Cancer Cell Tumor Kinetics Claudia Neuhauser University of - - PowerPoint PPT Presentation

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Nov 20, 2022 318 likes •465 views

Cancer Cell Tumor Kinetics Claudia Neuhauser University of Minnesota Rochester Learning Objectives After completion of this module, the student will be able to build a data-driven phenomenological model of tumor growth with a minimal

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Cancer Cell Tumor Kinetics

Claudia Neuhauser University of Minnesota Rochester

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Learning Objectives

After completion of this

module, the student will be able to

– build a data-driven phenomenological model of tumor growth with a minimal number of parameters – make predictions about the kinetic behavior of a tumor based on an exponential growth model

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Knowledge, Skills, Prerequisites

Knowledge and Skills

– Fitting a trend line – Exponential growth – Doubling time

Prerequisites

– Volume of a sphere – Straight lines – Natural logarithms and exponential function

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Background

Source: National Center for Health Statistics and New York Times

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LEARNI NG OBJECTI VE 1

build a data-driven phenomenological model of tumor growth with a minimal number of parameters

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Case Study

Diameter [mm] No. Date D1 D2 D3 1 06/26/69 4 4 4 2 11/27/69 5 4 6 3 11/24/70 7 8 9 4 07/06/71 11 12 14 5 08/17/73 29 33 31 6 09/18/73 32 36 34 Source: Fournier et. al. 1980

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Building a Model: Assumptions

1. Shape of tumor is a

sphere

2. Tumor is solid mass of

tumor cells

3. Tumor cell is a sphere

with diameter 10 μm

4. 1g of tumor cells = 109

cells

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In-class Activity 1

In the spreadsheet under tab Patient 1,

calculate for each set of measurements

– the average diameter for the tumor of the patient (Column G) – the volume of the tumor based on the average diameter (Column H) – the number of cells of the tumor (Column I) – the weight of the tumor (Column J).

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Kinetic Model

A kinetic model of tumor growth may

relate the number of cells of a tumor to

time. The patient data and our

calculations in In-class Activity 1 provide data to build such a model.

In-class Activity 2

– See worksheet

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LEARNI NG OBJECTI VES 2

make predictions about the kinetic behavior of a tumor based on an exponential growth model

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In-class Activity 3 and 4

Exponential growth: N(t)=aect
Two parameters: a and c
Predict when tumor started
Lethal burden

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Doubling Time T2

N(T2)=2N(0)
Calculate doubling time

– T2=ln2/c

WolframAlpha

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In-class Activity 5

Calculate the doubling time for the

tumor of the patient based on the kinetic model for tumor cell numbers.

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In-class Project

Calculate fraction of time before detection and

fraction of time between detection and lethal burden

– Time to detection (108 cells) – Time to lethal burden (1012 cells)

Primary Doubling Time (days) Number of Cases Malignant Melanoma 48 10 Colon 109 10 116 25 Kidney 66 5 132 8 Thyroid, anaplastic 29 7