Publications by authors named "Massimo Squatrito"

Genetically engineered mouse models (GEMMs) are instrumental for modelling local and systemic features of complex diseases such as cancer. Non-invasive, longitudinal cell detection and monitoring in tumors, metastases and/or the micro-environment is paramount to achieve a better spatiotemporal understanding of cancer progression and to evaluate therapies in preclinical studies. Bioluminescent and fluorescent reporters marking tumor cells or their microenvironment are valuable for non-invasive cell detection and monitoring in vivo.

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  • Amyotrophic lateral sclerosis (ALS) is a complex neurodegenerative disorder that impacts motor neurons and can vary in age of onset, progression rate, and symptoms.
  • ALS4, a subtype of ALS caused by mutations in the senataxin gene, typically presents in younger patients and progresses slowly, leading to mobility issues in their fifties.
  • Research using mouse models has revealed a unique immune response involving CD8 T cells in ALS4 that may help to understand disease mechanisms and could serve as a possible biomarker for tracking the disease.
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  • DIPGs are really tough brain tumors in kids, and doctors are looking for better treatments because current options aren’t working well.
  • A new treatment called Delta-24-ACT uses a special virus to help the immune system fight these tumors, showing promise in mice by making them live longer.
  • This treatment is safe for the mice and helps their immune systems become stronger against the tumors, suggesting it could be a good option for kids with DIPG in the future.
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The molecular basis underlying glioblastoma (GBM) heterogeneity and plasticity is not fully understood. Using transcriptomic data of human patient-derived brain tumor stem cell lines (BTSCs), classified based on GBM-intrinsic signatures, we identify the AP-1 transcription factor as a key regulator of the mesenchymal (MES) subtype. We provide a mechanistic basis to the role of the neurofibromatosis type 1 gene (), a negative regulator of the RAS/MAPK pathway, in GBM mesenchymal transformation through the modulation of expression.

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Glioblastoma (GBM) is the most frequent and aggressive primary tumor type in the central nervous system in adults. Resistance to chemotherapy remains one of the major obstacles in GBM treatment. Identifying and overcoming the mechanisms of therapy resistance is instrumental to develop novel therapeutic approaches for patients with GBM.

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The tumor microenvironment plays an essential role in supporting glioma stemness and radioresistance. Following radiotherapy, recurrent gliomas form in an irradiated microenvironment. Here we report that astrocytes, when pre-irradiated, increase stemness and survival of cocultured glioma cells.

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(1) Background: Despite the indisputable effectiveness of dexamethasone (DEXA) to reduce inflammation in glioblastoma (GBM) patients, its influence on tumour progression and radiotherapy response remains controversial. (2) Methods: We analysed patient data and used expression and cell biological analyses to assess effects of DEXA on GBM cells. We tested the efficacy of tyrosine kinase inhibitors in vitro and in vivo.

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Glioblastoma is a lethal brain tumor that exhibits heterogeneity and resistance to therapy. Our understanding of tumor homeostasis is limited by a lack of genetic tools to selectively identify tumor states and fate transitions. Here, we use glioblastoma subtype signatures to construct synthetic genetic tracing cassettes and investigate tumor heterogeneity at cellular and molecular levels, and .

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Temozolomide (TMZ) is an oral alkylating agent used for the treatment of glioblastoma and is now becoming a chemotherapeutic option in patients diagnosed with high-risk low-grade gliomas. The O-6-methylguanine-DNA methyltransferase (MGMT) is responsible for the direct repair of the main TMZ-induced toxic DNA adduct, the O6-Methylguanine lesion. MGMT promoter hypermethylation is currently the only known biomarker for TMZ response in glioblastoma patients.

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The last decade's progress unraveling the mutational landscape of all age groups of cancer has uncovered mutations in histones as vital contributors of tumorigenesis. Here we review three new aspects of oncogenic histones: first, the identification of additional histone mutations potentially contributing to cancer formation; second, tumors expressing histone mutations to study the crosstalk of post-translational modifications, and; third, development of sophisticated biological model systems to reproduce tumorigenesis. At the outset, we recapitulate the firstly discovered histone mutations in pediatric and adolescent tumors of the brain and bone, which still remain the most pronounced histone alterations in cancer.

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  • Recent scientific research reveals abnormal splicing patterns and new gene fusions related to neurotrophic tyrosine receptor kinases (NTRKs) in brain tumors called gliomas.
  • *The study focuses on the truncated NTRK2 splice variant, TrkB.T1, which plays a significant role in the development and progression of gliomas by enhancing signaling pathways involved in tumor growth.
  • *These findings emphasize the need to study splice variants alongside whole genes and gene fusions in neuro-oncology research to better understand brain cancer mechanisms.
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Cancer response to immunotherapy depends on the infiltration of CD8 T cells and the presence of tumor-associated macrophages within tumors. Still, little is known about the determinants of these factors. We show that LIF assumes a crucial role in the regulation of CD8 T cell tumor infiltration, while promoting the presence of protumoral tumor-associated macrophages.

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  • Viral infections like influenza A virus (IAV) disrupt host cell functions and can be used to study how cells respond to infections.
  • IAV causes global issues in the transcription process of host genes, leading to the production of faulty RNAs, which hinders the normal antiviral response and overall virulence.
  • The NS1 protein of IAV plays a crucial role in this suppression of host gene expression, and variations in viral proteins can influence the severity of the infection.
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To accurately recapitulate the heterogeneity of human diseases, animal models require to recreate multiple complex genetic alterations. Here, we combine the RCAS-TVA system with the CRISPR-Cas9 genome editing tools for precise modeling of human tumors. We show that somatic deletion in neural stem cells of a variety of known tumor suppressor genes (Trp53, Cdkn2a, and Pten) leads to high-grade glioma formation.

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Transport of macromolecules through the nuclear pore by importins and exportins plays a critical role in the spatial regulation of protein activity. How cancer cells co-opt this process to promote tumorigenesis remains unclear. The epidermal growth factor receptor (EGFR) plays a critical role in normal development and in human cancer.

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Glioblastoma multiforme (GBM) is an aggressive form of brain cancer with poor prognosis. Cancer cells are characterized by a specific redox environment that adjusts metabolism to its specific needs and allows the tumor to grow and metastasize. As a consequence, cancer cells and especially GBM cells suffer from elevated oxidative pressure which requires antioxidant-defense and other sanitation enzymes to be upregulated.

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Glioblastoma multiforme (GBM) is a deadly and common brain tumor. Poor prognosis is linked to high proliferation and cell heterogeneity, including glioma stem cells (GSCs). Telomere genes are frequently mutated.

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We leveraged IDH wild-type glioblastomas, derivative neurospheres, and single-cell gene expression profiles to define three tumor-intrinsic transcriptional subtypes designated as proneural, mesenchymal, and classical. Transcriptomic subtype multiplicity correlated with increased intratumoral heterogeneity and presence of tumor microenvironment. In silico cell sorting identified macrophages/microglia, CD4 T lymphocytes, and neutrophils in the glioma microenvironment.

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In this issue of Cancer Cell, Giachino and colleagues, employing various approaches, describe a tumor suppressor function for Notch signaling in forebrain tumors and suggest that decreased Notch activity could be a key molecular event in supratentorial primitive neuroectodermal tumors (sPNET).

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To understand the relationships between the non-GCIMP glioblastoma (GBM) subgroups, we performed mathematical modeling to predict the temporal sequence of driver events during tumorigenesis. The most common order of evolutionary events is 1) chromosome (chr) 7 gain and chr10 loss, followed by 2) CDKN2A loss and/or TP53 mutation, and 3) alterations canonical for specific subtypes. We then developed a computational methodology to identify drivers of broad copy number changes, identifying PDGFA (chr7) and PTEN (chr10) as driving initial nondisjunction events.

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