Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Copy number alteration profiling of myxofibrosarcoma and undifferentiated pleomorphic sarcoma

ABSTRACT: Copy number alteration profiling of myxofibrosarcoma and undifferentiated pleomorphic sarcoma

PROVIDER: PRJNA597481 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Copy Number Alteration Profiling of Myxofibrosarcoma and Undifferentiated Pleomorphic Sarcoma

Project description:Copy Number Alteration Profiling of Myxofibrosarcoma and Undifferentiated Pleomorphic Sarcoma

| PRJNA608554 | ENA

Copy Number Alteration Profiling of Myxofibrosarcoma and Undifferentiated Pleomorphic Sarcoma

Project description:Copy Number Alteration Profiling of Myxofibrosarcoma and Undifferentiated Pleomorphic Sarcoma

| PRJNA608556 | ENA

Copy number alteration profiling of myxofibrosarcoma and undifferentiated pleomorphic sarcoma

Project description:We used array-based comparative genomic hybridization to identify copy number alterations in the TP53 and RB1 tumor suppressor genes in 64 myxofibrosarcoma and 30 undifferentiated pleomorphic sarcoma primary untreated tumor samples, and found that 68% of tumor samples had shallow or deep deletions in one or both genes.

2021-01-01 | GSE142573 | GEO

Segment files from SNP array analysis of 145 myxofibrosarcoma and undifferentiated pleomorphic sarcoma

Project description:Genomic profiling of myxofibrosarcoma and undifferentiated pleomorphic sarcomas was done to correlate genomic profiles and signatures with outcome and transcriptomic features.

2024-09-30 | E-MTAB-13948 | biostudies-arrayexpress

Undifferentiated Pleomorphic Sarcoma Model

Project description:Analysis of undifferentiated pleomorphic sarcoma/malignant fibrous histiocytoma-like tumors from LSL-KrasG12D, p53Fl/Fl mouse model of soft tissue sarcoma.

2009-11-21 | GSE16779 | GEO

Undifferentiated Pleomorphic Sarcoma Model Using Tumors from BrafCa

Project description:Analysis of undifferentiated pleomorphic sarcoma/malignant fibrous histiocytoma like tumors from BrafCa, p53Fl/Fl mouse model of soft tissue sarcoma

2014-12-01 | GSE20049 | GEO

Undifferentiated Pleomorphic Sarcoma Model

Project description:Analysis of undifferentiated pleomorphic sarcoma/malignant fibrous histiocytoma-like tumors from LSL-KrasG12D, p53Fl/Fl mouse model of soft tissue sarcoma. Murine soft tissue sarcomas (n = 17) were compared to normal muscle (n = 4). Tumors were isolated surgically from soft tissue sarcomas generated by conditional Kras and p53 alleles. Tumors were induced using an adenovirus expressing Cre recombinase. Normal muscle samples were isolated from mice of the same genotype without tumor induction.

2010-03-03 | E-GEOD-16779 | biostudies-arrayexpress

Profiling DNA copy number alterations of myxofibrosarcomas with NimbleGen array CGH chips

Project description:Characterized by a wide histological spectrum, myxofibrosarcoma ranges from deceptively bland-appearing lesions to frankly pleomorphic sarcomas, representing a suitable model to elucidate the molecular aberrations in multistep disease progression. To explore cancer-associated genes of myxofibrosarcoma, ultrahigh-resolution array comparative genomic hybridization (aCGH) was used to profile DNA copy number alterations in myxofibrosarcoma tumor samples and cell lines.

2012-02-02 | GSE35483 | GEO

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.

2010-10-08 | E-GEOD-13775 | biostudies-arrayexpress

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.

2024-11-10 | GSE281529 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data