Insider information: Testing cancer drug sensitivity for personalized therapy

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...

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Detalles Bibliográficos
Autores principales: Wang, Jing, Wei, Qiang, Ye, Jixing, Denduluri, Sahitya K., Wang, Xin, Mohammed, Maryam K., Luu, Hue H., Haydon, Rex C., He, Tong-Chuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chongqing Medical University 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610196/
https://www.ncbi.nlm.nih.gov/pubmed/26491709
http://dx.doi.org/10.1016/j.gendis.2015.05.004
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author Wang, Jing
Wei, Qiang
Ye, Jixing
Denduluri, Sahitya K.
Wang, Xin
Mohammed, Maryam K.
Luu, Hue H.
Haydon, Rex C.
He, Tong-Chuan
author_facet Wang, Jing
Wei, Qiang
Ye, Jixing
Denduluri, Sahitya K.
Wang, Xin
Mohammed, Maryam K.
Luu, Hue H.
Haydon, Rex C.
He, Tong-Chuan
author_sort Wang, Jing
collection PubMed
description 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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spelling pubmed-46101962015-10-19 Insider information: Testing cancer drug sensitivity for personalized therapy Wang, Jing Wei, Qiang Ye, Jixing Denduluri, Sahitya K. Wang, Xin Mohammed, Maryam K. Luu, Hue H. Haydon, Rex C. He, Tong-Chuan Genes Dis 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. Chongqing Medical University 2015-06-04 /pmc/articles/PMC4610196/ /pubmed/26491709 http://dx.doi.org/10.1016/j.gendis.2015.05.004 Text en Copyright © 2015, Chongqing Medical University. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Wang, Jing
Wei, Qiang
Ye, Jixing
Denduluri, Sahitya K.
Wang, Xin
Mohammed, Maryam K.
Luu, Hue H.
Haydon, Rex C.
He, Tong-Chuan
Insider information: Testing cancer drug sensitivity for personalized therapy
title Insider information: Testing cancer drug sensitivity for personalized therapy
title_full Insider information: Testing cancer drug sensitivity for personalized therapy
title_fullStr Insider information: Testing cancer drug sensitivity for personalized therapy
title_full_unstemmed Insider information: Testing cancer drug sensitivity for personalized therapy
title_short Insider information: Testing cancer drug sensitivity for personalized therapy
title_sort insider information: testing cancer drug sensitivity for personalized therapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610196/
https://www.ncbi.nlm.nih.gov/pubmed/26491709
http://dx.doi.org/10.1016/j.gendis.2015.05.004
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