Evidence map›Paper›PMID 31323899›Full record

ReviewCancers2019

The Role of Cancer Stem Cells and Mechanical Forces in Ovarian Cancer Metastasis.

Michael E Bregenzer, Eric N Horst, Pooja Mehta, Caymen M Novak, Taylor Repetto, Geeta Mehta

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2019. 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
4.4field-weighted citation impact, top 4% 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

43 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Mechanical signatures in cancer metastasis.npj biological physics and mechanics · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. AInternational journal of molecular sciences · 2023
    Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Review
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 at 1 institution in 1 country.

Michael E BregenzerDepartment of Biomedical Engineering; University of Michigan, Ann Arbor, MI 48109, USA.
Eric N HorstDepartment of Biomedical Engineering; University of Michigan, Ann Arbor, MI 48109, USA.
Pooja MehtaDepartment of Materials Science and Engineering; University of Michigan, Ann Arbor, MI 48109, USAeering.
Caymen M NovakDepartment of Biomedical Engineering; University of Michigan, Ann Arbor, MI 48109, USA.
Taylor RepettoDepartment of Materials Science and Engineering; University of Michigan, Ann Arbor, MI 48109, USAeering.
Geeta MehtaDepartment of Biomedical Engineering; University of Michigan, Ann Arbor, MI 48109, USA. mehtagee@umich.edu.
University of Michigan · US

Funding

National Institutes of Health P30CA046592National Science Foundation Graduate Research Fellowship under Grant No. 1256260Rivkin Center for Ovarian Cancer Pilot Awardundefined <span style="color:gray;font-size:10px;">undefined</span> Department of Education Graduate Assistance in Areas of National Need (GAANN) Fellowshipundefined <span style="color:gray;font-size:10px;">undefined</span> Michigan Ovarian Cancer AllianceU.S. Department of Defense W81XWH-13-1-0134U.S. Department of Defense W81XWH-16-1-0426U.S. Department of Defense W81XWH-17-OCRP-IIRA
6 · The paper itself

Abstract

Ovarian cancer is an extremely lethal gynecologic disease; with the high-grade serous subtype predominantly associated with poor survival rates. Lack of early diagnostic biomarkers and prevalence of post-treatment recurrence, present substantial challenges in treating ovarian cancers. These cancers are also characterized by a high degree of heterogeneity and protracted metastasis, further complicating treatment. Within the ovarian tumor microenvironment, cancer stem-like cells and mechanical stimuli are two underappreciated key elements that play a crucial role in facilitating these outcomes. In this review article, we highlight their roles in modulating ovarian cancer metastasis. Specifically, we outline the clinical relevance of cancer stem-like cells, and challenges associated with their identification and characterization and summarize the ways in which they modulate ovarian cancer metastasis. Further, we review the mechanical cues in the ovarian tumor microenvironment, including, tension, shear, compression and matrix stiffness, that influence (cancer stem-like cells and) metastasis in ovarian cancers. Lastly, we outline the challenges associated with probing these important modulators of ovarian cancer metastasis and provide suggestions for incorporating these cues in basic biology and translational research focused on metastasis. We conclude that future studies on ovarian cancer metastasis will benefit from the careful consideration of mechanical stimuli and cancer stem cells, ultimately allowing for the development of more effective therapies.

Indexed as

ascitescancer stem cellscompressionmatrix stiffnessmechanical stimulationmechanotransductionovarian cancer metastasisshear stresstensionviscoelastic

Identifiers

PMID31323899
PMCPMC6679114
OpenAlexW2957663828

What Socratic 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 Socratic graph.