Association study between functional polymorphisms in the TNF-alpha gene and obsessive-compulsive disorder

Obsessive-compulsive disorder (OCD) is a prevalent psychiatric disorder of unknown etiology. However, there is some evidence that the immune system may play an important role in its pathogenesis. In the present study, two polymorphisms (rs1800795 and rs361525) in the promoter region of the cytokine tumor necrosis factor-alpha (TNFA) gene were genotyped in 183 OCD patients and in 249 healthy controls. The statistical tests were performed using the PLINK (R) software. We found that the A allele of the TNFA rs361525 polymorphism was significantly associated with OCD subjects, according to the allelic x association test (p=0.007). The presence of genetic markers, such as inflammatory cytokines genes linked to OCD, may represent additional evidence supporting the rote of the immune system in its pathogenesis.

Tumor microenvironmental genomic alterations in juvenile nasopharyngeal angiofibroma

Background To better characterize the pathophysiology of juvenile nasopharyngeal angiofibroma (JNA), endothelial and stromal cells were evaluated by genomic imbalances in association with transcript expression levels of genes mapped on these altered regions. Methods. High-resolution comparative genomic hybridization (HR-CGH) was used in laser-captured endothelial and stromal cells from 9 JNAs. Ten genes were evaluated by quantitative real-timereverse transcription polymerase chain reaction (qRT-PCR) in 15 cases. Results. Although gains were more frequently detected in endothelial cells, 57% of chromosomal alterations were common by both components. Gene expression analyses revealed a positive correlation between endothelial and stromal components for ASPM, CDH1, CTNNB1, FGF18, and SUPT16H. A significant difference was found for FGF18 and AURKB overexpression in stromal cells and AR down-expression in endothelial cells. Conclusions. A similar pattern of gene expression and chromosomal imbalances in both exponents would suggest a common mechanism of functional regulation. AURKB, FGF18, and SUPT16H were identified as potential molecular markers in JNA. (C) 2011 Wiley Periodicals, Inc. Head Neck 34: 485-492, 2012

Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE)

Abstract Background An important challenge for transcript counting methods such as Serial Analysis of Gene Expression (SAGE), "Digital Northern" or Massively Parallel Signature Sequencing (MPSS), is to carry out statistical analyses that account for the within-class variability, i.e., variability due to the intrinsic biological differences among sampled individuals of the same class, and not only variability due to technical sampling error. Results We introduce a Bayesian model that accounts for the within-class variability by means of mixture distribution. We show that the previously available approaches of aggregation in pools ("pseudo-libraries") and the Beta-Binomial model, are particular cases of the mixture model. We illustrate our method with a brain tumor vs. normal comparison using SAGE data from public databases. We show examples of tags regarded as differentially expressed with high significance if the within-class variability is ignored, but clearly not so significant if one accounts for it. Conclusion Using available information about biological replicates, one can transform a list of candidate transcripts showing differential expression to a more reliable one. Our method is freely available, under GPL/GNU copyleft, through a user friendly web-based on-line tool or as R language scripts at supplemental web-site.

Evaluation of reference-based two-color methods for measurement of gene expression ratios using spotted cDNA microarrays

Abstract Background Spotted cDNA microarrays generally employ co-hybridization of fluorescently-labeled RNA targets to produce gene expression ratios for subsequent analysis. Direct comparison of two RNA samples in the same microarray provides the highest level of accuracy; however, due to the number of combinatorial pair-wise comparisons, the direct method is impractical for studies including large number of individual samples (e.g., tumor classification studies). For such studies, indirect comparisons using a common reference standard have been the preferred method. Here we evaluated the precision and accuracy of reconstructed ratios from three indirect methods relative to ratios obtained from direct hybridizations, herein considered as the gold-standard. Results We performed hybridizations using a fixed amount of Cy3-labeled reference oligonucleotide (RefOligo) against distinct Cy5-labeled targets from prostate, breast and kidney tumor samples. Reconstructed ratios between all tissue pairs were derived from ratios between each tissue sample and RefOligo. Reconstructed ratios were compared to (i) ratios obtained in parallel from direct pair-wise hybridizations of tissue samples, and to (ii) reconstructed ratios derived from hybridization of each tissue against a reference RNA pool (RefPool). To evaluate the effect of the external references, reconstructed ratios were also calculated directly from intensity values of single-channel (One-Color) measurements derived from tissue sample data collected in the RefOligo experiments. We show that the average coefficient of variation of ratios between intra- and inter-slide replicates derived from RefOligo, RefPool and One-Color were similar and 2 to 4-fold higher than ratios obtained in direct hybridizations. Correlation coefficients calculated for all three tissue comparisons were also similar. In addition, the performance of all indirect methods in terms of their robustness to identify genes deemed as differentially expressed based on direct hybridizations, as well as false-positive and false-negative rates, were found to be comparable. Conclusion RefOligo produces ratios as precise and accurate as ratios reconstructed from a RNA pool, thus representing a reliable alternative in reference-based hybridization experiments. In addition, One-Color measurements alone can reconstruct expression ratios without loss in precision or accuracy. We conclude that both methods are adequate options in large-scale projects where the amount of a common reference RNA pool is usually restrictive.

Global gene expression profiling of oral cavity cancers suggests molecular heterogeneity within anatomic subsites

Abstract Background Oral squamous cell carcinoma (OSCC) is a frequent neoplasm, which is usually aggressive and has unpredictable biological behavior and unfavorable prognosis. The comprehension of the molecular basis of this variability should lead to the development of targeted therapies as well as to improvements in specificity and sensitivity of diagnosis. Results Samples of primary OSCCs and their corresponding surgical margins were obtained from male patients during surgery and their gene expression profiles were screened using whole-genome microarray technology. Hierarchical clustering and Principal Components Analysis were used for data visualization and One-way Analysis of Variance was used to identify differentially expressed genes. Samples clustered mostly according to disease subsite, suggesting molecular heterogeneity within tumor stages. In order to corroborate our results, two publicly available datasets of microarray experiments were assessed. We found significant molecular differences between OSCC anatomic subsites concerning groups of genes presently or potentially important for drug development, including mRNA processing, cytoskeleton organization and biogenesis, metabolic process, cell cycle and apoptosis. Conclusion Our results corroborate literature data on molecular heterogeneity of OSCCs. Differences between disease subsites and among samples belonging to the same TNM class highlight the importance of gene expression-based classification and challenge the development of targeted therapies.

Adjunct effect of the antimicrobial photodynamic therapy to an association of non-surgical and surgical periodontal treatment in modulation of gene expression

Background: This study has evaluated the effect of antimicrobial photodynamic therapy (aPDT) used in conjunction with non-surgical and surgical periodontal treatment (PT) in modulating gene expression during periodontal wound healing. Methods: Fifteen patients with chronic periodontitis, presenting bilaterally lower molars with class III furcation lesions and scheduled for extraction, were selected. In initial therapy, scaling and root planing (SRP) was performed in the Control Group (CG), while SRP + aPDT were performed in the Test Group (TG). 45 days later, flap surgery plus SRP, and flap surgery plus SRP + aPDT were performed in the CG and TG, respectively. At 21 days post-surgery, the newly formed granulation tissue was collected, and Real-time PCR evaluated the expression of the genes: tumor necrosis factor-?, interleukin-1?, interleukin-4, interleukin-10, matrix metalloproteinase-2 (MMP-2), tissue inhibitor of metalloproteinase-2 (TIMP-2), osteoprotegerin (OPG), receptor activator of nuclear factor- ?B ligand (RANKL), type I collagen, alkaline phosphatase, osteopontin, osteocalcin, and bone sialoprotein. Results: There were statistically significant differences between the groups in relation to mRNA levels for MMP-2 (TG = 3.26 ± 0.89; CG = 4.23 ± 0.97; p = 0.01), TIMP-2/MMP-2 ratio (TG = 0.91 ± 0.34; CG = 0.73 ± 0.32; p = 0.04), OPG (TG = 0.84 ± 0.45; CG = 0.30 ± 0.26; p = 0.001), and OPG/RANKL ratio (TG = 0.60 ± 0.86; CG = 0.23 ± 0.16; p = 0.04), favoring the TG. Conclusion: The present data suggest that the aPDT associated to nonsurgical and surgical periodontal therapy may modulate the extracellular matrix and bone remodeling by up regulating the TIMP- 2/MMP-2 and OPG/RANKL mRNA ratio, but the clinical relevance needs to be evaluated in further studies.

Independent of ErbB1 gene copy number, EGF stimulates migration but is not associated with cell proliferation in non-small cell lung cancer

Abstract Background Lung cancer often exhibits molecular changes, such as the overexpression of the ErbB1 gene. ErbB1 encodes epidermal growth factor receptor (EGFR), a tyrosine kinase receptor, involved mainly in cell proliferation and survival. EGFR overexpression has been associated with more aggressive disease, poor prognosis, low survival rate and low response to therapy. ErbB1 amplification and mutation are associated with tumor development and are implicated in ineffective treatment. The aim of the present study was to investigate whether the ErbB1 copy number affects EGFR expression, cell proliferation or cell migration by comparing two different cell lines. Methods The copies of ErbB1 gene was evaluated by FISH. Immunofluorescence and Western blotting were performed to determine location and expression of proteins mentioned in the present study. Proliferation was studied by flow cytometry and cell migration by wound healing assay and time lapse. Results We investigated the activation and function of EGFR in the A549 and HK2 lung cancer cell lines, which contain 3 and 6 copies of ErbB1, respectively. The expression of EGFR was lower in the HK2 cell line. EGFR was activated after stimulation with EGF in both cell lines, but this activation did not promote differences in cellular proliferation when compared to control cells. Inhibiting EGFR with AG1478 did not modify cellular proliferation, confirming previous data. However, we observed morphological alterations, changes in microfilament organization and increased cell migration upon EGF stimulation. However, these effects did not seem to be consequence of an epithelial-mesenchymal transition. Conclusion EGFR expression did not appear to be associated to the ErbB1 gene copy number, and neither of these aspects appeared to affect cell proliferation. However, EGFR activation by EGF resulted in cell migration stimulation in both cell lines.

Inibizione selettiva del gene MYCN mediante PNA (acidi peptido nucleici) anti-gene nel rabdomiosarcoma umano

MYCN oncogene amplification/expression is a feature of many childhood tumors, and some adult tumors, and it is associated with poor prognosis. While MYC expression is ubiquitary, MYCN has a restricted expression after birth and it is an ideal target for an effective therapy. PNAs belong to the latest class of nucleic acid-based therapeutics, and they can bind chromosomal DNA and block gene transcription (anti-gene activity). We have developed an anti-gene PNA that targets specifically the MYCN gene to block its transcription. We report for the first time MYCN targeted inhibition in Rhabdomyosarcoma (RMS) by the anti-MYCN-PNA in RMS cell lines (four ARMS and four ERMS) and in a xenograft RMS mouse model. Rhabdomyosarcoma is the most common pediatric soft-tissue sarcoma, comprising two main subgroups [Alveolar (ARMS) and Embryonal (ERMS)]. ARMS is associated with a poorer prognosis. MYCN amplification is a feature of both the ERMS and ARMS, but the MYCN amplification and expression levels shows a significant correlation and are greater in ARMS, in which they are associated with adverse outcome. We found that MYCN mRNA and protein levels were higher in the four ARMS (RH30, RH4, RH28 and RMZ-RC2) than in the four ERMS (RH36, SMS-CTR, CCA and RD) cell lines. The potent inhibition of MYCN transcription was highly specific, it did not affect the MYC expression, it was followed by cell-growth inhibition in the RMS cell lines which correlated with the MYCN expression rate, and it led to complete cell-growth inhibition in ARMS cells. We used a mutated- PNA as control. MYCN silencing induced apoptosis. Global gene expression analysis (Affymetrix microarrays) in ARMS cells treated with the anti-MYCN-PNA revealed genes specifically induced or repressed, with both genes previously described as targets of N-myc or Myc, and new genes undescribed as targets of N-myc or Myc (mainly involved in cell cycle, apoptosis, cell motility, metastasis, angiogenesis and muscle development). The changes in the expression of the most relevant genes were confirmed by Real-Time PCR and western blot, and their expression after the MYCN silencing was evaluated in the other RMS cell lines. The in vivo study, using an ARMS xenograft murine model evaluated by micro-PET, showed a complete elimination of the metabolic tumor signal in most of the cases (70%) after anti-MYCN-PNA treatment (without toxicity), whereas treatment with the mutated-PNA had no effect. Our results strongly support the development of MYCN anti-gene therapy for the treatment of RMS, particularly for poor prognosis ARMS, and of other MYCN-expressing tumors.

New approaches to open problems in gene expression microarray data

In the past decade, the advent of efficient genome sequencing tools and high-throughput experimental biotechnology has lead to enormous progress in the life science. Among the most important innovations is the microarray tecnology. It allows to quantify the expression for thousands of genes simultaneously by measurin the hybridization from a tissue of interest to probes on a small glass or plastic slide. The characteristics of these data include a fair amount of random noise, a predictor dimension in the thousand, and a sample noise in the dozens. One of the most exciting areas to which microarray technology has been applied is the challenge of deciphering complex disease such as cancer. In these studies, samples are taken from two or more groups of individuals with heterogeneous phenotypes, pathologies, or clinical outcomes. these samples are hybridized to microarrays in an effort to find a small number of genes which are strongly correlated with the group of individuals. Eventhough today methods to analyse the data are welle developed and close to reach a standard organization (through the effort of preposed International project like Microarray Gene Expression Data -MGED- Society [1]) it is not unfrequant to stumble in a clinician's question that do not have a compelling statistical method that could permit to answer it.The contribution of this dissertation in deciphering disease regards the development of new approaches aiming at handle open problems posed by clinicians in handle specific experimental designs. In Chapter 1 starting from a biological necessary introduction, we revise the microarray tecnologies and all the important steps that involve an experiment from the production of the array, to the quality controls ending with preprocessing steps that will be used into the data analysis in the rest of the dissertation. While in Chapter 2 a critical review of standard analysis methods are provided stressing most of problems that In Chapter 3 is introduced a method to adress the issue of unbalanced design of miacroarray experiments. In microarray experiments, experimental design is a crucial starting-point for obtaining reasonable results. In a two-class problem, an equal or similar number of samples it should be collected between the two classes. However in some cases, e.g. rare pathologies, the approach to be taken is less evident. We propose to address this issue by applying a modified version of SAM [2]. MultiSAM consists in a reiterated application of a SAM analysis, comparing the less populated class (LPC) with 1,000 random samplings of the same size from the more populated class (MPC) A list of the differentially expressed genes is generated for each SAM application. After 1,000 reiterations, each single probe given a "score" ranging from 0 to 1,000 based on its recurrence in the 1,000 lists as differentially expressed. The performance of MultiSAM was compared to the performance of SAM and LIMMA [3] over two simulated data sets via beta and exponential distribution. The results of all three algorithms over low- noise data sets seems acceptable However, on a real unbalanced two-channel data set reagardin Chronic Lymphocitic Leukemia, LIMMA finds no significant probe, SAM finds 23 significantly changed probes but cannot separate the two classes, while MultiSAM finds 122 probes with score >300 and separates the data into two clusters by hierarchical clustering. We also report extra-assay validation in terms of differentially expressed genes Although standard algorithms perform well over low-noise simulated data sets, multi-SAM seems to be the only one able to reveal subtle differences in gene expression profiles on real unbalanced data. In Chapter 4 a method to adress similarities evaluation in a three-class prblem by means of Relevance Vector Machine [4] is described. In fact, looking at microarray data in a prognostic and diagnostic clinical framework, not only differences could have a crucial role. In some cases similarities can give useful and, sometimes even more, important information. The goal, given three classes, could be to establish, with a certain level of confidence, if the third one is similar to the first or the second one. In this work we show that Relevance Vector Machine (RVM) [2] could be a possible solutions to the limitation of standard supervised classification. In fact, RVM offers many advantages compared, for example, with his well-known precursor (Support Vector Machine - SVM [3]). Among these advantages, the estimate of posterior probability of class membership represents a key feature to address the similarity issue. This is a highly important, but often overlooked, option of any practical pattern recognition system. We focused on Tumor-Grade-three-class problem, so we have 67 samples of grade I (G1), 54 samples of grade 3 (G3) and 100 samples of grade 2 (G2). The goal is to find a model able to separate G1 from G3, then evaluate the third class G2 as test-set to obtain the probability for samples of G2 to be member of class G1 or class G3. The analysis showed that breast cancer samples of grade II have a molecular profile more similar to breast cancer samples of grade I. Looking at the literature this result have been guessed, but no measure of significance was gived before.

Transcriptional functions of DNA Topoisomerases at a genome-wide scale and a single gene levels

The DNA topology is an important modifier of DNA functions. Torsional stress is generated when right handed DNA is either over- or underwound, producing structural deformations which drive or are driven by processes such as replication, transcription, recombination and repair. DNA topoisomerases are molecular machines that regulate the topological state of the DNA in the cell. These enzymes accomplish this task by either passing one strand of the DNA through a break in the opposing strand or by passing a region of the duplex from the same or a different molecule through a double-stranded cut generated in the DNA. Because of their ability to cut one or two strands of DNA they are also target for some of the most successful anticancer drugs used in standard combination therapies of human cancers. An effective anticancer drug is Camptothecin (CPT) that specifically targets DNA topoisomerase 1 (TOP 1). The research project of the present thesis has been focused on the role of human TOP 1 during transcription and on the transcriptional consequences associated with TOP 1 inhibition by CPT in human cell lines. Previous findings demonstrate that TOP 1 inhibition by CPT perturbs RNA polymerase (RNAP II) density at promoters and along transcribed genes suggesting an involvement of TOP 1 in RNAP II promoter proximal pausing site. Within the transcription cycle, promoter pausing is a fundamental step the importance of which has been well established as a means of coupling elongation to RNA maturation. By measuring nascent RNA transcripts bound to chromatin, we demonstrated that TOP 1 inhibition by CPT can enhance RNAP II escape from promoter proximal pausing site of the human Hypoxia Inducible Factor 1 (HIF-1) and c-MYC genes in a dose dependent manner. This effect is dependent from Cdk7/Cdk9 activities since it can be reversed by the kinases inhibitor DRB. Since CPT affects RNAP II by promoting the hyperphosphorylation of its Rpb1 subunit the findings suggest that TOP 1inhibition by CPT may increase the activity of Cdks which in turn phosphorylate the Rpb1 subunit of RNAP II enhancing its escape from pausing. Interestingly, the transcriptional consequences of CPT induced topological stress are wider than expected. CPT increased co-transcriptional splicing of exon1 and 2 and markedly affected alternative splicing at exon 11. Surprisingly despite its well-established transcription inhibitory activity, CPT can trigger the production of a novel long RNA (5’aHIF-1) antisense to the human HIF-1 mRNA and a known antisense RNA at the 3’ end of the gene, while decreasing mRNA levels. The effects require TOP 1 and are independent from CPT induced DNA damage. Thus, when the supercoiling imbalance promoted by CPT occurs at promoter, it may trigger deregulation of the RNAP II pausing, increased chromatin accessibility and activation/derepression of antisense transcripts in a Cdks dependent manner. A changed balance of antisense transcripts and mRNAs may regulate the activity of HIF-1 and contribute to the control of tumor progression After focusing our TOP 1 investigations at a single gene level, we have extended the study to the whole genome by developing the “Topo-Seq” approach which generates a map of genome-wide distribution of sites of TOP 1 activity sites in human cells. The preliminary data revealed that TOP 1 preferentially localizes at intragenic regions and in particular at 5’ and 3’ ends of genes. Surprisingly upon TOP 1 downregulation, which impairs protein expression by 80%, TOP 1 molecules are mostly localized around 3’ ends of genes, thus suggesting that its activity is essential at these regions and can be compensate at 5’ ends. The developed procedure is a pioneer tool for the detection of TOP 1 cleavage sites across the genome and can open the way to further investigations of the enzyme roles in different nuclear processes.

Comparative genomic sequencing analysis of a region in human chromosome 11p15.3, mouse chromosome 7 and analysis of the novel STK33, Stk33 gene

The comparative genomic sequence analysis of a region in human chromosome 11p15.3 and its homologous segment in mouse chromosome 7 between ST5 and LMO1 genes has been performed. 158,201 bases were sequenced in the mouse and compared with the syntenic region in human, partially available in the public databases. The analysed region exhibits the typical eukaryotic genomic structure and compared with the close neighbouring regions, strikingly reflexes the mosaic pattern distribution of (G+C) and repeats content despites its relative short size. Within this region the novel gene STK33 was discovered (Stk33 in the mouse), that codes for a serine/threonine kinase. The finding of this gene constitutes an excellent example of the strength of the comparative sequencing approach. Poor gene-predictions in the mouse genomic sequence were corrected and improved by the comparison with the unordered data from the human genomic sequence publicly available. Phylogenetical analysis suggests that STK33 belongs to the calcium/calmodulin-dependent protein kinases group and seems to be a novelty in the chordate lineage. The gene, as a whole, seems to evolve under purifying selection whereas some regions appear to be under strong positive selection. Both human and mouse versions of serine/threonine kinase 33, consists of seventeen exons highly conserved in the coding regions, particularly in those coding for the core protein kinase domain. Also the exon/intron structure in the coding regions of the gene is conserved between human and mouse. The existence and functionality of the gene is supported by the presence of entries in the EST databases and was in vivo fully confirmed by isolating specific transcripts from human uterus total RNA and from several mouse tissues. Strong evidence for alternative splicing was found, which may result in tissue-specific starting points of transcription and in some extent, different protein N-termini. RT-PCR and hybridisation experiments suggest that STK33/Stk33 is differentially expressed in a few tissues and in relative low levels. STK33 has been shown to be reproducibly down-regulated in tumor tissues, particularly in ovarian tumors. RNA in-situ hybridisation experiments using mouse Stk33-specific probes showed expression in dividing cells from lung and germinal epithelium and possibly also in macrophages from kidney and lungs. Preliminary experimentation with antibodies designed in this work, performed in parallel to the preparation of this manuscript, seems to confirm this expression pattern. The fact that the chromosomal region 11p15 in which STK33 is located may be associated with several human diseases including tumor development, suggest further investigation is necessary to establish the role of STK33 in human health.

Transcriptional regulation and functional characterization of the tumor suppressor genes Hugl-1 and Hugl-2

Cancer is a multi-step process in which both the activation of oncogenes and the inactivation of tumor suppressor genes alter the normal cellular programs to a state of proliferation and growth. The regulation of a number of tumor suppressor genes and the mechanism underlying the tumor suppression have been intensively studied. Hugl-1 and Hugl-2, the human homologues of Drosophila lgl are shown to be down-regulated in a variety of cancers including breast, colon, lung and melanoma, but the mechanism responsible for loss of expression is not yet known. The regulation of gene expression is influenced by factors inducing or repressing transcription. The present study was focused on the identification and characterization of the active promoters of Hugl-1 and Hugl-2. Further, the regulation of the promoter and functional consequences of this regulation by specific transcription factors was analyzed. Experiments to delineate the function of the mouse homologue of Hugl-2, mgl2 using transgenic mice model were performed. This study shows that the active promoter for both Hugl-1 and Hugl-2 is located 1000bp upstream of transcription start sites. The study also provides first insight into the regulation of Hugl-2 by an important EMT transcriptional regulator, Snail. Direct binding of Snail to four E-boxes present in Hugl-2 promoter region results in repression of Hugl-2 expression. Hugl-1 and Hugl-2 plays pivotal role in establishment and maintenance of cell polarity in a diversity of cell types and organisms. Loss of epithelial cell polarity is a prerequisite for cancer progression and metastasis and is an important step in inducing EMT in cells. Regulation of Hugl-2 by Snail suggests one of the initial events towards loss of epithelial cell polarity during Snail-mediated EMT. Another important finding of this study is the induction of Hugl-2 expression can reverse the Snail-driven EMT. Inducing Hugl-2 in Snail expressing cells results in the re-expression of epithelial markers E-cadherin and Cytokeratin-18. Further, Hugl-2 also reduces the rate of tumor growth, cell migration and induces the epithelial phenotype in 3D culture model in cells expressing Snail. Studies to gain insight into the signaling pathways involved in reversing Snail-mediated EMT revealed that induction of Hugl-2 expression interferes with the activation of extracellular receptor kinase, Erk. Functional aspects of mammalian lgl in vivo was investigated by establishing mgl2 conditional knockout mice. Though disruption of mgl2 gene in hepatic tissues did not alter the growth and development, ubiquitous disruption of mgl2 gene causes embryonic lethality which is evident by the fact that no mgl2-/- mice were born.

Komparative Analyse der humanen Chromosomenregion 11p15.3 um die Gene LMO1,TUB und der orthologen Region in der Maus

Ziel der vorliegenden Arbeit war die vergleichende Sequenzierung und nachfolgende Analyse des syntänen chromosomalen Abschnitts auf dem kurzen Arm des humanen Chromosoms 11 in der Region 11p15.3 mit den Genen LMO1, TUB und dem orthologen Genomabschnitt der Maus auf Chromosom 7 F2. Die im Rahmen dieser Arbeit durchgeführte Kartierung dieser beiden chromosomalen Bereiche ermöglichte die Komplettierung einer genomischen Karte auf insgesamt über eine Megabase, die im Kooperationssequenzierprojekt der Universitäts-Kinderklinik und dem Institut für Molekulargenetik in Mainz erstellt wurde. Mit Hilfe von 28 PAC- und Cosmid-Klonen konnten in dieser Arbeit 383 kb an genomischer DNA des Menschen und mit sechs BAC- und PAC-Klonen 412 kb an genomischer DNA der Maus dargestellt werden. Dies ermöglichte erstmals die exakte Festlegung der Reihenfolge der in diesem chromosomalen Abschnitt enthaltenen Gene und die genaue Kartierung von acht STS-Markern des Menschen, bzw. vier STS-Sonden der Maus. Es zeigte sich dabei, dass die chromosomale Orientierung telomer-/centromerwärts des orthologen Bereichs in der Maus im Vergleich zum Menschen in invertierter Ausrichtung vorliegt. Die Sequenzierung von drei humanen Klonen ermöglichte die Bestimmung von 319.119 bp an zusammenhängender genomischer DNA. Dadurch konnte die genaue Lokalisation und Strukturaufklärung der Gene LMO1, ein putatives Tumorsuppressorgen, das mit der Entstehung von Leukämien assoziiert ist, und TUB, ein Transkriptionsmodulator, der in die Fettstoffwechselregulation involviert ist, vorgenommen werden. Für das murine Genom wurden 412.827 bp an neuer DNA-Sequenz durch Sequenzierung von ebenfalls drei Klonen generiert. Der im Vergleich zum Menschen ca. 100 kb größere Genombereich beinhaltete zudem die neuen Gene Stk33 und Eif3. Es handelte sich dabei um zwei Gene, die erst im Rahmen dieser Arbeit entdeckt und charakterisiert wurden. Die parallele Bearbeitung beider Genombereiche ermöglichte eine umfassende komparative Analyse nach kodierenden, funktionellen und strukturgebenden Sequenzabschnitten in beiden Spezies. Es konnten dabei für beide Organismen die Exon-Intron-Strukturen der Gene LMO1/Lmo1 und TUB/Tub geklärt. Zudem konnten vier neue Exons und zwei neue speziesspezifischer Spleißvarianten für TUB/Tub beschrieben werden. Die Identifizierung dieser neuen Spleißvarianten offenbart neue Möglichkeiten für alternative Regulation und Funktion, oder für eine veränderte Proteinstruktur, die weitere Erklärungsansätze für die Entstehung der mit diesen Genen assoziierten Erkrankungen zulässt. In der sequenzierten, größeren Genomsequenz der Maus konnte in den flankierenden, nicht mit der sequenzierten Humansequenz überlappenden Bereich das neue Gen Eif3 in seiner Exon-Intron-Struktur und die beiden letzten Exons 11 und 12 des Gens Stk33 kartiert und charakterisiert werden. Die umfangreiche Sequenzanalyse beider sequenzierter Genombereiche ergab für den Abschnitt des Menschen insgesamt 229 potentielle Exonsequenzen und für den Bereich der Maus 527 mögliche Exonbereiche. Davon konnten beim Menschen explizit 21 Exons und bei der Maus 31 Exons als exprimierte Bereiche identifiziert und experimentell mittels RT-PCR, bzw. durch cDNA-Sequenzierung verifiziert werden. Diese Abschnitte beschrieben nicht nur die Exonbereiche der oben genannten vier Gene, sondern konnten auch neuen nicht weiter definierten EST-Sequenzen zugeordnet werden. Mittels des Interspeziesvergleiches war darüber hinaus auch die Analyse der nichtkodierenden Intergen-Bereiche möglich. So konnten beispielsweise im ersten Intron des LMO1/Lmo1 sieben Sequenzbereiche mit Konservierungen von ca. 90% bestimmt werden. Auch die Charakterisierung von Promotor- und putativ regulatorischen Sequenzabschnitten konnte mit Hilfe unterschiedlicher bioinformatischer Analyse-Tools durchgeführt werden. Die konservierten Sequenzbereiche der DNA zeigen im Durchschnitt eine Homologie von mehr als 65% auf. Auch die Betrachtung der Genomorganisation zeigte Gemeinsamkeiten, die sich meist nur in ihrer graduellen Ausprägung unterschieden. So weist ein knapp 80 kb großer Bereich proximal zum humanen TUB-Gen einen deutlich erhöhten AT-Gehalt auf, der ebenso im murinen Genom nur in verkürzter Version und schwächer ausgeprägt in Erscheinung tritt. Die zusätzliche Vergleichsanalyse mit einer weiteren Spezies, den orthologen Genomabschnitten von Fugu, zeigte, dass es sich bei den untersuchten Genen LMO1 und TUB um sehr konservierte und evolutiv alte Gene handelt, deren genomisches Organisationsmuster sich auch bei den paralogen Genfamilienmitglieder innerhalb derselben Spezies wiederfindet. Insgesamt konnte durch die Kartierung, Sequenzierung und Analyse eine umfassende Datenbasis für die betrachtete Genomregion und die beschriebenen Gene generiert werden, die für zukünftige Untersuchungen und Fragestellungen wertvolle Informationen bereithält.

IGF system, CD99 and tumor-specific chromosomal translocations: evaluation of their cross-talk and definition of their role in Ewing sarcoma and prostate cancer

Aberrant expression of ETS transcription factors, including FLI1 and ERG, due to chromosomal translocations has been described as a driver event in initiation and progression of different tumors. In this study, the impact of prostate cancer (PCa) fusion gene TMPRSS2-ERG was evaluated on components of the insulin-like growth factor (IGF) system and the CD99 molecule, two well documented targets of EWS-FLI1, the hallmark of Ewing sarcoma (ES). The aim of this study was to identify common or distinctive ETS-related mechanisms which could be exploited at biological and clinical level. The results demonstrate that IGF-1R represents a common target of ETS rearrangements as ERG and FLI1 bind IGF-1R gene promoter and their modulation causes alteration in IGF-1R protein levels. At clinical level, this mechanism provides basis for a more rationale use of anti-IGF-1R inhibitors as PCa cells expressing the fusion gene better respond to anti-IGF-1R agents. EWS-FLI1/IGF-1R axis provides rationale for combination of anti-IGF-1R agents with trabectedin, an alkylator agent causing enhanced EWS-FLI1 occupancy on the IGF-1R promoter. TMPRSS2-ERG also influences prognosis relevance of IGF system as high IGF-1R correlates with a better biochemical progression free survival (BPFS) in PCa patients negative for the fusion gene while marginal or no association was found in the total cases or TMPRSS2-ERG-positive cases, respectively. This study indicates CD99 is differentially regulated between ETS-related tumors as CD99 is not a target of ERG. In PCa, CD99 did not show differential expression between TMPRSS2-ERG-positive and –negative cells. A direct correlation was anyway found between ERG and CD99 proteins both in vitro and in patients putatively suggesting that ERG target genes comprehend regulators of CD99. Despite a little trend suggesting a correlation between CD99 expression and a better BPFS, no clinical relevance for CD99 was found in the field of prognostic biomarkers.

Die Rolle von Chemokinrezeptor CXCR4 und Connective Tissue Growth Factor innerhalb der Tumor-Stroma-Interaktion in der akuten myeloischen Leukämie

Die akute myeloische Leukämie (AML) ist eine heterogene Erkrankung der hämatopoetischen Vorläuferzelle, die durch unkontrollierte Vermehrung und ein reduziertes Differenzierungsverhalten gekennzeichnet ist. Aufgrund von Therapieresistenzen und häufig vorkommenden Rückfällen ist die AML mit einer schlechten Langzeitprognose verbunden. Neue Studienergebnisse zeigen, dass leukämische Zellen einer hierarchischen Ordnung unterliegen, an deren Spitze die leukämische Stammzelle (LSC) steht, welche den Tumor speist und ähnliche Charakteristika besitzt wie die hämatopoetische Stammzelle. Die LSC nutzt den Kontakt zu Zellen der hämatopoetischen Nische des Knochenmarks, um die erste Therapie zu überdauern und Resistenzen zu erwerben. Neue Therapieansätze versuchen diese Interaktion zwischen leukämischen Zellen und supportiv wirkenden Stromazellen anzugreifen. rnrnIn dieser Arbeit sollte die Bedeutung des CXC-Motiv Chemokinrezeptors Typ 4 (CXCR4) und des Connective Tissue Growth Factors (CTGF) innerhalb der AML-Stroma-Interaktion untersucht werden. CXCR4, der in vivo dafür sorgt, dass AML-Zellen in der Nische gehalten und geschützt werden, wurde durch den neuwertigen humanen CXCR4-spezifischen Antikörper BMS-936564/MDX-1338 in AML-Zelllinien und Patientenzellen in Zellkulturversuchen blockiert. Dies induzierte Apoptose sowie Differenzierung und führte in Kokulturversuchen zu einer Aufhebung des Stroma-vermittelten Schutzes gegenüber der Chemotherapie. Für diese Effekte musste teilweise ein sekundärer Antikörper verwendet werden, der die CXCR4-Moleküle miteinander kreuzvernetzt.rnDie Auswertung eines quantitativen Real time PCR (qPCR)-Arrays ergab, dass CTGF in der AML-Zelllinie Molm-14 nach Kontakt zu Stromazellen hochreguliert wird. Diese Hochregulation konnte in insgesamt drei AML-Zelllinien sowie in drei Patientenproben in qPCR- und Western Blot-Versuchen bestätigt werden. Weitere Untersuchungen zeigten, dass diese Hochregulation (i) unabhängig von der Stromazelllinie ist, (ii) den direkten Kontakt zum Stroma benötigt und (iii) auch unter hypoxischen Bedingungen, wie sie innerhalb des Knochenmarks vorherrschen, stattfindet. Der durch Zell-Zell- oder Zell-Matrix-Kontakt gesteuerte Hippo-Signalweg konnte aus folgenden Gründen als möglicher upstream-Regulationsmechanismus identifiziert werden: (i) Dessen zentraler Transkriptions-Kofaktor TAZ wurde in kokultivierten Molm-14-Zellen stabilisiert, (ii) der shRNA-gesteuerte Knockdown von TAZ führte zu einer reduzierten CTGF-Hochregulation, (iii) CTGF wurde in Abhängigkeit von der Zelldichte reguliert, (iv) Cysteine-rich angiogenic inducer 61 (Cyr61), ein weiteres Zielgen von TAZ, wurde in kokultivierten AML-Zellen ebenfalls verstärkt exprimiert. Der Knockdown von CTGF führte in vitro zu einer partiellen Aufhebung der Stroma-vermittelten Resistenz und die Blockierung von CTGF durch den Antikörper FG-3019 wirkte im AML-Mausmodell lebensverlängernd. rn rnDie Rolle von CTGF in der AML ist bisher nicht untersucht. Die vorliegenden Ergebnisse zeigen, dass CTGF ein interessantes Therapieziel in der AML darstellt. Es bedarf weiterer Untersuchungen, um die Bedeutung von CTGF in der Tumor-Stroma-Interaktion näher zu charakterisieren und nachgeschaltete Signalwege zu identifizieren.