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Cited by 452

The DOI matches its Crossref record; 220 of the 220 references it cites were found in a registry or an index.

Systems Biology of Cancer Metastasis

Open access
Suhail, Yasir, Cain, Margo P., Vanaja, Kiran, Kurywchak, Paul A., Levchenko, Andre, Kalluri, Raghu, Kshitiz·2019·Cell Systems

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.

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Metadata

Authors
Suhail, Y., Cain, M. P., Vanaja, K., Kurywchak, P. A., Levchenko, A., Kalluri, R., & Kshitiz
Venue
Cell Systems
Publisher
Elsevier BV
Published
2019-08
Volume
9
Issue
2
Pages
109-127
ISSN
2405-4712 (ISSN-L)
OpenAlex
W2970819265
Cited by
452
References
220
FWCI
13.51
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Systems Biology of Cancer Metastasis. https://app.cochat.ai/papers/10.1016/j.cels.2019.07.003
The paper
Suhail, Y., Cain, M. P., Vanaja, K., Kurywchak, P. A., Levchenko, A., Kalluri, R., & Kshitiz. (2019). Systems Biology of Cancer Metastasis. Cell Systems. https://doi.org/10.1016/j.cels.2019.07.003

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.