Electrical & Computer Engineering

Electrical & Computer Engineering at the University of Delaware

ECE

Upcoming Seminars

July 24, 2008

ITERATIVE COMPILATION BY EXPLORATION OF KERNEL DECOMPOSITION

Dr W. Jalby
University of Versailles Saint Quentin

Past Seminars

May 19, 2008

Recent Advances in Computation Photography

Jingyi Yu, Assistant Professor

Computer and Information Science Department University of Delaware

May 7, 2008

Gauss' Law: What does it NOT say?

H. Brian Sequeira
Johns Hopkins University, Applied Physics Laboratory

April 30, 2008

Circuits with Light at the Nanoscale

Nader Engheta
H. Nedwill Ramsey Professor, University of Pennsylvania
Department of Electrical and Systems Engineering, Philadelphia, Pennsylvania

April 15, 2008

Vacuum Technology Seminar

Varian Inc. Vacuum Technologies

March 7, 2008

Microfluidic Cell Arrays for High Throughput Signal Pathway Profiling and Drug Screening

Professor Sihong Wang
Department of Biomedical Engineering, City University of New York

February 15,

Flow Control on the Micro-Scale

Dr. Benjamin Shapiro, Associate Professor
University of Maryland, Department of Aerospace Engineering

December 5, 2007

High Power Diode Lasers and Applications

Dr. Wei Gao, President and CTO
Axcel Photonics

November 30, 2007

Fascinating Rhythms:
Reverse Engineering Cortical Function from Changes in Brain Oscillations in Neurological and Psychiatric Disease

Leif Finkel, MD, PhD
University of Pennsylvania, Department of BioEngineering

November 26, 2007

Molecular Level Modeling and Dynamic Analysis of Biochemically Coupled Multicellular Systems

Michael Henson
University of Massachusetts Amherst

November 21, 2007

Nanostructures for Potential Signal Transduction Constructed via Molecular Self-Assembly

Dr. Darrin Pochen
University of Delaware, Materials Science and Engineering

November 19, 2007

Optimal Precoding for Multiple-Input Multiple-Output Gaussian Channels with Arbitrary Inputs

Dr. Fernando Perez-Cruz
Universidad Carlos III & Princeton University (joint work with Miguel Rodrigues and Sergio Verdu)

November 12, 2007

Random Control Bounds for Block Coded Transmission over Fading MIMO
Multiple Access Channel

November 7, 2007

Metal/Semiconductor Nanocomposites

Professor Joshua Zide
University of Delaware

November 2, 2007

Engineering Cancer Therapies: Mathematical Modeling of Tumor Metabolism
and Therapeutic Efficacy

Professor Neil Forbes
University of Massachusetts Amherst

October 31, 2007

Finite Difference Delay

Dr. Xiaobo Wang
University of Delaware

October 19, 2007

Scheduling of Optimal Medication Strategies for Early HIV Infection

Professor Antonios Armaou
Pennsylvania State University

October 17, 2007

Is There Life on the Moon?

Professor Brian Sequeira
Johns Hopkins APL

April 30, 2007

Distributed Processing over Adaptive Networks

Professor Ali H. Sayed
University California, Los Angeles

April 9, 2007

Thoughts on Innovation

Ray Sokola,
Chief Technology Officer Motorola Inc.

Monday, March 12, 2007

Packet Switching Comes of Age: From Research to Commercial Development

Dr. W. David Sincoskie

March 5, 2007

Wireless Sensor Networks

Professor Edward Coyle,
Purdue University

Wednesday February 14, 2007

Confessions of an Internet Timekeeper

Dr. David L. Mills
The University of Delaware, Department of Electrical and Computer Engineering

 

Engineering Cancer Therapies:Mathematical Modeling of Tumor Metabolism

and Therapeutic Efficacy

Dr. Neil Forbes
University of Massachusetts Amherst

11:15 a.m.- 12:15 p.m., 204 Evans Hall

Abstract:

The interactions of intracellularmetabolism, cell growth and death, and theaction of cancer therapeutics are acomplicated system. Understanding thissystem clearly and accurately will have manyramifications on how cancer is treated.

We have formulated a mathematicalmodel that describes the dynamic interactionsof the elements of this system. Our model

incorporates a description of intracellularenergy metabolism within reaction-diffusionequations to predict local glucose, oxygen, and lactate concentrations. It alsoincorporates transitions between cell-cyclephases, drug penetration, and drugpharmacokinetics. The model is based on thepremise that cellular growth and death arecontrolled by intracellular ATP production andenergy metabolism.

The model consists of a coupled set ofnonlinear partial differential, ordinarydifferential and algebraic equations with amoving outer boundary that is solved usingorthogonal collocation on a moving grid offinite elements.

The mathematical model was created tocouple with experimental observations ofartificial tumors grown in our laboratory. Our

artificial tumors, called cylindroids, haveoxygen partial pressures and an extracellularpH that lower in their central, necroticregions. The intracellular concentrations ofglucose, lactate, and glutamate are lower atthe center of cylindroids than at theirperiphery. These metabolic characteristics aresimilar to the physiological conditions presentin human tumors. We have also found that, asa function of radius, cells first becomequiescent because and then die due toapoptosis. These observations are reflected inthe predictions of the mathematical model.We have used the model to determinethe extent of quiescence in tumors withdifferent cellular characteristics and todetermine the critical cell survival parametersthat have the greatest impact on overallspheroid physiology. We have shown with themodel that 1) oxygen transport has a greatereffect than glucose transport on thedistribution of quiescent cells, 2) drugs withintermediate diffusion coefficients are moreeffective at reducing spheroid volume thanfast or slow diffusing drugs, and 3) tumorswith less proliferating cells are moreresponsive to chemotherapeutics than tumorswith more proliferating cells because of cellre-population.In addition, we have shownexperimentally that 1) bacteria activelychemotax toward molecules secreted byquiescent and necrotic tissue, and 2)genetically modified Salmonella expressingcytotoxic peptide increase 30-day survivalfrom zero to 100%.

The results from this work will enable thegeneration of diagnostic tools that can predictthe effectiveness of cancer therapies.Improved characterization of themicroenvironments of tumors will enabledevelopment of specifically targetedtherapeutics, including bacterial vectors thatcan overcome therapeutic resistance