Matching Items (36)
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- All Subjects: Cancer
- Creators: Harrington Bioengineering Program
- Creators: Dean, W.P. Carey School of Business
- Member of: Theses and Dissertations
Description
Glioblastoma Multiforme (GBM) is an aggressive and deadly form of brain cancer with a median survival time of about a year with treatment. Due to the aggressive nature of these tumors and the tendency of gliomas to follow white matter tracks in the brain, each tumor mass has a unique growth pattern. Consequently it is difficult for neurosurgeons to anticipate where the tumor will spread in the brain, making treatment planning difficult. Archival patient data including MRI scans depicting the progress of tumors have been helpful in developing a model to predict Glioblastoma proliferation, but limited scans per patient make the tumor growth rate difficult to determine. Furthermore, patient treatment between scan points can significantly compound the challenge of accurately predicting the tumor growth. A partnership with Barrow Neurological Institute has allowed murine studies to be conducted in order to closely observe tumor growth and potentially improve the current model to more closely resemble intermittent stages of GBM growth without treatment effects.
ContributorsSnyder, Lena Haley (Author) / Kostelich, Eric (Thesis director) / Frakes, David (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Harrington Bioengineering Program (Contributor)
Created2014-05
Description
Breast and other solid tumors exhibit high and varying degrees of intra-tumor heterogeneity resulting in targeted therapy resistance and other challenges that make the management and treatment of these diseases rather difficult. Due to the presence of admixtures of non-neoplastic cells with polyclonal cell populations, it is difficult to define cancer genomes in patient samples. By isolating tumor cells from normal cells, and enriching distinct clonal populations, clinically relevant genomic aberrations that drive disease can be identified in patients in vivo. An in-depth analysis of clonal architecture and tumor heterogeneity was performed in a stage II chemoradiation-naïve breast cancer from a sixty-five year old patient. DAPI-based DNA content measurements and DNA content-based flow sorting was used to to isolate nuclei from distinct clonal populations of diploid and aneuploid tumor cells in surgical tumor samples. We combined DNA content-based flow cytometry and ploidy analysis with high-definition array comparative genomic hybridization (aCGH) and next-generation sequencing technologies to interrogate the genomes of multiple biopsies from the breast cancer. The detailed profiles of ploidy, copy number aberrations and mutations were used to recreate and map the lineages present within the tumor. The clonal analysis revealed driver events for tumor progression (a heterozygous germline BRCA2 mutation converted to homozygosity within the tumor by a copy number event and the constitutive activation of Notch and Akt signaling pathways. The highlighted approach has broad implications in the study of tumor heterogeneity by providing a unique ultra-high resolution of polyclonal tumors that can advance effective therapies and clinical management of patients with this disease.
ContributorsLaughlin, Brady Scott (Author) / Ankeny, Casey (Thesis director) / Barrett, Michael (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor) / School for the Science of Health Care Delivery (Contributor)
Created2015-05
Description
The purpose of this project was to examine the viability of protein biomarkers in pre-symptomatic detection of lung cancer. Regular screening has been shown to vastly improve patient survival outcome. Lung cancer currently has the highest occurrence and mortality of all cancers and so a means of screening would be highly beneficial. In this research, the biomarker neuron-specific enolase (Enolase-2, eno2), a marker of small-cell lung cancer, was detected at varying concentrations using electrochemical impedance spectroscopy in order to develop a mathematical model of predicting protein expression based on a measured impedance value at a determined optimum frequency. The extent of protein expression would indicate the possibility of the patient having small-cell lung cancer. The optimum frequency was found to be 459 Hz, and the mathematical model to determine eno2 concentration based on impedance was found to be y = 40.246x + 719.5 with an R2 value of 0.82237. These results suggest that this approach could provide an option for the development of small-cell lung cancer screening utilizing electrochemical technology.
ContributorsEvans, William Ian (Author) / LaBelle, Jeffrey (Thesis director) / Spano, Mark (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2014-05
Description
This thesis details the impact of sustainable practices, or lack thereof, among IKEA and Chanel. It takes these principles and analyzes the effectiveness of them and works to implement them across industries and companies of different sizes and organizational structures.
ContributorsL'Heureux, Kendall James (Author) / Foote, Nicola (Thesis director) / Alcantara, Christiane (Committee member) / Department of Marketing (Contributor) / Dean, W.P. Carey School of Business (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
One of the most pressing questions in economics is “why are some countries richer than others?” One methodology designed to help answer the question is known as “Development Accounting,” a framework that organizes the determinants of income into two categories: differences in inputs and differences in efficiency. The objective of our work is to study to what extent differences in the levels of pollution can help explain income differences across countries. To do this, we adjusted a factor-only model to allow us to enter PM2.5, a measure of pollution that tracks the concentration of fine particulate matter in the air and looked to see if the model’s predictive power improved. We ultimately find that we can improve the model’s success in predicting GDP by .5 - 6%. Thus, pollution is unlikely to be a major force in understanding cross-country income differences, but it can be used with other economic factors to potentially magnify its impact with other additions in the future.
ContributorsShelton, Jacinda Bridget (Co-author) / Perdue, Liam (Co-author) / Datta, Manjira (Thesis director) / Vereshchagina, Galina (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
When an individual is conceived there is a metaphorical roll of the dice. A game of chance is played with their genetics to which they cannot consent. Unlucky players could have inherited mild conditions such as chronic allergies to terrible diseases such as Cystic Fibrosis or Tay-Sachs. Controlling the genetics of an individual through the use of gene editing technology could be the key to ending this cycle of genetic diseases. Once detrimental diseases are now being cured through direct applications of genetic engineering. Even as we see the uses of genetic engineering technologies change the world, the more “sci-fi” applications have yet to be fully realized or explored. Editing hereditary genes before birth may have the ability to eliminate diseases from entire genetic lines, reduce the possibility for certain cancers and diseases, and perhaps even modify phenotypes in humans to create enhanced humans. Although this scientific field shows promise, it does have its reservations. Like any other scientific field, its ability to benefit humanity depends on its use.
ContributorsSchuler, Jacob (Co-author) / Silva, Anthony (Co-author) / Brian, Jennifer (Thesis director) / Ross, Christian (Committee member) / Harrington Bioengineering Program (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
A major challenge with tissue samples used for biopsies is the inability to monitor their molecular quality before diagnostic testing. When tissue is resected from a patient, the cells are removed from their blood supply and normal temperature-controlled environment, which causes significant biological stress. As a result, the molecular composition and integrity undergo significant change. Currently, there is no method to track the effects of these artefactual stresses on the sample tissue to determine any deviations from the actual patient physiology. Without a way to track these changes, pathologists have to blindly trust that the tissue samples they are given are of high quality and fit for molecular analysis; physicians use the analysis to make diagnoses and treatment plans based on the assumption that the samples are valid. A possible way to track the quality of the tissue is by measuring volatile organic compounds (VOCs) released from the samples. VOCs are carbon-based chemicals with high vapor pressure at room temperature. There are over 1,800 known VOCs within humans and a number of these exist in every tissue sample. They are individualized and often indicative of a person’s metabolic condition. For this reason, VOCs are often used for diagnostic purposes. Their usefulness in diagnostics, reflectiveness of a person’s metabolic state, and accessibility lends them to being beneficial for tracking degradation. We hypothesize that there is a relationship between the change in concentration of the volatile organic compounds of a sample, and the molecular quality of a sample. This relationship is what would indicate the accuracy of the tissue quality used for a biopsy in relation to the tissue within the body.
ContributorsSharma, Nandini (Co-author) / Fragoso, Claudia (Co-author) / Grenier, Tyler (Co-author) / Hanson, Abigail (Co-author) / Compton, Carolyn (Thesis director) / Tao, Nongjian (Committee member) / Moakley, George (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Economists, policy-makers, and various intellectuals have consistently debated the strongest way to support citizens. Lately, however, the simplest idea has managed to gain an unbelievable amount of traction. Maybe, rather than a complex policy solution targeted towards to certain demographics and with various work requirements we should simply give people money. The beauty of the idea is in its simplicity – and it is a key reason for its growing popularity. Universal Basic Income (UBI) is a policy proposal that has been steadily gaining momentum throughout the United States and across the world. Recently, it has been viewed as a stimulus to the economy in the wake of the Coronavirus (COVID-19) pandemic as well as a solution to labor-displacing technological advancements. Additionally, many economists, politicians, and various thought-leaders have portrayed basic income as a one-stop solution to many challenges facing the world. The idea behind UBI comes down to this idea – basic income will not solve all your problems – it makes your problems easier to solve. Many UBI advocates use that phrase to argue in favor for a basic income, but it is important to ensure that it doesn’t add to most people’s problems by discouraging work and encouraging seemingly unhealthy habits.
ContributorsRamesh, Neel (Author) / Hill, Alexander (Thesis director, Committee member) / Dean, W.P. Carey School of Business (Contributor, Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The purpose of this analysis is to determine the economic impact that the distribution of the SolarSPELL digital library system to Peace Corps volunteers in Vanuatu will have on the citizens of Vanuatu by quantifying the potential for SolarSPELL and its health education content to reduce rates of certain illnesses and thereby reduce the demands on the Vanuatu healthcare system. The research was carried out by researching the most prominent non-communicable diseases in Vanuatu that could be affected by lifestyle changes as a result of exposure to the health education content on the SolarSPELL and determining the expected changes in rates of each non-communicable disease as well as the expected changes in the individual and hospital costs, the loss of income due to missed work, transport costs within Vanuatu, and international medical evacuation costs. Ultimately, these costs were collectively reduced by approximately 2.046% due to SolarSPELL intervention, a reduction of approximately $7,000. However, given the limited scope of available information within the healthcare system of Vanuatu, it can be inferred that the impact of the distribution of the SolarSPELL is likely significantly larger. Consequently, it is recommended that the Vanuatu Ministry of Health, the SolarSPELL team, and the Peace Corps implement policies to increase the volume of healthcare data collected in Vanuatu in order to assist in future analyses of the healthcare system.
ContributorsErspamer, Brett Thomas (Author) / Ross, Heather (Thesis director) / Silverman, Daniel (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
YAP/TAZ is the key effector in the Hippo pathway, but it is also involved in many other regulatory pathways to control tissue and organ size. To better understand its regulation and effects in tumorigenesis and degeneration, a preliminary feedback network was created with the species YAP/TAZ, phosphorylated YAP/TAZ, LATS, miR-130a, VGLL4, and β-catenin. From this network a set of ordinary differential equations were written and analyzed for parameter effects. A model showing the healthy, tumorigenic, and degenerative states was created and preliminary parameter analysis identified the effects of parameter modifications on the overall levels of YAP/TAZ. Further analysis is required and connections with the underlying biology should continue to be pursued to better understand how parameter modifications could improve disease treatments.
ContributorsSussex, Erin Nicole (Author) / Tian, Xiaojun (Thesis director) / Wang, Xiao (Committee member) / School of International Letters and Cultures (Contributor) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05