Emek Köse’s research while affiliated with St. Mary's College of Maryland and other places

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Publications (8)


Mathematical Modeling of Tumor and Cancer Stem Cells Treated with CAR-T Therapy and Inhibition of TGF-[Formula: see text
  • Article

April 2022

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29 Reads

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9 Citations

Bulletin of Mathematical Biology

Ellen R Swanson

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Emek Köse

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Elizabeth A Zollinger

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Samantha L Elliott

The stem cell hypothesis suggests that there is a small group of malignant cells, the cancer stem cells, that initiate the development of tumors, encourage its growth, and may even be the cause of metastases. Traditional treatments, such as chemotherapy and radiation, primarily target the tumor cells leaving the stem cells to potentially cause a recurrence. Chimeric antigen receptor (CAR) T-cell therapy is a form of immunotherapy where the immune cells are genetically modified to fight the tumor cells. Traditionally, the CAR T-cell therapy has been used to treat blood cancers and only recently has shown promising results against solid tumors. We create an ordinary differential equations model which allows for the infusion of trained CAR-T cells to specifically attack the cancer stem cells that are present in the solid tumor microenvironment. Additionally, we incorporate the influence of TGF-[Formula: see text] which inhibits the CAR-T cells and thus promotes the growth of the tumor. We verify the model by comparing it to available data and then examine combinations of CAR-T cell treatment targeting both non-stem and stem cancer cells and a treatment that reduces the effectiveness of TGF-[Formula: see text] to determine the scenarios that eliminate the tumor.


Introduction to the Special Issue: Project-Based Curriculum

April 2018

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30 Reads

PRIMUS

Ideally, students of mathematics gain much from their coursework and undergraduate careers. If we (teachers and professors) do our jobs right, then math majors and minors should, among other achievements, gain the ability to apply their mathematical knowledge to other disciplines and real-world problems. Project-based learning offers one way to achieve this goal, as it encourages students to solve interdisciplinary problems that arise outside of the traditional classroom. Project-based learning can be implemented as part of a class or as an enrichment program, and it typically features problems arising from a variety of sources (including social concerns of different communities, demands from business and industry, and non-profit or government organizations). In this special issue on Project-Based Curricula, we present six papers that address different aspects of project-based learning, including how it can be facilitated, ideas for projects, and evidence of its effectiveness.


Figure 1. Schematic showing the initiation of the adaptive immune response to cancer by dendritic cells. The trafficking of the DCs is not shown. The processing of the antigen takes place at the tumour site (left side of the graphic). The dendritic cell then migrates to the spleen or other lymph organ, where it activates naive T-cells (right side of the graphic). This activation requires the DC cells and T-cells to bind together. Once activated, T-cells begin proliferating, move into the blood stream, or become memory cells. Source: National Cancer Institute (2010).  
Figure 2. The three compartments in the model and the type of cells in each compartment.  
Figure 3. The spleen diagram showing the different cell populations as compartments.  
Figure 4. Number of tumour cells vs. time using the parameters that best fit the experimental treatments in Lee et al. (2007). Note: Parameter values are given in Table A1.  
Figure 5. Partially ranked correlation coefficients (PRCC) for outcomes: final tumour size, final CTL levels, final memory cell levels.  

+3

Immuno-kinetics of immunotherapy: dosing with DCs
  • Article
  • Full-text available

January 2017

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639 Reads

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7 Citations

Letters in Biomathematics

Emek Köse

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Sharon Moore

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Chinenye Ofodile

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[...]

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Elizabeth Zollinger

Therapeutic vaccines play a large role in the cast of immunotherapies that are now an essential component in most cancer treatment regimes. The complexity of the immune response and the ability of the tumour to mount a counter-offensive to this response have made it difficult to predict who will respond to what treatments, and for clinicians to optimise treatment strategies for individual patients. In this paper, we present a mathematical model that captures the dynamics of the adaptive response to an autologous whole-cell cancer vaccine, without some of the complexities of previous models that incorporate delays. Model simulations are compared to published experimental and clinical data, and used to discuss possible improvements to vaccine design.

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Women in Mathematics: A Nested Approach

August 2016

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36 Reads

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4 Citations

PRIMUS

In this article, we present a case study of a course called Women in Mathematics. Students in the course studied the lives and the mathematical contributions of women mathematicians throughout history, as well as current gender equity issues in the study of mathematics and in mathematical careers. They also mentored 20 middle school girls throughout the semester. This nested strategy (with the professor providing an environment where the college students could appreciate math, and they, in turn, creating the same for middle school girls) resulted in improvements in both the college students’ and middle school girls’ attitudes towards mathematics.


Equitable mirrors

December 2014

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26 Reads

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1 Citation

Mirror surfaces used in catadioptric sensors are often designed so as to minimize one particular kind of image distortion. In this article we explore some finer properties of equi-areal mirrors, those that feature no area distortion, and we propose novel ways to measure compound forms of distortion. Specifically, we develop new mirror surfaces with large fields of view that simultaneously minimize angular and areal distortion with respect to different cost functions.


Double-mirror catadioptric sensors with ultrawide field of view and no distortion

January 2014

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48 Reads

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9 Citations

We compute a family of double-mirror catadioptric sensors with ultrawide field of view and no distortion. The two concentric mirrors are rotationally symmetric, and the inside mirror is a revolved conic section. The mapping between the object and the image planes was linear, hence the lack of distortion. The equations describing the outer mirror were determined by the projection induced by the inside mirror and the rectifying property of the sensor. Solving the resulting nonlinear ordinary differential equations yielded the cross section of the secondary mirror. The sensors we present require no further digital processing.


A Survey of the Differential Geometry of Discrete Curves

November 2013

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281 Reads

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22 Citations

The Mathematical Intelligencer

Discretization of curves is an ancient topic. Even discretization of curves with an eye toward differential geometry is over a century old. However there is no general theory or methodology in the literature, despite the ubiquitous use of discrete curves in mathematics and science. There are conflicting definitions of even basic concepts such as discrete curvature {\kappa}, discrete torsion {\tau}, or discrete Frenet frame.


Climate Modeling in the Calculus and Differential Equations Classroom

November 2013

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451 Reads

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2 Citations

The College Mathematics Journal

Students in college-level mathematics classes can build the differential equations of an energy balance model of the Earth’s climate themselves, from a basic understanding of the background science. Here we use variable albedo and qualitative analysis to find stable and unstable equilibria of such a model, providing a problem or perhaps a research project for students interested in environmental studies and mathematics.

Citations (6)


... Several models [16][17][18][19] have been developed to describe the effects of treatment in eradicating or slowing tumor growth. Chemo-kinetic models focus on the time-dependent dynamics of drug concentrations and their effects on tumor cells. ...

Reference:

Stochastic Modeling and First-Passage-Time Analysis of Oncological Time Metrics with Dynamic Tumor Barriers
Mathematical Modeling of Tumor and Cancer Stem Cells Treated with CAR-T Therapy and Inhibition of TGF-[Formula: see text
  • Citing Article
  • April 2022

Bulletin of Mathematical Biology

... Ordinary differential equation (ODE) models are studied in previous papers. [9][10][11][12][13] The mathematical model in reference 12 uses 12 biological variables (and thus system of 12 ODEs): three cytokines together with nine cell types without spatial component. In reference, 13 a system with delay of three nonlinear ODEs is studied, which include as state variables the density of tumor populations, the density of cytotoxic T-lymphocytes, and the density of T-helper cells in a single tumor-site compartment. ...

Immuno-kinetics of immunotherapy: dosing with DCs

Letters in Biomathematics

... For the remaining articles, we interpreted that 68.75% (n 11) had even priority between quantitative and qualitative data, 25% (n 4) prioritized qualitative data, and all but one study (87.5%, n 14) had independent analytic logic and concurrent sequencing/timing [McIntosh (2019); could not be interpreted due to a lack of methodological description]. Of the studies that did not explicitly state integration (62.5%, n 10), one provided some discussion of using qualitative and quantitative data to build on each other (Pica and Fripp, 2020), and two discussed looking for common patterns in each (Köse and Johnson, 2016;Bonner et al., 2019). ...

Women in Mathematics: A Nested Approach
  • Citing Article
  • August 2016

PRIMUS

... The spherical compensation lens group can correct residual astigmatism, field curvature and distortion [17]. More importantly, a star sensor with this structure can obtain a higher star detection ability because of its larger entrance pupil diameter [16,18]. However, the bracket of the mirror further aggravates the central blockage of incident light and causes a greater loss of light energy. ...

Double-mirror catadioptric sensors with ultrawide field of view and no distortion

... Climate mathematical modelling has so far focused on the physics behind the global warming, and has therefore described the rise in global average temperature using a mathematical approach based on the law of conservation of energy (e.g., [7][8][9][10]). When it comes to the climate mitigation, the existing models were mostly produced by computer simulation, which involved rather climatologists. Among these are the representative concentration pathways (RCPs; [5,[11][12][13]), which were adopted by the Intergovernmental Panel on Climate Change (IPCC) to predict future annual CO 2 emissions by simulating representative mitigation scenarios of radiative forcing; 2.6, 4.5, 6, and 8.5 W m À2 , going from the highest to the lowest mitigation. ...

Climate Modeling in the Calculus and Differential Equations Classroom
  • Citing Article
  • November 2013

The College Mathematics Journal

... In the discrete case, we applied the ideas and methods from classical differential geometry instead of "simply" discretizing equations or using classical differential calculus. There are several versions of discretized curvature and torsion based on using different starting point of the classical differential geometry like from Frenet-frame [8] and from geometric knot theory [68]. ...

A Survey of the Differential Geometry of Discrete Curves

The Mathematical Intelligencer