Computational Modeling of ERBB2 -Amplified Breast Cancer Identifies Combined ErbB2/3 Blockade as Superior to the Combination of MEK and AKT Inhibitors-Reference-Cited by-同舟云学术

Computational Modeling of ERBB2 -Amplified Breast Cancer Identifies Combined ErbB2/3 Blockade as Superior to the Combination of MEK and AKT Inhibitors

Published:2013-08-13 Issue:288 Volume:6 Page:
ISSN:1945-0877
Container-title:Science Signaling
language:en
Short-container-title:Sci. Signal.

Author:

Kirouac Daniel C.¹,Du Jin Y.¹,Lahdenranta Johanna¹,Overland Ryan¹,Yarar Defne¹,Paragas Violette¹,Pace Emily¹,McDonagh Charlotte F.¹,Nielsen Ulrik B.¹,Onsum Matthew D.¹²

Affiliation:

1. Merrimack Pharmaceuticals Inc., 1 Kendall Square, Suite B7201, Cambridge, MA 02139, USA.

2. Silver Creek Pharmaceuticals, 409 Illinois Street, San Francisco, CA 94158, USA.

Abstract

Computational modeling of signaling feedback in ErbB2-positive breast cancer predicts improved combination therapies.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Cell Biology,Molecular Biology,Biochemistry

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