Evidence map›Paper›PMID 41986323›Full record

ArticleMicrosystems & nanoengineering2026

Functional drug screening of tumor organoids on an active-matrix digital microfluidic chip for cancer precision medicine.

Ruimeng Sun, Zhengyang Feng, Tong Wu, Fangqiu Ding, Yong Wu, Kai Jin, Li Li, Zhiqiang Jia, Ruoqian Gao, Yingge Cong and 5 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Ruimeng Sun *School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China.
Zhengyang Feng *Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Tong WuSchool of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China.
Fangqiu DingSchool of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China.
Yong WuGuangdong ACXEL Micro & Nano Tech Co., Ltd., Foshan, 528200, China.
Kai JinDepartment of Biomaterials and Stem Cells & CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, 215163, China.
Li LiDepartment of Biomaterials and Stem Cells & CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, 215163, China.
Zhiqiang JiaDepartment of Computer Science and Engineering, The Chinese University of Hong Kong, Hongkong, 999077, P. R. China.
Ruoqian GaoDepartment of Biomaterials and Stem Cells & CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, 215163, China.
Yingge CongDepartment of Biomaterials and Stem Cells & CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, 215163, China.
Tsung-Yi HoDepartment of Computer Science and Engineering, The Chinese University of Hong Kong, Hongkong, 999077, P. R. China.
Hanbin MaDepartment of Biomaterials and Stem Cells & CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, 215163, China.ORCID http://orcid.org/0000-0002-7629-2287
Siyi HuSchool of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China. husiyi@sibet.ac.cn.
Lixing ZhangSchool of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China. zhanglx@sibet.ac.cn.
Wenfei DongSchool of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China. wenfeidong@sibet.ac.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82172077,22201298,62027825
6 · The paper itself

Abstract

Cancer is a leading global cause of morbidity and mortality, with inter- and intra-tumor heterogeneity contributing to suboptimal therapeutic outcomes. While genomic profiling has advanced precision oncology, many tumors lack targetable mutations, underscoring the need for functional assays. Here, we present a drug sensitivity testing platform for patient-derived organoids (PDOs) based on active-matrix digital microfluidics (AM-DMF). The system comprises a microfluidic timing-control board (<50 ms switching precision), a temperature-regulation module (37 ± 0.3 °C) and an integrated imaging module for multiscale visualization. Droplet generation, transport, mixing, and dilution on the AM-DMF platform are programmably controlled via electrowetting-on-dielectric (EWOD) actuation, with volume stability from 1 to 100 nL per droplet (CV < 3%). A multilayer design of the AM-DMF chips suppressed crosstalk and leakage current, enabling stable operation over 10 h. PDO-loaded droplets were efficiently generated through symmetric "one-to-two" splitting, achieving >71% success within 4-5 tearing cycles. Evaluation of cisplatin cytotoxicity across multiple PDOs on AM-DMF chips revealed time- and dose-dependent responses, including early morphological contraction (12 h) and subsequent structural disintegration (72 h) at high concentrations. Live/dead staining confirmed membrane damage under high-dose treatment, reflected by increased red fluorescence. Quantitative analysis demonstrated consistent dose-dependent inhibition of viability across all PDOs. Notably, on-chip measurements showed response trends consistent with conventional 96-well plate assays, yet with moderately higher inhibition rates, indicating enhanced assay sensitivity. Overall, we have developed an automated, high-throughput drug-testing system for PDOs, wherein the entire workflow, including organoid culture, precise drug concentration gradient generation, multi-dose drug screening, staining, and imaging, was seamlessly integrated and performed on a single active-matrix digital microfluidics chip. Collectively, this integrated AM-DMF platform offers a systematic, scalable strategy for functional precision medicine, especially suited to scarce clinical specimens and complex multidrug regimens.

Identifiers

PMID41986323
PMCPMC13083936

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.