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A dual-functional microfluidic chip for guiding personalized lung cancer medicine: combining EGFR mutation detection and organoid-based drug response test

  • Kexin Zhang
  • , Jiyu Xi
  • , Huiting Zhao
  • , Yadong Wang
  • , Jianchao Xue
  • , Naixin Liang*
  • , Zewen Wei*
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Chinese Academy of Medical Sciences

Research output: Contribution to journalArticlepeer-review

Abstract

Many efforts have been paid to advance the effectiveness of personalized medicine for lung cancer patients. Sequencing-based molecular diagnosis of EGFR mutations has been widely used to guide the selection of anti-lung-cancer drugs. Organoid-based assays have also been developed to ex vivo test individual responses to anti-lung-cancer drugs. After addressing several technical difficulties, a new combined strategy, in which anti-cancer medicines are first selected based on molecular diagnosis and then ex vivo tested on organoids, has been realized in a single dual-functional microfluidic chip. A DNA-based nanoruler has been developed to detect the existence of EGFR mutations and shrink the detection period from weeks to hours, compared with sequencing. The employment of the DNA-based nanoruler creates a possibility to purposively test anti-cancer drugs, either EGFR-TKIs or chemotherapy drugs, not both, on limited amounts of organoids. Moreover, a DNA-based nanosensor has been developed to recognize intracellular ATP variation without harming cell viability, realizing in situ monitoring of the whole course growth status of organoids for on-chip drug response test. The dual-functional microfluidic chip was validated by both cell lines and clinical samples from lung cancer patients. Furthermore, based on the dual-functional microfluidic chip, a fully automated system has been developed to span the divide between experimental procedures and therapeutic approaches. This study constitutes a novel way of combining EGFR mutation detection and organoid-based drug response test on an individual patient for guiding personalized lung cancer medicine.

Original languageEnglish
Pages (from-to)1762-1774
Number of pages13
JournalLab on a Chip
Volume24
Issue number6
DOIs
Publication statusPublished - 14 Feb 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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