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Dissecting Super-enhancer driven Transcriptional Dependencies Reveals Novel Oncogenes and Therapeutic Strategies of Group 3 Subtype Medulloblastoma [ChIP-seq]

ABSTRACT: Dissecting Super-enhancer driven Transcriptional Dependencies Reveals Novel Oncogenes and Therapeutic Strategies of Group 3 Subtype Medulloblastoma [ChIP-seq]

PROVIDER: PRJNA767359 | ENA |

REPOSITORIES: ENA

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Dissecting Super-enhancer driven Transcriptional Dependencies Reveals Novel Oncogenes and Therapeutic Strategies of Group 3 Subtype Medulloblastoma [RNA-seq]

Project description:Medulloblastoma (MB) is the most common malignant pediatric brain tumor and group 3 subtype (G3-MB) exhibits the worst prognosis. Dissecting super-enhancer (SE) driven transcriptional dependencies of cancer has been shown to facilitate identifying novel oncogenic mechanisms and therapeutic targets or strategies. In this study, our integrative SE analyses of primary tissues and patient-derived tumor cell lines of G3-MB revealed their partially conserved SE-associated transcripts were enriched of subtype-specific tumor-dependent genes and MB patients harboring enrichment of those transcripts exhibited worse prognosis. Fourteen such conserved SE-associated genes were identified to be members of SE-driven core transcriptional regulatory network of G3-MB, including three well-recognized master TFs and eleven newly identified effector oncogenes. ARL4D, one of the effector oncogenes, was further demonstrated to exert its oncogenic role via maintaining cell-cycle progression and stemness of G3-MB cells. Moreover, BET inhibition with CDK7 inhibition or proteasome inhibition, two combinatory strategies of targeting SE complex components (BRD4, CDK7) or SE-associated effector oncogene (PSMB5), were shown to exhibit synergistic therapeutic effects against G3-MB. Taken together, our study verifies the oncogenic role and therapeutic potential of SE-driven transcriptional dependencies of G3-MB, resulting in better understanding of its tumor biology and identification of novel SE-associated therapeutic targets or strategies.

2021-10-04 | GSE185024 | GEO

Dissecting Super-enhancer driven Transcriptional Dependencies Reveals Novel Oncogenes and Therapeutic Strategies of Group 3 Subtype Medulloblastoma [ChIP-seq]

2021-10-04 | GSE185003 | GEO

Dissecting Super-enhancer driven Transcriptional Dependencies Reveals Novel Oncogenes and Therapeutic Strategies of Group 3 Subtype Medulloblastoma

Project description:Dissecting Super-enhancer driven Transcriptional Dependencies Reveals Novel Oncogenes and Therapeutic Strategies of Group 3 Subtype Medulloblastoma

| PRJNA767390 | ENA

Dissecting Super-enhancer driven Transcriptional Dependencies Reveals Novel Oncogenes and Therapeutic Strategies of Group 3 Subtype Medulloblastoma [RNA-seq]

Project description:Dissecting Super-enhancer driven Transcriptional Dependencies Reveals Novel Oncogenes and Therapeutic Strategies of Group 3 Subtype Medulloblastoma [RNA-seq]

| PRJNA767392 | ENA

Dissecting Super-enhancer driven Transcriptional Dependencies Reveals Novel Oncogenes and Therapeutic Strategies of Group 3 Subtype Medulloblastoma

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-10-04 | GSE185025 | GEO

KRASG12C inhibition produces a driver-limited state revealing collateral dependencies

Project description:Inhibitors targeting KRASG12C are a promising new class of oncogene-specific therapeutics for the treatment of tumors driven by KRASG12C mutations. These molecules react with the mutant cysteine residue by binding covalently to the switch-II pocket present only in the inactive-GDP state of KRASG12C, sparing the wild type protein. We systematically probe genetic interactions with direct KRASG12C inhibition in cellular models of KRASG12C mutant lung and pancreatic cancer using a genome-scale CRISPR interference (CRISPRi) functional genomics platform. Our data reveal that repression of genes selectively essential in an oncogenic driverlimited cell state, which we term collateral dependencies (CDs), enhances cellular susceptibility to direct KRASG12C inhibition. We nominate two classes of combination therapies targeting CDs that increase KRASG12C target engagement or block residual survival pathways. We demonstrate in vitro and in vivo that both classes enhance response to anti-KRASG12C therapy and propose a new framework for assessing genetic dependencies with driver oncogenes.

2020-03-23 | PXD013075 | Pride

Enhancer hijacking activates GFI1 family oncogenes in medulloblastoma.

Project description: Not available

| S-EPMC4201514 | biostudies-literature

Dissecting the genomic complexity underlying medulloblastoma.

Project description: Not available

| S-EPMC3662966 | biostudies-literature

KRASG12C inhibition produces a driver-limited state revealing collateral dependencies

Project description:Inhibitors targeting KRASG12C, a mutant form of the guanosine triphosphatase (GTPase) KRAS, are a promising new class of oncogene-specific therapeutics for the treatment of tumors driven by the mutant protein. These molecules react with the mutant cysteine residue by binding covalently to the switch-II pocket (S-IIP) that is present only in the inactive guanosine diphosphate (GDP)-bound state of KRASG12C, sparing the wild-type protein. We used a genome-scale CRISPR interference (CRISPRi) functional genomics platform to systematically identify genetic interactions with the KRASG12C inhibitor in cellular models of KRASG12C mutant lung and pancreatic cancer. Our data revealed genes that were selectively essential in this oncogenic driver-limited cell state, meaning their loss enhanced cellular susceptibility to direct KRASG12C inhibition. We termed such genes “collateral dependencies” (CDs), and identified two classes of combination therapies targeting these CDs that increased KRASG12C target engagement or blocked residual survival pathways in cells and in vivo. From our findings, we also propose a new framework for assessing genetic dependencies with driver oncogenes.

2019-05-03 | GSE130616 | GEO

Dissecting the regulatory strategies of NFkB RelA target genes in the inflammatory response reveals differential transactivation logics

Project description:Dissecting the regulatory strategies of NFkB RelA target genes in the inflammatory response reveals differential transactivation logics

| PRJNA548321 | ENA

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