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Review
. 2019 Mar 19:2019:9056458.
doi: 10.1155/2019/9056458. eCollection 2019.

Potential Role of lncRNA H19 as a Cancer Biomarker in Human Cancers Detection and Diagnosis: A Pooled Analysis Based on 1585 Subjects

Yuhan Liu  1 , Anbang He  2 , Baoer Liu  3 , Zhengxian Huang  1 , Hongbing Mei  1
Affiliations
Review

Potential Role of lncRNA H19 as a Cancer Biomarker in Human Cancers Detection and Diagnosis: A Pooled Analysis Based on 1585 Subjects

Yuhan Liu et al. Biomed Res Int. .

Abstract

Long noncoding RNAs (lncRNAs) have been reported to serve as diagnostic and prognostic biomarkers of cancers, which play vital roles in tumorigenesis and tumor progression. Several studies have been performed to explore diagnostic value of lncRNA H19 in cancer detection and diagnosis. However, there are still inconsistent results in diagnostic accuracy and reliability in individual studies. Therefore, the present study was performed to summarize the overall diagnostic performance of lncRNA H19 in cancer detection and diagnosis. A total of eight studies with 770 cases and 815 controls were included in this pooled analysis. The pooled diagnostic results were as follows: sensitivity, 0.69 (95%CI=0.62-0.76), specificity, 0.79 (95% CI=0.70-0.86), positive likelihood ratio (PLR), 3.31 (95%CI=2.29-4.78), negative likelihood (NLR), 0.39 (95%CI=0.31-0.49), diagnostic odds ratio (DOR), 8.53 (95%CI=4.99-14.60), and area under the curve (AUC), 0.79 (95%CI=0.76-0.83). Deeks' funnel plot asymmetry test (P=0.13) suggested no potential publication bias. Our results indicated that lncRNA H19 had a relatively moderate accuracy in cancer detection and diagnosis. Further comprehensive prospective studies with large sample sizes are urgently required to validate our findings.

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Figures

Figure 1
Figure 1
The flow diagram of the included and excluded studies.
Figure 2
Figure 2
Forest plots of pooled sensitivity and specificity of the overall 8 included publications.
Figure 3
Figure 3
Forest plots of positive likelihood ratio (PLR) and negative likelihood ratio (NLR) for lncRNA H19 in the diagnosis of cancer.
Figure 4
Figure 4
Forest plots of pooled diagnostic odds ratio (DOR) for lncRNA H19 in the diagnosis of cancer.
Figure 5
Figure 5
Summary receiver operating characteristic (SROC) graph of included studies.
Figure 6
Figure 6
Hierarchical summary receiver operating characteristics (HSROC) curve for lncRNA H19 in the diagnosis of cancer.
Figure 7
Figure 7
Fagan's Nomogram for calculation of posttest probabilities.
Figure 8
Figure 8
Graphs for sensitivity analyses: (a) goodness of fit, (b) bivariate normality, (c) influence analysis, and (d) outlier detection.
Figure 9
Figure 9
Graph of Deeks' funnel plot asymmetry test.
See this image and copyright information in PMC

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