Whole blood gene expression analyses in patients with single versus recurrent venous thromboembolism

被引:43
作者
Lewis, Deborah A. [1 ]
Stashenko, Gregg J. [1 ]
Akay, Olga M. [1 ]
Price, Lulit I. [1 ]
Owzar, Kouros [3 ]
Ginsburg, Geoffrey S. [1 ,2 ,5 ]
Chi, Jen-Tsan [4 ,5 ]
Ortel, Thomas L. [1 ,2 ]
机构
[1] Duke Univ, Med Ctr, Dept Med, Durham, NC 27710 USA
[2] Duke Univ, Med Ctr, Dept Pathol, Durham, NC 27710 USA
[3] Duke Univ, Med Ctr, Dept Biostat, Durham, NC USA
[4] Duke Univ, Med Ctr, Dept Mol Genet & Microbiol, Durham, NC USA
[5] Duke Univ, Med Ctr, Inst Genome Sci & Policy, Durham, NC USA
基金
美国国家卫生研究院;
关键词
Genomics; Risk factors; Deep vein thrombosis; INTENSITY WARFARIN THERAPY; HUMAN BREAST-CANCER; LONG-TERM; D-DIMER; PATHWAY; THROMBOSIS; ACTIVATION; PREVENTION; SIGNATURES; PROFILES;
D O I
10.1016/j.thromres.2011.06.003
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Venous thromboembolism may recur in up to 30% of patients with a spontaneous venous thromboembolism after a standard course of anticoagulation. Identification of patients at risk for recurrent venous thromboembolism would facilitate decisions concerning the duration of anticoagulant therapy. Objectives: In this exploratory study, we investigated whether whole blood gene expression data could distinguish subjects with single venous thromboembolism from subjects with recurrent venous thromboembolism. Methods: 40 adults with venous thromboembolism (23 with single event and 17 with recurrent events) on warfarin were recruited. Individuals with antiphospholipid syndrome or cancer were excluded. Plasma and serum samples were collected for biomarker testing, and PAXgene tubes were used to collect whole blood RNA samples. Results: D-dimer levels were significantly higher in patients with recurrent venous thromboembolism, but P-selectin and thrombin-antithrombin complex levels were similar in the two groups. Comparison of gene expression data from the two groups provided us with a 50 gene probe model that distinguished these two groups with good receiver operating curve characteristics (AUC 0.75). This model includes genes involved in mRNA splicing and platelet aggregation. Pathway analysis between subjects with single and recurrent venous thromboembolism revealed that the Akt pathway was up-regulated in the recurrent venous thromboembolism group compared to the single venous thromboembolism group. Conclusions: In this exploratory study, gene expression profiles of whole blood appear to be a useful strategy to distinguish subjects with single venous thromboembolism from those with recurrent venous thromboembolism. Prospective studies with additional patients are needed to validate these results. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:536 / 540
页数:5
相关论文
共 34 条
[1]   Role of nuclear receptor signaling in platelets: antithrombotic effects of PPARβ [J].
Ali, Ferhana Y. ;
Davidson, Simon J. ;
Moraes, Leonardo A. ;
Traves, Suzanne L. ;
Paul-Clark, Mark ;
Bishop-Bailey, David ;
Warner, Timothy D. ;
Mitchell, Jane A. .
FASEB JOURNAL, 2006, 20 (02) :326-328
[2]  
[Anonymous], 2005, BIOINFORMATICS COMPU
[3]  
Aziz Hamza, 2007, Genomic Med, V1, P105, DOI 10.1007/s11568-008-9017-x
[4]   The thrombophilias: Well-defined risk factors with uncertain therapeutic implications [J].
Bauer, KA .
ANNALS OF INTERNAL MEDICINE, 2001, 135 (05) :367-373
[5]   Venous Thromboembolism A Public Health Concern [J].
Beckman, Michele G. ;
Hooper, W. Craig ;
Critchley, Sara E. ;
Ortel, Thomas L. .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2010, 38 (04) :S495-S501
[6]   Innate immune response gene expression profiles characterize primary antiphospholipid syndrome [J].
Bernales, I. ;
Fullaondo, A. ;
Marin-Vidalled, M. J. ;
Ucar, E. ;
Martinez-Taboada, V. ;
Lopez-Hoyos, M. ;
Zubiaga, A. M. .
GENES AND IMMUNITY, 2008, 9 (01) :38-46
[7]   Oncogenic pathway signatures in human cancers as a guide to targeted therapies [J].
Bild, AH ;
Yao, G ;
Chang, JT ;
Wang, QL ;
Potti, A ;
Chasse, D ;
Joshi, MB ;
Harpole, D ;
Lancaster, JM ;
Berchuck, A ;
Olson, JA ;
Marks, JR ;
Dressman, HK ;
West, M ;
Nevins, JR .
NATURE, 2006, 439 (7074) :353-357
[8]   A comparison of normalization methods for high density oligonucleotide array data based on variance and bias [J].
Bolstad, BM ;
Irizarry, RA ;
Åstrand, M ;
Speed, TP .
BIOINFORMATICS, 2003, 19 (02) :185-193
[9]   Minimum information about a microarray experiment (MIAME) - toward standards for microarray data [J].
Brazma, A ;
Hingamp, P ;
Quackenbush, J ;
Sherlock, G ;
Spellman, P ;
Stoeckert, C ;
Aach, J ;
Ansorge, W ;
Ball, CA ;
Causton, HC ;
Gaasterland, T ;
Glenisson, P ;
Holstege, FCP ;
Kim, IF ;
Markowitz, V ;
Matese, JC ;
Parkinson, H ;
Robinson, A ;
Sarkans, U ;
Schulze-Kremer, S ;
Stewart, J ;
Taylor, R ;
Vilo, J ;
Vingron, M .
NATURE GENETICS, 2001, 29 (04) :365-371
[10]   GATHER: a systems approach to interpreting genomic signatures [J].
Chang, Jeffrey T. ;
Nevins, Joseph R. .
BIOINFORMATICS, 2006, 22 (23) :2926-2933