Evidence map›Paper›PMID 25913133›Full record

ArticleGynecologic oncology2015

Formation of stable small cell number three-dimensional ovarian cancer spheroids using hanging drop arrays for preclinical drug sensitivity assays.

Shreya Raghavan, Maria R Ward, Katelyn R Rowley, Rachel M Wold, Shuichi Takayama, Ronald J Buckanovich, Geeta Mehta

Open access · greenAbstract read
In one paragraph

Article in Gynecologic oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

71 citing papers in PubMed, 139 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Principles of Hanging Drop Method (Spheroid Formation) in Cell Culture.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Anaplastic thyroid cancer spheroids as preclinical models to test therapeutics.Journal of experimental & clinical cancer research : CR · 2024
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

11 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

7 authors at 1 institution in 1 country.

Shreya RaghavanDepartment of Materials Science Engineering, University of Michigan, Ann Arbor, USA.
Maria R WardDepartment of Materials Science Engineering, University of Michigan, Ann Arbor, USA.
Katelyn R RowleyDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, USA.
Rachel M WoldDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, USA.
Shuichi TakayamaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, USA; Macromolecular Science and Engineering, University of Michigan, Ann Arbor, USA.
Ronald J BuckanovichDepartment of Obstetrics and Gynecology - Gynecologic Oncology, University of Michigan, Ann Arbor, USA; Department of Internal Medicine - Hematology/Oncology, , University of Michigan, Ann Arbor, USA.
Geeta MehtaDepartment of Materials Science Engineering, University of Michigan, Ann Arbor, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, USA; Macromolecular Science and Engineering, University of Michigan, Ann Arbor, USA. Electronic address: mehtagee@umich.edu.
University of Michigan · US

Funding

High Throughput 3D Cell Assay for Metastatic Prostate CancerR41CA165463 · NCI · 3D BIOMATRIX, INC. · PI TAKAYAMA, SHUICHI · 2012 to 2013
$234k
NCI NIH HHS CA165463NCI NIH HHS R41 CA165463
6 · The paper itself

Abstract

backgroundOvarian cancer grows and metastasizes from multicellular spheroidal aggregates within the ascites fluid. Multicellular tumor spheroids are therefore physiologically significant 3D in vitro models for ovarian cancer research. Conventional hanging drop cultures require high starting cell numbers, and are tedious for long-term maintenance. In this study, we generate stable, uniform multicellular spheroids using very small number of ovarian cancer cells in a novel 384 well hanging drop array platform.

methodsWe used novel tumor spheroid platform and two ovarian cancer cell lines (A2780 and OVCAR3) to demonstrate the stable incorporation of as few as 10 cells into a single spheroid.

resultsSpheroids had uniform geometry, with projected areas (42.60×10(3)μm-475.22×10(3)μm(2) for A2780 spheroids and 37.24×10(3)μm(2)-281.01×10(3)μm(2) for OVCAR3 spheroids) that varied as a function of the initial cell seeding density. Phalloidin and nuclear stains indicated cells formed tightly packed spheroids with demarcated boundaries and cell-cell interaction within spheroids. Cells within spheroids demonstrated over 85% viability. 3D tumor spheroids demonstrated greater resistance (70-80% viability) to cisplatin chemotherapy compared to 2D cultures (30-50% viability).

conclusionsOvarian cancer spheroids can be generated from limited cell numbers in high throughput 384 well plates with high viability. Spheroids demonstrate therapeutic resistance relative to cells in traditional 2D culture. Stable incorporation of low cell numbers is advantageous when translating this research to rare patient-derived cells. This system can be used to understand ovarian cancer spheroid biology, as well as carry out preclinical drug sensitivity assays.

Indexed as

Cell Line, TumorDrug Screening Assays, AntitumorFemaleHigh-Throughput Screening AssaysHumansOvarian NeoplasmsSpheroids, Cellular3D cultureHigh throughputMulticellular tumor spheroidsOvarian cancerPreclinical drug testing

Identifiers

PMID25913133
PMCPMC4480341
OpenAlexW2063277203

What OpenQuestion holds

Textmetadata
LicenceTDM
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.