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Yi C, Liu J, Zhao S, Gong D, Xu B, Li A, Bian E, Tian D. Identification of a pro-protein synthesis osteosarcoma subtype for predicting prognosis and treatment. Sci Rep 2024; 14:16475. [PMID: 39014082 PMCID: PMC11252356 DOI: 10.1038/s41598-024-67547-z] [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: 11/22/2023] [Accepted: 07/12/2024] [Indexed: 07/18/2024] Open
Abstract
Osteosarcoma (OS) is a heterogeneous malignant spindle cell tumor that is aggressive and has a poor prognosis. Although combining surgery and chemotherapy has significantly improved patient outcomes, the prognosis for OS patients with metastatic or recurrent OS has remained unsatisfactory. Therefore, it is imperative to gain a fresh perspective on OS development mechanisms and treatment strategies. After studying single-cell RNA sequencing (scRNA-seq) data in public databases, we identified seven OS subclonal types based on intra-tumor heterogeneity. Subsequently, we constructed a prognostic model based on pro-protein synthesis osteosarcoma (PPS-OS)-associated genes. Correlation analysis showed that the prognostic model performs extremely well in predicting OS patient prognosis. We also demonstrated that the independent risk factors for the prognosis of OS patients were tumor primary site, metastatic status, and risk score. Based on these factors, nomograms were constructed for predicting the 3- and 5-year survival rates. Afterward, the investigation of the tumor immune microenvironment (TIME) revealed the vital roles of γδ T-cell and B-cell activation. Drug sensitivity analysis and immune checkpoint analysis identified drugs that have potential application value in OS. Finally, the jumping translocation breakpoint (JTB) gene was selected for experimental validation. JTB silencing suppressed the proliferation, migration, and invasion of OS cells. Therefore, our research suggests that PPS-OS-related genes facilitate the malignant progression of OS and may be employed as prognostic indicators and therapeutic targets in OS.
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Affiliation(s)
- Chengfeng Yi
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Jun Liu
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Shibing Zhao
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Deliang Gong
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Bohan Xu
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Ao Li
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Erbao Bian
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
| | - Dasheng Tian
- Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
- Institute of Orthopaedics, Research Center for Translational Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
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Tang H, Xie J, Du YX, Tan ZJ, Liang ZT. Osteosarcoma neutrophil extracellular trap network-associated gene recurrence and metastasis model. J Cancer Res Clin Oncol 2024; 150:48. [PMID: 38285218 PMCID: PMC10824883 DOI: 10.1007/s00432-023-05577-2] [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: 07/31/2023] [Accepted: 11/28/2023] [Indexed: 01/30/2024]
Abstract
Osteosarcoma (OS) is the most common malignancy in children and adolescents and has a high probability of recurrence and metastasis. A growing number of studies have shown that neutrophil extracellular traps (NETs) are strongly associated with cancer metastasis, but in osteosarcoma, genes associated with NETs that promote osteosarcoma recurrence and metastasis remain to be explored. We systematically investigated the gene expression patterns of NETs in OS samples from the GEO database. NETs molecular typing was evaluated based on NETs expression profiles, and the association between NETs molecular subtypes and immune microenvironment and metastatic features were explored. Ultimately, we constructed a signature model and column line graph associated with metastasis prediction and screened possible potential drugs for metastatic osteosarcoma. We established two different molecular subtypes of NETs, which showed significant differences in metastatic status, metastasis time, tumor immune microenvironment, and biological effects. We also constructed a NETs-related gene metastasis signature(NRGMS) to assess the expression pattern of NETs in patients to predict metastatic recurrence in osteosarcoma patients. We screened for TOMM40 and FH associated with metastatic recurrence in osteosarcoma patients. Overall, this study constructs a predictive model for osteosarcoma metastasis of NETs-related genes, which is expected to provide new insights into the metastasis of osteosarcoma.
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Affiliation(s)
- Hao Tang
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Jiang Xie
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Yu-Xuan Du
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Ze-Jiu Tan
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Zhuo-Tao Liang
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
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Natterson-Horowitz B, Linde A. Cardiomyopathy Across the Tree of Life: Insights for Clinicians and Investigators. Circ Heart Fail 2023; 16:e010485. [PMID: 37492949 DOI: 10.1161/circheartfailure.123.010485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Affiliation(s)
- B Natterson-Horowitz
- Department of Medicine, Harvard Medical School, Boston, MA (B.N.-H.)
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA (B.N.-H.)
- Division of Cardiology, David Geffen School of Medicine at the University of California, Los Angeles (B.N.-H.)
| | - A Linde
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, CA (A.L.)
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Ware KE, Thomas BC, Olawuni PD, Sheth MU, Hawkey N, Yeshwanth M, Miller BC, Vietor KJ, Jolly MK, Kim SY, Armstrong AJ, Somarelli JA. A synthetic lethal screen for Snail-induced enzalutamide resistance identifies JAK/STAT signaling as a therapeutic vulnerability in prostate cancer. Front Mol Biosci 2023; 10:1104505. [PMID: 37228586 PMCID: PMC10203420 DOI: 10.3389/fmolb.2023.1104505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 04/25/2023] [Indexed: 05/27/2023] Open
Abstract
Despite substantial improvements in the treatment landscape of prostate cancer, the evolution of hormone therapy-resistant and metastatic prostate cancer remains a major cause of cancer-related death globally. The mainstay of treatment for advanced prostate cancer is targeting of androgen receptor signaling, including androgen deprivation therapy plus second-generation androgen receptor blockade (e.g., enzalutamide, apalutamide, darolutamide), and/or androgen synthesis inhibition (abiraterone). While these agents have significantly prolonged the lives of patients with advanced prostate cancer, is nearly universal. This therapy resistance is mediated by diverse mechanisms, including both androgen receptor-dependent mechanisms, such as androgen receptor mutations, amplifications, alternative splicing, and amplification, as well as non-androgen receptor-mediated mechanisms, such as lineage plasticity toward neuroendocrine-like or epithelial-mesenchymal transition (EMT)-like lineages. Our prior work identified the EMT transcriptional regulator Snail as critical to hormonal therapy resistance and is commonly detected in human metastatic prostate cancer. In the current study, we sought to interrogate the actionable landscape of EMT-mediated hormone therapy resistant prostate cancer to identify synthetic lethality and collateral sensitivity approaches to treating this aggressive, therapy-resistant disease state. Using a combination of high-throughput drug screens and multi-parameter phenotyping by confluence imaging, ATP production, and phenotypic plasticity reporters of EMT, we identified candidate synthetic lethalities to Snail-mediated EMT in prostate cancer. These analyses identified multiple actionable targets, such as XPO1, PI3K/mTOR, aurora kinases, c-MET, polo-like kinases, and JAK/STAT as synthetic lethalities in Snail+ prostate cancer. We validated these targets in a subsequent validation screen in an LNCaP-derived model of resistance to sequential androgen deprivation and enzalutamide. This follow-up screen provided validation of inhibitors of JAK/STAT and PI3K/mTOR as therapeutic vulnerabilities for both Snail+ and enzalutamide-resistant prostate cancer.
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Affiliation(s)
- Kathryn E. Ware
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, United States
- Duke Cancer Institute Center for Prostate and Urologic Cancers, Duke University Medical Center, Durham, NC, United States
| | - Beatrice C. Thomas
- Dr. Kiran C Patel College of Allopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, United States
| | - Pelumi D. Olawuni
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, United States
- Duke Cancer Institute Center for Prostate and Urologic Cancers, Duke University Medical Center, Durham, NC, United States
| | - Maya U. Sheth
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, United States
- Duke Cancer Institute Center for Prostate and Urologic Cancers, Duke University Medical Center, Durham, NC, United States
| | - Nathan Hawkey
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, United States
- Duke Cancer Institute Center for Prostate and Urologic Cancers, Duke University Medical Center, Durham, NC, United States
| | - M. Yeshwanth
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - Brian C. Miller
- Division of Oncology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Katherine J. Vietor
- Division of Oncology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Mohit Kumar Jolly
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - So Young Kim
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC, United States
| | - Andrew J. Armstrong
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, United States
- Duke Cancer Institute Center for Prostate and Urologic Cancers, Duke University Medical Center, Durham, NC, United States
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, United States
| | - Jason A. Somarelli
- Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, United States
- Duke Cancer Institute Center for Prostate and Urologic Cancers, Duke University Medical Center, Durham, NC, United States
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5
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Xu F, Yan J, Peng Z, Liu J, Li Z. Comprehensive analysis of a glycolysis and cholesterol synthesis-related genes signature for predicting prognosis and immune landscape in osteosarcoma. Front Immunol 2022; 13:1096009. [PMID: 36618348 PMCID: PMC9822727 DOI: 10.3389/fimmu.2022.1096009] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 12/09/2022] [Indexed: 12/24/2022] Open
Abstract
Background Glycolysis and cholesterol synthesis are crucial in cancer metabolic reprogramming. The aim of this study was to identify a glycolysis and cholesterol synthesis-related genes (GCSRGs) signature for effective prognostic assessments of osteosarcoma patients. Methods Gene expression data and clinical information were obtained from GSE21257 and TARGET-OS datasets. Consistent clustering method was used to identify the GCSRGs-related subtypes. Univariate Cox regression and LASSO Cox regression analyses were used to construct the GCSRGs signature. The ssGSEA method was used to analyze the differences in immune cells infiltration. The pRRophetic R package was utilized to assess the drug sensitivity of different groups. Western blotting, cell viability assay, scratch assay and Transwell assay were used to perform cytological validation. Results Through bioinformatics analysis, patients diagnosed with osteosarcoma were classified into one of 4 subtypes (quiescent, glycolysis, cholesterol, and mixed subtypes), which differed significantly in terms of prognosis and tumor microenvironment. Weighted gene co-expression network analysis revealed that the modules strongly correlated with glycolysis and cholesterol synthesis were the midnight blue and the yellow modules, respectively. Both univariate and LASSO Cox regression analyses were conducted on screened module genes to identify 5 GCSRGs (RPS28, MCAM, EN1, TRAM2, and VEGFA) constituting a prognostic signature for osteosarcoma patients. The signature was an effective prognostic predictor, independent of clinical characteristics, as verified further via Kaplan-Meier analysis, ROC curve analysis, univariate and multivariate Cox regression analysis. Additionally, GCSRGs signature had strong correlation with drug sensitivity, immune checkpoints and immune cells infiltration. In cytological experiments, we selected TRAM2 as a representative gene to validate the validity of GCSRGs signature, which found that TRAM2 promoted the progression of osteosarcoma cells. Finally, at the pan-cancer level, TRAM2 had been correlated with overall survival, progression free survival, disease specific survival, tumor mutational burden, microsatellite instability, immune checkpoints and immune cells infiltration. Conclusion Therefore, we constructed a GCSRGs signature that efficiently predicted osteosarcoma patient prognosis and guided therapy.
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Affiliation(s)
- Fangxing Xu
- Department of Orthopedics, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Jinglong Yan
- Department of Orthopedics, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China,*Correspondence: Jinglong Yan,
| | - Zhibin Peng
- Department of Orthopedics, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Jingsong Liu
- Department of Orthopedics, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Zecheng Li
- Department of Orthopedics, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
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Dayanidhi DL, Somarelli JA, Mantyh JB, Rupprecht G, Roghani RS, Vincoff S, Shin I, Zhao Y, Kim SY, McCall S, Hong J, Hsu DS. Psymberin, a marine-derived natural product, induces cancer cell growth arrest and protein translation inhibition. Front Med (Lausanne) 2022; 9:999004. [PMID: 36743670 PMCID: PMC9894252 DOI: 10.3389/fmed.2022.999004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 10/18/2022] [Indexed: 01/20/2023] Open
Abstract
Colorectal cancer (CRC) is the third most prevalent form of cancer in the United States and results in over 50,000 deaths per year. Treatments for metastatic CRC are limited, and therefore there is an unmet clinical need for more effective therapies. In our prior work, we coupled high-throughput chemical screens with patient-derived models of cancer to identify new potential therapeutic targets for CRC. However, this pipeline is limited by (1) the use of cell lines that do not appropriately recapitulate the tumor microenvironment, and (2) the use of patient-derived xenografts (PDXs), which are time-consuming and costly for validation of drug efficacy. To overcome these limitations, we have turned to patient-derived organoids. Organoids are increasingly being accepted as a "standard" preclinical model that recapitulates tumor microenvironment cross-talk in a rapid, cost-effective platform. In the present work, we employed a library of natural products, intermediates, and drug-like compounds for which full synthesis has been demonstrated. Using this compound library, we performed a high-throughput screen on multiple low-passage cancer cell lines to identify potential treatments. The top candidate, psymberin, was further validated, with a focus on CRC cell lines and organoids. Mechanistic and genomics analyses pinpointed protein translation inhibition as a mechanism of action of psymberin. These findings suggest the potential of psymberin as a novel therapy for the treatment of CRC.
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Affiliation(s)
- Divya L. Dayanidhi
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Center for Genomics and Computational Biology, Duke University, Durham, NC, United States
| | - Jason A. Somarelli
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
| | - John B. Mantyh
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Center for Genomics and Computational Biology, Duke University, Durham, NC, United States
| | - Gabrielle Rupprecht
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Center for Genomics and Computational Biology, Duke University, Durham, NC, United States
| | - Roham Salman Roghani
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Center for Genomics and Computational Biology, Duke University, Durham, NC, United States
| | - Sophia Vincoff
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
| | - Iljin Shin
- Department of Chemistry, Duke University, Durham, NC, United States
| | - Yiquan Zhao
- Department of Chemistry, Duke University, Durham, NC, United States
| | - So Young Kim
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, United States
| | - Shannon McCall
- Department of Pathology, Duke University, Durham, NC, United States
| | - Jiyong Hong
- Department of Chemistry, Duke University, Durham, NC, United States
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, United States
| | - David S. Hsu
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Center for Genomics and Computational Biology, Duke University, Durham, NC, United States
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Comparative Evaluation of Tumor-Infiltrating Lymphocytes in Companion Animals: Immuno-Oncology as a Relevant Translational Model for Cancer Therapy. Cancers (Basel) 2022; 14:cancers14205008. [PMID: 36291791 PMCID: PMC9599753 DOI: 10.3390/cancers14205008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 10/04/2022] [Accepted: 10/08/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Laboratory experiments studying solid tumors are limited by the inability to adequately model the tumor microenvironment and important immune interactions. Immune cells that infiltrate the tumor bed or periphery have been documented as reliable biomarkers in human studies. Veterinary oncology provides a naturally occurring cancer model that could complement biomarker discovery, clinical trials, and drug development. Abstract Despite the important role of preclinical experiments to characterize tumor biology and molecular pathways, there are ongoing challenges to model the tumor microenvironment, specifically the dynamic interactions between tumor cells and immune infiltrates. Comprehensive models of host-tumor immune interactions will enhance the development of emerging treatment strategies, such as immunotherapies. Although in vitro and murine models are important for the early modelling of cancer and treatment-response mechanisms, comparative research studies involving veterinary oncology may bridge the translational pathway to human studies. The natural progression of several malignancies in animals exhibits similar pathogenesis to human cancers, and previous studies have shown a relevant and evaluable immune system. Veterinary oncologists working alongside oncologists and cancer researchers have the potential to advance discovery. Understanding the host-tumor-immune interactions can accelerate drug and biomarker discovery in a clinically relevant setting. This review presents discoveries in comparative immuno-oncology and implications to cancer therapy.
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8
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Proteasome Inhibitors and Their Potential Applicability in Osteosarcoma Treatment. Cancers (Basel) 2022; 14:cancers14194544. [PMID: 36230467 PMCID: PMC9559645 DOI: 10.3390/cancers14194544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/14/2022] [Accepted: 09/14/2022] [Indexed: 11/26/2022] Open
Abstract
Simple Summary Bone cancer has seen minimal benefits in therapeutic options in the past 30 years. Proteasome inhibitors present a new avenue of research for the treatment of bone cancer. Proteasome inhibitors impair the function of the proteasome, a structure within the cell that removes unwanted and misfolded proteins. Bone cancer cells heavily rely on the proteasome to properly function and survive. Impairing the proteasome function can have detrimental consequences and lead to cell death. This review provides a thorough summary of the in vitro, in vivo, and clinical research that has explored proteasome inhibitors for the treatment of bone cancer. Abstract Osteosarcoma (OS) is the most common type of bone cancer, with ~30% of patients developing secondary/metastatic tumors. The molecular complexity of tumor metastasis and the lack of effective therapies for OS has cultivated interest in exploiting the proteasome as a molecular target for anti-cancer therapy. As our understanding towards the behavior of malignant cells expands, it is evident that cancerous cells display a greater reliance on the proteasome to maintain homeostasis and sustain efficient biological activities. This led to the development and approval of first- and second-generation proteasome inhibitors (PIs), which have improved outcomes for patients with multiple myeloma and mantle cell lymphoma. Researchers have since postulated the therapeutic potential of PIs for the treatment of OS. As such, this review aims to summarize the biological effects and latest findings from clinical trials investigating PI-based treatments for OS. Integrating PIs into current treatment regimens may better outcomes for patients diagnosed with OS.
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Luu AK, Cadieux M, Wong M, Macdonald R, Jones R, Choi D, Oblak M, Brisson B, Sauer S, Chafitz J, Warshawsky D, Wood GA, Viloria-Petit AM. Proteomic Assessment of Extracellular Vesicles from Canine Tissue Explants as a Pipeline to Identify Molecular Targets in Osteosarcoma: PSMD14/Rpn11 as a Proof of Principle. Int J Mol Sci 2022; 23:ijms23063256. [PMID: 35328679 PMCID: PMC8953151 DOI: 10.3390/ijms23063256] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 03/07/2022] [Accepted: 03/14/2022] [Indexed: 12/12/2022] Open
Abstract
Osteosarcoma (OS) is a highly malignant bone tumour that has seen little improvement in treatment modalities in the past 30 years. Understanding what molecules contribute to OS biology could aid in the discovery of novel therapies. Extracellular vesicles (EVs) serve as a mode of cell-to-cell communication and have the potential to uncover novel protein signatures. In our research, we developed a novel pipeline to isolate, characterize, and profile EVs from normal bone and osteosarcoma tissue explants from canine OS patients. Proteomic analysis of vesicle preparations revealed a protein signature related to protein metabolism. One molecule of interest, PSMD14/Rpn11, was explored further given its prognostic potential in human and canine OS, and its targetability with the drug capzimin. In vitro experiments demonstrated that capzimin induces apoptosis and reduces clonogenic survival, proliferation, and migration in two metastatic canine OS cell lines. Capzimin also reduces the viability of metastatic human OS cells cultured under 3D conditions that mimic the growth of OS cells at secondary sites. This unique pipeline can improve our understanding of OS biology and identify new prognostic markers and molecular targets for both canine and human OS patients.
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Affiliation(s)
- Anita K. Luu
- Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (A.K.L.); (M.C.); (M.W.); (R.M.)
| | - Mia Cadieux
- Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (A.K.L.); (M.C.); (M.W.); (R.M.)
| | - Mackenzie Wong
- Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (A.K.L.); (M.C.); (M.W.); (R.M.)
| | - Rachel Macdonald
- Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (A.K.L.); (M.C.); (M.W.); (R.M.)
| | - Robert Jones
- Department of Animal Biosciences, Ontario Agricultural College, University of Guelph, Guelph, ON N1G 2W1, Canada;
| | - Dongsic Choi
- Department of Biochemistry, College of Medicine, Soonchunhyang University, Cheonan 31151, Korea;
| | - Michelle Oblak
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (M.O.); (B.B.)
| | - Brigitte Brisson
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (M.O.); (B.B.)
| | - Scott Sauer
- Vuja De Sciences, Inc., Natick, MA 01760, USA; (S.S.); (D.W.)
| | | | | | - Geoffrey A. Wood
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada;
| | - Alicia M. Viloria-Petit
- Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada; (A.K.L.); (M.C.); (M.W.); (R.M.)
- Correspondence:
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10
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Allen TA, Cullen MM, Hawkey N, Mochizuki H, Nguyen L, Schechter E, Borst L, Yoder JA, Freedman JA, Patierno SR, Cheng K, Eward WC, Somarelli JA. A Zebrafish Model of Metastatic Colonization Pinpoints Cellular Mechanisms of Circulating Tumor Cell Extravasation. Front Oncol 2021; 11:641187. [PMID: 34631514 PMCID: PMC8495265 DOI: 10.3389/fonc.2021.641187] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 08/31/2021] [Indexed: 01/18/2023] Open
Abstract
Metastasis is a multistep process in which cells must detach, migrate/invade local structures, intravasate, circulate, extravasate, and colonize. A full understanding of the complexity of this process has been limited by the lack of ability to study these steps in isolation with detailed molecular analyses. Leveraging a comparative oncology approach, we injected canine osteosarcoma cells into the circulation of transgenic zebrafish with fluorescent blood vessels in a biologically dynamic metastasis extravasation model. Circulating tumor cell clusters that successfully extravasated the vasculature as multicellular units were isolated under intravital imaging (n = 6). These extravasation-positive tumor cell clusters sublines were then molecularly profiled by RNA-Seq. Using a systems-level analysis, we pinpointed the downregulation of KRAS signaling, immune pathways, and extracellular matrix (ECM) organization as enriched in extravasated cells (p < 0.05). Within the extracellular matrix remodeling pathway, we identified versican (VCAN) as consistently upregulated and central to the ECM gene regulatory network (p < 0.05). Versican expression is prognostic for a poorer metastasis-free and overall survival in patients with osteosarcoma. Together, our results provide a novel experimental framework to study discrete steps in the metastatic process. Using this system, we identify the versican/ECM network dysregulation as a potential contributor to osteosarcoma circulating tumor cell metastasis.
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Affiliation(s)
- Tyler A Allen
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
| | - Mark M Cullen
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
| | - Nathan Hawkey
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
| | - Hiroyuki Mochizuki
- Department of Molecular Biomedical Sciences and Comparative Medicine Institute, North Carolina State University, Raleigh, NC, United States
| | - Lan Nguyen
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
| | - Elyse Schechter
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
| | - Luke Borst
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States
| | - Jeffrey A Yoder
- Department of Molecular Biomedical Sciences and Comparative Medicine Institute, North Carolina State University, Raleigh, NC, United States
| | - Jennifer A Freedman
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States.,Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, United States
| | - Steven R Patierno
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States.,Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, United States
| | - Ke Cheng
- Department of Molecular Biomedical Sciences and Comparative Medicine Institute, North Carolina State University, Raleigh, NC, United States.,Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, United States
| | - William C Eward
- Department of Orthopedics, Duke University Medical Center, Durham, NC, United States
| | - Jason A Somarelli
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States.,Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC, United States
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11
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Tang F, Tie Y, Wei YQ, Tu CQ, Wei XW. Targeted and immuno-based therapies in sarcoma: mechanisms and advances in clinical trials. Biochim Biophys Acta Rev Cancer 2021; 1876:188606. [PMID: 34371128 DOI: 10.1016/j.bbcan.2021.188606] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 07/04/2021] [Accepted: 08/02/2021] [Indexed: 02/08/2023]
Abstract
Sarcomas represent a distinct group of rare malignant tumors with high heterogeneity. Limited options with clinical efficacy for the metastatic or local advanced sarcoma existed despite standard therapy. Recently, targeted therapy according to the molecular and genetic phenotype of individual sarcoma is a promising option. Among these drugs, anti-angiogenesis therapy achieved favorable efficacy in sarcomas. Inhibitors targeting cyclin-dependent kinase 4/6, poly-ADP-ribose polymerase, insulin-like growth factor-1 receptor, mTOR, NTRK, metabolisms, and epigenetic drugs are under clinical evaluation for sarcomas bearing the corresponding signals. Immunotherapy represents a promising and favorable method in advanced solid tumors. However, most sarcomas are immune "cold" tumors, with only alveolar soft part sarcoma and undifferentiated pleomorphic sarcoma respond to immune checkpoint inhibitors. Cellular therapies with TCR-engineered T cells, chimeric antigen receptor T cells, tumor infiltrating lymphocytes, and nature killer cells transfer show therapeutic potential. Identifying tumor-specific antigens and exploring immune modulation factors arguing the efficacy of these immunotherapies are the current challenges. This review focuses on the mechanisms, advances, and potential strategies of targeted and immune-based therapies in sarcomas.
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Affiliation(s)
- Fan Tang
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China; Department of Orthopeadics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China
| | - Yan Tie
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Yu-Quan Wei
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Chong-Qi Tu
- Department of Orthopeadics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
| | - Xia-Wei Wei
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
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