Since its identification as a member of the tumour necrosis factor (TNF) family, TRAIL (TNF-related apoptosis-inducing ligand) has emerged as a new avenue in apoptosis-inducing cancer therapies. Its ability to circumvent the chemoresistance of conventional therapeutics and to interact with cancer stem cells (CSCs) self-renewal pathways, amplified its potential as a cancer apoptotic agent. Many recombinant preparations of this death ligand and monoclonal antibodies targeting its death receptors have been tested in monotherapy and combinational clinical trials. Gene therapy is a new approach for cancer treatment which implies viral or non-viral functional transgene induction of apoptosis in cancer cells or repair of the underlying genetic abnormality on a molecular level. The role of this approach in overcoming the traditional barriers of radiation and chemotherapeutics systemic toxicity, risk of recurrence, and metastasis made it a promising platform for cancer treatment. The recent first Food Drug Administration (FDA) approved oncolytic herpes virus for melanoma treatment brings forth the potency of the cancer gene therapy approach in the future. Many gene delivery systems have been studied for intratumoural TRAIL gene delivery alone or in combination with chemotherapeutic agents to produce synergistic cancer cytotoxicity. However, there still remain many obstacles to be conquered for this different gene delivery systems. Nanomedicine on the other hand offers a new frontier for clinical trials and biomedical research. The FDA approved nanodrugs motivates horizon exploration for other nanoscale designed particles' implications in gene delivery. In this review we aim to highlight the molecular role of TRAIL in apoptosis and interaction with cancer stem cells (CSCs) self-renewal pathways. Finally, we also aim to discuss the different roles of gene delivery systems, mesenchymal cells, and nanotechnology designs in TRAIL gene delivery.

published_or_final_version / abstract / Clinical Oncology / Doctoral / Doctor of Philosophy

The hunt for biomarkers for anti-VEGF agent bevacizumab is ongoing since last decade with no success. Identifying robust biomarkers for stratifying patients and for monitoring response is important for the future use of bevacizumab in breast cancer. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) analysis and genome wide gene expression analysis are two promising approaches to understand the molecular mechanisms and search for biomarker of anti-angiogenic therapy. Firstly, with the retrospective pilot study, a close link between DCE-MRI findings and the molecular mechanisms assisting cancer survival and metastasis was established. Secondly, the prospective window of opportunity study conducted using single cycle of bevacizumab given before neoadjuvant chemotherapy and by performing detailed pharmacodynamic analyses with DCE-MRI and gene expression before and two weeks after bevacizumab had shown a wide variation in responses to bevacizmab both at genomic and imaging level. A close link between changes in DCE-MRI and the changes in gene expression profile was further established suggesting DCE-MRI has potential to serve as non-invasive biomarkers of antiangiogenic therapy. Tumours with high baseline values of forward transfer constant K^trans showed the maximum response as assessed by DCE-MRI after bevacizumab. By performing biopsy after single cycle of bevacizumab, the changes in genes related to immune response, metabolism and cell signalling were observed that gives a useful insight into mechanisms governing response and resistance to bevacizumab. Also the certain gene expression changes observed with post bevacizumab biopsies, such as down regulation of endothelial cell specific molecule-1 (ESM1), cyclin E1 (CCNE1) and up regulation of pyruvate dehydrogenase kinase 1 (PDK1), cyclic GMP-inhibited phosphodiesterase B (PDE3B) could be helpful in decision-making about future therapy with bevacizumab at an early stage. This study has suggested that using bevacizumab in combination with other targeted agents could overcome resistance.

Thesis (Ph.D) -- McMaster University, 1997 / Includes bibliographical references Also available via World Wide Web.

Thesis (M.S.)--West Virginia University, 2008. / Title from document title page. Document formatted into pages; contains xiv, 126 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 123-126).

L'annotation fonctionnelle de mutations somatiques est un point focal des études de génomique du cancer. Jusque récemment, la recherche s'est concentré sur des mutations dans la fraction codante du génome, pour lesquelles de puissants outils bioinformatiques ont été développés afin de distinguer des mutations délétères des mutations neutres. On identifie un nombre croissant de variants associés à des maladies dans le génome non-codant. L'interprétation des mutations non-codantes dans le cancer est donc devenue une tâche urgente. Des projets de grande envergure tels que ENCODE ont rendu possible l'interprétation fonctionnelle de variants dans les cancers. Plusieurs programmes ont été produits sur la base de ces informations fonctionnelles. Ces outilssont encore limités, notamment, une bas précision de la prédiction, le manque d'information de la mutation de cancer et biais de constatation importante. Dans le chapitre 2 de cette thèse, pour interpréter fonctionnellement les mutations non-codantes dans les cancers, nous avons développé deux modèles de forêts aléatoires indépendants, appelées SNP et SOM. Compte tenu de la combinaison de caractéristiques fonctionnelles à une position donnée du génome, le modèle SNP prédit la fraction de SNP rares (une mesure de la sélection négative), et le modèle SOM prédit la densité de mutations somatiques attendue à cette position. Nous avons appliqué nos deux modèles pour évaluer des clinvariant and HGMD variants asociés à des maladies, et un ensemble de SNP-contrôle aléatoires. Les résultats ont montré que les variants associés à des maladies ont des scores plus élevés que les SNP-contrôle avec le modèle SNP et inférieures avec le modèle SOM, confortant notre hypothèse selon laquelle la sélection négative, telle que mesurée par fraction de SNP rares et de densité de mutation somatiques, nous informe sur l'impact fonctionnel des mutations tumorales dans le génome non-codant. Jusqu'à présent, les chercheurs ont surtout considéré les gènes protéiques comme critiques dans l'initiation et la progression des cancers. Toutefois, des preuves récentes ont montré que les ARN non-codants, en particulier les lncRNAs, sont activement impliqués dans divers processus de cancer. Un chapitre de cette thèse est consacré à cette classe de transcripts non codants. Comme pour les gènes codants, il pourrait exister un grand nombre de lncRNAs driver de cancer. Le développement d'outils bioinformatiques pour identifier et hiérarchiser les lncRNA et autres ARN non-codants est devenu un important objet de recherche en oncologie.La dernière partie de cette thèse est consacrée à la mise en œuvre de méthodes pour découvrir des éléments non-codants potentiellement driver de cancer. Nous avons d'abord appliqué trois outils tierces, CADD, funSeq2, GWAVA, ainsi que nos modèles SNP et SOM, pour évaluer l'impact des mutations non-codantes dans tout le génome. Pour chaque locus, nous calculons la moyenne des scores de tous les variants observés à l'aide de l'un des modèles, et nous prenons au hasard le même nombre de variants et calculons leur score moyen 1 million de fois pour former une distribution nulle et obtenir une P-valeur pour ce locus. Pour valider notre hypothèse et notre modèle de permutation, nous avons testé ce système sur 452 gènes codants et 61 lncRNA liés au cancer, en utilisant des données de mutation somatique de cancer du foie, cancer du poumon, CLL et mélanome. Nous avons constaté que les lncRNAs et gènes codants associés au cancer avaient des valeurs-P significativement plus faibles que l'ensemble de lncRNAs et gènes codant. Appliquer ce test de permutation à des lncRNAs avec cinq systèmes de notation différents nous a permis de prioriser les centaines de candidats potentiellement liés au cancer.Ces candidats peuvent maintenant être soumis à validation expérimentale. / Functional annotation of somatic mutations have been a consistent hotspot of cancer genomics studies. In the past, researchers preferentially focused on mutations in the coding fraction of the genome, for which ample bioinformatics tools were developed to distinguish cancer-driver mutations from neutral ones. In recent years, as an increasing number of variants were being identified as disease-associated in the non-coding genome, interpreting non-coding cancer mutations has become an urgent task. The completion of large scale projects such as ENCODE, has made functional interpretation of cancer variants achievable, and several programs were produced based on this functional information. However, there still exists some limitations as to these prediction tools, such as low prediction accuracy, lack of cancer mutation information and significant ascertainment bias. In chapter 2 of this thesis, in order to functionally interpret non-coding mutations in cancer, we developed two independent random forest models, referred to as SNP and SOM. Given a combination of features at a given genome positions, the SNP model predicts the expected fraction of rare SNPs (a measure of negative selection), and the SOM model predicts the expected mutation density at this position. We applied our two models to score these non-coding disease-associated clinvariant and HGMD variants and a set of random control SNPs. Results showed that disease-associated variants were scored higher than control SNPs with the SNP model and lower than control SNPs with the SOM model, supporting our hypothesis that purifying selection as measured by fraction of rare SNPs and mutation density is informative for the evaluation of the functional impact of cancer mutations in the non-coding genome. In the past, researchers have preferentially considered protein-coding genes as critical to the initiation and progression of cancers. However, recent evidences have shown that ncRNAs, in particular lncRNAs, are actively implicated in various cancer processes. A chapter of this thesis is devoted to this class of non-coding transcripts. Similar to protein coding genes, there might be a large number of lncRNAs with cancer-driving functions. The development of bioinformatics tools to prioritize them has become a new focus of research for computational oncologists.The last part of this thesis is devoted to the implementation of methods for discovering potential cancer-driving non-coding elements in lncRNA and protein-coding genes. We applied three scoring tools, CADD, funSeq2, GWAVA, together with our SNP and SOM scoring systems to prioritize cancer-associated elements using a permutation-based algorithm. For each locus, we compute the average score of all observed variants using one of the models, and we randomly take the same number of variants and compute their average score 1 million times to form a null distribution and obtain a P value for this locus. To validate our hypothesis and permutation model, we tested this system on 61 cancer-related lncRNA and 452 cancer genes using somatic mutation data from liver cancer, lung cancer, CLL and melanoma. We observed that both cancer lncRNAs and protein-coding genes had significantly lower average P values than total lncRNAs and protein-coding genes in all cases. Applying the permutation test to lncRNAs with five different scoring systems enabled us to prioritize hundreds to thousands of cancer-related lncRNA candidates. These candidates can be used for future experimental validation.

Vaults, recently discovered in 1986, are multi-subunit organelles with a molecular mass of ,--,13 MDa. The specific function of vaults is unknown, although they are believed to be involved in internal transport. These ribonucleoproteins are composed of the major vault protein, which comprises ' 70% of the vault's mass, two minor proteins, TEP1 and vPARP, and untranslated RNA(s). It is believed that the protein components of the vault are structural while the RNAs are the functional components. Implications of the vault's involvement in multi-drug resistance in cancer have been made. In some resistant cancer cells, the major vault protein and vRNA(s) are up-regulated up to 15 times when cells are exposed to a cytotoxic drug. Cytotoxic drugs such as doxorubicin are administered as a cancer treatment, but may be ineffective because the drug is actively pumped out of the cell. Multi-drug resistance is the most common failure of chemotherapeutic cancer treatment. In order to prevent the development of multi-drug resistance this research employed the use of small interfering RNA technology to down-regulate the expression of one of the vault RNAs, vRNA3, in cultured GLC4 cells, a small-cell lung cancer cell line. If the vRNA(s) are the functional portion of the vault and a cloned siRNA prevents their up-regulation after drug exposure, the cells should lose their multi-drug resistance, stimulating apoptosis. If successful, this approach may provide an alternative approach to cancer treatment in cells which respond to chemotherapy by increasing the number of vault particles.Initially, the transfection of a plasmid into GLC4 cells was optimized. The best transfection efficiency (N20%) was obtained by using GeneTherapySystems' GenePORTER2 transfection reagent in serum free conditions. To determine if the vault RNAs are the functional portion of the vault complex that confers multi-drug resistance to a cell, a small interfering RNA fragment was designed to specifically knock-down the expression of human vault RNA 3. The siRNA sequence homologous to a portion of vault RNA3 was cloned into an expression vector, and using optimized transfection protocols was transfected into GLC4/REV cells. A Western analysis using caspase-8 antibodies showed no difference in caspase-8 expression in doxorubicin treated and untreated cells. Preliminary results yielded by reverse transcriptase polymerase chain reaction amplification of isolated RNA indicated that the vRNAs were not down-regulated by the siRNAs. / Department of Biology

miRNAs are critical modulators in the development and progression of cancer. Emerging evidence suggests that they are drivers of ovarian cancer. A better understanding of the molecular underpinnings of the development, progression and chemoresistance of the disease is critical for the development of new, more effective therapies. Here we explore the expression patterns of miRNAs as they relate to gene expression, as they differ across molecular subtypes of the disease. We examine the correlation structure of miRNA expression with mRNA expression in two distinct genomic datasets and report on patterns in correlation structure in several subsets of the data. We find that the datasets show consistency in their correlation structure, and in the specific miRNA-mRNA pairs that are either highly positively or negatively correlated. The data include a larger number of strong positive and strong negative correlations than would be expected by chance, indicating that biological relationships between the types of data are detectable in these datasets. We further find an enrichment for positively-correlated miRNA-mRNA pairs in which the miRNA is encoded in close proximity to the mRNA. The correlation of miRNA and mRNA is apparently unaffected by miRNA and mRNA expression level; similarly the two molecular subtypes do not contain differences in their correlation. We find that the recently described poorer prognosis, or angiogenic, subtype has a generally lower miRNA activity than the second, non-angiogenic, subtype. The subtypes are characterized by a consistent pattern of differential miRNA expression. We also report on a switch-like relationship between the expression levels of certain miRNAs and the genes that are anticorrelated with them. We propose these miRNAs drive many of the differences in the subtypes both directly, by RISC-mediated repression of target messages and indirectly, by repressing transcription factors that regulate expression in the cell. We build models of patient survival and time-to-relapse based on these miRNA expression data and inferred miRNA activity scores, using several types of univariate and variable selection models. We find essentially no survival-predictive information provided by the RE score data. While the direct miRNA expression measurements may contain some predictive power, we find that a larger dataset and the segretation of that dataset into distinct molecular phenotypes is likely to be necessary to produce a useful model of survival in ovarian cancer.

全球人類健康的頭號殺手--腫瘤目前仍是難以攻克的醫學難題。腫瘤的發生是一個復雜的過程，主要由促癌基因的異常增多或激活及抑癌基因（TSG）的缺失或功能喪失的累積效果導致。近年來基於非基因序列改變所致基因表達水平變化的表觀遺傳學的研究進展表明，啟動子區CpG島甲基化所致的表觀遺傳沉默是抑癌基因轉錄失活的重要機制。Ras和Wnt信號轉導通路在癌病的發生和發展過程中均起到重要的作用，因此針對該兩種信號通路的拮抗因子的表觀遺傳調控及功能學研究將為我們提供有研究及應用前景的候選抑癌基因。 / 作為一種重要的原癌基因，Ras家族基因具有致癌活性的點突變及其導致的過度激活的Ras信號通路被發現廣泛存在於大約30%的人類腫瘤中。然而在一些缺乏Ras基因突變的腫瘤類型中，持續激活的Ras信號通路仍然普遍存在並具有重要作用，昭示著除了Ras基因點突變以外的信號轉導異常激活的機制。與GTP的結合可激活Ras，而RasGAP家族蛋白可通過水解GTP達到使Ras失活的作用。通過采用微陣列比較基因組雜交(aCGH)的實驗手段我們發現6p21.3染色體區具有半接合子缺失， 並於此區域發現了候選抑癌基因RASA5。在以往的研究報道中，RASA5被命名為SynGAP且其功能研究僅限於神經系統。我們的研究發現不同於RasGAP家族的其它基因RASA2-4，RASA5廣泛表達於人類正常器官組織中，並特異性地在腫瘤細胞，特別是鼻咽癌(NPC)，食管鱗狀上皮細胞癌(ESCC)和乳腺癌這些具有野生型Ras基因但Ras信號通路仍被過度激活的細胞中被表觀遺傳沉默。RASA5的異位表達可有效促進腫瘤細胞的雕亡，抑制腫瘤細胞的生長、遷移及“幹性（stemness）“。同時，使用siRNA敲除內源性RASA5可以激發細胞的克隆形成及上皮-間質(EMT)轉化。RASA5的抑癌功能是通過調低Ras-GTP水平並進而抑制其下遊信號通路的活性實現的。過量表達具有致癌活性的點突變的Ras或RasGAP結構域缺失均可部分逆轉這種抑癌作用。此項研究首次證明了RASA5的抑癌功能。 / Wnt/Dvl/β-catenin信號轉導通路在人類腫瘤中存在廣泛的異常激活。我們發現DACT (Dpr/Frodo)家族成員TUSC-T2的表觀遺傳沉默是一種普遍存在於人類腫瘤中的現象。TUSC-T2編碼一種胞質蛋白，外源性表達TUSC-T2可促進腫瘤細胞雕亡並導致腫瘤細胞的克隆形成能力下降。TUSC-T2可與Dvl蛋白結合並下調其活化水平，從而保護GSK-3β蛋白不被Dvl蛋白抑制。GSK-3β可與Axin及APC蛋白形成蛋白質復合物，該復合物可捕捉並降解細胞內信號分子β-catenin。TUSC-T2的過量表達可以抑制β-catenin的激活及其向細胞核內的富集，並進一步阻止β-catenin在細胞核內與Lef/Tcf轉錄因子家族的作用及下遊特定原癌基因，例如c-Myc, CCND1及Fibronectin的表達。因此TUSC-T2具有抑制腫瘤細胞增殖、遷移及上皮-間質(EMT)轉化的作用。 / 綜上所述，我們的研究結果表明RASA5及TUSC-T2是具有抑癌功能的Ras或Wnt/Dvl/β-catenin信號轉導通路抑制因子，其表觀遺傳沉默導致的轉錄失活對於腫瘤的發生發展具有重要意義。同時，針對這兩種抑癌基因的進一步研究將為我們提供富有應用前景的腫瘤標記物。值得註意的是，RASA5課題的研究開創性地闡明了Ras信號通路的拮抗因子的表觀遺傳沉默是一種Ras信號轉導通路於腫瘤細胞中異常激活的新機制。 / Cancer is the top killer of the world, as well as the medical problem difficult to overcome. The conversion of a normal cell to a cancer cell is usually caused by upregulation of oncogenes and downregulation of tumor suppressor genes (TSGs). Epigenetic silencing has been proved to be important in TSGs inactivation, often through methylation of CpG-rich promoter regions. Ras and Wnt signaling pathways are both important for the tumorigenesis, epigenetic and functional studies of antagonists to Ras and Wnt signaling would provide us with candidate TSGs. / Ras is a well-known oncogene. Aberrant mutations of Ras genes occur in approximately 30% of human tumors, causing constitutively activated Ras signaling. However, in certain types of tumors with wild type Ras genes, abnormally activated Ras signaling is still a common and critical event, suggesting alternative mechanisms for Ras signaling hyperactivation. Ras is active when it is bound to GTP, while the hydrolysis of bound GTP and inactivation of Ras is catalyzed by Ras GTPase activating proteins (RasGAPs). Using 1-Mb array CGH (aCGH), we refined a small hemizygous deletion at the 6p21.3 chromosome region that contains a RasGAP family member gene RASA5, which used to be named as SynGAP and studied only in the neuron systems. We demonstrated that RASA5, rather than other RasGAP family members RASA2-4, is broadly expressed in human normal tissues while frequently epigenetically silenced in multiple tumors, especially in certain tumor types such as nasopharyngeal (NPC), esophageal (ESCC) and breast carcinomas (BrCa) with wild-type Ras while Ras cascade is still constitutively active. Ectopic expression of RASA5 led to apoptosis, growth and migration inhibition, as well as ‘stemness’ repression of tumor cells. Meanwhile, knockdown of RASA5 by siRNA promoted the tumor cell colony formation as well as epithelial-mesenchymal transition (EMT). The tumor-suppressive function of RASA5 was exerted through downregulating Ras-GTP level and further inactivating Ras signaling. Such an inhibitory effect could be partially abrogated in the presence of mutated, activated Ras or by deletion of the RasGAP domain. For the first time, our study refined the role of RASA5 as a tumor suppressor. / Wnt/DVL/β-catenin signaling pathway is aberrantly activated in a wide range of human cancers. We identified a DACT (Dpr/Frodo) family member TUSC-T2 as an epigenetically downregulated gene in human tumors. TUSC-T2 encodes a punctate cytoplasmic protein. Ectopic expression of TUSC-T2 dramatically inhibited tumor cell colony formation in silenced tumor cell lines, mainly through inducing apoptosis. TUSC-T2 interacts and downregulates Dishevelled (Dvl) protein, thus protecting glycogen synthase kinase 3β (GSK-3β) from inactivation by Wnt/Dvl and allowing GSK-3β to form a complex with Axin and APC to promote the phosphorylation and proteasomal degradation of β-catenin. Overexpression of TUSC-T2 disrupted β-catenin activation and accumulation in nuclei, thus preventing its binding to transcription factors of the Lef/Tcf family. This caused the downregulation of β-catenin target oncogenes such as c-Myc, CCND1 and Fibronectin as well as the inhibition of tumor cell proliferation and migration. We also observed that TUSC-T2 could inhibit tumor cell EMT. / Taken together, our data demonstrate that RASA5 and TUSC-T2 are functional tumor suppressors epigenetically silenced in multiple tumors through acting as negative regulators of the Ras or Wnt/Dvl/β-catenin cancer pathways, and could be developed as promising biomarkers for human tumors. Of note, our study reveals that epigenetic silencing of the Ras antagonist represents a new mechanism responsible for Ras aberrant activation in cancers with wild-type Ras. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Fan, Yichao. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2012. / Includes bibliographical references (leaves 184-216). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese. / Acknowledgements --- p.i / List of abbreviations --- p.ii-iii / List of tables --- p.iv / List of Figures --- p.v-vii / List of Publications --- p.viii-ix / Abstract in English --- p.x-xii / Abstract in Chinese --- p.xiii-xiv / Table of Contents --- p.xv / Chapter Chapter 1 --- Introduction and Literature Review --- p.1 / Chapter 1.1 --- Cancer epigenetics --- p.4 / Chapter 1.1.1 --- Epigenetic modifications --- p.5 / Chapter 1.1.1.1 --- DNA Methylation --- p.5 / Chapter 1.1.1.2 --- Histone modifications --- p.10 / Chapter 1.1.1.3 --- RNA interference --- p.14 / Chapter 1.1.1.4 --- Nucleosome positioning --- p.15 / Chapter 1.1.2 --- Epigenetic alteration induced Tumor suppressor genes (TSGs) silencing during carcinogenesis --- p.17 / Chapter 1.2 --- Epigenetic alterations in cancer pathways --- p.23 / Chapter 1.2.1 --- Brief introduction of cancer pathways --- p.23 / Chapter 1.2.2 --- Ras pathway --- p.25 / Chapter 1.2.2.1 --- Ras pathway and carcinogenesis --- p.25 / Chapter 1.2.2.2 --- Epigenetic regulation of RasGAP proteins in carcinogenesis --- p.28 / Chapter 1.2.2.3 --- Epigenetic silencing of other negative regulators of Ras signaling --- p.30 / RAS association domain family (RASSF) proteins --- p.30 / PTEN --- p.32 / Sprouty (SPRY) proteins --- p.33 / Chapter 1.2.2.4 --- Hypomethylation induced Ras oncogenes activation --- p.35 / Chapter 1.2.2.5 --- Ras mediates epigenetic regulation through feedback loop --- p.36 / Chapter 1.2.3 --- Wnt pathway --- p.43 / Chapter 1.2.3.1 --- Wnt signaling pathway and carcinogenesis --- p.43 / Chapter 1.2.3.2 --- Epigenetic silencing of negative regulators of Wnt signaling --- p.45 / Chapter 1.2.3.3 --- DACT family proteins and carcinogenesis --- p.48 / Chapter 1.3 --- Application of tumor specific epigenetic alterations as tumor biomarkers and therapeutic targets --- p.49 / Chapter 1.3.1 --- The potential and advantage of tumor specific epigenetic alterations used as tumor biomarkers and therapeutic targets --- p.49 / Chapter 1.3.2 --- Epigenetic-disrupted regulators of Ras signaling as tumor biomarkers and therapeutic targets --- p.50 / Chapter 1.3.3 --- Epigenetic-disrupted regulators of Wnt signaling as tumor biomarkers and therapeutic targets --- p.52 / Chapter Chapter 2 --- Aims of this study --- p.54 / Chapter 2.1 --- To identify epigenetically silenced candidate TSGs as antagonists to Ras or Wnt signaling --- p.55 / Chapter 2.2 --- To elucidate the functional of candidate TSGs --- p.56 / Chapter Chapter 3 --- Materials and Methods --- p.57 / Chapter 3.1 --- Cell lines, tumor samples and routine cell line maintenance --- p.57 / Chapter 3.2 --- Drug and stress treatments --- p.59 / Chapter 3.3 --- DNA and RNA extraction --- p.59 / Chapter 3.4 --- Semi-quantitative RT-PCR and Real time PCR --- p.60 / Chapter 3.5 --- Direct sequencing of PCR products --- p.67 / Chapter 3.6 --- CpG island analysis --- p.67 / Chapter 3.7 --- Bisulfite treatment --- p.67 / Chapter 3.8 --- Methylation-specific PCR (MSP) and bisulfite genomic sequencing --- p.68 / Chapter 3.9 --- Plasmid extraction --- p.69 / Chapter 3.9.1 --- Bacteria culture --- p.69 / Chapter 3.9.2 --- Mini-scale preparation of plasmid DNA --- p.70 / Chapter 3.9.3 --- Large-scale endotoxin-free plasmids extraction --- p.71 / Chapter 3.10 --- Construction of expression plasmids --- p.71 / Chapter 3.10.1 --- Gene cloning and plasmids construction of RASA5 --- p.71 / Chapter 3.10.2 --- Gene cloning and plasmids construction of TUSC-T2 --- p.74 / Chapter 3.11 --- Immunofluorescence Staining --- p.74 / Chapter 3.12 --- Colony formation assay --- p.76 / Chapter 3.13 --- Apoptosis assay --- p.77 / Chapter 3.14 --- Luciferase reporter assay --- p.78 / Chapter 3.15 --- Protein preparation and Western blot --- p.79 / Chapter 3.16 --- Ras Activity Assay --- p.80 / Chapter 3.17 --- Wound healing assay --- p.81 / Chapter 3.18 --- Matrigel invasion assay --- p.81 / Chapter 3.19 --- RNA Interference --- p.81 / Chapter 3.20 --- Statistical analysis --- p.82 / Chapter Chapter 4: --- Epigenetic disruption of Ras signaling through silencing of a Ras GTPase-activating protein RASA5 in human cancers --- p.83 / Chapter 4.1 --- Identification of RASA5 as a downregulated gene residing in the 6p21.3 deletion region --- p.86 / Chapter 4.2 --- RASA5 is widely expressed in human normal tissues but downregulated in tumor cell lines --- p.91 / Chapter 4.3 --- The tumor-specific downregulation pattern of RASA5 is unique in the RASA family genes --- p.95 / Chapter 4.4 --- RASA5 promoter CpG methylation resulted in its transcription inactivation --- p.96 / Chapter 4.5 --- Frequent methylation of RASA5 promoter in multiple primary tumors --- p.101 / Chapter 4.6 --- Cloning and characterization of human RASA5 --- p.104 / Chapter 4.7 --- RASA5 inhibits tumor cell clonogenicity through inducing apoptosis --- p.108 / Chapter 4.8 --- RasGAP domain is required for the tumor suppressive function of RASA5 --- p.111 / Chapter 4.9 --- Certain cancer types harbor wild type Ras but active Ras signaling, with RASA5 epigenetically silenced --- p.114 / Chapter 4.10 --- RASA5 antagonizes Ras signaling pathway --- p.117 / Chapter 4.10.1 --- RASA5 represses Ras signaling through downregulating Ras-GTP level --- p.117 / Chapter 4.10.2 --- Oncogenic mutant form of Ras abrogated colony formation inhibitory effect of RASA5 on tumor cells --- p.120 / Chapter 4.10.3 --- Knockdown of RASA5 promoted the tumor cell colony formation and Ras signaling activation --- p.122 / Chapter 4.10.4 --- RASA5 inhibits ERK1/2 nuclei translocation and activation --- p.123 / Chapter 4.10.5 --- RASA5 negatively regulates Ras target gene expression --- p.125 / Chapter 4.11 --- RASA5 inhibits tumor cell migration and invasion through the Ras/Rac/cofilin signaling --- p.127 / Chapter 4.12 --- RASA5 suppresses tumor cell epithelial-mesenchymal transition (EMT) and stemness --- p.133 / Chapter 4.13 --- RASA5 appears in the cellcell interaction region nanotubes --- p.139 / Chapter 4.14 --- Discussion --- p.141 / Chapter Chapter 5: --- The Wnt/Dvl signaling antagonist TUSC-T2 is a pro-apoptotic tumor suppressor epigenetically silenced in tumors and inhibits tumor cell proliferation and migration --- p.150 / Chapter 5.1 --- Expression of TUSC-T2 is downregulated in human tumors --- p.150 / Chapter 5.2 --- TUSC-T2 promoter methylation results in its transcriptional inactivation --- p.151 / Chapter 5.3 --- Cloning and characterization of TUSC-T2 --- p.155 / Chapter 5.4 --- TUSC-T2 inhibits tumor cell clonogenicity through inducing apoptosis --- p.157 / Chapter 5.5 --- TUSC-T2 inhibits Wnt/Dvl/β-catenin pathway --- p.161 / Chapter 5.6 --- TUSC-T2 suppresses cell migration and EMT through upregulating E-cadherin --- p.165 / Chapter 5.7 --- Discussion --- p.171 / Chapter Chapter 6: --- Conclusions --- p.176 / Chapter 6.1. --- RasGAP family member RASA5 is epigenetically silenced in human cancers, acting as a tumor suppressor through negatively regulating Ras signaling --- p.177 / Chapter 6.2. --- DACT family member TUSC-T2 functions as a candidate TSG silenced by promoter methylation and inhibits Wnt/Dvl/β-catenin pathway --- p.178 / Chapter Chapter 7: --- Future Studies --- p.181 / Chapter 7.1. --- Further functional study of RASA5 and TUSC-T2 --- p.181 / Chapter 7.2. --- Clinical application of epigenetic silenced candidate TSGs --- p.182 / Chapter 7.3. --- Further screening of candidate TSGs as antagonists to cancer pathways --- p.183 / Reference list --- p.184

The gene, cox-1, is over-expressed in cultured GLC4 small cell lung cancer cells concurrent with the development of multi-drug resistance (MDR) as a result of the use of the chemotherapeutic agent used to combat the cancer, doxorubicin. Prevention of MDR has been a tremendous challenge in cancer research and this research is concerned with abolishment of MDR as a cancer survival strategy. RNA-mediated interference technology (RNAi) was employed using siRNA to decrease cox-1 expression and temporarily restore the susceptibility of the cells to doxorubicin. GLC4 cells are of three types: S (sensitive cells never exposed to doxorubicin); ADR (MDR cells cultured in doxorubicin), and; REV (revertant cells previously cultured in presence of doxorubicin but no longer). REV and ADR cells were transfected with cox-1 siRNA. After 24 h, 1x106cells were used for RNA isolation and 1 μg of RNA was used for RT-PCR to assess down-regulation of cox-1 RNA. RT-PCR results indicated that cox-1 RNA was down-regulated to basal levels seen before exposure to doxorubicin. Ct values for GLC4/ADR and cox-1 down-regulated GLC4/ADR cells were 23 and 34, respectively. The result indicated abundant levels and moderate levels of cox-1 mRNA in the ADR cells and the transfected ADR cells respectively. The relative expression level of cox-1 mRNA was 33% higher in the non-transfected GLCR/ADR cells as compared to the transfected GLCR/ADR cells as shown by the curve. Two hundred thousand cells were used for hemacytometer cell counts in the presence of trypan blue to assess cell viability. cox-1 down-regulation in ADR cells resulted in a significantly higher percentage of non-viable cells (25.4%) as compared to its non-transfected control (20.5%) using a Student’s t-test (*P <0.05). Similarly, fluorescence microscopy confirmed that apoptosis was significantly increased in the ADR cells treated with doxorubicin and cox-1 siRNA simultaneously (69.4%) as compared to its non-transfected control (56.7%) (*= P <0.01). A Western blot analysis performed by Fernando Cuadrado indicated that siRNA transfection decreased the expression of COX-1 by 66% in GLC4/ ADR cells as compared to the non-transfected control using densitometry. However, no conclusive results were obtained using flow cytometry as the flow cytometer was incapable of analyzing the mixed cell population (adherent and suspension) which is a characteristic of this cell line, GLC4. Thus, we have clearly demonstrated that MDR cancer cells can be altered temporarily to become susceptible to doxorubicin, a potentially important finding for the treatment of cancer patients. / Department of Biology