Genetic variants within the Wnt/ B-catenin signaling pathway as indicators of bladder cancer clinical outcomes

The genetic factors that influence bladder cancer clinical outcomes are largely unknown. In this clinical outcomes study, I assessed genetic variations in the Wnt/β-catenin stem-cell pathway genes for association with recurrence and progression. A total of 230 SNPS in 40 genes from the Wnt/β-catenin pathway were genotyped in 419 histologically confirmed non-muscle invasive bladder cancer cases. Several significant associations were observed in the clinical outcomes analysis. Under the dominant model WNT8B: rs4919464 (HR: 1.55, 95% CI: 1.17-2.06, P=2.2x10-3) and WNT8B: rs3793771 (HR: 1.54, 95% CI: 1.09-1.62, P=4.6x10-3 ) were statistically significantly associated with an increase risk of recurrence while two other variants, APC2: rs11668593 (HR: 2.50, 95% CI: 1.43-4.35, P=1.2x10-3) and LRP5 : rs312778 (HR: 1.81, 95% CI: 1.23-2.65, P=2.7x10-3), were significantly associated with recurrence risk under the recessive model of inheritance. Four SNPs in the recessive model were associated with an increased risk of progression (AXIN2: rs1544427, LRP5: rs312778, AXIN1: rs370681, AXIN1: rs2301522). LRP5: rs312778 had the most significant increased risk of progression with a 2.68 (95% CI: 1.52-4.72, P=6.4x10-4)-fold increased risk. Stratification analysis based on treatment regimen (transurethral resection (TUR) and Bacillus Calmette-Guérin (BCG)) was also performed. Individuals with at least one variant in AXIN2: rs2007085 were found to have a 2.09 (95% CI: 1.24-3.52, P=5.4x10-3) -fold increased risk of recurrence in those that received TUR only, and no statistically significant effect was seen in those that received BCG. Individuals who received TUR with at least one variant in LEF1: rs10516550 were found to have a 2.26 (95% CI: 1.22-4.18, P=9.7x10-3)-fold increase risk of recurrence and no statistically significant effect was found in individuals who received BCG. Also, the recessive model of LRP6: rs2302684 in TUR only treatment was shown to have a 1.95 (95%CI: 1.18-3.21, P=8.8x10 -3)-fold increased risk of recurrence, and a suggested protective effect associated with a (HR: 0.83, 95% CI: 0.51-1.37, P=0.468) decreased risk of recurrence. Together, these findings implicate the Wnt/β-catenin stem-cell pathway as playing a role in bladder cancer clinical outcomes and have important implications for personalization of future treatment regimens. ^

BAYESIAN STATISTICAL METHODS IN GENE-ENVIRONMENT AND GENE-GENE INTERACTION STUDIES

Complex diseases such as cancer result from multiple genetic changes and environmental exposures. Due to the rapid development of genotyping and sequencing technologies, we are now able to more accurately assess causal effects of many genetic and environmental factors. Genome-wide association studies have been able to localize many causal genetic variants predisposing to certain diseases. However, these studies only explain a small portion of variations in the heritability of diseases. More advanced statistical models are urgently needed to identify and characterize some additional genetic and environmental factors and their interactions, which will enable us to better understand the causes of complex diseases. In the past decade, thanks to the increasing computational capabilities and novel statistical developments, Bayesian methods have been widely applied in the genetics/genomics researches and demonstrating superiority over some regular approaches in certain research areas. Gene-environment and gene-gene interaction studies are among the areas where Bayesian methods may fully exert its functionalities and advantages. This dissertation focuses on developing new Bayesian statistical methods for data analysis with complex gene-environment and gene-gene interactions, as well as extending some existing methods for gene-environment interactions to other related areas. It includes three sections: (1) Deriving the Bayesian variable selection framework for the hierarchical gene-environment and gene-gene interactions; (2) Developing the Bayesian Natural and Orthogonal Interaction (NOIA) models for gene-environment interactions; and (3) extending the applications of two Bayesian statistical methods which were developed for gene-environment interaction studies, to other related types of studies such as adaptive borrowing historical data. We propose a Bayesian hierarchical mixture model framework that allows us to investigate the genetic and environmental effects, gene by gene interactions (epistasis) and gene by environment interactions in the same model. It is well known that, in many practical situations, there exists a natural hierarchical structure between the main effects and interactions in the linear model. Here we propose a model that incorporates this hierarchical structure into the Bayesian mixture model, such that the irrelevant interaction effects can be removed more efficiently, resulting in more robust, parsimonious and powerful models. We evaluate both of the 'strong hierarchical' and 'weak hierarchical' models, which specify that both or one of the main effects between interacting factors must be present for the interactions to be included in the model. The extensive simulation results show that the proposed strong and weak hierarchical mixture models control the proportion of false positive discoveries and yield a powerful approach to identify the predisposing main effects and interactions in the studies with complex gene-environment and gene-gene interactions. We also compare these two models with the 'independent' model that does not impose this hierarchical constraint and observe their superior performances in most of the considered situations. The proposed models are implemented in the real data analysis of gene and environment interactions in the cases of lung cancer and cutaneous melanoma case-control studies. The Bayesian statistical models enjoy the properties of being allowed to incorporate useful prior information in the modeling process. Moreover, the Bayesian mixture model outperforms the multivariate logistic model in terms of the performances on the parameter estimation and variable selection in most cases. Our proposed models hold the hierarchical constraints, that further improve the Bayesian mixture model by reducing the proportion of false positive findings among the identified interactions and successfully identifying the reported associations. This is practically appealing for the study of investigating the causal factors from a moderate number of candidate genetic and environmental factors along with a relatively large number of interactions. The natural and orthogonal interaction (NOIA) models of genetic effects have previously been developed to provide an analysis framework, by which the estimates of effects for a quantitative trait are statistically orthogonal regardless of the existence of Hardy-Weinberg Equilibrium (HWE) within loci. Ma et al. (2012) recently developed a NOIA model for the gene-environment interaction studies and have shown the advantages of using the model for detecting the true main effects and interactions, compared with the usual functional model. In this project, we propose a novel Bayesian statistical model that combines the Bayesian hierarchical mixture model with the NOIA statistical model and the usual functional model. The proposed Bayesian NOIA model demonstrates more power at detecting the non-null effects with higher marginal posterior probabilities. Also, we review two Bayesian statistical models (Bayesian empirical shrinkage-type estimator and Bayesian model averaging), which were developed for the gene-environment interaction studies. Inspired by these Bayesian models, we develop two novel statistical methods that are able to handle the related problems such as borrowing data from historical studies. The proposed methods are analogous to the methods for the gene-environment interactions on behalf of the success on balancing the statistical efficiency and bias in a unified model. By extensive simulation studies, we compare the operating characteristics of the proposed models with the existing models including the hierarchical meta-analysis model. The results show that the proposed approaches adaptively borrow the historical data in a data-driven way. These novel models may have a broad range of statistical applications in both of genetic/genomic and clinical studies.

Activation of matrix metalloproteinase -9 (MMP-9) by heregulin in human breast cancer cells involves multiple signaling pathways

Matrix metalloproteinase-9 (MMP-9) plays an important role in tumor invasion and angiogenesis. Secretion of MMP-9 has been reported in various cancer types including lung cancer, brain cancer, colon cancer, and breast cancer. Heregulin is a growth factor that regulates growth and differentiation of normal breast cells as well as mammary tumor cells. To study the role of heregulin in breast cancer metastasis, we tested whether heregulin may regulate MMP-9 secretion. By screening a panel of breast cancer cell line for their ability to respond to heregulin and produce MMP-9, we have found that MMP-9 secretion can be induced by heregulin-β1 in two breast cancer cell lines, SKBr3 and MCF-7. In both cell lines, increase of MMP-9 activity as shown by zymography was accompanied by increased protein level as well as mRNA level of MMP-9. Using a reporter luciferase assay, we have identified that proximal −670bp promoter of MMP-9 had similar activity to a 2.2kb MMP-9 promoter in response to heregulin stimulation. Heregulin treatment of SKBr3 and MCF-7 activated multiple signaling pathways inside cells. These include the Erk pathway, the p38 kinase pathway, PKC pathway, and PI-3K pathway. To examine which pathways are involved in MMP-9 activation by heregulin, we have used a panel of chemical inhibitors to specifically inhibit each one of these pathways. Ro-31-8220 (PKC inhibitor) and SB203580 (p38 kinase inhibitor) completely blocked heregulin activation of MMP-9. On the other hand, PD098059 (MEK-1 inhibitor) partially blocked MMP-9 activation, whereas PI-3K inhibitor, wortmannin, had no effect. Therefore, at least three signaling pathways are involved in activation of MMP-9 by heregulin. Since MMP-9 is tightly associated with metastatic potential, our study also suggests that heregulin may enhance breast tumor metastasis through induction of MMP-9 expression. ^

Candidate tumor suppressor HYAL2 is a glycosylphosphatidylinositol (GPI)-anchored cell-surface receptor for jaagsiekte sheep retrovirus, the envelope protein of which mediates oncogenic transformation

Jaagsiekte sheep retrovirus (JSRV) can induce rapid, multifocal lung cancer, but JSRV is a simple retrovirus having no known oncogenes. Here we show that the envelope (env) gene of JSRV has the unusual property that it can induce transformation in rat fibroblasts, and thus is likely to be responsible for oncogenesis in animals. Retrovirus entry into cells is mediated by Env interaction with particular cell-surface receptors, and we have used phenotypic screening of radiation hybrid cell lines to identify the candidate lung cancer tumor suppressor HYAL2/LUCA2 as the receptor for JSRV. HYAL2 was previously described as a lysosomal hyaluronidase, but we show that HYAL2 is actually a glycosylphosphatidylinositol (GPI)-anchored cell-surface protein. Furthermore, we could not detect hyaluronidase activity associated with or secreted by cells expressing HYAL2, whereas we could easily detect such activity from cells expressing the related serum hyaluronidase HYAL1. Although the function of HYAL2 is currently unknown, other GPI-anchored proteins are involved in signal transduction, and some mediate mitogenic responses, suggesting a potential role of HYAL2 in JSRV Env-mediated oncogenesis. Lung cancer induced by JSRV closely resembles human bronchiolo-alveolar carcinoma, a disease that is increasing in frequency and now accounts for ≈25% of all lung cancer. The finding that JSRV env is oncogenic and the identification of HYAL2 as the JSRV receptor provide tools for further investigation of the mechanism of JSRV oncogenesis and its relationship to human bronchiolo-alveolar carcinoma.

Synergy between T-cell immunity and inhibition of paracrine stimulation causes tumor rejection.

During tumor progression, variants may arise that grow more vigorously. The fate of such variants depends upon the balance between aggressiveness of the variant and the strength of the host immunity. Although enhancing host immunity to cancer is a logical objective, eliminating host factors necessary for aggressive growth of the variant should also be considered. The present study illustrates this concept in the model of a spontaneously occurring, progressively growing variant of an ultraviolet light-induced tumor. The variant produces chemotactic factors that attract host leukocytes and is stimulated in vitro by defined growth factors that can be produced or induced by leukocytes. This study also shows that CD8+ T-cell immunity reduces the rate of tumor growth; however, the variant continues to grow and kills the host. Treatment with a monoclonal anti-granulocyte antibody that counteracts the infiltration of the tumor cell inoculum by non-T-cell leukocytes did not interfere with the CD8+ T-cell-mediated immune response but resulted in rejection of the tumor challenge, indicating a synergy between CD8+ T-cell-mediated immunity and the inhibition of paracrine stimulation.

Biomarcatori per il monitoraggio biologico di soggetti esposti ad agenti cancerogeni per il polmone

Riassunto I biomarcatori o “marcatori biologici” svolgono un ruolo fondamentale nel monitoraggio biologico. In questo lavoro ci siamo soffermati sullo studio di biomarcatori di effetto e di esposizione a xenobiotici ambientali. Nel primo caso abbiamo valutato i micro RNA (miRNA) da utilizzare per la diagnosi precoce del tumore al polmone in matrici di facile accesso, quale il CAE e il plasma, utilizzando il miRNA-21, oncogeno, e il miRNA-486, oncosoppressore. I risultati evidenziano una loro capacità di distinguere correttamente i soggetti con tumore polmonare dai soggetti sani, ipotizzando un loro utilizzo a scopo diagnostico. Nella seconda parte del lavoro di tesi sono stati studiati i biomarcatori di esposizione a benzene per valutare gli effetti dell’esposizione a concentrazioni ambientali su bambini residenti in città e a diverso livello di urbanizzazione. Lo studio ha evidenziato una correlazione dose-effetto fra le concentrazioni di benzene e dei suoi metaboliti urinari e un danno ossidativo a livello degli acidi nucleici. Tuttavia, le concentrazioni di benzene urinario non sono influenzate dal grado di industrializzazione, a differenza dell’S-PMA e degli indicatori di stress ossidativo (8-oxodGuo e 8-oxoGuo) che sembrano risentire sia della residenza che del momento del campionamento. Infine abbiamo ricercato possibili biomarcatori di esposizione a vinilcicloesene (VCH), sottoprodotto industriale nella polimerizzazione del 1,3-butadiene, poiché non sono ancora stati proposti BEI di riferimento nonostante i bassi valori di TLV-TWA (0.1 ppm) proposti dall’ACGIH. Nella prima fase del lavoro abbiamo studiato i meccanismi di tossicità del VCH tramite modelli in vitro, testando varie linee cellulari. I risultati evidenziano come la dose reale di VCH sia di molto inferiore a quella nominale per effetto dell’evaporazione. Inoltre, nelle linee cellulari più sensibili si sono evidenziati effetti citostatici, con alterazioni del ciclo cellulare, a differenza dell’esposizione agli epossidi del VCH, il VCD e l’1,2-VCHME, che determinano lisi cellulare con IC50 di 3 ordini di grandezza inferiori a quelli del VCH. La quantificazione dei metaboliti di I fase e di II fase del VCH nelle linee cellulari epatiche ha evidenziato concentrazioni di circa 1000 volte inferiori a quelle del VCH confermando come la sua tossicità sia principalmente dovuta alla produzione degli intermedi epossidici. La trasformazione nei metaboliti di II fase conferma inoltre l’effetto detossificante del metabolismo. La trasferibilità dei risultati ottenuti in vitro su sistemi in vivo fornirà le basi per poter identificare possibili metaboliti da proporre per il monitoraggio biologico di lavoratori esposti a VCH. PAROLE CHIAVE: biomarcatori di effetto e di esposizione, tumore al polmone, miRNA, benzene, vinilcicloesene.

Utilità e limiti della diagnosi di patologie polmonari e pleuriche asbesto-correlate

L’apparato respiratorio rappresenta il bersaglio di numerose sostanze tossiche aerodisperse che rivestono un ruolo chiave nella patogenesi della maggior parte delle patologie polmonari e pleuriche, sia benigne che maligne. Nonostante per alcune di esse siano noti specifici fattori di rischio, le sole attività di prevenzione primaria non sono sufficienti a limitarne la diffusione. Si rende quindi necessario attuare adeguate misure di prevenzione secondaria per la diagnosi di malattie potenzialmente curabili allo stadio iniziale, in modo da aumentare l’efficacia dei trattamenti terapeutici e le possibilità di guarigione. Un approccio non invasivo per lo studio dei meccanismi fisiopatologici alla base delle patologie polmonari e pleuriche potrebbe essere effettuato anche con nuove metodiche (es. naso elettronico), al fine di identificare e validare nuovi biomarcatori per un più specifico approccio diagnostico. Il lavoro scientifico ha riguardato inizialmente l’identificazione di un indicatore o di un gruppo di indicatori dotati di potere diagnostico sufficientemente elevato per poter discriminare precocemente, nell’ambito di soggetti con pregressa esposizone ad asbesto, patologie benigne, sia polmonari che pleuriche, da patologie maligne. Successivamente l’attenzione è stata rivolta alla diagnosi precoce di patologie neoplastiche a carico del solo parenchima polmonare, valutando il potere discriminante di un pattern di composti organici volatili (VOCs, tra cui pentano, 2-metilpentano, esano, etilbenzene, eptanale e trans-2-nonenale) raccolti con metodiche non invasive e dotati di potere diagnostico tale da discriminare patologie benigne da patologie maligne potenzialmente curabili in soggetti ad alto rischio di sviluppare cancro del polmone. Infine abbiamo tentato di ottimizzare i parametri di impostazione e raccolta di un nuovo strumento: il naso elettronico. Su di esso esistono alcuni lavori in letteratura in cui ne vengono descritte le potenzialità in ambito diagnostico per il riconoscimento di specifici pattern suggestivi di patologie polmonari, sia flogistiche (TBC, BPCO) che neoplastiche (mesotelioma, NSCLC). Purtroppo nessuno di questi lavori definisce le condizioni ottimali di utilizzo, i limiti dello strumento e le interferenze di fattori ambientali e soggettivi riguardo al segnale elaborato. Il lavoro si è concentrato soprattutto sull’indagine delle condizioni ottimali di utilizzo e sull’eventuale condizionamento del segnale da parte di determinate variabili ambientali (es. umidità) o individuali (es. fumo, cibo, alcol).

B cell chronic lymphocytic leukaemia cells have reduced capacity to upregulate expression of MHC class I in response to interferon-gamma

Aims: An important consideration in the design of a tumour vaccine is the ability of tumour-specific cytotoxic T lymphocytes (CTL) to recognise unmanipulated tumour cells in vivo. To determine whether B-CLL might use an escape strategy, the current studies compared B-CLL and normal B cell MHC class I expression. Methods: Flow cytometry, TAP allele PCR and MHC class I PCR were used. Results: While baseline expression of MHC class I did not differ, upregulation of MHC class I expression by B-CLL cells in response to IFN-gamma was reduced. No deletions or mutations of TAP 1 or 2 genes were detected. B-CLL cells upregulated TAP protein expression in response to IFN-gamma. Responsiveness of B-CLL MHC class I mRNA to IFN-gamma was not impaired. Conclusions: The data suggest that MHC class I molecules might be less stable at the cell surface in B-CLL than normal B cells, as a result of the described release of beta(2)m and beta(2)m-free class I heavy chains from the membrane. This relative MHC class I expression defect of B-CLL cells may reduce their susceptibility to CTL lysis in response to immunotherapeutic approaches.

A population of HLA-DR+ immature cells accumulates in the blood dendritic cell compartment of patients with different types of cancer

Dendritic cell (DC) defects are an important component of immunosuppression in cancer. Here, we assessed whether cancer could affect circulating DC populations and its correlation with tumor progression. The blood DC compartment was evaluated in 136 patients with breast cancer, prostate cancer, and malignant glioma. Phenotypic, quantitative, and functional analyses were performed at various stages of disease. Patients had significantly fewer circulating myeloid (CD11c(+)) and plasmacytoid (CD123(+)) DC, and a concurrent accumulation of CD11c(-)CD123(-) immature cells that expressed high levels of HLA-DR+ immature cells (DR+IC). Although DR+IC exhibited a limited expression of markers ascribed to mature hematopoietic lineages, expression of HLA-DR, CD40, and CD86 suggested a role as antigen-presenting cells. Nevertheless, DR+IC had reduced capacity to capture antigens and elicited poor proliferation and interferon-gamma secretion by T-lymphocytes. Importantly, increased numbers of DR+IC correlated with disease status. Patients with metastatic breast cancer showed a larger number of DR+IC in the circulation than patients with local/nodal disease. Similarly, in patients with fully resected glioma, the proportion of DR+IC in the blood increased when evaluation indicated tumor recurrence. Reduction of blood DC correlating with accumulation of a population of immature cells with poor immunologic function may be associated with increased immunodeficiency observed in cancer.

Concentration dependent effects of N1,N11-diethylnorspermine on melanoma cell proliferation

N-1, N-11-Diethylnorspermine (DENSPM) is a polyamine analog that is currently under investigation as a novel anticancer drug. Although it has shown promising preclinical activity, there has been large variation in responsiveness reported between different human cancers. During our studies into the causes of this variation, we observed a consistent increase in cell proliferation at low drug concentrations (

Microarray-based comparative genomic hybridisation of breast cancer patients receiving neoadjuvant chemotherapy

We analysed the molecular genetic profiles of breast cancer samples before and after neoadjuvant chemotherapy with combination doxorubicin and cyclophosphamide (AC). DNA was obtained from microdissected frozen breast core biopsies from 44 patients before chemotherapy. Additional samples were obtained before the second course of chemotherapy (D21) and after the completion of the treatment (surgical specimens) in 17 and 21 patients, respectively. Microarray-based comparative genome hybridisation was performed using a platform containing approx5800 bacterial artificial chromosome clones (genome-wide resolution: 0.9 Mb). Analysis of the 44 pretreatment biopsies revealed that losses of 4p, 4q, 5q, 12q13.11–12q13.12, 17p11.2 and 17q11.2; and gains of 1p, 2p, 7q, 9p, 11q, 19p and 19q were significantly associated with oestrogen receptor negativity. 16q21–q22.1 losses were associated with lobular and 8q24 gains with ductal types. Losses of 5q33.3–q4 and 18p11.31 and gains of 6p25.1–p25.2 and Xp11.4 were associated with HER2 amplification. No correlations between DNA copy number changes and clinical response to AC were found. Microarray-based comparative genome hybridisation analysis of matched pretreatment and D21 biopsies failed to identify statistically significant differences, whereas a comparison between matched pretreatment and surgical samples revealed a statistically significant acquired copy number gain on 11p15.2–11p15.5. The modest chemotherapy-driven genomic changes, despite profound loss of cell numbers, suggest that there is little therapeutic selection of resistant non-modal cell lineages.

The use of amino acids to enhance the aerosolisation of spray-dried powders for pulmonary gene therapy

Background Pulmonary delivery of gene therapy offers the potential for the treatment of a range of lung conditions, including cystic fibrosis, asthma and lung cancer. Spray-drying may be used to prepare dry powders for inhalation; however, aerosolisation of such powders is limited, resulting in poor lung deposition and biological functionality. In this study, we examine the use of amino acids (arginine, aspartic acid, threonine, phenylalanine) to enhance the aerosolisation of spray-dried powders containing model non-viral gene vectors. Methods Lipid/polycation/pDNA (LPD) vectors, in the presence or absence of amino acids, were dispersed in lactose solutions, and spray-dried to produce appropriately sized dry powders. Scanning electron microscopy and laser diffraction were used to determine particle morphology and diameter, respectively. Gel electrophoresis was used to examine the influence of amino acids on the structural integrity of the LPD complex. In vitro cell (A.549) transfection was used to determine the biological functionality of the dry powders, and the in vitro aerosolisation performance was assessed using a multistage liquid impinger (MSLI). Results Both gel electrophoresis and in vitro cell transfection indicated that certain amino acids (aspartic acid, threonine) can adversely affect the integrity and biological functionality of the LPD complex. All amino acids significantly increased the aerosolisation of the powder, with the arginine and phenylalanine powders showing optimal deposition in the lower stages of the MSLI. Conclusions Amino acids can be used to enhance the aerosolisation of spray-dried powders for respiratory gene delivery, allowing the development of stable and viable formulations for pulmonary gene therapy.

Disulfiram/copper complex inhibiting NFκB activity and potentiating cytotoxic effect of gemcitabine on colon and breast cancer cell lines

Most of the gemcitabine (dFdC) resistant cell lines manifested high NF?B activity. The NF?B activity can be induced by dFdC and 5-FU exposure. The chemosensitizing effect of disulfiram (DS), an anti-alcoholism drug and NF?B inhibitor, and copper (Cu) on the chemoresistant cell lines was examined. The DS/Cu complex significantly enhanced the cytotoxicity of dFdC (resistant cells: 12.2–1085-fold) and completely reversed the dFdC resistance in the resitant cell lines. The dFdC-induced NF?B activity was markedly inhibited by DS/Cu complex. The data from this study indicated that DS may be used in clinic to improve the therapeutic effect of dFdC in breast and colon cancer patients.

A Therapeutic Antibody for Cancer, Derived from Single Human B Cells.

Some patients with cancer never develop metastasis, and their host response might provide cues for innovative treatment strategies. We previously reported an association between autoantibodies against complement factor H (CFH) and early-stage lung cancer. CFH prevents complement-mediated cytotoxicity (CDC) by inhibiting formation of cell-lytic membrane attack complexes on self-surfaces. In an effort to translate these findings into a biologic therapy for cancer, we isolated and expressed DNA sequences encoding high-affinity human CFH antibodies directly from single, sorted B cells obtained from patients with the antibody. The co-crystal structure of a CFH antibody-target complex shows a conformational change in the target relative to the native structure. This recombinant CFH antibody causes complement activation and release of anaphylatoxins, promotes CDC of tumor cell lines, and inhibits tumor growth in vivo. The isolation of anti-tumor antibodies derived from single human B cells represents an alternative paradigm in antibody drug discovery.