High-resolution profiling of copy-number aberrations in osteosarcoma
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE12789 | GEO | 2016/01/01
SECONDARY ACCESSION(S): PRJNA114151
REPOSITORIES: GEO
Shared Molecules
Only show the datasets with similarity scores above: 0.5
Threshold
0.5
Similar Datasets
Project description:Osteosarcoma is a rare, highly malignant tumor of the bone that presents with a highly complex and abnormal karyotype. Only a few of the genes, which are targets of genetic alteration are known. An integrated genome-wide genomic and gene expression profiling analysis was performed on human osteosarcoma tissues and osteosarcoma cell lines in order to identify and map, in a high-resolution fashion, the most drastic chromosomal changes and point out genes which could contribute to tumorigenesis by having altered expression levels of critical oncogenes and tumor suppressors. Combined gene expression and aCGH analysis on the same samples enables direct comparison between DNA and mRNA level and offers a general strategy to identify and prioritize potential targets while the parallel analysis on cell lines offers a reliable models for further functional studies.
2016-01-01 | GSE12512 | GEO
Project description:Osteosarcoma is the most common primary malignant tumour of bone occurring in children and young adolescents. Osteosarcoma is characterized by considerable phenotypic and genomic heterogeneity, and few recurrent targetable genetic changes have been reported. Osteosarcoma exhibits a complex karyotype with high genomic and chromosomal instability; and harbours multiple rearrangements across the genome, kataegis and chromothripsis as well as epigenetic changes. Here we have performed DNA methylation profiling on 10 osteosarcoma patient samples and four bones using the Infinium HumanMethylation450 BeadChip from Illumina, covering 485,000 CpG sites across the genome.
2022-01-31 | GSE161407 | GEO
Project description:In order to identify the targets of miR-193a-5p in osteosarcoma U2OS cell line, we used a lentivirus-mediated expression system to overexpressing miR-193a precusor, miR-193a-5p target sequence and non-target sequence, respectively, in osteosarcoma cell line U2OS. A tandem mass tag (TMT)-based quantitative proteomic strategy was employed to identify the global profile of miR-193a-5p-regulated proteins. order to identify the targets of miR-193a-5p, we used a lentivirus-mediated expression system to overexpressing miR-193a precusor, miR-193a-5p target sequence and non-target sequence, respectively, in osteosarcoma cell line U2OS. A tandem mass tag (TMT)-based quantitative proteomic strategy was employed to identify the global profile of miR-193a-5p-regulated proteins.
2021-09-08 | PXD013987 | Pride
Project description:Pulmonary metastasis is the main cause of medical failure and death of osteosarcoma patients. Despite intensive search for new therapeutic strategies, survival has not improved during the last two decades. Therefore, it’s very urgent to understand the underlying mechanisms of tumor progression to identify targets of novel therapies for osteosarcoma. We used microarrays to identify the metastasis-driving gene during osteosarcoma metastasis Microarrays are performed in ZOS and ZOSM-two syngenic primary human osteosarcoma cell lines with low and high metastatic potential which are established in our lab
2015-08-25 | E-GEOD-55957 | biostudies-arrayexpress
Project description:Background: Osteosarcomas are the most common primary malignant tumors of bone and show multiple and complex genomic aberrations. miRNAs are non-coding RNAs capable of regulating gene expression at the post transcriptional level, and miRNAs and their target genes may represent novel therapeutic targets or biomarkers for osteosarcoma. In order to investigate the involvement of miRNAs in osteosarcoma development, global microarray analyses of a panel of 19 human osteosarcoma cell lines was performed. Principal findings: We identified 177 miRNAs that were differentially expressed in osteosarcoma cell lines relative to normal bone. Among these, miR-126/miR-126*, miR-142-3p, miR-150, miR-223, miR-486-5p and members of the miR-1/miR-133a, miR-144/miR-451, miR-195/miR-497, and miR-206/miR-133b clusters were found to be downregulated in osteosarcoma cell lines. All miRNAs in the paralogous clusters miR-17-92, miR-106b-25 and miR-106a-92 were overexpressed. Furthermore, the upregulated miRNAs included miR-9/miR-9*, miR-21*, miR-31/miR-31*, miR-196a/miR-196b, miR-374a and members of the miR-29, miR-130/301 families. The most interesting inversely correlated miRNA/mRNA pairs in osteosarcoma cell lines included miR-9/TGFBR2 and miR-29/the p85α regulatory subunit of PI3K. PTEN mRNA correlated inversely with miR-92a and members of the miR-17 and miR-130/301 families. Expression profiles of selected miRNAs were confirmed in clinical samples. A set of miRNAs, miR-1, miR-18a, miR-18b, miR-19b, miR-31, miR-126, miR-142-3p, miR-133b, miR-144, miR-195, miR-223, miR-451 and miR-497 was identified with an intermediate expression level in osteosarcoma clinical samples compared to osteoblasts and bone, which may reflect the differentiation level of osteosarcoma relative to the undifferentiated osteoblast and fully differentiated normal bone. Significance: This study provides an integrated analysis of miRNA and mRNA in osteosarcoma, and gives new insight into the complex genetic mechanisms of osteosarcoma development and progression.
2012-10-16 | GSE28424 | GEO
Project description:Background: Osteosarcomas are the most common primary malignant tumors of bone and show multiple and complex genomic aberrations. miRNAs are non-coding RNAs capable of regulating gene expression at the post transcriptional level, and miRNAs and their target genes may represent novel therapeutic targets or biomarkers for osteosarcoma. In order to investigate the involvement of miRNAs in osteosarcoma development, global microarray analyses of a panel of 19 human osteosarcoma cell lines was performed. Principal findings: We identified 177 miRNAs that were differentially expressed in osteosarcoma cell lines relative to normal bone. Among these, miR-126/miR-126*, miR-142-3p, miR-150, miR-223, miR-486-5p and members of the miR-1/miR-133a, miR-144/miR-451, miR-195/miR-497, and miR-206/miR-133b clusters were found to be downregulated in osteosarcoma cell lines. All miRNAs in the paralogous clusters miR-17-92, miR-106b-25 and miR-106a-92 were overexpressed. Furthermore, the upregulated miRNAs included miR-9/miR-9*, miR-21*, miR-31/miR-31*, miR-196a/miR-196b, miR-374a and members of the miR-29, miR-130/301 families. The most interesting inversely correlated miRNA/mRNA pairs in osteosarcoma cell lines included miR-9/TGFBR2 and miR-29/the p85α regulatory subunit of PI3K. PTEN mRNA correlated inversely with miR-92a and members of the miR-17 and miR-130/301 families. Expression profiles of selected miRNAs were confirmed in clinical samples. A set of miRNAs, miR-1, miR-18a, miR-18b, miR-19b, miR-31, miR-126, miR-142-3p, miR-133b, miR-144, miR-195, miR-223, miR-451 and miR-497 was identified with an intermediate expression level in osteosarcoma clinical samples compared to osteoblasts and bone, which may reflect the differentiation level of osteosarcoma relative to the undifferentiated osteoblast and fully differentiated normal bone. Significance: This study provides an integrated analysis of miRNA and mRNA in osteosarcoma, and gives new insight into the complex genetic mechanisms of osteosarcoma development and progression.
2012-10-16 | GSE28423 | GEO
Project description:Osteosarcoma (OS) is a very aggressive bone tumor characterized by highly abnormal complex karyotypes.This a-CGH is a part of an expriment whose aim was to identify, genomic imbalance, DNA methylation and gene expression profiles in a panel osteosarcoma tumors. Keywords: comparative genomic hybridization
2009-09-08 | GSE12830 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE16087: Gene expression profiles of canine osteosarcoma GSE16088: Gene expression profiles of human osteosarcoma GSE16091: Gene expression profiles of human osteosarcoma, set2 Pulmonary metastasis continues to be the most common cause of death in osteosarcoma. Indeed, the 5-year survival for newly diagnosed osteosarcoma patients has not significantly changed in over 20 years. Further understanding of the mechanisms of metastasis and resistance for this aggressive pediatric cancer is necessary. Pet dogs naturally develop osteosarcoma providing a novel opportunity to model metastasis development and progression. Given the accelerated biology of canine osteosarcoma, we hypothesized that a direct comparison of canine and pediatric osteosarcoma expression profiles may help identify novel metastasis-associated tumor targets that have been missed through the study of the human cancer alone. Collectively, these data support the strong similarities between human and canine osteosarcoma and underline the opportunities provided by a comparative oncology approach as a means to improve our understanding of cancer biology and therapy. Two datasets consisting of canine osteosarcoma tumors, canine osteosarcoma cell lines, and three normal tissues and an analogous human dataset were used to define the similarity between human and canine osteosarcoma. A third dataset, human osteosarcoma with outcome data, was then used to suggest that some of the differences between the canine and human osteosarcoma were, perhaps, related to survival.
2009-11-03 | E-GEOD-16102 | biostudies-arrayexpress
Project description:Osteosarcoma is the most common primary bone sarcoma. About 50% of patients develop metastatic disease and their 5-year survival lingers at around 20-30%. T cell checkpoint blockade immunotherapies have revolutionized cancer treatment in the last decade, but their impact remains limited in osteosarcoma. In order to reveal potentially novel immunotherapeutic strategies for advanced osteosarcoma, we conducted an immunogenomic characterization of a unique sample set comprising multiple osteosarcoma samples from seven patients, collected throughout the progression of the disease. We performed RNA-sequencing and imaging mass cytometry analysis on those samples to reveal the immunological landscape during osteosarcoma progression. Transcriptional and phenotypical hallmarks of cytotoxic T cell-driven anti-cancer immunity were enriched in metastatic lesions as compared to primary tumors. In parallel, we found a pronounced increase in the expression of cancer testis antigens, particularly MAGEA-related antigens, in osteosarcoma metastases. Their overexpression in metastatic lesions was confirmed at protein level and positive expression of MAGEA3 in primary tumors showed a significant association with metastasis free survival. Importantly, we demonstrated the presentation of MAGE-derived peptides in three osteosarcoma cell lines. These findings indicate a concurrent augmentation of cytotoxic anti-tumor immune responses and expression of MAGEA antigens from primary to metastatic osteosarcoma. This observation warrants the exploration of MAGEA antigens as potential targets for immunotherapy in the treatment of advanced osteosarcoma.
2024-02-07 | GSE237033 | GEO