Evidence map›Paper›PMID 31465728›Full record

ReviewCell systems2019

Systems Biology of Cancer Metastasis.

Yasir Suhail, Margo P Cain, Kiran Vanaja, Paul A Kurywchak, Andre Levchenko, Raghu Kalluri, Kshitiz

Abstract readReview
In one paragraph

Review in Cell systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 255 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
255citing papers in PubMed, 3 pooled it
–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

255 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Radiation Oncology-Biology Integration Network: Bridging the Gap between Biological Research and Clinical Practice.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Review
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195 more citing papers are in PubMed but not listed here.

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

7 authors.

Yasir SuhailDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, USA; Cancer Systems Biology @ Yale (CaSB@Yale), Yale University, West Haven, CT, USA.
Margo P CainDepartment of Cancer Biology, MD Anderson Cancer Center, Houston, TX, USA.
Kiran VanajaCancer Systems Biology @ Yale (CaSB@Yale), Yale University, West Haven, CT, USA.
Paul A KurywchakDepartment of Cancer Biology, MD Anderson Cancer Center, Houston, TX, USA.
Andre LevchenkoCancer Systems Biology @ Yale (CaSB@Yale), Yale University, West Haven, CT, USA.
Raghu KalluriDepartment of Cancer Biology, MD Anderson Cancer Center, Houston, TX, USA.
KshitizDepartment of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, USA; Cancer Systems Biology @ Yale (CaSB@Yale), Yale University, West Haven, CT, USA. Electronic address: kshitiz@uchc.edu.

Funding

Systems analysis of phenotypic switch in control of cancer invasionU54CA209992 · NCI · YALE UNIVERSITY · PI LEVCHENKO, ANDRE · 2016 to 2021
$10.1M
NCI NIH HHS U54 CA209992
6 · The paper itself

Abstract

Cancer metastasis is no longer viewed as a linear cascade of events but rather as a series of concurrent, partially overlapping processes, as successfully metastasizing cells assume new phenotypes while jettisoning older behaviors. The lack of a systemic understanding of this complex phenomenon has limited progress in developing treatments for metastatic disease. Because metastasis has traditionally been investigated in distinct physiological compartments, the integration of these complex and interlinked aspects remains a challenge for both systems-level experimental and computational modeling of metastasis. Here, we present some of the current perspectives on the complexity of cancer metastasis, the multiscale nature of its progression, and a systems-level view of the processes underlying the invasive spread of cancer cells. We also highlight the gaps in our current understanding of cancer metastasis as well as insights emerging from interdisciplinary systems biology approaches to understand this complex phenomenon.

Indexed as

AnimalsDisease ProgressionHumansNeoplasm MetastasisNeoplasmsSignal TransductionSystems Biology▪▪

Identifiers

PMID31465728
PMCPMC6716621

What OpenQuestion holds

Textmetadata
LicenceTDM
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.