Molecular subtypes of pancreatic cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02-04

AUTHORS

Eric A Collisson, Peter Bailey, David K Chang, Andrew V Biankin

ABSTRACT

Cancers that appear morphologically similar often have dramatically different clinical features, respond variably to therapy and have a range of outcomes. Compelling evidence now demonstrates that differences in the molecular pathology of otherwise indistinguishable cancers substantially impact the clinical characteristics of the disease. Molecular subtypes now guide preclinical and clinical therapeutic development and treatment in many cancer types. The ability to predict optimal therapeutic strategies ahead of treatment improves overall patient outcomes, minimizing treatment-related morbidity and cost. Although clinical decision making based on histopathological criteria underpinned by robust data is well established in many cancer types, subtypes of pancreatic cancer do not currently inform treatment decisions. However, accumulating molecular data are defining subgroups in pancreatic cancer with distinct biology and potential subtype-specific therapeutic vulnerabilities, providing the opportunity to define a de novo clinically applicable molecular taxonomy. This Review summarizes current knowledge concerning the molecular subtyping of pancreatic cancer and explores future strategies for using a molecular taxonomy to guide therapeutic development and ultimately routine therapy with the overall goal of improving outcomes for this disease. More... »

PAGES

1

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    http://scigraph.springernature.com/pub.10.1038/s41575-019-0109-y

    DOI

    http://dx.doi.org/10.1038/s41575-019-0109-y

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    PUBMED

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    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41575-019-0109-y'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41575-019-0109-y'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41575-019-0109-y'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41575-019-0109-y'


     

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