Evidence map›Paper›PMID 31285869›Full record

ArticleJournal of thoracic disease2019

The construction and analysis of the aberrant lncRNA-miRNA-mRNA network in non-small cell lung cancer.

Xiaoyuan Wang, Hang Yin, Luquan Zhang, Dayong Zheng, Yingnan Yang, Jinfeng Zhang, Hao Jiang, Xiaodong Ling, Yanzhong Xin, Hao Liang and 3 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

31 citing papers in PubMed.

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  8. MicroRNA-1: Diverse role of a small player in multiple cancers.Seminars in cell & developmental biology · 2022
    Review
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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

13 authors.

Xiaoyuan WangDepartment of Thoracic Surgery, Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Hang YinDepartment of Radiotherapy Oncology, Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Luquan ZhangDepartment of Thoracic Surgery, Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Dayong ZhengDepartment of Thoracic Surgery, Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Yingnan YangDepartment of Thoracic Surgery, Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Jinfeng ZhangDepartment of Thoracic Surgery, Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Hao JiangDepartment of Thoracic Surgery, Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Xiaodong LingDepartment of Thoracic Surgery, Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Yanzhong XinDepartment of Thoracic Surgery, Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Hao LiangDepartment of Thoracic Surgery, Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Chengyuan FangDepartment of Thoracic Surgery, Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Jianqun MaDepartment of Thoracic Surgery, Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Jinhong ZhuDepartment of Clinical Laboratory, Molecular Epidemiology Laboratory, Harbin Medical University Cancer Hospital, Harbin 150040, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-small cell lung cancer (NSCLC) is the most common cancer and the pathogenesis remain unclear. According to the competing endogenous RNA (ceRNA) theory, long noncoding RNA (lncRNA) have a competition with mRNAs for the connecting with miRNAs that affecting the level of mRNA. In this work, the ceRNA network and the important genes to predict the survival prognosis were explored.

methodsIn the study, we recognized differently expressed genes (mRNAs, lncRNAs and miRNAs) between NSCLC and normal tissues from The Cancer Genome Atlas database (fold change >2, P<0.01) using edgeR. Then, the interaction between lncRNA and miRNA or mRNA and miRNA was explored by miRcode, miRDB, TargetScan, and miRanda. Furthermore, the functions and KEGG pathway were analyzed with DAVID and KOBAS. The connections of these mRNAs were explored by STRING online database. The relation between genes in the network and survival time were further explored by survival package in R.

resultsBy bioinformatics tools, we explored 155 lncRNAs, 30 miRNAs and 68 mRNAs and constructed ceRNA network. The functions and KEGG pathway of 68 mRNAs were further analyzed. AQP2, EGF, SLC12A1, TRPV5 and AVPR2 was in the center of network and may play key roles in the development of NSCLC. And mRNA (CCNB1, COL1A1, E2F7, EGLN3, FOXG1 and PFKP), miRNA (miR-31, miR-144 and miR-192) and lncRNA (AC080129.1, AC100791.1, AL163952.1, AP000525.1, AP003064.2, C2orf48, C10orf91, FGF12-AS2, HOTAIR, LINC00518, LNX1-AS1, MED4-AS1, MIG31HG, MUC2, TTTY16 and UCA1) were closely related with overall survival (OS).

conclusionsIn summary, the present study provides a deeper understanding of the lncRNA-related ceRNA network in NSCLC and some genes may be new target to treat for NSCLC patients.

Indexed as

competing endogenous RNAs networkLong noncoding RNAs (lncRNAs)non-small cell lung cancer (NSCLC)STRINGThe Cancer Genome Atlas

Identifiers

PMID31285869
PMCPMC6588744

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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.