Matching Items (47)
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- All Subjects: Cancer
- All Subjects: Children
- Creators: Department of Psychology
- Creators: Harrington Bioengineering Program
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Member of: Theses and Dissertations
- Resource Type: Text
Description
This purpose of this thesis study was to examine variables of the "War on Cancer" frame, loss-gain prime, and patient gender on treatment decision for advanced cancer patients. A total of 291 participants (141 females) participated in an online survey experiment and were randomly assigned to one of eight possible conditions, each of which were comprised of a combination of one of two levels for three total independent variables: war frame ("War on Cancer" frame or neutral frame), loss-gain prime (loss prime or gain prime), and patient gender (female or male). Each of the three variables were operationalized to determine whether or not the exposure to the war on cancer paradigm, loss-frame language, or male patient gender would increase the likelihood of a participant choosing a more aggressive cancer treatment. Participants read a patient scenario and were asked to respond to questions related to motivating factors. Participants were then asked to report preference for one of two treatment decisions. Participants were then asked to provide brief demographic information in addition to responding to questions about military history, war attitudes, and cancer history. The aforementioned manipulations sought to determine whether exposure to various factors would make a substantive difference in final treatment decision. Contrary to the predicted results, participants in the war frame condition (M = 3.85, SD = 1.48) were more likely to choose the pursuit of palliative care (as opposed to aggressive treatment) than participants in the neutral frame condition (M = 3.54, SD = 1.23). Ultimately, these significant findings suggest that there is practical information to be gained from treatment presentation manipulations. By arming healthcare providers with a more pointed understanding of the nuances of treatment presentation, we can hope to empower patients, their loved ones, and healthcare providers entrenched in the world of cancer treatment.
ContributorsKnowles, Madelyn Ann (Author) / Kwan, Virginia S. Y. (Thesis director) / Presson, Clark (Committee member) / Salamone, Damien (Committee member) / Department of Psychology (Contributor) / School of Human Evolution and Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Cancer is one of the leading causes of death globally according to the World Health Organization. Although improved treatments and early diagnoses have reduced cancer related mortalities, metastatic disease remains a major clinical challenge. The local tumor microenvironment plays a significant role in cancer metastasis, where tumor cells respond and adapt to a plethora of biochemical and biophysical signals from stromal cells and extracellular matrix (ECM) proteins. Due to these complexities, there is a critical need to understand molecular mechanisms underlying cancer metastasis to facilitate the discovery of more effective therapies. In the past few years, the integration of advanced biomaterials and microengineering approaches has initiated the development of innovative platform technologies for cancer research. These technologies enable the creation of biomimetic in vitro models with physiologically relevant (i.e. in vivo-like) characteristics to conduct studies ranging from fundamental cancer biology to high-throughput drug screening. In this review article, we discuss the biological significance of each step of the metastatic cascade and provide a broad overview on recent progress to recapitulate these stages using advanced biomaterials and microengineered technologies. In each section, we will highlight the advantages and shortcomings of each approach and provide our perspectives on future directions.
ContributorsPeela, Nitish (Author) / Nikkhah, Mehdi (Thesis director) / LaBaer, Joshua (Committee member) / Harrington Bioengineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Glioblastoma multiforme (GBM) is a malignant, aggressive and infiltrative cancer of the central nervous system with a median survival of 14.6 months with standard care. Diagnosis of GBM is made using medical imaging such as magnetic resonance imaging (MRI) or computed tomography (CT). Treatment is informed by medical images and includes chemotherapy, radiation therapy, and surgical removal if the tumor is surgically accessible. Treatment seldom results in a significant increase in longevity, partly due to the lack of precise information regarding tumor size and location. This lack of information arises from the physical limitations of MR and CT imaging coupled with the diffusive nature of glioblastoma tumors. GBM tumor cells can migrate far beyond the visible boundaries of the tumor and will result in a recurring tumor if not killed or removed. Since medical images are the only readily available information about the tumor, we aim to improve mathematical models of tumor growth to better estimate the missing information. Particularly, we investigate the effect of random variation in tumor cell behavior (anisotropy) using stochastic parameterizations of an established proliferation-diffusion model of tumor growth. To evaluate the performance of our mathematical model, we use MR images from an animal model consisting of Murine GL261 tumors implanted in immunocompetent mice, which provides consistency in tumor initiation and location, immune response, genetic variation, and treatment. Compared to non-stochastic simulations, stochastic simulations showed improved volume accuracy when proliferation variability was high, but diffusion variability was found to only marginally affect tumor volume estimates. Neither proliferation nor diffusion variability significantly affected the spatial distribution accuracy of the simulations. While certain cases of stochastic parameterizations improved volume accuracy, they failed to significantly improve simulation accuracy overall. Both the non-stochastic and stochastic simulations failed to achieve over 75% spatial distribution accuracy, suggesting that the underlying structure of the model fails to capture one or more biological processes that affect tumor growth. Two biological features that are candidates for further investigation are angiogenesis and anisotropy resulting from differences between white and gray matter. Time-dependent proliferation and diffusion terms could be introduced to model angiogenesis, and diffusion weighed imaging (DTI) could be used to differentiate between white and gray matter, which might allow for improved estimates brain anisotropy.
ContributorsAnderies, Barrett James (Author) / Kostelich, Eric (Thesis director) / Kuang, Yang (Committee member) / Stepien, Tracy (Committee member) / Harrington Bioengineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Popular culture tends to downplay strong female characters to favor a plethora of male figures that children look up to as heroes. This creates a gender imbalance in exposure to inspirational characters that children can look up to as role models. For our team's creative project, we chose to write and illustrate a children's book mainly targeted at young girls, ages eight to twelve that focuses on the stories of selected female figures of Norse mythology. The five stories in our collection focus on the figures Frigg, Skadi, Elli, Idunn, and Freya and are inspired by the mythology contained in the Prose Edda by Snorri Sturluson and selected medieval texts on the Germanic Lombard tribe. Through our book, Women of Norse Myth: For Little Goddesses, we wanted to introduce children to Norse mythology, a branch of myth that is often overshadowed by more popular mythologies such as Roman and Greek. Additionally, our goal was to bring light to the female figures within Norse myth that are generally given less attention than their male counterparts. Keeping in mind these goals, the stories were adapted from the original myths in a manner that would be suitable for a young audience as well as our aim for female empowerment. The final manuscript contains an introduction to Norse cosmology, introductions to the figures, a glossary of Norse terms used, and the illustrated stories themselves. Together with our combined talents, interests, and goals, Women of Norse Myth: For Little Goddesses was completed, and we hope that someday it can be published and serve as a fun and inspiring storybook for children to read and learn from.
ContributorsFarine, Brittany (Co-author) / Muth, Margaret (Co-author) / Youngjohn, Trystan (Co-author) / Alexander, John (Thesis director) / Wells, Cornelia (Committee member) / Department of English (Contributor) / Department of Psychology (Contributor) / School of Human Evolution and Social Change (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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 author examined the relationship between social intelligence and attachment style, specifically how attachment style affects how individuals respond to social intelligence training. Students at the Herberger Young Scholars Academy, a school for the highly gifted, completed an online social intelligence training program through the Social Intelligence Institute and were assessed on a number of items. These items include the Tromso Social Intelligence Scale (TSIS), the Attachment Questionnaire for Children (AQ-C), and a daily diary measure in which they recorded and rated their social interactions day to day. All participants were found to be either securely or insecurely attached, and those that were insecurely attached were further divided into insecure anxious attachment style and insecure avoidant attachment style. It was hypothesized that those with a secure attachment style would have higher initial TSIS scores than those with an insecure attachment style. It was also hypothesized that insecurely attached individuals would benefit more from the social intelligence training program than securely attached individuals indicated by "In tune" scores from the daily diaries, and insecure avoidant individuals would benefit more from the program than insecure anxious individuals indicated by "In tune" scores from the daily diaries. None of these hypotheses were supported by the data, as there was no significant difference between the initial social intelligence scores of the three attachment styles, and none of the variables measured were found to be significant predictors of "In tune" scores. Key Words: social intelligence, social intelligence training, attachment, attachment style, children, adolescents, gifted, IQ, high IQ
ContributorsPrice, Christina Nicole (Author) / Zautra, Alex (Thesis director) / Knight, George (Committee member) / Mickelson, Kristin (Committee member) / Barrett, The Honors College (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor) / Department of Psychology (Contributor)
Created2014-12
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
The purpose of this thesis study was to examine whether the "war on cancer" metaphor influences cancer perception and treatment decision. A total of 249 undergraduates (152 females) from a large southwestern university participated in an online survey experiment and were either randomly assigned to the control condition (N=123) or to the war prime condition (N=126). Participants in the control condition did not receive the metaphor manipulation while participants in the war prime condition received the subtle "war on cancer" metaphor prime. After the prime was given, participants read a scenario, answered questions related to the situation, and responded to demographic questions. The results suggested that, compared to participants in the no-prime condition, participants exposed to the war metaphor were more likely to (a) view melanoma as an acute disease, (b) choose chemotherapy over molecular tests, and (c) prefer more aggressive treatment. These findings illustrated the unintended consequences of the "war on cancer" slogan. The results were encouraging and in the predicted direction, but the effect size was small. The discussion section described possible future directions for research.
ContributorsShangraw, Ann Mariah (Author) / Kwan, Virginia (Thesis director) / Neuberg, Steven (Committee member) / Cavanaugh Toft, Carolyn (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor)
Created2015-05
Description
This study examined whether changes in intervention related gains from the REACH for Personal and Academic Success program, an indicated anxiety prevention school-based protocol, vary as a function of participant youth's exposure to overprotective parenting. This study also examined if ethnicity/race (Caucasian vs. Hispanic/Latino) interacts with overprotective parenting to predict program response. A total of 98 children (M age = 9.70, SD = .07; 77.60% girls; 60.20% Hispanic/Latino) received 1 of 2 protocols (REACH or academic support) and responses were measured at post-treatment and 1-year follow-up. Findings showed that child self-regulation skills improved in the school program (REACH) for children of parents with low levels of overprotection, and child self-regulation skills improved in the control program (academic support) for children of parents with high levels of overprotection. These findings were significant in the Hispanic/Latino subsample, but not in Caucasian youth.
ContributorsBromich, Bobbi Lynn (Author) / Pina, Armando (Thesis director) / Presson, Clark (Committee member) / Hahs, Adam (Committee member) / Department of Psychology (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Cancer is a disease that occurs in many and perhaps all multicellular organisms. Current research is looking at how different life history characteristics among species could influence cancer rates. Because somatic maintenance is an important component of a species' life history, we hypothesize the same ecological forces shaping the life history of a species should also determine its cancer susceptibility. By looking at varying life histories, potential evolutionary trends could be used to explain differing cancer rates. Life history theory could be an important framework for understanding cancer vulnerabilities with different trade-offs between life history traits and cancer defenses. Birds have diverse life history strategies that could explain differences in cancer suppression. Peto's paradox is the observation that cancer rates do not typically increase with body size and longevity despite an increased number of cell divisions over the animal's lifetime that ought to be carcinogenic. Here we show how Peto’s paradox is negatively correlated for cancer within the clade, Aves. That is, larger, long-lived birds get more cancer than smaller, short-lived birds (p=0.0001; r2= 0.024). Sexual dimorphism in both plumage color and size differ among Aves species. We hypothesized that this could lead to a difference in cancer rates due to the amount of time and energy sexual dimorphism takes away from somatic maintenance. We tested for an association between a variety of life history traits and cancer, including reproductive potential, growth rate, incubation, mating systems, and sexual dimorphism in both color and size. We found male birds get less cancer than female birds (9.8% vs. 11.1%, p=0.0058).
ContributorsDolan, Jordyn Nicole (Author) / Maley, Carlo (Thesis director) / Harris, Valerie (Committee member) / Boddy, Amy (Committee member) / School of Molecular Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05