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Cancer metastasis: issues and challenges

Overview of attention for article published in Cancer Communications, April 2017
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11 news outlets
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1 Wikipedia page

Citations

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99 Dimensions

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173 Mendeley
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Title
Cancer metastasis: issues and challenges
Published in
Cancer Communications, April 2017
DOI 10.1186/s40880-017-0206-7
Pubmed ID
Authors

Chao-Nan Qian, Yan Mei, Jian Zhang

Abstract

Metastasis is the major cause of treatment failure in cancer patients and of cancer-related deaths. This editorial discusses how cancer metastasis may be better perceived and controlled. Based on big-data analyses, a collection of 150 important pro-metastatic genes was studied. Using The Cancer Genome Atlas datasets to re-analyze the effect of some previously reported metastatic genes-e.g., JAM2, PPARGC1A, SIK2, and TRAF6-on overall survival of patients with renal and liver cancers, we found that these genes are actually protective factors for patients with cancer. The role of epithelial-mesenchymal transition (EMT) in single-cell metastasis has been well-documented. However, in metastasis caused by cancer cell clusters, EMT may not be necessary. A novel role of epithelial marker E-cadherin, as a sensitizer for chemoresistant prostate cancer cells by inhibiting Notch signaling, has been found. This editorial also discusses the obstacles for developing anti-metastatic drugs, including the lack of high-throughput technologies for identifying metastasis inhibitors, less application of animal models in the pre-clinical evaluation of the leading compounds, and the need for adjustments in clinical trial design to better reflect the anti-metastatic efficacy of new drugs. We are confident that by developing more effective high-throughput technologies to identify metastasis inhibitors, we can better predict, prevent, and treat cancer metastasis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 173 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 33 19%
Student > Master 23 13%
Student > Ph. D. Student 21 12%
Researcher 13 8%
Student > Doctoral Student 10 6%
Other 6 3%
Unknown 67 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 44 25%
Medicine and Dentistry 13 8%
Agricultural and Biological Sciences 9 5%
Pharmacology, Toxicology and Pharmaceutical Science 9 5%
Engineering 8 5%
Other 22 13%
Unknown 68 39%