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CARES courses

One week courses (online) - preliminary description

Epigenetics in cancer research, organized by Helena Carén, UGOT

The course will introduce the concepts of epigenetics (DNA methylation, chromatin structure and histone modifications and non-coding RNA), how it is involved in diseases, can be used in clinical diagnostics and how epigenetic analyses are planned and performed.


The course will cover the following topics:
(1) The current state of knowledge on epigenetics in health and disease, specifically in cancer
(2) The potential of using epigenetics in cancer diagnostics
(3) Epigenetic therapy as an emerging strategy for treating cancer and
(4) How to design and carry out epigenetic experiments

The course will consist of lectures, a lab exercise and a discussion session where students have the opportunity to discuss their own projects, focusing on epigenetic questions.

Learning outcomes: After completion of the course, the student should be able to:

  • Demonstrate an advanced knowledge of the concept of epigenetics and its role in health and disease
  • Discuss experimental strategies and tools for epigenetic analyses
  • Demonstrate ability to be able to design, carry out and interpret an epigenetic screen
  • Critically analyse, explain, discuss and present scientific topics and research issues in epigenetic

Liquid biopsy, organized by Anders Ståhlberg, UGOT

This course targets scientists entering the field of single cell analysis and teach different preparation and quantification methods at the single-cell level with a specific focus on tumor biology. 


This course will provide the students with solid understanding of single-cell biology.The course will also include practical exercises about single-cell collection, sample preparation and data analysis. The course will focus on latest state-of-art technologies in gene expression profiling, but single-cell DNA, DNA methylation and protein analysis will be covered by lectures. Furthermore, the course will also cover practical exercises about single cell data analysis that partly differ from traditional population analysis. Finally, the course will include a couple of applications in tumor biology that will illustrate the pros and cons of applying single-cell analysis.

Learning outcomes: After completion of the course, the student should be able to:

  • Perform single-cell analysis on tumor material
  • Analyze and interpret single-cell data
  • Reflect and discuss the importance of tumor subpopulations and tumor heterogeneity

Translational cancer research, organized by UGOT

The course will convey an enhanced knowledge about translational cancer research, as well as empower the student to make an informed decision of suitable methods for his/her own research situation. 


The course will provide an introduction to bench-to-bedside research. A survey of descriptions of different examples of projects with a strong translational edge will be provided. The role of different competences required to finalize a translational project including medical doctors, pre-clinical investigators and industry will be exemplified. Different work flows such as biobanking, sequencing data, biomarker discovery, animal modeling, clinical chemistry and immunology, drug and diagnostics development and early clinical trials will be described by national and international experts. In parallel, the students will perform a literature review of translational research of particular interest, with the aim of designing a new project.

Learning outcomes: After completion of the course, the student should be able to: compare and contrast the position of translational research in relation to basic and clinical research by

  • Reflect on some of the hindrances (the valley of death) - structural or individual – to overcome to become successful in translational research
  • Relate the knowledge about translational research to his/her own research

Medical Bioinformatic, organized by Gottfrid Sjödahl and Karin Engström, LU

The analysis of the proteome can provide a better understanding of the underlying molecular mechanisms of disease states and the progression of a disease. Global quantitative proteomics are used in the study of differential expressed proteins and enable the discovery of potential cancer biomarkers for diagnosis and monitoring as well as targets for treatment. Also identification of protein binding partners and the analysis of protein modifications, such as phosphorylation that play a significant role in the mechanisms of cell regulation in normal and cancer cells, are frequently performed in cancer project. The aim of the course is to present proteomic strategies that can be employed in cancer research. Invited speakers will highlight cutting-edge proteomic research in the cancer field. In a separate section NMR based methodology for analysis of protein structure and cancer metabolomics with identification and follow up of biomarkers.

Learning outcomes: After the course the students should be able to

  • Explain the principles and methods on how proteins can be identified and quantified by mass spectrometry
  • Understand the importance protein expression, post-translational modifications, and complex formation in healthy and diseased tissue
  • Explain the basics of the software methods used in protein studies
  • Independently analyze data using the main databases for proteomics research
  • Explain the basics of NMR based protein analysis and NMR use in cancer metabolomics
  • Interpret and use data from NMR based analysis

Clinical trial in cancer (online)

The course will run during the whole 18 month period and cover the following aspects in clinical trial in cancer:

  • Good Clinical Practice (ICH GCP)
  • Clinical trial design
  • Ethics
  • National regulation in clinical trials
  • Strategies and tools for recruitment
  • Clinical trial protocol
  • Administration of clinical trials
  • Statistics and power in study design
  • Data analysis and management
  • Result and evaluation
  • Registerbased randomised clinical trials
  • Health economy and clinical research

The course consists of approximately 17 modules with online lectures and assignments.