Evidence map›Paper›PMID 31938193›Full record

ArticleInternational journal of clinical and experimental pathology2018

Cluster of specified microRNAs in tissues and serum as biomarkers for early diagnosis of hepatocellular carcinoma.

Zhihua Lv, Yu Tao, Xuan Cai, Xin Zhou, Yan Li

Abstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 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

3 citing papers in PubMed, 2 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.

Zhihua LvDepartment of Clinical Laboratory, Rennin Hospital of Wuhan University Wuhan 430060, Hubei, China.
Yu TaoDepartment of Nephrology, Renmin Hospital of Wuhan University Wuhan 430060, Hubei, China.
Xuan CaiDepartment of Clinical Laboratory, Rennin Hospital of Wuhan University Wuhan 430060, Hubei, China.
Xin ZhouDepartment of Clinical Laboratory Medicine and Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University Wuhan 430071, Hubei, China.
Yan LiDepartment of Clinical Laboratory, Rennin Hospital of Wuhan University Wuhan 430060, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHepatocellular carcinoma (HCC) is a global public health concern that lacks efficient methods for early diagnosis. Accumulated evidence has revealed great potential using microRNAs (miRNAs) as noninvasive biomarkers in HCC detection.

methodsSerum miRNAs (miR21, miR122, miR-214, miR15b, and let-7f) were detected in 75 patients with HCC and 80 healthy controls (HC). In addition, 75 HCC tissues and paired normal adjacent tissues were also analyzed for comparison. Quantified by real-time quantitative RT-PCR was used to evaluate the expression of miRNAs.

resultsWe discovered significant up-regulation of miR-21 (P < 0.001) and miR-15b (P < 0.001) as well as a down-regulation of miR-122 (P = 0.01) in HCC tissues compared to adjacent non-tumor tissues. Additionally, miR-21 (P < 0.001) and miR-15b (P < 0.001) levels were upregulated in serum and miR-214 (P = 0.01) was decreased in HCC patients compared to that in healthy controls. Multivariate logistic regression analysis showed that serum miR-21 (OR = 1.68, P = 0.012) and miR-15b (OR = 1.736,

conclusionOur results suggest that these serum miRNAs may be useful markers for discriminating HCC patients from healthy controls. Combined determination of circulating miR-21, miR-122, miR-214, and miR-15b has great potential to serve as an accurate and noninvasive biomarker for the early HCC preliminary screening.

Indexed as

biomarkersdiagnosisHepatocellular carcinomamiRNAs

Identifiers

PMID31938193
PMCPMC6958011

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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.