Clinicopathological and molecular characterization of gastroesophageal junction (GEJ) adenocarcinoma before age of 40 years

Gastroesophageal junction (GEJ) adenocarcinoma are uncommon before age of 40 years. While certain clinical, pathological and molecular features of GEJ adenocarcinoma in older patients have been extensively studied, these characteristics in the younger population remain to be determined. In the recent literature, a high sensitivity and specificity for the detection of dysplasia and esophageal adenocarcinoma was demonstrated by using multicolor fluorescence in situ hybridization (FISH) DNA probe set specific for the locus specific regions 9p21 (p16), 20q13.2 and Y chromosome. We evaluated 663 patients with GEJ adenocarcinoma and further divided them into 2 age-groups of and >or= 50 years, rispectively. FISH with selected DNA probe for Y chromosome, locus 9p21 (p16), and locus 20q13.2 was investigated with formalin fixed and parassin embedded tissue from surgical resections of 17 younger and 11 older patients. Signals were counted in > 100 cells with each given histopathological category. The chromosomal aberrations were then compared in the 2 age-groups with the focus on uninvolved squamous and columnar epithelium, intestinal metaplasia (Barrett's mucosa), glandular dysplasia, and adenocarcinoma. Comparisons were performed by the X2 test, Fisher's exact test, Student's t-test and Mann-Whitney U-test as appropriate. Survival was estimated by the Kaplan-Meier method with univariate analysis by the log-rank. Significance was taken at the 5% level. There was no difference in the surgical technique applied in both age groups and most patients underwent Ivor Lewis esophagectomy. Among clinical variables there was a higher incidence of smocking history in older patient group. We identified a progressive loss of Y chromosome from benign squamos epithelium to Barrett's mucosa and glandular dysplasia, and, ultimately, to a near complete loss in adenocarcinoma in both age groups. The young group revealed significantly more losses of 9p21 in both benign and neoplastic cells when compared to the older patients group. In addition, we demonstrated an increase in the percentage of cells showing gain of locus 20q13.2 with progression from benign epithelium through dysplasia to adenocarcinoma with almost the same trend in both the young and the older patients. When compared with the older age-group, younger patients with GEJ adenocarcinoma possess similar known demographics, environmental factors, clinical, and pathologic characteristics. The most commonly detected genetic aberrations of progressive Y chromosomal loss, 9p21 locus loss, and 20q13 gains were similar in the younger and older patients. However the rate of loss of 9p21 is significantly higher in young patients, in both the benign and the neoplastic cells. The loss of 9p21, and possibly, the subsequent inactivation of p16 gene may be one of the molecular mechanisms responsible for the accelerated neoplastic process in young patients.

Seizure prediction and control in epilepsy

The first part of my thesis presents an overview of the different approaches used in the past two decades in the attempt to forecast epileptic seizure on the basis of intracranial and scalp EEG. Past research could reveal some value of linear and nonlinear algorithms to detect EEG features changing over different phases of the epileptic cycle. However, their exact value for seizure prediction, in terms of sensitivity and specificity, is still discussed and has to be evaluated. In particular, the monitored EEG features may fluctuate with the vigilance state and lead to false alarms. Recently, such a dependency on vigilance states has been reported for some seizure prediction methods, suggesting a reduced reliability. An additional factor limiting application and validation of most seizure-prediction techniques is their computational load. For the first time, the reliability of permutation entropy [PE] was verified in seizure prediction on scalp EEG data, contemporarily controlling for its dependency on different vigilance states. PE was recently introduced as an extremely fast and robust complexity measure for chaotic time series and thus suitable for online application even in portable systems. The capability of PE to distinguish between preictal and interictal state has been demonstrated using Receiver Operating Characteristics (ROC) analysis. Correlation analysis was used to assess dependency of PE on vigilance states. Scalp EEG-Data from two right temporal epileptic lobe (RTLE) patients and from one patient with right frontal lobe epilepsy were analysed. The last patient was included only in the correlation analysis, since no datasets including seizures have been available for him. The ROC analysis showed a good separability of interictal and preictal phases for both RTLE patients, suggesting that PE could be sensitive to EEG modifications, not visible on visual inspection, that might occur well in advance respect to the EEG and clinical onset of seizures. However, the simultaneous assessment of the changes in vigilance showed that: a) all seizures occurred in association with the transition of vigilance states; b) PE was sensitive in detecting different vigilance states, independently of seizure occurrences. Due to the limitations of the datasets, these results cannot rule out the capability of PE to detect preictal states. However, the good separability between pre- and interictal phases might depend exclusively on the coincidence of epileptic seizure onset with a transition from a state of low vigilance to a state of increased vigilance. The finding of a dependency of PE on vigilance state is an original finding, not reported in literature, and suggesting the possibility to classify vigilance states by means of PE in an authomatic and objectic way. The second part of my thesis provides the description of a novel behavioral task based on motor imagery skills, firstly introduced (Bruzzo et al. 2007), in order to study mental simulation of biological and non-biological movement in paranoid schizophrenics (PS). Immediately after the presentation of a real movement, participants had to imagine or re-enact the very same movement. By key release and key press respectively, participants had to indicate when they started and ended the mental simulation or the re-enactment, making it feasible to measure the duration of the simulated or re-enacted movements. The proportional error between duration of the re-enacted/simulated movement and the template movement were compared between different conditions, as well as between PS and healthy subjects. Results revealed a double dissociation between the mechanisms of mental simulation involved in biological and non-biologial movement simulation. While for PS were found large errors for simulation of biological movements, while being more acurate than healthy subjects during simulation of non-biological movements. Healthy subjects showed the opposite relationship, making errors during simulation of non-biological movements, but being most accurate during simulation of non-biological movements. However, the good timing precision during re-enactment of the movements in all conditions and in both groups of participants suggests that perception, memory and attention, as well as motor control processes were not affected. Based upon a long history of literature reporting the existence of psychotic episodes in epileptic patients, a longitudinal study, using a slightly modified behavioral paradigm, was carried out with two RTLE patients, one patient with idiopathic generalized epilepsy and one patient with extratemporal lobe epilepsy. Results provide strong evidence for a possibility to predict upcoming seizures in RTLE patients behaviorally. In the last part of the thesis it has been validated a behavioural strategy based on neurobiofeedback training, to voluntarily control seizures and to reduce there frequency. Three epileptic patients were included in this study. The biofeedback was based on monitoring of slow cortical potentials (SCPs) extracted online from scalp EEG. Patients were trained to produce positive shifts of SCPs. After a training phase patients were monitored for 6 months in order to validate the ability of the learned strategy to reduce seizure frequency. Two of the three refractory epileptic patients recruited for this study showed improvements in self-management and reduction of ictal episodes, even six months after the last training session.

New materials for electrochemiluminescence

The study of electrochemiluminescence (ECL) involves photophysical and electrochemical aspects. Excited states are populated by an electrical stimulus. The most important applications are in the diagnostic field where a number of different biologically-relevant molecules (e.g. proteins and nucleic acids) can be recognized and quantified with a sensitivity and specificity previously not reachable. As a matter of fact the electrochemistry, differently to the classic techniques as fluorescence and chemiluminescence, allows to control the excited state generation spatially and temporally. The two research visits into A. J. Bard electrochemistry laboratories were priceless. Dr. Bard has been one of ECL pioneers, the first to introduce the technique and the one who discovered in 1972 the surprising emission of Ru(bpy)3 2+. I consider necessary to thank by now my supervisors Massimo and Francesco for their help and for giving me the great opportunity to know this unique science man that made me feel enthusiastic. I will never be grateful enough… Considering that the experimental techniques of ECL did not changed significantly in these last years the most convenient research direction has been the developing of materials with new or improved properties. In Chapter I the basics concepts and mechanisms of ECL are introduced so that the successive experiments can be easily understood. In the final paragraph the scopes of the thesis are briefly described. In Chapter II by starting from ECL experimental apparatus of Dr. Bard’s laboratories the design, assembly and preliminary tests of the new Bologna instrument are carefully described. The instrument assembly required to work hard but resulted in the introduction of the new technique in our labs by allowing the continuation of the ECL studies began in Texas. In Chapter III are described the results of electrochemical and ECL studies performed on new synthesized Ru(II) complexes containing tetrazolate based ligands. ECL emission has been investigated in solution and in solid thin films. The effect of the chemical protonation of the tetrazolate ring on ECL emission has been also investigated evidencing the possibility of a catalytic effect (generation of molecular hydrogen) of one of the complexes in organic media. Finally, after a series of preliminary studies on ECL emission in acqueous buffers, the direct interaction with calf thymus DNA of some complexes has been tested by ECL and photoluminescence (PL) titration. In Chapter IV different Ir(III) complexes have been characterized electrochemically and photophysically (ECL and PL). Some complexes were already well-known in literature for their high quantum efficiency whereas the remaining were new synthesized compounds containing tetrazolate based ligands analogous to those investigated in Chapt. III. During the tests on a halogenated complex was unexpectedly evidenced the possibility to follow the kinetics of an electro-induced chemical reaction by using ECL signal. In the last chapter (V) the possibility to use mono-use silicon chips electrodes as ECL analitycal devices is under investigation. The chapter begins by describing the chip structure and materials then a signal reproducibility study and geometry optimization is carried on by using two different complexes. In the following paragraphs is reported in detail the synthesis of an ECL label based on Ru(bpy)3 2+ and the chip functionalization by using a lipoic acid SAM and the same label. After some preliminary characterizations (mass spectroscopy TOF) has been demonstrated that by mean of a simple and fast ECL measurement it’s possible to confirm the presence of the coupling product SAM-label into the chip with a very high sensitivity. No signal was detected from the same system by using photoluminescence.

Multiple testing in spatial epidemiology: a Bayesian approach

In this work we aim to propose a new approach for preliminary epidemiological studies on Standardized Mortality Ratios (SMR) collected in many spatial regions. A preliminary study on SMRs aims to formulate hypotheses to be investigated via individual epidemiological studies that avoid bias carried on by aggregated analyses. Starting from collecting disease counts and calculating expected disease counts by means of reference population disease rates, in each area an SMR is derived as the MLE under the Poisson assumption on each observation. Such estimators have high standard errors in small areas, i.e. where the expected count is low either because of the low population underlying the area or the rarity of the disease under study. Disease mapping models and other techniques for screening disease rates among the map aiming to detect anomalies and possible high-risk areas have been proposed in literature according to the classic and the Bayesian paradigm. Our proposal is approaching this issue by a decision-oriented method, which focus on multiple testing control, without however leaving the preliminary study perspective that an analysis on SMR indicators is asked to. We implement the control of the FDR, a quantity largely used to address multiple comparisons problems in the eld of microarray data analysis but which is not usually employed in disease mapping. Controlling the FDR means providing an estimate of the FDR for a set of rejected null hypotheses. The small areas issue arises diculties in applying traditional methods for FDR estimation, that are usually based only on the p-values knowledge (Benjamini and Hochberg, 1995; Storey, 2003). Tests evaluated by a traditional p-value provide weak power in small areas, where the expected number of disease cases is small. Moreover tests cannot be assumed as independent when spatial correlation between SMRs is expected, neither they are identical distributed when population underlying the map is heterogeneous. The Bayesian paradigm oers a way to overcome the inappropriateness of p-values based methods. Another peculiarity of the present work is to propose a hierarchical full Bayesian model for FDR estimation in testing many null hypothesis of absence of risk.We will use concepts of Bayesian models for disease mapping, referring in particular to the Besag York and Mollié model (1991) often used in practice for its exible prior assumption on the risks distribution across regions. The borrowing of strength between prior and likelihood typical of a hierarchical Bayesian model takes the advantage of evaluating a singular test (i.e. a test in a singular area) by means of all observations in the map under study, rather than just by means of the singular observation. This allows to improve the power test in small areas and addressing more appropriately the spatial correlation issue that suggests that relative risks are closer in spatially contiguous regions. The proposed model aims to estimate the FDR by means of the MCMC estimated posterior probabilities b i's of the null hypothesis (absence of risk) for each area. An estimate of the expected FDR conditional on data (\FDR) can be calculated in any set of b i's relative to areas declared at high-risk (where thenull hypothesis is rejected) by averaging the b i's themselves. The\FDR can be used to provide an easy decision rule for selecting high-risk areas, i.e. selecting as many as possible areas such that the\FDR is non-lower than a prexed value; we call them\FDR based decision (or selection) rules. The sensitivity and specicity of such rule depend on the accuracy of the FDR estimate, the over-estimation of FDR causing a loss of power and the under-estimation of FDR producing a loss of specicity. Moreover, our model has the interesting feature of still being able to provide an estimate of relative risk values as in the Besag York and Mollié model (1991). A simulation study to evaluate the model performance in FDR estimation accuracy, sensitivity and specificity of the decision rule, and goodness of estimation of relative risks, was set up. We chose a real map from which we generated several spatial scenarios whose counts of disease vary according to the spatial correlation degree, the size areas, the number of areas where the null hypothesis is true and the risk level in the latter areas. In summarizing simulation results we will always consider the FDR estimation in sets constituted by all b i's selected lower than a threshold t. We will show graphs of the\FDR and the true FDR (known by simulation) plotted against a threshold t to assess the FDR estimation. Varying the threshold we can learn which FDR values can be accurately estimated by the practitioner willing to apply the model (by the closeness between\FDR and true FDR). By plotting the calculated sensitivity and specicity (both known by simulation) vs the\FDR we can check the sensitivity and specicity of the corresponding\FDR based decision rules. For investigating the over-smoothing level of relative risk estimates we will compare box-plots of such estimates in high-risk areas (known by simulation), obtained by both our model and the classic Besag York Mollié model. All the summary tools are worked out for all simulated scenarios (in total 54 scenarios). Results show that FDR is well estimated (in the worst case we get an overestimation, hence a conservative FDR control) in small areas, low risk levels and spatially correlated risks scenarios, that are our primary aims. In such scenarios we have good estimates of the FDR for all values less or equal than 0.10. The sensitivity of\FDR based decision rules is generally low but specicity is high. In such scenario the use of\FDR = 0:05 or\FDR = 0:10 based selection rule can be suggested. In cases where the number of true alternative hypotheses (number of true high-risk areas) is small, also FDR = 0:15 values are well estimated, and \FDR = 0:15 based decision rules gains power maintaining an high specicity. On the other hand, in non-small areas and non-small risk level scenarios the FDR is under-estimated unless for very small values of it (much lower than 0.05); this resulting in a loss of specicity of a\FDR = 0:05 based decision rule. In such scenario\FDR = 0:05 or, even worse,\FDR = 0:1 based decision rules cannot be suggested because the true FDR is actually much higher. As regards the relative risk estimation, our model achieves almost the same results of the classic Besag York Molliè model. For this reason, our model is interesting for its ability to perform both the estimation of relative risk values and the FDR control, except for non-small areas and large risk level scenarios. A case of study is nally presented to show how the method can be used in epidemiology.

Valutazione del danno da stress ossidativo come indicatore di effetto biologico dell'esposizione professionale a xenobiotici

Oxidative DNA damages determine the activation of cell repair processes. These processes originate repair products, including the most studied one, 8-hydroxy-2’-deoxyguanosine (8-OH-dG). Several analytical techniques have been applied to measure urinary 8-OH-dG, but a discrepancy in basal urinary 8-OH-dG levels has been noted when comparing chromatographic techniques with immunoenzymatic assays (ELISA). Our laboratory has developed a fully validated, liquid chromatography-tandem mass spectrometry method presenting high sensitivity and specificity, which has participated in an inter-laboratory validation of assays for the measurement of urinary 8-OH-dG (ESCULA project). Mass Spectrometric techniques showed more accuracy and specificity than immunoenzymatic methods. Human spot urine samples were analyzed in order to investigate the possibility to correct urinary lesion measurements for creatinine and to evaluate the intra- and inter-day variability of 8-OH-dG excretion in urine. Our results confirm the opportunity to delve into these issues. Finally, we measured urinary 8-OH-dG in workers exposed to antineoplastic drugs and in a group of unexposed subjects to evaluate the relationship between occupational exposure and oxidative damage related to the internal dose. We found higher levels of 8-OH-dG in exposed nurses, but, as compared to the non-exposed subjects, the difference was not statistically significant, probably do to the very low level of exposure. The scientific literature is rapidly developing on the topic of DNA damage and related repair capacity. Nevertheless, further studies are needed to achieve a better understanding of the sources of DNA lesions in urine and their significance, both in clinical and occupational medicine.

Modulation of epidermial growth factor receptor signaling in colon adenocarcinoma

The use of agents targeting EGFR represents a new frontier in colon cancer therapy. Among these, monoclonal antibodies (mAbs) and EGFR tyrosine kinase inhibitors (TKIs) seemed to be the most promising. However they have demonstrated low utility in therapy, the former being effective at toxic doses, the latter resulting inefficient in colon cancer. This thesis work presents studies on a new EGFR inhibitor, FR18, a molecule containing the same naphtoquinone core as shikonin, an agent with great anti-tumor potential. In HT-29, a human colon carcinoma cell line, flow cytometry, immunoprecipitation, and Western blot analysis, confocal spectral microscopy have demonstrated that FR18 is active at concentrations as low as 10 nM, inhibits EGF binding to EGFR while leaving unperturbed the receptor kinase activity. At concentration ranging from 30 nM to 5 μM, it activates apoptosis. FR18 seems therefore to have possible therapeutic applications in colon cancer. In addition, surface plasmon resonance (SPR) investigation of the direct EGF/EGFR complex interaction using different experimental approaches is presented. A commercially available purified EGFR was immobilised by amine coupling chemistry on SPR sensor chip and its interaction to EGF resulted to have a KD = 368 ± 0.65 nM. SPR technology allows the study of biomolecular interactions in real-time and label-free with a high degree of sensitivity and specificity and thus represents an important tool for drug discovery studies. On the other hand EGF/EGFR complex interaction represents a challenging but important system that can lead to significant general knowledge about receptor-ligand interactions, and the design of new drugs intended to interfere with EGFR binding activity.

Metodi di misurazione e implicazioni dell'albuminuria e della proteinuria nel cane

La proteinuria è un marker di danno renale nel cane. L’obiettivo dello studio è di valutare la capacità del dipstick urinario e dell’UPC di diagnosticare precocemente l’albuminuria nel cane. Sono stati raccolti 868 campioni di urina, con sedimento spento e assenza di ematuria, nell’Ospedale Didattico Veterinario della Facoltà di Medicina Veterinaria di Bologna. Per 550 campioni è stata effettuata l’analisi delle urine, la misurazione dell’UPC e dell’UAC, mentre UPC e UAC sono stati misurati in tutti gli 868 campioni. I campioni di urina sono stati analizzati con il metodo dipstick mediante lettura automatizzata. Utilizzando come valore di riferimento l’UAC è stata valutata l’accuratezza diagnostica del dipstick urinario e dell’UPC. L’intervallo di riferimento dell’UAC (0-0,024) è stato determinato utilizzando 60 cani sani. I dati raccolti sono stati classificati utilizzando differenti cut-off per il peso specifico urinario (1012 o 1030), per la proteinuria al dipstick (30 o 100 mg/dl), per l’UPC (0,2) e per l’UAC (0,024). Sono stati valutati l’agreement diagnostico e la correlazione di Spearman tra dipstick, UPC e UAC. E’ stata stimata l’accuratezza diagnostica misurando l’area al di sotto della curva di ROC nell’analisi dell’UAC. Il livello di significatività è stato definito per p < 0,05. Indipendentemente dal peso specifico urinario, l’agreement diagnostico tra dipstick, UPC e UAC è risultato forte (k=0,62 e k=0,61, rispettivamente; p<0,001) con valori di dipstick ≥30 mg/dl, debole (k=0,27 e k=0,26, rispettivamente; p<0,001) con valori di dipstick ≥100 mg/dl. L’accuratezza diagnostica del dipstick messa a confronto con UPC e con UAC è molto buona (AUC 0,84 e 0,84, rispettivamente; p<0,001) e i risultati negativi al dipstick presentano il 100% di sensitività. UPC e UAC sono fortemente correlate (r=0,90; p<0,001). Mettendo a confronto UPC e UAC, l’accuratezza diagnostica è risultata eccellente (AUC 0,94; p<0,001), con massima sensitività e specificità per UPC≥0.3.

Role of new molecular approaches for the early diagnosis of bladder cancer in clinical practice

There is an urgent need to improve the performance of urine cytology for the diagnosis of bladder cancer. In preliminary studies, telomerase activity evaluated by telomeric repeat amplification protocol (TRAP) assay and chromosomal aneuploidy detected by fluorescence in situ hybridization (FISH) in the diagnosis of bladder cancer have produced important results. Urine cell-free (UCF) DNA has also been proposed as a potential marker for early bladder cancer diagnosis. In the first study the diagnostic performance of TRAP assay and FISH analysis was assessed, while the second study evaluated the potential role of UCF DNA integrity in early bladder cancer diagnosis. In the first cross-sectional study, 289 consecutive patients who presented with urinary symptoms underwent cystoscopy and cytology evaluation. In the second study, UCF DNA was isolated from 51 bladder cancer patients, 46 symptomatic patients, and 32 healthy volunteers. c-Myc, BCAS1 and HER2 gene sequences longer than 250 bp were quantified by real time PCR to verify UCF DNA integrity. In the first study, sensitivity and specificity were 0.39 and 0.83, respectively, for cytology; 0.66 and 0.72 for TRAP; 0.78 and 0.60 for the cytology and TRAP combination; 0.78 and 0.78 for the cytology, TRAP and FISH combination; and 0.65 and 0.93 for the TRAP and FISH combination. In the second study, at the best cutoff of 0.1 ng/µl, UCF DNA integrity analysis showed a sensitivity of 0.73 and a specificity of 0.84 in healthy individuals and 0.83 in symptomatic patients. The preliminary results suggest that these biomarkers could potentially be used for the early diagnosis of bladder cancer, especially in high-risk populations (e.g, symptomatic individuals exposed to occupational risk) who may benefit from the use of noninvasive diagnostic tests in terms of cost-benefit.