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Lucarelli E, De Vita A, Bellotti C, Frisoni T, Vanni S, Guerrieri AN, Pannella M, Mercatali L, Gambarotti M, Duchi S, Miserocchi G, Maioli M, Liverani C, Ibrahim T. Modeling Myxofibrosarcoma: Where Do We Stand and What Is Missing? Cancers (Basel) 2023; 15:5132. [PMID: 37958307 PMCID: PMC10650645 DOI: 10.3390/cancers15215132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/19/2023] [Accepted: 10/21/2023] [Indexed: 11/15/2023] Open
Abstract
Myxofibrosarcoma (MFS) is a malignant soft tissue sarcoma (STS) that originates in the body's connective tissues. It is characterized by the presence of myxoid (gel-like) and fibrous components and typically affects patients after the fifth decade of life. Considering the ongoing trend of increasing lifespans across many nations, MFS is likely to become the most common musculoskeletal sarcoma in the future. Although MFS patients have a lower risk of developing distant metastases compared with other STS cases, MFS is characterized by a high frequency of local recurrence. Notably, in 40-60% of the patients where the tumor recurs, it does so multiple times. Consequently, patients may undergo multiple local surgeries, removing the risk of potential amputation. Furthermore, because the tumor relapses generally have a higher grade, they exhibit a decreased response to radio and chemotherapy and an increased tendency to form metastases. Thus, a better understanding of MFS is required, and improved therapeutic options must be developed. Historically, preclinical models for other types of tumors have been instrumental in obtaining a better understanding of tumor development and in testing new therapeutic approaches. However, few MFS models are currently available. In this review, we will describe the MFS models available and will provide insights into the advantages and constraints of each model.
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Affiliation(s)
- Enrico Lucarelli
- Osteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; (E.L.); (A.N.G.); (M.P.); (L.M.); (T.I.)
| | - Alessandro De Vita
- Preclinic and Osteoncology Unit, Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy; (A.D.V.); (S.V.); (G.M.); (C.L.)
| | - Chiara Bellotti
- Osteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; (E.L.); (A.N.G.); (M.P.); (L.M.); (T.I.)
| | - Tommaso Frisoni
- Unit of 3rd Orthopaedic and Traumatologic Clinic Prevalently Oncologic, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy;
| | - Silvia Vanni
- Preclinic and Osteoncology Unit, Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy; (A.D.V.); (S.V.); (G.M.); (C.L.)
| | - Ania Naila Guerrieri
- Osteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; (E.L.); (A.N.G.); (M.P.); (L.M.); (T.I.)
| | - Micaela Pannella
- Osteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; (E.L.); (A.N.G.); (M.P.); (L.M.); (T.I.)
| | - Laura Mercatali
- Osteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; (E.L.); (A.N.G.); (M.P.); (L.M.); (T.I.)
| | - Marco Gambarotti
- Department of Pathology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; (M.G.); (M.M.)
| | - Serena Duchi
- Department of Surgery-ACMD, St. Vincent’s Hospital Melbourne, University of Melbourne, Melbourne, VIC 3065, Australia;
| | - Giacomo Miserocchi
- Preclinic and Osteoncology Unit, Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy; (A.D.V.); (S.V.); (G.M.); (C.L.)
| | - Margherita Maioli
- Department of Pathology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; (M.G.); (M.M.)
| | - Chiara Liverani
- Preclinic and Osteoncology Unit, Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy; (A.D.V.); (S.V.); (G.M.); (C.L.)
| | - Toni Ibrahim
- Osteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; (E.L.); (A.N.G.); (M.P.); (L.M.); (T.I.)
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2
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Ribeiro MF, Peretz Soroka H, Bhura Z, Hirsch I, Wunder J, Ferguson P, Tsoi K, Brar S, Gladdy R, Swallow C, Chung P, Catton C, Wong P, Watson G, Razak ARA, Gupta AA, Shultz D. Clinico-demographic characteristics and outcomes of radiation-induced sarcomas (RIS): a CanSaRCC study. Ther Adv Med Oncol 2023; 15:17588359231198943. [PMID: 37781501 PMCID: PMC10540571 DOI: 10.1177/17588359231198943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 08/01/2023] [Indexed: 10/03/2023] Open
Abstract
Background Radiation-induced sarcomas (RIS) tend to have aggressive behaviour and because of their rarity, the most appropriate management for these malignancies is uncertain. Objectives Using the Canadian Sarcoma Research and Clinical Collaboration (CanSaRCC) database, a national sarcoma registry, we aimed to investigate prognostic factors and outcomes for RIS. Design Retrospective study of RIS patients treated from 1996 to 2021 at three Canadian centres. Methods RIS was defined as a sarcoma arising in a previously irradiated field following a 3+ year latency period, whose histology was distinct from the initially irradiated tumour. Clinicopathologic and treatment-related information was extracted from the CanSaRCC database. Overall survival (OS) was defined as the time from RIS diagnosis to death from any cause. Response rate (RR) to neoadjuvant chemotherapy (NACT) was based on physician assessment. Time-to-event analyses were estimated using the Kaplan-Meier method, with Cox regression for multivariate analysis. We considered a two-tailed p-value of <0.05 as statistically significant. Results One hundred seven tumours met the criteria for RIS and were divided into three subgroups: breast angiosarcoma (BAS, n = 54), osteosarcoma (OST, n = 16), and other soft-tissue sarcomas (STS, n = 37). Patients were mostly female (n = 85, 79%), treated initially for breast carcinomas (n = 54, 50.5%), and diagnosed with high-grade tumours (n = 61/71, 86%). None had evidence of synchronous metastasis. Patients with OST were younger (median age: 48 years, p < 0.001), and BAS had the shortest latency interval (8 versus 18 years for OST/STS, p < 0.001). Most patients underwent surgery, 76% (n = 76/100) R0; 24% (n = 26) received radiation therapy, mostly (n = 15, 57.7%) neoadjuvant. Among those receiving chemotherapy, 30 (75%) underwent NACT; among patients with documented response assessment, the RR was 68% (n = 17/25), being even higher in the BAS population (89.5%, n = 13/17). Median OS was 53 months (95% CI 34-101), with a 5-year OS of 47.6%; larger tumour size, high histologic grade and older age were independent prognostic factors for worse OS. Conclusion Surgery is standard, and NACT might be useful to downsize large lesions, especially in BAS patients. Raising RIS awareness is fundamental to promoting appropriate management and fostering research through multi-institutional collaborations.
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Affiliation(s)
- Mauricio Fernando Ribeiro
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
| | - Hagit Peretz Soroka
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
| | - Zainab Bhura
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
| | - Ian Hirsch
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
| | - Jay Wunder
- Department of Surgery, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
| | - Peter Ferguson
- Department of Surgery, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
| | - Kim Tsoi
- Department of Surgery, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
| | - Savtaj Brar
- Department of Surgery, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada
| | - Rebecca Gladdy
- Department of Surgery, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
| | - Carol Swallow
- Department of Surgery, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
| | - Peter Chung
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
| | - Charles Catton
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
| | - Philip Wong
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
| | - Geoffrey Watson
- Division of Medical Oncology, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada
| | - Albiruni Ryan Abdul Razak
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
- Division of Medical Oncology, Mount Sinai Hospital, Sinai Health, Toronto, ON, Canada
| | - Abha A. Gupta
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, ON, Canada
| | - David Shultz
- Department of Radiation Oncology, Princess Margaret Cancer Centre – University of Toronto, 610 University Avenue, Toronto, ON M5G 2M9, Canada
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Nishio J, Nakayama S. Biology and Management of High-Grade Myxofibrosarcoma: State of the Art and Future Perspectives. Diagnostics (Basel) 2023; 13:3022. [PMID: 37835765 PMCID: PMC10572210 DOI: 10.3390/diagnostics13193022] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 09/18/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023] Open
Abstract
Myxofibrosarcoma (MFS) is one of the most common adult soft tissue sarcomas, typically arising in the extremities. Histologically, MFS is classified into three grades: low, intermediate, and high. Histological grades correlate with distant metastases and tumor-associated mortality. The diagnosis of MFS is challenging due to a lack of well-characterized immunohistochemical markers. High-grade MFS displays highly complex karyotypes with multiple copy number alterations. Recent integrated genomic studies have shown the predominance of somatic copy number aberrations. However, the molecular pathogenesis of high-grade MFS remains poorly understood. The standard treatment for localized MFS is surgical resection. The systemic treatment options for advanced disease are limited. This review provides an updated overview of the clinical and imaging features, pathogenesis, histopathology, and treatment of high-grade MFS.
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Affiliation(s)
- Jun Nishio
- Section of Orthopaedic Surgery, Department of Medicine, Fukuoka Dental College, 2-15-1 Tamura, Sawara-ku, Fukuoka 814-0193, Japan
| | - Shizuhide Nakayama
- Department of Orthopaedic Surgery, Faculty of Medicine, Fukuoka University, 7-45-1 Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan;
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Tan Q, Wang Q, Jin S, Zhou F, Zou X. Network Evolution Model-based prediction of tumor mutation burden from radiomic-clinical features in endometrial cancers. BMC Cancer 2023; 23:712. [PMID: 37525139 PMCID: PMC10388464 DOI: 10.1186/s12885-023-11118-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 06/27/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Endometrial Cancer (EC) is one of the most prevalent malignancies that affect the female population globally. In the context of immunotherapy, Tumor Mutation Burden (TMB) in the DNA polymerase epsilon (POLE) subtype of this cancer holds promise as a viable therapeutic target. METHODS We devised a method known as NEM-TIE to forecast the TMB status of patients with endometrial cancer. This approach utilized a combination of the Network Evolution Model, Transfer Information Entropy, Clique Percolation (CP) methodology, and Support Vector Machine (SVM) classification. To construct the Network Evolution Model, we employed an adjacency matrix that utilized transfer information entropy to assess the information gain between nodes of radiomic-clinical features. Subsequently, using the CP algorithm, we unearthed potentially pivotal modules in the Network Evolution Model. Finally, the SVM classifier extracted essential features from the module set. RESULTS Upon analyzing the importance of modules, we discovered that the dependence count energy in tumor volumes-of-interest holds immense significance in distinguishing TMB statuses among patients with endometrial cancer. Using the 13 radiomic-clinical features extracted via NEM-TIE, we demonstrated that the area under the receiver operating characteristic curve (AUROC) in the test set is 0.98 (95% confidence interval: 0.95-1.00), surpassing the performance of existing techniques such as the mRMR and Laplacian methods. CONCLUSIONS Our study proposed the NEM-TIE method as a means to identify the TMB status of patients with endometrial cancer. The integration of radiomic-clinical data utilizing the NEM-TIE method may offer a novel technology for supplementary diagnosis.
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Affiliation(s)
- Qing Tan
- School of Mathematics and Statistics, Wuhan University, Wuhan, 430072, China
- Hubei Key Laboratory of Computational Science, Wuhan University, Wuhan, 430072, China
| | - Qian Wang
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, 430072, China
| | - Suoqin Jin
- School of Mathematics and Statistics, Wuhan University, Wuhan, 430072, China
- Hubei Key Laboratory of Computational Science, Wuhan University, Wuhan, 430072, China
| | - Fuling Zhou
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, 430072, China.
| | - Xiufen Zou
- School of Mathematics and Statistics, Wuhan University, Wuhan, 430072, China.
- Hubei Key Laboratory of Computational Science, Wuhan University, Wuhan, 430072, China.
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Albarrán V, Villamayor ML, Pozas J, Chamorro J, Rosero DI, San Román M, Guerrero P, Pérez de Aguado P, Calvo JC, García de Quevedo C, González C, Vaz MÁ. Current Landscape of Immunotherapy for Advanced Sarcoma. Cancers (Basel) 2023; 15:2287. [PMID: 37190214 PMCID: PMC10136499 DOI: 10.3390/cancers15082287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 04/07/2023] [Accepted: 04/12/2023] [Indexed: 05/17/2023] Open
Abstract
There is substantial heterogeneity between different subtypes of sarcoma regarding their biological behavior and microenvironment, which impacts their responsiveness to immunotherapy. Alveolar soft-part sarcoma, synovial sarcoma and undifferentiated pleomorphic sarcoma show higher immunogenicity and better responses to checkpoint inhibitors. Combination strategies adding immunotherapy to chemotherapy and/or tyrosine-kinase inhibitors globally seem superior to single-agent schemes. Therapeutic vaccines and different forms of adoptive cell therapy, mainly engineered TCRs, CAR-T cells and TIL therapy, are emerging as new forms of immunotherapy for advanced solid tumors. Tumor lymphocytic infiltration and other prognostic and predictive biomarkers are under research.
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Affiliation(s)
- Víctor Albarrán
- Medical Oncology Department, Ramon y Cajal University Hospital, 28034 Madrid, Spain
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Seong G, D’Angelo SP. New therapeutics for soft tissue sarcomas: Overview of current immunotherapy and future directions of soft tissue sarcomas. Front Oncol 2023; 13:1150765. [PMID: 37007160 PMCID: PMC10052453 DOI: 10.3389/fonc.2023.1150765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 02/27/2023] [Indexed: 03/16/2023] Open
Abstract
Soft tissue sarcoma is a rare and aggressive disease with a 40 to 50% metastasis rate. The limited efficacy of traditional approaches with surgery, radiation, and chemotherapy has prompted research in novel immunotherapy for soft tissue sarcoma. Immune checkpoint inhibitors such as anti-CTLA-4 and PD-1 therapies in STS have demonstrated histologic-specific responses. Some combinations of immunotherapy with chemotherapy, TKI, and radiation were effective. STS is considered a ‘cold’, non-inflamed tumor. Adoptive cell therapies are actively investigated in STS to enhance immune response. Genetically modified T-cell receptor therapy targeting cancer testis antigens such as NY-ESO-1 and MAGE-A4 demonstrated durable responses, especially in synovial sarcoma. Two early HER2-CAR T-cell trials have achieved stable disease in some patients. In the future, CAR-T cell therapies will find more specific targets in STS with a reliable response. Early recognition of T-cell induced cytokine release syndrome is crucial, which can be alleviated by immunosuppression such as steroids. Further understanding of the immune subtypes and biomarkers will promote the advancement of soft tissue sarcoma treatment.
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Affiliation(s)
- Gyuhee Seong
- Department of Medicine, SUNY Downstate Health Sciences University, Brooklyn, NY, United States
| | - Sandra P. D’Angelo
- Department of Medicine, Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY, United States
- *Correspondence: Sandra P. D’Angelo,
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Vanni S, De Vita A, Gurrieri L, Fausti V, Miserocchi G, Spadazzi C, Liverani C, Cocchi C, Calabrese C, Bongiovanni A, Riva N, Mercatali L, Pieri F, Casadei R, Lucarelli E, Ibrahim T. Myxofibrosarcoma landscape: diagnostic pitfalls, clinical management and future perspectives. Ther Adv Med Oncol 2022; 14:17588359221093973. [PMID: 35782752 PMCID: PMC9244941 DOI: 10.1177/17588359221093973] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 01/12/2022] [Indexed: 12/26/2022] Open
Abstract
Myxofibrosarcoma (MFS) is a common entity of adult soft tissue sarcomas (STS) characterized by a predilection of the extremities and a high local recurrence rate. Originally classified as a myxoid variant of malignant fibrous histiocytoma, this musculoskeletal tumor has been recognized since 2002 as a distinct histotype showing a spectrum of malignant fibroblastic lesions with myxoid stroma, pleomorphism and curvilinear vessels. Currently, the molecular pathogenesis of MFS is still poorly understood and its genomic profile exhibits a complex karyotype with a number of aberrations including amplifications, deletions and loss of function. The diagnosis is challenging due to the unavailability of specific immunohistochemical markers and is based on the analysis of cytomorphologic features. The mainstay of treatment for localized disease is represented by surgical resection, with (neo)-adjuvant radio- and chemotherapy. In the metastatic setting, chemotherapy represents the backbone of treatments, however its role is still controversial and the outcome is very poor. Recent advent of genomic profiling, targeted therapies and larger enrollment of patients in translational and clinical studies, have improved the understanding of biological behavior and clinical outcome of such a disease. This review will provide an overview of current diagnostic pitfalls and clinical management of MFS. Finally, a look at future directions will be discussed.
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Affiliation(s)
- Silvia Vanni
- Osteoncology Unit, Bioscience Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy
| | - Alessandro De Vita
- Osteoncology Unit, Bioscience Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Via P. Maroncelli 40, Meldola 47014, Forlì-Cesena, Italy
| | - Lorena Gurrieri
- Osteoncology Unit, Bioscience Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy
| | - Valentina Fausti
- Osteoncology Unit, Bioscience Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy
| | - Giacomo Miserocchi
- Osteoncology Unit, Bioscience Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy
| | - Chiara Spadazzi
- Osteoncology Unit, Bioscience Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy
| | - Chiara Liverani
- Osteoncology Unit, Bioscience Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy
| | - Claudia Cocchi
- Osteoncology Unit, Bioscience Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy
| | - Chiara Calabrese
- Osteoncology Unit, Bioscience Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy
| | - Alberto Bongiovanni
- Osteoncology Unit, Bioscience Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy
| | - Nada Riva
- Osteoncology Unit, Bioscience Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy
| | - Laura Mercatali
- Osteoncology Unit, Bioscience Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori', Meldola, Italy
| | - Federica Pieri
- Pathology Unit, 'Morgagni-Pierantoni' Hospital, Forlì, Italy
| | - Roberto Casadei
- Orthopedic Unit, 'Morgagni-Pierantoni' Hospital, Forlì, Italy
| | - Enrico Lucarelli
- Osteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Toni Ibrahim
- Osteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies Unit, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
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