10 resultados para MiRNA

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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Despite new methods and combined strategies, conventional cancer chemotherapy still lacks specificity and induces drug resistance. Gene therapy can offer the potential to obtain the success in the clinical treatment of cancer and this can be achieved by replacing mutated tumour suppressor genes, inhibiting gene transcription, introducing new genes encoding for therapeutic products, or specifically silencing any given target gene. Concerning gene silencing, attention has recently shifted onto the RNA interference (RNAi) phenomenon. Gene silencing mediated by RNAi machinery is based on short RNA molecules, small interfering RNAs (siRNAs) and microRNAs (miRNAs), that are fully o partially homologous to the mRNA of the genes being silenced, respectively. On one hand, synthetic siRNAs appear as an important research tool to understand the function of a gene and the prospect of using siRNAs as potent and specific inhibitors of any target gene provides a new therapeutical approach for many untreatable diseases, particularly cancer. On the other hand, the discovery of the gene regulatory pathways mediated by miRNAs, offered to the research community new important perspectives for the comprehension of the physiological and, above all, the pathological mechanisms underlying the gene regulation. Indeed, changes in miRNAs expression have been identified in several types of neoplasia and it has also been proposed that the overexpression of genes in cancer cells may be due to the disruption of a control network in which relevant miRNA are implicated. For these reasons, I focused my research on a possible link between RNAi and the enzyme cyclooxygenase-2 (COX-2) in the field of colorectal cancer (CRC), since it has been established that the transition adenoma-adenocarcinoma and the progression of CRC depend on aberrant constitutive expression of COX-2 gene. In fact, overexpressed COX-2 is involved in the block of apoptosis, the stimulation of tumor-angiogenesis and promotes cell invasion, tumour growth and metastatization. On the basis of data reported in the literature, the first aim of my research was to develop an innovative and effective tool, based on the RNAi mechanism, able to silence strongly and specifically COX-2 expression in human colorectal cancer cell lines. In this study, I firstly show that an siRNA sequence directed against COX-2 mRNA (siCOX-2), potently downregulated COX-2 gene expression in human umbilical vein endothelial cells (HUVEC) and inhibited PMA-induced angiogenesis in vitro in a specific, non-toxic manner. Moreover, I found that the insertion of a specific cassette carrying anti-COX-2 shRNA sequence (shCOX-2, the precursor of siCOX-2 previously tested) into a viral vector (pSUPER.retro) greatly increased silencing potency in a colon cancer cell line (HT-29) without activating any interferon response. Phenotypically, COX-2 deficient HT-29 cells showed a significant impairment of their in vitro malignant behaviour. Thus, results reported here indicate an easy-to-use, powerful and high selective virus-based method to knockdown COX-2 gene in a stable and long-lasting manner, in colon cancer cells. Furthermore, they open up the possibility of an in vivo application of this anti-COX-2 retroviral vector, as therapeutic agent for human cancers overexpressing COX-2. In order to improve the tumour selectivity, pSUPER.retro vector was modified for the shCOX-2 expression cassette. The aim was to obtain a strong, specific transcription of shCOX-2 followed by COX-2 silencing mediated by siCOX-2 only in cancer cells. For this reason, H1 promoter in basic pSUPER.retro vector [pS(H1)] was substituted with the human Cox-2 promoter [pS(COX2)] and with a promoter containing repeated copies of the TCF binding element (TBE) [pS(TBE)]. These promoters were choosen because they are partculary activated in colon cancer cells. COX-2 was effectively silenced in HT-29 and HCA-7 colon cancer cells by using enhanced pS(COX2) and pS(TBE) vectors. In particular, an higher siCOX-2 production followed by a stronger inhibition of Cox-2 gene were achieved by using pS(TBE) vector, that represents not only the most effective, but also the most specific system to downregulate COX-2 in colon cancer cells. Because of the many limits that a retroviral therapy could have in a possible in vivo treatment of CRC, the next goal was to render the enhanced RNAi-mediate COX-2 silencing more suitable for this kind of application. Xiang and et al. (2006) demonstrated that it is possible to induce RNAi in mammalian cells after infection with engineered E. Coli strains expressing Inv and HlyA genes, which encode for two bacterial factors needed for successful transfer of shRNA in mammalian cells. This system, called “trans-kingdom” RNAi (tkRNAi) could represent an optimal approach for the treatment of colorectal cancer, since E. Coli in normally resident in human intestinal flora and could easily vehicled to the tumor tissue. For this reason, I tested the improved COX-2 silencing mediated by pS(COX2) and pS(TBE) vectors by using tkRNAi system. Results obtained in HT-29 and HCA-7 cell lines were in high agreement with data previously collected after the transfection of pS(COX2) and pS(TBE) vectors in the same cell lines. These findings suggest that tkRNAi system for COX-2 silencing, in particular mediated by pS(TBE) vector, could represent a promising tool for the treatment of colorectal cancer. Flanking the studies addressed to the setting-up of a RNAi-mediated therapeutical strategy, I proposed to get ahead with the comprehension of new molecular basis of human colorectal cancer. In particular, it is known that components of the miRNA/RNAi pathway may be altered during the progressive development of colorectal cancer (CRC), and it has been already demonstrated that some miRNAs work as tumor suppressors or oncomiRs in colon cancer. Thus, my hypothesis was that overexpressed COX-2 protein in colon cancer could be the result of decreased levels of one or more tumor suppressor miRNAs. In this thesis, I clearly show an inverse correlation between COX-2 expression and the human miR- 101(1) levels in colon cancer cell lines, tissues and metastases. I also demonstrate that the in vitro modulating of miR-101(1) expression in colon cancer cell lines leads to significant variations in COX-2 expression, and this phenomenon is based on a direct interaction between miR-101(1) and COX-2 mRNA. Moreover, I started to investigate miR-101(1) regulation in the hypoxic environment since adaptation to hypoxia is critical for tumor cell growth and survival and it is known that COX-2 can be induced directly by hypoxia-inducible factor 1 (HIF-1). Surprisingly, I observed that COX-2 overexpression induced by hypoxia is always coupled to a significant decrease of miR-101(1) levels in colon cancer cell lines, suggesting that miR-101(1) regulation could be involved in the adaption of cancer cells to the hypoxic environment that strongly characterize CRC tissues.

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Molecular profiling of Peripheral T-cell lymphomas not otherwise specified Peripheral T-cell lymphomas (PTCLs) are a heterogeneous group of tumors that the WHO classification basically subdivides into specified and not otherwise specified (NOS). In Western countries, they represent around 12% of all non-Hodgkin's lymphomas. In particular, PTCL/NOS is the commonest subtype, corresponding to about 60-70% of all T-cell lymphomas. However, it remains a complex entity showing great variety regarding either morphology, immunophenotype or clinical behavior. Specially, the molecular pathology of these tumors is still poorly known. In fact, many alteration were found, but no single genes were demonstrated to have a pathogenetic role. Recently, gene expression profiling (GEP) allowed the identification of PTCL/NOS-associated molecular signatures, leading to better understanding of their histogenesis, pathogenesis and prognostication. Interestingly, proliferation pathways are commonly altered in PTCLs, being highly proliferative cases characterized by poorer prognosis. In this study, we aimed to investigate the possible role in PTCL/NOS pathogenesis of selected molecules, known to be relevant for proliferation control. In particular, we analyzed the cell cycle regulators PTEN and CDKN1B/p27, the NF-kB pathway, and the tyrosin kinase PDGFR. First, we found that PTEN and p27 seem to be regulated in PTCL/NOS as in normal T-lymphocytes, as to what expression and cellular localization are concerned, and do not present structural abnormalities in the vast majority of PTCL/NOS. Secondly, NF-kB pathway appeared to be variably activated in PTCL/NOS. In particular, according to NF-kB gene expression levels, the tumors could be divided into two clusters (C1 and C2). Specially, C1 corresponded to cases presenting with a global down-regulation of the entire pathway, while C2 showed over-expression of genes involved in TNF signaling. Notably, by immunohistochemistry, we showed that either the canonical or the alternative NK-kB pathway were activated in around 40% of cases. Finally, we found PGDFRA to be consistently over-expressed (at mRNA and protein level) and activated in almost all PTCLs/NOS. Noteworthy, when investigating possible causes for PDGFRA deregulation, we had evidences that PDGFR over-expression is due to the absence of miR-152, which appeared to be responsible for PDGFRA silencing in normal T-cells. Furthermore, we could demonstrate that its aberrant activation is sustained by an autocrine loop. Importantly, this is the first case, to the best of our knowledge, of hematological tumor in which tyrosin kinase aberrant activity is determined by deregulated miRNA expression and autocrine loop activation. Taken together, our results provide novel insight in PTCL/NOS pathogenesis by opening new intriguing scenarios for innovative therapeutic interventions.

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Il carcinoma epatocellulare (HCC) è il più frequente tumore maligno del fegato e rappresenta il sesto tipo di tumore più comune nel mondo. Spesso i pazienti con HCC vengono diagnosticati a stadi piuttosto avanzati, quando le uniche opzioni terapeutiche in grado di migliorarne la sopravvivenza sono la chemoembolizzazione dell'arteria epatica ed il trattamento con l'inibitore multi-cinasico, Sorafenib. In questo contesto, la scoperta del ruolo centrale dei microRNA (miRNA) nella tumorigenesi umana risulta di fondamentale importanza per lo sviluppo di nuovi marcatori diagnostici e bersagli terapeutici. I microRNA (miRNA) sono delle piccole molecole di RNA non codificante, della lunghezza di 19-22 nucleotidi, filogeneticamente molto conservati, ed esercitano un ruolo cruciale nella regolazione di importanti processi fisiologici, quali sviluppo, proliferazione, differenziamento, apoptosi e risposta a numerosi segnali extracellulari e di stress. I miRNA sono inoltre responsabile della fine regolazione dell'espressione di centinaia di geni bersaglio attraverso il blocco della traduzione o la degradazione dell'mRNA target. Studi di profiling hanno evidenziato l'espressione aberrante di specifici miRNA in numerosi tipi di tumore umano. Lo scopo del presente lavoro è stato quello di individuare un pannello di miRNA deregolati nell'epatocarcinoma umano e di caratterizzare il ruolo biologico di tre miRNA deregolati nell'HCC, al fine di individuare alcuni dei meccanismi molecolari alla base della trasformazione maligna miRNA-associata. La nostra ricerca è stata inoltre focalizzata nell'individuazione di nuovi bersagli e strumenti terapeutici, quali i microRNA, per il trattamento combinato di HCC in stadio intermedio-avanzato.

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Here I will focus on three main topics that best address and include the projects I have been working in during my three year PhD period that I have spent in different research laboratories addressing both computationally and practically important problems all related to modern molecular genomics. The first topic is the use of livestock species (pigs) as a model of obesity, a complex human dysfunction. My efforts here concern the detection and annotation of Single Nucleotide Polymorphisms. I developed a pipeline for mining human and porcine sequences. Starting from a set of human genes related with obesity the platform returns a list of annotated porcine SNPs extracted from a new set of potential obesity-genes. 565 of these SNPs were analyzed on an Illumina chip to test the involvement in obesity on a population composed by more than 500 pigs. Results will be discussed. All the computational analysis and experiments were done in collaboration with the Biocomputing group and Dr.Luca Fontanesi, respectively, under the direction of prof. Rita Casadio at the Bologna University, Italy. The second topic concerns developing a methodology, based on Factor Analysis, to simultaneously mine information from different levels of biological organization. With specific test cases we develop models of the complexity of the mRNA-miRNA molecular interaction in brain tumors measured indirectly by microarray and quantitative PCR. This work was done under the supervision of Prof. Christine Nardini, at the “CAS-MPG Partner Institute for Computational Biology” of Shangai, China (co-founded by the Max Planck Society and the Chinese Academy of Sciences jointly) The third topic concerns the development of a new method to overcome the variety of PCR technologies routinely adopted to characterize unknown flanking DNA regions of a viral integration locus of the human genome after clinical gene therapy. This new method is entirely based on next generation sequencing and it reduces the time required to detect insertion sites, decreasing the complexity of the procedure. This work was done in collaboration with the group of Dr. Manfred Schmidt at the Nationales Centrum für Tumorerkrankungen (Heidelberg, Germany) supervised by Dr. Annette Deichmann and Dr. Ali Nowrouzi. Furthermore I add as an Appendix the description of a R package for gene network reconstruction that I helped to develop for scientific usage (http://www.bioconductor.org/help/bioc-views/release/bioc/html/BUS.html).

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Introduction – Although imatinib (IM) is a recognized gold standard in chronic myeloid leukemia (CML) therapy, resistance has emerged in a significant proportion of patients. Aim – The aim of this study was: (1) to investigate the role of genetic variants in genes encoding for IM transporters, as candidate of IM responsiveness and (2) to test the influence of miRNAs on IM response, focusing on efflux transporters. Methods – As a first step, a panel of polymorphisms (SNPs) was genotyped in a subgroup population of 189 patients enrolled in the Tyrosine Kinase Inhibitor Optimization and Selectivity (TOPS) trial. The association with cytogenetic response and molecular response (MR) was assessed for each SNP. As a second step, an in vitro IM-resistant model (K-562 CML cell line) was established. miRNAs profiles were analyzed using Taqman arrays and in silico search was performed for miRNAs deregulated after IM treatment. mRNA and protein expression were quantified using TaqMan realtime PCR and Western blotting, respectively. Results – (1) Among Caucasian patients, ABCB1 rs60023214 significantly correlated with complete MR (P = 0.005). Concerning SNPs combination in IM uptake transporters, the associations with treatment outcomes were statistically significant for both major and complete MR (P = 0.005 and P = 0.01, respectively). (2) ABCB1 protein was not expressed under any conditions of treatment, differently from ABCG2. Two deregulated miRNAs, namely miR-212 and miR-328, were identified to be inversely correlated with ABCG2 (r2= 0.57; p=0.03 and r2=0.47; p=0.06, respectively). Experiments of loss and gain of function confirmed the functional influence of these miRNAs on ABCG2. Conclusion – The multiple candidate gene approach identified single and combination of SNPs that can be proposed as predictor of IM response. The in vitro study suggested that IM resistance could be mediated by miRNA-dependent mechanism. Further studies are needed to validate these preliminary findings.

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I linfomi primitivi cutanei riconosciuti nella classificazione della WHO/EORTC si presentano come “entità cliniche distinte” su base clinica, morfologica, immunofenotipica e molecolare. Il fenotipo linfocitario T helper CD4+ caratterizza i CTCL, ma alcune entità a prognosi aggressiva presentano un immunofenotipo citotossico CD8+. Numerosi studi di citogenetica (CGH) e gene-expression profiling (GEP) sono stati condotti negli ultimi anni sui CTCL e sono state riscontrate numerose aberrazioni cromosomiche correlate ai meccanismi di controllo del ciclo cellulare. Scopo del nostro studio è la valutazione delle alterazioni genomiche coinvolte nella tumorigenesi di alcuni CTCL aggressivi: il linfoma extranodale NK/T nasal-type, il linfoma primitivo cutaneo aggressivo epidermotropo (AECTCL) e il gruppo dei PTCL/NOS pleomorfo CD8+. Il materiale bioptico dei pazienti è stato sottoposto alla metodica dell’array-CGH per identificare le anomalie cromosomiche; in alcuni casi di AECTCL è stata applicata la GEP, che evidenzia il profilo di espressione genica delle cellule neoplastiche. I dati ottenuti sono stati valutati in modo statistico, evidenziando le alterazioni cromosomiche comuni significative di ogni entità. In CGH, sono state evidenziate alcune aberrazioni comuni fra le entità studiate, la delezione di 9p21.3, l’amplificazione di 17q, 19p13, 19q13.11-q13.32 , 12q13 e 16p13.3, che determinano la delezione dei geni CDKN2A e CDKN2B e l’attivazione del JAK/STAT signaling pathway. Altre alterazioni definiscono l’amplificazione di c-MYC (8q24) e CCND1/CDK4-6 (11q13). In particolare, sono state evidenziate numerose anomalie genomiche comuni in casi di AECTCL e PTCL/NOS pleomorfo. L’applicazione della GEP in 5 casi di AECTCL ha confermato l’alterata espressione dei geni CDKN2A, JAK3 e STAT6, che potrebbero avere un ruolo diretto nella linfomagenesi. Lo studio di un numero maggiore di casi in GEP e l’introduzione delle nuove indagini molecolari come l’analisi dei miRNA, della whole-exome e whole genome sequences consentiranno di evidenziare alterazioni molecolari correlate con la prognosi, definendo anche nuovi target terapeutici.

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Lo scopo del progetto triennale del dottorato di ricerca è lo studio delle alterazioni genetiche in un gruppo di pazienti affetti da micosi fungoide ed un gruppo di pazienti affetti da sindrome di Sezary. Dalle biopsie cutanee è stato estratto il DNA e analizzato, comparandolo con DNA sano di riferimento, utilizzando la tecnica array-CGH, allo scopo di identificare la presenza di geni potenzialmente implicati nel processo di oncogenesi. Questa analisi è stata eseguita, per ogni paziente, su biopsie effettuate ad una fase iniziale di malattia e ad una fase di progressione della stessa. Sugli stessi pazienti è stata inoltre eseguita un’analisi miRNA. Si ipotizza che il profilo d’espressione dei miRNA possa infatti dare informazioni utili per predire lo stato di malattia, il decorso clinico, la progressione tumorale e la riposta terapeutica. Questo lavoro è stato poi eseguito su biopsie effettuate in pazienti affetti da sindrome di Sezary che, quando non insorge primitivamente come tale, si può considerare una fase evolutiva della micosi fungoide. La valutazione delle alterazioni genetiche, ed in particolare la correlazione esistente tra duplicazione e delezione genetica e sovra/sottoespressione genetica, è stata possibile attraverso l’interpretazione e la comparazione dei dati ottenuti attraverso le tecniche array-CGH e miRNA. Sono stati comparati i risultati ottenuti per valutare quali fossero le alterazioni cromosomiche riscontrate nei diversi stadi di malattia. L’applicazione dell’array-CGH e della metodica di analisi mi-RNA si sono rivelate molto utili per l’identificazione delle diverse aberrazioni cromosomiche presenti nel genoma dei pazienti affetti da micosi fungoide e sindrome di Sezary, per valutare la prognosi del paziente e per cercare di migliorare o trovare nuove linee terapeutiche per il trattamento delle due patologie. Lo studio di questi profili può rappresentare quindi uno strumento di grande importanza nella classificazione e nella diagnosi dei tumori.

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I linfomi a cellule T periferiche rappresentano circa il 12% di tutte le neoplasie linfoidi.In questo studio, abbiamo effettuato un’analisi di miRNA profiling (TaqMan Array MicroRNA Cards A) su 60 campioni FFPE suddivisi in: PTCLs/NOS (N=25), AITLs (N=10), ALCLs (N=12) e cellule T normali (N=13). Abbiamo identificato 4 miRNA differenzialmente espressi tra PTCLs e cellule T normali. Inoltre, abbiamo identificato tre set di mirna che discriminano le tre entita di PTCLs nodali

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It is well known that many realistic mathematical models of biological systems, such as cell growth, cellular development and differentiation, gene expression, gene regulatory networks, enzyme cascades, synaptic plasticity, aging and population growth need to include stochasticity. These systems are not isolated, but rather subject to intrinsic and extrinsic fluctuations, which leads to a quasi equilibrium state (homeostasis). The natural framework is provided by Markov processes and the Master equation (ME) describes the temporal evolution of the probability of each state, specified by the number of units of each species. The ME is a relevant tool for modeling realistic biological systems and allow also to explore the behavior of open systems. These systems may exhibit not only the classical thermodynamic equilibrium states but also the nonequilibrium steady states (NESS). This thesis deals with biological problems that can be treat with the Master equation and also with its thermodynamic consequences. It is organized into six chapters with four new scientific works, which are grouped in two parts: (1) Biological applications of the Master equation: deals with the stochastic properties of a toggle switch, involving a protein compound and a miRNA cluster, known to control the eukaryotic cell cycle and possibly involved in oncogenesis and with the propose of a one parameter family of master equations for the evolution of a population having the logistic equation as mean field limit. (2) Nonequilibrium thermodynamics in terms of the Master equation: where we study the dynamical role of chemical fluxes that characterize the NESS of a chemical network and we propose a one parameter parametrization of BCM learning, that was originally proposed to describe plasticity processes, to study the differences between systems in DB and NESS.

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Il Tumore a Cellule Giganti dell’osso (TCG) è una rara neoplasia che rappresenta il 5% dei tumori di natura ossea; sebbene venga considerato un tumore a decorso benigno può manifestare caratteri di aggressività locale dando origine a recidive locali nel 10-25% dei casi, e nel 2-4% dei casi metastatizza a livello polmonare. In questo studio è stata valutata l’espressione dei miRNA mediante miRNA microarray in 10 pazienti affetti da TCG, 5 con metastasi e 5 liberi da malattia; sono stati riscontrati miRNA differenzialmente espressi tra i 2 gruppi di pazienti e la successiva validazione mediante Real Time PCR ha confermato una differenza significativa per il miR-136 (p=0.04). Mediante analisi bioinformatica con il software TargetScan abbiamo identificato RANK e NF1B come target del miR-136 e ne abbiamo studiato l’espressione mediante Real Time PCR su una più ampia casistica di pazienti affetti da TCG, metastatico e non, evidenziando una maggior espressione di NF1B nel gruppo di pazienti metastatici, mentre RANK non ha dimostrato una differenza significativa. L’analisi di Western Blot ha rilevato una maggiore espressione di entrambe le proteine nei pazienti metastatici rispetto ai non metastatici. Successivamente è stato condotto uno studio di immunoistochimica su TMA di 163 campioni di pazienti affetti da TCG a diverso decorso clinico che ha dimostrato una maggiore e significativa espressione di entrambe i target nei pazienti con metastasi rispetto ai non metastatici; le analisi di popolazione mediante Kaplan-Meier hanno confermato la correlazione tra over-espressione di RANK, NF1B e ricaduta con metastasi (p=0.001 e p<0.0005 rispettivamente). Lo studio di immunoistochimica è stato ampliato alle proteine maggiormente coinvolte nell’osteolisi che risultano avere un significato prognostico; tuttavia mediante analisi di ROC, la co-over-espressione di RANK, RANKL e NF1B rappresenta il migliore modello per predire la comparsa di metastasi (AUC=0.782, p<0.0005).