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Cited by 503

The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.

Implementing Genome-Driven Oncology

Open access
Hyman, David M., Taylor, Barry S., Baselga, José·2017·Cell

Abstract

Early successes in identifying and targeting individual oncogenic drivers, together with the increasing feasibility of sequencing tumor genomes, have brought forth the promise of genome-driven oncology care. As we expand the breadth and depth of genomic analyses, the biological and clinical complexity of its implementation will be unparalleled. Challenges include target credentialing and validation, implementing drug combinations, clinical trial designs, targeting tumor heterogeneity, and deploying technologies beyond DNA sequencing, among others. We review how contemporary approaches are tackling these challenges and will ultimately serve as an engine for biological discovery and increase our insight into cancer and its treatment.

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Crossref · 10.1016/j.cell.2016.12.015

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Metadata

Authors
Hyman, D. M., Taylor, B. S., & Baselga, J.
Venue
Cell
Publisher
Elsevier BV
Published
2017-02
Volume
168
Issue
4
Pages
584-599
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2586159641
Cited by
503
References
99
FWCI
19.40
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Implementing Genome-Driven Oncology. https://app.cochat.ai/papers/10.1016/j.cell.2016.12.015
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Hyman, D. M., Taylor, B. S., & Baselga, J. (2017). Implementing Genome-Driven Oncology. Cell. https://doi.org/10.1016/j.cell.2016.12.015

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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.