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Expression data from 50 mixoid liposarcomas

ABSTRACT: Based on the transcriptome analysis of 555 sarcomas, we identified a group of tightly clustered leiomyosarcomas (LMS) due to their gene expression homogeneity. We named them “hLMS” and the other LMS “oLMS”. We derived a transcriptional signature able to identify each group and used it to classify patients from two independent cohorts. In all cohorts, hLMS were preferentially carried by women, located in the internal trunk, highly differentiated, and similarly altered at the genomic level. Based on integrative bioinformatic analysis, we show that hLMS originate from vascular smooth muscle cells presenting both contractile and synthetic characteristics, while oLMS could derive from fibroblasts. We found strong MYOCD expression to be an hLMS-specific driver and show that the MYOCD/SRF axis is essential only for hLMS survival. Identification of hLMS could become standard clinical practice, leading to the development of specific effective treatments with MYOCD/SRF inhibitors.

ORGANISM(S): Homo sapiens

PROVIDER: GSE159848 | GEO | 2022/12/31

REPOSITORIES: GEO

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miRNA expression data from 39 leiomyosarcomas [miRNA-seq]

Project description:Based on the transcriptome analysis of 555 sarcomas, we identified a group of tightly clustered leiomyosarcomas (LMS) due to their gene expression homogeneity. We named them “hLMS” and the other LMS “oLMS”. We derived a transcriptional signature able to identify each group and used it to classify patients from two independent cohorts. In all cohorts, hLMS were preferentially carried by women, located in the internal trunk, highly differentiated, and similarly altered at the genomic level. Particularly, miRNA from 39 leiomyosarcomas (LMS) classified as homogeneous and other LMS according to a mRNA transcriptional signature were sequenced, mapped to mature miRNA sequences and analysed in order to evaluate miRNA impact on LMS biology and oncology. Based on integrative bioinformatic analysis, we show that hLMS originate from vascular smooth muscle cells presenting both contractile and synthetic characteristics, while oLMS could derive from fibroblasts. We found strong MYOCD expression to be an hLMS-specific driver and show that the MYOCD/SRF axis is essential only for hLMS survival. Identification of hLMS could become standard clinical practice, leading to the development of specific effective treatments with MYOCD/SRF inhibitors.

2022-12-31 | GSE159849 | GEO

Expression data from 87 complex sarcomas

Project description:Based on the transcriptome analysis of 555 sarcomas, we identified a group of tightly clustered leiomyosarcomas (LMS) due to their gene expression homogeneity. We named them “hLMS” and the other LMS “oLMS”. We derived a transcriptional signature able to identify each group and used it to classify patients from two independent cohorts. In all cohorts, hLMS were preferentially carried by women, located in the internal trunk, highly differentiated, and similarly altered at the genomic level. Based on integrative bioinformatic analysis, we show that hLMS originate from vascular smooth muscle cells presenting both contractile and synthetic characteristics, while oLMS could derive from fibroblasts. We found strong MYOCD expression to be an hLMS-specific driver and show that the MYOCD/SRF axis is essential only for hLMS survival. Identification of hLMS could become standard clinical practice, leading to the development of specific effective treatments with MYOCD/SRF inhibitors. These 87 samples from leiomyosarcoma primary tumors were analysed on Affymetrix and Agilent platforms and both datasets were used to define genes with consistent expression between the platforms. These genes were then selected in other datasets from the two plaforms before combination and normalization.

2022-12-31 | GSE159847 | GEO

Gene expression profiling in leiomyosarcomas and undifferentiated pleomorphic sarcomas: SRC as a new diagnostic marker

2013-09-15 | GSE49941 | GEO

Gene expression profiling in leiomyosarcomas and undifferentiated pleomorphic sarcomas: SRC as a new diagnostic marker

Project description:Transcriptional profiling of leiomyosarcomas (LMS) and undifferentiated pleomorphic sarcomas (UPS) aiming to identify molecular biomarkers. Data were validated using RT-qPCR. To assess the relevance of the gene signature, a meta-analysis was performed using five published studies. SRC protein immunolabeling was performed for 38 UPS and 52 LMS. Experiment condition, 22 LMS vs. 22 UPS. Total RNA extracted from tumors was labeled with Cy5, while a custom reference sample (combination of equal amounts of total RNA obtained from 15 different human cell lines) was labeled with Cy3. Samples Cy3 and Cy5 were mixed and hybridized on a two-Color Human GE 4X44K Microarray platform (Agilent Technologies, Palo Alto, CA, USA).

2013-09-15 | E-GEOD-49941 | biostudies-arrayexpress

LncRNA and mRNA Expression in aortic smooth muscle cells with Srf knockout or Myocd over-expression

Project description:LncRNA and mRNA expression profiles in aortic smooth muscle cells with Srf knockout or Myocd over-expression were analyzed by Arraystar Mouse LncRNA Microarray V3.0.

2017-03-08 | GSE85930 | GEO

Multiple chromoanasynthesis in a rare case of sporadic renal leiomyosarcoma: case report

Project description:Renal leiomyosarcomas (LMS) are extremely rare neoplasms with aggressive behaviour and poor survival prognosis. The most frequent somatic events in leiomyosarcomas are mutations in TP53, RB1, ATRX and PTEN genes, chromosomal instability and chromoanagenesis. By using chromosomal microarray analysis we identified monosomy of chromosomes 3 and 11, gain of Xp (ATRX) arm and three chromoanasynthesis regions (6q21-q27, 7p22.3-p12.1 and 12q13.11-q21.2), with MDM2 and CDK4 oncogenes copy number gains, whereas no CNVs or tumor specific SNVs in TP53, RB1 and PTEN genes were observed.

2020-06-04 | GSE151766 | GEO

Fatty Acid Synthase Reprograms the Epigenome in Uterine Leiomyosarcomas

Project description:SK-UT-1 uterine leiomyosarcomas (Ut-LMS) cells were transduced with a fatty acid synthase (FASN)-containing retroviral vector to recapitulate the “lipogenic phenotype of cancer.” Consistent with this model, forced expression of FASN enhanced SK-UT-1 proliferation, migration, and cellular motion. Further investigation showed FASN promotes trimethylation of H3K9 (H3K9me3) and acetylation of H3K27 (H3K27ac) in SK-UT-1 cells. In contrast, siRNA targeting of FASN in high endogenous FASN expressing SK-LMS-1 Ut-LMS cells inhibits trimethylation of H3K9 and acetylation of H3K27. Palmitate, the predominant fatty acid product of FASN, increased H3K9me3, H3K27ac and H3K27me3 detection in SK-UT-1 cells. FASN promoted histone 3 methylation and acetylation through alteration of histone 3-modifying enzymatic activities (HDAC, HDM, HMT and HAT).ChIP-seq in SK-UT-1-FASN cells with anti-H3K9me3 antibody identified regions of enriched binding compared to vector-only cells. One differentially-enriched gene, CRISP1, was investigated further by ChIP-PCR. The transcriptionally repressive function of H3K9me3 was confirmed in CRISP1. Our results provide mechanistic insight into the pathobiology of the “lipogenic phenotype of cancer.” Here, FASN reprograms the Ut-LMS epigenome through chromatin remodeling to promote the “malignant phenotype.”

2017-06-14 | GSE98557 | 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

ATRX alteration contributes to tumor growth and immune escape in pleomorphic sarcomas

Project description:Whole genome and transcriptome sequencing of a cohort of 67 leiomyosarcomas revealed ATRX to be one of the most frequently mutated genes in LMS after TP53 and RB1. While its function is well described in the ALT mechanism, we wondered whether its alteration could have complementary effects on sarcoma oncogenesis. ATRX alteration is associated with the down-expression of genes linked to differentiation in LMS, and to immunity in an additional cohort of 60 poorly differentiated sarcomas. In vitro and in vivo models showed that ATRX loss increases tumor growth rate and immune escape by decreasing the immunity load of active mast cells in sarcoma tumors. These data indicate that an alternative to unsuccessful targeting of the adaptive immune system in sarcoma could be to target the innate system. This might lead to a better outcome for sarcoma patients in terms of ATRX status.

2021-05-25 | GSE157953 | GEO

SAR-096: Phase II clinical trial of ribociclib in combination with everolimus in advanced dedifferentiated liposarcoma (DDL), and leiomyosarcoma (LMS)

Project description:Purpose: DDL and LMS are two common subtypes of soft tissue sarcoma, a rare group of diseases for which new treatments are needed. Chemotherapy remains the standard option for advanced disease. Targeting CDK4/6 in DDL and mTOR in LMS is of biologic interest. When combined, the CDK4 inhibitor ribociclib and the mTOR inhibitor everolimus, have shown synergistic growth inhibition in multiple tumor models, suggesting that this combination could be beneficial in patients.Methods: This was a single arm, open label, multi-center phase II study of the combination of ribociclib and everolimus. Patients were enrolled into one of two cohorts: DDL or LMS with intact Rb. The primary endpoint was progression free rate (PFR) at 16 weeks. Secondary endpoints included progression free (PFS) and overall survival, safety and biomarker analyses. Results: In the DDL cohort, 33.3% (95% CI 15.6%-55.3%) of patients were progression free at 16 weeks. Median PFS in this cohort was 15.4 weeks (95% CI, 8-36 weeks) with 2 partial responses. In the LMS cohort the PFR at 16 weeks was 29.2% (95% CI 12.6%-51.1%). Median PFS in this cohort was 15.7 weeks (95% CI 7.7-NA). Most common toxicities included fatigue (66.7%), anorexia (43.8%) and hyperglycemia (43.8%). Concordance between Rb testing methodologies was poor.Conclusions: The combination of ribociclib and everolimus demonstrates activity in DDL with prolonged stable disease (≥16 weeks) meeting the primary endpoint. Notably partial responses were observed. The primary endpoint was not reached in the LMS cohort. The combination was well tolerated with expected side effects.

2023-11-09 | GSE247026 | GEO

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