期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 109, 期 23, 页码 9209-9212出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1201416109
关键词
network entropy; signaling pathway; degree distribution; prostate cancer; basal cell carcinoma
资金
- Natural Sciences and Engineering Research Council of Canada
- Allard Foundation
- Alberta Advanced Education and Technology
- Canadian Breast Cancer Foundation
- Alberta Cancer Foundation
- National Cancer Institute [U54CA149233]
The 5-y survival for cancer patients after diagnosis and treatment is strongly dependent on tumor type. Prostate cancer patients have a >99% chance of survival past 5 y after diagnosis, and pancreatic patients have <6% chance of survival past 5 y. Because each cancer type has its own molecular signaling network, we asked if there are signatures embedded in these networks that inform us as to the 5-y survival. In other words, are there statistical metrics of the network that correlate with survival? Furthermore, if there are, can such signatures provide clues to selecting new therapeutic targets? From the Kyoto Encyclopedia of Genes and Genomes Cancer Pathway database we computed several conventional and some less conventional network statistics. In particular we found a correlation (R-2 = 0.7) between degree-entropy and 5-y survival based on the Surveillance Epidemiology and End Results database. This correlation suggests that cancers that have a more complex molecular pathway are more refractory than those with less complex molecular pathway. We also found potential new molecular targets for drugs by computing the betweenness-a statistical metric of the centrality of a node-for the molecular networks.
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