Evidence map›Paper›PMID 42031701›Full record

ArticleMicrosystems & nanoengineering2026

High-fidelity bioassembly of organoids and spheroids using inertial droplet microfluidics for precision oncology and tumor microenvironment modeling.

Yuchen Li, Zemei Cao, Yibin Xu, Caiming Li, Shun Ye, Xiaolin Wu, Zerui Wang, Haipeng Chen, Hengchang Liu, Xiyue Hu 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuchen LiShandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.
Zemei CaoState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Yibin XuState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Caiming LiState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Shun YeState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-3457-9359
Xiaolin WuState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Zerui WangState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Haipeng ChenDepartment of Colorectal Surgery, National Cancer Center/National Clinical Research Center of Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hengchang LiuDepartment of Colorectal Surgery, National Cancer Center/National Clinical Research Center of Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiyue HuDepartment of Colorectal Surgery, National Cancer Center/National Clinical Research Center of Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Teng WangSichuan Anaerobic Biotechnology Co., Ltd., Chengdu, China.
Wanqiu ZengSichuan Anaerobic Biotechnology Co., Ltd., Chengdu, China.
Qiong WangSichuan Anaerobic Biotechnology Co., Ltd., Chengdu, China.
Lei GuoDLAB Scientific Co., Ltd., Beijing, China.
Wenbin DuState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China. wenbin@im.ac.cn.ORCID http://orcid.org/0000-0002-7401-1410

Funding

Chinese Academy of Sciences (CAS) XDB0810000Chinese Academy of Sciences (CAS) XDB1470000
6 · The paper itself

Abstract

The translation of 3D multicellular systems into clinical applications has been constrained by the need to balance physiological relevance and scalability. Current biofabrication methods primarily depend on passive cell aggregation or capillary- and viscosity-limited segmentation, resulting in stochastic heterogeneity that limits high-throughput screening (HTS). Here, we present OsciSphere, a chip-free droplet microfluidic platform that utilizes Weber-number-driven inertial forces to enable deterministic bioassembly of uniform 3D multicellular systems. Through programmable oscillatory acceleration, OsciSphere achieves precise, high-frequency droplet generation in standard well plates, eliminating the requirement for complex microfabrication. We demonstrate the versatility of this platform by generating miniaturized multicellular tumor spheroids (µMCTs) for drug screening, tissue-derived organoids (µTDOs) for pharmacological studies, and patient-derived organoids (µPDOs) that support tumor-immune co-cultures. In comparison to conventional Matrigel domes, OsciSphere-assembled 3D multicellular systems display improved uniformity, viability, and chemosensitivity. The platform's scalability enabled the screening of 49 commensal gut bacterial secretomes, leading to the identification of Eubacterium species that modulate cancer apoptotic pathways. Furthermore, µPDOs generated with OsciSphere support efficient infiltration of autologous PBMCs, enabling quantitative assessment of PD-1 blockade. This platform provides a robust, accessible approach to bridging the gap between complex tissue modeling and large-scale functional screening in precision oncology.

Identifiers

PMID42031701
PMCPMC13109402

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.