Evidence map›Paper›PMID 29127420›Full record

Trial reportScientific reports2017

Genome-wide analyses of long noncoding RNA expression profiles in lung adenocarcinoma.

Zhenzi Peng, Jun Wang, Bin Shan, Fulai Yuan, Bin Li, Yeping Dong, Wei Peng, Wenwen Shi, Yuanda Cheng, Yang Gao and 2 more

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  7. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2020
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  9. 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

12 authors at 2 institutions in 2 countries.

Zhenzi PengInstitute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.
Jun WangInstitute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.
Bin ShanWashington State University, Elison S Floyd College of Medicine, P.O. Box 1495, Spokane, WA, 99210-1495, USA.ORCID 0000-0002-6869-2678
Fulai YuanInstitute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.
Bin LiInstitute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.
Yeping DongInstitute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.
Wei PengInstitute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.
Wenwen ShiInstitute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.
Yuanda ChengDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.
Yang GaoDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.
Chunfang ZhangDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China.
Chaojun DuanInstitute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China. duancjxy@126.com.
Central South University · CNWashington State University Spokane · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

LncRNAs have emerged as a novel class of critical regulators of cancer. We aimed to construct a landscape of lncRNAs and their potential target genes in lung adenocarcinoma. Genome-wide expression of lncRNAs and mRNAs was determined using microarray. qRT-PCR was performed to validate the expression of the selected lncRNAs in a cohort of 42 tumor tissues and adjacent normal tissues. R and Bioconductor were used for data analysis. A total of 3045 lncRNAs were differentially expressed between the paired tumor and normal tissues (1048 up and 1997 down). Meanwhile, our data showed that the expression NONHSAT077036 was associated with N classification and clinical stage. Further, we analyzed the potential co-regulatory relationship between the lncRNAs and their potential target genes using the 'cis' and 'trans' models. In the 25 related transcription factors (TFs), our analysis of The Cancer Genome Atlas database (TCGA) found that patients with lower expression of POU2F2 and higher expression of TRIM28 had a shorter overall survival time. The POU2F2 and TRIM28 co-expressed lncRNA landscape characterized here may shed light into normal biology and lung adenocarcinoma pathogenesis, and be valuable for discovery of biomarkers.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksLung NeoplasmsRNA, Long NoncodingAdultDatabases, Nucleic AcidFemaleGenome-Wide Association StudyHumansMaleBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID29127420
PMCPMC5681506
OpenAlexW2767636994

What OpenQuestion holds

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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.