Literature DB >> 30239130

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

Zhixiong Zhang1, Yu-Chih Chen1,2, Sumithra Urs3, Lili Chen1, Diane M Simeone3, Euisik Yoon1,4.   

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.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  3D spheroid; drug combination; high-throughput drug screening; microfluidics; precision medicine

Mesh:

Year:  2018        PMID: 30239130     DOI: 10.1002/smll.201703617

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   13.281


  6 in total

Review 1.  The impact of microfluidics in high-throughput drug-screening applications.

Authors:  Paola De Stefano; Elena Bianchi; Gabriele Dubini
Journal:  Biomicrofluidics       Date:  2022-05-26       Impact factor: 3.258

2.  Early Prediction of Single-Cell Derived Sphere Formation Rate Using Convolutional Neural Network Image Analysis.

Authors:  Yu-Chih Chen; Zhixiong Zhang; Euisik Yoon
Journal:  Anal Chem       Date:  2020-05-19       Impact factor: 8.008

3.  Concentration Gradient Constructions Using Inertial Microfluidics for Studying Tumor Cell-Drug Interactions.

Authors:  Shaofei Shen; Fangjuan Zhang; Mengqi Gao; Yanbing Niu
Journal:  Micromachines (Basel)       Date:  2020-05-12       Impact factor: 2.891

Review 4.  Challenges of applying multicellular tumor spheroids in preclinical phase.

Authors:  Se Jik Han; Sangwoo Kwon; Kyung Sook Kim
Journal:  Cancer Cell Int       Date:  2021-03-04       Impact factor: 5.722

5.  Modulating the Distant Spreading of Patient-Derived Colorectal Cancer Cells via Aspirin and Metformin.

Authors:  Gemma Palazzolo; Hilaria Mollica; Valeria Lusi; Mariangela Rutigliani; Martina Di Francesco; Rui Cruz Pereira; Marco Filauro; Laura Paleari; Andrea DeCensi; Paolo Decuzzi
Journal:  Transl Oncol       Date:  2020-04-01       Impact factor: 4.243

Review 6.  [Research advances of high-throughput cell-based drug screening systems based on microfluidic technique].

Authors:  Yixiao Liang; Jianzhang Pan; Qun Fang
Journal:  Se Pu       Date:  2021-06
  6 in total

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