Volume 14, Issue 42 1703617
Full Paper

Scalable Multiplexed Drug-Combination Screening Platforms Using 3D Microtumor Model for Precision Medicine

Zhixiong Zhang

Zhixiong Zhang

Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI, 48109-2122 USA

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Yu-Chih Chen

Yu-Chih Chen

Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI, 48109-2122 USA

University of Michigan Comprehensive Cancer Center, 1500 E. Medical Center Drive, Ann Arbor, MI, 48109 USA

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Sumithra Urs

Sumithra Urs

University of Michigan Health System, Ann Arbor, MI, 48109 USA

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Lili Chen

Lili Chen

Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI, 48109-2122 USA

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Diane M. Simeone

Diane M. Simeone

University of Michigan Health System, Ann Arbor, MI, 48109 USA

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Euisik Yoon

Corresponding Author

Euisik Yoon

Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI, 48109-2122 USA

Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109 USA

E-mail: [email protected]Search for more papers by this author
First published: 21 September 2018
Citations: 45

Abstract

Cancer heterogeneity is a notorious hallmark of this disease, and it is desirable to tailor effective treatments for each individual patient. Drug combinations have been widely accepted in cancer treatment for better therapeutic efficacy as compared to a single compound. However, experimental complexity and cost grow exponentially with more target compounds under investigation. The primary challenge remains to efficiently perform a large-scale drug combination screening using a small number of patient primary samples for testing. Here, a scalable, easy-to-use, high-throughput drug combination screening scheme is reported, which has the potential of screening all possible pairwise drug combinations for arbitrary number of drugs with multiple logarithmic mixing ratios. A “Christmas tree mixer” structure is introduced to generate a logarithmic concentration mixing ratio between drug pairs, providing a large drug concentration range for screening. A three-layer structure design and special inlets arrangement facilitate simple drug loading process. As a proof of concept, an 8-drug combination chip is implemented, which is capable of screening 172 different treatment conditions over 1032 3D cancer spheroids on a single chip. Using both cancer cell lines and patient-derived cancer cells, effective drug combination screening is demonstrated for precision medicine.

Conflict of Interest

The authors declare no conflict of interest.

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