Evidence map›Paper›PMID 40671128›Full record

ReviewJournal of translational medicine2025

Innovative organ-on-a-chip platforms for exploring tumorigenesis and therapy in head and neck cancer.

Chen Lin, Zilin Zhang, Feili Yang, Shanshan Gu, Jiyang Zuo, Yi Wu, Jing Zhang, Tiantian Zhou, Yuna Zhang, Zaozao Chen and 2 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Organoids for disease modeling and treatment: state-of-the-art.Experimental hematology & oncology · 2026
    Review
  6. Review
  7. Review
  8. Article
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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

12 authors.

Chen Lin *Department of Otolaryngology-Head and Neck Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, 315040, Zhejiang, China.
Zilin Zhang *State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, SiPaiLou #2, Nanjing, 210096, China.
Feili Yang *Avatarget Co. Laboratory of Organs-on-a-Chip research, Suzhou, 215011, Jiangsu, China.
Shanshan GuDepartment of Otolaryngology-Head and Neck Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, 315040, Zhejiang, China.
Jiyang ZuoDepartment of Otolaryngology-Head and Neck Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, 315040, Zhejiang, China.
Yi WuDepartment of Otolaryngology-Head and Neck Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, 315040, Zhejiang, China.
Jing ZhangAvatarget Co. Laboratory of Organs-on-a-Chip research, Suzhou, 215011, Jiangsu, China.
Tiantian ZhouAvatarget Co. Laboratory of Organs-on-a-Chip research, Suzhou, 215011, Jiangsu, China.
Yuna ZhangDepartment of Otolaryngology-Head and Neck Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, 315040, Zhejiang, China.
Zaozao ChenState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, SiPaiLou #2, Nanjing, 210096, China. zaozaochen@seu.edu.cn.
Zhongze GuState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, SiPaiLou #2, Nanjing, 210096, China. gu@seu.edu.cn.
Zhisen ShenDepartment of Otolaryngology-Head and Neck Surgery, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, 315040, Zhejiang, China. szs7216@163.com.

Funding

Key R&D Program of Guangxi Province Grant No.2023AB08121Medical and Health Research Project of Zhejiang Province 2025KY221Medical and Health Research Project of Zhejiang Province 2025KY222National Natural Science Foundation of China Grant No.82341032Ningbo Clinical Research Center for Otolaryngology Head and Neck Disease No. 2022L005Ningbo Public Welfare Research Program Project 2023S078Ningbo Top Medical and Health Research Program No. 2023030514Science and Technology Project of Jiangsu Province GrantNo.BK2024001144
6 · The paper itself

Abstract

backgroundHead and neck cancer (HNC) presents significant research challenges due to the complexity of its tumor microenvironment (TME) and the heterogeneity across different cancer subtypes. Recent advancements in three-dimensional (3D) culture models and organ-on-a-chip (OOC) technology offer new avenues for mimicking the TME and enhancing the study of tumor biology, drug responses, and personalized treatment strategies. This study aims to summarize the current state of these models in HNC research and their potential in bridging the gap between preclinical models and clinical applications.

methodsThis review synthesizes findings from recent literature on the use of 3D models such as tumor spheroids, organoids, and co-culture systems in HNC research. A focus is placed on their applications in different cancer types, including laryngeal, oral, and nasopharyngeal cancers. Additionally, the integration of OOC technology in studying cancer metastasis, immunotherapy, and radiotherapy is discussed. Relevant studies on the role of AI and robotics in improving model efficiency and scalability are also examined.

resultsThe review identifies key developments in 3D model systems and OOC technologies, highlighting their ability to replicate patient-specific tumor behaviors and predict therapeutic responses. While these models have advanced the understanding of HNC pathophysiology, challenges remain in terms of technical limitations, validation, and physiological relevance. The integration of AI and robotics has shown promise in enhancing the scalability and data analysis capabilities of these models.

conclusionsAdvancements in 3D and OOC technologies are essential for overcoming the current limitations in HNC research. These models offer valuable insights into tumor biology and therapeutic efficacy, and their integration with artificial intelligence (AI) can further accelerate the development of personalized treatment strategies. However, further validation and refinement are needed before these models can be widely translated into clinical practice, offering a more effective and individualized approach to treating HNC.

Indexed as

CarcinogenesisHead and Neck NeoplasmsLab-On-A-Chip DevicesAnimalsHumansMicrophysiological SystemsOrganoidsSpheroids, CellularTumor MicroenvironmentHead and neck Cancer (HNC)Organ-on-a-Chip (OOC)Personalized medicineThree-Dimensional models (3D)Tumor microenvironment (TME)

Identifiers

PMID40671128
PMCPMC12269115

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.