An ILK/STAT3 pathway controls plasticity in a neural stem cell model of glioblastoma.
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1002785 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR25537341.fastq.gz | Fastqsanger.gz | |||
| SRR25537342.fastq.gz | Fastqsanger.gz | |||
| SRR25537343.fastq.gz | Fastqsanger.gz | |||
| SRR25537344.fastq.gz | Fastqsanger.gz | |||
| SRR25537345.fastq.gz | Fastqsanger.gz |
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Project description:Glioblastomas (GBM) are driven by malignant neural stem-like cells that display extensive heterogeneity and phenotypic plasticity, which drives tumour progression and therapeutic resistance. Here we show that the nodal extracellular matrix-cell adhesion protein integrin-linked kinase (ILK) is a key determinant of phenotypic plasticity and the mesenchymal-like, invasive cell state in mouse GBM stem cells. We found that an ILK-STAT3 signalling pathway is required for plasticity that enables the transition of GBM stem cells to an astrocyte-like state both in vitro andin vivo. GBM cells genetically depleted of ILK become predominantly stabilised in a transcriptionally-defined progenitor-like state that is characterised by lack of response to differentiation cues and constitutive proliferation. Loss of ILK or interference with STAT3 impairs differentiation potential, reducing phenotypic plasticity of tumour cell populations; additionally, ILK loss causes a mesenchymal- to epithelial-like morphological transition and suppression of malignancy-associated features. Our work defines ILK as a central regulator of multiple GBM phenotypes including phenotypic plasticity and mesenchymal state.
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Project description:Increasing evidence supports the idea that cancer cell plasticity promotes metastasis and tumor recurrence, resulting in patient mortality. While it is clear that the tumor microenvironment (TME) contributes to cancer cell plasticity, the specific TME factors most actively controlling plasticity remain largely unknown. Here, we performed a screen to identify TME cytokines and growth factors that promote epithelial-mesenchymal plasticity, and acquisition of cancer stem-cell (CSC) properties. Of 28 TME cytokines and growth factors tested, we identified Oncostatin M (OSM) as the most potent inducer of mesenchymal/CSC properties. OSM-induced plasticity was Signal Transducer and Activator of Transcription 3 (STAT3)-dependent, and also required a novel intersection with Transforming Growth Factor-β (TGF-β)/SMAD signaling. OSM/STAT3 activation promoted SMAD3 nuclear accumulation, DNA-binding, and induced SMAD3-dependent transcriptional activity. Suppression of TGF-β receptor activity or ablation of SMAD3 or SMAD4, but not SMAD2, strongly suppressed OSM/STAT3-mediated plasticity. Moreover, removal of OSM or inhibition of STAT3 or SMAD3 resulted in a marked reversion to a non-invasive, epithelial phenotype. We propose that, targeted blockade of the STAT3/SMAD3 axis in tumor cells may represent a novel therapeutic approach to prevent the plasticity required for metastatic progression and tumor recurrence.
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Project description:The neural behavior of glioblastoma, including the formation of tumor microtubes and synaptic circuitry, is increasingly understood to be pivotal for disease manifestation (Osswald et al. 2015; Venkatesh et al. 2015; Weil et al. 2017; Venkataramani et al. 2019; Venkatesh et al. 2019; Alcantara Llaguno et al. 2019; Venkataramani et al. 2022). Nonetheless, the few approved treatments for glioblastoma target its oncological nature, while its neural vulnerabilities remain incompletely mapped and clinically unexploited. Here, we systematically survey the neural molecular dependencies and cellular heterogeneity across 27 glioblastoma patients and diverse model systems. In patient tumor samples taken directly after surgery, we identify a spectrum of neural stem cell morphologies indicative of poor prognosis, and discover a set of repurposable neuroactive drugs with unexpected and consistent anti-glioma efficacy. Glioblastoma cells exhibit functional dependencies on highly expressed drug targets including neurological ion channels and receptors, while interpretable molecular machine learning reveals downstream convergence on secondary drug targets (COSTAR) involving AP-1-driven tumor suppression. COSTAR enables in silico drug screening on >1 million compounds that are validated with high accuracy. Multi-omic profiling of drug-treated glioblastoma cells confirms rapid Ca2+-driven AP-1 pathway induction to represent a tumor-intrinsic vulnerability at the intersection of oncogenesis and neural activity-dependent signaling. Finally, the consistent anti-glioma activity across patients and model systems is epitomized by the antidepressant Vortioxetine, which synergizes in vivo with approved glioblastoma chemotherapies. In all, our global analysis reveals that the neural vulnerabilities of glioblastoma converge on an AP-1 mediated gene regulatory network with direct translatable potential.
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Project description:Next generation sequencing platforms were used to identify STAT3 targets in the background of EGFRvIII expresssion mRNA of 3 EGFRvIII positive brain tumor stem cell lines (BTSC #68, 73, and 90) were compared to an EGFRvIII negative line (#41) to identify EGFRvIII-regulated targets in human BTSC. EGFRvIII-dependent targets in mouse astrocytes were identified by mRNA-seq analyses of EGFRvIII- or MSCV-expressing astrocytes. STAT3-differentially regulated genes in EGFRvIII expressing mouse astrocytes were obtained by subjecting EGFRvIII,STAT3f/f and EGFRvIII, STAT3-/- astrocytes to mRNA-Seq analyses. Sites of STAT3 occupancy in EGFRvIII expressing astrocytes were identified by ChIP-Seq using a STAT3 antibody or IgG control. We identified OSMR as a direct target of STAT3 in both EGFRvIII-expressing human BTSC and mouse astrocytes. Therefore to identify OSMR-regulated genes, we used a lentiviral mediated RNAi system to knockdown OSMR in EGFRvIII-expressing astrocytes. OSMR-dependent differentially expressed genes were obtained by comparison of OSMR knockdown (KD1 and KD2) astrocytes to control groups (ShRNA control and Vector control)
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