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In a dormant state, cancer cells survive chemotherapy leaving the opportunity for cancer cell relapse and metastasis ultimately leading to patient death. A novel aminoglycoside-based hydrogel ‘Amikagel’ developed in Dr. Rege’s lab serves as a platform for a 3D tumor microenvironment (3DTM) mimicking cancer cell dormancy and relapse. Six Amikagels

In a dormant state, cancer cells survive chemotherapy leaving the opportunity for cancer cell relapse and metastasis ultimately leading to patient death. A novel aminoglycoside-based hydrogel ‘Amikagel’ developed in Dr. Rege’s lab serves as a platform for a 3D tumor microenvironment (3DTM) mimicking cancer cell dormancy and relapse. Six Amikagels of varying mechanical stiffness and adhesivities were synthesized and evaluated as platforms for 3DTM formation through cell viability and cell cycle arrest analyses. The impact of fetal bovine serum concentration and bovine serum albumin concentration in the media were studied for their impact on 3DTM formation. These experiments allow us to identify the best possible Amikagel formulation for 3DTM.
ContributorsGjertsen, Haley Nicole (Author) / Rege, Kaushal (Thesis director) / Grandhi, Taraka Sai Pavan (Committee member) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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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

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
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Abstract Molecular Engineering of Novel Polymeric Agents for Targeted Cancer Gene Therapy Dana Matthews Cancer gene cell therapy is a strategy that involves the administration of genes for correcting the effect of mutated cancer cells in order to induce tumor cell death. In particular, genes that encode for pro-apoptotic proteins

Abstract Molecular Engineering of Novel Polymeric Agents for Targeted Cancer Gene Therapy Dana Matthews Cancer gene cell therapy is a strategy that involves the administration of genes for correcting the effect of mutated cancer cells in order to induce tumor cell death. In particular, genes that encode for pro-apoptotic proteins can result in death of tumor cells. Prostate cancer is a very common cancer among males in America, and as highly destructive chemotherapy and radiation are generally the only treatments available once the cancer has metastasized, there is a need for the development of treatments that can specifically target and kill prostate cancer cells, while demonstrating low toxicity to other tissue. This experiment will attempt to create such a treatment through gene therapy techniques. The parallel synthesis and DNA binding affinity assay utilized in these experiments have produced a polymer that surpasses pEI-25, a gene delivery polymer standard, in both transfection efficacy and low cytotoxicity and trafficking of polyplexes in the cell, and finding methods to increase the transfection efficacy and specificity of polyplexes for PC3-PSMA cells.
ContributorsMatthews, Dana (Author) / Rege, Kaushal (Thesis director) / Linton, Rebecca (Committee member) / Huang, Huang-Chial (Committee member) / Barrett, The Honors College (Contributor)
Created2008-12
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Description
Cancer rates in our nearest relatives are largely unknown. Comparison of human cancer rates with other primates should help us to understand the nature of our susceptibilities to cancer. Data from deceased primates was gathered from 3 institutions, the Duke Lemur Center, San Diego Zoo, and Jungle Friends primate sanctuary.

Cancer rates in our nearest relatives are largely unknown. Comparison of human cancer rates with other primates should help us to understand the nature of our susceptibilities to cancer. Data from deceased primates was gathered from 3 institutions, the Duke Lemur Center, San Diego Zoo, and Jungle Friends primate sanctuary. This data contained over 400 unique individuals across 45 species with information on cancer incidence and mortality. Cancer incidence ranged from 0-71% and cancer mortality ranged from 0-67%. We used weighted phylogenetic regressions to test for an association between life history variables (specifically body mass and lifespan) and cancer incidence as well as mortality. Cancer incidence did not correlate with both body mass and lifespan (p>.05) however, cancer mortality did (p<.05). However, it is uncertain if the variables can be used as reliable predictors of cancer, because the data come from different organizations. This analysis presents cancer incidence rates and cancer mortality rates in species where it was previously unknown, and in some primate species, is surprisingly high. Microcebus murinus(grey mouse lemur) appear to be particularly vulnerable to cancer, mostly lymphomas. Further studies will be required to determine the causes of these vulnerabilities.
ContributorsWalker, William Charles (Author) / Maley, Carlo (Thesis director) / Boddy, Amy (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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This research addresses the need for improvement in radiation sensors for applications of ionizing radiation such as radiotherapy. The current sensors involved are polymer gel dosimeters, MOSFETs, radio-chromic films, etc. Most of the sensors involved require expensive equipment's and processing facilities for readout. There is still a need to develo

This research addresses the need for improvement in radiation sensors for applications of ionizing radiation such as radiotherapy. The current sensors involved are polymer gel dosimeters, MOSFETs, radio-chromic films, etc. Most of the sensors involved require expensive equipment's and processing facilities for readout. There is still a need to develop better sensors that can be clinically applied. There are numerous groups around the world trying to conceive a better dosimeter. One of the radiation sensors that was developed recently was based on fluorescence signal emitted from the sensor. To advance the field of radiation sensors, a visual indicator has been developed in-lab as a method of detect ionizing radiation. The intensity of change in color is directly dependent on the amount of incident ionizing radiation. An aqueous gold nanoparticle sensor can be used to accurately determine the incident amount of ionizing radiation1. A gold nanoparticle sensor has been developed in lab with the use of hexadecyltrimethylammonium bromide (C16TAB) as the templating molecule. In the presence of ionizing radiation, the colorless gold salt is reduced and templated, creating a dispersion within the fluid1. The formation of suspended nanoparticles leads to a color change that can be visually detected and accurately analyzed through the employment of a spectrometer. Unfortunately, the toxicity of C16TAB is high. It is expected the toxicity can be reduced by replacing C16TAB with an amino acid, as amino acids can act as templating molecules in the solution and many are naturally occuring2. The experiments included a screening of 20 natural amino acids and 12 unnatural amino acids with the gold salt solution in the presence of ionizing radiation. Stability and absorbance testing was conducted on the amino acid sensors. Additional screening of lead amino acid sensors at various concentrations of irradiation was conducted.
ContributorsGupta, Saumya (Co-author) / Rege, Kaushal (Co-author, Thesis director) / Pushpavanam, Karthik (Co-author, Committee member) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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Description

Cancer rates vary between people, between cultures, and between tissue types, driven by clinically relevant distinctions in the risk factors that lead to different cancer types. Despite the importance of cancer location in human health, little is known about tissue-specific cancers in non-human animals. We can gain significant insight into

Cancer rates vary between people, between cultures, and between tissue types, driven by clinically relevant distinctions in the risk factors that lead to different cancer types. Despite the importance of cancer location in human health, little is known about tissue-specific cancers in non-human animals. We can gain significant insight into how evolutionary history has shaped mechanisms of cancer suppression by examining how life history traits impact cancer susceptibility across species. Here, we perform multi-level analysis to test how species-level life history strategies are associated with differences in neoplasia prevalence, and apply this to mammary neoplasia within mammals. We propose that the same patterns of cancer prevalence that have been reported across species will be maintained at the tissue-specific level. We used a combination of factor analysis and phylogenetic regression on 13 life history traits across 90 mammalian species to determine the correlation between a life history trait and how it relates to mammary neoplasia prevalence. The factor analysis presented ways to calculate quantifiable underlying factors that contribute to covariance of entangled life history variables. A greater risk of mammary neoplasia was found to be correlated most significantly with shorter gestation length. With this analysis, a framework is provided for how different life history modalities can influence cancer vulnerability. Additionally, statistical methods developed for this project present a framework for future comparative oncology studies and have the potential for many diverse applications.

ContributorsFox, Morgan Shane (Author) / Maley, Carlo C. (Thesis director) / Boddy, Amy (Committee member) / Compton, Zachary (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / School of Molecular Sciences (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

Age is the most significant risk factor for cancer development in humans. The somatic mutation theory postulates that the accumulation of genomic mutations over time results in cellular function degradation which plays an important role in understanding aging and cancer development. Specifically, degradation of the mechanisms that underlie somatic maintenance

Age is the most significant risk factor for cancer development in humans. The somatic mutation theory postulates that the accumulation of genomic mutations over time results in cellular function degradation which plays an important role in understanding aging and cancer development. Specifically, degradation of the mechanisms that underlie somatic maintenance can occur due to decreased immune cell function and genomic responses to DNA damage. Research has shown that this degradation can lead to the accumulation of mutations that can cause cancer in humans. Despite recent advances in our understanding of cancer in non-human species, how this risk factor translates across species is poorly characterized. Here, we analyze a veterinarian cancer dataset of 4,178 animals to investigate if age related cancer prevalence is similar in non-human animals. We intend for this work to be used as a primary step towards understanding the potential overlap and/or uniqueness between human and non-human cancer risk factors. This study can be used to better understand cancer development and how evolutionary processes have shaped somatic maintenance across species.

ContributorsAksoy, Selin (Author) / Maley, Carlo (Thesis director) / Boddy, Amy (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / Department of Psychology (Contributor)
Created2022-05
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Description

Cancers of the reproductive tissues make up a significant portion of the cancer burden and mortality experienced by humans. Humans experience several proximal causative carcinogens that explain a portion of cancer risk, but an evolutionary viewpoint can provide a unique lens into the ultimate causes of reproductive cancer vulnerabilities. A

Cancers of the reproductive tissues make up a significant portion of the cancer burden and mortality experienced by humans. Humans experience several proximal causative carcinogens that explain a portion of cancer risk, but an evolutionary viewpoint can provide a unique lens into the ultimate causes of reproductive cancer vulnerabilities. A life history framework allows us to make predictions on cancer prevalence based on a species’ tempo of reproduction. Moreover, certain variations in the susceptibility and prevalence of cancer may emerge due to evolutionary trade-offs between reproduction and somatic maintenance. For example, such trade-offs could involve the demand for rapid proliferation of cells in reproductive tissues that arises with reproductive events. In this study, I compiled reproductive cancer prevalence for 158 mammalian species and modeled the predictive power of 13 life history traits on the patterns of cancer prevalence we observed, such as Peto’s Paradox or slow-fast life history strategies. We predicted that fast-life history strategists will exhibit higher neoplasia prevalence risk due to reproductive trade-offs. Furthering this analytical framework can aid in predicting cancer rates and stratifying cancer risk across the tree of life.

ContributorsDarapu, Harshini (Author) / Maley, Carlo (Thesis director) / Boddy, Amy (Committee member) / Compton, Zachary (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2022-05