Evidence map›Paper›PMID 28287578›Full record

ArticleJournal of visualized experiments : JoVE2017

Modeling Ovarian Cancer Multicellular Spheroid Behavior in a Dynamic 3D Peritoneal Microdevice.

Shan-Shan Li, Carman K M Ip, Matthew Y H Tang, Samuel K H Sy, Susan Yung, Tak-Mao Chan, Mengsu Yang, Ho Cheung Shum, Alice S T Wong

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 24% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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  11. Assessing the growth kinetics and stoichiometry ofEngineering in life sciences · 2023
    Article
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  13. NovelFrontiers in oncology · 2022
    Review
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  18. Bioengineering models of female reproduction.Bio-design and manufacturing · 2020
    Article
  19. Engineered reproductive tissues.Nature biomedical engineering · 2020
    Review
  20. Article
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

9 authors at 2 institutions in 2 countries.

Shan-Shan LiSchool of Biological Sciences, University of Hong Kong.
Carman K M IpSchool of Biological Sciences, University of Hong Kong.
Matthew Y H TangDepartment of Mechanical Engineering, University of Hong Kong.
Samuel K H SyDepartment of Mechanical Engineering, University of Hong Kong.
Susan YungDepartment of Medicine, University of Hong Kong.
Tak-Mao ChanDepartment of Medicine, University of Hong Kong.
Mengsu YangDepartment of Biomedical Sciences, Key Laboratory of Biochip Technology, Biotech and Health Centre, Shenzhen Research Institutes of City University of Hong Kong.
Ho Cheung ShumDepartment of Mechanical Engineering, University of Hong Kong; ashum@hku.hk.
Alice S T WongSchool of Biological Sciences, University of Hong Kong; awong1@hku.hk.
University of Hong Kong · HKCity University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is characterized by extensive peritoneal metastasis, with tumor spheres commonly found in the malignant ascites. This is associated with poor clinical outcomes and currently lacks effective treatment. Both the three-dimensional (3D) environment and the dynamic mechanical forces are very important factors in this metastatic cascade. However, traditional cell cultures fail to recapitulate this natural tumor microenvironment. Thus, in vivo-like models that can emulate the intraperitoneal environment are of obvious importance. In this study, a new microfluidic platform of the peritoneum was set up to mimic the situation of ovarian cancer spheroids in the peritoneal cavity during metastasis. Ovarian cancer spheroids generated under a non-adherent condition were cultured in microfluidic channels coated with peritoneal mesothelial cells subjected to physiologically relevant shear stress. In summary, this dynamic 3D ovarian cancer-mesothelium microfluidic platform can provide new knowledge on basic cancer biology and serve as a platform for potential drug screening and development.

Indexed as

Cell Line, TumorDisease ProgressionEpitheliumFemaleHumansMicrofluidic Analytical TechniquesModels, BiologicalNeoplasm MetastasisOvarian NeoplasmsPeritoneal CavityPeritoneal NeoplasmsSpheroids, CellularTumor Microenvironment

Identifiers

PMID28287578
PMCPMC5409276
OpenAlexW2591274026

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.