Transcriptomic profiling of primary mediastinal liposarcoma
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ABSTRACT:
PROVIDER: PRJNA1292143 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Primary mediastinal liposarcoma (MLPS) is an extremely rare tumor with unclear molecular biology. We conducted RNA sequencing in five cases of MLPS and compared gene expression between dedifferentiated liposarcoma (DDLPS) and well-differentiated liposarcoma (WDLPS). Enrichment analyses and immune cell deconvolution revealed that DDLPS showed features of dedifferentiation, cell cycle activation, Wnt signaling, and immune-cold status. This dataset provides the first transcriptomic landscape of primary MLPS and offers insight into potential therapeutic targets.
2025-07-16 | GSE302769 | GEO
Project description:Doxorubicin is considered one of the most potent established chemotherapeutics in the treatment of liposarcoma; however, the response rates usually below 30%, are still disappointing. This study was performed to identify gene expression changes in liposarcoma after doxorubicin treatment. Cells of 19 primary human liposarcoma were harvested intraoperatively and brought into cell culture. Cells were incubated with doxorubicin for 24 h, RNA was isolated and differential gene expression was analysed by the microarray technique. We used microarrays to detail the global gene expression changes following doxorubicin treatment of primary liposarcoma cell cultures Experiment Overall Design: We compared untreated primary cell cultures obtained from liposarcoma treated with doxorubicin treated cultures to determine global gene expression changes by microarray analysis
2008-10-26 | E-GEOD-12972 | biostudies-arrayexpress
Project description:Doxorubicin is considered one of the most potent established chemotherapeutics in the treatment of liposarcoma; however, the response rates usually below 30%, are still disappointing. This study was performed to identify gene expression changes in liposarcoma after doxorubicin treatment. Cells of 19 primary human liposarcoma were harvested intraoperatively and brought into cell culture. Cells were incubated with doxorubicin for 24 h, RNA was isolated and differential gene expression was analysed by the microarray technique. We used microarrays to detail the global gene expression changes following doxorubicin treatment of primary liposarcoma cell cultures Keywords: response to chemotherapeutic agent
2008-10-06 | GSE12972 | GEO
Project description:In order to identify new key molecules in the pathogenesis of myxoid liposarcoma, we performed comparative gene expression profiling in myxoid liposarcoma and fat tissue samples. Whole genome microarray analysis was performed on eight primary myxoid liposarcoma samples and an RNA pool of eight healthy fat tissue samples.
2014-10-28 | E-GEOD-62747 | biostudies-arrayexpress
Project description:Liposarcoma is the most common soft tissue sarcoma, accounting for about 20% of cases. Liposarcoma is classified into 5 histologic subtypes that fall into 3 biological groups characterized by specific genetic alterations. To identify genes that contribute to liposarcomagenesis and to better predict outcome for patients with the disease, we undertook expression profiling of liposarcoma. U133A expression profiling was performed on 140 primary liposarcoma samples, which were randomly split into training set (n=95) and test set (n=45). A multi-gene predictor for distant recurrence-free survival (DRFS) was developed using the supervised principal component method. Expression levels of the 588 genes in the predictor were used to calculate a risk score for each patient. In validation of the predictor in the test set, patients with low risk score had a 3-year DRFS of 83% vs. 45% for high risk score patients (P=0.001). The hazard ratio for high vs. low score, adjusted for histologic subtype, was 4.42 (95% confidence interval 1.26-15.55; P=0.021). The concordance probability for risk score was 0.732. Genes related to adipogenesis, DNA replication, mitosis, and spindle assembly checkpoint control were all highly represented in the multi-gene predictor. Three genes from the predictor, TOP2A, PTK7, and CHEK1, were found to be overexpressed in liposarcoma samples of all five subtypes and in liposarcoma cell lines. Knockdown of these genes in liposarcoma cell lines reduced proliferation and invasiveness and increased apoptosis. Thus, genes identified from this predictor appear to have roles in liposarcomagenesis and have promise as therapeutic targets. In addition, the multi-gene predictor will improve risk stratification for individual patients with liposarcoma.
2011-09-02 | GSE30929 | GEO
Project description:Liposarcoma is the most common soft tissue sarcoma, accounting for about 20% of cases. Liposarcoma is classified into 5 histologic subtypes that fall into 3 biological groups characterized by specific genetic alterations. To identify genes that contribute to liposarcomagenesis and to better predict outcome for patients with the disease, we undertook expression profiling of liposarcoma. U133A expression profiling was performed on 140 primary liposarcoma samples, which were randomly split into training set (n=95) and test set (n=45). A multi-gene predictor for distant recurrence-free survival (DRFS) was developed using the supervised principal component method. Expression levels of the 588 genes in the predictor were used to calculate a risk score for each patient. In validation of the predictor in the test set, patients with low risk score had a 3-year DRFS of 83% vs. 45% for high risk score patients (P=0.001). The hazard ratio for high vs. low score, adjusted for histologic subtype, was 4.42 (95% confidence interval 1.26-15.55; P=0.021). The concordance probability for risk score was 0.732. Genes related to adipogenesis, DNA replication, mitosis, and spindle assembly checkpoint control were all highly represented in the multi-gene predictor. Three genes from the predictor, TOP2A, PTK7, and CHEK1, were found to be overexpressed in liposarcoma samples of all five subtypes and in liposarcoma cell lines. Knockdown of these genes in liposarcoma cell lines reduced proliferation and invasiveness and increased apoptosis. Thus, genes identified from this predictor appear to have roles in liposarcomagenesis and have promise as therapeutic targets. In addition, the multi-gene predictor will improve risk stratification for individual patients with liposarcoma. 140 human liposarcoma specimens were profiled on Affymetrix U133A arrays per manufacturer's instructions.
2011-09-01 | E-GEOD-30929 | biostudies-arrayexpress
Project description:In order to identify new key molecules in the pathogenesis of myxoid liposarcoma, we performed comparative gene expression profiling in myxoid liposarcoma and fat tissue samples.
2014-10-28 | GSE62747 | GEO
Project description:We recently reported a truncating deletion in the NFKBIE gene, which encodes IκBε, a negative feedback regulator of NF-κB, in clinically aggressive chronic lymphocytic leukemia (CLL). Preliminary data indicate enrichment of NFKBIE aberrations in other lymphoid malignancies, hence we screened a large patient cohort (n=1460) diagnosed with different lymphoid neoplasms. We observed a a remarkably high frequency of NFKBIE aberrations (46/203 cases, 22,7%) in primary mediastinal B-cell lymphoma (PMBL). The deletion was associated with a particular aggressive clinical course and reduced survival in multivariate analysis. With gene expression profiling (GEP) via the NanoString nCounter hybridization system and the NanoString GX Human PanCancer Pathway Panel including 30 additional custom genes, the aim of this analysis was to study the differential activation of various oncogenic pathways including NFKB-signaling in NFKBIE mutated vs. non-mutated PMBL.
2016-10-09 | GSE86815 | GEO
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
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