Evidence map›Paper›PMID 36829221›Full record

ArticleBiology direct2023

Mir-421 and mir-550a-1 are potential prognostic markers in esophageal adenocarcinoma.

Yun Ji, Lulu Wang, Guanglei Chang, Juan Yan, Liping Dai, Zhenyu Ji, Jingjing Liu, Meixia He, Hongliang Xu, Liguo Zhang

Open access · goldAbstract read
In one paragraph

Article in Biology direct, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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  5. The Expression Patterns and Implications ofInternational journal of molecular sciences · 2023
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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

10 authors at 2 institutions in 2 countries.

Yun Ji *BGI College, Zhengzhou University, No. 40 Daxue Road, Zhengzhou, 450007, China.
Lulu Wang *BGI College, Zhengzhou University, No. 40 Daxue Road, Zhengzhou, 450007, China.
Guanglei ChangBGI College, Zhengzhou University, No. 40 Daxue Road, Zhengzhou, 450007, China.
Juan YanBGI College, Zhengzhou University, No. 40 Daxue Road, Zhengzhou, 450007, China.
Liping DaiBGI College, Zhengzhou University, No. 40 Daxue Road, Zhengzhou, 450007, China.
Zhenyu JiBGI College, Zhengzhou University, No. 40 Daxue Road, Zhengzhou, 450007, China.
Jingjing LiuBGI College, Zhengzhou University, No. 40 Daxue Road, Zhengzhou, 450007, China.
Meixia HeBGI College, Zhengzhou University, No. 40 Daxue Road, Zhengzhou, 450007, China.
Hongliang XuDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, China.
Liguo ZhangBGI College, Zhengzhou University, No. 40 Daxue Road, Zhengzhou, 450007, China. lgzhang@zzu.edu.cn.
Zhengzhou University · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify the prognostic indicators of esophageal adenocarcinoma (EAC) for future EAC diagnosis and treatment.

methodsThe EAC dataset from The Cancer Genome Atlas was screened for differentially expressed microRNAs (miRNAs) and mRNAs associated with EAC. Weighted gene coexpression network analysis was performed to cluster miRNAs or mRNA with similar expression patterns to identify the miRNAs or mRNA that are highly associated with EAC. Prognostic miRNAs for overall survival (OS) were identified using Cox proportional-hazards regression analysis and least absolute shrinkage and selection operator based on survival duration and status. Two types of miRNAs were selected to develop a prognostic signature model for EAC using multiple Cox regression analysis. Furthermore, the signature was validated using internal validation sets 1 and 2. The receiver operating characteristic curve and concordance index were used to evaluate the accuracy of the signature and validation sets. The expression of miR-421, miR-550a-3p, and miR-550a-5p was assessed using quantitative polymerase chain reaction (qPCR). The proliferation, invasion, and migration of EAC cells were assessed using CCK8 and transwell assays. The OS of target mRNAs was assessed using Kaplan-Meier analysis. Functional enrichment analysis of the target mRNAs was performed using Metascape.

resultsThe prognostic signature and validation sets comprising mir-421 and mir-550a-1 had favorable predictive power in OS. Compared with the patients with EAC in the high-expression group, those assigned to the low-expression group displayed increased OS according to survival analysis. Differential and qPCR analysis showed that miR-421, miR-550a-3p, and miR-550a-5p were highly expressed in the EAC tissues and cell lines. Moreover, the downregulation of miR-421 and miR-550a-3p with inhibitor markedly suppressed the proliferation, invasion, and migration in OE33 cells compared with the negative control. A total of 20 target mRNAs of three miRNAs were predicted, among which seven target mRNAs-ASAP3, BCL2L2, LMF1, PPM1L, PTPN21, SLC18A2, and NR3C2-had prognostic value; PRKACB, PDCD4, RPS6KA5, and BCL2L2 were enriched in the miRNA cancer pathway.

conclusionPrognostic indicators of EAC may be useful in future EAC diagnosis and treatment.

Indexed as

AdenocarcinomaMicroRNAsApoptosis Regulatory ProteinsEsophageal NeoplasmsGene Expression Regulation, NeoplasticHumansPrognosisRNA-Binding ProteinsRNA, MessengerApoptosis Regulatory ProteinsMicroRNAsMIRN421 microRNA, humanPDCD4 protein, humanRNA-Binding ProteinsRNA, MessengerEsophageal adenocarcinomaMir-421Mir-550a-1miRNAPrognostic marker

Identifiers

PMID36829221
PMCPMC9951500
OpenAlexW4321790409

What OpenQuestion holds

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LicenceCC BY
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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.