COURSE UNIT TITLE

: THE BASIC OF CANCEROMICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
TRO 5002 THE BASIC OF CANCEROMICS COMPULSORY 3 0 0 6

Offered By

Translational Oncology

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR GIZEM ÇALIBAŞI KOÇAL

Offered to

Translational Oncology
Translational Oncology

Course Objective

Omics technology for cancer detection and their application in modern cancer clinics, Omics technologies, their use in the field of cancer, system biology, clinical use of canceromics will be discussed

Learning Outcomes of the Course Unit

1   Knowledgeable about omics.
2   Acquire knowledge of use of omic biomarkers in cancer
3   Be able to know genomics, proteomics, pharmacogenomics methods.
4   Be able to know epigenomic, lipidomics methods.
5   Be able to expresse to the concept of system biology
6   Be able to critically evaluate the clinical use of canceromics

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Omics approaches in cancer research
2 Genomics in Cancer (New generation sequencing technologies, Cancer Genome Atlas, Single-cell genomics)
3 Oncogenomics in Cancer: From Genes to Pathway Analysis
4 Pharmacogenomics: From Genes to Drug Responses
5 Epigenomics in Cancer
6 Transcriptomics in Cancer
7 Interactome profiling in cancer
8 Metabolomics and Lipidomcs in Cancer
9 Proteomics in Cancer
10 Phenomics in Cancer
11 System Biology in Cancer
12 Microbiome in Cancer
13 Canceromics and Individualized Treatments
14 Integration of Omics data with Machine Learning and Artificial Intelligence
15 Canceromics and Biobanks

Recomended or Required Reading

An Omics Perspective on Cancer Research. Springer. 2010 Editors: Cho, William Chi-Sing (Ed.)
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.
Klinik Araştırmalar Kitabı 2014, Hamdi Akan, Hilal Ilbars, Nurşah Çetinkaya, Bilimsel Tıp Yayınevi
Designing Clinical Research 4th Edition, Steven R Cummings , Warren S Browner , Deborah G Grady , Thomas B Newman , Dr Stephen B Hulley, Lippincott Williams&Wilkins.
Cammarota, G., Ianiro, G., Ahern, A. et al. Gut microbiome, big data and machine learning to promote precision medicine for cancer. Nat Rev Gastroenterol Hepatol 17, 635 648 (2020). https://doi.org/10.1038/s41575-020-0327-3
Epstein RJ, Lin FP. Cancer and the omics revolution. Aust Fam Physician. 2017;46(4):189-193. PMID: 28376570.
Gemma L D Adamo1, James T Widdop, Edward M Giles. The future is now Clinical and translational aspects of Omics technologies. Immunology and Cell Biology. 2020, 1 9.

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 student will clearly define outlined LO1, LO2, LO3, which will evaluate with exam.
2. The student will recognize, LO4, 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)

gizem.calibasi@deu.edu.tr

Office Hours

By appointment, Thursday 11:00-12:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 15 3 45
Preparations before/after weekly lectures 15 3 45
Preparation for midterm exam 1 8 8
Preparation for final exam 1 10 10
Preparing assignments 5 4 20
Preparing presentations 2 10 20
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.2555555
LO.35555555
LO.455555555
LO.555555555
LO.655555555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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