Evidence map›Paper›PMID 42496939›Full record

ReviewAnnals of biomedical engineering2026

The Application of 3D Cell Culture in Thyroid Cancer.

Hankang Jiang, Danni Zhou, Zehuan Li, Hongde Jiang, Guizhi Zhu, Kailei Xu, Jie Sun

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of biomedical engineering, 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

7 authors.

Hankang Jiang *School of Medicine, Ningbo University, Ningbo, 315211, China.
Danni Zhou *School of Medicine, Ningbo University, Ningbo, 315211, China.
Zehuan LiSmart Medicine and Engineering Interdisciplinary Innovation Center, Ningbo University, Ningbo, 315211, China.
Hongde JiangSchool of Medicine, Ningbo University, Ningbo, 315211, China.
Guizhi ZhuSchool of Medicine, Ningbo University, Ningbo, 315211, China.
Kailei XuCenter for Medical and Engineering Innovation, Central Laboratory, The First Affiliated Hospital of Ningbo University, Ningbo, 315010, Zhejiang, China. xukailei@zju.edu.cn.ORCID http://orcid.org/0000-0001-7319-0034
Jie SunDepartment of Neurosurgery, Ningbo Key Laboratory of Nervous System and Brain Function, The First Affiliated Hospital of Ningbo University, Ningbo, 315010, Zhejiang, China. fyysunjie@nbu.edu.cn.

Funding

Ningbo Major Research and Development Program 2024Z208
6 · The paper itself

Abstract

Thyroid cancer is the most prevalent endocrine malignancy and displays pronounced heterogeneity in histology, molecular alterations, and therapeutic responses, particularly in poorly differentiated, anaplastic, and radioiodine-refractory disease. Conventional two-dimensional cultures and animal models inadequately recapitulate the three-dimensional (3D) architecture, tumor microenvironment, and thyroid-specific functions, limiting their translational relevance. Recent advances in 3D culture technologies, especially organoid models, have provided physiologically relevant platforms for in vitro thyroid cancer research. This review summarizes current strategies for constructing thyroid cancer 3D models, with emphasis on spheroid and organoid systems, encompassing scaffold-free, scaffold-based cultures, and emerging bioengineering platforms such as dynamic bioreactors, decellularized extracellular matrices, microfluidic organ-on-a-chip systems, and 3D bioprinting. We further highlight key applications of thyroid cancer organoids in disease modeling, drug screening, radioiodine response prediction, and personalized therapeutic evaluation and discuss remaining challenges and future directions toward improved standardization and clinical translation. Compared with previous reviews on thyroid 3D culture, this work provides a more integrated and updated perspective by systematically linking culture strategies with tumor microenvironmental complexity, functional thyroid phenotypes, and emerging translational platforms, thereby offering a comprehensive framework for next-generation thyroid cancer modeling.

Indexed as

3D cultureExtracellular matrix (ECM)Multicellular spheroids (MCS)OrganoidsPreclinical modelsScaffoldsThyroid cancer

Identifiers

What Socratic holds

Textmetadata
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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.