Evidence map›Paper›PMID 26486848›Full record

ArticleScientific reports2015

Computer-assisted quantification of motile and invasive capabilities of cancer cells.

Karthiga Santhana Kumar, Max Pillong, Jens Kunze, Isabel Burghardt, Michael Weller, Michael A Grotzer, Gisbert Schneider, Martin Baumgartner

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Karthiga Santhana KumarDepartment of Oncology, Children's Research Center, University Children's Hospital Zürich, August-Forel Strasse 1, CH-8008 Zürich, Switzerland.
Max PillongDepartment of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 4, CH-8093 Zürich, Switzerland.
Jens KunzeDepartment of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 4, CH-8093 Zürich, Switzerland.
Isabel BurghardtDepartment of Neurology, University Hospital Zürich and University of Zürich, Frauenklinikstrasse 26, CH-8091 Zürich, Switzerland.
Michael WellerDepartment of Neurology, University Hospital Zürich and University of Zürich, Frauenklinikstrasse 26, CH-8091 Zürich, Switzerland.
Michael A GrotzerDepartment of Oncology, Children's Research Center, University Children's Hospital Zürich, August-Forel Strasse 1, CH-8008 Zürich, Switzerland.
Gisbert SchneiderDepartment of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 4, CH-8093 Zürich, Switzerland.
Martin BaumgartnerDepartment of Oncology, Children's Research Center, University Children's Hospital Zürich, August-Forel Strasse 1, CH-8008 Zürich, Switzerland.
ETH Zurich · CHUniversity Children's Hospital Zurich · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput analysis of cancer cell dissemination and its control by extrinsic and intrinsic cellular factors is hampered by the lack of adequate and efficient analytical tools for quantifying cell motility. Oncology research would greatly benefit from such a methodology that allows to rapidly determine the motile behaviour of cancer cells under different environmental conditions, including inside three-dimensional matrices. We combined automated microscopy imaging of two- and three-dimensional cell cultures with computational image analysis into a single assay platform for studying cell dissemination in high-throughput. We have validated this new approach for medulloblastoma, a metastatic paediatric brain tumour, in combination with the activation of growth factor signalling pathways with established pro-migratory functions. The platform enabled the detection of primary tumour and patient-derived xenograft cell sensitivity to growth factor-dependent motility and dissemination and identified tumour subgroup-specific responses to selected growth factors of excellent diagnostic value.

Indexed as

Image Processing, Computer-AssistedCell Line, TumorCell MovementHumansIntercellular Signaling Peptides and ProteinsMedulloblastomaSignal TransductionSoftwareTumor MicroenvironmentXenograft Model Antitumor AssaysIntercellular Signaling Peptides and Proteins

Identifiers

PMID26486848
PMCPMC4614254
OpenAlexW2417037533

What OpenQuestion 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 OpenQuestion graph.