Evidence map›Paper›PMID 33187219›Full record

ArticleInternational journal of molecular sciences2020

Establishment of a Gene Signature to Predict Prognosis for Patients with Lung Adenocarcinoma.

Zhaodong Li, Fangyuan Qi, Fan Li

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

3 authors.

Zhaodong LiThe Key Laboratory of Zoonosis, Department of Pathogenobiology, College of Basic Medicine, Jilin University, Changchun 130021, China.
Fangyuan QiThe Key Laboratory of Zoonosis, Department of Pathogenobiology, College of Basic Medicine, Jilin University, Changchun 130021, China.
Fan LiThe Key Laboratory of Zoonosis, Department of Pathogenobiology, College of Basic Medicine, Jilin University, Changchun 130021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence indicates that the reliable gene signature may serve as an independent prognosis factor for lung adenocarcinoma (LUAD) diagnosis. Here, we sought to identify a risk score signature for survival prediction of LUAD patients. In the Gene Expression Omnibus (GEO) database, GSE18842, GSE75037, GSE101929, and GSE19188 mRNA expression profiles were downloaded to screen differentially expressed genes (DEGs), which were used to establish a protein-protein interaction network and perform clustering module analysis. Univariate and multivariate proportional hazards regression analyses were applied to develop and validate the gene signature based on the TCGA dataset. The signature genes were then verified on GEPIA, Oncomine, and HPA platforms. Expression levels of corresponding genes were also measured by qRT-PCR and Western blotting in HBE, A549, and PC-9 cell lines. The prognostic signature based on eight genes (

Indexed as

A549 CellsAdenocarcinoma of LungAgedCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansLung NeoplasmsLymphatic MetastasisMaleMultivariate AnalysisPrognosisRNA, MessengerRNA, Messengerbioinformatic analysisgene signaturelung adenocarcinomaoverall survivalprognosis

Identifiers

PMID33187219
PMCPMC7697394

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.