Next Article in Journal
Clinical Viability of Boron Neutron Capture Therapy for Personalized Radiation Treatment
Previous Article in Journal
Targeting Breast Cancer-Derived Stem Cells by Dietary Phytochemicals: A Strategy for Cancer Prevention and Treatment
Previous Article in Special Issue
Denosumab in Giant Cell Tumor of Bone: Multidisciplinary Medical Management Based on Pathophysiological Mechanisms and Real-World Evidence
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Bone Turnover Marker (BTM) Changes after Denosumab in Giant Cell Tumors of Bone (GCTB): A Phase II Trial Correlative Study

by
Emanuela Palmerini
1,*,
Laura Pazzaglia
2,
Luca Cevolani
3,
Loredana Pratelli
4,
Michela Pierini
1,
Irene Quattrini
5,
Elisa Carretta
1,
Maria Cristina Manara
2,
Michela Pasello
2,
Giorgio Frega
1,
Anna Paioli
1,
Alessandra Longhi
1,
Marilena Cesari
1,
Rossella Hakim
1,
Toni Ibrahim
1,
Laura Campanacci
3,
Eric Lodewijk Staals
3,
Davide Maria Donati
3,
Maria Serena Benassi
2,
Katia Scotlandi
2 and
Stefano Ferrari
1
add Show full author list remove Hide full author list
1
Osteoncology, Bone and Soft Tissue Sarcoma and Innovative Therapy, IRCCS Istituto Ortopedico Rizzoli, Via Pupilli 1, 40136 Bologna, Italy
2
SSD Laboratory of Experimental Oncology, IRCCS Istituto Ortopedico Rizzoli, Via di Barbiano 1/10, 40136 Bologna, Italy
3
Third Orthopaedic Clinic and Traumatology, IRCCS Istituto Ortopedico Rizzoli, Via Pupilli 1, 40136 Bologna, Italy
4
Department of Pathology, IRCCS Istituto Ortopedico Rizzoli, Via Pupilli 1, 40136 Bologna, Italy
5
Scientific Direction IRCCS Istituto Ortopedico Rizzoli, Via Pupilli 1, 40136 Bologna, Italy
*
Author to whom correspondence should be addressed.
Cancers 2022, 14(12), 2863; https://doi.org/10.3390/cancers14122863
Submission received: 19 April 2022 / Revised: 30 May 2022 / Accepted: 7 June 2022 / Published: 10 June 2022
(This article belongs to the Special Issue Research Advances in Giant Cell Tumor of Bone)

Abstract

:

Simple Summary

Giant cell tumors of bone (GCTB) are a histologically benign, yet often aggressive, skeletal tumor. Surgery is the only potentially curative treatment option, but may be associated with severe morbidity and loss of function. Denosumab, a monoclonal antibody directed to RANK ligand, is approved for GCTB treatment. Here we report the results of a phase II correlative study on sBTMs (carboxytermnal-crosslinked-telopeptide of type I collagen (s-CTX), alkaline phosphatase (ALP), bone-alkaline phosphatase (bALP), parathyroid hormone (sPTH), and osteocalcin (OCN) in GCTB patients treated with denosumab. The main finding of the present research is that the use of denosumab in patients with GCTB induces the bALP/ALP/OCN and s-CTX reduction, with a concomitant increase in sPTH. High baseline s-CTX identifies a group of patients at higher risk of progression of the disease. Stratification of the GCTB patients based on s-CTX might guide type of surgery and follow-up.

Abstract

Background: Giant cell tumors of bone (GCTB) are osteolytic tumors. Denosumab, a RANK-L inhibitor, is approved for GCTB. Data on serum bone turnover marker (sBTM) changes are lacking. We present a phase II correlative study on sBTMs in GCTB patients treated with denosumab. Methods: All GCTB patients receiving denosumab within a multicentre, open-label, phase 2 study were enrolled. Serum levels of carboxyterminal-crosslinked-telopeptide of type I collagen (s-CTX), alkaline phosphatase (ALP), bone-alkaline phosphatase (bALP), parathyroid hormone (sPTH), and osteocalcin (OCN) were prospectively assessed (baseline, T0, 3 months, T1, 6 months, T2). The primary endpoint was assessment of sBTM changes after denosumab; the secondary endpoints were disease-free survival (DFS) and sBTM correlation. Results: In 54 cases, sBTMs decreased during denosumab treatment except for sPTH. With a median follow-up of 59 months, 3-year DFS was 65% (%CI 52–79), with a significantly worse outcome for patients with high (≥500 UI/mL) s-CTX at baseline, as compared to low s-CTX (<500 UI/mL) (3-year DFS for high CTX 45% (95%CI 23–67) vs. 75% (95%CI 59–91) for low s-CTX. Higher median ALP and s-CTX were found for patients with tumor size ≥ 5 cm (p = 0.0512; p = 0.0589). Conclusion: Denosumab induces ALP/OCN and s-CTX reduction. High baseline s-CTX identifies a group of patients at higher risk of progression of the disease.

1. Introduction

Giant-cell tumor of the bone (GCTB) is a benign but aggressive skeletal neoplasm, with a high recurrence rate of between 33 and 50% after curettage and resection [1,2]. The typical histological appearance is that of abundant giant cells with a benign spindle cell background [3]. Giant cells are osteoclast-like cells originating from hematopoietic stem cells and expressing tartrate-resistant acid phosphatase (TRAP), cathepsin K, calcitonin receptor and vitronectin receptor [4]. Cytogenetically, the most common chromosome aberrations are telomeric associations involving multiple chromosomes [5]. Recently, mutations of the H3F3A gene at the Gly34 codon, mostly G34W resulting from a GGG > TGG nucleotide change, have been identified in the vast majority of this tumor [6].
The standard treatment is curettage or wide resection. Preoperative arterial embolization, intralesional curettage, or radiation therapy are alternative procedures when curettage or resection are not feasible [7,8]. Lung metastasis from a GCTB is rare; it is observed in 2–10% of patients with GCTB [1]. Since 2013, a medical treatment with denosumab, Xgeva®, was approved for patients with GCTB.
Denosumab is a fully human monoclonal antibody against the receptor activator of nuclear factor κB (RANK) ligand (RANKL). RANKL facilitates the differentiation of osteoclast precursors into osteoclasts, resulting in bone resorption [9]. This is important in the regulation of bone growth and turnover. Several serum markers are available to assess the bone turnover [10]. The main serum bone turnover markers (sBTMs), can be classified in two groups: markers of bone formation, products of osteoblast activity bone-alkaline phosphatase (bALP) and osteocalcin (OCN), and markers of bone resorption, such as carboxyterminal-crosslinked-telopeptide of type I collagen (s-CTX) [11,12]. A key molecule in bone turnover is parathyroid hormone (PTH), a major endocrine inducer of bone remodeling that stimulates osteoblasts and indirectly activates osteoclasts by regulating receptor activator of NF-κB ligand (RANKL) and osteoprotegerin in osteoblast-lineage cells [13,14]. sBTMs showed good prognostic ability to predict bone-specific recurrence in breast cancer [15]. They also provided valuable prognostic information in patients with bone metastases receiving bisphosphonate [15].
Prospectively collected data on serum bone turnover marker (sBTM) changes after denosumab in patients with GCTBs are lacking. We present a phase II correlative study, conducted in one referral center. The primary endpoint was assessment of sBTM changes after denosumab; the secondary endpoints were disease-free survival (DFS) and sBTM correlation.

2. Materials and Methods

2.1. Design and Patients

All GCTB patients underwent imaging studies for diagnostic purposes including plain radiographs and MRI-scans. Histologic confirmation was obtained in all cases through a trocar needle biopsy, either under image intensifier or CT-guided. Prior to starting, and during, denosumab treatment, serial CT-scans of the bone lesion were performed every 3 months. Cases were discussed during a multidisciplinary tumor board for sarcomas, during which the treatment approach was determined.
All GCTB patients receiving denosumab (120 mg on days 1, 8, 15, 29, and every 4-weeks thereafter) within a multicenter, open-label, phase 2 study (NCT00680992) were enrolled.
Inclusion criteria for the phase II study were as follows: adults or skeletally mature adolescents (aged ≥12 years) weighing at least 45 kg with pathologically confirmed GCTB, a Karnofsky performance status of 50% or higher (or Eastern Cooperative Oncology Group status 0, 1, or 2), and measurable active disease within 1 year of study enrolment. Active disease was defined as imaging evidence of osteolysis within the tumor or increasing symptoms such as pain, in conjunction with histopathology showing evidence of giant cells. Patients with a known or suspected diagnosis of sarcoma, non-GCTB giant-cell rich tumors, brown cell tumor of bone, or Paget disease, history or current evidence of osteonecrosis or osteomyelitis of the jaw, or those who required oral surgery or had unhealed dental or oral surgery were excluded. Exclusion criteria also included the current use of alternative GCTB treatments (e.g., radiation, chemotherapy, embolization, or bisphosphonates). All patients provided written informed consent.
According to the protocol, patients were divided into two cohorts on the basis of surgical salvageability (cohort 1: unresectable, and cohort 2: resectable) (Table 1). Surgery after denosumab was scheduled after 6 months on treatment. Five patients judged resectable at study entry did not eventually undergo surgery and were continued on denosumab. The inclusion criterium for the present correlative sBTM study was the presence of bone disease; patients with lung-only disease were excluded.
Serum levels of s-CTX, ALP, bALP, sPTH, and OCN were prospectively assessed. Serum samples were taken at baseline and repeated at three-month intervals: baseline, T0, 3-months T1, and 6-months T2.

2.2. sBTM Expression Levels in Serum Analysis

Blood samples collected at different time points were centrifuged at 5000× g for five minutes to obtain serum samples. s-CTX, bALP and OCN levels were measured with enzyme linked immunosorbent assay (ELISA), ALP was measured with the colorimetric method, and the measurement of PTH was made by the chemiluminescence method. In particular, s-CTX was measured using β Crosslaps/serum kit (Roche Pharma AG, Reinacach BL, Swiss, Basel, Switzerland), ALP was measured using Alkaline Phospahte kit (Roche Pharma AG, Reinacach BL, Swiss); bALP was measured using Tandem–R Ostease kit (Becman Coulter Italia, Roma, Italy); sPTH was measured using PTH kit (Roche Pharma AG, Reinacach BL, Swiss) and OCN was measured by N-MID Osteocalcin kit (Roche Pharma AG, Reinacach BL, Swiss). All the analyses were performed by using Elecsys and Cobas 6000 instruments (Roche, Basel, Switzerland).

2.3. Statistics

Descriptive statistics were performed for all variables by median value and range, frequency and percentage. BMT analysis was conducted in the whole series (cohort 1 and 2). Baseline sBTM values were compared between tumor size (≤5 cm, >5 cm) and age (<50 years, ≥50 years) using the Wilcoxon–Mann Whitney test. Nonparametric repeated-measures analysis of variance (ANOVA), followed by the Tukey multiple comparison test at each time point were used to evaluate sBTM expression level over time.
Threshold values were set to the sBTM median value and patients were stratified into two groups (high and low expression).
Kaplan–Meier analysis on DFS was performed; an event was defined as recurrence of disease after surgery. For all tests, p < 0.05 was considered significant. All statistical analyses were performed with IBM SPSS Statistic 21.0 (IBM™ Corp, Armonk, NY, USA).

3. Results

3.1. Clinical Presentation

From 2006 to 2015, 54 cases were identified. Three cases with lung metastases and no bone involvement at the time of treatment with denosumab were excluded (Figure 1). This left 51 patients for the present analysis: 22 male and 29 females. The median age was 37 years (range: 17–76 years) and the most frequent primary tumor locations were radius (12 cases) and sacrum + pelvis (14 cases) (Table 1 and Figure 2). All patients were treated with denosumab for longer than 1 year.
Eight/fifty-one (16%) patients had surgically unresectable GCTB (cohort 1) and underwent denosumab for a median of 65 months (range 23–85 months).
Forty-three/fifty-one (84%) had surgically resectable GCTB (cohort 2). Thirty-nine/forty-three (91%) patients with resectable disease underwent surgery after a median of 8 months (range 6 to 36 months): a resection in 7/39 and a curettage in 32/39. Six months post-operative treatment with denosumab was administrated as per the protocol.

3.2. Serum Bone Turnover Markers (sBMT)

At baseline, the median level of BTMs were: s-CTX: 427 pg/mL (range 23–1692 pg/mL); ALP: 83 U/L (43–411 U/L); bALP: 13 μg/L; (5.2–48.8 μg/L); sPTH: 29 pg/mL (7–101.4 pg/mL); OCN 23 ng/mL (2.9–47.3 ng/mL) (Figure 3).
Higher median ALP and s-CTX at baseline were observed in patients with tumor size ≥ 5 cm as compared with patients with tumor size < 5 cm but the differences did not reach statistical significance (p = 0.0512 and p = 0.0589). (Table 2). No statistically significant difference was also found for sBMT median value at baseline for patients aged ≥50 years, versus those <50 years (ALP p = 0.67; bALP p = 0.72; sPTH p = 0.16; OCN p = 0.44; s-CTX p = 0.11). After denosumab ALP, OCN and s-CTX decreased at T1 and this reduction was confirmed at T2 for s-CTX and OCN. An increasing trend was observed for sPTH although not statistically significant (Figure 3).

3.3. Serum Bone Turnover Markers (sBMTs)

With a median follow-up of 59 months (IQR: 45–66), the 3-year DFS was 65% (95%CI 52–79), with a significantly worse outcome for patients with high (≥500 UI/mL) s-CTX at baseline, as compared to low s-CTX (<500 UI/mL) (3-year DFS for high s-CTX was 45% (95%CI 23–67) vs. 75% (95%CI 59–91) for low s-CTX). No differences were found in 3-year DFS according to bALP, ALP, OCN and sPTH (Table 3).
In the subgroup of patients of cohort 2, at the time of analysis 20 out 39 (51%) were relapsed after surgery: 2/7, 29% after resection; and 18/32, 56% after curettage (p = 0.2351). The 3-year DFS was 35% (95%CI 15–57), for patients with high (≥500 UI/mL) s-CTX at baseline, and the 3-year DFS was 61% (95%CI 36–78) with low s-CTX (<500 UI/mL) (Figure 4).

4. Discussion

GCTB is an uncommon benign primary tumor that mainly affects long bone. It is locally aggressive and occasionally metastasizes to the lungs [16].
Surgery is the only potentially curative treatment option for patients with GCTB, but may be associated with severe morbidity and loss of function [17].
Increased RANKL in the bone microenvironment upregulates osteoclastogenesis and the activation of mature osteoclasts, resulting in increased bone resorption. The subsequent release of growth factors and calcium into the bone microenvironment stimulates additional proliferation of tumor cells and release of tumor-derived factors, and thus further increases the RANKL/OPG ratio, thereby promoting continued RANKL-dependent osteoclast-mediated bone destruction [18].
Denosumab, an human monoclonal antibody specific for RANKL, inhibits the formation, activation, and survival of osteoclasts, decreasing bone resorption and reducing cancer-induced bone destruction [19], and is approved for the treatment of patients with osteoporosis, bone metastases and GCTBs.
Furthermore, literature data suggest that genes involved in bone vascular formation, such as OPG and VEGF seem to have a potential role as new antiangiogenic generation drugs, including the multitarget tyrosine-kinase inhibitor lenvatinib. Interestingly, the combination of denosumab and lenvatinib seems to be a promising therapeutic strategy in GCTB [20,21].
This study demonstrated that s-CTX, ALP and osteocalcin OCN were significantly reduced after 3 months of treatment with denosumab in all patients with GCTBs.
The GCTB stromal cells are the major neoplastic and proliferative component of GCTBs and highly express receptor activation of nuclear factor-kappa β (RANK) ligand [22,23]. In bone osteolytic tumors, as well as GCTBs, the massive bone resorption is triggered by the RANKL/RANK axis that stimulates osteoclast-dependent and -independent pathways via activation of intracellular mediators [24].
The standard of care for GCTB is surgery (intralesional curettage or resection) with a high relapse rate [2,9]. The approval of denosumab has changed the therapeutic armamentarium for patients with GCTB [25]. While the role of denosumab in the setting of advanced and unresectable disease is well established, its role in surgically resectable disease is currently under discussion [26].
The ability to determine bone turnover with biochemical markers has been well known for several years [11] but data on BTM changes in patients with GCTBs undergoing denosumab treatment are lacking.
We aimed to describe BTM changes over time in GCTB patients undergoing treatment with denosumab within a phase II prospective clinical trial, in order to identify prognostic and early predictors of relapse.
Several studies analyzed the role of BMTs and tumor progression, in order to identify clinical validation prognostic biomarkers [8]. Serum bALP concentrations significantly correlated with the extent of bone involvement in bone metastases of several bone-homing tumors (breast, prostate and lung) [12]. Higher levels of serum bALP in patients with bone metastases as compared with patients without bone lesions have been shown [27]. Furthermore, high serum levels of bALP at baseline were associated with increased risks of disease progression in malignant carcinomas; in particular Lipton et al. [14] showed that after 3 months of treatment with denosumab, patients with bALP ≥ median value had a significantly reduced overall survival (OS) at 3 months, as compared with those who had bALP levels < median.
Bone resorption inhibitors, including denosumab, are associated with BMT reduction in several solid tumors. In a study on breast cancer, patients treated with denosumab had significant suppression of BMTs compared to baseline, and remained suppressed throughout the 2 years [28].
Interestingly, s-CTX high serum levels at baseline seems to represent a poor prognostic factor for patients undergoing surgery after neoadjuvant denosumab, with a 3-year DFS of 35% as compared to a 3-year DFS of 61% for those patients with low s-CTX. This result has a particular relevance due to the lack of association with increased s-CTX at baseline and size > 5 cm. This finding is in line with data on breast cancer, and Brown et al. demonstrated that high baseline s-CTX was prognostic for future bone recurrence at any time [29]. Baseline levels of s-CTX should be incorporated into GCTB patient work-up and might support clinical decisions such as the surgical approach. This finding is particularly relevant since the approval of denosumab has changed the therapeutic armamentarium for GCTB, but the optimal treatment strategy, including the role of neoadjuvant denosumab [26] and the type of surgery after denosumab-induced changes, is still to be defined. The treatment of choice for this subgroup of patients should be resection or aggressive curettage with adjuvant therapy, while simple curettage might be adequate for patients with low s-CTX at baseline [30]. Furthermore, these data might indicate that patients with an high baseline s-CTX would benefit from closer follow-up with CT or MRI as imaging of choice, within the first two years post-surgery, while patients with low-s-CTX at baseline might be followed with six-monthly plain radiograph X-ray. These suggestions should be confirmed in a larger series.
Denosumab lowered OCN in patients with GCTB, similar to what occurs in postmenopausal women treated with the same drug for osteoporosis [31]. Among BTMs, PTH showed an increasing trend by denosumab. Several factors secreted by tumor cells stimulate osteoclast activity and bone resorption and among them, PTH was the first to be recognized as involved in malignant osteolysis: in breast cancer cells, treatment with the antibody anti-PTH reduced the development of osteolytic lesions [32] by regulating the RANKL/RANK axis. In murine models, PTH improves bone mineral density by increasing osteoblast differentiation and reducing tumor cells migration [33]. In our series, PTH levels were increased after 3 months of denosumab treatment. Similarly, an increase in the PTH level has been reported in postmenopausal women undergoing denosumab for osteoporosis and is associated with greater bone mineral density and greater inhibition of bone remodeling compared with zoledronic acid [34]. Although not statistically significant, our findings revealed a positive correlation between high medium ALP at baseline and tumor size (>5 cm).
These factors are prognostic in another primary tumor [35]. The major limitation of this series is the lack of long-term BTM data, both for patients with inoperable GCTB undergoing continuous long-term denosumab treatment and for patients after denosumab interruption. Based on our findings, monitoring of BTMs after denosumab suspension and at relapse might offer some guidance on the treatment schedule, including monthly versus 3-monthly schedule or the discontinuation approach. This might be relevant since while denosumab was generally well tolerated, as reported [10], a dose-dependent increase in the risk of osteonecrosis of the jaw was demonstrated [10].

5. Conclusions

The use of denosumab in patients with GCTBs induces a generalized reduction in ALP, OCN and s-CTX. High baseline s-CTX, a marker of bone resorption, identifies a group of patients at higher risk of progression of the disease. These findings might guide identification of patients with higher risk of relapse and might support multidisciplinary team decisions on neoadjuvant use of denosumab.

Author Contributions

Conceptualization, E.P., S.F. and M.S.B.; methodology, L.P. (Laura Pazzaglia), I.Q., M.P. (Michela Pierini) and L.P. (Loredana Pratelli); analysis, E.C. and L.C. (Luca Cevolani); investigation, M.C.M., M.P. (Michela Pasello), G.F., A.P., A.L., M.C. and R.H.; resources, L.C. (Laura Campanacci) and E.L.S.; data curation, E.P. and M.P. (Michela Pierini); writing—original draft preparation, E.P., L.P. (Laura Pazzaglia), S.F., L.C. (Luca Cevolani) and L.C. (Laura Campanacci); writing—review and editing, all the authors.; supervision, T.I., D.M.D. and K.S.; funding acquisition, E.P. and S.F. All authors have read and agreed to the published version of the manuscript.

Funding

The research leading to these results has received funding from Associazione Mario Campanacci. (https://www.associazionemariocampanacci.it/) and Ricerca Corrente contributions from the Italian Ministry of Health to the Istituto Ortopedico Rizzoli.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki ethical guidelines. The ethical committee of the Istituto Rizzoli approved the study 46/2008-20062004.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

All data generated or analyzed during this study are included in this manuscript.

Conflicts of Interest

Emanuela Palmerini has served on advisory boards for Amgen and Deciphera, Eusa Pharma, and SynOx Therapeutics outside the submitted work.

References

  1. Mendenhall, W.M.; Zlotecki, R.A.; Scarborough, M.T.; Gibbs, C.P.; Mendenhall, N.P. Giant Cell Tumor of Bone. Am. J. Clin. Oncol. 2006, 29, 96–99. [Google Scholar] [CrossRef] [PubMed]
  2. Boriani, S.; Bandiera, S.; Casadei, R.; Boriani, L.; Donthineni, R.; Gasbarrini, A.; Pignotti, E.; Biagini, R.; Schwab, J.H. Giant Cell Tumor of the Mobile Spine: A Review of 49 Cases. Spine 2012, 37, E37–E45. [Google Scholar] [CrossRef] [PubMed]
  3. Cavanna, L.; Biasini, C.; Monfredo, M.; Maniscalco, P.; Mori, M. Giant cell tumor of bone. Oncologist 2014, 19, 1207. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Thomas, D.M.; Skubitz, K.M. Giant cell tumor of bone. Curr. Opin. Oncol. 2009, 21, 338–344. [Google Scholar] [CrossRef]
  5. Gorunova, L.; von Steyyen, F.V.; Storlazzi, C.T.; Bjerkehagen, B.; Folleras, G.; Heim, S.; Mandahl, N.; Martens, F. Cytogenetic analysis of 101 giant cell tumors of bone: Nonrandom patterns of telomeric associations and other structural aberrations. Genes Chromosomes Cancer 2009, 48, 583–602. [Google Scholar] [CrossRef]
  6. Lee, J.C.; Liang, C.W.; Fletcher, C.D. Giant cell tumor of soft tissue is genetically distinct from its bone counterpart. Mod. Pathol. 2017, 30, 728–733. [Google Scholar] [CrossRef]
  7. Malawer, M.M.; Bickels, J.; Meller, I.; Buch, R.G.; Henshaw, R.M.; Kollender, Y. Cryosurgery in the Treatment of Giant Cell Tumor. A Long-Term Followup Study. Clin. Orthop. Relat. Res. 1999, 359, 176–188. [Google Scholar] [CrossRef] [Green Version]
  8. Yip, K.M.; Leung, P.C.; Kumta, S.M. Giant Cell Tumor of Bone. Clin. Orthop. Relat. Res. 1996, 60–64. [Google Scholar] [CrossRef]
  9. Errani, C.; Ruggieri, P.; Asenzio, M.A.N.; Toscano, A.; Colangeli, S.; Rimondi, E.; Rossi, G.; Longhi, A.; Mercuri, M. Giant Cell Tumor of the Extremity: A Review of 349 Cases from a Single Institution. Cancer Treat. Rev. 2010, 36, 1–7. [Google Scholar] [CrossRef]
  10. Chawla, S.; Blay, J.Y.; Rutkowski, P.; Le Cesne, A.; Reichardt, P.; Gelderblom, H.; Grimer, R.J.; Choy, E.; Skubitz, K.; Seeger, L.; et al. Denosumab in Patients with Giant-Cell Tumor of Bone: A Multicentre, Open-Label, Phase 2 Study. Lancet Oncol. 2019, 20, 1719–1729. [Google Scholar] [CrossRef]
  11. Pagani, F.; Francucci, C.M.; Moro, L. Markers of Bone Turnover: Biochemical and Clinical Perspectives. J. Endocrinol. Investig. 2005, 28, 8–13. [Google Scholar]
  12. D’Oronzo, S.; Brown, J.; Coleman, R. The Value of Biomarkers in Bone Metastasis. Eur. J. Cancer Care 2017, 26, e12725. [Google Scholar] [CrossRef]
  13. Huang, J.C.; Sakata, T.; Pfleger, L.L.; Bencsik, M.; Halloran, B.P.; Bikle, D.D.; Nissenson, R.A. PTH Differentially Regulates Expression of RANKL and OPG. J. Bone Miner. Res. 2004, 19, 235–244. [Google Scholar] [CrossRef]
  14. Fu, Q.; Manolagas, S.C.; O’Brien, C.A. Parathyroid Hormone Controls Receptor Activator of NF-KappaB Ligand Gene Expression via a Distant Transcriptional Enhancer. Mol. Cell. Biol. 2006, 26, 6453–6468. [Google Scholar] [CrossRef] [Green Version]
  15. Coleman, R.E.; Major, P.; Lipton, A.; Brown, J.E.; Lee, K.-A.; Smith, M.; Saad, F.; Zheng, M.; Hei, Y.J.; Seaman, J.; et al. Predictive Value of Bone Resorption and Formation Markers in Cancer Patients with Bone Metastases Receiving the Bisphosphonate Zoledronic Acid. J. Clin. Oncol. 2005, 23, 4925–4935. [Google Scholar] [CrossRef]
  16. Fletcher, C.D.M.; Unni, K.K.; Mertens, F. Pathology and Genetics of Tumors of Soft Tissue and Bone, 3rd ed.; IARC Press: Lyon, France, 2002; ISBN 978-92-832-2413-6. [Google Scholar]
  17. Szendröi, M. Giant-Cell Tumor of Bone. J. Bone Jt. Surg. Br. 2004, 86, 5–12. [Google Scholar] [CrossRef]
  18. Dougall, W.C. Molecular pathways: Osteoclast-dependent and osteoclast-independent roles of the RANKL/RANK/OPG pathway in tumorigenesis and metastasis. Clin. Cancer Res. 2012, 18, 326–335. [Google Scholar] [CrossRef] [Green Version]
  19. Lipton, A.; Goessl, C. Clinical Development of Anti-RANKL Therapies for Treatment and Prevention of Bone Metastasis. Bone 2011, 48, 96–99. [Google Scholar] [CrossRef]
  20. De Vita, A.; Vanni, S.; Miserocchi, G.; Fausti, V.; Pieri, F.; Spadazzi, C.; Cocchi, C.; Liverani, C.; Calabrese, C.; Casadei, R.; 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, 372. [Google Scholar] [CrossRef]
  21. Taylor, R.M.; Kashima, T.G.; Knowels, H.J.; Athanasou, N.A. VEGF, FLT3 ligand, PlGF and HGF can substitute for M-CSF to induce human osteoclast formation: Implications for giant cell tumour pathobiology. Lab. Investig. 2012, 92, 1398–1406. [Google Scholar] [CrossRef]
  22. Ibrahim, T.; Ricci, M.; Scarpi, E.; Bongiovanni, A.; Ricci, R.; Riva, N.; Liverani, C.; De Vita, A.; La Manna, F.; Oboldi, D.; et al. RANKL: A promising circulating marker for bone metastasis response. Oncol. Lett. 2016, 12, 2970–2975. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Wülling, M.; Delling, G.; Kaiser, E. The Origin of the Neoplastic Stromal Cell in Giant Cell Tumor of Bone. Hum. Pathol. 2003, 34, 983–993. [Google Scholar] [CrossRef]
  24. Heymann, D. Anti-RANKL Therapy for Bone Tumors: Basic, Pre-Clinical and Clinical Evidences. J. Bone Oncol. 2012, 1, 2–11. [Google Scholar] [CrossRef] [PubMed]
  25. Campanacci, L.; Sambri, A.; Medellin, M.R.; Cimatti, P.; Errani, C.; Donati, D.M. A New Computerized Tomography Classification to Evaluate Response to Denosumab in Giant Cell Tumors in the Extremities. Acta Orthop. Traumatol. Turc. 2019, 53, 376–380. [Google Scholar] [CrossRef]
  26. Palmerini, E.; Staals, E.L.; Jones, L.B.; Donati, D.M.; Longhi, A.; Randall, R.L. Role of (Neo)Adjuvant Denosumab for Giant Cell Tumor of Bone. Curr. Treat. Options Oncol. 2020, 21, 68. [Google Scholar] [CrossRef]
  27. Du, W.-X.; Duan, S.-F.; Chen, J.-J.; Huang, J.-F.; Yin, L.-M.; Tong, P.-J. Serum Bone-Specific Alkaline Phosphatase as a Biomarker for Osseous Metastases in Patients with Malignant Carcinomas: A Systematic Review and Meta-Analysis. J. Cancer Res. Ther. 2014, 10, 140. [Google Scholar] [CrossRef]
  28. Buch-Larsen, K.; Jørgensen, N.R.; Jensen, L.T.; Andersson, M.; Schwarz, P. Denosumab vs. Zoledronic Acid Treatment in Post-Menopausal Breast Cancer: A 2-Year Prospective Observational Study. Scand. J. Clin. Lab. Investig. 2021, 81, 425–431. [Google Scholar] [CrossRef]
  29. Brown, J.; Rathbone, E.; Hinsley, S.; Gregory, W.; Gossiel, F.; Marshall, H.; Burkinshaw, R.; Shulver, H.; Thandar, H.; Bertelli, G.; et al. Associations Between Serum Bone Biomarkers in Early Breast Cancer and Development of Bone Metastasis: Results from the AZURE (BIG01/04) Trial. J. Natl. Cancer Inst. 2018, 110, 871–879. [Google Scholar] [CrossRef] [Green Version]
  30. Scoccianti, G.; Totti, F.; Scorianz, M.; Baldi, G.; Roselli, G.; Beltrami, G.; Franchi, A.; Capanna, R.; Campanacci, D.A. Preoperative Denosumab With Curettage and Cryotherapy in Giant Cell Tumor of Bone: Is There an Increased Risk of Local Recurrence? Clin. Orthop. Relat. Res. 2018, 476, 1783–1790. [Google Scholar] [CrossRef]
  31. Kendler, D.L.; Roux, C.; Benhamou, C.L.; Brown, J.P.; Lillestol, M.; Siddhanti, S.; Man, H.-S.; San Martin, J.; Bone, H.G. Effects of Denosumab on Bone Mineral Density and Bone Turnover in Postmenopausal Women Transitioning from Alendronate Therapy. J. Bone Miner. Res. 2010, 25, 72–81. [Google Scholar] [CrossRef]
  32. Guise, T.A.; Mundy, G.R. Physiological and Pathological Roles of Parathyroid Hormone-Related Peptide. Curr. Opin. Nephrol. Hypertens. 1996, 5, 307–315. [Google Scholar] [CrossRef]
  33. D’Oronzo, S.; Coleman, R.; Brown, J.; Silvestris, F. Metastatic Bone Disease: Pathogenesis and Therapeutic Options: Up-Date on Bone Metastasis Management. J. Bone Oncol. 2018, 15, 100205. [Google Scholar] [CrossRef]
  34. Miller, P.D.; Pannacciulli, N.; Brown, J.P.; Czerwinski, E.; Nedergaard, B.S.; Bolognese, M.A.; Malouf, J.; Bone, H.G.; Reginster, J.-Y.; Singer, A.; et al. Denosumab or Zoledronic Acid in Postmenopausal Women With Osteoporosis Previously Treated With Oral Bisphosphonates. J. Clin. Endocrinol. Metab. 2016, 101, 3163–3170. [Google Scholar] [CrossRef] [Green Version]
  35. Bielack, S.S.; Kempf-Bielack, B.; Delling, G.; Exner, G.U.; Flege, S.; Helmke, K.; Kotz, R.; Salzer-Kuntschik, M.; Werner, M.; Winkelmann, W.; et al. Prognostic Factors in High-Grade Osteosarcoma of the Extremities or Trunk: An Analysis of 1,702 Patients Treated on Neoadjuvant Cooperative Osteosarcoma Study Group Protocols. J. Clin. Oncol. 2002, 20, 776–790. [Google Scholar] [CrossRef]
Figure 1. The flow chart of patient selection process.
Figure 1. The flow chart of patient selection process.
Cancers 14 02863 g001
Figure 2. Anatomical site distribution of the 51 GCTB in the 51 patients enrolled.
Figure 2. Anatomical site distribution of the 51 GCTB in the 51 patients enrolled.
Cancers 14 02863 g002
Figure 3. Serum bone turnover marker (sBTM) changes over time. Box-plot shows sBTMs measured at different time-points 0, 1, 2. Panel (A) for alkaline phosphatase (ALP), panel (B) for bone-alkaline phosphatase (bALP), panel (C) for osteocalcin (OCN), panel (D) for carboxyterminal-crosslinked-telopeptide of type I collagen (s-CTX) and panel (E) for parathyroid hormone (s-PTX). The line inside the box represents the median value, the height of the box is the interquartile range, and the circles represent the outlier values. The p value refers to the main effect of time from nonparametric repeated-measures analysis of variance (ANOVA). * Significant p value (p < 0.005) from post hoc multiple comparison test.
Figure 3. Serum bone turnover marker (sBTM) changes over time. Box-plot shows sBTMs measured at different time-points 0, 1, 2. Panel (A) for alkaline phosphatase (ALP), panel (B) for bone-alkaline phosphatase (bALP), panel (C) for osteocalcin (OCN), panel (D) for carboxyterminal-crosslinked-telopeptide of type I collagen (s-CTX) and panel (E) for parathyroid hormone (s-PTX). The line inside the box represents the median value, the height of the box is the interquartile range, and the circles represent the outlier values. The p value refers to the main effect of time from nonparametric repeated-measures analysis of variance (ANOVA). * Significant p value (p < 0.005) from post hoc multiple comparison test.
Cancers 14 02863 g003
Figure 4. Disease-free survival (DFS) in 39 patients undergoing surgery for giant cell tumor of bone according to s-CTX at diagnosis.
Figure 4. Disease-free survival (DFS) in 39 patients undergoing surgery for giant cell tumor of bone according to s-CTX at diagnosis.
Cancers 14 02863 g004
Table 1. Patient characteristics at baseline (n = 51).
Table 1. Patient characteristics at baseline (n = 51).
VariationCohort 1
Unresectable
(n = 8)
Cohort 2
Resectable
(n = 43)
Sex, n (%)
Male5 (62.5)17 (39.5)
Female3 (37.5)26 (60.5)
AgeMedian47.536
Range32–7617–64
Site, n (%)
Femur1 (12.5)5 (12)
Tibia011 (26)
Calcaneus01 (2)
Humerus06 (14)
Radius012 (28)
Ulna01 (2)
Pelvis Sacrum7 (87.5)7 (16)
Size, n (%)≥56 (75)30 (70)
<52 (25)13 (30)
Table 2. Baseline Bone Tumor Markers (BTMs) and tumor size (>5 cm). ALP (alkaline phosphatase); bALP (bone-alkaline phosphatase); s-PTH (parathyroid hormone); OCN (osteocalcin); s-CTX (carboxyterminal-crosslinked-telopeptide of type I collagen).
Table 2. Baseline Bone Tumor Markers (BTMs) and tumor size (>5 cm). ALP (alkaline phosphatase); bALP (bone-alkaline phosphatase); s-PTH (parathyroid hormone); OCN (osteocalcin); s-CTX (carboxyterminal-crosslinked-telopeptide of type I collagen).
BTMs Median
(Min–Max)
p Value
ALP<5 cm68 (43–116)0.0512
≥5 cm86.5 (53–411)
bALP<5 cm12 (5.2–17.4)0.3112
≥5 cm13 (8.3–48.8)
s-PTH<5 cm35.7 (19.4–63.7)0.1601
≥5 cm28.3 (6.9–101.4)
OCN<5 cm20.4 (6–31.8)0.6753
>5 cm23.4 (2.9–47.3)
s-CTX<5 cm296 (23–943)0.0589
≥5 cm502.5 (159–1692)
Table 3. Disease-free survival (DFS) in patients with GCT of bone according to baseline serum levels of carboxyterminal-crosslinked-telopeptide of type I collagen (s-CTX), alkaline phosphatase (ALP), bone-alkaline phosphatase (bALP), parathyroid hormone (sPTH), and osteocalcin (OCN). * missing in 1 patient; ** missing in 3 patients.
Table 3. Disease-free survival (DFS) in patients with GCT of bone according to baseline serum levels of carboxyterminal-crosslinked-telopeptide of type I collagen (s-CTX), alkaline phosphatase (ALP), bone-alkaline phosphatase (bALP), parathyroid hormone (sPTH), and osteocalcin (OCN). * missing in 1 patient; ** missing in 3 patients.
VariableN. Patients% 3-Year DFS95%CIp Value
Overall516552–79
s-CTX *
High (≥500 pg/mL)214523–670.03
Low (<500 pg/mL)297559–91
ALP *
High (≥80 UI/L)276243–800.6
Low (<80 UI/L)236949–88
bALP **
High (≥12 μg/L)276951–870.5
Low (<12 μg/L)216544–86
sPTH *
High (≥30 pg/mL)236342–830.7
Low (<30 pg/mL)276648–84
OCN *
High (≥20 ng/mL)296548–830.9
Low (<20 ng/mL)216442–86
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Palmerini, E.; Pazzaglia, L.; Cevolani, L.; Pratelli, L.; Pierini, M.; Quattrini, I.; Carretta, E.; Manara, M.C.; Pasello, M.; Frega, G.; et al. Bone Turnover Marker (BTM) Changes after Denosumab in Giant Cell Tumors of Bone (GCTB): A Phase II Trial Correlative Study. Cancers 2022, 14, 2863. https://doi.org/10.3390/cancers14122863

AMA Style

Palmerini E, Pazzaglia L, Cevolani L, Pratelli L, Pierini M, Quattrini I, Carretta E, Manara MC, Pasello M, Frega G, et al. Bone Turnover Marker (BTM) Changes after Denosumab in Giant Cell Tumors of Bone (GCTB): A Phase II Trial Correlative Study. Cancers. 2022; 14(12):2863. https://doi.org/10.3390/cancers14122863

Chicago/Turabian Style

Palmerini, Emanuela, Laura Pazzaglia, Luca Cevolani, Loredana Pratelli, Michela Pierini, Irene Quattrini, Elisa Carretta, Maria Cristina Manara, Michela Pasello, Giorgio Frega, and et al. 2022. "Bone Turnover Marker (BTM) Changes after Denosumab in Giant Cell Tumors of Bone (GCTB): A Phase II Trial Correlative Study" Cancers 14, no. 12: 2863. https://doi.org/10.3390/cancers14122863

APA Style

Palmerini, E., Pazzaglia, L., Cevolani, L., Pratelli, L., Pierini, M., Quattrini, I., Carretta, E., Manara, M. C., Pasello, M., Frega, G., Paioli, A., Longhi, A., Cesari, M., Hakim, R., Ibrahim, T., Campanacci, L., Staals, E. L., Donati, D. M., Benassi, M. S., ... Ferrari, S. (2022). Bone Turnover Marker (BTM) Changes after Denosumab in Giant Cell Tumors of Bone (GCTB): A Phase II Trial Correlative Study. Cancers, 14(12), 2863. https://doi.org/10.3390/cancers14122863

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop