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Genomic profiling of matched well differentitated and de-differentiated liposarcoma

ABSTRACT: Whole exome and RNASeq profiling of patients with both well differentiated and de-differentiated liposarcoma

PROVIDER: PRJEB23115 | ENA |

REPOSITORIES: ENA

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Genomic profiling of matched well differentiated and de-differentiated liposarcoma.

Project description:Well-differentiated (WD) and de-differentiated (DD) liposarcoma, subtypes of adipocytic sarcomas, are pathologically and clinically dissimilar, but are poorly distinguishable at the molecular level. These tumors harbor neochromosomes formed from amplifications and rearrangements of chr12q. Nineteen selected patients with matched WD and DD tumors underwent extensive exomic and transcriptomic profiling to distinguish genomic features between the two subtypes. Shared point mutations suggest a common tumor origin and de-differentiated tumors have higher burdens of deletions.

| EGAS00001002807 | EGA

Genomic characterization of well differentiated/dedifferentiated retroperitoneal liposarcoma

Project description:Genomic characterization of well differentiated/dedifferentiated retroperitoneal liposarcoma

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RNA-seq of four tissue samples of dedifferentiated liposarcoma and corresponding matched well-differentiated liposarcoma

Project description:Dedifferentiated liposarcoma (DDL) has the same cellular and molecular genetics features as well-differentiated liposarcoma (WDL), and there is still no ideal biomarker for the prediction of DDL patient prognosis in clinical practice. In order to explore the genes that cause WDL to obtain local invasion and distant metastasis capacities and transform it into DDL, The four DDL tissue specimens in this study were matched with four WDL tissue specimens according to baseline characteristics, such as gender, age, and recurrence, before high-throughput sequencing was conducted. Then total RNAs were subjected to RNA isolation and RNA-seq analyses were generated by deep sequencing using Illumina Hiseq.

2021-09-17 | GSE184199 | GEO

RNA-seq of four tissue samples of dedifferentiated liposarcoma and corresponding matched well-differentiated liposarcoma

Project description:RNA-seq of four tissue samples of dedifferentiated liposarcoma and corresponding matched well-differentiated liposarcoma

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Whole genome sequencing of human well differentiated retroperitoneal liposarcoma samples

Project description:Whole genome sequencing of human well differentiated retroperitoneal liposarcoma samples

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Genomic characterization of well differentiated/dedifferentiated retroperitoneal liposarcoma

Project description:An integrated profiling approach was performed to define molecular alterations associated to the aggressive behavior of retroperitoneal dedifferentiated liposarcoma. In particular, matched well and dedifferentiated components as well as normal adipose tissues, obtained from the same tumor sites, were comparatively investigated to higlight differences in gene expression.

2021-03-10 | GSE159659 | GEO

Epigenetic profiling of well differentiated and dedifferentiated liposarcoma identifies H3K9me3 and Kruppel-like factor 6 (KLF6) as determinants of aggressiveness in sarcoma (expression)

Project description:Little is known about the epigenomics of liposarcoma (LPS). Here, we profiled the global expression of 9 epigenetic marks in well differentiated (WD) and dedifferentiated (DD) LPS from 151 patients and found increased H3K9me3 among DDLPS tumors. We performed ChIP-seq and gene expression profiling of patient derived cell lines to discover functionally significant regions of differential H3K9me3 enrichment between WDLPS and DDLPS associated with concomitant gene expression changes. We performed genome-wide transcriptional profiling of dedifferentiated liposarcoma (DDLPS) and well differentiated liposarcoma (WDLPS) cell lines using the Affymetrix U133A GeneChip array

2015-08-04 | E-GEOD-57750 | biostudies-arrayexpress

MicroRNA expression profiles do not distinguish between primary and recurrent well-differentiated liposarcoma

Project description:MicroRNA expression profiles do not distinguish between primary and recurrent well-differentiated liposarcoma

| PRJNA566391 | ENA

Epigenetic profiling of well differentiated and dedifferentiated liposarcoma identifies H3K9me3 and Kruppel-like factor 6 (KLF6) as determinants of aggressiveness in sarcoma (ChIP-seq)

Project description:Little is known about the epigenomics of liposarcoma (LPS). Here, we profiled the global expression of 9 epigenetic marks in well differentiated (WD) and dedifferentiated (DD) LPS from 151 patients and found increased H3K9me3 among DDLPS tumors. We performed ChIP-seq and gene expression profiling of patient derived cell lines to discover functionally significant regions of differential H3K9me3 enrichment between WDLPS and DDLPS associated with concomitant gene expression changes. We performed genome-wide transcriptional profiling of H3K9me3 in dedifferentiated liposarcoma DDLPS and well differentiated liposarcoma WDLPS cell lines.

2015-08-04 | E-GEOD-57749 | biostudies-arrayexpress

MicroRNA expression profiles do not distinguish between primary and recurrent well-differentiated liposarcoma

Project description:Well-differentiated liposarcoma (WDLPS) recurs in approximately one-third of the patients. The molecular relationship between primary tumor and recurrent tumors is barely studied, but is important to reveal potential drivers of recurrence. Here we investigated the biology of recurrent WDLPS using 27 paired primary and recurrent WDLPS samples. MicroRNA expression profiles were determined using TaqMan® Low Density Array (TLDA)-cards. In the supervised clustering analyses, no clear clustering separating the primary from the recurrent tumors, based on differentially expressed microRNAs was observed. The clustering was also not based on tumor localization, time to recurrence, age or status of the resection margins. Subgroup analysis for tumors localized in the extremity or retroperitoneum also did not yield a clear distinction between primary and recurrent WDLPS. In conclusion, microRNA expression profiles do not distinguish between primary and recurrent WDLPS and no putative common drivers for recurrence could be identified.

2019-09-20 | GSE137722 | GEO

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