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RNA sequencing data from STS-109 human undifferentiated pleomorphic sarcoma (UPS) cells deficient in DNMT3A or DNMT3B expression

ABSTRACT: RNA sequencing data from STS-109 human undifferentiated pleomorphic sarcoma (UPS) cells deficient in DNMT3A or DNMT3B expression

PROVIDER: PRJNA822643 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR18583900.fastq.gz	Fastqsanger.gz
	SRR18583901.fastq.gz	Fastqsanger.gz
	SRR18583902.fastq.gz	Fastqsanger.gz
	SRR18583903.fastq.gz	Fastqsanger.gz
	SRR18583904.fastq.gz	Fastqsanger.gz

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Shared prognostic markers in undifferentiated pleomorphic sarcoma and leiomyosarcoma of the extremities

Project description:Soft tissue sarcoma diagnostics and prognostics are challenging, particularly in highly malignant and pleomorphic subtypes such as undifferentiated pleomorphic sarcoma (UPS) and leiomyosarcoma (LMS). We applied 32K BAC-arrays and gene expression profiling to 18 extremity soft tissue LMS and 31 extremity soft tissue UPS with the aim to identify molecular subtype signatures and genomic prognostic markers. Both the gains/losses and gene expression signatures revealed striking similarities between UPS and LMS, which were indistinguishable using unsupervised hierarchical cluster analysis and significance analysis for microarrays. Gene expression analysis revealed just 9 genes, among them Tropomyosin beta, that were differentially expressed. Loss of 4q31 (encompassing the SMAD1 locus), loss of 18q22 and tumor necrosis were identified as independent predictors of metastasis in multivariate stepwise Cox regression analysis. Combined analysis applying loss of 4q31 and 18q22 and presence of necrosis improved the area under receiver operating characteristic curve for metastasis prediction from 0.64 to 0.86. The extensive genetic similarities between extremity soft tissue UPS and LMS suggest a shared lineage of these STS subtypes and the new and independent genetic prognosticators identified hold promise for refined prognostic determination in high-grade, genetically complex STS. Genomic DNA was extracted from a total of 49 samples, 31 Undifferentiated pleomorphic Sarcomas and 18 Leiomyosarcomas. The DNA was labeled using Bioprime array CGH labeling kit (Invitrogen). Promega pooled male DNA was used as reference. Labeled DNA was hybridized onto BAC arrays containing ~32 000 BAC clones printed in singlets. BAC arrays were produced at the SWEGENE DNA Microarray Facility at Lund University.

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RNA sequencing data from STS-109 human undifferentiated pleomorphic sarcoma (UPS) cells deficient in DNMT3A or DNMT3B expression

Project description:DNA methylation is frequently disrupted in sarcoma but little is known about the specific roles of DNA methyltransferases (DNMTs) in this process. Using an shRNA lentivirus-mediated genetic depletion approach, we found that reduction of DNMT3A or DNMT3B expression potently reduced UPS cell proliferation. Therefore, we performed RNA sequencing to identify global gene expression changes in DNMT3A- or DNMT3B-depleted cells.

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Single-cell and spatial transcriptomics identify COL6A3 as a prognostic biomarker in undifferentiated pleomorphic sarcoma

Project description:Undifferentiated pleomorphic sarcoma (UPS) and related tumors are the most common type of soft tissue sarcoma. However, this spectrum of tumors has different etiologies with varying rates of metastasis and survival. Two dermal-based neoplasms in this class of pleomorphic sarcomas, atypical fibroxanthoma (AFX) and pleomorphic dermal sarcoma (PDS), are challenging to differentiate at initial biopsy but vary significantly in prognosis. We performed single-cell transcriptomics on five AFX and PDS biopsy specimens as well as both single-cell and spatial transcriptomics on one PDS excision specimen to better characterize these tumors. The top differential genes between AFX and PDS were predictive of overall survival in 17 other cancers included in the Human Protein Atlas. Of these genes, COL6A3 and BGN predicted overall survival and metastasis-free survival in independent cohorts of 46 and 38 UPS tumors, respectively. COL6A3 was most predictive of overall survival in UPS patients and outperformed an established sarcoma prognostic gene panel at predicting metastasis in UPS.

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