Meta-Analysis of Microarrays: Diagnostic value of microRNA-21 as a Biomarker for Lung Cancer

2015 ◽  
Vol 30 (3) ◽  
pp. 282-285 ◽  
Author(s):  
Xinxin Meng ◽  
Chen Xiao ◽  
Yuguang Zhao ◽  
Lin Jia ◽  
Yang Tang ◽  
...  

Background: MicroRNA-21 (miR-21) has previously been demonstrated as a potential biomarker in diagnosis of various human tumors. This meta-analysis was performed to evaluate the possibility of miR-21 as a biomarker for early detection of lung cancer. Methods: Relevant lung cancer-related miRNA microarray datasets were collected from the NCBI Gene Expression Omnibus (GEO) database and EBI ArrayExpress database up to February 2014. Quality control of the output data was estimated using Limma package and ExiMiR package in R. Standardized mean difference (SMD) with 95% confidence intervals (CIs) from selected datasets was pooled. Heterogeneity was assessed using Cochran's Q test and the I2 statistic, and a p value <0.0.05 or I2 >50% was defined as significant heterogeneity. Furthermore, sensitivity analysis was conducted to evaluate the stability of the pooled results. Four miRNA datasets (GSE24704, GSE17681, GSE27486 and GSE40738) from blood samples were selected, including 153 lung cancer patients and 109 healthy people. Results: The pooled results generated by random-effects model revealed that no significant difference was observed between case and control groups (SMD = 0.58; 95% CI, −0.04 to 1.19; p = 0.07) with significant heterogeneity (p = 0.0032, I2 = 78.2%; p = 0.06). Sensitivity analysis indicated that the results of the meta-analysis were stable. Conclusions: MiR-21 expression levels in whole blood and peripheral blood cells did not show significant differences between lung cancer patients and healthy controls, and it might be ineffective to measure miR-21 expression to achieve an early diagnosis of lung cancer.

2021 ◽  
Author(s):  
Hongbin Zhou ◽  
Zhewen Chen ◽  
Ying Chen ◽  
Jiuke Li ◽  
Sa Ye

Abstract Background: Nitric oxide (NO) plays an important role in lung cancer. However, the results of previous studies about NO in the occurrence, progress and therapy were not consistent. Therefore, we conducted a meta-analysis to evaluate the relationship between NO and lung cancer.Method: We carried out comprehensive search in the databases, and collected related studies. The data of fraction of exhaled nitric oxide (FeNO) or blood NO in different populations (lung cancer patients and control subjects) and different time points (before therapy and after therapy) were extracted by two investigators. A random effect model was applied to analyze the differences of FeNO and blood NO in different populations and different time points. To further compare NO level of each subgroup with different pathological types and different stages, a network meta-analysis (NMA) was performed.Results: 50 studies including 2551 cases and 1691 controls were adopted in this meta-analysis. The FeNO (SMD 3.01, 95% CI 1.89-4.13, p < 0.00001) and blood NO (SMD 1.34, 95% CI 0.84-1.85, p < 0.00001) level in lung cancer patients was much higher than that in control subjects. NMA model indicated blood NO level in each cancer type except SCLC was higher than that in control patients. There was no significant difference of blood NO level among four kinds of lung cancer patients. Blood NO level in LCC patients (SUCRA=83.5%) was the highest. Blood NO level in advanced stage but not early stage was higher than that in control subjects. Patients in advanced stage (SUCRA=95.5%) had the highest blood NO level. No significant difference of FeNO (SMD -0.04, 95% CI -0.46-0.38, p > 0.05) and blood NO level (SMD -0.36, 95% CI -1.08-0.36, p > 0.05) was observed between pretreatment and posttreatment in all patients. However, FeNO level elevated (SMD 0.28, 95% CI 0.04-0.51, p = 0.02) and blood NO level decreased in NSCLC patients (SMD -0.95, 95% CI -1.89-0.00, p = 0.05) after therapy. Conclusion: FeNO and blood NO level would contribute to diagnosis of lung cancer and evaluation of therapy effect, especially for NSCLC patients.


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongbin Zhou ◽  
Jiuke Li ◽  
Zhewen Chen ◽  
Ying Chen ◽  
Sa Ye

Abstract Background Nitric oxide (NO) plays an important role in lung cancer. However, the results of previous studies about NO in the occurrence, progress and therapy were not consistent. Therefore, we conducted a meta-analysis to evaluate the relationship between NO and lung cancer. Method We carried out comprehensive search in the databases, and collected related studies. The data of fraction of exhaled nitric oxide (FeNO) or blood NO in different populations (lung cancer patients and control subjects) and different time points (before therapy and after therapy) were extracted by two investigators. A random effect model was applied to analyze the differences of FeNO and blood NO in different populations and different time points. To further compare NO level of each subgroup with different pathological types and different stages, a network meta-analysis (NMA) was performed. Results Fifty studies including 2551 cases and 1691 controls were adopted in this meta-analysis. The FeNO (SMD 3.01, 95% CI 1.89–4.13, p < 0.00001) and blood NO (SMD 1.34, 95% CI 0.84–1.85, p < 0.00001) level in lung cancer patients was much higher than that in control subjects. NMA model indicated blood NO level in each cancer type except SCLC was higher than that in control patients. There was no significant difference of blood NO level among four kinds of lung cancer patients. Blood NO level in LCC patients (SUCRA = 83.5%) was the highest. Blood NO level in advanced stage but not early stage was higher than that in control subjects. Patients in advanced stage (SUCRA = 95.5%) had the highest blood NO level. No significant difference of FeNO (SMD -0.04, 95% CI -0.46-0.38, p > 0.05) and blood NO level (SMD -0.36, 95% CI -1.08-0.36, p > 0.05) was observed between pretreatment and posttreatment in all patients. However, FeNO level elevated (SMD 0.28, 95% CI 0.04–0.51, p = 0.02) and blood NO level decreased in NSCLC patients (SMD -0.95, 95% CI -1.89-0.00, p = 0.05) after therapy. Conclusion FeNO and blood NO level would contribute to diagnosis of lung cancer and evaluation of therapy effect, especially for NSCLC patients.


2020 ◽  
Author(s):  
Zipeng Yang ◽  
Zi-Guo Yuan ◽  
Anqun Yang ◽  
Xiu-Xiang Zhang ◽  
Xiaohu Wang ◽  
...  

Abstract Background The aim of this study was to investigate the association between the serum complement component 3 “C3” level and the patients with different types of cancer. Our study finding would ultimately provide reliable scientific conclusions to guide clinical practice. Methods PubMed, Embase, The Chorane Library and Google Scholar were systematically searched to identify all studies on serum C3 concentrations in cancer patients published as of September 2019. Additionally, we conducted a clinical study on serum C3 in lung cancer patients and healthy people. The levels of serum complement C3 in 84 lung cancer patients and 30 healthy people were examined by ELISA. We used standardized mean differences (SMD) to report the pooled estimation, and I² statistics were calculated to examine the heterogeneity. For pooling estimates, a fixed effect meta-analysis was conducted on our studies. Two independent reviewers extracted relevant data and conducted deviation risk assessment. Our Meta-analysis was performed using STATA software and Review Manager 5.3. Results The C3 levels of 83 lung cancer patients were 1.07 ± 0.34, and 30 healthy people were 0.95 ± 0.17 (the unit is g/l, keep two decimal places after the decimal point), and the p-value for t-test was 0.014 (<0.05). The overall C3 concentrations of cancer patients were significantly higher than the healthy control (SMD:0.30, 95%CI = 0.20 to 0.40 , p-value <0.00001). There was a certain degree of heterogeneity in the article, but it was acceptable (χ² = 31.89, p-value = 0.02, I²= 44%). Conclusions Concentration analysis and this meta-analysis revealed that the serum C3 concentrations in cancer patients are significantly higher than that of healthy people. Further well-designed, large-scale, randomized controlled trials are needed to confirm this conclusion. Keywords : Complement Component 3; Cancer Patients; Meta-Analysis


2020 ◽  
Author(s):  
Eszter Bartalis ◽  
Marin Gergics ◽  
Benedek Tinusz ◽  
Mária Földi ◽  
Szabolcs Kiss ◽  
...  

Abstract Background The prevalence of hyponatremia is highly variable among lung cancer patients. It is also an important predictive factor, according to numerous studies. However, its prevalence and prognostic significance in subgroups of lung cancer patients, e.g. in small cell and non-small cell lung cancers (SCLC and NSCLC, respectively), have not yet been evaluated in a meta-analysis.Methods We report this systematic review and meta-analysis according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2009) Statement. We have registered our meta-analysis and review’s protocol to the PROSPERO International Prospective Register of Systematic Reviews, with the following registration number: CRD42020167013. A systematic search was done in the following sources: MEDLINE, Embase, CENTRAL, Web of Science, ClinicalTrials.gov, a WHO Global Health Library. We extracted the effect measure for each outcome as the relative risk (RR) with the related 95% confidence interval (CI). Results We identified a total of 8127 potentially eligible studies and we included 25 studies in our evaluation. The prevalence of hyponatremia in lung cancer patients varied between 3% and 56.1% with an average of 23% without any significant differences between the following subgroups: cancer type (p=0.780), gender (p=0.223), age (p=0.773), ECOG state (p=0.317) and the extent of disease (p=0.999). Hyponatremia was more consistently an independent prognostic factor in NSCLC than in SCLC. The overall survival (OS) was significantly lower in hyponatremic compared to normonatremic patients at 10 months (RR: 0.59, 95% CI, 0.47 to 0.74, p<0.001) and at 20 months (RR: 0.44, 95% CI, 0.33 to 0.59, p<0.001), with worse survival rates in NSCLC than in SCLC (27% vs 42%) (p<0.001). If hyponatremia was corrected, OS at 10 months was 1.83 times higher than in the uncorrected hyponatremia group (95% CI, 1.37 to 2.44, p<0.001), but at 20 months no statistically significant difference could be found between these subgroups (p=0.067).Conclusions Low serum sodium levels have a negative impact on mortality at 10 and 20 months, which is more pronounced among NSCLC patients. The correction of hyponatremia has a positive effect on OS rates at 10 months, but this advantage disappears by 20 months.


2020 ◽  
Vol 10 ◽  
Author(s):  
Lei Peng ◽  
Jinze Li ◽  
Chunyang Meng ◽  
Jinming Li ◽  
Dandan Tang ◽  
...  

BackgroundThis study aimed to evaluate the diagnostic value of telomerase activity (TA) for bladder cancer (BC) by meta-analysis.MethodsWe conducted a systematic search of studies published on PubMed, Embase, and Web of Science up to June 1, 2019. We used Stata 15 and Review Manager 5.3 for calculations and statistical analysis.ResultsTo evaluate the diagnostic value of TA for BC, we performed a meta-analysis on 22 studies, with a total of 2,867 individuals, including sensitivity, specificity, positive and negative likelihood ratio (PLR, NLR), diagnostic odds ratio (DOR), and 95% confidence intervals (CIs). The pooled parameters were calculated from all studies, and we found a sensitivity of 0.79 (95% CI: 0.72–0.84), a specificity of 0.91 (95% CI: 0.87–0.94), a PLR of 8.91 (95% CI: 5.91–13.43), an NLR of 0.24 (95% CI: 0.15–0.37), a DOR of 37.90 (95% CI: 23.32–61.59), and an AUC of 0.92 (95% CI: 0.90–0.94). We also conducted a subgroup analysis based on the different stages and grades of BC. Results from the subgroup analysis showed that there was no significant difference in TA in either high and low stages of BC, but that low-grade tumors had a lower TA than high-grade tumours.ConclusionsTA can be used as a potential biomarker for the diagnosis of bladder cancer with its high specificity. Rigorous and high-quality prospective studies are required to verify our conclusion.


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