An Integrated Genome-Wide Systems Genetics Screen for Breast Cancer Metastasis Susceptibility Genes
Author(s) -
Ling Bai,
Howard H. Yang,
Ying Hu,
Anjali Shukla,
NgocHan Ha,
Anthony Doran,
Farhoud Faraji,
Natalie Goldberger,
Maxwell P. Lee,
Thomas Keane,
Kent W. Hunter
Publication year - 2016
Publication title -
plos genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.587
H-Index - 233
eISSN - 1553-7404
pISSN - 1553-7390
DOI - 10.1371/journal.pgen.1005989
Subject(s) - metastasis , biology , genome , breast cancer , disease , gene , cancer , computational biology , bioinformatics , cancer research , genetics , medicine
Metastasis remains the primary cause of patient morbidity and mortality in solid tumors and is due to the action of a large number of tumor-autonomous and non-autonomous factors. Here we report the results of a genome-wide integrated strategy to identify novel metastasis susceptibility candidate genes and molecular pathways in breast cancer metastasis. This analysis implicates a number of transcriptional regulators and suggests cell-mediated immunity is an important determinant. Moreover, the analysis identified novel or FDA-approved drugs as potentially useful for anti-metastatic therapy. Further explorations implementing this strategy may therefore provide a variety of information for clinical applications in the control and treatment of advanced neoplastic disease.
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