Lung Cancer Cell–Macrophage Interaction System for Signal Pathway-Based Logic Analysis and Drug Testing

Deciphering and analyzing the signaling pathways formed by multiple molecules during intercellular interactions is crucial for understanding cancer mechanisms and developing anticancer drugs. Currently, most methods for tumor research mainly focus on discrete biomolecules while overlooking the molecular logical relationships based on signal pathways. Here, we present a microfluidic chip-based electrochemical logic analysis (μELA) system that integrates a lung cancer chip, a macrophage chip, a logic gate chip, and an electrochemical (EC) sensing chip. The integrated system allows for the analysis of the logical relationship between miR-21 and miR-29a secreted by lung cancer cells and interleukin-6 (IL-6) secreted by macrophages, as well as the on-chip visualization of the activated NF-κB signaling pathway in the interaction between lung cancer cells and macrophages. In addition, drug testing based on the μELA system verifies that inhibitor combinations targeting lung cancer cell-macrophage interactions are more effective in inducing cell apoptosis than inhibitors that only act on lung cancer cells. This μELA system enables in situ cell culturing, biomarker sensing, automated logic analysis, and signaling pathway-based drug testing. We believe that this innovative and integrated microfluidic system holds great potential for studying cancer mechanisms and drug discovery.

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Publication Details

Journal
ACS Nano
Published
2026-01-16
DOI
https://doi.org/10.1021/acsnano.5c18240
Primary Topic
3D Printing in Biomedical Research
Type
article
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article

Lung Cancer Cell–Macrophage Interaction System for Signal Pathway-Based Logic Analysis and Drug Testing

Yidan Gao, Yan Xu, Long Chen, Yijun Cao et al.
ACS Nano
3D Printing in Biomedical Research
article

Lung Cancer Cell–Macrophage Interaction System for Signal Pathway-Based Logic Analysis and Drug Testing

Yidan Gao, Yan Xu, Long Chen, Yijun Cao, D. Ma, Mei Tian, Chang Chen, Dongchen Zhu, Xianqiang Mi, Yaojun Wang
article en

Abstract

Deciphering and analyzing the signaling pathways formed by multiple molecules during intercellular interactions is crucial for understanding cancer mechanisms and developing anticancer drugs. Currently, most methods for tumor research mainly focus on discrete biomolecules while overlooking the molecular logical relationships based on signal pathways. Here, we present a microfluidic chip-based electrochemical logic analysis (μELA) system that integrates a lung cancer chip, a macrophage chip, a logic gate chip, and an electrochemical (EC) sensing chip. The integrated system allows for the analysis of the logical relationship between miR-21 and miR-29a secreted by lung cancer cells and interleukin-6 (IL-6) secreted by macrophages, as well as the on-chip visualization of the activated NF-κB signaling pathway in the interaction between lung cancer cells and macrophages. In addition, drug testing based on the μELA system verifies that inhibitor combinations targeting lung cancer cell-macrophage interactions are more effective in inducing cell apoptosis than inhibitors that only act on lung cancer cells. This μELA system enables in situ cell culturing, biomarker sensing, automated logic analysis, and signaling pathway-based drug testing. We believe that this innovative and integrated microfluidic system holds great potential for studying cancer mechanisms and drug discovery.

ACS NanoVol. 20(4)
Tulane University (US), Shanghai Jiao Tong University (CN), Chinese Academy of Sciences (CN), Fudan University (CN), Ruijin Hospital (CN), Institute for Advanced Study (DE), Shanghai Institute of Microsystem and Information Technology (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 86%
3D Printing in Biomedical Research
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