Diagnostic value of NPTX2 (neuronal pentraxin II) methylation in patients with pancreatic cancer: meta-analysis

Background Fluorodeoxyglucose positron emission tomography (FDG-PET)/computed tomography (CT) and diffusion-weighted magnetic resonance imaging (DWI or DW-MRI) are tools for the diagnosis of pancreatic cancer. However, comparison of their diagnostic performance remains unknown. Purpose To indirectly compare the diagnostic value of DWI and FDG-PET/CT in the detection of pancreatic cancer. Material and Methods A literature search of PubMed, Embase, and Cochrane Library electronic databases for articles published through May 2018 yielded 875 articles. For the meta-analysis, we included 26 studies evaluating the efficacy of DWI and FDG-PET/CT for determining pancreatic cancer with a total of 1377 patients. QUADAS (Quality Assessment of Diagnostic Accuracy Studies) was used to assess the study quality. Sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the area under the receiver operating characteristic curves (AUC) with their 95% confidence intervals were calculated for each individual study. Results There were no significant differences between DWI and FDG-PET/CT for sensitivity, specificity, PLR, NLR, or DOR, while DWI AUC was higher than that of FDG-PET/CT for the detection of pancreatic cancer. Conclusion The diagnostic value of both DWI and FDG-PET/CT were comparable and, hence, both techniques seem to be equally useful tools for the diagnosis of pancreatic cancer.

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A meta-analysis of the diagnostic value of detecting K-ras mutation in pancreatic juice as a molecular marker for pancreatic cancer

Pancreatology ◽

10.1016/j.pan.2016.04.033 ◽

2016 ◽

Vol 16 (4) ◽

pp. 605-614 ◽

Cited By ~ 6

Author(s):

Jing Yang ◽

Sainan Li ◽

Jingjing Li ◽

Fan Wang ◽

Kan Chen ◽

...

Keyword(s):

Pancreatic Cancer ◽

Molecular Marker ◽

Pancreatic Juice ◽

Meta Analysis ◽

Diagnostic Value ◽

Ras Mutation

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Diagnostic Value of CA 19-9 and Carcinoembryonic Antigen for Pancreatic Cancer: A Meta-Analysis

Gastroenterology Research and Practice ◽

10.1155/2018/8704751 ◽

2018 ◽

Vol 2018 ◽

pp. 1-9 ◽

Cited By ~ 5

Author(s):

Haibo Xing ◽

Jing Wang ◽

Yanling Wang ◽

Mengting Tong ◽

Hong Hu ◽

...

Keyword(s):

Pancreatic Cancer ◽

Carcinoembryonic Antigen ◽

Operating Characteristic ◽

Meta Analysis ◽

Diagnostic Odds Ratio ◽

Diagnostic Value ◽

Cochrane Library ◽

Sensitivity Ratio ◽

Significant Difference ◽

Higher Sensitivity

Background. CA 19-9 and carcinoembryonic antigen (CEA) are widely used for the diagnosis of pancreatic cancer. The purpose of the present study was to compare the diagnostic value of CA 19-9 with CEA for pancreatic cancer. Methods. The studies were obtained from electronic searches conducted in PubMed, Embase, and Cochrane Library databases until December 2017. The keywords included diagnosis of pancreatic cancer, CA 19-9, and CEA. The ratio of sensitivity, the specificity, the diagnostic odds ratio (DOR), and the summary of the receiver operating characteristic (SROC) with regard to CA 19-9 and CEA were measured using the random effects model. The current study included 13 studies that comprised 4,537 participants and 1,277 patients with pancreatic cancer. Results. The levels of CA 19-9 for use for the detection of pancreatic cancer were associated with higher sensitivity (ratio of sensitivity: 1.54; 1.31–1.81; P<0.001), DOR (DOR: 3.50; 95% CI: 2.24–5.45; P<0.001), and AUC (ratio of AUC: 1.24; 95% CI: 1.15–1.33; P<0.001) compared with the variable CEA, while no significant difference between CA 19-9 and CEA was noted with regard to specificity (ratio of specificity: 0.97; 95% CI: 0.89–1.06; P=0.517). The findings of the subgroup analyses suggested that different cutoff values of CA 19-9 and CEA might affect the diagnostic value. Conclusions. The findings of the present study indicated that CA 19-9 levels were associated with higher sensitivity, DOR, and AUC compared with the corresponding levels of CEA with regard to the diagnosis of pancreatic cancer.

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Diagnostic value of S100P for pancreatic cancer: a meta-analysis

Tumor Biology ◽

10.1007/s13277-014-2461-4 ◽

2014 ◽

Vol 35 (10) ◽

pp. 9479-9485 ◽

Cited By ~ 17

Author(s):

Haolin Hu ◽

Qi Zhang ◽

Chenfei Huang ◽

Yi Shen ◽

Xundi Chen ◽

...

Keyword(s):

Pancreatic Cancer ◽

Meta Analysis ◽

Diagnostic Value

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Systematic Review and Meta-Analysis of Diagnostic Accuracy of miRNAs in Patients with Pancreatic Cancer

Disease Markers ◽

10.1155/2018/6292396 ◽

2018 ◽

Vol 2018 ◽

pp. 1-13 ◽

Cited By ~ 10

Author(s):

Xiao Sun ◽

Xiaobin Zhou ◽

Yuan Zhang ◽

Xiaoyan Zhu ◽

Haihua Liu

Keyword(s):

Pancreatic Cancer ◽

Diagnostic Accuracy ◽

Web Of Science ◽

Meta Analysis ◽

Diagnostic Value ◽

Biomedical Literature ◽

Knowledge Infrastructure ◽

Literature Database ◽

Chinese National Knowledge Infrastructure

Background. It is reported that miRNAs are aberrantly expressed in patients with pancreatic cancer. However, the diagnostic value of miRNAs in pancreatic cancer remains controversial. The meta-analysis was to access diagnostic accuracy of miRNAs in pancreatic cancer. Methods. PubMed, Scopus, Web of Science, Chinese National Knowledge Infrastructure (CNKI), WANFANG Data, China Biomedical Literature Database (CBM), and VIP databases were retrieved up to June 30, 2016, to collect articles concerning the diagnosis of miRNAs in pancreatic cancer. The methodological quality of each study was assessed by the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). This meta-analysis was conducted using RevMan5.0, MetaDiSc 1.4, and Stata 12.0 software. Results. There are 40 articles including 109 studies. The pooled SEN was 0.81 (95% CI, 0.80–0.82), the pooled SPE was 0.78 (95% CI, 0.77–0.79), the pooled +LR was 3.32 (95% CI, 2.92–3.80), the pooled −LR was 0.27 (95% CI, 0.24–0.31), the pooled DOR was 14.56 (95% CI, 11.55–18.34), and pooled AUC was 0.86 (95% CI, 0.84–0.88). Discussion. This meta-analysis demonstrated that miRNA makes a significant impact in the pancreatic cancer diagnosis with a high SEN and SPE, particularly using multiple miRNAs.

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Statin use decreases the risk of pancreatic cancer occurrence: a meta-analysis

10.26226/morressier.59a6b346d462b80290b54a82 ◽

2017 ◽

Author(s):

Livia Archibugi

Keyword(s):

Pancreatic Cancer ◽

Meta Analysis ◽

Cancer Occurrence ◽

Statin Use

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Discovery and function exploration of microRNA-155 as a molecular biomarker for early detection of breast cancer

Breast Cancer ◽

10.1007/s12282-021-01215-2 ◽

2021 ◽

Author(s):

Xuemin Liu ◽

Qingyu Chang ◽

Haiqiang Wang ◽

Hairong Qian ◽

Yikun Jiang

Keyword(s):

Breast Cancer ◽

Early Detection ◽

Protein Interactions ◽

Meta Analysis ◽

Enrichment Analysis ◽

Diagnostic Value ◽

Diagnostic Biomarker ◽

Analysis Model ◽

Sensitivity Specificity ◽

Function Enrichment

Abstract Background MicroRNA-155 (miR-155) may function as a diagnostic biomarker of breast cancer (BC). Nevertheless, the available evidence is controversial. Therefore, we performed this study to summarize the global predicting role of miR-155 for early detection of BC and preliminarily explore the functional roles of miR-155 in BC. Methods We first collected published studies and applied the bivariate meta-analysis model to generate the pooled diagnostic parameters of miR-155 in diagnosing BC such as sensitivity, specificity and area under curve (AUC). Then, we applied function enrichment and protein–protein interactions (PPI) analyses to explore the potential mechanisms of miR-155. Results A total of 21 studies were finally included. The results indicated that miR-155 allowed for the discrimination between BC patients and healthy controls with a sensitivity of 0.87 (95% CI 0.78–0.93), specificity of 0.82 (0.72–0.89), and AUC of 0.91 (0.88–0.93). In addition, the overall sensitivity, specificity and AUC for circulating miR-155 were 0.88 (0.76–0.95), 0.83 (0.72–0.90), and 0.92 (0.89–0.94), respectively. Function enrichment analysis revealed several vital ontologies terms and pathways associated with BC occurrence and development. Furthermore, in the PPI network, ten hub genes and two significant modules were identified to be involved in some important pathways associated with the pathogenesis of BC. Conclusions We demonstrated that miR-155 has great potential to facilitate accurate BC detection and may serve as a promising diagnostic biomarker for BC. However, well-designed cohort studies and biological experiments should be implemented to confirm the diagnostic value of miR-155 before it can be applied to routine clinical procedures.

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