Evidence map›Paper›PMID 28079796›Full record

Observational studyMedicine2017

Serum microRNA panel for early diagnosis of the onset of hepatocellular carcinoma.

Ying Zhang, Tao Li, Yumin Qiu, Tao Zhang, Pengbo Guo, Xiaomin Ma, Qing Wei, Lihui Han

Open access · goldAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 4 pooled it
4.3field-weighted citation impact, top 4% 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

65 citing papers in PubMed, 4 syntheses or guidelines pooled it, 91 citations in OpenAlex.

  1. Pooled it
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  4. [Molecular markers for the monitoring of malignant transformation of hepatocytes and early diagnosis of liver cancer].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2017
    Guideline
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5 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Ying ZhangaDepartment of Immunology, Shandong University School of Medicine bDepartment of Infectious Diseases, Provincial Hospital Affiliated to Shandong University cDepartment of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, China.
Tao Li
Yumin Qiu
Tao Zhang
Pengbo Guo
Xiaomin Ma
Qing Wei
Lihui Han
Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unique change of circulating microRNAs (miRNAs) was recognized to occur in early oncogenesis, which conferred it the potential as biomarkers for early detection of cancer. However, its diagnostic capability for hepatocellular carcinoma (HCC) has not been fully understood. In this study, microarray analysis was applied to screen the initial candidate miRNA from both the supernatants of anoikis-resistant cellular models and the sera samples of HCC patients. The selected differentially expressed miRNAs were further verified in 115 HCC patients and 40 health controls by qRT-PCR. Among these, 4 miRNAs (miR-16-2-3p, 92a-3p, 107, and 3126-5p) were significantly changed in HCC patients compared with controls. Logistic regression analysis identified a 3-miRNA panel (miR-92-3p, miR-107, and miR-3126-5p) as valuable diagnostic marker for HCC, especially for early stage patients (AUC = 0.975) and for low-level AFP HCC patients (AUC = 0.971). In addition, the combination of 3-miRNA panel and AFP was even more effective for discriminating the early stage HCC patients (AUC = 0.988) and low-level AFP HCC patients (AUC = 0.989) from control. In conclusion, diagnostic efficacy of the combination of 3-miRNA panel and AFP was powerful for HCC diagnosis, especially in early tumor screening and low-level AFP patients.

Indexed as

AdultAgedalpha-FetoproteinsCarcinoma, HepatocellularCase-Control StudiesEarly DiagnosisFemaleHep G2 CellsHumansLiver NeoplasmsMaleMicroRNAsMiddle Agedalpha-FetoproteinsMicroRNAsMIRN107 microRNA, humanMIRN3126 microRNA, humanMIRN92 microRNA, human

Identifiers

PMID28079796
PMCPMC5266158
OpenAlexW2575253560

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.