et al. How to improve R&D productivity: the pharmaceutical industry's grand challenge. Nat Rev Drug discovery. (2010) 9:203–14. doi: 10.1038/nrd3078

PubMed Abstract | Crossref Full Text | Google Scholar

54. Adams CP, Brantner VV. Estimating the cost of new drug development: is it really $802 million? Health Affairs. (2006) 25:420–8. doi: 10.1377/hlthaff.25.2.420

PubMed Abstract | Crossref Full Text | Google Scholar

55. Nosengo N. Can you teach old drugs new tricks? Nature. (2016) 534:314–6. doi: 10.1038/534314a

PubMed Abstract | Crossref Full Text | Google Scholar

56. Smietana K, Siatkowski M, Moller M. Trends in clinical success rates. Nat Rev Drug Discovery. (2016) 15:379–80. doi: 10.1038/nrd.2016.85

PubMed Abstract | Crossref Full Text | Google Scholar

57. Armando RG, Mengual Gómez DL, Gomez DE. New drugs are not enough−drug repositioning in oncology: An update. Int J Oncol. (2020) 56:651–84. doi: 10.3892/ijo.2020.4966

PubMed Abstract | Crossref Full Text | Google Scholar

58. Parvathaneni V, Kulkarni NS, Muth A, Gupta V. Drug repurposing: a promising tool to accelerate the drug discovery process. Drug Discovery Today. (2019) 24:2076–85. doi: 10.1016/j.drudis.2019.06.014

PubMed Abstract | Crossref Full Text | Google Scholar

59. Pritchard JE, O'Mara TA, Glubb DM. Enhancing the promise of drug repositioning through genetics. Front Pharmacol. (2017) 8:896. doi: 10.3389/fphar.2017.00896

PubMed Abstract | Crossref Full Text | Google Scholar

60. Dhull A, Wei J, Pulukuri AJ, Rani A, Sharma R, Mesbahi N, et al. PSMA-targeted dendrimer as an efficient anticancer drug delivery vehicle for prostate cancer. Nanoscale. (2024) 16:5634–52. doi: 10.1039/D3NR06520K

PubMed Abstract | Crossref Full Text | Google Scholar

61. Moch H. Soft tissue and bone tumours WHO classification of tumours/volume 3 Vol. 3. WHO classification of tumours (2020).

Google Scholar

62. Papageorgiou SN. On correlation coefficients and their interpretation. J Orthod. (2022) 49:359–61. doi: 10.1177/14653125221076142

PubMed Abstract | Crossref Full Text | Google Scholar

63. Dannoon S, Ganguly T, Cahaya H, Geruntho JJ, Galliher MS, Beyer SK, et al. Structure-activity relationship of (18)F-labeled phosphoramidate peptidomimetic prostate-specific membrane antigen (PSMA)-targeted inhibitor analogues for PET imaging of prostate cancer. J Med Chem. (2016) 59:5684–94. doi: 10.1021/acs.jmedchem.5b01850

PubMed Abstract | Crossref Full Text | Google Scholar

64. Lapi SE, Wahnishe H, Pham D, Wu LY, Nedrow-Byers JR, Liu T, et al. Assessment of an 18F-labeled phosphoramidate peptidomimetic as a new prostate-specific membrane antigen-targeted imaging agent for prostate cancer. J Nucl Med. (2009) 50:2042–8. doi: 10.2967/jnumed.109.066589

PubMed Abstract | Crossref Full Text | Google Scholar

65. Liu T, Jabbes M, Nedrow-Byers JR, Wu LY, Bryan JN, Berkman CE. Detection of prostate-specific membrane antigen on HUVECs in response to breast tumor-conditioned medium. Int J Oncol. (2011) 38(5):1349–55. doi: 10.3892/ijo.2011.946

PubMed Abstract | Crossref Full Text | Google Scholar

66. Liu T, Nedrow-Byers JR, Hopkins MR, Berkman CE. Spacer length effects on in vitro imaging and surface accessibility of fluorescent inhibitors of prostate specific membrane antigen. Bioorganic Medicinal Chem Letters. (2011) 21:7013–6. doi: 10.1016/j.bmcl.2011.09.115

PubMed Abstract | Crossref Full Text | Google Scholar

67. Liu T, Wu LY, Berkman CE. Prostate-specific membrane antigen-targeted photodynamic therapy induces rapid cytoskeletal disruption. Cancer letters. (2010) 296:106–12. doi: 10.1016/j.canlet.2010.04.003

PubMed Abstract | Crossref Full Text | Google Scholar

68. Liu T, Wu LY, Choi JK, Berkman CE. In vitro targeted photodynamic therapy with a pyropheophorbide–a conjugated inhibitor of prostate-specific membrane antigen. Prostate. (2009) 69:585–94. doi: 10.1002/pros.20909

PubMed Abstract | Crossref Full Text | Google Scholar

69. Liu T, Wu LY, Choi JK, Berkman CE. Targeted photodynamic therapy for prostate cancer: inducing apoptosis via activation of the caspase-8/-3 cascade pathway. Int J Oncol. (2010) 36:777–84. doi: 10.3892/ijo_00000553

PubMed Abstract | Crossref Full Text | Google Scholar

70. Liu T, Wu LY, Hopkins MR, Choi JK, Berkman CE. A targeted low molecular weight near-infrared fluorescent probe for prostate cancer. Bioorganic Medicinal Chem Letters. (2010) 20:7124–6. doi: 10.1016/j.bmcl.2010.09.057

PubMed Abstract | Crossref Full Text | Google Scholar

71. Nedrow-Byers JR, Jabbes M, Jewett C, Ganguly T, He H, Liu T, et al. A phosphoramidate-based prostate-specific membrane antigen-targeted SPECT agent. Prostate. (2011) 72:904–12. doi: 10.1002/pros.21493

PubMed Abstract | Crossref Full Text | Google Scholar

72. Wu LY, Liu T, Grimm AL, Davis WC, Berkman CE. Flow cytometric detection of prostate tumor cells using chemoaffinity labels. Prostate. (2011) 71:52–61. doi: 10.1002/pros.21221

PubMed Abstract | Crossref Full Text | Google Scholar

73. Lee J, Chen H, Liu T, Berkman CE, Reilly PT. High resolution time-of-flight mass analysis of the entire range of intact singly-charged proteins. Analytical Chem. (2011) 83:9406–12. doi: 10.1021/ac202001z

PubMed Abstract | Crossref Full Text | Google Scholar

74. Martin SE, Ganguly T, Munske GR, Fulton MD, Hopkins MR, Berkman CE, et al. Development of inhibitor-directed enzyme prodrug therapy (IDEPT) for prostate cancer. Bioconjugate Chem. (2014) 25:1752–60. doi: 10.1021/bc500362n

PubMed Abstract | Crossref Full Text | Google Scholar

75. Liu T, Toriyabe Y, Kazak M, Berkman CE. Pseudoirreversible inhibition of prostate-specific membrane antigen by phosphoramidate peptidomimetics. Biochemistry. (2008) 47:12658–60. doi: 10.1021/bi801883v

PubMed Abstract | Crossref Full Text | Google Scholar

76. Yoon H, Savoy EA, Mesbahi N, Hendricksen AT, March GL, Fulton MD, et al. A PSMA-targeted doxorubicin small-molecule drug conjugate. Bioorg Med Chem Lett. (2024) 104:129712. doi: 10.1016/j.bmcl.2024.129712

PubMed Abstract | Crossref Full Text | Google Scholar

77. Bone HG, Wagman RB, Brandi ML, Brown JP, Chapurlat R, Cummings SR, et al. 10 years of denosumab treatment in postmenopausal women with osteoporosis: results from the phase 3 randomised FREEDOM trial and open-label extension. Lancet Diabetes Endocrinology. (2017) 5:513–23. doi: 10.1016/S2213-8587(17)30138-9

PubMed Abstract | Crossref Full Text | Google Scholar

78. Smith MR, Egerdie B, Toriz NH, Feldman R, Tammela TL, Saad F, et al. Denosumab in men receiving androgen-deprivation therapy for prostate cancer. New Engl J Med. (2009) 361:745–55. doi: 10.1056/NEJMoa0809003

PubMed Abstract | Crossref Full Text | Google Scholar

79. Henry DH, Costa L, Goldwasser F, Hirsh V, Hungria V, Prausova J, et al. Randomized, double-blind study of denosumab versus zoledronic acid in the treatment of bone metastases in patients with advanced cancer (excluding breast and prostate cancer) or multiple myeloma. J Clin Oncol. (2011) 29:1125–32. doi: 10.1200/JCO.2010.31.3304

PubMed Abstract | Crossref Full Text | Google Scholar

80. Thomas D, Henshaw R, Skubitz K, Chawla S, Staddon A, Blay J-Y, et al. Denosumab in patients with giant-cell tumour of bone: an open-label, phase 2 study. Lancet Oncol. (2010) 11:275–80. doi: 10.1016/S1470-2045(10)70010-3

PubMed Abstract | Crossref Full Text | Google Scholar

81. Becker RG, Galia CR, Pestilho J, Antunes BP, Baptista AM, Guedes A. Giant cell tumor of bone: a multicenter epidemiological study in Brazil. Acta Ortop Bras. (2024) 32:e273066. doi: 10.1590/1413-785220243201e273066

PubMed Abstract | Crossref Full Text | Google Scholar

82. Lipplaa A, Kroep JR, van der Heijden L, Jutte PC, Hogendoorn PC, Dijkstra S, et al. Adjuvant zoledronic acid in high-risk giant cell tumor of bone: a multicenter randomized phase II trial. oncologist. (2019) 24:889–e421. doi: 10.1634/theoncologist.2019-0280

PubMed Abstract | Crossref Full Text | Google Scholar

83. Lau CP, Huang L, Wong KC, Kumta SM. Comparison of the anti-tumor effects of denosumab and zoledronic acid on the neoplastic stromal cells of giant cell tumor of bone. Connective Tissue Res. (2013) 54:439–49. doi: 10.3109/03008207.2013.848202

PubMed Abstract | Crossref Full Text | Google Scholar

84. De Vita A, Vanni S, Miserocchi G, Fausti V, Pieri F, Spadazzi C, et al. A Rationale for the activity of bone target therapy and tyrosine kinase inhibitor combination in giant cell tumor of bone and desmoplastic fibroma: translational evidences. Biomedicines. (2022) 10(2):372. doi: 10.3390/biomedicines10020372

PubMed Abstract | Crossref Full Text | Google Scholar

85. Heitkötter B, Trautmann M, Grünewald I, Bögemann M, Rahbar K, Gevensleben H, et al. Expression of PSMA in tumor neovasculature of high grade sarcomas including synovial sarcoma, rhabdomyosarcoma, undifferentiated sarcoma and MPNST. Oncotarget. (2017) 8:4268–76. doi: 10.18632/oncotarget.13994

PubMed Abstract | Crossref Full Text | Google Scholar

86. Parihar AS, Sood A, Mittal BR, Kumar R, Singh H, Dhatt SS. 68Ga-PSMA-HBED-CC PET/CT and 18F-FDG PET/CT in Ewing sarcoma. Clin Nucl Med. (2020) 45:e57–e8. doi: 10.1097/RLU.0000000000002764

PubMed Abstract | Crossref Full Text | Google Scholar

87. Can C, Gündoğan C, Kömek H. Is 68Ga-prostate-specific membrane antigen PET/CT superior than 18F-FDG PET/CT for evaluation of metastatic osteosarcoma? Clin Nucl Med. (2021) 46:e233–e5. doi: 10.1097/RLU.0000000000003320

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: prostate specific membrane antigen (PSMA), repurposable drugs, Pluvicto, Locametz, giant cell tumor of bone (GCTB)

Citation: McAllister BC, Mesbahi N, Dodson EE, Abdulsalam S, Berkman CE and Caromile LA (2024) Repurposing of PSMA-targeted diagnostic and therapeutic agents for the detection and treatment of giant cell tumors of bone. Front. Oncol. 14:1504514. doi: 10.3389/fonc.2024.1504514

Received: 30 September 2024; Accepted: 24 October 2024;
Published: 15 November 2024.

Edited by:

Alma D. Campos-Parra, Universidad Veracruzana, Mexico

Reviewed by:

Alessandro De Vita, Scientific Institute of Romagna for the Study and Treatment of Tumors (IRCCS), Italy
Gerardo Cuamani-Mitznahuatl, ABC Medical Center, Mexico

Copyright © 2024 McAllister, Mesbahi, Dodson, Abdulsalam, Berkman and Caromile. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Leslie A. Caromile, Y2Fyb21pbGVAdWNoYy5lZHU=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.