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Genes & Diseases 2015, 2(3): 219-221 https://doi.org/10.1016/j.gendis.2015.05.004
Commentary | Open Access | Issue | Published: 04 June 2015

Insider information: Testing cancer drug sensitivity for personalized therapy

Show Author's Information Jing Wang,  Qiang Wei,  Jixing Ye,  Sahitya K. Denduluri,  Xin Wang,  Maryam K. Mohammed,  Hue H. Luu,  Rex C. Haydon,  Tong-Chuan He,( )
Molecular Oncology Laboratory, Department of Orthopaedic Surgery and Rehabilitation Medicine, The University of Chicago Medical Center, Chicago, IL 60637, USA

Peer review under responsibility of Chongqing Medical University.

Keywords:
Drug discovery, Personalized medicine, Drug resistance, Cancer, Chemotherapy, Drug screening
Cite this article:
Wang J, Wei Q, Ye J, et al. Insider information: Testing cancer drug sensitivity for personalized therapy. Genes & Diseases, 2015, 2(3): 219-221. https://doi.org/10.1016/j.gendis.2015.05.004
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Abstract About this article

Cancer death is usually caused by incurable drug-resistant and metastatic cancers. Although tremendous progress has been made in anticancer drug development during the past two decades, cancer medicine still faces unprecedented challenges associated with choosing effective treatments for individual patients. Three recent reports have offered encouraging approaches towards potentially personalized cancer drug selection.

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Publication history

Received: 15 May 2015
Published: 04 June 2015
Issue date: September 2015

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© 2015, Chongqing Medical University.

Acknowledgements

The authors’ laboratories were supported in part by research grants from the National Institutes of Health (AT004418, AR50142, AR054381 to TCH, RCH and HHL), and the 973 Program of the Ministry of Science and Technology (MOST) of China (#2011CB707900 to TCH). XW was a recipient of a visiting scholarship from the China Scholarship Council. SKD was a recipient of the Pritzker Fellowship and an AOA Carolyn L. Kuckein Fellowship. MKM was a recipient of the Howard Hughes Medical Institute Medical Research Fellowship.

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This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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