Includes bibliographies. / [xvii], 173, [38] leaves, [18] leaves of plates : / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / This thesis presents the development of an assay for reverse transcription-polymerase chain reaction (RT-PCR) to be applied to the immunomagnetic isolation of carcinoma cells, as a possible means of detecting small numbers of breast cancer cells in a haemopoietic environment. The messenger RNA expression of two different genes, CD44 and the cytokeratin K19, is assessed for suitability as tumour markers for the Immunobead RT-PCR method, and clinical results using K19 are presented. / Thesis (M.D.)--University of Adelaide, Dept. of Medicine, 1977?

published_or_final_version / abstract / toc / Surgery / Doctoral / Doctor of Philosophy

Thesis (PhD (Pathology. Anatomical Pathology))--University of Stellenbosch, 2006. / Patients with chronic gastro-oesophageal reflux disease are predisposed to Barrett’s metaplasia and oesophageal adenocarcinoma. The availability of molecular markers that can objectively identify patients with Barrett’s oesophagus at increased risk of carcinoma is highly desirable. A literature search was conducted to identify potentially useful biomarkers for genotype-phenotype correlation studies in South African patients with Barrett’s oesophagus. The COX-2, c-myb and c-myc genes selected for mRNA expression analysis were analysed in 26 patients with Barrett’s metaplasia (BM) without dysplasia; 14 with Barrett’s oesophagus and dysplasia (BD); 2 patients with Barrett’s adenocarcinoma (BAC); 19 with erosive oesophagitis (ERD); 25 with non-erosive oesophagitis (NERD) and 19 control individuals with a normal gastroscopy and no gastro-oesophageal reflux disease (GORD) symptoms. In the BD/BAC group, 69% (11/16) showed increased c-myb mRNA expression compared with 35% (9/26) in the BM group (p = 0.03). A statistically significant difference (p = 0.002) in c-myb expression was also observed between Barrett’s patients (20/42, 48%) and the control groups (9/63, 14%). In the BD patients, 21% (3/14) had increased c-myc mRNA expression compared with none in those with BM (p < 0.05) and BAC. No significant differences in mRNA expression levels were observed between ethnic groups for the genes analysed. In an attempt to determine whether the low expression level of c-myc in the study cohort may be related to possible gene-gene interaction, DNA samples of 199 individuals were subjected to genotyping of the functional GT-repeat polymorphism in the promoter region of the NRAMP1/SLC11A1 gene. Both these genes are involved in iron metabolism and c-myc is known to repress NRAMP1/SLC11A1. Genotype and allele frequencies were similar in all the groups studied with the 3/3 genotype being the most common. However, none of the three above-mentioned BD patients with increased c-myc mRNA expression had the 3/3 genotype. Therefore, although small in number, c-myc-NRAMP1/SLC11A1 interaction may be of adverse significance in patients with allele 2. TP53 mutation analysis was performed on 68 Barrett’s patients, and TP53 immuno-staining on oesophageal biopsy specimens of 55 subjects. Sporadic TP53 mutations were not identified in any of the patients with BM or dysplasia without BAC. Immuno-histochemistry staining of 2+ and 3+ intensity was similar in patients with metaplasia and dysplasia (58%). The low mutation frequency and relative non-specificity of TP53 immunostaining observed in Barrett’s patients seem to preclude its widespread use as a screening tool. TP53 mutation detection may however be useful for risk stratification once dysplasia has been diagnosed, as mutations G245R and D281Y were identified in two patients with BAC. Of the genes studied in the South African population, c-myb represents the most useful marker for early detection of an increased cancer risk in Barrett’s patients. In future, patients with Barrett’s oesophagus may benefit from genetic assessment to complement existing cancer surveillance and treatment strategies.

MicroRNAs (miRNAs) may serve as diagnostic and predictive biomarkers for cancer. The aim of this study was to identify novel cancer biomarkers from miRNA datasets, in addition to those already known. Three published miRNA cancer datasets (liver, breast, and brain) were evaluated, and the performance of the entire feature set was compared to the performance of individual feature filters, an ensemble of those filters, and a support vector machine (SVM) wrapper. In addition to confirming many known biomarkers, the main contribution of this study is that seven miRNAs have been newly identified by our ensemble methodology as possible important biomarkers for hepatocellular carcinoma or breast cancer, pending wet lab confirmation. These biomarkers were identified from miRNA expression datasets by combining multiple feature selection techniques (i.e., creating an ensemble) or by the SVM-wrapper, and then classified by different learners. Generally speaking, creating a subset of features by selecting only the highest ranking features (miRNAs) improved upon results generated when using all the miRNAs, and the ensemble and SVM-wrapper approaches outperformed individual feature selection methods. Finally, an algorithm to determine the number of top-ranked features to include in the creation of feature subsets was developed. This algorithm takes into account the performance improvement gained by adding additional features compared to the cost of adding those features. / by Alex Kotlarchyk. / Thesis (Ph.D.)--Florida Atlantic University, 2011. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2011. Mode of access: World Wide Web.

Brain and central nervous cancer presents a significant clinical burden, accounting for 2.4% of all cancer deaths. High grade glioma is particularly deadly, with 5 year survival times of 35% or less. Traditional treatment includes tumor resection followed by radiation therapy or chemotherapy. Aggressive resection is essential in order to prolong patient life. In fact, several studies have shown that life expectancy increases with increased extent of resection. Extent of resection is burdened by the fact that surgeons must be careful not to remove functional brain tissue. Resection is incomplete more often than not due to lack of visual cues for the surgeon. He must rely on tactile sensation to distinguish tumor from healthy tissue. Methods such as intraoperative MRI and CT exist, but these require expensive equipment and special training that is not available in all surgical environments. Some laboratories have proposed small molecule dyes to solve this problem, but these are insufficient when used in an invasive tumor model. It was the goal of this research to provide an objective cue in the form of a nanoencapsulated visible dye without the need for additional equipment of changes to the surgery process itself other than injection of the dye. We hypothesized that the nanocarrier would allow staining of the tumor through passive targeting by taking advantage of the enhanced permeability and retention effect. Once the nanocarriers have reached the desired target, they would not diffuse out into healthy tissue due to their large size compared to small molecule dyes, which readily diffuse out and stain healthy tissue. To test this hypothesis, we prepared and characterized a liposomal nanocarrier encapsulating Evans blue dye. The nanocarrier was tested for safety in vitro and in vivo, then used to delineate tumor margins in an invasive rat glioma model in vivo. Microscopic analysis was then conducted to ensure only tumor tissue was stained by the nanocarrier. This thesis presents a successful method of tumor border delineation to provide surgeons with positive visual cues without the need for changes in surgical environment or techniques.

Wong, Wai Ki Vicky. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (leaves 105-131). / Abstracts in English and Chinese. / Abstract --- p.ii / 摘要 --- p.iv / Acknowledgements --- p.vi / Table of contents --- p.vii / List of tables --- p.xii / List of figures --- p.xiii / List of abbreviations --- p.xiv / Chapter Chapter 1: --- Introduction --- p.1 / Chapter Chapter 2: --- Colorectal cancer / Chapter 2.1 --- Literature Review / Chapter 2.1.1 --- Colorectal cancer --- p.8 / Chapter 2.1.2 --- Incident rate of colorectal cancer --- p.8 / Chapter 2.1.3 --- Hereditary colorectal cancer --- p.9 / Chapter 2.1.4 --- Sporadic colorectal cancer and Wnt signaling pathway --- p.10 / Chapter 2.1.5 --- Chemotherapy treatment of colorectal cancer --- p.11 / Chapter 2.1.5.1 --- 5-Fluorouracil --- p.12 / Chapter 2.1.5.2 --- Oxaliplatin --- p.14 / Chapter 2.1.5.3 --- Irinotecan --- p.14 / Chapter 2.1.6 --- Biomarkers for colorectal cancer --- p.15 / Chapter 2.1.6.1 --- Thymidylate synthase --- p.15 / Chapter 2.1.6.2 --- Dihydropyrimidine dehydrogenase --- p.16 / Chapter 2.1.6.3 --- Thymidine phosphorylase --- p.16 / Chapter 2.1.6.4 --- Microsatellite-instability status --- p.16 / Chapter 2.1.6.5 --- Clinical uses of biomarkers for colorectal cancer --- p.17 / Chapter 2.1.7 --- Choice of cell line as colorectal cancer model --- p.17 / Chapter 2.1.8 --- Aims of study --- p.17 / Chapter 2.2 --- Materials and Methods / Chapter 2.2.1 --- Verification of SW480 as a nuclear β-catenin positive cell line / Chapter 2.2.1.1 --- Maintenance of cell lines --- p.21 / Chapter 2.2.1.2 --- Antibody --- p.21 / Chapter 2.2.1.3 --- Agar block preparation for SW480 and CCD-18C0 cells --- p.22 / Chapter 2.2.1.4 --- Immunocytochemical staining --- p.22 / Chapter 2.2.2 --- Effect of anti-cancer drugs on cell viability / Chapter 2.2.2.1 --- Maintenance of cell lines --- p.22 / Chapter 2.2.2.2 --- MTT cell viability assay --- p.23 / Chapter 2.3 --- Results / Chapter 2.3.1 --- SW480 is a β-catenin positive cell line --- p.24 / Chapter 2.3.2 --- Antiproliferative effects of cytotoxic drugs in SW480 cells / Chapter 2.3.2.1 --- 5-Fluorouracil --- p.26 / Chapter 2.3.2.2 --- Oxaliplatin --- p.29 / Chapter 2.3.2.3 --- Irinotecan --- p.31 / Chapter 2.4 --- Discussion / Chapter 2.4.1 --- SW480 as a nuclear β-catenin positive cell line --- p.33 / Chapter 2.4.2 --- Antiproliferative effects of 5-fluorouracil in SW480 cells --- p.33 / Chapter 2.4.3 --- Summary --- p.34 / Chapter Chapter 3: --- Effect of 5-fluorouracil on mRNA expression in SW480 cells / Chapter 3.1 --- Literature Review / Chapter 3.1.1 --- Application of quantitative real-time polymerase chain reaction in cancer research / Chapter 3.1.1.1 --- Principles of quantitative real-time polymerase chain reaction --- p.36 / Chapter 3.1.1.2 --- Advantages of quantitative real-time polymerase chain reaction over conventional polymerase chain reaction --- p.39 / Chapter 3.1.1.3 --- Determination of colorectal cancer biomarkers by quantitative real-time polymerase chain reaction --- p.39 / Chapter 3.2 --- Materials and Methods / Chapter 3.2.1 --- Determination of the effect of 5-fluorouracil on mRNA expression in SW480 cells / Chapter 3.2.1.1 --- Treatment of cells --- p.40 / Chapter 3.2.1.2 --- Extraction of total RNA from SW480 cells --- p.40 / Chapter 3.2.1.3 --- Removal of genomic DNA --- p.41 / Chapter 3.2.1.4 --- Determination of the efficiency of genomic DNA removal --- p.42 / Chapter 3.2.1.5 --- Determination of the purity and concentration of RNA --- p.42 / Chapter 3.2.1.6 --- Determination of the integrity of RNA --- p.43 / Chapter 3.2.1.7 --- First strand cDNA synthesis --- p.44 / Chapter 3.2.1.8 --- Real-time polymerase chain reaction using human Wnt signaling pathway RT2 ProfileŕёØ PCR array --- p.44 / Chapter 3.2.1.9 --- Calculation of the fold-change in genes expression between the 5-FU treated and control SW480 cells --- p.45 / Chapter 3.3 --- Results / Chapter 3.3.1 --- The quality and quantity of RNA --- p.46 / Chapter 3.3.2 --- Effects of 5-fluorouracil on genes expression in SW480 cells --- p.48 / Chapter 3.4 --- Discussion / Chapter 3.4.1 --- Alterations in mRNA expression in 5-fluorouracil treated SW480 cells --- p.55 / Chapter 3.4.1.1 --- Extracellular signaling molecules --- p.55 / Chapter 3.4.1.2 --- Canonical Wnt signaling pathway --- p.56 / Chapter 3.4.1.3 --- Regulators of cell cycle --- p.57 / Chapter 3.4.1.4 --- Regulators of growth and proliferation --- p.58 / Chapter 3.4.1.5 --- Regulators of transcription --- p.58 / Chapter 3.4.1.6 --- Regulators of Wnt receptor signaling pathway --- p.60 / Chapter 3.4.1.7 --- Other genes involved in Wnt signaling --- p.61 / Chapter 3.4.2 --- Limitations of Q-RT-PCR --- p.61 / Chapter 3.4.3 --- Summary --- p.62 / Chapter Chapter 4: --- Effect of 5-fluorouracil on proteins expression in SW480 cells / Chapter 4.1 --- Literature Review / Chapter 4.1.1 --- From mRNA to proteins --- p.63 / Chapter 4.1.2 --- Application of proteomics in cancer research --- p.63 / Chapter 4.1.3 --- Two-dimensional gel electrophoresis --- p.64 / Chapter 4.1.4 --- Principles of MALDI TOF mass spectrometry --- p.64 / Chapter 4.1.5 --- Peptide mass fingerprinting --- p.65 / Chapter 4.1.6 --- Drug response proteins detected by proteomics in colorectal cancer cell lines --- p.65 / Chapter 4.1.7 --- Detection of biomarker in colorectal cancer formation using proteomics --- p.66 / Chapter 4.2 --- Materials and Methods / Chapter 4.2.1 --- Determination of the effect of 5-fluorouracil on proteins expression in SW480 cells / Chapter 4.2.1.1 --- Treatment of cells --- p.67 / Chapter 4.2.1.2 --- Cell lysis --- p.67 / Chapter 4.2.1.3 --- Protein quantitation of cell lysate --- p.67 / Chapter 4.2.1.4 --- Sample preparation for two-dimensional electrophoresis --- p.68 / Chapter 4.2.1.5 --- Two-dimensional electrophoresis --- p.69 / Chapter 4.2.1.6 --- Silver staining --- p.69 / Chapter 4.2.1.7 --- Image analysis --- p.70 / Chapter 4.2.1.8 --- In-gel protein digestion --- p.70 / Chapter 4.2.1.9 --- Peptide mass fingerprinting using mass spectrometry --- p.71 / Chapter 4.3 --- Results / Chapter 4.3.1 --- Protein expression patterns of 5-fluorouracil treated and untreated SW480 cells by 2-dimensional electrophoresis --- p.72 / Chapter 4.3.2 --- Identification of the differentially expressed proteins after 5-fluorouracil treatment in SW480 cells --- p.75 / Chapter 4.4 --- Discussion / Chapter 4.4.1 --- Effects of 5-fluorouracil on protein expression in SW480 cells --- p.82 / Chapter 4.4.1.1 --- Identified upregulated proteins after 5-fluorouracil treatment in SW480 cells / Chapter 4.4.1.1.1 --- Cyclophilin A --- p.83 / Chapter 4.4.1.1.2 --- Cytokeratin 19 --- p.83 / Chapter 4.4.1.1.3 --- Cytokeratin 8 --- p.84 / Chapter 4.4.1.1.4 --- RAN --- p.84 / Chapter 4.4.1.1.5 --- Heat shock protein 27 --- p.84 / Chapter 4.4.1.1.6 --- Peroxiredoxin 6 --- p.85 / Chapter 4.4.1.2 --- Identified dowiiregulated proteins after 5-fluorouracil treatment in SW480 cells / Chapter 4.4.1.2.1 --- Heat shock protein 60 --- p.86 / Chapter 4.4.1.2.2 --- Cytokeratin 18 --- p.86 / Chapter 4.4.1.2.3 --- Cytokeratin 9 --- p.86 / Chapter 4.4.1.2.4 --- Carbamoylphosphate synthetase I --- p.87 / Chapter 4.4.1.2.5 --- a-Enolase --- p.87 / Chapter 4.4.1.2.6 --- Heat shock protein 70 --- p.87 / Chapter 4.4.1.2.7 --- nm23 --- p.88 / Chapter 4.4.1.2.8 --- β-actin --- p.88 / Chapter 4.4.2 --- Limitations of proteomics profiling --- p.89 / Chapter 4.4.3 --- Summary --- p.90 / Chapter Chapter 5: --- Verification of proteinśة identities by immunocytochemical staining / Chapter 5.1 --- Materials and Methods / Chapter 5.1.1 --- Antibodies --- p.91 / Chapter 5.1.2 --- Treatment of cells --- p.91 / Chapter 5.1.3 --- Agar block preparation of SW480 cells --- p.92 / Chapter 5.1.4 --- Immunocytochemical staining and evaluation --- p.92 / Chapter 5.1.5 --- Polymer-based immunohistochemical detection system --- p.93 / Chapter 5.1.6 --- Statistical analyses --- p.93 / Chapter 5.2 --- Results / Chapter 5.2.1 --- Confirmation of proteomic findings using immunocytochemical stainings in paraffin-embedded sections of 5-fluorouracil treated and untreated SW480 cells --- p.94 / Chapter 5.3 --- Discussion / Chapter 5.3.1 --- Immunocytochemical staining to verify proteomics findings of 5-fluorouracil treated and untreated SW480 cells --- p.99 / Chapter 5.3.2 --- Limitations of ICC staining --- p.100 / Chapter 5.3.3 --- Summary --- p.100 / Chapter Chapter 6: --- Conclusions and future perspectives / Chapter 6.1 --- Significance of study --- p.101 / Chapter 6.2 --- Future perspectives --- p.102 / References --- p.105