Title |
The `dnet’ approach promotes emerging research on cancer patient survival
|
---|---|
Published in |
Genome Medicine, August 2014
|
DOI | 10.1186/s13073-014-0064-8 |
Pubmed ID | |
Authors |
Hai Fang, Julian Gough |
Abstract |
We present the 'dnet' package and apply it to the 'TCGA' mutation and clinical data of >3,000 patients. We uncover the existence of an underlying gene network that at least partially controls cancer 'survivalness', with mutations that are significantly correlated with patient survival, yet independent of tumour origin and type. The survivalness network has natural community structure corresponding to tumour hallmarks, and contains genes that are potentially druggable in the clinic. This network has evolutionary roots in Deuterostomia identifying PTK2 and VAV1 as under-valued relative to more studied genes from that era. The 'dnet' R package is available at http://cran.r-project.org/package=dnet. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 3% |
Sweden | 1 | 1% |
Germany | 1 | 1% |
Romania | 1 | 1% |
United States | 1 | 1% |
Unknown | 64 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 20 | 29% |
Student > Master | 9 | 13% |
Student > Ph. D. Student | 7 | 10% |
Professor | 5 | 7% |
Professor > Associate Professor | 4 | 6% |
Other | 12 | 17% |
Unknown | 13 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 29% |
Biochemistry, Genetics and Molecular Biology | 12 | 17% |
Medicine and Dentistry | 9 | 13% |
Computer Science | 6 | 9% |
Engineering | 4 | 6% |
Other | 5 | 7% |
Unknown | 14 | 20% |