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

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 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

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 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.

The Role of Surgery in IDH-Wild-Type Lower-Grade Gliomas: Threshold at a High Extent of Resection Should be Pursued

Neurosurgery ◽  
2021 ◽  
Author(s):  
Peng Wang ◽  
Chen Luo ◽  
Peng-jie Hong ◽  
Wen-ting Rui ◽  
Shuai Wu
Keyword(s):  
Cox Regression ◽  
Progression Free Survival ◽  
Extent Of Resection ◽  
Lower Grade ◽  
Wild Type ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Lower Grade Glioma ◽  
Clinical Benefits

Abstract BACKGROUND While maximizing extent of resection (EOR) is associated with longer survival in lower-grade glioma (LGG) patients, the number of cases remains insufficient in determining a EOR threshold to elucidate the clinical benefits, especially in IDH-wild-type LGG patients. OBJECTIVE To identify the effects of EOR on the survival outcomes of IDH-wild-type LGG patients. METHODS IDH-wild-type LGG patients were retrospectively reviewed. The effect of EOR and other predictor variables on overall survival (OS) and progression-free survival (PFS) was analyzed using Cox regression models and the Kaplan-Meier method. RESULTS A total of 94 patients (median OS: 48.9 mo; median follow-up: 30.6 mo) were included in this study. In the multivariable Cox regression analysis, postoperative residual volume was associated with prolonged OS (HR = 2.238; 95% confidence interval [CI], 1.130-4.435; P = .021) and PFS (HR = 2.075; 95% CI, 1.113-3.869; P = .022). Thresholds at a minimum EOR of 97.0% or a maximum residue of 3.0 cm3 were necessary to impact OS positively. For the telomerase reverse transcriptase (TERT)p-wild-type group, such an association was absent. Significant differences in survival existed between the TERTp-wild-type and mutant patients who underwent relatively incomplete resections (residual ≥2.0 cm3 + TERTp wild type: median OS of 62.6 mo [95% CI: 39.7-85.5 mo]; residual ≥2.0 cm3 + TERTp mutant: median OS of 20.0 mo [95% CI:14.6-25.4 mo]). CONCLUSION Our results support the core role of maximal safe resection in the treatment of IDH-wild-type LGGs, especially for IDH-wild-type + TERTp-mutant LGGs. Importantly, the survival benefits of surgery could only be elucidated at a high EOR cut-off point.

The role of serum carcinoembryonic antigen in predicting objective responses to chemotherapy and overall survival in patients with non-small cell lung cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e18084-e18084
Author(s):  
Hongbing Liu
Keyword(s):  
Protective Factor ◽  
Cox Regression ◽  
Rank Test ◽  
Small Cell Lung ◽  
Baseline Serum ◽  
Log Rank Test ◽  
Kaplan Meier ◽  
Serum Cea ◽  
Nsclc Patients

e18084 Background: Previous studies indicated the carcinoembryonic antigen (CEA) could predict the therapeutic objective response (OR) and overall survival (OS) of patients with cancers, including non-small cell lung cancer (NSCLC). However, the role it could play in evaluating therapeutic responses and OS in patients with NSCLC requires further elucidation. Herein, we investigated the potential role of CEA in predicting OR and OS in patients with NSCLC. Methods: 689 patients with NSCLC were enrolled between January 2000 and August 2011. The correlations between the CEA levels and OR or OS were examined via statistical analyses including the chi-squared test, logistical regression, paired-samples t-test, receiver operator characteristic curve, Kaplan-Meier survival analysis, log-rank test and Cox regression model. Results: The calculated cut-off for predicting an OR to chemotherapy in patients with NSCLC was a reduction of 5.28% in serum CEA. This value demonstrated a sensitivity of 61.3% and a specificity of 62.4%. Serum CEA levels significantly decreased after two cycles of chemotherapy in NSCLC patients (t = 2.196, P = 0.031). The Kaplan-Meier survival analysis indicated no significant correlation between baseline CEA and OS (log rank test =0.079). However, according to the Cox regression analysis the number of distant metastatic organs (=1 and ≥2) was the independent risk factor of the OS (P = 0.026; P =0.003), and the cycle numbers of chemotherapy was the protective factor for OS in patients with NSCLC (P=0.011).More importantly, baseline serum CEA was significantly associated with lung adenocarcinoma and adenosquamous subtypes (P = 0.014; P = 0.017, respectively). Conclusions: Our study shows that baseline serum CEA was significantly associated with lung adenocarcinoma and adenosquamous subtypes. While the baseline level of serum CEA was not a prognostic factor, the post-treatment reduction of serum CEA level can predict the OR in patients with NSCLC,. The number of chemotherapy cycles was the independent protective factor, while the numbers of distant metastatic organs was the independent risk factor for NSCLC patients’ OS.

scholarly journals Genetic variants in MIR17HG affect the susceptibility and prognosis of glioma in a Chinese Han population

2020 ◽  
Author(s):  
Jigao Feng ◽  
Yibin Ouyang ◽  
Dedong Xu ◽  
Qinglong He ◽  
Dayuan Liu ◽  
...  
Keyword(s):  
Progression Free Survival ◽  
Chinese Han Population ◽  
Migration And Invasion ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Han Population ◽  
Kaplan Meier ◽  
Hazard Ratios ◽  
The Relationship

Abstract Background: lncRNA MIR17HG was upregulated in glioma, and participated in promoting proliferation, migration and invasion of glioma. However, the role of MIR17HG polymorphisms in the occurrence and prognosis of glioma is still unclear.Methods: In the study, 592 glioma patients and 502 control subjects were recruited. Agena MassARRAY platform was used to detect the genotype of MIR17HG polymorphisms. Logistic regression analysis was used to evaluate the relationship between MIR17HG single nucleotide polymorphisms (SNPs) and glioma risk by odds ratio (OR) and 95% confidence intervals (CIs). Kaplan–Meier curves, Cox hazards models were performed for assessing the role of these SNPs in glioma prognosis by hazard ratios (HR) and 95% CIs.Results: We found that rs7318578 (OR = 2.25, p = 3.18´10-5) was significantly associated with glioma susceptibility in the overall participants. In the subgroup with age < 40 years, rs17735387 (OR = 1.53, p = 9.05´10-3) and rs7336610 (OR = 1.35, p = 0.016) were related to the higher glioma susceptibility. More importantly, rs17735387 (HR = 0.82, log-rank p = 0.026) were associated with the longer survival of glioma patients. The GA genotype of rs17735387 had a better overall survival (HR = 0.75, log-rank p = 0.013) and progression free survival (HR = 0.73, log-rank p = 0.032) in patients with Ⅰ-Ⅱ glioma. We also found that rs72640334 was related to the poor prognosis (HR = 1.49, Log-rank p = 0.035) in female patients. In the subgroup of patients with age ³ 40 years, rs17735387 was associated with a better prognosis (HR = 0.036, Log-rank p = 0.002).Conclusion: Our study firstly reported that MIR17HG rs7318578 was a risk factor for glioma susceptibility and rs17735387 was associated with the longer survival of glioma among Chinese Han population, which might help to enhance the understanding of MIR17HG gene in gliomagenesis.

scholarly journals Genetic variants in MIR17HG affect the susceptibility and prognosis of glioma in a Chinese Han population

2020 ◽  
Author(s):  
Jigao Feng ◽  
Yibin Ouyang ◽  
Dedong Xu ◽  
Qinglong He ◽  
Dayuan Liu ◽  
...  
Keyword(s):  
Progression Free Survival ◽  
Chinese Han Population ◽  
Migration And Invasion ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Han Population ◽  
Kaplan Meier ◽  
Hazard Ratios

Abstract BackgroundlncRNA MIR17HG was upregulated in glioma, and participated in promoting proliferation, migration and invasion of glioma. However, the role of MIR17HG polymorphisms in the occurrence and prognosis of glioma is still unclear.MethodsIn the study, 592 glioma patients and 502 control subjects were recruited. Agena MassARRAY platform was used to detect the genotype of MIR17HG polymorphisms. Logistic regression analysis was used to evaluate the relationship between MIR17HG single nucleotide polymorphisms (SNPs) and glioma risk by odds ratio (OR) and 95% confidence intervals (CIs). Kaplan–Meier curves, Cox hazards models were performed for assessing the role of these SNPs in glioma prognosis by hazard ratios (HR) and 95% CIs.ResultsWe found that rs7318578 (OR = 2.25, p = 3.18x10-5) was significantly associated with glioma susceptibility in the overall participants. In the subgroup with age < 40 years, rs17735387 (OR = 1.53, p = 9.05x10-3) and rs7336610 (OR = 1.35, p = 0.016) were related to the higher glioma susceptibility. More importantly, rs17735387 (HR = 0.82, log-rank p = 0.026) were associated with the longer survival of glioma patients. The GA genotype of rs17735387 had a better overall survival (HR = 0.75, log-rank p = 0.013) and progression free survival (HR = 0.73, log-rank p = 0.032) in patients with Ⅰ-Ⅱ glioma. We also found that rs72640334 was related to the poor prognosis (HR = 1.49, Log-rank p = 0.035) in female patients. In the subgroup of patients with age ≥ 40 years, rs17735387 was associated with a better prognosis (HR = 0.036, Log-rank p = 0.002).ConclusionOur study firstly reported that MIR17HG rs7318578 was a risk factor for glioma susceptibility and rs17735387 was associated with the longer survival of glioma among Chinese Han population, which might help to enhance the understanding of MIR17HG gene in gliomagenesis. In subsequent studies, we will continue to collect samples and follow up to further validate our findings and further explore the function of these MIR17HG SNPs in glioma in a larger sample size.

scholarly journals The role of radiotherapy and chemotherapy in adult optic nerve gliomas: a SEER-based analysis

2021 ◽  
Author(s):  
Rong Huang ◽  
Yanlin Huang ◽  
Jinyun Su ◽  
Heng Li ◽  
Zhong Liu ◽  
...  
Keyword(s):  
Cox Regression ◽  
Tumor Grade ◽  
Adult Patients ◽  
Age At Diagnosis ◽  
Low Grade ◽  
High Grade ◽  
Grade Group ◽  
Kaplan Meier ◽  
The Central Nervous System

Abstract PurposeOptic nerve gliomas (ONGs) are uncommon tumors of the central nervous system in adults. The aim of this study was to define their characteristics, prognostic factors, and the impacts of adjuvant radiotherapy (RT) and chemotherapy on outcomes.MethodsAdult patients (age ≥ 18 years) with ONGs from the Surveillance, Epidemiology, and End Results (SEER) database were included. Univariate and multivariate Cox regression models were utilized to analyze the factors associated with survival. Kaplan-Meier method was used to evaluate the impacts of adjuvant therapies on overall survival (OS).ResultsA total of 179 adult patients diagnosed with ONGs were identified between 1991 and 2016, with a median follow-up period of 64.0 months. The median age at diagnosis was 41.0 years. After excluding 18 patients with unknown information, the remaining patients included 142 (88.2%) low-grade tumors and 19 (11.8%) high-grade tumors. Multivariate analysis showed age at diagnosis, tumor grade, adjuvant chemotherapy were significant factors for OS. The 5-year OS rates for patients with low- and high-grade ONGs were 85.5% and 10.5%, respectively. The employment of adjuvant RT or chemotherapy would significantly shorten OS time in the low-grade group and could not prolong OS time in the high-grade group.ConclusionsThis is the largest retrospective study of adult ONGs up to date. The overall prognosis of high-grade ONGs in adult patients is still poor despite multi-modality treatments. Adjuvant RT or chemotherapy might not be considered in adult patients with low-grade ONGs unless the malignant transformation or aggressive progression has been confirmed.

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