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Proper Citation: OncoTrack (RRID:SCR_003767)
Description: An international consortium to develop and assess novel approaches to identify and characterize biological markers for colon cancer that will deepen the understanding of the variable make-up of tumors and how this affects the way patients respond to treatment. They will use cutting edge laboratory-based genome sequencing techniques coupled to novel computer modelling approaches to study both the biological heterogeneity of colon cancers (i.e. patient to patient variability) as well as tumor variation within the patient for example, by comparing primary tumors with metastases. This five year project brings together top scientists from European academic institutions offering a wide range of expertise, and partners them with pharmaceutical companies. The project is based on the premise that this genetic and epigenetic information, combined with a description of the molecular pathology of the tumor, will allow OncoTrack to generate a more accurate in-silico model of the cancer cell. This will facilitate the identification of predictive markers that can be used to guide the optimal therapy strategy at the level of the individual patient - and will also provide on-going prognostic guidance for the clinician. This project will not only advance understanding of the fundamental biology of colon cancers but will provide the means and approach for the identification of previously undetected biomarkers not only in the cancer under study, but potentially also in other solid cancers and, in doing so, open the door for personalized management of the oncology patient.
Abbreviations: OncoTrack
Synonyms: OncoTrack - Methods for systematic next generation oncology biomarker development, Onco Track
Resource Type: portal, consortium, organization portal, data or information resource
Keywords: oncology, biomarker, diagnosis, basic science, genome sequencing, computer modelling, genetic, epigenetic, pathology, model, cancer cell, colon, cancer, treatment, genomics, clinical, systems biology, in-silico model, patient variability, tumor variability
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Max Planck Institute for Molecular Genetics; Berlin; Germany |
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Max Planck Institute for Molecular Genetics; Berlin; Germany |
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