Evidence map›Paper›PMID 29672637›Full record

SynthesisPloS one2018

Optimisation of quantitative miRNA panels to consolidate the diagnostic surveillance of HBV-related hepatocellular carcinoma.

Ngo Tat Trung, Dang Chieu Duong, Hoang Van Tong, Tran Thi Thu Hien, Phan Quoc Hoan, Mai Hong Bang, Mai Thanh Binh, Thai Doan Ky, Nguyen Lam Tung, Nguyen Tien Thinh and 7 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 30% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

17 authors at 5 institutions in 2 countries.

Ngo Tat TrungDepartment of Molecular Biology, 108 Military Central Hospital, Hanoi, Vietnam.ORCID 0000-0001-9808-1176
Dang Chieu DuongDepartment of Molecular Biology, 108 Military Central Hospital, Hanoi, Vietnam.
Hoang Van TongVietnamese-German Center of Excellence in Medical Research, Hanoi, Vietnam.
Tran Thi Thu HienDepartment of Molecular Biology, 108 Military Central Hospital, Hanoi, Vietnam.
Phan Quoc HoanDepartment of Molecular Biology, 108 Military Central Hospital, Hanoi, Vietnam.
Mai Hong BangDepartment of Gastroenterology, 108 Military Central Hospital, Hanoi, Vietnam.
Mai Thanh BinhDepartment of Gastroenterology, 108 Military Central Hospital, Hanoi, Vietnam.
Thai Doan KyDepartment of Gastroenterology, 108 Military Central Hospital, Hanoi, Vietnam.
Nguyen Lam TungDepartment of Gastroenterology, 108 Military Central Hospital, Hanoi, Vietnam.
Nguyen Tien ThinhDepartment of Gastroenterology, 108 Military Central Hospital, Hanoi, Vietnam.
Vu Viet SangVietnamese-German Center of Excellence in Medical Research, Hanoi, Vietnam.
Le Thi Phuong ThaoDepartment of Pharmacy, 108 Military Central Hospital, Hanoi, Vietnam.
C-Thomas BockInstitute of Tropical Medicine, University of Tübingen, Tübingen, Germany.
Thirumalaisamy P VelavanVietnamese-German Center of Excellence in Medical Research, Hanoi, Vietnam.
Christian G MeyerVietnamese-German Center of Excellence in Medical Research, Hanoi, Vietnam.
Le Huu SongDepartment of Molecular Biology, 108 Military Central Hospital, Hanoi, Vietnam.
Nguyen Linh ToanVietnamese-German Center of Excellence in Medical Research, Hanoi, Vietnam.
Vietnamese - German Center of Excellence in Medical Research · VN108 Military Central Hospital · VNVietnam Military Medical University · VNDuy Tan University · VNRobert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating microRNAs (miRNA) are biomarkers for several neoplastic diseases, including hepatocellular carcinoma (HCC). We performed a literature search, followed by experimental screening and validation in order to establish a miRNA panel in combination with the assessment of alpha-fetoprotein (AFP) levels and to evaluate its performance in HCC diagnostics.

methodsExpression of miRNAs was quantified by quantitative PCR (qPCR) in 406 serum samples from 118 Vietnamese patients with hepatitis B (HBV)-related HCC, 69 patients with HBV-related liver cirrhosis (LC), 100 chronic hepatitis B (CHB) patients and 119 healthy controls (HC).

resultsThree miRNAs (mir-21, mir-122, mir-192) were expressed differentially among the studied subgroups and positively correlated with AFP levels. The individual miRNAs mir-21, mir-122, mir192 or the triplex miRNA panel showed high diagnostic accuracy for HCC (HCC vs. CHB, AUC = 0.906; HCC vs. CHB+LC, AUC = 0.81; HCC vs. CHB+LC+HC, AUC = 0.854). When AFP levels were ≤20ng/ml, the triplex miRNA panel still was accurate in distinguishing HCC from the other conditions (CHB, AUC = 0.922; CHB+LC, AUC = 0.836; CHB+LC+HC, AUC = 0.862). When AFP levels were used in combination with the triplex miRNA panel, the diagnostic performance was significantly improved in discriminating HCC from the other groups (LC, AUC = 0.887; CHB, AUC = 0.948; CHB+LC, AUC = 0.887).

conclusionsThe three miRNAs mir-21, mir-122, mir-192, together with AFP, are biomarkers that may be applied to improve diagnostics of HCC in HBV patients, especially in HBV-related LC patients with normal AFP levels or HCC patients with small tumor sizes.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, HepatocellularCase-Control StudiesDisease SusceptibilityEarly Detection of CancerFemaleGene Expression ProfilingGenetic TestingHepatitis B, ChronicHumansLiver NeoplasmsMaleMicroRNAsBiomarkers, TumorMicroRNAs

Identifiers

PMID29672637
PMCPMC5908085
OpenAlexW2802408501

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.