Evidence map›Paper›PMID 27634901›Full record

ArticleOncotarget2016

Identification of long non-coding RNAs biomarkers for early diagnosis of myocardial infarction from the dysregulated coding-non-coding co-expression network.

Chaoyu Sun, Hao Jiang, Zhiguo Sun, Yifang Gui, Hongyuan Xia

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

20 citing papers in PubMed, 25 citations in OpenAlex.

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  19. LncRNA260-specific siRNA targetingJournal of thoracic disease · 2017
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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 3 institutions in 1 country.

Chaoyu SunDepartment of cardiology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Hao JiangDepartment of General Surgery, The Affiliated Hongqi Hospital of Mudanjiang Medical University, Mudanjiang 157011, China.
Zhiguo SunDepartment of General Surgery, The Affiliated Hongqi Hospital of Mudanjiang Medical University, Mudanjiang 157011, China.
Yifang GuiThe Clinical laboratory, The Affiliated Hongqi Hospital of Mudanjiang Medical University, Mudanjiang 157011, China.
Hongyuan XiaDepartment of cardiology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Mudanjiang Medical University · CNFourth Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) have recently been shown as novel promising diagnostic or prognostic biomarkers for various cancers. However, lncRNA expression patterns and their predictive value in early diagnosis of myocardial infarction (MI) have not been systematically investigated. In our study, we performed a comprehensive analysis of lncRNA expression profiles in MI and found altered lncRNA expression pattern in MI compared to healthy samples. We then constructed a lncRNA-mRNA dysregulation network (DLMCEN) by integrating aberrant lncRNAs, mRNAs and their co-dysregulation relationships, and found that some of mRNAs were previously reported to be involved in cardiovascular disease, suggesting the functional roles of dysregulated lncRNAs in the pathogenesis of MI. Therefore, using support vector machine (SVM) and leave one out cross-validation (LOOCV), we developed a 9-lncRNA signature (termed 9LncSigAMI) from the discovery cohort which could distinguish MI patients from healthy samples with accuracy of 95.96%, sensitivity of 93.88% and specificity of 98%, and validated its predictive power in early diagnosis of MI in another completely independent cohort. Functional analysis demonstrated that these nine lncRNA biomarkers in the 9LncSigAMI may be involved in myocardial innate immune and inflammatory response, and their deregulation may lead to the dysfunction of the inflammatory and immune system contributing to MI recurrence. With prospective validation, the 9LncSigAMI identified by our work will provide additional diagnostic information beyond other known clinical parameters, and increase the understanding of the molecular mechanism underlying the pathogenesis of MI.

Indexed as

Gene Expression RegulationGene Regulatory NetworksBiomarkersComputational BiologyGene Expression ProfilingHumansMyocardial InfarctionReproducibility of ResultsRNA, Long NoncodingRNA, MessengerSupport Vector MachineTranscriptomeBiomarkersRNA, Long NoncodingRNA, Messengerbiomarkersdiagnosislong non-coding RNAsmyocardial infarction

Identifiers

PMID27634901
PMCPMC5341997
OpenAlexW2520681140

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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.