Tissue factor gene polymorphisms and haplotypes and the risk of ischemic vascular events: four studies and a meta-analysis

Human Genetic Variation in F3 and Its Impact on Tissue Factor-Dependent Disease

Tissue factor (TF) is the primary initiator of blood coagulation in humans. As improper intravascular TF expression and procoagulant activity underlie numerous thrombotic disorders, there has been longstanding interest in the contribution of heritable genetic variation in F3, the gene encoding TF, to human disease. This review seeks to comprehensively and critically synthesize small case-control studies focused on candidate single nucleotide polymorphisms (SNPs), as well as modern genome-wide association studies (GWAS) seeking to discover novel associations between variants and clinical phenotypes. Where possible, correlative laboratory studies, expression quantitative trait loci, and protein quantitative trait loci are evaluated to glean potential mechanistic insights. Most disease associations implicated in historical case-control studies have proven difficult to replicate in large GWAS. Nevertheless, SNPs linked to F3, such as rs2022030, are associated with increased F3 mRNA expression, monocyte TF expression after endotoxin exposure, and circulating levels of the prothrombotic biomarker D-dimer, consistent with the central role of TF in the initiation of blood coagulation.

Shared polymorphisms and modifiable behavior factors for myocardial infarction and high cholesterol in a retrospective population study

Genetic and environmental (behavior, clinical, and demographic) factors are associated with increased risks of both myocardial infarction (MI) and high cholesterol (HC). It is known that HC is major risk factor that may cause MI. However, whether there are common single nucleotide polymorphism (SNPs) associated with both MI and HC is not firmly established, and whether there are modulate and modified effects (interactions of genetic and known environmental factors) on either HC or MI, and whether these joint effects improve the predictions of MI, is understudied.The purpose of this study is to identify novel shared SNPs and modifiable environmental factors on MI and HC. We assess whether SNPs from a metabolic pathway related to MI may relate to HC; whether there are moderate effects among SNPs, lifestyle (smoke and drinking), HC, and MI after controlling other factors [gender, body mass index (BMI), and hypertension (HTN)]; and evaluate prediction power of the joint and modulate genetic and environmental factors influencing the MI and HC.This is a retrospective study with residents of Erie and Niagara counties in New York with a history of MI or with no history of MI. The data set includes environmental variables (demographic, clinical, lifestyle). Thirty-one tagSNPs from a metabolic pathway related to MI are genotyped. Generalized linear models (GLMs) with imputation-based analysis are conducted for examining the common effects of tagSNPs and environmental exposures and their interactions on having a history of HC or MI.MI, BMI, and HTN are significant risk factors for HC. HC shows the strongest effect on risk of MI in addition to HTN; gender and smoking status while drinking status shows protective effect on MI. rs16944 (gene IL-1β) and rs17222772 (gene ALOX) increase the risks of HC, while rs17231896 (gene CETP) has protective effects on HC either with or without the clinical, behavioral, demographic factors with different effect sizes that may indicate the existence of moderate or modifiable effects. Further analysis with the inclusions of gene-gene and gene-environmental interactions shows interactions between rs17231896 (CETP) and rs17222772 (ALOX); rs17231896 (CETP) and gender. rs17237890 (CETP) and rs2070744 (NOS3) are found to be significantly associated with risks of MI adjusted by both SNPs and environmental factors. After multiple testing adjustments, these effects diminished as expected. In addition, an interaction between drinking and smoking status is significant. Overall, the prediction power in successfully classifying MI status is increased to 80% with inclusions of all significant tagSNPs and environmental factors and their interactions compared with environmental factors only (72%).Having a history of either HC or MI has significant effects on each other in both directions, in addition to HTN and gender. Genes/SNPs identified from this analysis that are associated with HC may be potentially linked to MI, which could be further examined and validated through haplotype-pairs analysis with appropriate population stratification corrections, and function/pathway regulation analysis to eliminate the limitations of the current analysis.

Role of monocyte tissue factor on patients with non-small cell lung cancer

BACKGROUND

To examine the expression of D-dimer, fibrinogen (FIB), leukocyte, C-reactive protein (CRP) and tissue factor (TF) released from monocyte in non-small cell lung cancer (NSCLC) patients with or without venous thromboembolism (VTE) and analyse the correlation, to explore the possible mechanisms.

METHODS

Seventy-two patients confirmed the diagnosis of lung cancer, among whom 10 with VTE were enrolled into the study from November 2012 to January 2014 in the First Affiliated Hospital of Fujian Medical University and 30 healthy subjects were also enrolled as the control group. Ficoll and Percoll density gradient centrifugation separated of peripheral blood monocyte. Monocyte TF mRNA expression was detected using reverse transcriptase-polymerase chain reaction (RT-PCR).

RESULTS

There were significant differences in different stages of the cancer (P < .05) and no significance among the histopathologic types (P > .05) for the expression of monocyte TF mRNA in NSCLC patients, its expression was significantly higher in cancer with lymph node metastasis than those without lymph node metastasis (P < .01). Meanwhile, in NSCLC patients with VTE, the expression of monocyte TF mRNA was significantly higher than that in patients without VTE (P < .01). Difference of the survival curves between the low monocyte TF mRNA expression and the high monocyte TF mRNA expression was significant (Log-rank x2 = 4.923, P < .05).

CONCLUSIONS

Monocyte TF may be a relevant source of TF-mediated thrombogenicity in NSCLC patients and may be associated with prognosis in NSCLC.

Circulating Tissue Factor Levels and Risk of Stroke

Background and Purpose—

Tissue factor (TF) expression is increased in inflammatory atherosclerotic plaques and has been related to their thrombogenicity. Blood-borne TF has been also demonstrated to contribute to thrombogenesis. However, few studies have evaluated the association of circulating levels of TF with stroke. We investigated the association of baseline circulating levels of TF with stroke events occurred in the European Prospective Investigation into Cancer and Nutrition-Italy cohort.

Methods—

Using a nested case–cohort design, a center-stratified random sample of 839 subjects (66% women; age range, 35–71 years) was selected as subcohort and compared with 292 strokes in a mean follow-up of 9 years. Blood samples were collected at baseline in citrate, plasma was stored in liquid nitrogen and TF was measured by ELISA (IMUBIND, TF ELISA, Instrumentation Laboratory, Milan, Italy). The odd ratios and 95% confidence intervals, adjusted by relevant confounders (covariates of TF) and stratified by center, were estimated by a Cox regression model using Prentice method.

Results—

Individuals in the highest compared with the lowest quartile of TF plasma levels had significantly increased risk of stroke (odds ratio IVvsI quartile , 2.01; 95% confidence interval, 1.25–3.23). The association was independent from several potential confounders (odds ratio IVvsI quartile , 1.91; 95% confidence interval, 1.15–3.19). No differences were observed between men and women. The increase in risk was restricted to ischemic strokes (odds ratio IVvsI quartile , 2.13; 95% confidence interval, 1.10–4.12; fully adjusted model), whereas high levels of TF were not associated with the risk of hemorrhagic stroke (odds ratio IVvsI quartile , 1.12; 95% confidence interval, 0.49–2.55; fully adjusted model).

Conclusions—

Our data provide evidence that elevated levels of circulating TF are potential risk factors for ischemic strokes.

Breast cancer phenotypes regulated by tissue factor-factor VII pathway: Possible therapeutic targets

Breast cancer is a leading cause of cancer death in women, worldwide. Fortunately, breast cancer is relatively chemosensitive, with recent advances leading to the development of effective therapeutic strategies, significantly increasing disease cure rate. However, disease recurrence and treatment of cases lacking therapeutic molecular targets, such as epidermal growth factor receptor 2 and hormone receptors, referred to as triple-negative breast cancers, still pose major hurdles in the treatment of breast cancer. Thus, novel therapeutic approaches to treat aggressive breast cancers are essential. Blood coagulation factor VII (fVII) is produced in the liver and secreted into the blood stream. Tissue factor (TF), the cellular receptor for fVII, is an integral membrane protein that plays key roles in the extrinsic coagulation cascade. TF is overexpressed in breast cancer tissues. The TF-fVII complex may be formed in the absence of injury, because fVII potentially exists in the tissue fluid within cancer tissues. The active form of this complex (TF-fVIIa) may stimulate the expression of numerous malignant phenotypes in breast cancer cells. Thus, the TF-fVII pathway is a potentially attractive target for breast cancer treatment. To date, a number of studies investigating the mechanisms by which TF-fVII signaling contributes to breast cancer progression, have been conducted. In this review, we summarize the mechanisms controlling TF and fVII synthesis and regulation in breast cancer cells. Our current understanding of the TF-fVII pathway as a mediator of breast cancer progression will be also described. Finally, we will discuss how this knowledge can be applied to the design of future therapeutic strategies.

Genetic variation in the tissue factor gene is associated with clinical outcome in severe sepsis patients

Introduction

Activation of inflammation and coagulation was closely related and mutually interdependent in sepsis. Tissue factor (TF) and its endogenous inhibitor, tissue factor pathway inhibitor (TFPI) was the main regulators of the initiation of coagulation process. Altered plasma levels of TF and TFPI have been related to worse outcome in sepsis. The objective of this study was to investigate whether single nucleotide polymorphisms (SNPs) in the TF and TFPI genes were associated with risk and outcome for patients with severe sepsis.

Methods

Seventeen SNPs in TF and TFPI were genotyped in samples of sepsis (n =577) and severe sepsis patients (n =476), and tested for association in this case–control collection. We then investigated correlation between the associated SNPs and the mRNA expression, and protein level of the corresponding gene. The mRNA levels of TF were determined using real-time quantitative reverse transcription-polymerase chain reaction and the soluble plasma levels of TF were measured using enzyme linked immunosorbent assay (ELISA) method.

Results

Association analysis revealed that three TF SNPs in perfect linkage disequilibrium, rs1361600, rs3917615 and rs958587, were significantly associated with outcome of severe sepsis. G allele frequency of rs1361600 in survivor patients was significantly higher than that in nonsurvivor severe sepsis patients (P =4.91 × 10^-5, odds ratio (OR) =0.48, 95% confidence interval (CI) 0.33 to 0.69). The association remained significant after adjustment for covariates in multiple logistic regression analysis and for multiple comparisons. Lipopolysaccharide-induced TF-mRNA expression levels in peripheral blood mononuclear cells from subjects carrying rs1361600 AG and GG genotypes, were significantly lower than those subjects carrying AA genotype (P =0.0012). Moreover, severe sepsis patients of GG and GA genotypes showed lower serum levels of TF than patients with AA genotype (P_adj =0.02). The plasma levels of TF were also associated with outcome of severe sepsis patients (P_adj =0.01). However, genotype and allele analyses did not show any significant difference between sepsis and severe sepsis patients.

Conclusions

Our findings indicate that common genetic variation in TF was significantly associated with outcome of severe sepsis in Chinese Han population.

Electronic supplementary material

The online version of this article (doi:10.1186/s13054-014-0631-9) contains supplementary material, which is available to authorized users.

Genetic background and risk of postpartum haemorrhage: results from an Italian cohort of 3219 women

Postpartum haemorrhage (PPH) is a leading cause of maternal mortality, particularly in the developing countries, and of severe maternal morbidity worldwide. To investigate the impact of genetic influences on postpartum haemorrhage, in association with maternal and intrapartum risk factors, using a candidate gene approach. All women (n = 6694) who underwent a vaginal delivery at the Obstetric Unit of a large University hospital in Milan (Italy) between July 2007 and September 2009 were enrolled. The first consecutive 3219 women entered the genetic study. Postpartum haemorrhage was defined as ≥500 mL blood loss. Eight functional polymorphisms in seven candidate genes were chosen because of their potential role in predisposing to or protecting from haemorrhagic conditions: tissue factor (F3), factor V (F5), tissue factor pathway inhibitor (TFPI), platelet glycoprotein Ia/IIa (ITGA2), prothrombin (F2), platelet glycoproteins Ibα (GP1BA) and angiotensin-converting enzyme (ACE). After correction for the already known PPH risk factors, only the promoter polymorphism of the tissue factor gene (F3 -603A>G) showed a significant association with PPH, the G allele exerting a protective effect (P = 0.00053; OR = 0.79, 95% CI = 0.69-0.90). The protective effect against PPH of the TF -603A>G polymorphism is biologically plausible since the G allele is associated with an increased protein expression and Tissue Factor is strongly represented in the placenta at term, particularly in decidual cells of maternal origin.

von Willebrand factor genetic variant associated with hematoma expansion after intracerebral hemorrhage

BACKGROUND

Hematoma expansion, the leading cause of neurologic deterioration after intracerebral hemorrhage (ICH), remains one of the few modifiable risk factors for poor outcome. In the present study, we explored whether common genetic variants within the hemostasis pathway were related to hematoma expansion during the acute period after ICH.

METHODS

Patients with spontaneous ICH who were admitted to the institutional Neuro-ICU between 2009 and 2011 were enrolled in the study, and clinical data were collected prospectively. Hematoma size was measured in patients admitted on or before postbleed day 2. Baseline models for hematoma growth were constructed using backwards stepwise logistic regression. Genotyping of single-nucleotide polymorphisms for 13 genes involved in hemostasis was performed, and the results were individually included in the above baseline models to test for independent association of hematoma expansion.

RESULTS

During the study period, 82 patients were enrolled in the study and had complete data. The mean age was 65.9 ± 14.9 years, and 38% were female. Only von Willebrand factor was associated with absolute and relative hematoma growth in univariate analysis (P < .001 and P = .007, respectively); von Willebrand factor genotype was independently predictive of relative hematoma growth but only approached significance for absolute hematoma growth (P = .002 and P = .097, respectively).

CONCLUSIONS

Our genomic analysis of various hemostatic factors identified von Willebrand factor as a potential predictor of hematoma expansion in patients with ICH. The identification of von Willebrand factor single-nucleotide polymorphisms may allow us to better identify patients who are at risk for hematoma enlargement and will benefit the most from treatment. The relationship of von Willebrand factor with regard to hematoma enlargement in a larger population warrants further study.

Significant associations of the rs2943634 (2q36.3) genetic polymorphism with adiponectin, high density lipoprotein cholesterol and ischemic stroke

BACKGROUND

rs2943634 C/A single nucleotide polymorphism (SNP), located in a non coding region of chromosome 2q36.3, has been associated with coronary artery disease in two genome wide association studies. Our goal was to investigate its relation with myocardial infarction (MI) and ischemic stroke (IS), as well as with 12 intermediate risk phenotypes, in a population-based prospective cohort study.

METHODS

rs2943634 was genotyped in a case-cohort study including a random sample of 1891 individuals (subcohort) and all incident MI (n=211) and IS (n=144) cases during a mean follow-up of 8.2±2.2years, nested within the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort comprising 27,548 middle-aged men and women.

RESULTS

rs2943634 minor allele (A) was associated in an additive fashion with lower risk of IS but not with MI [hazard ratio (HR)=0.66; 95% confidence interval (CI): 0.50-0.87; P=0.003; HR=1.02; 95% CI: 0.82-1.28; P=0.83 respectively, for the age and sex adjusted model]. Furthermore, it was related to slightly higher levels of plasma adiponectin [CC 6.94, CA 7.27, AA 7.86μg/ml, P=0.0002] and high density lipoprotein (HDL)-cholesterol (CC 52.08, CA 53.05 and AA 55.27mg/dl, P=0.002), based on additive models. Adjustment for adiponectin and HDL-cholesterol did not attenuate the association between the SNP and IS risk. In contrast, adjustment for adiponectin abolished the association between the SNP and HDL-cholesterol and adjustment for HDL-cholesterol attenuated the association between the SNP and adiponectin.

CONCLUSIONS

Our findings suggest that rs2943634 is associated with IS risk and with plasma levels of HDL-cholesterol and adiponectin in this German population. Further investigations are needed to confirm these results and to clarify the mechanisms underlying the association.

Meta-analysis of haplotype-association studies: comparison of methods and empirical evaluation of the literature

Background

Meta-analysis is a popular methodology in several fields of medical research, including genetic association studies. However, the methods used for meta-analysis of association studies that report haplotypes have not been studied in detail. In this work, methods for performing meta-analysis of haplotype association studies are summarized, compared and presented in a unified framework along with an empirical evaluation of the literature.

Results

We present multivariate methods that use summary-based data as well as methods that use binary and count data in a generalized linear mixed model framework (logistic regression, multinomial regression and Poisson regression). The methods presented here avoid the inflation of the type I error rate that could be the result of the traditional approach of comparing a haplotype against the remaining ones, whereas, they can be fitted using standard software. Moreover, formal global tests are presented for assessing the statistical significance of the overall association. Although the methods presented here assume that the haplotypes are directly observed, they can be easily extended to allow for such an uncertainty by weighting the haplotypes by their probability.

Conclusions

An empirical evaluation of the published literature and a comparison against the meta-analyses that use single nucleotide polymorphisms, suggests that the studies reporting meta-analysis of haplotypes contain approximately half of the included studies and produce significant results twice more often. We show that this excess of statistically significant results, stems from the sub-optimal method of analysis used and, in approximately half of the cases, the statistical significance is refuted if the data are properly re-analyzed. Illustrative examples of code are given in Stata and it is anticipated that the methods developed in this work will be widely applied in the meta-analysis of haplotype association studies.