Evidence map›Paper›PMID 29715309›Full record

ArticlePloS one2018

Identification of cancer-related miRNA-lncRNA biomarkers using a basic miRNA-lncRNA network.

Guangle Zhang, Cong Pian, Zhi Chen, Jin Zhang, Mingmin Xu, Liangyun Zhang, Yuanyuan Chen

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
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

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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

36 citing papers in PubMed.

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  13. Quantitative Expression ofGenetics 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.

Guangle ZhangDepartment of Mathematics, College of Science, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Cong PianMinistry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Science, Zhejiang University, Hangzhou, Zhejiang, China.
Zhi ChenDepartment of Mathematics, College of Science, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Jin ZhangDepartment of Mathematics, College of Science, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Mingmin XuDepartment of Mathematics, College of Science, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Liangyun ZhangDepartment of Mathematics, College of Science, Nanjing Agricultural University, Nanjing, Jiangsu, China.ORCID 0000-0003-2425-9650
Yuanyuan ChenDepartment of Mathematics, College of Science, Nanjing Agricultural University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

LncRNAs are regulatory noncoding RNAs that play crucial roles in many biological processes. The dysregulation of lncRNA is thought to be involved in many complex diseases; lncRNAs are often the targets of miRNAs in the indirect regulation of gene expression. Numerous studies have indicated that miRNA-lncRNA interactions are closely related to the occurrence and development of cancers. Thus, it is important to develop an effective method for the identification of cancer-related miRNA-lncRNA interactions. In this study, we compiled 155653 experimentally validated and predicted miRNA-lncRNA associations, which we defined as basic interactions. We next constructed an individual-specific miRNA-lncRNA network (ISMLN) for each cancer sample and a basic miRNA-lncRNA network (BMLN) for each type of cancer by examining the expression profiles of miRNAs and lncRNAs in the TCGA (The Cancer Genome Atlas) database. We then selected potential miRNA-lncRNA biomarkers based on the BLMN. Using this method, we identified cancer-related miRNA-lncRNA biomarkers and modules specific to a certain cancer. This method of profiling will contribute to the diagnosis and treatment of cancers at the level of gene regulatory networks.

Indexed as

Biomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMicroRNAsNeoplasmsRNA, Long NoncodingBiomarkers, TumorMicroRNAsRNA, Long Noncoding

Identifiers

PMID29715309
PMCPMC5929565

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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.