Evidence map›Paper›PMID 29340250›Full record

ArticlePeerJ2018

Integrated genomic analyses of lung squamous cell carcinoma for identification of a possible competitive endogenous RNA network by means of TCGA datasets.

Pengbo Ning, Zhongxing Wu, Aoxue Hu, Xuepeng Li, Jun He, Xiaocheng Gong, Yuqiong Xia, Yukui Shang, Huijie Bian

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 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
2.9field-weighted citation impact, top 9% 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

36 citing papers in PubMed, 59 citations in OpenAlex.

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  7. Host gene and its guest: short story about relation of long-noncodingReports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023
    Review
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  10. FAM83A antisense RNA 1 (Bioengineered · 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 3 institutions in 1 country.

Pengbo NingSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Zhongxing WuSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Aoxue HuSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Xuepeng LiSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Jun HeSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Xiaocheng GongSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Yuqiong XiaSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Yukui ShangDepartment of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an, Shaanxi, China.ORCID 0000-0003-3061-2465
Huijie BianDepartment of Cell Biology, National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi'an, Shaanxi, China.
Xidian University · CNAir Force Medical University · CNMinistry of Education of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The etiology of cancer includes aberrant cellular homeostasis where a compromised RNA regulatory network is a prominent contributing factor. In particular, noncoding RNAs including microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) were recently shown to play important roles in the initiation, progression, and metastasis of human cancers. Nonetheless, a mechanistic understanding of noncoding RNA functions in lung squamous cell carcinoma (LUSC) is lacking. To fill this critical gap in knowledge, we obtained mRNA, miRNA, and lncRNA expression data on patients with LUSC from the updated Cancer Genome Atlas (TCGA) database (2016). We successfully identified 3,366 mRNAs, 79 miRNAs, and 151 lncRNAs as key contributing factors of a high risk of LUSC. Furthermore, we hypothesized that the lncRNA-miRNA-mRNA regulatory axis positively correlates with LUSC and constructed a competitive endogenous RNA (ceRNA) network of LUSC by targeting interrelations with significantly aberrant expression data between miRNA and mRNA or lncRNA. Six ceRNAs (PLAU, miR-31-5p, miR-455-3p, FAM83A-AS1, MIR31HG, and MIR99AHG) significantly correlated with survival (

Indexed as

ceRNA networklncRNALung squamous cell carcinomamicroRNAOverall survival

Identifiers

PMID29340250
PMCPMC5768173
OpenAlexW2783751074

What OpenQuestion holds

Textmetadata
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.