Oncogenic gene expression programs in leiomyosarcoma and characterization of conventional, inflammatory and uterogenic subtypes
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA610251 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11235900.fastq.gz | Fastqsanger.gz | |||
| SRR11235901.fastq.gz | Fastqsanger.gz | |||
| SRR11235902.fastq.gz | Fastqsanger.gz | |||
| SRR11235903.fastq.gz | Fastqsanger.gz | |||
| SRR11235904.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 20 |
Similar Datasets
Project description:Leiomyosarcoma (LMS) is a mesenchymal neoplasm with complex copy number alterations and characteristic loss of tumor suppressor genes without known recurrent activating mutations. Clinical management of advanced LMS relies on chemotherapy and complementary palliative approaches, and research efforts to date have had limited success identifying clinically actionable biomarkers or targeted therapeutic vulnerabilities. To explore the biological underpinning of LMS, we evaluated gene expression patterns of this disease in comparison to diverse sarcomas, non-mesenchymal neoplasms and normal myogenic tissues. We identified a recurrent gene expression program in LMS, with evidence of oncogenic evolution of an underlying smooth muscle lineage-derived program characterized by activation of E2F1 and downstream effectors. Recurrently amplified or highly expressed genes in LMS were identified that may represent therapeutic vulnerabilities, including targeting of IGF1R and retinoid signaling pathways. Though the majority of expressed transcripts were conserved across LMS samples, three separate subtypes were identified that were enriched for muscle-associated transcripts (conventional-LMS), immune markers (inflammatory-LMS) or a uterine-like gene expression program (uterogenic-LMS). Each of these subtypes express a unique subset of genes that may be useful in the managemeny of LMS: IGF1R was enriched in conventional LMS with prognostic implications, worse disease-specific survival was observed in inflammatory LMS, and prolactin was elaborated by uterogenic LMS and may represent a disease biomarker. These results extend our understanding of LMS biology and identify several strategies and challenges for further translational investigation.
2020-06-09 | GSE146360 | GEO
Project description:Leiomyosarcoma (LMS) is a mesenchymal neoplasm with complex copy-number alterations and characteristic loss of tumor suppressor genes without known recurrent activating mutations. Clinical management of advanced LMS relies on chemotherapy and complementary palliative approaches, and research efforts to date have had limited success identifying clinically actionable biomarkers or targeted therapeutic vulnerabilities. To explore the biological underpinning of LMS, we evaluated gene-expression patterns of this disease in comparison with diverse sarcomas, nonmesenchymal neoplasms, and normal myogenic tissues. We identified a recurrent gene-expression program in LMS, with evidence of oncogenic evolution of an underlying smooth-muscle lineage-derived program characterized by activation of E2F1 and downstream effectors. Recurrently amplified or highly expressed genes in LMS were identified, including IGF1R and genes involved in retinoid signaling pathways. Though the majority of expressed transcripts were conserved across LMS samples, three separate subtypes were identified that were enriched for muscle-associated transcripts (conventional LMS), immune markers (inflammatory LMS), or a uterine-like gene-expression program (uterogenic LMS). Each of these subtypes expresses a unique subset of genes that may be useful in the management of LMS: IGF1R was enriched in conventional LMS, worse disease-specific survival was observed in inflammatory LMS, and prolactin was elaborated by uterogenic LMS. These results extend our understanding of LMS biology and identify several strategies and challenges for further translational investigation. IMPLICATIONS: LMS has a recurrent oncogenic transcriptional program and consists of molecular subtypes with biological and possible clinical implications.
| S-EPMC7484251 | biostudies-literature
Project description:Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation, and there are three molecular subtypes of LMS which have been defined previously by our lab. To further validate these subtypes and identify potential therapeutic targets in each subtype, we profiled the LMS cases from each subtype with RNA-Seq technology.
2015-12-25 | GSE62544 | GEO
Project description:Leiomyosarcoma (LMS) is a malignant neoplasm of smooth muscle and is an aggressive soft tissue tumor, have complex genetic abnormalities and could be defined as three molecular subtypes. Since that the molecular heterogeneity of LMS, the pathogenesis analysis per subtype will be highly necessary and helpful to understand the etiology of this more common sarcoma.
2015-05-19 | GSE54511 | GEO
Project description:Global gene expression analysis of inflammatory leiomyosarcoma (ILMS) and conventional leiomyosarcoma (LMS).
2013-05-22 | GSE37992 | GEO
Project description:Leiomyosarcoma (LMS) is a malignant neoplasm of smooth muscle and is an aggressive soft tissue tumor, have complex genetic abnormalities and could be defined as three molecular subtypes. Since that the molecular heterogeneity of LMS, the pathogenesis analysis per subtype will be highly necessary and helpful to understand the etiology of this more common sarcoma. Within this study, we collected four Myometrium, three Leiomyoma, three LMS cell lines and 99 LMSs (GSE45510), performed the system-wide gene expression profiling by 3'end RNA Sequencing, and found that there are significant different molecular pathways along the pathogenesis for those three molecular subtypes.
2015-05-19 | E-GEOD-54511 | biostudies-arrayexpress
Project description:<p>Metabolic lesions with pleiotropic effects on epigenetic regulation and other cellular processes are widely implicated in cancer, yet their oncogenic mechanisms remain poorly understood. Succinate dehydrogenase (SDH) deficiency causes a subset of gastrointestinal stromal tumors (GISTs) with DNA hyper-methylation. Here we associate this hyper-methylation with changes in chromosome topology that activate oncogenic programs. To investigate epigenetic alterations in this disease, we systematically mapped DNA methylation, CTCF insulators, enhancers and chromosome topology in KIT-mutant, PDGFRA-mutant and SDH-deficient GISTs. Although these respective subtypes share similar enhancer landscapes, we identified hundreds of putative insulators where DNA methylation replaced CTCF binding in SDH-deficient GISTs. We focused on disrupted insulators that partitions super-enhancers from FGF3, FGF4 and the KIT oncogene. Recurrent loss of this insulator alters locus topology in SDH-deficient GISTs, allowing aberrant physical interaction between enhancers and oncogenes. CRISPR-mediated excision of the corresponding CTCF motif in an SDH-intact model disrupted the boundary and up-regulated FGFs and KIT expression. Our findings reveal how a metabolic lesion destabilizes chromatin structure to facilitate the initiation and selection of epigenetic alterations that drive oncogenic programs in the absence of canonical mutations.</p>
| phs001906 | dbGaP
Project description:Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known about its molecular heterogeneity and no targeted therapy currently exists for LMS. We demonstrate the existence of 3 molecular subtypes in a cohort of 99 cases and an independent cohort of 82 LMS. Two new FFPE tissue-compatible diagnostic immunohistochemical markers are identified: LMOD1 for subtype I LMS and ARL4C for subtype II LMS. Subtype I and subtype II LMS are associated with good and poor prognosis, respectively. The LMS subtypes show significant differences in expression levels for genes for which novel targeted therapies are being developed.
2015-05-19 | GSE45510 | GEO
Project description:Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known about its molecular heterogeneity and no targeted therapy currently exists for LMS. We demonstrate the existence of 3 molecular subtypes in a cohort of 99 cases and an independent cohort of 82 LMS. Two new FFPE tissue-compatible diagnostic immunohistochemical markers are identified: LMOD1 for subtype I LMS and ARL4C for subtype II LMS. Subtype I and subtype II LMS are associated with good and poor prognosis, respectively. The LMS subtypes show significant differences in expression levels for genes for which novel targeted therapies are being developed. Gene expression profiling was performed by 3' End RNA Sequencing (3SEQ), a next generation sequencing approach that does not rely on frozen tissue but can be performed on archival FFPE tissue. Samples included 99 LMS, 6 Undifferentiated Pleomorphic Sarcomas (UPS), 3 leiomyomas, 4 normal myometrium samples, and 1 case of Lymphangioleiomyomatosis (LAM). This study only includes the 99 LMS Samples. After gene expression levels were quantified by 3SEQ analysis pipeline, Consensus Clustering with bootstrap method was used to determine that the dataset contained three robust subtypes, and Silhouette analysis was performed to validate the subtype assignments. Two class SAM analysis (Significance Analysis of Microarrays) was performed to identify genes expressed differentially between each subtype of LMS with FDR of 0.05. Immunohistochemical staining was used to validate the potential diagnostic and prognostic markers from 3SEQ data on a tissue microarray.
2015-05-19 | E-GEOD-45510 | biostudies-arrayexpress
Project description:Developmental chromatin programs determine oncogenic competence in melanoma
| PRJNA721948 | ENA