A Model Describing the Effect of P-gp Pumps on Drug Resistance in Solid Tumors

Similar documents
A model for transfer phenomena in structured populations

Mathematics Behind Induced Drug Resistance in Cancer Chemotherapy

MATH 312 Section 3.1: Linear Models

Transport Equations in Biology; Adaptive Dynamics

Membrane transport 1. Summary

T 1 (p) T 3 (p) 2 (p) + T

Martingale Problems. Abhay G. Bhatt Theoretical Statistics and Mathematics Unit Indian Statistical Institute, Delhi

ACTIVE TRANSPORT AND GLUCOSE TRANSPORT. (Chapter 14 and 15, pp and pp )

Antibiotic efflux pumps in eucaryotic cells: consequences for activity against intracellular bacteria

First and Second Order Differential Equations Lecture 4

ECE 342 Electronic Circuits. Lecture 6 MOS Transistors

Paper Review. Special Topics in Optical Engineering II (15/1) Minkyu Kim. IEEE Journal of Quantum Electronics, Feb 1985

Emmanuel Frénod. Laboratoire de Mathématiques de Bretagne Atlantique (UMR6205) - Université Bretagne-Sud - Vannes & See-d 1

Volterra Integral Equations of the First Kind with Jump Discontinuous Kernels

On linear and non-linear equations.(sect. 2.4).

Observing Wigner Crystals in Double Sheet Graphene Systems in Quantum Hall Regime

PHYSICS 110A : CLASSICAL MECHANICS HW 2 SOLUTIONS. Here is a sketch of the potential with A = 1, R = 1, and S = 1. From the plot we can see

Membrane Protein Pumps

Drift-Diffusion Simulation of the Ephaptic Effect in the Triad Synapse of the Retina

Chapter 10. Thermodynamics of Transport. Thermodynamics of Transport, con t. BCH 4053 Summer 2001 Chapter 10 Lecture Notes. Slide 1.

Poisson Jumps in Credit Risk Modeling: a Partial Integro-differential Equation Formulation

Linear Variable coefficient equations (Sect. 2.1) Review: Linear constant coefficient equations

Performance Investigation on Electrochemical Compressor with Ammonia

Actuarial mathematics

Sensitivity to Model Parameters

Study of Stimulus Waveform Effect on Nerve Excitability and SENN model verification in Lumbricus Terrestris as a Convenient Animal Model

Linear Variable coefficient equations (Sect. 1.2) Review: Linear constant coefficient equations

Intermediate Differential Equations. John A. Burns

P-Channel Enhancement Mode Mosfet

Advanced Protein Models again: adding regulation

1D Wave PDE. Introduction to Partial Differential Equations part of EM, Scalar and Vector Fields module (PHY2064) Richard Sear.

Bo Deng University of Nebraska-Lincoln UNL Math Biology Seminar

Cellular Respiration Stage 4: Electron Transport Chain

Electrical circuits as manifolds Introduction

P-Channel Enhancement Mode Mosfet

Homogeneous Equations with Constant Coefficients

Solution to Problems for the 1-D Wave Equation

Mathematics, Box F, Brown University, Providence RI 02912, Web site:

Speed and Accuracy Tests of the Variable-Step Störmer-Cowell Integrator

Chapter 8 Photosynthesis

Bioinformatics: Network Analysis

Kevin James. MTHSC 206 Section 16.4 Green s Theorem

Section 2: Photosynthesis

An Overview of Methods for Applying Semi-Markov Processes in Biostatistics.

Dynamic Systems: Ordinary Differential Equations. Ordinary Differential Equations

Existence Theory: Green s Functions

SOT-363 Q 1 Q 2 TOP VIEW. Characteristic Symbol Value Unit I D. Characteristic Symbol Value Unit Drain Source Voltage V DSS -20 V

N-channel TrenchMOS transistor

Modelling nucleocytoplasmic transport with application to the intracellular dynamics of the tumor suppressor protein p53

system CWI, Amsterdam May 21, 2008 Dynamic Analysis Seminar Vrije Universiteit

International Journal of Advance Engineering and Research Development SIMULATION OF FIELD ORIENTED CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR

Electromagnetism Physics 15b

SOT-563 Q 1 Q 2 BOTTOM VIEW. Characteristic Symbol Value Unit Drain Source Voltage V DSS 20 V Gate-Source Voltage V GSS ±8 V T A = 25 C T A = 85 C

Lecture 1. Scott Pauls 1 3/28/07. Dartmouth College. Math 23, Spring Scott Pauls. Administrivia. Today s material.

Lecture 27 Thermodynamics: Enthalpy, Gibbs Free Energy and Equilibrium Constants

Homework 4. Goldstein 9.7. Part (a) Theoretical Dynamics October 01, 2010 (1) P i = F 1. Q i. p i = F 1 (3) q i (5) P i (6)

Introduction to AC Circuits (Capacitors and Inductors)

Origin of the anomalous low temperature upturn in resistivity in the electron-doped cuprates.

Viscosity Solutions of Path-dependent Integro-Differential Equations

Math 5490 November 12, 2014

PNS Chapter 7. Membrane Potential / Neural Signal Processing Spring 2017 Prof. Byron Yu

Parallel-in-time integrators for Hamiltonian systems

sc Control Systems Design Q.1, Sem.1, Ac. Yr. 2010/11

Reaction-Diffusion Equations In Narrow Tubes and Wave Front P

Electromagnetic characterization of big aperture magnet used in particle beam cancer therapy

Chapter 8. Feedback Controllers. Figure 8.1 Schematic diagram for a stirred-tank blending system.

FEATURES SYMBOL QUICK REFERENCE DATA

First Order ODEs (cont). Modeling with First Order ODEs

The Impact of Hydration Dynamics on the Control of a PEM Fuel Cell

P-TO Maximum Ratings Parameter Symbol Value Unit SPP_I SPA Continuous drain current

TrenchMOS technology Very fast switching Logic level compatible Subminiature surface mount package.

2016 Kappa Electronics Motor Control Training Series Kappa Electronics LLC. -V th. Dave Wilson Co-Owner Kappa Electronics.

Photosynthesis. light

Basic Semiconductor Physics

Getting Some Big Air

SSF65R580F. Main Product Characteristics 700V. V J max. 0.52Ω (typ.) I D 8.0A TO-220F. Features and Benefits. Description

GENETICS. On the Fixation Process of a Beneficial Mutation in a Variable Environment

ESE 570: Digital Integrated Circuits and VLSI Fundamentals

MODELING THE ABSORPTION, CIRCULATION, AND METABOLISM OF TIRAPAZAMINE

Medicinal Application of Dendrimers. Literature Seminar Shogo HASHIZUME (M2) (Tue.)

Biophysics I (BPHS 3090)

First Order ODEs, Part II

On Power Series Analytic in the Open Unit Disk with Finite Doble-Logarithmic Order

Trajectory Smoothing as a Linear Optimal Control Problem

Midterm. ESE 570: Digital Integrated Circuits and VLSI Fundamentals. Lecture Outline. Pass Transistor Logic. Restore Output.

Stochastic Areas and Applications in Risk Theory

MATH 312 Section 8.3: Non-homogeneous Systems

What Does VLV Testing Detect?

IXTK5N250 IXTX5N250 = 2500V = 5A < 8.8Ω. High Voltage Power MOSFET w/ Extended FBSOA. Advance Technical Information. R DS(on)

Jim Lambers ENERGY 281 Spring Quarter Lecture 3 Notes

Sample Solutions of Assignment 3 for MAT3270B: 2.8,2.3,2.5,2.7

Introduction to Hamiltonian Monte Carlo Method

ENO and WENO schemes. Further topics and time Integration

First-Order Ordinary Differntial Equations: Classification and Linear Equations. David Levermore Department of Mathematics University of Maryland

GRÜNWALD-LETNIKOV SCHEME FOR SYSTEM OF CHRONIC MYELOGENOUS LEUKEMIA FRACTIONAL DIFFERENTIAL EQUATIONS AND ITS OPTIMAL CONTROL OF DRUG TREATMENT

Non-homogeneous equations (Sect. 3.6).

In data sheets and application notes which still contain NXP or Philips Semiconductors references, use the references to Nexperia, as shown below.

2.6 The Membrane Potential

Exam 3 Topics. Displacement Current Poynting Vector. Faraday s Law Self Inductance. Circuits. Energy Stored in Inductor/Magnetic Field

A Population-level Hybrid Model of Tumour-Immune System Interplay: model construction and analysis.

Transcription:

A Describing the Effect of P-gp Pumps on Drug Resistance in Solid Tumors Matt Becker University of Maryland, College Park November 15, 216 Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 1

Outline 1 2 3 4 Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 2

Background Resistance to chemotherapy remains (one of) the largest obstacle for cancer treatment. The two main mechanisms for resistance are selection and induction. The over-expression of P-glycoprotein (P-gp) pumps is widely understood to play a large role in multi-drug resistance (MDR). Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 3

Drug Resistance Housman et. al (214) Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 4

Heterogeneity Resistance is considered based on the amount of P-gp pumps on any given cell. The current model breaks this into a discrete case in which a cell is either "sensitive" or "resistant" to therapy. Sensitive cells can become temporarily resistant due to proximity to resistant cells. Intracellular membrane nanotubes act as short distance P-gp carriers. Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 5

Duran Duran et. al (216) created a simple ODE model to describe transfer of drug resistance with P-gp pumps. ds dt dr dt ds R dt = S τ s (1 R+S+S R K ) SR τ c = R τ r (1 R+S+S R = S R K ) K τr (1 R+S+S R ) + SR τ c + S R τ S R τ (1) Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 6

Schematic Greene et. al (214) Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 7

Integro-Differential Equation t dsq dt = α sps q(t) α asq S q(t) + 2 f p(t t ; µ, σ)(1 ξ)α ( t sps q(t ) 1 α asp (s)ds ) dt t t +2 f p(t t ; µ, σ)ξα ( t sps q(t ) 1 α asp (s)ds ) dt, t t drq dt = α rpr q(t) α arq R q(t) + 2 f p(t t ; µ, σ)α ( t rpr q(t ) 1 α arp (s)ds ) dt, t dsp dt drp dt dtp dt t = (1 ξ)α sps q(t) α asp S p f p(t t ; µ, σ)(1 ξ)α ( t sps q(t ) 1 α asp (s)ds ) dt, t t = α rpr q(t) α arp R p f p(t t ; µ, σ)α ( t rpr q(t ) 1 α arp (s)ds ) dt, t t = ξα sps q α atp T p f p(t t ; µ, σ)ξα ( t sps q(t ) 1 α asp (s)ds ) dt, t (2 da dt = α asq S q + α arq R q + α asp S p + α arp R p + α atp T p t f a(t t )[α asq S q(t ) + α arq R q(t ) + α asp S p(t ) + α arp R p(t ) + α atp T p(t )]dt, Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 8

Comparison 1.9 of Sensitive Cells Sensitive Data Sensitive.8.7.6.5.4.3.2.1 2 4 6 8 1 1.9 of Resistant Cells Resistant Data Resistant.8.7.6.5.4.3.2.1 2 4 6 8 1 Duran et. al. (216) Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 9

Comparison 1.9 of Sensitive Cells Sensitive Data Sensitive.8.7.6.5.4.3.2.1 2 4 6 8 1 1.9 of Resistant Cells Resistant Data Resistant.8.7.6.5.4.3.2.1 Duran et. al. (216) 2 4 6 8 1 Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 1

Comparison 1.9 of Sensitive Cells Sensitive Data Sensitive.8.7.6.5.4.3.2.1 2 4 6 8 1 1.9 of Resistant Cells Resistant Data Resistant.8.7.6.5.4.3.2.1 Duran et. al. (216) 2 4 6 8 1 Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 11

of Sensitive/Resistant Cells; 5% initially sensitive.6 of Sensitive/Resistant Cells; 87.5% initially sensitive.9.58.8.56.54.7.52.5.48 Sensitive Resistant Data Sensitive Data Resistant.6.5.4 Sensitive Resistant Data Sensitive Data Resistant.46.44.3.42.2.4 2 4 6 8 1 of Sensitive/Resistant Cells; 75% initially sensitive.75 Sensitive.7 Resistant Data Sensitive.65 Data Resistant.6.55.5.45.4.35.1 2 4 6 8 1 The initial jump in resistant population is the result of the transition from Sq to Tp..3.25 2 4 6 8 1 Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 12

1 5 Overall Population 2 1.8 1.6 1.4 Population 1.2 1.8.6.4.2 1 2 3 4 5 Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 13

Going Forward Immediate Steps We ll amend the model to allow for temporary resistance to last more than one generation. Once we re satisfied with this work we ll add a cytotoxic drug term. Future Step Eventually we ll change resistance from discrete to continuous to turn this into a PDE model. Becker AMSC Seminar 216 University of Maryland, College Park November 15, 216 14