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Preliminary Communication

Identification of novel genes by whole-exome sequencing can improve gastric cancer precision oncology

    Georgios D Lianos

    Centre for Biosystems & Genomic Network Medicine, University of Ioannina, Ioannina, Greece

    Department of Surgery, School of Medicine, University of Ioannina, Ioannina, Greece

    ,
    Georgios K Glantzounis

    Department of Surgery, School of Medicine, University of Ioannina, Ioannina, Greece

    ,
    Christina D Bali

    Department of Surgery, School of Medicine, University of Ioannina, Ioannina, Greece

    ,
    Christos Katsios

    Centre for Biosystems & Genomic Network Medicine, University of Ioannina, Ioannina, Greece

    Department of Surgery, School of Medicine, University of Ioannina, Ioannina, Greece

    &
    Dimitrios H Roukos

    *Author for correspondence:

    E-mail Address: droukos@uoi.gr

    Centre for Biosystems & Genomic Network Medicine, University of Ioannina, Ioannina, Greece

    Department of Surgery, School of Medicine, University of Ioannina, Ioannina, Greece

    Commision of Innovation & Research, University of Ioannina, Ioannina, Greece

    Biomedical Research Foundation of the Academy of Athens (BRFAA), Systems Biology, Athens, Greece

    Published Online:https://doi.org/10.2217/fon-2016-0430

    Aim: By identifying cancer driver genes involved in tumorigenesis, whole-exome sequencing (WES) analyses enable the development of robust biomarkers and novel therapeutic targets to reach precision oncology. Patients & methods: WES analyses were performed in matched gastric cancer-normal gastric tissues from two patients. We compared genes highlighted with those of a database and recent WES/whole-genome sequencing studies. Results: We identified 32 highlighted gastric cancer genes, two of these (DEFB118 and RNF43) may provide future potential clinical implications. Conclusion: Definitive evidence on extensive genetic heterogeneity suggests the need for large-scale next-generation sequencing studies to validate gastric cancer driver genes catalog. This list represents the foundation for developing genome-based biomarkers to guide precision gastric cancer treatment.

    Papers of special note have been highlighted as: • of interest; •• of considerable interest

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