Evidence map›Paper›PMID 28637446›Full record

ArticleBMC gastroenterology2017

miR-363-5p as potential prognostic marker for hepatocellular carcinoma indicated by weighted co-expression network analysis of miRNAs and mRNA.

Jun Zhang, Jia Fan, Chongming Zhou, Yanyu Qi

Abstract read
In one paragraph

Article in BMC gastroenterology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

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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

11 citing papers in PubMed, 1 synthesis or guideline 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

4 authors.

Jun ZhangDepartment of Oncology, The third people's hospital of Chengdu, Chengdu, 610031, China. zhangzhzhzh@hotmail.com.
Jia FanDepartment of Oncology, The third people's hospital of Chengdu, Chengdu, 610031, China.
Chongming ZhouDepartment of Oncology, The third people's hospital of Chengdu, Chengdu, 610031, China.
Yanyu QiDepartment of Oncology, The third people's hospital of Chengdu, Chengdu, 610031, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to investigate potential miRNAs and genes associated with the prognosis of hepatocellular carcinoma (HCC).

methodsWeighted co-expression network analysis was utilized to analyze the mRNA and miRNA sequencing data of HCC from TCGA (The Cancer Genome Atlas) database. Significant network modules were identified, and then functions of genes in the gene network modules and target genes of miRNAs in the miRNA network modules were explored. Additionally, correlations between network modules and prognostic factors of HCC were analyzed.

resultsIn total, 10 mRNA network modules were identified, three of which were significantly related to tumor stage, NAFLD (non-alcoholic fatty liver disease) and patient age. Four miRNA network modules were identified, of which one was associated with tumor stage. Targets of hsa-miR-363-5p were found distributed in the gene network modules, such as RGPD5, RGPD6, ZNF445 and ZNF780B. Kaplan-Meier test revealed that low expression of hsa-miR-363-5p was associated with better overall survival of HCC patients.

conclusionhsa-miR-363-5p may be a potential prognostic marker for HCC.

Indexed as

Carcinoma, HepatocellularDatabases, GeneticFemaleGene ExpressionGene Regulatory NetworksHumansKaplan-Meier EstimateLiver NeoplasmsMaleMicroRNAsNeoplasm StagingNon-alcoholic Fatty Liver DiseasePrognosisRNA, MessengerMicroRNAsMIRN363 microRNA, humanRNA, MessengerHepatocellular carcinomamicroRNAPrognosisWeighted co-expression network analysis

Identifiers

PMID28637446
PMCPMC5480191

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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.