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Sökning: WFRF:(Bangma Christopher) > Forskningsöversikt

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1.
  • Barbieri, Christopher E., et al. (författare)
  • The Mutational Landscape of Prostate Cancer
  • 2013
  • Ingår i: European Urology. - : Elsevier BV. - 1873-7560 .- 0302-2838. ; 64:4, s. 567-576
  • Forskningsöversikt (refereegranskat)abstract
    • Context: Prostate cancer (PCa) is a clinically heterogeneous disease with marked variability in patient outcomes. Molecular characterization has revealed striking mutational heterogeneity that may underlie the variable clinical course of the disease. Objective: In this review, we discuss the common genomic alterations that form the molecular basis of PCa, their functional significance, and the potential to translate this knowledge into patient care. Evidence acquisition: We reviewed the relevant literature, with a particular focus on recent studies on somatic alterations in PCa. Evidence synthesis: Advances in sequencing technology have resulted in an explosion of data regarding the mutational events underlying the development and progression of PCa. Heterogeneity is the norm; few abnormalities in specific genes are highly recurrent, but alterations in certain signaling pathways do predominate. These alterations include those in pathways known to affect tumorigenesis in a wide spectrum of tissues, such as the phosphoinositide 3-kinase/phosphatase and tensin homolog/Akt pathway, cell cycle regulation, and chromatin regulation. Alterations more specific to PCa are also observed, particularly gene fusions of ETS transcription factors and alterations in androgen signaling. Mounting data suggest that PCa can be subdivided based on a molecular profile of genetic alterations. Conclusions: Major advances have been made in cataloging the genomic alterations in PCa and understanding the molecular mechanisms underlying the disease. These findings raise the possibility that PCa could soon transition from being a poorly understood, heterogeneous disease with a variable clinical course to being a collection of homogenous subtypes identifiable by molecular criteria, associated with distinct risk profiles, and perhaps amenable to specific management strategies or targeted therapies. (C) 2013 European Association of Urology. Published by Elsevier B.V. All rights reserved.
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2.
  • Bruinsma, Sophie M, et al. (författare)
  • Expert consensus document : Semantics in active surveillance for men with localized prostate cancer - results of a modified Delphi consensus procedure
  • 2017
  • Ingår i: Nature Reviews Urology. - : Springer Science and Business Media LLC. - 1759-4820 .- 1759-4812. ; 14:5, s. 312-322
  • Forskningsöversikt (refereegranskat)abstract
    • Active surveillance (AS) is broadly described as a management option for men with low-risk prostate cancer, but semantic heterogeneity exists in both the literature and in guidelines. To address this issue, a panel of leading prostate cancer specialists in the field of AS participated in a consensus-forming project using a modified Delphi method to reach international consensus on definitions of terms related to this management option. An iterative three-round sequence of online questionnaires designed to address 61 individual items was completed by each panel member. Consensus was considered to be reached if ≥70% of the experts agreed on a definition. To facilitate a common understanding among all experts involved and resolve potential ambiguities, a face-to-face consensus meeting was held between Delphi survey rounds two and three. Convenience sampling was used to construct the panel of experts. In total, 12 experts from Australia, France, Finland, Italy, the Netherlands, Japan, the UK, Canada and the USA participated. By the end of the Delphi process, formal consensus was achieved for 100% (n = 61) of the terms and a glossary was then developed. Agreement between international experts has been reached on relevant terms and subsequent definitions regarding AS for patients with localized prostate cancer. This standard terminology could support multidisciplinary communication, reduce the extent of variations in clinical practice and optimize clinical decision making.
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