Irreversible electroporation for liver cancer ablation: A meta analysis

2021 ◽  
Author(s):  
Yu Maoli ◽  
Sheng Li
Keyword(s):  
Liver Cancer ◽  
Meta Analysis ◽  
Irreversible Electroporation ◽  
Cancer Ablation

scholarly journals Population attributable risk of aflatoxin-related liver cancer: Systematic review and meta-analysis

2012 ◽  
Vol 48 (14) ◽  
pp. 2125-2136 ◽  
Author(s):  
Yan Liu ◽  
Chung-Chou H. Chang ◽  
Gary M. Marsh ◽  
Felicia Wu
Keyword(s):  
Systematic Review ◽  
Liver Cancer ◽  
Meta Analysis ◽  
Population Attributable Risk ◽  
Attributable Risk

scholarly journals The prognostic significance of pretreatment serum γ-glutamyltranspeptidase in primary liver cancer: a meta-analysis and systematic review

2018 ◽  
Vol 38 (6) ◽  
Author(s):  
Yang Ou ◽  
Junwei Huang ◽  
Liping Yang
Keyword(s):  
Liver Cancer ◽  
Primary Liver Cancer ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Prognostic Impact ◽  
Free Survival ◽  
Effect Measure ◽  
Pretreatment Serum ◽  
Disease Free

Aim: To assess the prognostic value of the pretreatment serum γ-glutamyltranspeptidase (GGT) level in patients with primary liver cancer (PLC). Methods: Relevant studies were systematically searched online on Web of Science, PubMed, and Embase databases published until 9 October 2018. The end points were overall survival (OS), recurrence-free survival (RFS), and disease-free survival (DFS). Meta-analysis was conducted using hazard ratio (HR), and its 95% confidence interval (CI) as effect measure. Results: A total of 33 eligible studies with 9238 patients with PLC were included in this meta-analysis. The synthesized analysis showed that that higher serum GGT level was significantly related to poorer OS (HR: 1.79, 95% CI: 1.66–1.93, P<0.01), RFS (HR: 1.60, 95% CI: 1.46–1.77, P<0.01), and DFS (HR: 1.52, 95% CI: 1.33–1.73, P<0.01) of patients with PLC. Subgroup analyses demonstrated that the negative prognostic impact of higher serum GGT level on OS and RFS was still of significance regardless of ethnicity, pathological type, sample size, cut-off value, first-line treatment, and analysis type. Conclusion: The pretreatment serum GGT might be a predictive factor of poor prognosis for PLC patients.

scholarly journals The association of POLR2E rs3787016 polymorphism and cancer risk: a Chinese case–control study and meta-analysis

2018 ◽  
Vol 38 (6) ◽  
Author(s):  
Bifeng Chen ◽  
Shang Wang ◽  
Guangxin Ma ◽  
Jin Han ◽  
Jingli Zhang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Lung Cancer ◽  
Liver Cancer ◽  
Cancer Risk ◽  
Cancer Patients ◽  
Case Control Study ◽  
Meta Analysis ◽  
Case Control ◽  
A Genome ◽  
Control Study

How single nucleotide polymorphisms in long non-coding RNAs are involved in cancer susceptibility remains poorly understood. We hypothesized that polymerase II polypeptide E (POLR2E) rs3787016 polymorphism, identified in a genome-wide association study of prostate cancer, might be a common genetic risk factor for cancer risk. To address this issue, we here conducted a case–control study to investigate the association of POLR2E rs3787016 polymorphism with risk of liver and lung cancer (including 800 normal controls, 480 liver cancer patients, and 550 lung cancer patients), followed by a meta-analysis. The genotyping was performed by polymerase chain reaction-restriction fragment length polymorphism and confirmed by sequencing. Although no significant association was found for rs3787016 with risk of liver or lung cancer, the further stratified analysis identified that rs3787016 contributed to liver cancer risk particularly for over than 60 years individuals who drink. Moreover, the meta-analysis demonstrated that rs3787016 was associated with overall cancer risk and prostate cancer risk. Collectively, the POLR2E rs3787016 polymorphism may be a valuable biomarker for cancer predisposition.

scholarly journals Value of Biomarkers in Liver Cancer EMT model under different interventions：A meta-analysis

2021 ◽  
Author(s):  
Jing Yan ◽  
Shuli Zou ◽  
Bei Xie ◽  
Ye Tian ◽  
Zhiheng Peng ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Epithelial Mesenchymal Transition ◽  
Gene Knockout ◽  
Meta Analysis ◽  
China National Knowledge Infrastructure ◽  
Mesenchymal Transition ◽  
Tumor Microenvironments ◽  
Genetic Intervention ◽  
E Cadherin

Abstract Background There are various interventions to establish the Liver cancer epithelial-mesenchymal transition (EMT) models. However, the ideal biomarkers for unique model are not well established. Further studies are necessary to evaluation of effective EMT biomarkers under different interventions in vitro studies. A meta-analysis was performed to evaluate the performance of different biomarkers in HepG2 cells during EMT under multiple interventions. Methods PubMed, Web of Science, Embase, the China National Knowledge Infrastructure (CNKI), the China Biology Medicine disc (CBM), Wan Fang Data, and VIP databases were systematically searched from inception to June 14, 2020 by two independent reviewers. Results A total of 58 studies were included in the meta-analysis. Our study showed that E-cadherin responds well to the intervention of medication, genetic intervention, gene knockout/knockdown, hypoxia, and other tumor microenvironments, as well as non-coding RNA (ncRNA) overexpression and silencing. N-cadherin can effectively evaluate the intervention effect of medication, genetic intervention, hypoxia and other tumor microenvironments, as well as ncRNA overexpression. Vimentin reflects the effects of medication, pro-EMT genetic intervention and gene knockout/knockdown, anti-EMT ncRNA overexpression and anti-EMT ncRNA silencing and hypoxia. Snail only responds to the intervention of anti-EMT genetic intervention and gene knockout/knockdown, tumor microenvironments other than hypoxia, anti-EMT ncRNA overexpression and ncRNA silencing. Conclusions Our results shows that some medicine, some gene, microenvironment and some ncRNA can effectively induce/inhibit EMT process. E-cadherin, N-cadherin, Vimentin and Snail are effective biomarkers during this process. They respond differently to different intervention. Therefore, different biomarkers should be chosen under different intervention based on their performance.

scholarly journals Waist Circumference and Risk of Liver Cancer: A Systematic Review and Meta-Analysis of over 2 Million Cohort Study Participants

Liver Cancer ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 6-14 ◽  
Author(s):  
Jamal Rahmani ◽  
Hamed Kord Varkaneh ◽  
Vasileios  Kontogiannis ◽  
Paul M. Ryan ◽  
Hiba Bawadi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cohort Study ◽  
Waist Circumference ◽  
Liver Cancer ◽  
Meta Analysis ◽  
Study Participants
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