scholarly journals Effects of the ANXA6 polymorphisms on glioma risk and patients prognosis

2019 ◽  
Author(s):  
Tuo Wang ◽  
Yao Sun ◽  
Zichao Xiong ◽  
Jiamin Wu ◽  
Xiaoying Ding ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Rank Test ◽  
Low Grade ◽  
Nucleotide Polymorphisms ◽  
Glioma Patient ◽  
Chinese Han ◽  
Cox Regression Analysis ◽  
Increased Risk ◽  
Glioma Risk

Abstract BACKGROUND Glioma is the most frequent malignant primary brain tumor, and the outcomes for patients with glioma remain poor. The purpose of this study is to explore the association between ANXA6 polymorphisms and glioma risk as well as the prognosis of glioma patients in the Chinese Han population.METHODS We selected nine single-nucleotide polymorphisms (SNPs) in ANXA6 which were genotyped by Agena MassARRAY from 593 glioma patients and 589 healthy controls. The odds ratio (OR) and 95% confidence interval (CI) were calculated by logistic regression analysis to evaluate the association SNPs with glioma risk. The association between polymorphisms and survival of glioma patient were evaluated using the log-rank test, Kaplan-Meier and Cox regression analysis. RESULTS: Overall analysis found that rs3762993 was significantly associated with an increased glioma risk. Stratification analysis found that rs11960458 was strongly associated with an increased risk of glioma in age >41; rs3762993 was also found to be associated an increased with glioma risk in age >41, ≤41, male and low-grade glioma; but rs4958892 was associated with a decreased risk of glioma in age>41 and male. Interestingly, rs11960458 and rs888988 were correlated with poor prognosis of glioma patient. Furthermore, age, extent of resection and chemotherapy were found to be key prognostic factors in survival of glioma patients.CONCLUSIONS In conclusion, our results indicated that ANXA6 polymorphisms were associated with glioma susceptibility and prognosis. Further studies are required to confirm the results and elucidate the mechanisms of the ANXA6 polymorphisms affect the glioma risk and prognosis.

scholarly journals Impact of AKAP6 polymorphisms on Glioma susceptibility and prognosis

BMC Neurology ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ming Zhang ◽  
Yonglin Zhao ◽  
Junjie Zhao ◽  
Tingqin Huang ◽  
Yuan Wu
Keyword(s):  
Regression Model ◽  
Cox Regression ◽  
High Grade Glioma ◽  
Rank Test ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Kaplan Meier ◽  
Increased Risk ◽  
Surgical Methods ◽  
The Impact

Abstract Purpose Glioma is the most common primary malignant brain tumor with high mortality and poor prognosis. Our aim was to clarify the correlation between Kinase-anchored protein 6 (AKAP6) gene polymorphisms and glioma susceptibility and prognosis in Chinese Han population. Methods Five single-nucleotide polymorphisms (SNPs) of AKAP6 were genotyped by Agena MassARRAY in 575 glioma patients and 500 healthy controls. Logistic regression model was utilized to calculate odds ratios (OR) and 95% confidence intervals (CI). The associations between polymorphisms and survival were assessed using the log-rank test, Kaplan-Meier analysis and Cox regression model. Results We found that rs2239647 polymorphism was strongly associated with an increased risk of glioma (OR = 1.90, p = 0.007) and a worse prognosis for glioma, especially in high-grade glioma (HR = 1.67, p = 0.034). Stratified analysis showed that rs2239647 increased the risk of glioma in female (OR = 1.62, p = 0.016). Whereas, rs4261436 (HR = 0.70, p = 0.045) and rs17522122 (HR = 0.75, p = 0.016) were associated with better prognosis of astrocytoma. In addition, we also found that surgical methods and chemotherapy are critical factors for the prognosis of glioma patients. Conclusions This study firstly provided evidence for the impact of AKAP6 polymorphisms on susceptibility and prognosis of glioma, suggesting AKAP6 variants might have potential roles in the etiology of glioma.

scholarly journals The Influence of NDRG1 Single Nucleotide Polymorphisms on Glioma Risk and Prognosis in Chinese Han Population

2021 ◽  
Author(s):  
Nan Li ◽  
Hangyu Shi ◽  
Pengfei Hou ◽  
Lu Gao ◽  
Yongqiang Shi ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Cox Regression ◽  
Chinese Han Population ◽  
Rank Test ◽  
Candidate Snps ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Single Nucleotide ◽  
Han Population ◽  
Glioma Risk

Abstract Background: glioma is a highly fatal malignant tumor with a high recurrence rate. We aimed to determine the association between single nucleotide polymorphisms (SNPs) of NDRG1 and glioma risk and prognosis in the Chinese Han population.Methods: 5 candidate SNPs were genotyped by Agena MassARRAY; logistic regression was used to analyze the association between SNPs and glioma risk; We used multi-factor dimensionality reduction to analyze the interaction of ‘SNP-SNP’; the prognosis analysis was performed by log-rank test, Kaplan–Meier analysis and Cox regression model.Results: our results showed that the rs3808599 was associated with the reduction of glioma risk in all participants (p = 0.024) and the participants ≤40 years old (p = 0.020). rs3802251 may reduce glioma risk in all participants (p = 0.008), the male (p = 0.033) or astrocytoma patients (p = 0.023). rs3779941 was associated with poor glioma prognosis in the all participants (p = 0.039) or astrocytoma patients (p = 0.038). We also found that the key factors for glioma prognosis may include surgical operation, radiotherapy and chemotherapy.Conclusion: this study is the first to find that NDRG1 gene polymorphisms may have a certain association with glioma risk or prognosis in the Chinese Han population.

scholarly journals Impact of AKAP6 Polymorphisms on Glioma Susceptibility and Prognosis

2019 ◽  
Author(s):  
Ming Zhang ◽  
Yonglin Zhao ◽  
Junjie Zhao ◽  
Tingqin Huang ◽  
Yuan Wu
Keyword(s):  
Regression Model ◽  
Cox Regression ◽  
High Grade Glioma ◽  
Rank Test ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Kaplan Meier ◽  
Increased Risk ◽  
Surgical Methods ◽  
The Impact

Abstract Purpose Glioma is the most common primary malignant brain tumor with high mortality and poor prognosis. Our aim was to clarify the correlation between AKAP6 gene polymorphisms and glioma susceptibility and prognosis in Chinese Han population. Methods Five single-nucleotide polymorphisms (SNPs) of AKAP6 were genotyped by Agena MassARRAY in 575 glioma patients and 500 healthy controls. Logistic regression model was utilized to calculate odds ratios (OR) and 95% confidence intervals (CI). The associations between polymorphisms and survival were assessed using the log-rank test, Kaplan-Meier analysis and Cox regression model. Results We found that rs2239647 polymorphism was strongly associated with an increased risk of glioma (OR = 1.90, p = 0.007) and a worse prognosis for glioma, especially in high-grade glioma (HR = 1.67, p = 0.034). Stratified analysis showed that rs2239647 increased the risk of glioma in female (OR = 1.62, p = 0.016). Whereas, rs4261436 (HR = 0.70, p = 0.045) and rs17522122 (HR = 0.75, p = 0.016) were associated with better prognosis of astrocytoma. In addition, we also found that surgical methods and chemotherapy are critical factors for the prognosis of glioma patients. Conclusions This study firstly provided evidence for the impact of AKAP6 polymorphisms on susceptibility and prognosis of glioma, suggesting AKAP6 variants might have potential roles in the etiology of glioma.

scholarly journals Circulating Lipopolysaccharides and Impaired Antioxidant Status in Patients With Atrial Fibrillation. Data From the ATHERO-AF Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Danilo Menichelli ◽  
Roberto Carnevale ◽  
Cristina Nocella ◽  
Vittoria Cammisotto ◽  
Valentina Castellani ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Antioxidant Status ◽  
Cox Regression ◽  
Rank Test ◽  
Low Grade ◽  
Cox Regression Analysis ◽  
Analysis Group ◽  
Increased Risk ◽  
Group 2 ◽  
Post Hoc

Objectives: Atrial fibrillation (AF) is characterized by an oxidative imbalance, which is associated with an increased risk of cardiovascular events (CVEs). It is unclear whether low grade endotoxemia may contribute to the impaired antioxidant status in AF patients. We investigated the relationship between circulating lipopolysaccharides (LPS) and antioxidant status in AF patients.Patients and Methods:Post-hoc analysis from the ongoing prospective observational cohort ATHERO-AF study including 907 patients. Antioxidant status was evaluated by the activity of glutathione peroxidase 3 (GPx3) and superoxide dismutase (SOD). Patients were divided into two groups to evaluate the risk of CVEs: (1) LPS below median and GPx3 above median (n = 254); (2) LPS above median and GPx3 below median (n = 263).Results: The mean age was 73.5 ± 8.3 years, and 43.1% were women. Median LPS and GPx3 were 50.0 pg/ml [interquartile range (IQR) 15–108] and 20.0 U/ml (IQR 10.0–34.0), respectively. Patients of Groups 2 were older, with a higher prevalence of heart failure. LPS above the median was associated with reduced GPx3 [Odds Ratio for LPS 1.752, 95% Confidence Interval (CI) 1.344–2.285, p < 0.001] and SOD (OR 0.525, 95%CI 0.403–0.683) activity after adjustment for CHA2DS2VASc score. In a mean follow-up of 54.0 ± 36.8 months, 118 CVEs occurred, 42 in Group 1 and 76 in Group 2 (Log-Rank test p = 0.001). At multivariable Cox regression analysis, Group 2 was associated with a higher risk of CVEs [Hazard Ratio (HR) 1.644, 95%CI 1.117–2,421, p = 0.012], along with age ≥ 75 years (HR 2.035, 95%CI 1.394–2.972, p < 0.001), diabetes (HR 1.927, 95%CI 1.280–2.900, p = 0.002), and previous cerebrovascular disease (HR 1.895, 95%CI 1.251–2.870, p = 0.003) and previous cardiovascular disease (HR 1.708, 95%CI 1.149–2.538, p = 0.008).Conclusions: Our study indicates that circulating LPS may contribute to impaired antioxidant status in patients with AF. Patients with coincidentally high LPS and reduced GPx3 activity showed the highest risk of CVEs.

scholarly journals Role of PVT1 Polymorphisms in the Glioma Susceptibility and Prognosis

2020 ◽  
Author(s):  
Xiaoying Ding ◽  
Yaqin Zhao ◽  
Haozheng Yuan ◽  
Yong Zhang ◽  
Ya Gao
Keyword(s):  
Cox Regression ◽  
Tumor Grade ◽  
Extent Of Resection ◽  
Recessive Model ◽  
Rank Test ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Kaplan Meier ◽  
Glioma Risk

Abstract Background: Genetic factors play a crucial role in the glioma risk and prognosis of glioma patients. To explore the role of PVT1 polymorphism in the susceptibility and survival of glioma in the Chinese Han population, we conducted a case-control study.Methods: The three single-nucleotide polymorphisms (SNPs) in PVT1 were genotyped using Agena MassARRAY from 575 patients with glioma and 500 healthy controls. We used the χ 2 test to analyze the differences in distribution of allele and genotype between the cases and controls. Odds ratio (OR) and 95% confidence interval (95% CI) were calculated by logistic regression analysis to evaluate the association SNPs with glioma risk. The effects of polymorphisms and clinical features on survival of glioma patients were evaluated using the log-rank test, Kaplan-Meier and Cox regression analysis.Results: We found that rs13255292 was associated with a decreased risk of glioma in the recessive model in overall or male; and rs4410871 was significantly associated with an increased the risk of glioma in age≤40 years old or female. Moreover, the extent of resection and chemotherapy were found to be key prognostic factors in survival of glioma patients. However, the gender, age, tumor grade, radiotherapy and PVT1 polymorphisms have no effect on prognosis of glioma patients.Conclusions: Our results indicated that PVT1 polymorphisms (rs13255292 and rs4410871) were associated with glioma susceptibility, but have no effect on prognosis of glioma patients. Further studies with large samples are required to confirm the results.

scholarly journals Impact of AKAP6 Polymorphisms on Glioma Susceptibility and Prognosis

2019 ◽  
Author(s):  
Ming Zhang ◽  
Yonglin Zhao ◽  
Junjie Zhao ◽  
Tingqin Huang ◽  
Xiaoye Guo ◽  
...  
Keyword(s):  
Regression Model ◽  
Cox Regression ◽  
High Grade Glioma ◽  
Rank Test ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Kaplan Meier ◽  
Increased Risk ◽  
Surgical Methods ◽  
The Impact

Abstract Purpose Glioma is the most common primary malignant brain tumor with high mortality and poor prognosis. Our aim was to clarify the correlation between AKAP6 gene polymorphisms and glioma susceptibility and prognosis in Chinese Han population. Methods Five single-nucleotide polymorphisms (SNPs) of AKAP6 were genotyped by Agena MassARRAY in 575 glioma patients and 500 healthy controls. Logistic regression model was utilized to calculate odds ratios (OR) and 95% confidence intervals (CI). The associations between polymorphisms and survival were assessed using the log-rank test, Kaplan-Meier analysis and Cox regression model. Results We found that rs2239647 polymorphism was strongly associated with an increased risk of glioma (OR = 1.90, p = 0.007) and a worse prognosis for glioma, especially in high-grade glioma (HR = 1.67, p = 0.034). Stratified analysis showed that rs2239647 increased the risk of glioma in female (OR = 1.62, p = 0.016). Whereas, rs4261436 (HR = 0.70, p = 0.045) and rs17522122 (HR = 0.75, p = 0.016) were associated with better prognosis of astrocytoma. In addition, we also found that surgical methods and chemotherapy are critical factors for the prognosis of glioma patients. Conclusions This study firstly provided evidence for the impact of AKAP6 polymorphisms on susceptibility and prognosis of glioma, suggesting AKAP6 variants might have potential roles in the etiology of glioma.

scholarly journals The Investigation of Associations between TP53 rs1042522, BBC3 rs2032809, CCND1 rs9344, EGFR rs2227983 Polymorphisms and Breast Cancer Phenotype and Prognosis

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1419
Author(s):  
Justina Bekampytė ◽  
Agnė Bartnykaitė ◽  
Aistė Savukaitytė ◽  
Rasa Ugenskienė ◽  
Erika Korobeinikova ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Cox Regression ◽  
Cancer Prognosis ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Cox Regression Analysis ◽  
Pcr Rflp ◽  
Oncological Diseases ◽  
Cancer Phenotype

Breast cancer is one of the most common oncological diseases among women worldwide. Cell cycle and apoptosis—related genes TP53, BBC3, CCND1 and EGFR play an important role in the pathogenesis of breast cancer. However, the roles of single nucleotide polymorphisms (SNPs) in these genes have not been fully defined. Therefore, this study aimed to analyze the association between TP53 rs1042522, BBC3 rs2032809, CCND1 rs9344 and EGFR rs2227983 polymorphisms and breast cancer phenotype and prognosis. For the purpose of the analysis, 171 Lithuanian women were enrolled. Genomic DNA was extracted from peripheral blood; PCR-RFLP was used for SNPs analysis. The results showed that BBC3 rs2032809 was associated with age at the time of diagnosis, disease progression, metastasis and death. CCND1 rs9344 was associated with tumor size, however an association resulted in loss of significance after Bonferroni correction. In survival analysis, significant associations were observed between BBC3 rs2032809 and OS, PFS and MFS. EGFR rs2227983 also showed some associations with OS and PFS (univariate Cox regression analysis). However, the results were in loss of significance (multivariate Cox regression analysis). In conclusion, BBC3 rs2032809 polymorphism was associated with breast cancer phenotype and prognosis. Therefore, it could be applied as potential markers for breast cancer prognosis.

scholarly journals Association of ST6GAL1 and CYP19A1 polymorphisms in the 3′-UTR with astrocytoma risk and prognosis in a Chinese Han population

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tuo Wang ◽  
Yao Sun ◽  
Zichao Xiong ◽  
Jiamin Wu ◽  
Xiaoying Ding ◽  
...  
Keyword(s):  
Cox Regression ◽  
Chinese Han Population ◽  
Low Grade ◽  
Central Nervous System Tumor ◽  
Chinese Han ◽  
Cox Regression Analysis ◽  
Han Population ◽  
Potential Biomarker ◽  
Codominant Model ◽  
System Tumor

Abstract Background Astrocytoma is a common type of central nervous system tumor. In this study, we investigated the correlation between ST6GAL1 and CYP19A1 polymorphisms and the risk and prognosis of astrocytoma. Methods A total of 365 astrocytoma patients and 379 healthy controls were genotyped using the Agena MassARRAY system. The correlation between ST6GAL1 and CYP19A1 variants and astrocytoma risk was calculated using logistic regression. The survival rate of patients with astrocytoma was analyzed to evaluate prognosis. Results We found that the ST6GAL1-rs2239611 significantly decreased the risk of astrocytoma in the codominant model (p = 0.044) and dominant model (p = 0.049). In stratified analyses, CYP19A1-rs2255192 might be associated with a higher risk of astrocytoma among the low-grade subgroup under recessive (p = 0.034) and additive (p = 0.030) models. However, CYP19A1-rs4646 had a risk-decreasing effect on the high-grade subgroup in the codominant model (p = 0.044). The results of Cox regression analysis showed that the CYP19A1-rs2239611 and -rs1042757 polymorphisms were significantly correlated with the prognosis of astrocytoma. Conclusion Our results suggest that ST6GAL1 and CYP19A1 genes may be a potential biomarker of genetic susceptibility and prognosis to astrocytoma in the Chinese Han population.

684 Cardiac troponins and adverse outcomes in European patients with atrial fibrillation: a report from the ESC-EHRA EORP atrial fibrillation general long-term registry

2021 ◽  
Vol 23 (Supplement_G) ◽  
Author(s):  
Marrco Vitolo ◽  
Vincenzo Livio Malavasi ◽  
Marco Proietti ◽  
Igor Diemberger ◽  
Laurent Fauchier ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Regression Analysis ◽  
Cox Regression ◽  
Adverse Outcomes ◽  
Cox Regression Analysis ◽  
Coronary Syndrome ◽  
Increased Risk ◽  
History Of ◽  
Cardiac Troponins

Abstract Aims Cardiac troponins (cTn) have been reported to be predictors for adverse outcomes in atrial fibrillation (AF), patients, but their actual use is still unclear. To assess the factors associated with cTn testing in routine clinical practice and to evaluate the association of elevated levels of cTn with adverse outcomes in a large contemporary cohort of European AF patients. Methods and results Patients enrolled in the ESC-EHRA EORP-AF General Long-Term Registry were stratified into three groups according to cTn levels as (i) cTn not tested, (ii) cTn in range (≤99th percentile), and (iii) cTn elevated (>99th percentile). The composite outcome of any thromboembolism/any acute coronary syndrome (ACS)/cardiovascular (CV) death, defined as major adverse cardiovascular events (MACE) and all-cause death were the main endpoints. 10 445 (94.1%) AF patients were included in this analysis [median age 71 years, interquartile range (IQR): 63–77; males 59.7%]. cTn were tested in 2834 (27.1%). Overall, cTn was elevated in 904 (8.7%) and in-range in 1930 (18.5%) patients. Patients in whom cTn was tested tended to be younger (P < 0.001) and more frequently presenting with first detected AF and atypical AF-related symptoms (i.e. chest pain, dyspnoea, or syncope) (P < 0.001). On multivariable logistic regression analysis, female sex, in-hospital enrollment, first-detected AF, CV risk factors, history of coronary artery disease (CAD), and atypical AF symptoms were independently associated with cTn testing. After a median follow-up of 730 days (IQR: 692–749), 957 (9.7%) composite endpoints occurred while all-cause death was 9.5%. Kaplan–Meier analysis showed a higher cumulative risk for both outcomes in patients with elevated cTn levels (Figure) (Log Rank tests, P < 0.001). On adjusted Cox regression analysis, elevated levels of cTn were independently associated with a higher risk for MACE [hazard ratio (HR): 1.74, 95% confidence interval (CI): 1.40–2.16] and all-cause death (HR 1.45, 95% CI: 1.21–1.74). Elevated levels of cTn were independently associated with a higher occurrence of MACE, all-cause death, any ACS, CV death and hospital readmission even after the exclusion of patients with history of CAD, diagnosis of ACS at discharge, those who underwent coronary revascularization during the admission and/or who were treated with oral anticoagulants plus antiplatelet therapy. Conclusions Elevated cTn levels were independently associated with an increased risk of all-cause mortality and adverse CV events, even after exclusion of CAD patients. Clinical factors that might enhance the need to rule out CAD were associated with cTn testing.

Abstract P254: Daytime Napping is Associated With Incident Stroke in Community

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Xuting Jin ◽  
Bin Yan ◽  
Ruohan Li ◽  
Ya Gao ◽  
Jingjing Zhang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Life Quality ◽  
Health Study ◽  
Sleep Habits ◽  
Community Based ◽  
Cox Regression Analysis ◽  
Increased Risk ◽  
Registration Number ◽  
The Relationship

Introduction: There are conflicting reports regarding whether daytime napping is a risk factor for cardiovascular events. The purpose of this study was to investigate the relationship between daytime napping and incident stroke within a community-based cohort study. Hypothesis: We assessed the hypothesis that the duration and the frequency of daytime napping may be associated with incident stroke. Methods: Participants without previous stroke were enrolled in the present prospective study from the Sleep Heart Health Study (registration number, NCT00005275). Daytime napping were assessed with a self-reported Sleep Habits Questionnaire. Duration of daytime napping was divided into the following categories: no naps, 0-30 min, 31-60 min, or >60 min. Frequency of naps were categorised as: no naps, 1-2 times/week, 3-4 times/week, 5-6 times/week, or daily. After combining nap duration and frequency, participants were further divided into groups with regular long naps (≥5 times per week and >30 min), regular short naps (≥5 times per week and ≤30 min), irregular naps or no naps. Subsequently, participants were followed up until the first stroke occurred between the date of the completed questionnaire and the final censoring date. Cox regression analysis was used to estimate the relationship between daytime napping and incident stroke. Results: The present study enrolled 4757 participants, of which 220 participants (4.6%) experienced incident stroke during an average follow-up of 10.6 years. There was a higher rate of stroke among participants taking longer and more frequent naps than others. Multivariate Cox regression analysis indicated that, when compared with participants with no naps, those with a nap duration of ≥60 min or of 31-60 min had a higher risk of stroke (HR, 2.182; 95% CI, 1.443-3.301; HR, 1.594; 95% CI, 1.003-2.531, respectively). Moreover, there was an increased risk of stroke among participants taking daily daytime naps (HR, 1.563; 95% CI, 1.059-2.307) or napping 5-6 times per week (HR, 1.548; 95% CI, 1.026-2.335) than those with no naps. And after combining nap duration and frequency, regular long naps and regular short naps were also associated with higher risk of incident stroke (HR, 1.903; 95% CI, 1.182-3.065; HR, 1.451; 95% CI, 1.010-2.084, respectively). Conclusions: In conclusion, daytime napping of long duration and high frequency may increase the risk of incident stroke in community. Modification of sleep habits may improve the life quality among those elderly community-based population.

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