Evidence map›Paper›PMID 34558724›Full record

ArticleJournal of clinical laboratory analysis2021

N-6 methylation-related lncRNA is potential signature in lung adenocarcinoma and influences tumor microenvironment.

Jian Zheng, Zhuochen Zhao, Junhu Wan, Manman Guo, Yangxia Wang, Zhengwu Yang, Zhuofang Li, Liang Ming, Zhaobing Qin

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 40 citations in OpenAlex.

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  15. Possible causes of atherosclerosis: lncRNAAnnals of translational medicine · 2022
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  17. Frontiers in genetics · 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

9 authors at 1 institution in 1 country.

Jian ZhengDepartment of Otolaryngology, The First Affiliated Hospital of Zhengzhou University, Henan, China.
Zhuochen ZhaoDepartment of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Henan, China.ORCID https://orcid.org/0000-0001-9187-0199
Junhu WanDepartment of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Henan, China.
Manman GuoDepartment of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Henan, China.
Yangxia WangDepartment of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Henan, China.
Zhengwu YangDepartment of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Henan, China.
Zhuofang LiDepartment of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Henan, China.
Liang MingDepartment of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Henan, China.ORCID https://orcid.org/0000-0002-3622-3965
Zhaobing QinDepartment of Otolaryngology, The First Affiliated Hospital of Zhengzhou University, Henan, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

Henan Provincial Health and Health Commission, medical science and Technology, provincial ministry co-construction project SBGJ2018018National Natural Science Foundation of China 81702780Science and Technology Project of Henan province of China 202102310112
6 · The paper itself

Abstract

backgroundN-6 methylation (m6A) pushes forward an immense influence on the occurrence and development of lung adenocarcinoma (LUAD). However, the methylation on non-coding RNA in LUAD, especially long non-coding RNA (lncRNA), has not been received sufficient attention.

methodsSpearman correlation analysis was used to screen lncRNA correlated with m6A regulators expression from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) repositories, respectively. Then, the least absolute shrinkage and selection operator (LASSO) was applied to build a risk signature consisting m6A-related lncRNA. Univariate and multivariate independent prognostic analysis were applied to evaluate the performance of signature in predicting patients' survival. Next, we applied Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) to conduct pathway enrichment analysis of 3344 different expression genes (DEGs). Finally, we set up a competing endogenous RNAs (ceRNA) network to this lncRNA.

resultsA total of 85 common lncRNAs were selected to acquire the components related to prognosis. The final risk signature established by LASSO regression contained 11 lncRNAs: ARHGEF26-AS1, COLCA1, CRNDE, DLGAP1-AS2, FENDRR, LINC00968, TMPO-AS1, TRG-AS1, MGC32805, RPARP-AS1, and TBX5-AS1. M6A-related lncRNA risk score could predict the prognostic of LUAD and was significantly associated with clinical pathological. And in the evaluation of lung adenocarcinoma tumor microenvironment (TME) by using ESTIMATE algorithm, we found a statistically significant correlation between risk score and stromal/immune cells.

conclusionM6A-related lncRNA was a potential prognostic and therapy target for lung adenocarcinoma.

Indexed as

Adenocarcinoma of LungLung NeoplasmsRNA, Long NoncodingAdenosineAgedComputational BiologyDNA MethylationFemaleHumansMaleMiddle AgedTranscriptomeTumor MicroenvironmentAdenosineN-methyladenosineRNA, Long NoncodingbioinformaticslncRNAlung adenocarcinomam6Atumor microenvironment

Identifiers

PMID34558724
PMCPMC8605119
OpenAlexW3199458831

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.