Molecular pathology – The value of an integrative approach
Author(s) -
Salto-Tellez Manuel,
James Jacqueline A.,
Hamilton Peter W.
Publication year - 2014
Publication title -
molecular oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.332
H-Index - 88
eISSN - 1878-0261
pISSN - 1574-7891
DOI - 10.1016/j.molonc.2014.07.021
Subject(s) - value (mathematics) , molecular pathology , pathology , medicine , computational biology , biology , computer science , genetics , gene , machine learning
Molecular Pathology (MP) is at the heart of modern diagnostics and translational research, but the controversy on how MP is best developed has not abated. The lack of a proper model or trained pathologists to support the diagnostic and research missions makes MP a rare commodity overall. Here we analyse the scientific and technology areas, in research and diagnostics, which are encompassed by MP of solid tumours; we highlight the broad overlap of technologies and analytical capabilities in tissue research and diagnostics; and we describe an integrated model that rationalizes technical know‐how and pathology talent for both. The model is based on a single, accredited laboratory providing a single standard of high‐quality for biomarker discovery, biomarker validation and molecular diagnostics.
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