Evidence map›Paper›PMID 28521446›Full record

ArticleOncology letters2017

Candidate miRNAs and pathogenesis investigation for hepatocellular carcinoma based on bioinformatics analysis.

Wenbin Ding, Haixia Yang, Shenchu Gong, Weixiang Shi, Jing Xiao, Jinhua Gu, Yilang Wang, Bosheng He

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 32% of its field
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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Relationship between peripheral bloodFrontiers in immunology · 2025
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  7. Diagnostic value of a microRNA signature panel in exosomes for patients with hepatocellular carcinoma.International journal of clinical and experimental pathology · 2019
    Article
  8. Article
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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

8 authors at 3 institutions in 1 country.

Wenbin DingDepartment of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Haixia YangDepartment of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Shenchu GongDepartment of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Weixiang ShiDepartment of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Jing XiaoDepartment of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, Jiangsu 226019, P.R. China.
Jinhua GuDepartment of Pathophysiology, Nantong University Medical School, Nantong, Jiangsu 226001, P.R. China.
Yilang WangDepartment of Oncology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Bosheng HeDepartment of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Nantong University · CNSecond Affiliated Hospital of Nantong UniversityAffiliated Hospital of Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to explore the mechanisms behind the development and progression of hepatocellular carcinoma (HCC) and identify information regarding HCC-related microRNAs (miRNAs) or marker genes for the gene therapy of HCC. Gene expression profile of GSE67882, generated from 4 hepatitis B virus infected HCC tissue samples (HCC group) and 8 chronic hepatitis B tissue samples with no fibrosis (control group) were downloaded from the Gene Expression Omnibus database. The differentially expressed miRNAs functional enrichment and pathway analyses of HCC were revealed, followed by transcription factor-miRNA interaction network construction and analyses. A total of 14 upregulated miRNAs and 16 downregulated miRNAs between HCC and control samples were obtained. Differentially expressed miRNAs were mainly involved in biological processes like the regulation of histone H3-K9 methylation, and the KEGG pathways in cancer map05200 demonstrates their involvement in cancer. A total of 3 outstanding regulatory networks of miRNAs:

Indexed as

differentially expressed microRNAsfunctional enrichment analysishepatocellular carcinomapathway analysistranscription factors

Identifiers

PMID28521446
PMCPMC5431310
OpenAlexW2600529259

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.