期刊
JOURNAL OF PROTEOME RESEARCH
卷 16, 期 2, 页码 1027-1038出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.6b00950
关键词
breast cancer metastasis to bone; breast cancer; bone cancer; protein-protein interaction; shortest path algorithm
资金
- National Natural Science Foundation of China [31371335]
- Shanghai Sailing Program
- Youth Innovation Promotion Association of Chinese Academy of Sciences (CAS) [2016245]
Tumor metastasis is defined as the spread of tumor cells from one organ or part to another that is not directly connected to it, which significantly contributes to the progression and aggravation of tumorigenesis. Because it always involves multiple organs, the metastatic process is difficult to study in its entirety. Complete identification of the genes related to this process is an alternative way to study metastasis. In this study, we developed a computational method to identify such genes. To test our method, we selected breast cancer bone metastasis. A large network was constructed using human protein-protein interactions. On the basis of the validated genes related to breast and bone cancer, a shortest path algorithm was applied to the network to search for novel genes that may mediate breast cancer metastasis to bone. In addition, further rules constructed using the permutation FDR, the betweenness ratio, and the maxmin interaction score were also employed in the method to make the inferred genes more reliable. Eighteen putative genes were identified by the method and were extensively analyzed. The confirmation results indicate that these genes participate in metastasis.
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