Summary


Cancer is one of the commonest causes of patient death in the clinic and a complex disease occurring in multiple organs per system, multiple systems per organ, or both, in the body. Advances in high-throughput sequencing technologies have enabled cost-effective sequencing of a single human genome at an unprecedented rate, facilitating scientific endeavours never imagined possible before. These improvements have transformed the field of cancer genomics, allowing the complete molecular characterization of individual cancer genomes. However, the promise of unveiling the complexity of cancer has lent itself to yet another level of complexity, the task of managing and integrating the massive amount of data that is generated as part of such experiments. The availability of these data, and the insights they may provide into the biology of disease, has many in the research community excited about the possibility of expediting progress toward precision medicine—that is, tailoring prevention, diagnosis, and treatment based on the molecular characteristics of a patient’s disease.

Additionally, bioinformatic algorithms and software, designed specifically for the analysis of cancer genomic data, are now able comprehensively to profile the mutations in a cancer sample, and cancer bioinformatics is expected to play a more important role in the identification and validation of biomarkers, specific to clinical phenotypes related to early diagnoses, measurements to monitor the progress of the disease and the response to therapy, and predictors for the improvement of patient’s life quality. Of gene-, protein-, peptide-, chemical- or physic-based variables in cancer, biomarkers were investigated from a single one to multiple markers, from the expression to functional indication, and from the network to dynamic network.

Potential Topics


 Molecular basis of Cancer. Diagnostic and treatment techniques

 Liquid biopsy

 Personalised and precision medicine

 Multiomics cancer data integration

 Genetic and epigenetic alterations in cancer

 NGS applications in research and clinical practices

 Big data applications in cancer research

 Cancer bioinformatics

Target Audience


Researchers (cancer researchers, informatics researchers, health services researchers, bioinformaticians), healthcare professionals (physicians, nurses, laboratory services, radiologists, hospital administrators, hospital practice designers, etc.), IT for health developers.

THE ONCONET-SUDOE PROJECT


ONCONET SUDOE is a cooperation network in oncology, co-financed by the INTERREG SUDOE program. It seeks to connect researchers, care providers, biobanks and companies to set long-term relationships that foster innovation in oncology sector.


ONCONET SUDOE members are: Université Toulouse III Paul Sabatier; Fundación Miguel Servet – Navarrabiomed; BIOCAT, la Fundació BioRegió de Catalunya; Fundación Centro Nacional de Investigaciones Oncológicas Carlos III – CNIO; Fundación Parque Tecnológico de Ciencias de la Salud de Granada; Universidade de Coimbra; Instituto Catalán de Oncología de Barcelona.

www.onconet-sudoe.eu

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