Evidence map›Paper›PMID 21298805›Full record

ArticleBiotechnology journal2011

A three-dimensional in vitro ovarian cancer coculture model using a high-throughput cell patterning platform.

Feng Xu, Jonathan Celli, Imran Rizvi, Sangjun Moon, Tayyaba Hasan, Utkan Demirci

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biotechnology journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.

0numbers the graph read from it
0cells of the map it votes in
122citing 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

122 citing papers in PubMed.

  1. Biomimetic Scaffold-Based 3D Models for Decoding Cancer Biology and Advancing Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  5. Article
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  11. Droplet-based bioprinting.Nature reviews. Methods primers · 2025
    Article
  12. Review
  13. Targeted Cancer Therapy-on-A-Chip.Advanced healthcare materials · 2024
    Review
  14. Review
  15. Review
  16. Review
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  19. Progress in bioprinting technology for tissue regeneration.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2023
    Review
  20. Review

62 more citing papers are in PubMed but not listed here.

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.

Feng Xu *Demirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Center for Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Jonathan Celli *Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Imran RizviWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Sangjun MoonDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Center for Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Tayyaba HasanWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Utkan DemirciDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Center for Biomedical Engineering, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

Funding

Small Molecule Enhancers of Photodynamic Therapy for Skin CancerP01CA084203 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Brian William Pogue · 2001 to 2026
$27.9M
Photodestruction of Ovarian Cancer: ErbB3 Targeted Aptamer Nanoparticle ConjugateR01CA119388 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HASAN, TAYYABA · 2005 to 2009
$2.6M
Droplet Based Microfluidic Chip for CryopreservationR21EB007707 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMIRCI, UTKAN · 2008 to 2009
$478k
NCI NIH HHS 5R01CA119388-03NCI NIH HHS P01 CA084203NCI NIH HHS P01CA084203-06NCI NIH HHS R01 CA119388NIBIB NIH HHS R21 EB007707
6 · The paper itself

Abstract

In vitro 3D cancer models that provide a more accurate representation of disease in vivo are urgently needed to improve our understanding of cancer pathology and to develop better cancer therapies. However, development of 3D models that are based on manual ejection of cells from micropipettes suffer from inherent limitations such as poor control over cell density, limited repeatability, low throughput, and, in the case of coculture models, lack of reproducible control over spatial distance between cell types (e.g., cancer and stromal cells). In this study, we build on a recently introduced 3D model in which human ovarian cancer (OVCAR-5) cells overlaid on Matrigel™ spontaneously form multicellular acini. We introduce a high-throughput automated cell printing system to bioprint a 3D coculture model using cancer cells and normal fi broblasts micropatterned on Matrigel™ . Two cell types were patterned within a spatially controlled microenvironment (e.g., cell density, cell-cell distance) in a high-throughput and reproducible manner; both cell types remained viable during printing and continued to proliferate following patterning. This approach enables the miniaturization of an established macro-scale 3D culture model and would allow systematic investigation into the multiple unknown regulatory feedback mechanisms between tumor and stromal cells and provide a tool for high-throughput drug screening.

Indexed as

Cell Culture TechniquesCell Line, TumorCell SurvivalFemaleHumansMicroscopyOvarian Neoplasms

Identifiers

PMID21298805
PMCPMC3780785

What OpenQuestion holds

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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 OpenQuestion graph.