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1.
J Pathol ; 247(4): 422-434, 2019 04.
Artigo em Inglês | MEDLINE | ID: mdl-30565681

RESUMO

The overall survival for patients with primary glioblastoma is very poor. Glioblastoma contains a subpopulation of glioma stem cells (GSC) that are responsible for tumour initiation, treatment resistance and recurrence. PPARα is a transcription factor involved in the control of lipid, carbohydrate and amino acid metabolism. We have recently shown that PPARα gene and protein expression is increased in glioblastoma and has independent clinical prognostic significance in multivariate analyses. In this work, we report that PPARα is overexpressed in GSC compared to foetal neural stem cells. To investigate the role of PPARα in GSC, we knocked down its expression using lentiviral transduction with short hairpin RNA (shRNA). Transduced GSC were tagged with luciferase and stereotactically xenografted into the striatum of NOD-SCID mice. Bioluminescent and magnetic resonance imaging showed that knockdown (KD) of PPARα reduced the tumourigenicity of GSC in vivo. PPARα-expressing control GSC xenografts formed invasive histological phenocopies of human glioblastoma, whereas PPARα KD GSC xenografts failed to establish viable intracranial tumours. PPARα KD GSC showed significantly reduced proliferative capacity and clonogenic potential in vitro with an increase in cellular senescence. In addition, PPARα KD resulted in significant downregulation of the stem cell factors c-Myc, nestin and SOX2. This was accompanied by downregulation of the PPARα-target genes and key regulators of fatty acid oxygenation ACOX1 and CPT1A, with no compensatory increase in glycolytic flux. These data establish the aberrant overexpression of PPARα in GSC and demonstrate that this expression functions as an important regulator of tumourigenesis, linking self-renewal and the malignant phenotype in this aggressive cancer stem cell subpopulation. We conclude that targeting GSC PPARα expression may be a therapeutically beneficial strategy with translational potential as an adjuvant treatment. © 2018 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.


Assuntos
Neoplasias Encefálicas/patologia , Glioblastoma/patologia , PPAR alfa/metabolismo , RNA Interferente Pequeno/farmacologia , Animais , Biomarcadores Tumorais/metabolismo , Transformação Celular Neoplásica , Regulação para Baixo , Feminino , Regulação Neoplásica da Expressão Gênica/fisiologia , Técnicas de Silenciamento de Genes/métodos , Humanos , Lentivirus , Camundongos Endogâmicos NOD , Camundongos SCID , Células-Tronco Neoplásicas/patologia , Fenótipo , Transdução de Sinais/fisiologia , Transplante Heterólogo , Células Tumorais Cultivadas
2.
J Clin Pathol ; 71(8): 695-701, 2018 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-29463577

RESUMO

AIMS: Histopathological tissue samples are being increasingly used as sources of nucleic acids in molecular pathology translational research. This study investigated the suitability of glioblastoma and control central nervous system (CNS) formalin-fixed paraffin embedded (FFPE) tissue-derived RNA for gene expression analyses. METHODS: Total RNA was extracted from control (temporal lobe resection tissue) and glioblastoma FFPE tissue samples. RNA purity (260/280 ratios) was determined and RNA integrity number (RIN) analysis was performed. RNA was subsequently used for RT-qPCR for two reference genes, 18S and GAPDH. RESULTS: Reference gene expression was equivalent between control and glioblastoma tissue when using RNA extracted from FFPE tissue, which has key implications for biological normalisation for CNS gene expression studies. There was a significant difference between the mean RIN values of control and glioblastoma FFPE tissue. There was no significant correlation between 260/280 or RIN values versus total RNA yield. The age of the tissue blocks did not influence RNA yield, fragmentation or purity. There was no significant correlation between RIN or 260/280 ratios and mean qPCR cycle threshold for either reference gene. CONCLUSIONS: This study showed that routinely available CNS FFPE tissue is suitable for RNA extraction and downstream gene expression studies, even after 60 months of storage. Substantial RNA fragmentation associated with glioblastoma and control FFPE tissue blocks did not preclude downstream RT-qPCR gene expression analyses. Cross validation with both archival and prospectively collated FFPE specimens is required to further demonstrate that CNS tissue blocks can be used in novel translational molecular biomarker studies.


Assuntos
Neoplasias Encefálicas/genética , Epilepsia do Lobo Temporal/genética , Fixadores/química , Formaldeído/química , Perfilação da Expressão Gênica , Glioblastoma/genética , Inclusão em Parafina , Estabilidade de RNA , RNA Neoplásico/genética , Fixação de Tecidos/métodos , Neoplasias Encefálicas/cirurgia , Estudos de Casos e Controles , Epilepsia do Lobo Temporal/cirurgia , Perfilação da Expressão Gênica/normas , Glioblastoma/cirurgia , Humanos , Inclusão em Parafina/normas , Valor Preditivo dos Testes , Controle de Qualidade , Reprodutibilidade dos Testes , Fatores de Tempo , Fixação de Tecidos/normas
3.
Histopathology ; 70(7): 1030-1043, 2017 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-27926792

RESUMO

AIMS: PPARα agonists are in current clinical use as hypolipidaemic agents and show significant antineoplastic effects in human glioblastoma models. To date however, the expression of PPARα in large-scale glioblastoma datasets has not been examined. We aimed to investigate the expression of the transcription factor PPARα in primary glioblastoma, the relationship between PPARα expression and patients' clinicopathological features and other molecular markers associated with gliomagenesis. METHODS AND RESULTS: With protein immunoblotting techniques and reverse transcription quantitative real-time PCR, PPARα was found to be significantly overexpressed in glioblastoma compared with control brain tissue (P = 0.032 and P = 0.005). PPARA gene expression was found to be enriched in the classical glioblastoma subtype within The Cancer Genome Atlas (TCGA) dataset. Although not associated with overall survival when assessed by immunohistochemistry, cross-validation with the TCGA dataset and multivariate analyses identified PPARA gene expression as an independent prognostic marker for overall survival (P = 0.042). Finally, hierarchical clustering revealed novel, significant associations between high PPARA expression and a putative set of glioblastoma molecular mediators including EMX2, AQP4, and NTRK2. CONCLUSIONS: PPARα is overexpressed in primary glioblastoma and high PPARA expression functions as an independent prognostic marker in the glioblastoma TCGA dataset. Further studies are required to explore genetic associations with high PPARA expression and to analyse the predictive role of PPARα expression in glioblastoma models in response to PPARα agonists.


Assuntos
Biomarcadores Tumorais/análise , Neoplasias Encefálicas/patologia , Glioblastoma/patologia , PPAR alfa/biossíntese , Adulto , Idoso , Idoso de 80 Anos ou mais , Neoplasias Encefálicas/metabolismo , Neoplasias Encefálicas/mortalidade , Criança , Feminino , Glioblastoma/metabolismo , Glioblastoma/mortalidade , Humanos , Isocitrato Desidrogenase/genética , Estimativa de Kaplan-Meier , Masculino , Pessoa de Meia-Idade , PPAR alfa/análise , Prognóstico , Modelos de Riscos Proporcionais
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