Forest plot of the relationship between miR-101 and OS in solid tumor.

<p>Forest plot of the relationship between miR-101 and OS in solid tumor.</p

Prognostic Significance of the Metabolic Marker Hexokinase-2 in Various Solid Tumors: A Meta-Analysis

<div><p>Objective</p><p>Recently, numerous studies have reported that hexokinase-2 (HK2) is aberrantly expressed in cancer, indicating that HK2 plays a pivotal role in the development and progression of cancer. However, its prognostic significance in solid tumor remains unclear. Accordingly, we performed a meta-analysis to assess the prognostic value of HK2 in solid tumor.</p><p>Methods</p><p>Eligible studies were identified using PubMed, Embase, and Web of Science databases. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) for overall survival (OS) or progression-free survival (PFS)/disease-free survival (DFS)/relapse-free survival (RFS) were estimated with random effects or fixed effects models, respectively. Subgroup analysis was also performed according to patients’ ethnicities, tumor types, detection methods, and analysis types.</p><p>Results</p><p>Data from 21 included studies with 2532 patients were summarized. HK2 overexpression was significantly associated with worse OS (pooled HR = 1.90, 95% CI = 1.51–2.38, <i>p</i> < 0.001) and PFS (pooled HR = 2.91, 95% CI = 2.02–4.22, <i>p</i> < 0.001) in solid tumor. As to a specific form of cancer, the negative effect of HK2 on OS was observed in hepatocellular carcinoma (pooled HR = 2.06, 95% CI = 1.67–2.54, <i>p</i> < 0.001), gastric cancer (pooled HR = 1.72, 95% CI = 1.09–2.71, <i>p</i> = 0.020), colorectal cancer (pooled HR = 2.89, 95% CI = 1.62–5.16, <i>p</i> < 0.001), but not in pancreatic cancer (pooled HR = 1.13, 95% CI = 0.28–4.66, <i>p</i> = 0.864). No publication bias was found in the included studies for OS (Begg’s test, <i>p</i> = 0.325; Egger’s test, <i>p</i> = 0.441).</p><p>Conclusion</p><p>In this meta-analysis, we identified that elevated HK2 expression was significantly associated with shorter OS and PFS in patients with solid tumor, but the association varies according to cancer type.</p></div

Prognostic significance of microRNA-101 in solid tumor: A meta-analysis

<div><p>MicroRNA-101 has been reported as an important factor in carcinogenesis of several malignant tumors. However, its actual role in prognosis among solid malignancies remains unclear. Accordingly, we performed this meta-analysis aiming to identify prognostic significance of miR-101 in solid tumor. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) for overall survival (OS) or disease-free survival (DFS)/metastasis-free survival (MFS)/progression-free survival (PFS)/relapse-free survival (RFS)/time-to progression (TTP) were estimated with random effects or fixed effects models on the basis of heterogeneity. Subgroup analysis, sensitive analysis and meta-regression analysis were also conducted to clarify the possible confounding factors and investigate the source of heterogeneity. Publication bias was evaluated by using Begg’s and Egger’s tests. A total of 21 studies containing 3753 cases were selected into our quantitative analysis via electronic database search. A lower expression of miR-101 was significantly associated with worse OS (HR = 0.66, 95%CI [0.52–0.85], P = 0.001) and PFS (HR = 0.70, 95%CI [0.51–0.95], P = 0.023) in patients with solid tumor. The under-expression of miRNA-101 is a credible indicator of poorer prognosis in several of solid malignancies.</p></div

Flow diagram shows search strategy.

<p>Flow diagram shows search strategy.</p

Funnel plots to evaluate publication bias of included studies for OS.

<p>Funnel plots to evaluate publication bias of included studies for OS.</p

Funnel plots to evaluate publication bias of included studies for OS.

<p>Funnel plots to evaluate publication bias of included studies for OS.</p

Characteristics of the included articles.

<p>Characteristics of the included articles.</p

Pooled HRs for OS according to subgroup analysis.

<p>Pooled HRs for OS according to subgroup analysis.</p

Forest plots to assess the effect of elevated HK2 expression on PFS/DFS/RFS.

<p>Forest plots to assess the effect of elevated HK2 expression on PFS/DFS/RFS.</p

The main characteristics of the included studies in the meta-analysis.

<p>The main characteristics of the included studies in the meta-analysis.</p