COURSE UNIT TITLE

: BIOMARKERS IN CANCER PREVENTION

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
OKE 6002 BIOMARKERS IN CANCER PREVENTION ELECTIVE 2 2 0 8

Offered By

Canser Epidemiology Doctorate

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR YASEMIN BAŞBINAR

Offered to

Canser Epidemiology Doctorate
Canser Epidemiology

Course Objective

The focus of this course is on the application and interpretation of cancer studies using biomarkers. Topics include biomarkers, biomarkers related to exposure, metabolism / activation and other biological pathways, intermediates / endpoints, early cancer detection and prognosis. In each subject, examples are discussed to illustrate different issues in the interpretation of the results. The class will be devoted to theoretical lectures, article readings and discussions.

Learning Outcomes of the Course Unit

1   Knows the concept of biomarker in cancer prevention.
2   Reach databases related to cancer biomarkers.
3   Will be able to understand cancer biomarkers by reading in literature.
4   Define different biomarkers according to cancer types.
5   Follow the publications related to biomarkers in cancer research.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to biomarkers
2 Biomarkers in Cancer Epidemiology-1
3 Biomarkers in Cancer Epidemiology-2
4 Literature review of cancer-related biomarkers
5 Database scanning of cancer biomarkers-1
6 Database screening for cancer biomarkers-2
7 Biomarkers based on cancer types-1
8 Biomarkers according to cancer types-2
9 Biomarkers according to cancer types-3
10 Discussion
11 Term presentations-1
12 Term presentations-2
13 An overview for final exam
14 An overview for final exam2

Recomended or Required Reading

Textbook of Cancer Epidemiology, Third Edition, Edited by Hans-Olov Adami, Edited by David J. Hunter, Edited by Pagona Lagiou, and Edited by Lorelei Mucci

Planned Learning Activities and Teaching Methods

Making theoretical lessons, Preparing for exam, homework preparation, laboratory practice

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE ASG * 0.50+ FIN* 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.50+ RST* 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Learning outcomes will be evaluated by using classical written long answer questions in the final exam.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

hulya.ellidokuz@deu.edu.tr 0 232 4125889/5801

Office Hours

Tuesday 12.30-13.30

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 15 3 45
Preparations before/after weekly lectures 10 2 20
Preparation for final exam 1 30 30
Preparing assignments 5 10 50
Preparing presentations 5 10 50
Final 1 2 2
TOTAL WORKLOAD (hours) 197

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.15555
LO.25555
LO.35555
LO.45555
LO.55555