Molecular Profiling Defines Three Subtypes of Synovial Sarcoma
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ABSTRACT:
PROVIDER: PRJNA1132152 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR29713500_1.fastq.gz | Fastqsanger.gz | |||
| SRR29713500_2.fastq.gz | Fastqsanger.gz | |||
| SRR29713501_1.fastq.gz | Fastqsanger.gz | |||
| SRR29713501_2.fastq.gz | Fastqsanger.gz | |||
| SRR29713502_1.fastq.gz | Fastqsanger.gz |
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Project description:Synovial Sarcomas (SS) are characterized by the presence of the SS18::SSX fusion gene, which protein product induce chromatin changes through remodeling of the BAF complex (BRG1/BRM-associated factor complex), which leads to widespread alterations in gene expression that drive tumor development and progression. However, there is no established molecular model which explain the variation in clinical behavior of SS. To elucidate the genomic events that drive phenotypic diversity in SS, we performed RNA and targeted DNA sequencing on 91 tumors from 55 patients. Our results were verified by proteomic analysis, public gene expression cohorts and single-cell RNA sequencing. Transcriptome profiling identified three distinct SS subtypes resembling the known histological subtypes: SS subtype I and was characterized by hyperproliferation, evasion of immune detection and a poor prognosis. SS subtype II and was dominated by a vascular-stromal component and had a significantly better outcome. SS Subtype III was characterized by biphasic differentiation, increased genomic complexity and immune suppression mediated by checkpoint inhibition, and poor prognosis despite good responses to neoadjuvant therapy. Chromosomal abnormalities were an independent significant risk factor for metastasis. KRT8 was identified as a key component for epithelial differentiation in biphasic tumors, potentially controlled by OVOL1 regulation. Our multi-omics analysis revealed that the biological and genetic variability between these subtypes, including key transcriptome patterns and secondary genomic events such as copy number alterations, were associated with long-term outcomes. Our findings explain the histological grounds for SS classification and indicate that a significantly larger proportion of patients have high risk tumors (corresponding to SS subtype I) than previously believed.
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Project description:MicroRNAs (miRNAs) are non-coding small RNAs that function as an endogenous regulator of gene expression. Their dysregulation has been implicated in the development of several cancers. However, the status of miRNA in soft tissue sarcomas has not yet been thoroughly investigated. This study examined the global miRNA expression in synovial sarcoma and compared the results to those in another translocation-associated sarcoma, the Ewing family of tumors, and in normal skeletal muscle. The 3D-Gene miRNA microarray platform (Toray, Kamakura, Japan) and unsupervised hierarchical clustering revealed a distinct expression pattern of miRNAs in synovial sarcoma from Ewing tumors and skeletal muscle. Thirty-five of the more than 700 miRNAs analyzed were differentially expressed in synovial sarcomas in comparison to other tissue types. There were 21 significantly up-regulated miRNAs, including some miRNAs, such as let-7e, miR-99b and miR-125a-3p, clustered within the same chromosomal loci. Quantitative reverse transcription-polymerase chain reaction also demonstrated that these miRNAs were over-expressed in synovial sarcomas. The down-regulation of let-7e and miR-99b by anti-miR miRNA inhibitors resulted in the suppression of the proliferation of synovial sarcoma cells, and modulated the expression of their putative targets, HMGA2 and SMARCA5, suggesting that these molecules have a potential oncogenic role. The unique miRNA expression pattern including the over-expressed miRNA clusters in synovial sarcoma warrants further investigation in order to develop a better understanding of the oncogenic mechanisms and future therapeutic strategies for synovial sarcoma. Ten synovial sarcomas, five Ewing tumors and five normal skeletal muscle specimens are analyzed.
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Project description:Poorly differentiated type synovial sarcoma (PDSS) is a variant of synovial sarcoma characterized by predominantly round or short-spindled cells. Although accumulating evidence from clinicopathological studies suggests a strong association between this variant of synovial sarcoma and poor prognosis, little has been reported on the molecular basis of PDSS. To gain insight into the mechanism(s) that underlie the emergence of PDSS, we analyzed the gene expression profiles of 34 synovial sarcoma clinical samples, including 5 cases of PDSS, using an oligonucleotide microarray. In an unsupervised analysis, the 34 samples fell into 3 groups that correlated highly with histological subtype, namely, monophasic, biphasic, and poorly differentiated types. PDSS was characterized by down-regulation of genes associated with neuronal and skeletal development and cell adhesion, and up-regulation of genes on a specific chromosomal locus, 8q21.11. This locus-specific transcriptional activation in PDSS was confirmed by reverse transcriptase (RT)-PCR analysis of 9 additional synovial sarcoma samples. Our results indicate that PDSS tumors constitute a distinct genetic group based on expression profiles. 34 SYT-SSX fusion transcript-positive SS samples, consisting of 21 MSS, 8 BSS and 5 PDSS cases, were analyzed using an oligonucleotide microarray using a GeneChip Human Genome U133 plus 2.0 array (Affymetrix).
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Project description:Transcriptome comparisons by RNAseq of genetically engineered mouse models of synovial sarcoma, expressing SS18-SSX1 or SS18-SSX2 and having homozygous conditional genetic silencing of Pten or wildtype Pten.
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Project description:Poorly differentiated type synovial sarcoma (PDSS) is a variant of synovial sarcoma characterized by predominantly round or short-spindled cells. Although accumulating evidence from clinicopathological studies suggests a strong association between this variant of synovial sarcoma and poor prognosis, little has been reported on the molecular basis of PDSS. To gain insight into the mechanism(s) that underlie the emergence of PDSS, we analyzed the gene expression profiles of 34 synovial sarcoma clinical samples, including 5 cases of PDSS, using an oligonucleotide microarray. In an unsupervised analysis, the 34 samples fell into 3 groups that correlated highly with histological subtype, namely, monophasic, biphasic, and poorly differentiated types. PDSS was characterized by down-regulation of genes associated with neuronal and skeletal development and cell adhesion, and up-regulation of genes on a specific chromosomal locus, 8q21.11. This locus-specific transcriptional activation in PDSS was confirmed by reverse transcriptase (RT)-PCR analysis of 9 additional synovial sarcoma samples. Our results indicate that PDSS tumors constitute a distinct genetic group based on expression profiles.
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Project description:we establish a 272 Chinese STS patients cohort containing 12 sarcoma subtypes, well-differentiated liposarcoma (WDLPS), myxoid liposarcoma (MLPS), dedifferentiated liposarcoma (DDLPS), angiosarcoma (AS), undifferentiated sarcoma (UPS), myxofibrosarcoma (MFS), other fibroblastic/myofibroblastic tumors (otherFS), leiomyosarcoma (LMS), rhabdomyosarcoma (RMS), malignant peripheral nerve sheath tumor (MPNST), synovial sarcoma (SS), and epithelioid sarcoma (ES).
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