COURSE UNIT TITLE

: THE BASIC OF PERSONALIZED CANCER DIAGNOSIS AND TREATMENT

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
TRO 5005 THE BASIC OF PERSONALIZED CANCER DIAGNOSIS AND TREATMENT COMPULSORY 4 0 0 6

Offered By

Translational Oncology

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR YASEMIN BASKIN

Offered to

Translational Oncology

Course Objective

In the modern medicine, personalized medicine associated with cancer and research methods. The concept of covered in this course, among individuals, molecular differences that the occurrence of cancer, prognosis, and determine the effectiveness of treatment; individual approaches to cancer therapy and expectations of personalized medicine ( bench to bed ) will be discussed.

Learning Outcomes of the Course Unit

1   Acquire knowledge of Personalized cancer medicine on the basic applications of clinical studies.
2   Be able to know and apply methods for distinguishing individual differences
3   Be able to know and apply methods for distinguishing individual differences
4   . Be able to know the treatment technology for personalized medicine
5   . Be able to know the differences of treatment outcomes
6   Be able to critically evaluates the published literature in the field of personalized medicine

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The concept of the course and Individualized Medicine
2 The molecular differences between individuals in the formation of cancer, prognosis and efficacy of treatment 1
3 The molecular differences between individuals in the formation of cancer, prognosis and efficacy of treatment 2
4 The cell kinetics in cancer treatment and Individual approach1
5 The cell kinetics in cancer treatment and Individual approach2
6 The choice of therapy and efficacy (influence of factors such as age, performance status, socioeconomic status)
7 The rationale for individualizing cancer treatment 1
8 The rationale for individualizing cancer treatment 2
9 Translational Studies /Bed to bench, Individual medicine (Based on a clinical problem, the models applied in the laboratory, laboratory results of the adaptation of the clinic) 1
10 Translational Studies /Bed to bench, Individual medicine (Based on a clinical problem, the models applied in the laboratory, laboratory results of the adaptation of the clinic) 2
11 Individual differences in efficacy and toxicity of chemotherapeutic agents 1
12 Individual differences in efficacy and toxicity of chemotherapeutic agents 2
13 Individual differences in efficacy and toxicity of chemotherapeutic agents 3
14 Individual differences in efficacy and toxicity of radiotherapy
15 Individual medical outcomes and expectations of personalized medicine (bench to bed)

Recomended or Required Reading

Molecular Biology of the Cell, 6th Edition. Ed. Bruce Alberts, Alexander Johnson, Julian Lewis, Martin Raff, Keith Roberts, Peter Walter. Garland Publishers
Essential Cell Biology - 4th Edition Bruce Alberts, Dennis Bray, Karen Hopkin, Alexander D Johnson, Julian Lewis, Martin Raff, Keith Roberts, Peter Walter Garland Publishers
The Biology of Cancer, 2nd Edition, Robert A. Weinberg, Garland Publishers
Molecular Biology of the Gene, 7th edition, James Watson, Alexander Gann, Tania Baker, Michael Levine, Stephan Bell, Richard Losick, Stephan Harrison Pearson Cold Spring harbor Laboratory Press.
Principles of Molecular Diagnostics and Personalized Cancer Medicine, Dongfeng Tan, henry Lynch, Wolters Kluwer, Lippincott Williams&Wilkins.
The Handbook of Biomarkers, Kewal Jain, Humana Press
Translational and Experimental Clinical Research, Daniel Schuster, William Powers, Lippincott Williams&Wilkins.

Planned Learning Activities and Teaching Methods

Lectures, the topics with classroom activities (presentations and homework assignments) to consolidate and discussion

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 PRF PERFORMANCE
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.20 +PRF * 0.20 + FIN* 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE MTE * 0.20 +PRF * 0.20 +RST* 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

1. The learner will clearly define outlined LO1,LO2, LO3, LO4 which will evaluate with exam.
2. The learner will recognize, LO5, LO6 will evaluate with homework, prepared presentations by themselves and exam.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

yasemin.baskin@deu.edu.tr; 0 232 412 58 01

Office Hours

Monday 13:00-14:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 15 4 60
Preparations before/after weekly lectures 15 3 45
Preparation for midterm exam 1 3 3
Preparation for final exam 1 10 10
Preparing assignments 10 2 20
Preparing presentations 2 5 10
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 150

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.1555555
LO.255555
LO.3555555
LO.4555
LO.55555
LO.65555