Evidence map›Paper›PMID 34806748›Full record

ArticleBioscience reports2021

Bioinformatics analysis of tumor-educated platelet microRNAs in patients with hepatocellular carcinoma.

Beibei Zhu, Shanshan Gu, Xiaoting Wu, Wenyong He, Hongke Zhou

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 27 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

5 authors at 1 institution in 1 country.

Beibei Zhu *Department of Gastroenterology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510632, China.ORCID 0000-0001-5458-7837
Shanshan Gu *Department of Gastroenterology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510632, China.
Xiaoting WuDepartment of Gastroenterology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510632, China.
Wenyong HeDepartment of Gastroenterology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510632, China.
Hongke Zhou *Department of Gastroenterology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510632, China.ORCID 0000-0002-7349-8458
First Affiliated Hospital of Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is one of the most prevalent malignancies that seriously threaten global health. The primary reason for its grim prognosis is the lack of sensitive tools for early diagnosis. The purpose of the present study was to apply bioinformatics analysis to explore tumor-educated platelet (TEP) microRNA (miRNA) expression and its potential diagnostic utility in HCC.

methodsTwenty-five HCC patients and 25 healthy controls were included. RNA sequencing was utilized to screen miRNA alterations in platelets derived from HCC patients (n=5) and controls (n=5). Gene set enrichment analysis was performed to analyze the targeted mRNAs of differentially expressed miRNAs by using the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, aiming at main functions and pathways, respectively. We then verified the selected platelet miRNAs in another cohort by quantitative reverse transcription-polymerase chain reaction (qRT-PCR) amplification.

resultsA total of 250 differentially expressed miRNAs were identified, among which 111 were down-regulated and 139 were up-regulated. The functional enrichment analysis of differentially expressed miRNAs suggested that their target genes were involved primarily in pathways related to HCC. Expression levels of miR-495-3p and miR-1293 were further validated by qRT-PCR, which yielded results consistent with the sequencing analysis. The area under the receiver operating characteristic (ROC) curve of miR-495-3p and miR-1293 as diagnostic tests for HCC were 0.76 and 0.78, respectively.

conclusionTEP miRNAs such as miR-495-3p and miR-1293 were differentially expressed in HCC patients, and may be involved in the pathophysiology of HCC.

Indexed as

TranscriptomeAdultBlood PlateletsCarcinoma, HepatocellularCase-Control StudiesComputational BiologyDatabases, GeneticFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansLiver NeoplasmsMaleMicroRNAsMiddle AgedMicroRNAsMIRN1293 microRNA, humanMIRN495 microRNA, humanbioinformatics analysishepatocellular carcinomamicroRNAtumor-educated platelets

Identifiers

PMID34806748
PMCPMC8661502
OpenAlexW3217205025

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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.