Leveraging cancer genome information in hematologic malignancies Journal Article


Authors: Rampal, R.; Levine, R. L.
Article Title: Leveraging cancer genome information in hematologic malignancies
Abstract: The use of candidate gene and genome-wide discovery studies in the last several years has led to an expansion of our knowledge of the spectrum of recurrent, somatic disease alleles, which contribute to the pathogenesis of hematologic malignancies. Notably, these studies have also begun to fundamentally change our ability to develop informative prognostic schema that inform outcome and therapeutic response, yielding substantive insights into mechanisms of hematopoietic transformation in different tissue compartments. Although these studies have already had important biologic and translational impact, significant challenges remain in systematically applying these findings to clinical decision making and in implementing new technologies for genetic analysis into clinical practice to inform real-time decision making. Here, we review recent major genetic advances in myeloid and lymphoid malignancies, the impact of these findings on prognostic models, our understanding of disease initiation and evolution, and the implication of genomic discoveries on clinical decision making. Finally, we discuss general concepts in genetic modeling and the current state-of-the-art technology used in genetic investigation.
Keywords: genetics; mutation; review; methodology; genetic predisposition to disease; biological model; genetic association; genome-wide association study; hematologic neoplasms; genomics; models, genetic; genetic predisposition; hematologic disease; translational research; translational medical research
Journal Title: Journal of Clinical Oncology
Volume: 31
Issue: 15
ISSN: 0732-183X
Publisher: American Society of Clinical Oncology  
Date Published: 2013-05-20
Start Page: 1885
End Page: 1892
Language: English
DOI: 10.1200/jco.2013.48.7447
PUBMED: 23589554
PROVIDER: scopus
PMCID: PMC5795664
DOI/URL:
Notes: --- - "Export Date: 1 August 2013" - "Source: Scopus"
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  1. Raajit Kumar Rampal
    338 Rampal
  2. Ross Levine
    775 Levine