Evidence map›Paper›PMID 25309822›Full record

ArticleCancer hallmarks2013

A Brief Review of the Biophysical Hallmarks of Metastatic Cancer Cells.

Weijia Zhang, Kazuharu Kai, Naoto T Ueno, Lidong Qin

Abstract read
In one paragraph

Article in Cancer hallmarks, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Mechanical signatures in cancer metastasis.npj biological physics and mechanics · 2025
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Hydrodynamic shear-based purification of cancer cells with enhanced tumorigenic potential.Integrative biology : quantitative biosciences from nano to macro · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. 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

4 authors.

Weijia ZhangDepartment of Nanomedicine, The Methodist Hospital Research Institute, Houston, TX 77030, USA ; Department of Cell and Developmental Biology, Weill Medical College of Cornell University, 1300 York Avenue, New York, NY 10065, USA.
Kazuharu KaiMorgan Welch Inflammatory Breast Cancer Research Program and Clinic, Breast Cancer Translational Research Laboratory, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Naoto T UenoMorgan Welch Inflammatory Breast Cancer Research Program and Clinic, Breast Cancer Translational Research Laboratory, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Lidong QinDepartment of Nanomedicine, The Methodist Hospital Research Institute, Houston, TX 77030, USA ; Department of Cell and Developmental Biology, Weill Medical College of Cornell University, 1300 York Avenue, New York, NY 10065, USA.

Funding

(PQA4) Point-of-Care Test of Exposure to Hepatocellular Carcinoma Risk by V-ChipR01CA180083 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI QIN, LIDONG, WU, XIFENG · 2013 to 2016
$2.1M
NCI NIH HHS R01 CA180083
6 · The paper itself

Abstract

A hallmark of metastatic cancer cells is their invasion through the basal membrane and endothelial layer, which requires a highly elastic cytoskeleton and nucleus. Therefore, cellular deformability can serve as a universal biophysical marker for detecting a tumor's propensity for invasion, migration, and metastasis. In this review, we define the importance of the biophysical features of cancer cells in tumor metastasis and summarize the state-of-the-art technology for the study of cell biomechanics. This review will serve as a brief introduction to the interdisciplinary character of cancer cell biophysics for cancer biologists, physicists, and engineers.

Indexed as

BiophysicsCancer metastasisCell biomechanicsMechanobiologyMicrofluidics

Identifiers

PMID25309822
PMCPMC4189832

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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.