Abstract:
:Venous thromboembolism (VTE) is a common, fatal and frequently recurrent disease. Changes in the activity of different coagulation factors serve as a pathophysiological basis for the recurrent risk of VTE. Systems biology approaches provide a better understanding of the pathological mechanisms responsible for recurrent VTE. In this study, a novel computational method was presented to identify the recurrent risk modules (RRMs) based on the integration of expression profiles and human signaling network, which hold promise for achieving new and deeper insights into the mechanisms responsible for VTE. The results revealed that the RRMs had good classification performance to discriminate patients with recurrent VTE. The functional annotation analysis demonstrated that the RRMs played a crucial role in the pathogenesis of VTE. Furthermore, a variety of approved drug targets in the RRM M5 were related to VTE. Thus, the M5 may be applied to select potential drug targets for combination therapy and the extended treatment of VTE.
journal_name
Int J Mol Medjournal_title
International journal of molecular medicineauthors
Xie R,Li L,Chen L,Li W,Chen B,Jiang J,Huang H,Li Y,He Y,Lv J,He Wdoi
10.3892/ijmm.2016.2829subject
Has Abstractpub_date
2017-02-01 00:00:00pages
463-471issue
2eissn
1107-3756issn
1791-244Xjournal_volume
39pub_type
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