Translational Cancer Research

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1 Translational Cancer Research The Scientific Methodology, Technologies, Infrastructure, Clinical Validation Trials and Implementation The Doctoral School of Clinical Science and Biomedicine, Aalborg University Course coordinators: Post doc Julie Støve Bødker, PhD student Anders Bilgrau, PhD student Sara Marques Aalborg University Hospital, and The Clinical Cancer Research Center, Aalborg University Hospital (CCRC-Aalborg UH)

This PhD course will focus on the classic research strategies to obtain diagnostic as well as therapeutic improvements As background for a paradigm shift from "one fits all" to individualized

2 This PhD course will focus on the classic research strategies to obtain diagnostic as well as therapeutic improvements As background for a paradigm shift from "one fits all" to individualized strategies in clinical practice. The complex cancer biology model for oncogenesis will be presented documenting the importance of the translational approach requiring a multidisciplinary network.

Based on highly selected lectures and papers, we will discuss novel, cutting edge technologies Multiparametric Flow Cytometry and Cell Sorting,

3 Based on highly selected lectures and papers, we will discuss novel, cutting edge technologies Multiparametric Flow Cytometry and Cell Sorting, Microarray Technologies, Gene Sequencing, Biobanking. Cancer models Cancer Cell Lines Mice Models The future design of trials Treatment, Diagnostics Endpoints

Outcome will be insight into new technologies/approaches Understanding the scientific methodology i.e. theories which generates hypothesis that can be falsified by asking questions, which can be answered.

4 Outcome will be insight into new technologies/approaches Understanding the scientific methodology i.e. theories which generates hypothesis that can be falsified by asking questions, which can be answered. Allowing you to participate in the translation of scientific discoveries into cost-effective and meaningful clinical improvements in patient care. Literature hands out: The Unwritten Rules of PhD Research Marian Petre & Gordon Rugg Open University Press, 2010, paperback, ISBN

5 Evaluation To pass the course, it is expected that the participants will attend all lectures and present and discuss a priori given highly selected article on the course topic or the status of her/his PhD project including hypothesis, aims, findings and conclusions. Contents Lectures, Workshops, Journal clubs and Student presentations. Language English ECTS Estimated 3.0 5

Infrastructure Infrastructure National Clinical Cancer Strategy The KOF report Biotechnology New technologies Global analysis and data handling Room for novelty Paradigm shift

6 Infrastructure Infrastructure National Clinical Cancer Strategy The KOF report Biotechnology New technologies Global analysis and data handling Room for novelty Paradigm shift Differentiation Individual therapy Prediction: Estimation of diagnosis or outcome for individuals following a specific intervention. Prognosis: Estimate the outcome for a group of patients.

7 Evidence based implementation in clinical care Phase I Drugs Stage 1 Diagnostica Phase II Stage 2 Phase III Stage 3 Phase IV Stage 4 7

8 Evidence based implementation in clinical care Drugs Diagnostica Phase I Stage 1 Phase II Phase III Stage 2 Stage 3 Proof of principle! Phase IV Stage 4 8

9 The Future Patient work out will including integrative multiparametric analysis for Diagnosis Classification Prognosis Prediction Estimations will be in the medical chart as the results from analysis in the molecular diagnostic laboratory lead by Bioinformaticians Statisticians Molecular Biologists Patient NN CPR Hæm Afd. 7V Aalborg Sygehus, Aalborg Universitetshospital Svar afgivet af Molekylærdiagnostisk Laboratorium Aalborg Sygehus Fra ovenstående patient er der modtaget sufficient vævsprøve til genanalyse, som er analyseret med følgende konklusioner: Vævet stammer fra et DLBCL af undertype GCB-CC og prognostisk subtype 7.3. De genetiske markører X, Y and Z er valideret med Q-PCR og kan udnyttes ved vurdering af restsygdom. Den mest følsomme kombination af kemoterapeutika fremgår af sensitivitets indekserne nedenfor. Ønskes der for denne patient udført toksicitets risikovurdering for den valgte behandling skal der fremsende genomisk DNA til polymorfi undersøgelser. HEJ 9

10 Translational Cancer Research The Scientific Methodology, Technologies, Infrastructure, Clinical Validation Trials and Implementation The Doctoral School of Clinical Science and Biomedicine, Aalborg University Course coordinators: Post doc Julie Støve Bødker, PhD student Anders Bilgrau, PhD student Sara Marques Aalborg University Hospital, and The Clinical Cancer Research Center, Aalborg University Hospital (CCRC-Aalborg 10 UH)

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