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Petrescu DI, Yustein JT, Dasgupta A. Preclinical models for the study of pediatric solid tumors: focus on bone sarcomas. Front Oncol 2024; 14:1388484. [PMID: 39091911 PMCID: PMC11291195 DOI: 10.3389/fonc.2024.1388484] [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: 02/19/2024] [Accepted: 07/01/2024] [Indexed: 08/04/2024] Open
Abstract
Sarcomas comprise between 10-15% of all pediatric malignancies. Osteosarcoma and Ewing sarcoma are the two most common pediatric bone tumors diagnosed in children and young adults. These tumors are commonly treated with surgery and/or radiation therapy and combination chemotherapy. However, there is a strong need for the development and utilization of targeted therapeutic methods to improve patient outcomes. Towards accomplishing this goal, pre-clinical models for these unique malignancies are of particular importance to design and test experimental therapeutic strategies prior to being introduced to patients due to their origination site and propensity to metastasize. Pre-clinical models offer several advantages for the study of pediatric sarcomas with unique benefits and shortcomings dependent on the type of model. This review addresses the types of pre-clinical models available for the study of pediatric solid tumors, with special attention to the bone sarcomas osteosarcoma and Ewing sarcoma.
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Affiliation(s)
- D. Isabel Petrescu
- Aflac Cancer and Blood Disorders Center, Emory University, Atlanta, GA, United States
| | - Jason T. Yustein
- Aflac Cancer and Blood Disorders Center, Emory University, Atlanta, GA, United States
| | - Atreyi Dasgupta
- The Faris D. Virani Ewing Sarcoma Center, Baylor College of Medicine, Texas Children’s Cancer and Hematology Centers, Houston, TX, United States
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2
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Buckley DN, Tew BY, Gooden C, Salhia B. A comprehensive analysis of minimally differentially methylated regions common to pediatric and adult solid tumors. NPJ Precis Oncol 2024; 8:125. [PMID: 38824198 PMCID: PMC11144230 DOI: 10.1038/s41698-024-00590-1] [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: 03/07/2023] [Accepted: 04/14/2024] [Indexed: 06/03/2024] Open
Abstract
Cancer is the second most common cause of death in children aged 1-14 years in the United States, with 11,000 new cases and 1200 deaths annually. Pediatric cancers typically have lower mutational burden compared to adult-onset cancers, however, the epigenomes in pediatric cancer are highly altered, with widespread DNA methylation changes. The rarity of pediatric cancers poses a significant challenge to developing cancer-type specific biomarkers for diagnosis, prognosis, or treatment monitoring. In the current study, we explored the potential of a DNA methylation profile common across various pediatric cancers. To do this, we conducted whole genome bisulfite sequencing (WGBS) on 31 recurrent pediatric tumor tissues, 13 normal tissues, and 20 plasma cell-free (cf)DNA samples, representing 11 different pediatric cancer types. We defined minimal focal regions that were differentially methylated across samples in the multiple cancer types which we termed minimally differentially methylated regions (mDMRs). These methylation changes were also observed in 506 pediatric and 5691 adult cancer samples accessed from publicly available databases, and in 44 pediatric cancer samples we analyzed using a targeted hybridization probe capture assay. Finally, we found that these methylation changes were detectable in cfDNA and could serve as potential cfDNA methylation biomarkers for early detection or minimal residual disease.
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Affiliation(s)
- David N Buckley
- Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ben Yi Tew
- Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Chris Gooden
- Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Bodour Salhia
- Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.
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3
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Rademacher MJ, Faber ML, Bone KM, Medin JA, Schloemer NJ. Fate control engagement augments NK cell responses in LV/hu-IL-12 transduced sarcoma. Exp Mol Pathol 2024; 137:104898. [PMID: 38729059 DOI: 10.1016/j.yexmp.2024.104898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 04/23/2024] [Accepted: 05/01/2024] [Indexed: 05/12/2024]
Abstract
INTRODUCTION NK cells are an untapped resource for cancer therapy. Sarcomas transduced with lentiviruses to express human IL-12 are only cleared in mice bearing mature human NK cells. However, systemic inflammation limits IL-12 utilization. Fate control a.k.a. "suicide mechanisms" regulate unchecked systemic inflammation caused by cellular immunotherapies. Despite increasing utilization, there remains limited data on immune consequences or tumor-directed effects of fate control. OBJECTIVES We sought to engage the mutant thymidylate kinase (mTMPK) metabolic fate control system to regulate systemic inflammation and assess the impact on NK cell effector functions. METHODS Primary human sarcoma short-passage samples and cell lines were transduced with LV/hu-IL-12_mTMPK engineering expression of IL-12 and an AZT-associated fate control enzyme. We assessed transduced sarcoma responses to AZT engagement and subsequent modulation of NK cell functions as measured by inflammatory cytokine production and cytotoxicity. RESULTS AZT administration to transduced (LV/hu-IL-12_mTMPK) short-passage primary human sarcomas and human Ewing sarcoma, osteosarcoma, and rhabdomyosarcoma cell lines, abrogated the robust expression of human IL-12. Fate control activation elicited a specific dose-dependent cytotoxic effect measured by metabolic activity (WST-1) and cell death (Incucyte). NK effector functions of IFN-γ and cytotoxic granule release were significantly augmented despite IL-12 abrogation. This correlated with preferentially induced expression of NK cell activation ligands. CONCLUSIONS mTMPK fate control engagement terminates transduced sarcoma IL-12 production and triggers cell death, but also augments an NK cell-mediated response coinciding with metabolic stress activating surface ligand induction. Fate control engagement could offer a novel immune activation method for NK cell-mediated cancer clearance.
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Affiliation(s)
- Mary Jo Rademacher
- Departments of Pediatrics; Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Mary L Faber
- Departments of Pediatrics; Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Kathleen M Bone
- Departments of Pathology; Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Jeffrey A Medin
- Departments of Pediatrics; Medical College of Wisconsin, Milwaukee, WI 53226, USA; Departments of Biochemisty; Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Nathan J Schloemer
- Departments of Pediatrics; Medical College of Wisconsin, Milwaukee, WI 53226, USA.
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4
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Hassanain O, Alaa M, Khalifa MK, Kamal N, Albagoury A, El Ghoneimy AM. Genetic variants associated with osteosarcoma risk: a systematic review and meta-analysis. Sci Rep 2024; 14:3828. [PMID: 38360742 PMCID: PMC10869693 DOI: 10.1038/s41598-024-53802-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 02/05/2024] [Indexed: 02/17/2024] Open
Abstract
Osteosarcoma (OS) is the most common type of primary bone malignancy. Common genetic variants including single nucleotide polymorphisms (SNPs) have been associated with osteosarcoma risk, however, the results of published studies are inconsistent. The aim of this study was to systematically review genetic association studies to identify SNPs associated with osteosarcoma risk and the effect of race on these associations. We searched the Medline, Embase, Scopus from inception to the end of 2019. Seventy-five articles were eligible for inclusion. These studies investigated the association of 190 SNPs across 79 genes with osteosarcoma, 18 SNPs were associated with the risk of osteosarcoma in the main analysis or in subgroup analysis. Subgroup analysis displayed conflicting effects between Asians and Caucasians. Our review comprehensively summarized the results of published studies investigating the association of genetic variants with osteosarcoma susceptibility, however, their potential value should be confirmed in larger cohorts in different ethnicities.
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Affiliation(s)
- Omneya Hassanain
- Epidemiology and Biostatistics Unit, Clinical Research, Children's Cancer Hospital Egypt-57357 (CCHE-57357), 1 Seket el Emam, el Sayeda Zeinab, Cairo, 11441, Egypt.
| | - Mahmoud Alaa
- Basic Research, Children's Cancer Hospital Egypt-57357 (CCHE-57357), Cairo, Egypt
| | - Mohamed K Khalifa
- Molecular Pathology Laboratory, Children's Cancer Hospital Egypt-57357 (CCHE-57357), Cairo, Egypt
| | - Nehal Kamal
- Basic Research, Children's Cancer Hospital Egypt-57357 (CCHE-57357), Cairo, Egypt
| | - Aseel Albagoury
- Basic Research, Children's Cancer Hospital Egypt-57357 (CCHE-57357), Cairo, Egypt
| | - Ahmed M El Ghoneimy
- Department of Orthopedic Oncology, Children's Cancer Hospital-57357 (CCHE-57357), Cairo, Egypt
- Department of Orthopedics, Faculty of Medicine, Cairo University, Cairo, Egypt
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5
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Mancarella C, Morrione A, Scotlandi K. PROTAC-Based Protein Degradation as a Promising Strategy for Targeted Therapy in Sarcomas. Int J Mol Sci 2023; 24:16346. [PMID: 38003535 PMCID: PMC10671294 DOI: 10.3390/ijms242216346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/10/2023] [Accepted: 11/11/2023] [Indexed: 11/26/2023] Open
Abstract
Sarcomas are heterogeneous bone and soft tissue cancers representing the second most common tumor type in children and adolescents. Histology and genetic profiling discovered more than 100 subtypes, which are characterized by peculiar molecular vulnerabilities. However, limited therapeutic options exist beyond standard therapy and clinical benefits from targeted therapies were observed only in a minority of patients with sarcomas. The rarity of these tumors, paucity of actionable mutations, and limitations in the chemical composition of current targeted therapies hindered the use of these approaches in sarcomas. Targeted protein degradation (TPD) is an innovative pharmacological modality to directly alter protein abundance with promising clinical potential in cancer, even for undruggable proteins. TPD is based on the use of small molecules called degraders or proteolysis-targeting chimeras (PROTACs), which trigger ubiquitin-dependent degradation of protein of interest. In this review, we will discuss major features of PROTAC and PROTAC-derived genetic systems for target validation and cancer treatment and focus on the potential of these approaches to overcome major issues connected to targeted therapies in sarcomas, including drug resistance, target specificity, and undruggable targets. A deeper understanding of these strategies might provide new fuel to drive molecular and personalized medicine to sarcomas.
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Affiliation(s)
- Caterina Mancarella
- Laboratory of Experimental Oncology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy
| | - Andrea Morrione
- Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, Department of Biology, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA;
| | - Katia Scotlandi
- Laboratory of Experimental Oncology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy
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Wang Z, Zeng Z, Gao F, Gui Z, Du J, Shen N, Shang Y, Yang Z, Shang L, Wei R, Ma W, Wang C. Osteosarcoma transcriptome data exploration reveals STC2 as a novel risk indicator in disease progression. BMC Med Genomics 2023; 16:30. [PMID: 36803385 PMCID: PMC9942349 DOI: 10.1186/s12920-023-01456-4] [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: 09/07/2022] [Accepted: 02/11/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND Osteosarcoma has been the most common primary bone malignant tumor in children and adolescents. Despite the considerable improvement in the understanding of genetic events attributing to the rapid development of molecular pathology, the current information is still lacking, partly due to the comprehensive and highly heterogeneous nature of osteosarcoma. The study is to identify more potential responsible genes during the development of osteosarcoma, thus identifying promising gene indicators and aiding more precise interpretation of the disease. METHODS Firstly, from GEO database, osteosarcoma transcriptome microarrays were used to screen the differential expression genes (DEGS) in cancer comparing to normal bone samples, followed by GO/KEGG interpretation, risk score assessment and survival analysis of the genes, for the purpose of selecting a credible key gene. Further, the basic physicochemical properties, predicted cellular location, gene expression in human cancers, the association with clinical pathological features and potential signaling pathways involved in the key gene's regulation on osteosarcoma development were in succession explored. RESULTS Based on the selected GEO osteosarcoma expression profiles, we identified the differential expression genes in osteosarcoma versus normal bone samples, and the genes were classified into four groups based on the difference level, further genes interpretation indicated that the high differently level (> 8 fold) genes were mainly located extracellular and related to matrix structural constituent regulation. Meanwhile, module function analysis of the 67 high differential level (> 8 fold) DEGS revealed a 22-gene containing extracellular matrix regulation associated hub gene cluster. Further survival analysis of the 22 genes revealed that STC2 was an independent prognosis indicator in osteosarcoma. Moreover, after validating the differential expression of STC2 in cancer vs. normal tissues using local hospital osteosarcoma samples by IHC and qRT-PCR experiment, the gene's physicochemical property revealed STC2 as a cellular stable and hydrophilic protein, and the gene's association with osteosarcoma clinical pathological parameters, expression in pan-cancers and the probable biological functions and signaling pathways it involved were explored. CONCLUSION Using multiple bioinformatic analysis and local hospital samples validation, we revealed the gain of expression of STC2 in osteosarcoma, which associated statistical significantly with patients survival, and the gene's clinical features and potential biological functions were also explored. Although the results shall provide inspiring insights into further understanding of the disease, further experiments and detailed rigorous clinical trials are needed to reveal its potential drug-target role in clinical medical use.
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Affiliation(s)
- Ziyue Wang
- grid.24696.3f0000 0004 0369 153XDepartment of Pathology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Zixin Zeng
- grid.263452.40000 0004 1798 4018Basic Medical school of ShanXi Medical University, Tai Yuan city, ShanXi Province China
| | - Feng Gao
- grid.263452.40000 0004 1798 4018Department of Orthopedics, The Six Clinical Medical School of ShanXi Medical University, Tai Yuan, ShanXi Province China
| | - Ziwei Gui
- grid.263452.40000 0004 1798 4018Basic Medical school of ShanXi Medical University, Tai Yuan city, ShanXi Province China
| | - Juan Du
- grid.452845.a0000 0004 1799 2077Department of Pathology, The Second Hospital of ShanXi Medical University, No.382 WuYi Road, 030000 Tai Yuan City, ShanXi Province China
| | - Ningning Shen
- grid.452845.a0000 0004 1799 2077Department of Pathology, The Second Hospital of ShanXi Medical University, No.382 WuYi Road, 030000 Tai Yuan City, ShanXi Province China
| | - Yangwei Shang
- grid.452845.a0000 0004 1799 2077Department of Pathology, The Second Hospital of ShanXi Medical University, No.382 WuYi Road, 030000 Tai Yuan City, ShanXi Province China
| | - Zhiqing Yang
- grid.452845.a0000 0004 1799 2077Department of Pathology, The Second Hospital of ShanXi Medical University, No.382 WuYi Road, 030000 Tai Yuan City, ShanXi Province China
| | - Lifang Shang
- grid.452845.a0000 0004 1799 2077Department of Pathology, The Second Hospital of ShanXi Medical University, No.382 WuYi Road, 030000 Tai Yuan City, ShanXi Province China
| | - Rong Wei
- grid.452845.a0000 0004 1799 2077Department of Pathology, The Second Hospital of ShanXi Medical University, No.382 WuYi Road, 030000 Tai Yuan City, ShanXi Province China
| | - Wenxia Ma
- Department of Pathology, The Second Hospital of ShanXi Medical University, No.382 WuYi Road, 030000, Tai Yuan City, ShanXi Province, China.
| | - Chen Wang
- Department of Pathology, The Second Hospital of ShanXi Medical University, No.382 WuYi Road, 030000, Tai Yuan City, ShanXi Province, China.
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Schott CR, Koehne AL, Sayles LC, Young EP, Luck C, Yu K, Lee AG, Breese MR, Leung SG, Xu H, Shah AT, Liu HY, Spillinger A, Behroozfard IH, Marini KD, Dinh PT, Pons Ventura MAV, Vanderboon EN, Hazard FK, Cho SJ, Avedian RS, Mohler DG, Zimel M, Wustrack R, Curtis C, Sirota M, Sweet-Cordero EA. Development and characterization of new patient-derived xenograft (PDX) models of osteosarcoma with distinct metastatic capacities. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.19.524562. [PMID: 36711882 PMCID: PMC9882347 DOI: 10.1101/2023.01.19.524562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Models to study metastatic disease in rare cancers are needed to advance preclinical therapeutics and to gain insight into disease biology, especially for highly aggressive cancers with a propensity for metastatic spread. Osteosarcoma is a rare cancer with a complex genomic landscape in which outcomes for patients with metastatic disease are poor. As osteosarcoma genomes are highly heterogeneous, a large panel of models is needed to fully elucidate key aspects of disease biology and to recapitulate clinically-relevant phenotypes. We describe the development and characterization of osteosarcoma patient-derived xenografts (PDXs) and a panel of PDX-derived cell lines. Matched patient samples, PDXs, and PDX-derived cell lines were comprehensively evaluated using whole genome sequencing and RNA sequencing. PDXs and PDX-derived cell lines largely maintained the expression profiles of the patient from which they were derived despite the emergence of whole-genome duplication (WGD) in a subset of cell lines. These cell line models were heterogeneous in their metastatic capacity and their tissue tropism as observed in both intravenous and orthotopic models. As proof-of-concept study, we used one of these models to test the preclinical effectiveness of a CDK inhibitor on the growth of metastatic tumors in an orthotopic amputation model. Single-agent dinaciclib was effective at dramatically reducing the metastatic burden in this model.
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8
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Heymann CJF, Bobin-Dubigeon C, Muñoz-Garcia J, Cochonneau D, Ollivier E, Heymann MF, Heymann D. Lipopolysaccharide-binding protein expression is associated to the metastatic status of osteosarcoma patients. J Bone Oncol 2022; 36:100451. [PMID: 35990515 PMCID: PMC9386085 DOI: 10.1016/j.jbo.2022.100451] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 07/27/2022] [Accepted: 08/01/2022] [Indexed: 11/29/2022] Open
Abstract
Intratumour Gram- bacteria can be detected in OS. Enriched intratumour in Gram- bacteria infiltrate is associated with local disease. A poor Gram- bacteria infiltration may be predict a higher risk of metastasis. Immune stimulation of OS by LPS represents a potential therapeutic option.
Osteosarcoma (OS) is a rare malignant primary bone tumours characterized by a high genetic and cell composition heterogeneity. Unfortunately, despite the use of drug combinations and the recent development of immunotherapies, the overall survival has not improved in the last four decades. Due to the key role of the tumour microenvironment in the pathogenesis of OS, a better understanding of its microenvironment is mandatory to develop new therapeutic approaches. From retrospective biological cohorts of OS, we analysed by immunohistochemistry the presence of lipopolysaccharide (LPS)-binding protein (LBP) in diagnostic biopsies with local disease and compared their level of infiltration to patients suffering from metastatic status. LBP is considered as a marker of LPS exposure and can indirectly reflect the presence of Gram-negative microbiota. LBP were detected in the cytoplasm of OS cells as well as in tumour-associated macrophage. Tumour samples of patients with local disease were significantly enriched in LBP compared to tumour tissues of patients with metastatic status. Lung metastatic tissues showed similar level of LBP compared to paired primary tumours. Overall, this study strongly suggests the presence of Gram-negative bacteria in OS tissues and demonstrated their significant differential level according the metastatic status. This tumour-associated microbiome may help in the conceptualisation of new therapeutic approach to trigger efficient therapeutic responses against cancer.
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Affiliation(s)
- Clément J F Heymann
- University of Amsterdam, Academic Medical Center, Swammerdam Institute for Life Sciences, Amsterdam, the Netherlands.,Institut de Cancérologie de l'Ouest, Tumour Heterogeneity and Precison Medicine Laboratory, Saint-Herblain, France
| | - Christine Bobin-Dubigeon
- Institut de Cancérologie de l'Ouest, Tumour Heterogeneity and Precison Medicine Laboratory, Saint-Herblain, France.,Nantes Université, CNRS, UMR6286, US2B, Nantes, France
| | - Javier Muñoz-Garcia
- Institut de Cancérologie de l'Ouest, Tumour Heterogeneity and Precison Medicine Laboratory, Saint-Herblain, France
| | - Denis Cochonneau
- Institut de Cancérologie de l'Ouest, Tumour Heterogeneity and Precison Medicine Laboratory, Saint-Herblain, France
| | - Emilie Ollivier
- Institut de Cancérologie de l'Ouest, Tumour Heterogeneity and Precison Medicine Laboratory, Saint-Herblain, France
| | - Marie-Françoise Heymann
- Institut de Cancérologie de l'Ouest, Tumour Heterogeneity and Precison Medicine Laboratory, Saint-Herblain, France.,Institut de Cancérologie de l'Ouest, Research Pathology Platform, Saint-Herblain, France
| | - Dominique Heymann
- Institut de Cancérologie de l'Ouest, Tumour Heterogeneity and Precison Medicine Laboratory, Saint-Herblain, France.,Nantes Université, CNRS, UMR6286, US2B, Nantes, France.,University of Sheffield, Department of Oncology and Metabolism, Medical School, Sheffield, UK
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Díaz ECG, Lee AG, Sayles LC, Feria C, Sweet-Cordero EA, Yang F. A 3D Osteosarcoma Model with Bone-Mimicking Cues Reveals a Critical Role of Bone Mineral and Informs Drug Discovery. Adv Healthc Mater 2022; 11:e2200768. [PMID: 35767377 PMCID: PMC10162498 DOI: 10.1002/adhm.202200768] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 06/10/2022] [Indexed: 01/27/2023]
Abstract
Osteosarcoma (OS) is an aggressive bone cancer for which survival has not improved over three decades. While biomaterials have been widely used to engineer 3D soft-tissue tumor models, the potential of engineering 3D biomaterials-based OS models for comprehensive interrogation of OS pathology and drug discovery remains untapped. Bone is characterized by high mineral content, yet the role of bone mineral in OS progression and drug response remains unknown. Here, a microribbon-based OS model with bone-mimicking compositions is developed to elucidate the role of 3D culture and hydroxyapatite in OS signaling and drug response. The results reveal that hydroxyapatite in 3D is critical to support retention of OS signaling and drug resistance similar to patient tissues and mouse orthotopic tumors. The physiological relevance of this 3D model is validated using four established OS cell lines, seven patient-derived xenograft (PDX) cell lines and two animal models. Integrating 3D OS PDX models with RNA-sequencing identified 3D-specific druggable target, which predicts drug response in mouse orthotopic model. These results establish microribbon-based 3D OS models as a novel experimental tool to enable discovery of novel therapeutics that would be otherwise missed with 2D model and may serve as platforms to study patient-specific OS heterogeneity and drug resistance mechanisms.
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Affiliation(s)
| | - Alex G. Lee
- Division of Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California, 94143, USA
| | - Leanne C. Sayles
- Division of Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California, 94143, USA
| | - Criselle Feria
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - E. Alejandro Sweet-Cordero
- Division of Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California, 94143, USA
| | - Fan Yang
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
- Department of Orthopaedic Surgery, Stanford University, Stanford, CA, 94305, USA
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10
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Zhang Y, He R, Lei X, Mao L, Yin Z, Zhong X, Cao W, Zheng Q, Li D. Comprehensive Analysis of a Ferroptosis-Related lncRNA Signature for Predicting Prognosis and Immune Landscape in Osteosarcoma. Front Oncol 2022; 12:880459. [PMID: 35837104 PMCID: PMC9273977 DOI: 10.3389/fonc.2022.880459] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 05/25/2022] [Indexed: 12/19/2022] Open
Abstract
Research on the implications of ferroptosis in tumors has increased rapidly in the last decades. There are evidences that ferroptosis is involved in several aspects of cancer biology, including tumor progression, metastasis, immunomodulation, and therapeutic response. Nonetheless, the interaction between ferroptosis-related lncRNAs (FRLs) and the osteosarcoma immune microenvironment is poorly understood. In this study, a risk model composed of FRLs was developed using univariate and LASSO Cox regression analyses. On the basis of this model, FRL scores were calculated to systematically explore the role of the model in predicting the prognosis and immune characteristics of osteosarcoma patients. Survival analysis showed that osteosarcoma samples with lower FRL-score had better overall survival. After predicting the abundance of immune cells in osteosarcoma microenvironment by single-sample gene-set enrichment analysis (ssGSEA) and ESTIMATE analysis, we found that the FRL-score could distinguish immune function, immune score, stromal score, tumor purity, and tumor infiltration of immune cells in different osteosarcoma patients. In addition, FRL-score was also associated with immune checkpoint gene expression and half-maximal inhibitory concentration of chemotherapeutic agents. Finally, we confirmed that knockdown of RPARP-AS1 suppressed the malignant activity of osteosarcoma cells in vitro experiments. In general, the FRL-based prognostic signature could promote our understanding of the immune microenvironment characteristics of osteosarcoma and guide more effective treatment regimens.
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Affiliation(s)
- Yiming Zhang
- Department of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Rong He
- Cancer Institute, The Affiliated People’s Hospital of Jiangsu University, Zhenjiang, China
| | - Xuan Lei
- Department of Burn and Plastic Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Lianghao Mao
- Department of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Zhengyu Yin
- Department of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Xinyu Zhong
- Department of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Wenbing Cao
- Department of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Qiping Zheng
- Department of Hematological Laboratory Science, Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China
- Shenzhen Academy of Peptide Targeting Technology at Pingshan, and Shenzhen Tyercan Bio-Pharm Co., Ltd., Shenzhen, China
- *Correspondence: Dapeng Li, ; Qiping Zheng,
| | - Dapeng Li
- Department of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China
- *Correspondence: Dapeng Li, ; Qiping Zheng,
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11
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van der Graaf W, Tesselaar M, McVeigh T, Oyen W, Fröhling S. Biology-Guided Precision Medicine in Rare Cancers: Lessons from Sarcomas and Neuroendocrine Tumours. Semin Cancer Biol 2022; 84:228-241. [DOI: 10.1016/j.semcancer.2022.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 05/19/2022] [Accepted: 05/19/2022] [Indexed: 11/26/2022]
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12
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Torres HM, VanCleave AM, Vollmer M, Callahan DL, Smithback A, Conn JM, Rodezno-Antunes T, Gao Z, Cao Y, Afeworki Y, Tao J. Selective Targeting of Class I Histone Deacetylases in a Model of Human Osteosarcoma. Cancers (Basel) 2021; 13:4199. [PMID: 34439353 PMCID: PMC8394112 DOI: 10.3390/cancers13164199] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 08/06/2021] [Accepted: 08/13/2021] [Indexed: 02/01/2023] Open
Abstract
Dysregulation of histone deacetylases (HDACs) is associated with the pathogenesis of human osteosarcoma, which may present an epigenetic vulnerability as well as a therapeutic target. Domatinostat (4SC-202) is a next-generation class I HDAC inhibitor that is currently being used in clinical research for certain cancers, but its impact on human osteosarcoma has yet to be explored. In this study, we report that 4SC-202 inhibits osteosarcoma cell growth in vitro and in vivo. By analyzing cell function in vitro, we show that the anti-tumor effect of 4SC-202 involves the combined induction of cell-cycle arrest at the G2/M phase and apoptotic program, as well as a reduction in cell invasion and migration capabilities. We also found that 4SC-202 has little capacity to promote osteogenic differentiation. Remarkably, 4SC-202 revised the global transcriptome and induced distinct signatures of gene expression in vitro. Moreover, 4SC-202 decreased tumor growth of established human tumor xenografts in immunodeficient mice in vivo. We further reveal key targets regulated by 4SC-202 that contribute to tumor cell growth and survival, and canonical signaling pathways associated with progression and metastasis of osteosarcoma. Our study suggests that 4SC-202 may be exploited as a valuable drug to promote more effective treatment of patients with osteosarcoma and provide molecular insights into the mechanism of action of class I HDAC inhibitors.
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Affiliation(s)
- Haydee M. Torres
- Cancer Biology & Immunotherapies Group at Sanford Research, Sioux Falls, SD 57104, USA; (H.M.T.); (A.M.V.); (T.R.-A.); (Y.C.)
- Department of Chemistry and Biochemistry, South Dakota State University, Brookings, SD 57007, USA
| | - Ashley M. VanCleave
- Cancer Biology & Immunotherapies Group at Sanford Research, Sioux Falls, SD 57104, USA; (H.M.T.); (A.M.V.); (T.R.-A.); (Y.C.)
| | - Mykayla Vollmer
- Medical Student Research Program, University of South Dakota, Vermillion, SD 57069, USA;
| | - Dakota L. Callahan
- Sanford Program for Undergraduate Research, University of Sioux Falls, Sioux Falls, SD 57104, USA;
| | - Austyn Smithback
- Sanford PROMISE Scholar Program, Harrisburg High School, Sioux Falls, SD 57104, USA;
| | - Josephine M. Conn
- Sanford Program for Undergraduate Research, Carleton College, Northfield, MN 55057, USA;
| | - Tania Rodezno-Antunes
- Cancer Biology & Immunotherapies Group at Sanford Research, Sioux Falls, SD 57104, USA; (H.M.T.); (A.M.V.); (T.R.-A.); (Y.C.)
| | - Zili Gao
- Flow Cytometry Core at Sanford Research, Sioux Falls, SD 57104, USA;
| | - Yuxia Cao
- Cancer Biology & Immunotherapies Group at Sanford Research, Sioux Falls, SD 57104, USA; (H.M.T.); (A.M.V.); (T.R.-A.); (Y.C.)
| | - Yohannes Afeworki
- Functional Genomics & Bioinformatics Core Facility at Sanford Research, Sioux Falls, SD 57104, USA;
| | - Jianning Tao
- Cancer Biology & Immunotherapies Group at Sanford Research, Sioux Falls, SD 57104, USA; (H.M.T.); (A.M.V.); (T.R.-A.); (Y.C.)
- Department of Chemistry and Biochemistry, South Dakota State University, Brookings, SD 57007, USA
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Vermillion, SD 57069, USA
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