Evidence map›Paper›PMID 32776157›Full record

ReviewCancer metastasis reviews2020

A systems biology approach to discovering pathway signaling dysregulation in metastasis.

Robert Clarke, Pavel Kraikivski, Brandon C Jones, Catherine M Sevigny, Surojeet Sengupta, Yue Wang

Abstract readReview
In one paragraph

Review in Cancer metastasis reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Characterization of the Antiproliferative and Antimetastatic Properties ofInternational journal of molecular sciences · 2025
    Article
  5. Review
  6. Review
  7. Review
  8. Introduction: Cancer Systems and Integrative Biology.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  9. Mathematical Models of Death Signaling Networks.Entropy (Basel, Switzerland) · 2022
    Review
  10. Review
  11. Article
  12. Article
  13. 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

6 authors.

Robert ClarkeDepartment of Oncology, Georgetown University Medical Center, 3970 Reservoir Rd NW, Washington, DC, 20057, USA. clarker@umn.edu.
Pavel KraikivskiAcademy of Integrated Science, Division of Systems Biology, Virginia Polytechnic and State University, Blacksburg, VA, 24061, USA.
Brandon C JonesDepartment of Oncology, Georgetown University Medical Center, 3970 Reservoir Rd NW, Washington, DC, 20057, USA.
Catherine M SevignyDepartment of Oncology, Georgetown University Medical Center, 3970 Reservoir Rd NW, Washington, DC, 20057, USA.
Surojeet SenguptaDepartment of Oncology, Georgetown University Medical Center, 3970 Reservoir Rd NW, Washington, DC, 20057, USA.
Yue WangBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, 22203, USA.

Funding

Genomic and Proteomic Architecture of AtherosclerosisR01HL111362 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HERRINGTON, DAVID MCLEOD · 2012 to 2021
$17.2M
TRAINING GRANT IN TUMOR BIOLOGYT32CA009686 · NCI · GEORGETOWN UNIVERSITY · PI ANNA Tate RIEGEL, DAVID J ROBBINS · 1996 to 2026
$10.8M
Collaborative Research in Integrative Cancer BiologyU01CA184902 · NCI · GEORGETOWN UNIVERSITY · PI CLARKE, ROBERT R., WANG, YUE · 2014 to 2018
$2.7M
NCI NIH HHS T32 CA009686NCI NIH HHS U01 CA184902NHLBI NIH HHS R01 HL111362
6 · The paper itself

Abstract

Total metastatic burden is the primary cause of death for many cancer patients. While the process of metastasis has been studied widely, much remains to be understood. Moreover, few agents have been developed that specifically target the major steps of the metastatic cascade. Many individual genes and pathways have been implicated in metastasis but a holistic view of how these interact and cooperate to regulate and execute the process remains somewhat rudimentary. It is unclear whether all of the signaling features that regulate and execute metastasis are yet fully understood. Novel features of a complex system such as metastasis can often be discovered by taking a systems-based approach. We introduce the concepts of systems modeling and define some of the central challenges facing the application of a multidisciplinary systems-based approach to understanding metastasis and finding actionable targets therein. These challenges include appreciating the unique properties of the high-dimensional omics data often used for modeling, limitations in knowledge of the system (metastasis), tumor heterogeneity and sampling bias, and some of the issues key to understanding critical features of molecular signaling in the context of metastasis. We also provide a brief introduction to integrative modeling that focuses on both the nodes and edges of molecular signaling networks. Finally, we offer some observations on future directions as they relate to developing a systems-based model of the metastatic cascade.

Indexed as

Disease ProgressionHumansNeoplasm MetastasisNeoplasmsSignal TransductionSystems BiologyBioinformaticsBreast cancerComputational modelingMathematical modelingMetastasisMultiscale modelingPathway analysisSignalingSystems biology

Identifiers

PMID32776157
PMCPMC7487029

What OpenQuestion holds

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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.