Evidence map›Paper›PMID 42427800›Full record

ArticleResearch (Washington, D.C.)2026

Encapsulated Primary Human Ovarian Cancer Cells on Chips for Chemotherapy Drug Evaluation.

Qi Yang, Rui Liu, Bin Kong, Yuyang Zhang, Miaoqing Zhao, Yunlang Cai

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 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

6 authors.

Qi YangDepartment of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.ORCID https://orcid.org/0009-0004-7034-6450
Rui LiuDepartment of Rheumatology and Immunology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China.
Bin KongDepartment of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen, Guangdong 518000, China.ORCID https://orcid.org/0000-0001-7842-0169
Yuyang ZhangDepartment of Gynecology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Miaoqing ZhaoDepartment of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China.
Yunlang CaiDepartment of Obstetrics and Gynecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Establishing physiologically relevant in vitro tumor models is critical for accurately evaluating chemotherapeutic efficacy in ovarian cancer. However, generating high-throughput, uniform, and viable tumor spheroids from primary patient cells remains a major challenge for personalized drug screening. Here, we present an integrated platform that couples hydrogel microencapsulation with organ-on-a-chip culture to achieve biomimetic 3-dimensional tumor growth and dynamic drug assessment. Core-shell hydrogel microcapsules, consisting of a carboxymethyl cellulose core and an alginate shell, create a biocompatible and tunable microenvironment that maintains cell viability, preserves molecular and phenotypic heterogeneity, and enables reproducible spheroid formation. Embedding these spheroids into a microfluidic chip with continuous, precisely regulated drug gradients and perfusion culture facilitates high-resolution, high-throughput evaluation of chemotherapeutic responses. Using this system, clinically relevant agents-including carboplatin, paclitaxel, docetaxel, and pegylated liposomal doxorubicin-were systematically screened, revealing patient-specific variations in drug sensitivity that closely aligned with postoperative clinical outcomes. By integrating hydrogel-based 3-dimensional culture with microscale gradient control, this approach provides a stable, physiologically meaningful, and scalable platform for preclinical pharmacological testing. Collectively, the findings demonstrate its potential as an effective tool for individualized chemotherapy evaluation and precision treatment development in ovarian cancer.

Identifiers

PMID42427800
PMCPMC13346662

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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.