Evidence map›Paper›PMID 31164492›Full record

ArticleAging2019

Prediction of competing endogenous RNA coexpression network as prognostic markers in AML.

Jun-Dan Wang, Hong-Sheng Zhou, Xi-Xiang Tu, Yi He, Qi-Fa Liu, Quentin Liu, Zi-Jie Long

Open access · greenAbstract read
In one paragraph

Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.1field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 82 citations in OpenAlex.

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  15. A novel immune prognostic model of non-M3 acute myeloid leukemia.American journal of translational research · 2022
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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

7 authors at 4 institutions in 1 country.

Jun-Dan Wang *Department of Hematology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Hong-Sheng Zhou *Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xi-Xiang TuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yi HeDepartment of Hematology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Qi-Fa LiuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Quentin LiuDepartment of Hematology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zi-Jie LongDepartment of Hematology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Southern Medical University · CNSun Yat-sen University · CNNanfang Hospital · CNThird Affiliated Hospital of Sun Yat-sen University · CN

Funding

Next Generation Sequencing of Human Alcoholic BrainU01AA020926 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI Roy DAYNE MAYFIELD · 2011 to 2026
$6.7M
NIAAA NIH HHS U01 AA020926
6 · The paper itself

Abstract

Recently, competing endogenous RNAs (ceRNAs) hypothesis has gained a great interest in the study of molecular biological mechanisms of cancer occurrence and progression. However, studies on leukemia are limited, and there is still a lack of comprehensive analysis of lncRNA-miRNA-mRNA ceRNA regulatory network of AML based on high-throughput sequencing and large-scale sample size. We obtained RNA-Seq data and compared the expression profiles between 407 normal whole blood (GTEx) and 151 bone marrows of AML (TCGA). The similarity between two sets of genes with trait in the network was analyzed by weighted correlation network analysis (WGCNA). MiRcode, starBase, miRTarBase, miRDB and TargetScan was used to predict interactions between lncRNAs, miRNAs and target mRNAs. At last, we identified 108 lncRNAs, 10 miRNAs and 8 mRNAs to construct a lncRNA-miRNA-mRNA ceRNA network, which might act as prognostic biomarkers of AML. Among the network, a survival model with 8 target mRNAs (HOXA9+INSR+KRIT1+MYB+SPRY2+UBE2V1+WEE1+ZNF711) was set up by univariate and multivariate cox proportional hazard regression analysis, of which the AUC was 0.831, indicating its sensitivity and specificity in AML prognostic prediction. CeRNA networks could provide further insight into the study on gene regulation and AML prognosis.

Indexed as

AdultAgedBone MarrowCase-Control StudiesFemaleGene Expression ProfilingHumansLeukemia, Myeloid, AcuteMaleMicroRNAsMiddle AgedProportional Hazards ModelsRNA, Long NoncodingRNA, MessengerMicroRNAsRNA, Long NoncodingRNA, Messengerage-related diseasesagingAMLceRNA coexpression networkprognostic markers

Identifiers

PMID31164492
PMCPMC6555472
OpenAlexW2947193074

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.