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Cell Proliferation Receptor-Enhanced 3D High-Throughput Screening Model for Optimized Drug Efficacy Evaluation in Breast Cancer Cells
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    Article

    Cell Proliferation Receptor-Enhanced 3D High-Throughput Screening Model for Optimized Drug Efficacy Evaluation in Breast Cancer Cells
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    • Sang-Yun Lee
      Sang-Yun Lee
      Department of Biomedical Engineering, Gachon University, Seongnam 13120, Republic of Korea
      More by Sang-Yun Lee
    • Hyun Ju Hwang
      Hyun Ju Hwang
      Central R & D Center, Medical & Bio Decision (MBD) Co., Ltd, Suwon 16229, Republic of Korea
    • Bosung Ku
      Bosung Ku
      Central R & D Center, Medical & Bio Decision (MBD) Co., Ltd, Suwon 16229, Republic of Korea
      More by Bosung Ku
    • Dong Woo Lee*
      Dong Woo Lee
      Department of Biomedical Engineering, Gachon University, Seongnam 13120, Republic of Korea
      Central R & D Center, Medical & Bio Decision (MBD) Co., Ltd, Suwon 16229, Republic of Korea
      *Email: [email protected]
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    Analytical Chemistry

    Cite this: Anal. Chem. 2022, 94, 34, 11838–11847
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.analchem.2c02222
    Published August 17, 2022
    Copyright © 2022 American Chemical Society

    Abstract

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    A higher correlation of epidermal growth factor receptor (EGFR)-targeting drugs has been reported with the use of the cell proliferation receptor-enhanced three-dimensional high-throughput screening model (CPRE 3D-HTS model) compared with two-dimensional (2D) cell-based HTS. A greater expression of differential human EGFR 2 (HER2) protein between HER2-positive and HER2-negative cell lines was observed in breast cancer (BC) cell lines cultured using the CPRE 3D-HTS model compared with 2D-cultured cells. When using 2D-cultured cells, properties such as the expression of the cell proliferation receptor are lost as the cells attach to the bottom of the well plate. In an effort to solve this problem, the CPRE 3D-HTS model expressing high cell proliferation receptors was optimized by the selection of alginate as the extracellular matrix. Results from the use of the CPRE 3D-HTS model showed higher drug resistance with increased expression of drug resistance-related proteins. Of particular interest, a higher correlation of HER2-targeted drugs was observed with the use of the CPRE 3D-HTS model. In order to validate this higher correlation of target drugs observed in the CPRE 3D-HTS model, the results of Western blot analysis and high content imaging analysis were analyzed, which confirmed that 3D-cultured BC cell lines showed a greater difference in the expression of HER2-positive and HER2-negative BC cell lines than 2D-cultured cells. Thus, the use of CPRE 3D-HTS using a 384-pillar plate resulted in increased accuracy when screening HER2-targeted drugs in BC, and it is a very useful platform for analyzing the efficacy of targeted drugs by enhancing the expression of HER2.

    Copyright © 2022 American Chemical Society

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    Supporting Information

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.analchem.2c02222.

    • Western blot analysis of differences in cancer cell proliferation-related proteins; HCI analysis of the difference in p-HER2 protein expression by the BC cell culture model; experimental protocol of cell preparation; experimental protocol of statistical analysis; experimental protocol of Western blot analysis; experimental protocol of HCI analysis; subtypes and molecular status of BC cell lines; summary of drug response; summary of drug combinations in drug-to-drug correlation analysis in 3D-cultured HER2-positive cell lines; and summary of strong drug-to-drug relationships with a p-value of 0.01 or less in 3D-cultured BC cells (PDF)

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    Cited By

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    This article is cited by 2 publications.

    1. Wenzhu Fu, Meilin Sun, Jinwei Zhang, Tingting Xuanyuan, Xufang Liu, Yujie Zhou, Wenming Liu. Combinatorial Drug Screening Based on Massive 3D Tumor Cultures Using Micropatterned Array Chips. Analytical Chemistry 2023, 95 (4) , 2504-2512. https://doi.org/10.1021/acs.analchem.2c04816
    2. Gillian Huskin, Jun Chen, Trenton Davis, Ho-Wook Jun. Tissue-Engineered 3D In Vitro Disease Models for High-Throughput Drug Screening. Tissue Engineering and Regenerative Medicine 2023, 134 https://doi.org/10.1007/s13770-023-00522-3

    Analytical Chemistry

    Cite this: Anal. Chem. 2022, 94, 34, 11838–11847
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.analchem.2c02222
    Published August 17, 2022
    Copyright © 2022 American Chemical Society

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