scholarly journals The diagnostic and prognostic value of miR-92a in gastric cancer: A systematic review and meta-analysis

Open Medicine ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. 1386-1394
Author(s):  
Hanxu Guo ◽  
Yuhang Wang ◽  
Zhicheng Wang ◽  
Zishu Wang ◽  
Sheng Xue
Keyword(s):  
Gastric Cancer ◽  
Meta Analysis ◽  
Diagnostic Odds Ratio ◽  
Likelihood Ratios ◽  
Diagnosis And Prognosis ◽  
Prognostic Analysis ◽  
Knowledge Infrastructure ◽  
Hazard Ratios ◽  
Potential Biomarker ◽  
Gastric Cancer Patients

Abstract Background miR-92a is believed to have a significant role in the diagnosis and prognosis of different types of tumors, but the potential impact of its expression is still controversial due to the sample size. We conducted the meta-analysis to figure out whether miR-92a could be used as a detecting tool for assessing the prognosis of gastric cancer. Method A literature search was conducted by retrieving the Web of Science, PubMed, EMBASE, Chinese National Knowledge Infrastructure, VIP (Technology of Chongqing databases), and Wanfang databases (last updated by February 2020). The sensitivity (SEN), specificity (SPE), positive and negative likelihood ratios (PLR and NLR), diagnostic odds ratio (DOR), and area under the ROC curve (AUC) were pooled to explore the diagnostic performance of miR-92a. The pooled hazard ratios (HRs) and 95% CIs of miR-92a for overall survival (OS) were calculated to explore the prognostic performance of miR-92a. Results Nine articles containing 11 studies were included. The pooled SEN and SPE were 0.76 and 0.79. Besides, the pooled PLR and NLR were 3.7 and 0.30, and the pooled DOR was 12. AUC was 0.84, indicating a significant value of miR-92a in gastric cancer detection. For the prognostic analysis of miR-92a in gastric cancer, the univariate and multivariate data’s poor OS were 1.37 and 2.01. Conclusion The present meta-analysis demonstrated that miR-92a could be a potential biomarker for the detection of gastric cancer. miR-92a could also be used as a valuable indicator for predicting the prognosis of gastric cancer patients.

scholarly journals The Diagnostic and Prognostic Value of MiR-92a in Gastric Cancer

2020 ◽  
Author(s):  
Hanxu Guo ◽  
Yuhang Wang ◽  
Yongtian Li ◽  
Zishu Wang
Keyword(s):  
Gastric Cancer ◽  
Meta Analysis ◽  
Prognostic Indicator ◽  
Diagnostic Odds Ratio ◽  
Likelihood Ratios ◽  
Prognostic Analysis ◽  
Knowledge Infrastructure ◽  
Potential Biomarker ◽  
Potential Impact ◽  
Diagnostic And Prognostic Value

Abstract Background: miR-92a been proposed to have a significant role in the diagnosis andprognosis of different types of tumors, but the potential impact of its expression is still controversial due to the sample size. We conducted the meta-analysis to figure out whether miR-92a could be used as a detecting tool and prognosis of gastric cancer.Method: A literature search was performedby retrieving Web ofScience, PubMed, EMBASE, ChineseNational Knowledge Infrastructure (CNKI), VIP(Technology of Chongqing databases) and Wanfang databases (last update by February2020). The sensitivity (SEN), specificity (SPE), positive and negative likelihood ratios (PLR and NLR), diagnostic odds ratio (DOR), and area under the ROC curve (AUC) were pooled to explore the diagnostic performance of miR-92a.The pooled HRs and 95%CIs of miR-92a for overall survival (OS) were calculated to explore the prognostic performance of miR-92a. Subgroup and meta-analysis were further carried out to explore the heterogeneity.Results: 10 articles with12 studies were included. The pooled SEN and SPE were 0.76 (95% CI 0.64–0.85) and 0.79 (95% CI 0.63–0.90).Besides, the pooled PLR and NLR were3.7(95% CI 1.8–7.5)and 0.30 (95% CI 0.18–0.50), and the pooled DOR was 12(95% CI4–38). AUC was 0.84 (95% CI: 0.81–0.87), indicating asignificant value of miR-92a in the gastric cancer detection. For the prognostic analysis of miR-92a in gastric cancer, the univariate and multivariate data’s poor OS were 1.46(95% CI0.87-2.45) and 1.46(95% CI0.90-2.39).Conclusions: The present meta-analysis demonstrated that miR-92a could be a potential biomarker for thedetection of gastric cancer.Furthermore,high expression of miR-92a has a negative association with the survivalof patients, suggesting its potential as a prognostic indicator in gastric cancer.

Sensitivity and Specificity of Dickkopf-1 Protein in Serum for Diagnosing Hepatocellular Carcinoma: A Meta-Analysis

2014 ◽  
Vol 29 (4) ◽  
pp. 403-410 ◽  
Author(s):  
Jie Zhang ◽  
Ying Zhao ◽  
Qin Yang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Diagnostic Accuracy ◽  
Test Performance ◽  
Meta Analysis ◽  
Diagnostic Odds Ratio ◽  
Likelihood Ratios ◽  
Summary Receiver Operating Characteristic ◽  
Knowledge Infrastructure ◽  
Combined Test ◽  
Dickkopf 1

Objective This meta-analysis evaluated the diagnostic accuracy of positive serum Dickkopf-1 (DKK1) for diagnosing hepatocellular carcinoma (HCC). Material and methods Articles listed on Embase, PubMed, Wanfang, Weipu Periodical Database or the Chinese National Knowledge Infrastructure (CNKI) and published up to July 10, 2013, were searched in either English or Chinese. The pooled sensitivity (SEN), specificity (SPE), positive and negative likelihood ratios (PLR and NLR), diagnostic odds ratio (DOR) and summary receiver operating characteristic (sROC) curve were calculated to summarize the overall test performance. Results Four articles (6 studies) provided DKK1 diagnostic data. The pooled SEN, SPE, PLR, NLR, DOR and area under the sROC curve of DKK1 for the diagnosis of HCC were 0.65 (95% confidence interval [95% CI], 0.52-0.76), 0.94 (95% CI, 0.82-0.98), 10.1 (95% CI, 3.68-27.74), 0.38 (95% CI, 0.28-0.51), 26.90 (95% CI, 10.45-69.19) and 0.84 (95% CI, 0.81-0.87), respectively. Three articles (5 studies) provided DKK1 and α-fetoprotein (AFP) combined test data. The pooled SEN, SPE, PLR, NLR, DOR and area under the sROC curve of combined detection for the diagnosis of HCC were 0.81 (95% CI, 0.76-0.85), 0.85 (95% CI, 0.78-0.91), 5.52 (95% CI, 3.76-8.10), 0.22 (95% CI, 0.19-0.27), 24.60 (95% CI, 17.69-34.19) and 0.88 (95% CI, 0.85-0.91), respectively. Conclusion Both DKK1 and DKK1 plus AFP had high diagnostic accuracy for diagnosis of HCC.

scholarly journals The value of miR-155 as a biomarker for the diagnosis and prognosis of lung cancer: a systematic review with meta-analysis

2019 ◽  
Author(s):  
Chuchu Shao ◽  
Fengming Yang ◽  
Zhiqiang Qin ◽  
Xinming Jing ◽  
Yongqian Shu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Systematic Review ◽  
Meta Analysis ◽  
Diagnostic Value ◽  
Bibliographic Databases ◽  
Diagnosis And Prognosis ◽  
Prognostic Analysis ◽  
Potential Biomarker ◽  
Keywords Lung Cancer ◽  
The Impact

Abstract Abstract Background: In recent years, several studies have investigated the impact of miR-155 on the diagnosis and prognosis of LCa, but results of these researches were still controversial due to insufficient sample size. Thus, we carried out this systematic review and meta-analysis to figure out whether miR-155 could be a screening tool in the detection and prognosis of LCa. Methods: A meta-analysis of 13 articles with 19 studies was performed by retrieving the PubMed, Embase and other bibliographic databases. We screened all correlated literaters until December 1st, 2018. For the diagnostic value of miR-155 in LCa, SEN, SPE, PLR, NLR, DOR and AUC were pooled to evaluate the accuracy of miRNA-155 in the diagnosis of LCa. Subgroup and meta-regression analyses were performed to distinguish the potential sources of heterogeneity between studies. For the prognositic value of miR-155 in LCa, the pooled HRs and 95% CIs of miRNA-155 for OS and DFS/ PFS were calculated. Results: For the diagnosis analysis of miR-155 in LCa, the pooled SEN and SPE were 0.82 (95% CI: 0.72-0.88) and 0.78 (95% CI: 0.71-0.84), respectively. Besides, the pooled PLR was 3.75 (95% CI: 2.76-5.10), NLR was 0.23 (95% CI: 0.15-0.37), DOR was 15.99 (95% CI: 8.11-31.52) and AUC was 0.87 (95% CI: 0.84-0.90), indicating a significant value of miR-155 in the LCa detection. For the prognostic analysis of miR-155 in LCa, up-regulated miRNA-155 expression was not significantly associated with a poor OS (pooled HR = 1.26, 95% CI: 0.66-2.40) or DFS/PFS (pooled HR = 1.28, 95% CI: 0.82-1.97). Conclusions: This meta-analysis demonstrated that miR-155 could be used as a potential biomarker in the diagnosis of LCa but not an effective biomarker for predicting the prognosis of LCa. Furthermore, more well-designed researches with larger cohorts were warranted to confirm the value of miR-155 for the diagnosis and prognosis of LCa. Keywords: lung cancer, miR-155, diagnosis, prognosis, biomarker

scholarly journals Plasma long non-coding RNA HOTAIR as a potential biomarker for gastric cancer

2018 ◽  
Vol 33 (4) ◽  
pp. 528-533 ◽  
Author(s):  
Eman T. Elsayed ◽  
Perihan E. Salem ◽  
Azaa M. Darwish ◽  
Haytham M. Fayed
Keyword(s):  
Gastric Cancer ◽  
Characteristic Curve ◽  
Healthy Controls ◽  
Non Invasive ◽  
Diagnosis And Prognosis ◽  
Advanced Tumor ◽  
Potential Biomarker ◽  
Tumor Stages ◽  
Tumorigenesis And Progression ◽  
Gastric Cancer Patients

Background: Long non-coding RNAs (lncRNAs) Hox transcript antisense intergenic RNA ( HOTAIR) has been suggested to be implicated in gastric cancer tumorigenesis and progression; however, little is known about the role of the plasma HOTAIR in gastric cancer diagnosis and prognosis. Objective: The current study was aimed at investigating the clinical relevance of plasma long non-coding HOTAIR as a non-invasive diagnostic biomarker in gastric cancer. Methods: Plasma HOTAIR expression was measured in 50 patients with newly diagnosed gastric cancer and 50 age- and sex-matched healthy controls using quantitative reverse transcription polymerase chain reaction. Results: Plasma level of HOTAIR was significantly higher in gastric cancer patients compared with healthy controls ( P < 0.001). By using receiver operating characteristic curve analysis, it was found that plasma HOTAIR could diagnose gastric cancer with 88% sensitivity and 84% specificity. Furthermore, increased HOTAIR expression was associated with advanced tumor stages, higher grades, and metastasis. Conclusion: Plasma HOTAIR might serve as a potential non-invasive biomarker for diagnosis of gastric cancer.

scholarly journals Identifying the diagnostic value of microRNA-421 in gastric cancer patients: a meta-analysis

2018 ◽  
Author(s):  
Yan Miao ◽  
Ying Zhang ◽  
Lina Wang ◽  
Lihong Yin
Keyword(s):  
Gastric Cancer ◽  
Operating Characteristic ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Diagnostic Odds Ratio ◽  
Diagnostic Value ◽  
Summary Receiver Operating Characteristic ◽  
Gastric Cancer Patients ◽  
Sensitivity Specificity

ABSTRACTObjectivesEmerging evidence has shown that the expression level of microRNA-421 (miR-421) was significantly different between gastric cancer (GC) patients and healthy individuals. However, the diagnostic accuracy of miR-421 in the reports remains inconsistent. This meta-analysis aims to assess the diagnostic value of miR-421 in GC detection.MethodsAll related articles on miR-421 in GC diagnosis were retrieved until September 2018. The QUADAS-2 checklist was used to assess the methodological quality of each study. The diagnostic performance of miR-421 for GC were assessed by using Meta-DiSc 1.4 and STATA 14.0 statistical software.ResultsA total of 172 GC patients and 154 healthy controls from three articles (four studies) were enrolled in this meta-analysis. The results of pooled sensitivity, specificity, diagnostic odds ratio (DOR) with 95% confidence interval (CI) were 0.90 (95% CI: 0.85 to 0.93), 0.83 (95% CI: 0.77 to 0.87), and 37.18 (95% CI: 8.61 to 160.49), respectively. The area under the summary receiver operating characteristic curve (SROC) was 0.8977.ConclusionsThis study indicates that miR-421 could serve as a promising biomarker for GC detecting. Further studies are needed to verify the generalizability of these findings.

scholarly journals Accuracy of angiopoietin-2 for predicting organ failure in patients with acute pancreatitis: a systematic review and meta-analysis

2021 ◽  
Vol 49 (2) ◽  
pp. 030006052098670
Author(s):  
Yongcai Lv ◽  
Yanhua Yao ◽  
Qi Liu ◽  
Jingjing Lei
Keyword(s):  
Acute Pancreatitis ◽  
Organ Failure ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Diagnostic Odds Ratio ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Likelihood Ratios ◽  
Summary Receiver Operating Characteristic ◽  
Angiopoietin 2

Objective Our aim was to assess the accuracy of angiopoietin-2 (Ang-2) as a prognostic marker for acute pancreatitis (AP) with organ failure (OF). Methods We undertook a systematic search of the PubMed, Cochrane Library, Embase, Chinese Journals Full-text, Wanfang, China Biology Medicine disc, and Weipu databases to identify eligible cohort studies on the predictive value of Ang-2 for AP with OF. The main outcome measures were sensitivity and specificity. The effects were pooled using a bivariate mixed-effects model. Results Six articles with seven case-control studies (n = 650) were included. Pooled sensitivity, specificity, and positive and negative likelihood ratios with 95% confidence intervals (CI) for AP with OF were 0.93 (95%CI: 0.75–0.99), 0.85 (95%CI: 0.75–0.92), 6.40 (95%CI: 3.36–12.19), and 0.08 (95%CI: 0.02–0.36), respectively. The area under the summary receiver operating characteristic curve was 0.95 (95%CI: 0.92–0.96), and the diagnostic odds ratio was 83.18 (95%CI: 11.50–623.17). Subgroup analysis showed that admission time of AP onset (< or ≥24 hours) was a source of overall heterogeneity. Sensitivity analysis supported this finding. Conclusion Ang-2 had high diagnostic accuracy for AP with OF; the best prediction of Ang-2 may be 24 to 72 hours after onset of AP.

scholarly journals Diagnostic and prognostic value of miRNAs in hepatoblastoma: A systematic review with meta-analysis

2021 ◽  
Author(s):  
Bin Wu ◽  
◽  
Lixia Guo ◽  
Kaikai Zhen ◽  
Chao Sun
Keyword(s):  
Systematic Review ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Prognostic Indicator ◽  
Diagnostic Odds Ratio ◽  
Diagnostic Value ◽  
Likelihood Ratios ◽  
Clinical Value ◽  
Diagnostic And Prognostic Value

Review question / Objective: Background and aim: Increasing evidence has revealed the valuable diagnostic and prognostic applications of dysregulated microRNAs (miRNAs) in hepatoblastoma (HB), the most common hepatic malignancy during childhood. However, these results are inconsistent and remain to be elucidated. In the present study, we aimed to systematically compile up-to-date information regarding the clinical value of miRNAs in HB. Methods: Articles concerning the diagnostic and prognostic value of single miRNAs for HB were searched from databases. The sensitivity (SEN), specificity (SPE), positive and negative likelihood ratios (PLR and NLR), diagnostic odds ratio (DOR), area under the curve (AUC), and hazard ratios (HRs) were separately pooled to explore the diagnostic and prognostic performance of miRNA. Subgroup and meta-regression analyses were further carried out only in the event of heterogeneity. Results: In all, 20 studies, involving 264 HB patients and 206 healthy individuals, met the inclusion criteria in the six included literature articles. For the diagnostic analysis of miRNAs in HB, the pooled SEN and SPE were 0.76 (95% CI: 0.72–0.80) and 0.75 (95% CI: 0.70–0.80), respectively. Moreover, the pooled PLR was 2.79 (95% CI: 2.12–3.66), NLR was 0.34 (95% CI: 0.26–0.45), DOR was 10.24 (95% CI: 6.55–16.00), and AUC was 0.83, indicating that miRNAs had moderate diagnostic value in HB. For the prognostic analysis of miRNAs in HB, the abnormal expressions of miR-21, miR-34a, miR-34b, miR-34c, miR-492, miR-193, miR-222, and miR-224 in patients were confirmed to be associated with a worse prognosis. The pooled HR was 1.74 (95% CI: 1.20–2.29) for overall survival (OS) and 1.74 (95% CI: 1.31–2.18) for event-free survival (EFS), suggesting its potential as a prognostic indicator for HB. Conclusion: To the best of our knowledge, this is the first comprehensive systematic review and meta-analysis that examines the diagnostic and prognostic role of dysregulated miRNAs in HB patients. The combined meta-analysis results supported the previous individual finds that miRNAs might provide a new, noninvasive method for the diagnostic and prognostic analyses ofHB.

scholarly journals Which is better for gastric cancer patients, perioperative or adjuvant chemotherapy: a meta-analysis

BMC Cancer ◽  
2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Jun-hua Zhao ◽  
Peng Gao ◽  
Yong-xi Song ◽  
Jing-xu Sun ◽  
Xiao-wan Chen ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Adjuvant Chemotherapy ◽  
Cancer Patients ◽  
Meta Analysis ◽  
Gastric Cancer Patients
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