Biomarkers of Osteosarcoma, Chondrosarcoma, and Ewing Sarcoma

Evola, Francesco Roberto; Costarella, Luciano; Pavone, Vito; Caff, Giuseppe; Cannavò, Luca; Sessa, Andrea; Avondo, Sergio; Sessa, Giuseppe

doi:10.3389/fphar.2017.00150

Cited by 86 publications

(90 citation statements)

References 114 publications

(171 reference statements)

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“…So as to improve the overall survival rate of OS patients, a better understanding of the underlying molecular mechanism of OS is needed. Previous studied have demonstrated several target biomarkers of OS based on both gene expression pro ling and micro-RNA pro ling of the primary tumor [21]. Wang and Baumhoer et al had analyzed the OS sample by RT-PCR or immunohistochemistry and observed that insulin-like growth factor-1 receptor (IGF-1R) and cysteine-rich intestinal protein 1(CRIP1) were independent prognostic markers for OS and the high expression of these two markers was correlated with progression and metastasis of OS [22,23].…”

Section: Discussionmentioning

confidence: 99%

Identification of potential prognostic markers for osteosarcoma by integrated analysis

Ding

Bian

et al. 2020

Preprint

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Background: Osteosarcoma (OS) is the most common type of musculoskeletal malignant tumor, accounting for over 30% of primary skeletal sarcomas. Although great efforts have been made, the mechanism of OS still remains largely unknown. In this study, we aim to identify gene modules and representative candidate biomarkers for clinical diagnosis of patients with OS, and reveal the mechanisms of OS progression.Methods: Weighted gene co-expression network analysis (WGCNA) was conducted to construct a co-expression network and investigate the relationship between modules and clinical traits. Functional enrichment analysis was performed on module genes. Protein-protein interaction (PPI) network was constructed to identify the hub gene and the expression level of hub genes was validated based on another dataset.Results: A total of 9854 genes were included in WGCNA, and 17 gene modules were constructed. Gene module related with OS in sacrum was mainly enriched in skeletal system development, bone development and extracellular structure organization. Furthermore, we screened the top 10 hub genes and further validated 5 of the 10 (MMP13, DCN, GNG2, PCOLCE and RUNX2), the expression of which were upregulated as compared with normal tissues.Conclusion: The hub gene we identified show great promise as prognostic markers for the management of OS and our findings also provide new insight for molecular mechanism of OS.

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Section: Discussionmentioning

confidence: 99%

Identification of potential prognostic markers for osteosarcoma by integrated analysis

Ding

Bian

et al. 2020

Preprint

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“…[44] These results suggest that miR-145-3p may play a role as a tumor suppressor in OSs. [45,46] Circular RNAs(circRNAs) have a circular structure and represent a common class of the uncoded RNAs. Many circRNAs have been reported to play a significant role in cancer development and to have the potential to serve as a new bioindicator class for clinical diagnosis.…”

Section: Mirna Circrna and Lncrna In Osteosarcomamentioning

confidence: 99%

Genetics of Osteosarcomas

ÖZDENOĞLU¹

2020

TJ Oncol

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Osteosarcoma (OS) is the most common bone cancer in children and young adults. Most cases are high grade and aggressive. Studies on the OS genetics have become important in recent years. The reason for the small number of studies on OSs is because the tumor is rarely detected. OSs mostly develop in the femur, tibia, and humerus. Overt metastasis may be detected in 20%-25% of cases. The first genetic studies of OSs were the studies conducted at the cytogenetic level. They showed that OSs had aneuploidic characteristics. Because studies for identifying the gene expression levels used the cytogenetic and molecular analyses, substantial data were available on OSs. In addition, OSs have been found to have a wide miRNA spectrum. The results obtained particularly from the circRNA and miRNA studies suggested that these molecules might be used as biomarkers in the identification of the drug resistance, which reveals the importance of genetic changes in the follow-up of diagnosis and treatment. The aim of the present review was to collect the cytogenetic and molecular studies of OSs and to summarize the genetic data of OSs.

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“…Osteosarcoma (OS) is a primary malignant bone tumor that has bimodal age distribution with the first peak of invasion occurs on children and adolescence between the ages of 10 and 20 years old, and the second peak of invasion occurs after 65 years of age [1]. Although OS incidences are rare, OS has been reported as the most common primary malignant bone tumor (36%) followed by chondrosarcoma (20-25%) and Ewing sarcoma (16%) [2,3] and it has been pre-dominated by male with the ratio of 1.6-1.7:1 [4]. To date, the current therapeutic strategies are still unable to provide promising long-term OS prognosis, whereby over 40% of patients experience relapsed and 20% of patients were diagnosed with metastatic OS [5].…”

Section: Introductionmentioning

confidence: 99%

Aberrant N-Glycosylation Regulates Invasion of Mg-63 Cells Through Extracellular Matrix Remodeling

2019

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Objective: Despite advances in multimodal therapy, osteosarcoma (OS) still imposes big challenge due to its high rate of metastasis. The previousstudies reported that aberrant glycosylation in the cells mediates the invasion of several cancers including OS. However, its mechanism, particularlyN-glycosylation in OS progression, is still poorly understood. Thus, this study aims to investigate the effect of glycosylation inhibitions toward OS cellsinvasiveness.Materials and Methods: Both 1-deoxynojirimycin (DNJ) and 1-deoxymannojirimycin (1-DMJ) were used to inhibit the activities ofalpha-glucosidase-I/II and alpha-1,2-mannosidase, respectively. Invasion assay and real-time polymerase chain reaction (PCR) (quantitative PCR[qPCR]) analysis of extracellular matrix-related genes were performed at post 24 h of treatment with the inhibitors, 0.5 mM 1-DNJ and 0.5 mM 1-DMJ,respectively, on the OS cell line, MG-63.Results: Results showed that the inhibition of N-glycosylation with 1-DNJ decreases the invasion rate of MG-63 cells while the inhibition ofN-glycosylation by 1-DMJ caused the invasion rate of MG-63 cells to increase. qPCR analysis showed downregulated expression of matrixmetalloproteinase (MMP2) gene in both types of treatments while the expression of its inhibitor, tissue inhibitor of metalloproteinase (TIMP2) wasupregulated in both types of treatments. In this study, MMP9 genes were not detected in both samples; however, the expression of its inhibitor, TIMP1was downregulated in MG-63 cells treated with 1-DNJ but upregulated in 1-DMJ treated cells.Conclusion: It is concluded that 1-DNJ reduced the invasion rate in MG-63 cells through downregulation of MMP2 gene which subsequently reduceddegradation of collagen type IV. However, the contrasting effect showed by 1-DMJ requires further investigation to elucidate its underlying mechanism.

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Biomarkers of Osteosarcoma, Chondrosarcoma, and Ewing Sarcoma

Cited by 86 publications

References 114 publications

Identification of potential prognostic markers for osteosarcoma by integrated analysis

Identification of potential prognostic markers for osteosarcoma by integrated analysis

Genetics of Osteosarcomas

Aberrant N-Glycosylation Regulates Invasion of Mg-63 Cells Through Extracellular Matrix Remodeling

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