Dual-Function Microfluidic Chip for Identification and Drug Response Testing of Lung Cancer Organoids

Jiyu Xi, Zewen Wei*, Xin Wu, Kexin Zhang, Huiting Zhao, Yu Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Organoids, as a novel in vitro drug screening platform, have received widespread attention due to their relevance to clinical research as they are derived from patient samples. Lung cancer organoids are categorized into two subtypes: EGFR mutation type and EGFR wild type. EGFR mutation lung cancer organoids exhibit better therapeutic effects with tyrosine kinase inhibitors (TKIs), whereas EGFR wild type lung cancer organoids have better responses to chemotherapy drugs. However, the current lack of a microfluidic chip capable of identifying EGFR mutations in lung cancer organoids and testing their drug response poses a challenge. To address this, we have developed a dual-functional chip that streamlines EGFR mutation identification and drug testing in lung cancer organoids. This method not only reduces time and cost but also enhances drug screening efficiency.

Original languageEnglish
Title of host publicationFuzzy Systems and Data Mining IX - Proceedings of FSDM 2023
EditorsAntonio J. Tallon-Ballesteros, Raquel Beltran-Barba
PublisherIOS Press BV
Pages925-930
Number of pages6
ISBN (Electronic)9781643684703
DOIs
Publication statusPublished - 12 Dec 2023
Event9th International Conference on Fuzzy Systems and Data Mining, FSDM 2023 - Hybrid, Chongqing, China
Duration: 10 Nov 202313 Nov 2023

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume378
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference9th International Conference on Fuzzy Systems and Data Mining, FSDM 2023
Country/TerritoryChina
CityHybrid, Chongqing
Period10/11/2313/11/23

Keywords

  • drug response
  • microfluidic chip
  • organoids

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Xi, J., Wei, Z., Wu, X., Zhang, K., Zhao, H., & Zhang, Y. (2023). Dual-Function Microfluidic Chip for Identification and Drug Response Testing of Lung Cancer Organoids. In A. J. Tallon-Ballesteros, & R. Beltran-Barba (Eds.), Fuzzy Systems and Data Mining IX - Proceedings of FSDM 2023 (pp. 925-930). (Frontiers in Artificial Intelligence and Applications; Vol. 378). IOS Press BV. https://doi.org/10.3233/FAIA231106