Evidence map›Paper›PMID 39400856›Full record

ReviewMedical & biological engineering & computing2025

Cancer-on-chip: a breakthrough organ-on-a-chip technology in cancer cell modeling.

Babak Nejati, Reza Shahhosseini, Mobasher Hajiabbasi, Nastaran Safavi Ardabili, Kosar Bagtashi Baktash, Vahid Alivirdiloo, Sadegh Moradi, Mohammadreza Farhadi Rad, Fatemeh Rahimi, Marzieh Ramezani Farani and 3 more

Abstract readReview
In one paragraph

Review in Medical & biological engineering & computing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

13 authors.

Babak NejatiLiver and Gastrointestinal Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Reza ShahhosseiniFaculty of Medicine, Istanbul Medipol University, Istanbul, Turkey.
Mobasher HajiabbasiIslamic Azad University of Tonekabon, Tonekabon, Iran.
Nastaran Safavi ArdabiliDepartment of Midwifery, Ardabil Branch, Islamic Azad University, Ardabil, Iran.
Kosar Bagtashi BaktashFaculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Vahid AlivirdilooRamsar Campus, Mazandaran University of Medical Sciences, Ramsar, Iran.
Sadegh MoradiDepartment of Immunology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Mohammadreza Farhadi RadFaculty of Medicine, Yazd University of Medical Sciences, Yazd, Iran.
Fatemeh RahimiDivision of Clinical Laboratory, Zahra Mardani Azar Children Training Research and Treatment Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Marzieh Ramezani FaraniFaculty of Allied Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Farhood GhaziFaculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Ahmad MobedDepartment of Community Medicine, Faculty of Medicine, Social Determinants of Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Iraj AlipourfardInstitute of Physical Chemistry, Polish Academy of Sciences, Marcina Kasprzaka 44/52, 01-224, Warsaw, Poland. ialipourfard@ichf.edu.pl.ORCID http://orcid.org/0000-0001-5164-8606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer remains one of the leading causes of death worldwide. The unclear molecular mechanisms and complex in vivo microenvironment of tumors make it difficult to clarify the nature of cancer and develop effective treatments. Therefore, the development of new methods to effectively treat cancer is urgently needed and of great importance. Organ-on-a-chip (OoC) systems could be the breakthrough technology sought by the pharmaceutical industry to address ever-increasing research and development costs. The past decade has seen significant advances in the spatial modeling of cancer therapeutics related to OoC technology, improving physiological exposition criteria. This article aims to summarize the latest achievements and research results of cancer cell treatment simulated in a 3D microenvironment using OoC technology. To this end, we will first discuss the OoC system in detail and then demonstrate the latest findings of the cancer cell treatment study by Ooc and how this technique can potentially optimize better modeling of the tumor. The prospects of OoC systems in the treatment of cancer cells and their advantages and limitations are also among the other points discussed in this study.

Indexed as

Lab-On-A-Chip DevicesModels, BiologicalNeoplasmsHumansMicrophysiological SystemsTumor Microenvironment2D/3D cultureBioprintingCancer cell modelingCancer on-chipMicrofluidicsOrgan-on-a-chip (OoC)Tumor microenvironment

Identifiers

PMID39400856
PMCPMC11750902

What Socratic holds

Textmetadata
LicenceCC BY
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.