Matching Items (23)
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- All Subjects: Cancer
- Creators: Harrington Bioengineering Program
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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
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
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
Description
Stromal cells play an important role in facilitating disease progression of ductal carcinoma. Cancer associated fibroblasts (CAFs) are an important component of the extracellular matrix (ECM) which constitutes the microenvironment of breast tumor cells. They are known to participate in chemotherapeutic drug resistance by modulating various biochemical and biophysical factors that contribute to increased matrix stiffness and collagen I density of the tumor-adjacent stroma. To address these issues in terms of patient treatment, anti-cancer drug regimes have been assembled to incorporate both chemotherapeutic as well as anti-fibrotic drugs to both target tumor cells while also diminishing the elastic modulus of the microenvironment by targeting CAFs. The quantitative assessment of these drug regimes on tumor progression is missing in terms of CAFs role alone.
A high density 3D tumor model was utilized to recapitulate the tumor microenvironment of ductal carcinoma in vitro. The tumor model consisted of MDA-MB-231 tumors seeded within micromolded collagen wells, chemically immobilized upon a surface treated PDMS substrate. CAFs were seeded within the greater collagen structure from which the microwells were formed. The combinatorial effect of anti-fibrotic drug (Tranilast) and chemotherapy drug (Doxorubicin) were studied within 3D co culture conditions. Specifically, the combinatorial effects of the drugs on tumor cell viability, proliferation, and invasion were examined dynamically upon coculture with CAFs using the microengineered model.
The results of the study showed that the combinatorial effects of Tranilast and Doxorubicin significantly decreased the proliferative ability of tumor cells, in addition to significantly decreasing the ability of tumor cells to remain viable and invade their surrounding stroma, compared to control conditions.
A high density 3D tumor model was utilized to recapitulate the tumor microenvironment of ductal carcinoma in vitro. The tumor model consisted of MDA-MB-231 tumors seeded within micromolded collagen wells, chemically immobilized upon a surface treated PDMS substrate. CAFs were seeded within the greater collagen structure from which the microwells were formed. The combinatorial effect of anti-fibrotic drug (Tranilast) and chemotherapy drug (Doxorubicin) were studied within 3D co culture conditions. Specifically, the combinatorial effects of the drugs on tumor cell viability, proliferation, and invasion were examined dynamically upon coculture with CAFs using the microengineered model.
The results of the study showed that the combinatorial effects of Tranilast and Doxorubicin significantly decreased the proliferative ability of tumor cells, in addition to significantly decreasing the ability of tumor cells to remain viable and invade their surrounding stroma, compared to control conditions.
ContributorsSilva, Casey Rudolph (Author) / Nikkhah, Mehdi (Thesis director) / Saini, Harpinder (Committee member) / Harrington Bioengineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Tumor-stroma interactions significantly influence cancer cell metastasis and disease progression. These interactions partly comprise crosstalk between tumor and stromal fibroblasts, but the key molecular mechanisms within the crosstalk governing cancer invasion are still unclear. Here we develop a 3D in vitro organotypic microfluidic to model tumor-stroma interaction by mimicking the spatial organization of the tumor microenvironment on a chip. We co-culture breast cancer and patient-derived fibroblast cells in 3D tumor and stroma regions respectively and combine functional assessments, including cancer cell migration, with transcriptome profiling to unveil the molecular influence of tumor-stroma crosstalk on invasion. This led to the observation that cancer associated fibroblasts enhanced invasion in 3D by inducing the expression of a novel gene of interest, GPNMB, in breast cancer cells resulting in increased migration speed. Importantly, knockdown of GPNMB blunted the influence of CAFs on enhancing cancer invasion. Overall, these results demonstrate the ability of our model to recapitulate patient specific tumor microenvironment to investigate cellular and molecular consequences of tumor-stroma interactions.
ContributorsBarrientos, Eric Salvador (Author) / Nikkhah, Mehdi (Thesis director) / Veldhuizen, Jaime (Committee member) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Malignant Pleural Mesothelioma (MPM) is an aggressive deadly tumor that has few therapeutic options. Immunotherapies have shown great potential in alleviating MPM patient symptoms. Using patient data from the Cancer Genome Atlas (TCGA) we sought to identify mutations, regulators, and immune factors driving immune cell migration. We explored computational methods to define regulatory causal flows in order to make biological predictions. These predictions were verified by cross-referencing peer-reviewed articles. A disease-relevant inference model was developed to examine the chemokine IL-18’s effect on natural killer cell (NK cell) migration.
ContributorsWipper, Gabrielle Frances (Author) / Plaisier, Christopher (Thesis director) / Plaisier, Seema (Committee member) / Harrington Bioengineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Nutritional support offered before and during chemotherapy treatment is proven to improve the outcomes of treatment (Bernhardson, 2016). This project seeks to examine current forms of nutritional support offered to patients, as well as the models of care and support teams in cancer treatment centers. The basis for this project incorporated personal experiences at M.D. Anderson Cancer Center in Gilbert, Arizona as well as research into the work of clinical oncology dietitians. An intense interest in food videos and blogs also informed this project, and was incorporated in the hope of providing chemotherapy patients a platform to discover recipes specific to their unique situation. The combination of this research was utilized to create several videos which demonstrated specific recipes beneficial for patients as well as creating a platform for this particular population. While nutritional support can take multiple forms, the focus of nutritional support surrounds symptom management. The common side effects of chemotherapy such as nausea, mucositis (mouth sores), and extreme weight loss were taken into account. Recipes were formulated to directly address these conditions and each recipe was broken down into the benefits of both macronutrients and micronutrients. In addition to formulating specific recipes and videos, barriers to proper nutritional support were examined and explained. These barriers include understaffing of clinical dietitians at cancer treatment centers, a patient's lack of transportation to and from treatments, as well as an overwhelming viewpoint that nutritional support is only required for extreme cases of malnutrition. Combatting these barriers and offering more forms of nutritional support will help to increase a patient's positive response to treatment, manage their symptoms, and improve their overall quality of life.
ContributorsMonteilh, Christina Eleanor (Author) / Levinson, Simin (Thesis director) / Martinelli, Sarah (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
After more than 40 years since the signing of the National Cancer Act in 1970, cancer remains a formidable challenge. Cancer is currently the second most common cause of death in the United States, and worldwide cancer cases are projected to rise 50% between 2012 and 2030 [1-2]. While researchers have dramatically expanded our understanding of the biology of cancer, they have also revealed the staggering complexity and difficulty of developing successful treatments for the disease. More complex assays involving three dimensional cell culture offer the potential to model complex interactions, such as those involving the extracellular matrix (ECM), chemical concentration gradients, and the impact of vascularization of a tissue mass. Modern cancer assays thus promise to be both more accurate and more complex than previous models. One promising newly developed type of assay is microfluidics. Microfluidic devices consist of a silicone polymer stamp bonded to a glass slide. The stamp is patterned to produce a network of channels for cell culture. These devices allow manipulation of liquids on a sub-millimeter level, allowing researchers to produce a tightly controlled 3D microenvironment for cell culture. Our lab previously developed a microfluidic device to measure cancer cell invasion in response to a variety of signals and conditions. The small volume associated with microfluidics offers a number of advantages, but simultaneously make it impractical to use certain traditional cell analysis procedures, such as Western Blotting. As a result, measuring protein expression of cells in the microfluidic device was a continuing challenge. In order to expand the utility of microfluidic devices, it was therefore very enticing to develop a means of measuring protein expression inside the device. One possible solution was identified in the technique of In-Cell-Western blotting (ICW). ICW consists of using infrared-fluorescently stained antibodies to stain a protein of interest. This signal is measured using an infrared laser scanner, producing images that can be analyzed to quantitatively measure protein expression. ICW has been well validated in traditional 2D plate culture conditions, but has not been applied in conjunction with microfluidic devices. This project worked to evaluate In-Cell-Western blotting for use in microfluidic devices as a method of quantifying protein expression in situ.
ContributorsKratz, Alexander Franz (Author) / Nikkhah, Mehdi (Thesis director) / Truong, Danh (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05