COURSE UNIT TITLE

: PERSONALIZED MEDICINE AND TAILORED THERAPY IN CANCER

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ONK 6090 PERSONALIZED MEDICINE AND TAILORED THERAPY IN CANCER ELECTIVE 2 2 0 9

Offered By

Basic Oncology

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSOCIATE PROFESSOR YASEMIN BASKIN

Offered to

Basic Oncology

Course Objective

At the point where today's medicine, cancer-related methods to examine and discuss the concept of individualized medicine1

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 the differences of metabolism between individuals and understand the importance of individualizing cancer treatment
4   Knowledgeable individualized medicine about cancer and treatment methods
5   Be able to know the differences of treatment outcomes
6   Acquire ability to practice of the personalized medicine laboratory techniques.

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 Methods to measure of individual differences. Molecular diagnosis
3 Methods to measure of individual differences. Biomarkers
4 Methods to measure of individual differences. Histopathology
5 Methods to measure of individual differences. Proteomics
6 Methods to measure of individual differences. metabolamics
7 Methods to measure of individual differences. System biology
8 Individual medicine-specific statistical concepts (concepts of sensitivity and specificity, , identification of predictive factors, profile analysis, risk identification, bioinformatics, multi-gene analysis)
9 The metabolic differences between individuals in the formation of cancer, prognosis and efficacy of treatment
10 The cell kinetics in cancer treatment and Individual approach
11 The choice of therapy and efficacy ( influence of factors such as age, performance status, socioeconomic status)
12 The rationale for individualizing cancer treatment
13 Treatment of patient individuals to adapt the results of clinical cancer research
14 Individual differences in efficacy and toxicity of alkylating agents
15 Individual differences in efficacy and toxicity of anthracyclines
16 Individual differences in efficacy and toxicity of antimetabolites
17 Individual differences in efficacy and toxicity of platinum derivatives
18 Individual differences in efficacy and toxicity of other chemotherapeutic agents
19 Individual differences in efficacy and toxicity of tyrosine kinase inhibitors
20 Individual differences in efficacy and toxicity of monoclonal antibodies
21 Individual differences in efficacy and toxicity of biological modifiers
22 Individual differences in efficacy and toxicity of hormonal therapies
23 Individual differences in efficacy and toxicity of radiotherapy
24 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)
25 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)
26 Treatment technologies provided by individual medicine (research on treatment techniques)
27 Treatment technologies provided by individual medicine (cancer vaccines)
28 Individual treatment provided by medical technologies (cellular modulations)
29 Individual treatment provided by medical technologies (nanobiotechnology, drug design)
30 Individual medical outcomes and expectations

Recomended or Required Reading

Textbook(s):
1. Pharmacogenomics and Personalized Medicine,Nadine Cohen, Humana Press; 1 ed, 2008
2.Genomic and Personalized Medicine, Two-Vol Set: V1-2, Huntington Ph.D Willard (Editor), Geoffrey S. Ginsburg (Editor) Academic Press; 1 edition, 2008
3.Textbook of Personalized Medicine, Kewal K. Jain, Springer, 1998
4.The Language of Life: DNA and the Revolution in Personalized Medicine ,Francis S. Collins, Harper, 2010
References: Baskın Y, Çalıbaşı G,"Kanser hastalarında farmakogenetik uygulamaları ve farmakoekonomi", Turk Hij Den Biyol Derg, 68/3/152-164/2011, 2011,
6.Baskın Y, Yigitbasi T,"Clinical Proteomics of Breast Cancer", Current Genomics, 11/7/528-536/2010
7. Baskın Y, Afacan G, Erkunt SS, Yiğitbaşı T,"A new method in systemic autoimmune diseases diagnosis: Multiplex test system and method performances", Turkish Journal of Biochemistry, 33/1/19- 24/2008
8. Baskın Y " Tıpta teknolojik gelişimin neden olduğu kavram değişimleri: kişiselleştirilmiş tıp" turk bull hıj and exp bio

Planned Learning Activities and Teaching Methods

Theoretical and applied Lectures, the topics in-class activities (presentations and assignments) to consolidate and discussion, laboratory applications, and application assignments

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRF PERFORMANCE
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE PO * 0.40 + FN*0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) PO * 0.40 + BUT*0.60

Further Notes About Assessment Methods

None

Assessment Criteria

Learning outcomes, intermediate and long-answer questions will be evaluated with classical written final exam. Strengthened by homework. Midterm exam will consist of half of the evaluation of laboratory applications

8. Yasemin BASKIN,"Tıpta Teknolojik Gelişimin Neden Olduğu Kavram Değişimleri: Kişiselleştirilmiş Tıp", Turkish Bulletion of Hygiene and Experimental Biology, 64/2/54-59/2007, 2007

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

yasemin.baskin@deu.edu.tr 0 232 4125890/5801

Office Hours

Monday 12.30-13.30

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 30 1 30
Tutorials 15 2 30
Preparation for midterm exam 1 63 63
Preparation for final exam 1 70 70
Preparing assignments 1 30 30
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 225

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.155
LO.255555
LO.355
LO.4555
LO.5555
LO.655555