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Journal of Bone and Mineral Research
Article . 2010 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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Osteosarcoma

Authors: Richard, Gorlick; Chand, Khanna;
Abstract

Abstract It has been difficult to identify the molecular features central to the pathogenesis of osteosarcoma owing to a lack of understanding of the cell or origin, the absence of identifiable precursor lesions, and its marked genetic complexity at the time of presentation. Interestingly, several human genetic disorders and familial cancer syndromes, such as Li-Fraumeni syndrome, are linked to an increased risk of osteosarcoma. Association of these same genetic alterations and osteosarcoma risk have been confirmed in murine models. Osteosarcoma is associated with a variety of genetic abnormalities that are among the most commonly observed in human cancer; it remains unclear, however, what events initiate and are necessary to form osteosarcoma. The availability of new resources for studying osteosarcoma and newer research methodologies offer an opportunity and promise to answer these currently unanswered questions. Even in the absence of a more fundamental understanding of osteosarcoma, association studies and preclinical drug testing may yield clinically relevant information. © 2010 American Society for Bone and Mineral Research

Keywords

Clinical Trials as Topic, Osteosarcoma, Lung Neoplasms, Neovascularization, Pathologic, Bone Neoplasms, Bone and Bones, Li-Fraumeni Syndrome, Mice, Dogs, Drug Resistance, Neoplasm, Animals, Humans, Genetic Predisposition to Disease, Age of Onset, Genetic Association Studies

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    149
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
149
Top 1%
Top 10%
Top 10%
hybrid