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Current treatment against glioblastoma consists of surgical resection followed by temozolomide, with or without combined radiotherapy. Glioblastoma frequently acquires resistance to chemotherapy and/or radiotherapy. Novel therapeutic approaches are thus required. The inhibition of enhancer of zeste homolog 2 (EZH2; a histone methylase) and histone deacetylases (HDACs) are possible epigenetic treatments. Temozolomide, 3-deazaneplanocin A (DZ-Nep; an EZH2 inhibitor) and panobinostat (an HDAC inhibitor) were tested in regular and temozolomide-resistant glioblastoma cells to confirm whether the compounds could behave in a synergistic, additive or antagonistic manner. A total of six commercial cell lines, two temozolomide-induced resistant cell lines and two primary cultures derived from glioblastoma samples were used. Cell lines were exposed to single treatments of the drugs in addition to all possible two-and three-drug combinations. Colony formation assays, synergistic assays and reverse transcription-quantitative PCR analysis of apoptosis-associated genes were performed. The highest synergistic combination was DZ-Nep + panobinostat. Triple treatment was also synergistic. Reduced clonogenicity and increased apoptosis were both induced. It was concluded that the therapeutic potential of the combination of these three drugs in glioblastoma was evident and should be further explored.

The comprehension of unconventional immune functions of tonsillar B cells, their role in tolerance induction and protective immune responses, is crucial to unveil the dynamic interactions of the upper aero digestive tract with polymicrobial commensal flora and pathogens, in health and disease. Here, we describe the kinetics of IL10 intracellular expression and compare it with that of cytokines known to be produced by tonsillar B cells. Additionally, we detected a relevant proportion of IL17-expressing tonsillar B cells, which has not previously been reported. We immunophenotyped tonsillar IL10-expressing B cells (B10) and observed IL10 production in activated B cells at every developmental stage. Finally, we identified a relationship between decreased B10 percentages, increased proportion of the germinal centre (GC) population and hypertrophied tonsils (HT). Our findings provide greater insight into the role of B10 in GC reactions and characterized their involvement in the pathogenesis of tonsillar dysfunction.

Immune responses at the boundary between the host and the world beyond are complex and mucosal tissue homeostasis relies on them. Obstructive sleep apnea (OSA) is a syndrome suffered by children with hypertrophied tonsils. We have previously demonstrated that these tonsils present a defective regulatory B cell (Breg) compartment. Here, we extend those findings by uncovering the crucial role of resident pro-inflammatory B and T cells in sustaining tonsillar hypertrophy and hyperplasia by producing TNFα and IL17, respectively, in ex vivo cultures. Additionally, we detected prominent levels of expression of CD1d by tonsillar stratified as well as reticular epithelium, which have not previously been reported. Furthermore, we evidenced the hypertrophy of germinal centers (GC) and the general hyperplasia of B lymphocytes within the tissue and the lumen of the crypts. Of note, such B cells resulted mainly (IgG/IgM)+ cells, with some IgA+ cells located marginally in the follicles. Finally, by combining bacterial culture from the tonsillar core and subsequent identification of the respective isolates, we determined the most prevalent species within the cohort of OSA patients. Although the isolated species are considered normal oropharyngeal commensals in children, we confirmed their capacity to breach the epithelial barrier. Our work sheds light on the pathological mechanism underlying OSA, highlighting the relevance taken by the host immune system when defining infection versus colonization, and opening alternatives of treatment.

Medulloblastoma is one of the most frequent and aggressive tumors of childhood. The Sonic hedgehog (Shh) pathway, related to human development, is altered in most medulloblastomas: genes like Ptch, Smo, or Sufu suffer mutations in 15% to 25% of these tumors. We tested Shh inhibition in the Daoy medulloblastoma cell line by two methods: a molecular one (direct Gli1 siRNA inhibition); and a pharmacological inhibition of Smo, upstream of Gli1, by cyclopamine. Afterwards, a comparison of cellular and molecular responses was done. We proved that MTT cell viability, and cell migration assessed by the scratching assay decreased after Shh inhibition. Furthermore, colony formation assay in culture decreased by 70%, and colony formation assay in soft agar decreased up to 90% when Shh inhibition was applied. As a whole, Shh inhibition conferred a less in vitro tumorigenic status to Daoy cells. Moreover, we assessed the expression of different Gli1 target genes and other genes, before and after Shh inhibition, and found that Shh shows a crosstalk with oncogenes and tumor suppressor genes that have been described in numerous tumors. Therefore, we found downregulation of Ptch1, Cyclin D2, Plakoglobin, Nkx2.2, Bmi1, Smo and N-myc after Shh inhibition. Sufu and Gli3 showed parallel results, where Gli1 siRNA did neither decrease nor increase expression of both genes, whereas cyclopamine reduced them in 15-25%. Pax6 mRNA levels were upregulated by either Gli1 siRNA or cyclopamine. Finally, Notch1 was upregulated after inhibition of Shh, while Notch2 showed contrasting results, as siRNA inhibition decreased its expression, while cyclopamine increased it. All these experiments give an overview of the Shh pathway in medulloblastoma, its relationship with other genes, and the demonstration of the efficacy of cyclopamine and Gli 1 siRNA Shh inhibition in vitro. Citation Format: R Garcia-Lopez, B Vera-Cano, A Vacas-Oleas, J de la Rosa, G Gallo-Oller, M H. Shahi, X Fan, M M. Alonso, J A. Rey, Javier S. Castresana. Sonic hedgehog inhibition reduces in vitro tumorigenesis and alters expression of GLI1-target genes in a desmoplastic medulloblastoma cell line. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 5053. doi:10.1158/1538-7445.AM2013-5053

Glioblastoma is the most malignant brain tumor and presents high resistance to chemotherapy and radiotherapy. Surgery, radiotherapy and chemotherapy with temozolomide are the only treatments against this tumor. New targeted therapies, including epigenetic modulators such as 3-deazaneplanocin A (DZ-Nep; an EZH2 inhibitor) and panobinostat (a histone deacetylase inhibitor) are being tested in vitro, together with temozolomide. The present study combined APR-246 with DZ-Nep, panobinostat and teomozolomide in order to explore the possibility of restoring p53 function in mutated cases of glioblastoma. Following the Chou-Talalay method it was demonstrated that APR-246 acts in an additive manner together with the other compounds, reducing clonogenicity and inducing apoptosis in glioblastoma cells independently of p53 status.

The rise in artificial intelligence and natural language processing techniques has increased considerably in the last few decades. Historically, the focus has been primarily on texts expressed in prose form, leaving mostly aside figurative or poetic expressions of language due to their rich semantics and syntactic complexity. The creation and analysis of poetry have been commonly carried out by hand, with a few computer-assisted approaches. In the Spanish context, the promise of machine learning is starting to pan out in specific tasks such as metrical annotation and syllabification. However, there is a task that remains unexplored and underdeveloped: stanza classification. This classification of the inner structures of verses in which a poem is built upon is an especially relevant task for poetry studies since it complements the structural information of a poem. In this work, we analyzed different computational approaches to stanza classification in the Spanish poetic tradition. These approaches show that this task continues to be hard for computers systems, both based on classical machine learning approaches as well as statistical language models and cannot compete with traditional computational paradigms based on the knowledge of experts.