Molecular Tumor Boards: Ethical Issues in the New Era of Data Medicine View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-02

AUTHORS

Henri-Corto Stoeklé, Marie-France Mamzer-Bruneel, Charles-Henry Frouart, Christophe Le Tourneau, Pierre Laurent-Puig, Guillaume Vogt, Christian Hervé

ABSTRACT

The practice and development of modern medicine requires large amounts of data, particularly in the domain of cancer. The future of personalized medicine lies neither with "genomic medicine" nor with "precision medicine", but with "data medicine" (DM) (big data, data mining). The establishment of this DM has required far-reaching changes, to establish four essential elements connecting patients and doctors: biobanks, databases, bioinformatic platforms and genomic platforms. The "transformation" of scientific research areas, such as genetics, bioinformatics and biostatistics, into clinical specialties has generated a new vision of care. Molecular tumor boards (MTB) are one response to these changes and are now providing better access to next-generation sequencing (NGS) and new cancer treatments to patients with inoperable or metastatic cancers, and those for whom the usual treatment has failed. However, MTB face a crucial ethical challenge: maintaining and improving the trust of patients, clinicians, researchers and industry in academic medical centers supported by private or public funding rather than providing genetic data directly to private companies. We believe that, in this era of DM, appropriate modern digital communication networks will be required to maintain this trust and to improve the organization and effectiveness of the system. There is, therefore, a need to reconsider the form and content of informed consent (IC) documents at all academic medical centers and to introduce dynamic and electronic informed consent (e-IC). More... »

PAGES

307-322

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11948-017-9880-8

    DOI

    http://dx.doi.org/10.1007/s11948-017-9880-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1084033554

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28281147


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