| Literature DB >> 28721069 |
Yunfeng Zhang1, Jinbo Lin2, Wenjie Huang3, Yong Cao4, Yi Liu4, Tieqiang Wang4, Weiyi Zhong4, Dongli Wang4, Rongrong Mao4, Xiaoliang Chen4.
Abstract
PURPOSE: Abnormal expression of miR-223 in cancerous tissue has confirmed it as an important player in tumorigenesis of cancers, such as hepatocellular carcinoma, colorectal carcinoma, osteosarcoma, gastric cancer, and chronic lymphocytic leukemia. The present meta-analysis aimed to explore the association between circulating miR-223 and prognosis of cancers.Entities:
Keywords: carcinoma; meta-analysis; metastasis; miR-223; prognosis
Year: 2017 PMID: 28721069 PMCID: PMC5499933 DOI: 10.2147/OTT.S137837
Source DB: PubMed Journal: Onco Targets Ther ISSN: 1178-6930 Impact factor: 4.147
Figure 1Flow of the studies in the meta-analysis.
Basic data for all included studies in the meta-analysis
| References | Year | Country | Sample size | Cancer-type | Method | Follow-up (months) | Cutoff (high/low) | TNM stage
| Survival
| Quality score | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Low | High | Method | Outcomes | |||||||||
| Sanfiorenzo et al | 2013 | France | 52 | NSCLC | qrt-PCR | 60 | 24/28 | NR | NR | Multivariate | DFS | 8 |
| Heegaard et al | 2012 | USA | 180 | NSCLC | qrt-PCR | 60 | 90/90 | NR | NR | Univariate | OS | 8 |
| Wu et al | 2014 | China | 194 | ESCC | qrt-PCR | 60 | 113/81 | 1:3 | 1:5 | Multivariate | OS | 8 |
| 2:48 | 2:62 | |||||||||||
| 3:21 | 3:36 | |||||||||||
| 4:5 | 4:2 | |||||||||||
| Wu et al | 2014 | China | 63 | ESCC | qrt-PCR | 24 | NR | NR | NR | Univariate | OS | 8 |
| Komatsu et al | 2015 | Japan | 46 | PC | qrt-PCR | 50 | 25/20 | NR | NR | Univariate | CSS | 8 |
| Stamatopoulos et al | 2009 | Belgium | 110 | CLL | qrt-PCR | 300 | 37/73 | NR | NR | Univariate | OS, TFS | 8 |
| Zhou et al | 2012 | China | 53 | CLL | qrt-PCR | 90 | 31/22 | NR | NR | Univariate | OS, TFS | 8 |
| Dong et al | 2016 | China | 112 | OSC | qrt-PCR | 60 | 59/53 | 2a:22 | 2a:50 | Multivariate | OS | 8 |
| 2b/3:40 | 2b/3:10 | |||||||||||
| Wu et al | 2014 | China | 94 | NSCLC | qrt-PCR | 48 | 47/47 | 3:23 | 3:29 | Multivariate | OS | 8 |
| 4:24 | 4:18 | |||||||||||
| Qu | 2014 | China | 98 | MM | qrt-PCR | 48 | 49/49 | 1+2:22 | 1+2:30 | Univariate | OS, PFS | 8 |
| 3:27 | 3:19 | |||||||||||
Note:
ISS, international staging system.
Abbreviations: NSCLC, nonsmall cell lung carcinoma; ESCC, esophageal squamous cell carcinoma; PC, pancreatic cancer; CLL, chronic lymphocytic leukemia; OSC, osteosarcoma; OS, overall survival; MM, multiple myeloma; TNM, tumor node metastasis; qrt-PCR, quantitative real-time PCR; DFS, disease-free survival; TFS, treatment-free survival; CSS, cause-specific survival; PFS, progression-free survival; NR, not reported.
Figure 2Forest plot of association between circulating miR-223 expression and TNM.
Abbreviations: CI, confidence interval; M–H, Mantel–Haenszel test; TNM, tumor node metastasis.
Figure 3Forest plot showing the association between circulating miR-223 expression and OS. (A) Pooled HR of circulating miR-223 on OS of all types of cancer under random-effects model. In subgroup analyses, (B) pooled HR of circulating miR-223 on OS of chronic lymphocytic leukemia under the fixed-effects model; (C) pooled HR of circulating miR-223 on OS of nonsmall cell lung carcinoma under fixed-effects model; (D) pooled HR of circulating miR-223 on OS of esophageal squamous cell carcinoma under the random-effects model. Data are HRs and 95% CIs.
Abbreviations: SE, standard error; IV, inverse variance; CI, confidence interval; OS, overall survival; HR, hazard ratio.
Figure 4Forest plot of association between circulating miR-223 expression and TFS.
Abbreviations: CI, confidence interval; IV, inverse variance; SE, standard error; TFS, treatment-free survival.
Sensitivity analysis for the studies that resulted in loss of significance after omission
| Original summary effects
| Omitted study | Resulting summary effects
| ||||||
|---|---|---|---|---|---|---|---|---|
| HR | 95% CI | Nature of association | HR | 95% CI | Nature of association | |||
| 0.64 | 0.38–1.11 | Not significantly decreased risk | 76% | Heegaard et al | 0.59 | 0.29–1.21 | Not significantly decreased risk | 78% |
| Wu et al | 0.54 | 0.33–0.89 | Significantly decreased risk | 57% | ||||
| Wu et al | 0.57 | 0.29–1.13 | Not significantly decreased risk | 79% | ||||
| Stamatopoulos et al | 0.77 | 0.46–1.29 | Not significantly decreased risk | 71% | ||||
| Zhou et al | 0.66 | 0.38–1.13 | Significantly increased risk | 78% | ||||
| Dong et al | 0.79 | 0.48–1.30 | Not significantly decreased risk | 69% | ||||
| Wu et al | 0.61 | 0.33–1.13 | Not significantly decreased risk | 79% | ||||
| Qu | 0.65 | 0.37–1.14 | Not significantly decreased risk | 79% | ||||
Abbreviations: CI, confidence interval; HR, hazard ratio.
Figure 5Begg’s funnel plot of the association between circulating miR-223 and OS in all cancer types under random-effects model.
Abbreviations: OS, overall survival; SE, standard error.