Evidence map›Paper›PMID 33435769›Full record

ArticleThe Journal of international medical research2021

Expression and clinical significance of miR-3615 in hepatocellular carcinoma.

Xin Yuan, Yize Zhang, Zujiang Yu

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2021. 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
0.8field-weighted citation impact, top 36% 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, 13 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

3 authors at 1 institution in 1 country.

Xin YuanGene Hospital of Henan Province, Precision Medicine Center, Zhengzhou, Henan Province, China.ORCID https://orcid.org/0000-0002-4355-0331
Yize ZhangGene Hospital of Henan Province, Precision Medicine Center, Zhengzhou, Henan Province, China.
Zujiang YuGene Hospital of Henan Province, Precision Medicine Center, Zhengzhou, Henan Province, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the association between microRNA-3615 (miR-3615) expression and the prognosis and clinicopathological features in patients with hepatocellular carcinoma (HCC).

methodsWe obtained clinicopathological and genomic data and prognostic information on HCC patients from The Cancer Genome Atlas (TCGA) database. We then analyzed differences in miR-3615 expression levels between HCC and adjacent tissues using SPSS software, and examined the relationships between miR-3615 expression levels and clinicopathological characteristics. We also explored the influence of miR-3615 expression levels on the prognosis of HCC patients using Kaplan-Meier survival curve analysis.

resultsBased on data for 345 HCC and 50 adjacent normal tissue samples, expression levels of miR-3615 were significantly higher in HCC tissues compared with adjacent tissues. MiR-3615 expression levels in HCC patients were negatively correlated with overall survival time and positively correlated with high TNM stage, serum Ki-67 expression level, and serum alpha-fetoprotein level. There were no significant correlations between miR-3615 expression and age, sex, and pathological grade.

conclusionMiR-3615 may be a promising new biomarker and prognostic factor for HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMicroRNAsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimatePrognosisBiomarkers, TumorMicroRNAsgene expressionhepatocellular carcinomaMicroRNA-3615prognosissurvivalThe Cancer Genome Atlas

Identifiers

PMID33435769
PMCPMC7809312
OpenAlexW3119808751

What OpenQuestion holds

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Registered trials

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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.