Evidence map›Paper›PMID 30921182›Full record

SynthesisMedicine2019

The clinical significance of microRNA-122 in predicting the prognosis of patients with hepatocellular carcinoma: A meta-analysis validated by the Cancer Genome Atlas dataset.

Yanfang Zhang, Yongguo Li, Wenhui Jiang, Qian Li, Yinghua Lan

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yanfang ZhangDepartment of Infectious Diseases, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Yongguo Li
Wenhui Jiang
Qian Li
Yinghua Lan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the prognostic value of microRNA-122 (miR-122) for hepatocellular carcinoma (HCC) patients have been evaluated by numerous studies, the results of them were not completely consistent. The present study aims to comprehensively evaluate the predicting value of miR-122 on the prognosis of patients with HCC based on all eligible literatures.

methodsNumerous electronic databases (MEDLINE, Embase, Pubmed, Google Scholar, and China Biology Medicine disc) were applied to retrieve relevant studies. Overall survival (OS) and progression-free survival (PFS) were used as primary endpoints. All statistical analyses were performed by RevMan software version 5.3.5 and STATA software version 14.1. In addition, the results of this meta-analysis were validated by an independent dataset from the Cancer Genome Atlas (TCGA).

resultsA total of 11 studies containing 1124 patients were included in this meta-analysis. The pooled results showed that low miR-122 expression in HCC tissues significantly associated with unfavorable OS (hazard ratio [HR] = 1.48, 95% confidence interval [CI] 1.22-1.80, P < .001) and PFS (HR = 1.54, 95% CI 1.28-1.85, P < .001) in patients with HCC. However, the expression level of miR-122 in blood did not have the ability in predicting OS (HR = 0.75, 95% CI 0.44-1.28, P = .29) and PFS (HR = 0.84, 95% CI 0.58-1.20, P = .33) of HCC. Subgroup analysis further indicated that low expression of miR-122 in tumor tissues predicted poor OS in HCC patients who received curative liver resection (HR = 2.00, 95% CI 1.08-3.70, P = .03). Analysis using TCGA dataset suggested that low miR-122 expression in HCC tissues was significantly associated with OS (HR = 1.61, 95% CI 1.13-2.27, P = .008) other than PFS (HR = 1.30, 95% CI 0.96-1.75, P = .09).

conclusionLow miR-122 expression in HCC tissues was a reliable indicator for predicting the OS of HCC patients who underwent curative resection. Owing to the disagreement between this meta-analysis and the TCGA dataset, the predictive value of miR-122 in tissues for PFS needs to be verified by future well-designed studies with large sample size.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularDisease-Free SurvivalHumansLiver NeoplasmsMicroRNAsPredictive Value of TestsPrognosisBiomarkers, TumorMicroRNAsMIRN122 microRNA, human

Identifiers

PMID30921182
PMCPMC6456118

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.