Evidence map›Paper›PMID 26873952›Full record

ArticleBiology open2016

Changes in cell shape are correlated with metastatic potential in murine and human osteosarcomas.

Samanthe M Lyons, Elaheh Alizadeh, Joshua Mannheimer, Katherine Schuamberg, Jordan Castle, Bryce Schroder, Philip Turk, Douglas Thamm, Ashok Prasad

Abstract read
In one paragraph

Article in Biology open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. Article
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  4. Mechanical Evolution of Metastatic Cancer Cells in 3D Microenvironment.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
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  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The Role ofInternational journal of molecular sciences · 2023
    Article
  17. Cell morphology best predicts tumorigenicity and metastasisbioRxiv : the preprint server for biology · 2023
    Article
  18. Article
  19. Article
  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.

Samanthe M LyonsSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523, USA College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Elaheh AlizadehDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO 80523, USA.
Joshua MannheimerSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523, USA.
Katherine SchuambergSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523, USA.
Jordan CastleDepartment of Biology, Colorado State University, Fort Collins, CO 80523, USA.
Bryce SchroderSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523, USA.
Philip TurkDepartment of Statistics, Colorado State University, Fort Collins, CO 80523, USA.
Douglas ThammCollege of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Ashok PrasadSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523, USA Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO 80523, USA ashokp@engr.colostate.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic cancer cells for many cancers are known to have altered cytoskeletal properties, in particular to be more deformable and contractile. Consequently, shape characteristics of more metastatic cancer cells may be expected to have diverged from those of their parental cells. To examine this hypothesis we study shape characteristics of paired osteosarcoma cell lines, each consisting of a less metastatic parental line and a more metastatic line, derived from the former by in vivo selection. Two-dimensional images of four pairs of lines were processed. Statistical analysis of morphometric characteristics shows that shape characteristics of the metastatic cell line are partly overlapping and partly diverged from the parental line. Significantly, the shape changes fall into two categories, with three paired cell lines displaying a more mesenchymal-like morphology, while the fourth displaying a change towards a more rounded morphology. A neural network algorithm could distinguish between samples of the less metastatic cells from the more metastatic cells with near perfect accuracy. Thus, subtle changes in shape carry information about the genetic changes that lead to invasiveness and metastasis of osteosarcoma cancer cells.

Indexed as

Cell shapeCytoskeletonInvasivenessMachine learningMetastasisMorphometrics

Identifiers

PMID26873952
PMCPMC4810736

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Registered trials

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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.