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Cited by 340

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Genomics-Driven Oncology: Framework for an Emerging Paradigm

Garraway, Levi A.·2013·Journal of Clinical Oncology

Abstract

A majority of cancers are driven by genomic alterations that dysregulate key oncogenic pathways influencing cell growth and survival. However, the ability to harness tumor genetic information for its full clinical potential has only recently become manifest. Over the past several years, the convergence of discovery, technology, and therapeutic development has created an unparalleled opportunity to test the hypothesis that systematic knowledge of genomic information from individual tumors can improve clinical outcomes for many patients with cancer. Rigorous evaluation of this genomics-driven cancer medicine hypothesis will require many logistic innovations that are guided by overarching conceptual advances in tumor genomic profiling, data interpretation, clinical trial design, and the ethical return of genetic results to oncologists and their patients. The results of these efforts and the rigor with which they are implemented will determine whether and how comprehensive tumor genomic information may become incorporated into the routine care of patients with cancer.

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Metadata

Authors
Garraway, L. A.
Venue
Journal of Clinical Oncology
Published
2013-05-20
Volume
31
Issue
15
Pages
1806-1814
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W1980852206
Cited by
340
References
63
FWCI
13.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Genomics-Driven Oncology: Framework for an Emerging Paradigm. https://app.cochat.ai/papers/10.1200/jco.2012.46.8934
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Garraway, L. A. (2013). Genomics-Driven Oncology: Framework for an Emerging Paradigm. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2012.46.8934

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.