Evidence map›Paper›PMID 31234701›Full record

ArticleCell cycle (Georgetown, Tex.)2019

The evolution of spindles and their mechanical implications for cancer metastasis.

Yun Chen, Sungmin Nam, Ovijit Chaudhuri, Hsiao-Chun Huang

Open access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Mechanical signatures in cancer metastasis.npj biological physics and mechanics · 2025
    Review
  2. Article
  3. Article
  4. 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

4 authors at 2 institutions in 2 countries.

Yun Chena Institute of Molecular and Cellular Biology , National Taiwan University , Taipei , Taiwan.
Sungmin Namb Department of Mechanical Engineering , Stanford University , Stanford , CA , USA.
Ovijit Chaudhurib Department of Mechanical Engineering , Stanford University , Stanford , CA , USA.
Hsiao-Chun Huanga Institute of Molecular and Cellular Biology , National Taiwan University , Taipei , Taiwan.
National Taiwan University · TWStanford University · US

Funding

Role of extracellular matrix malleability in mediating breast cancer cell invasion and migrationR37CA214136 · NCI · STANFORD UNIVERSITY · PI CHAUDHURI, OVIJIT · 2018 to 2024
$2.5M
NCI NIH HHS R37 CA214136
6 · The paper itself

Abstract

The mitotic spindle has long been known to play a crucial role in mitosis, orchestrating the segregation of chromosomes into two daughter cells during mitosis with high fidelity. Intracellular forces generated by the mitotic spindle are increasingly well understood, and recent work has revealed that the efficiency and the accuracy of mitosis is ensured by the scaling of mitotic spindle size with cell size. However, the role of the spindle in cancer progression has largely been ignored. Two recent studies point toward the role of mitotic spindle evolution in cancer progression through extracellular force generation. Cancer cells with lengthened spindles exhibit highly increased metastatic potential. Further, interpolar spindle elongation drives protrusive extracellular force generation along the mitotic axis to allow mitotic elongation, a morphological change that is required for cell division. Together, these findings open a new research area studying the role of the mitotic spindle evolution in cancer metastasis.

Indexed as

MitosisSpindle ApparatusCell SizeChromosomesChromosome Segregationforce generationmicrotubule motorsnatural and cancer evolutionSpindles

Identifiers

PMID31234701
PMCPMC6649588
OpenAlexW2956157554

What OpenQuestion holds

Textmetadata
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.