Evidence map›Paper›PMID 33987935›Full record

ArticleJournal of cellular and molecular medicine2021

A novel autophagy-related lncRNA survival model for lung adenocarcinoma.

Liwei Wu, Zilu Wen, Yanzheng Song, Lin Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
5.2field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 65 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Liwei WuDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.ORCID 0000-0002-3150-2260
Zilu WenDepartment of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yanzheng SongDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Lin WangDepartment of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Shanghai Public Health Clinical Center · CN

Funding

Thirteen-Fifth Mega-Scientific Project 2017ZX10201301-003-002
6 · The paper itself

Abstract

Long non-coding RNA (lncRNA) is an important regulatory factor in the development of lung adenocarcinoma, which is related to the control of autophagy. LncRNA can also be used as a biomarker of prognosis in patients with lung adenocarcinoma. Therefore, it is important to determine the prognostic value of autophagy-related lncRNA in lung adenocarcinoma. In this study, autophagy-related mRNAs-lncRNAs were screened from lung adenocarcinoma and a co-expression network of autophagy-related mRNAs-lncRNAs was constructed by using The Cancer Genome Atlas (TCGA). The univariate and multivariate Cox proportional hazard analyses were used to evaluate the prognostic value of the autophagy-related lncRNAs and finally obtained a survival model composed of 11 autophagy-related lncRNAs. Through Kaplan-Meier analysis, univariate and multivariate Cox regression analysis and time-dependent receiver operating characteristic (ROC) curve analysis, it was further verified that the survival model was a new independent prognostic factor for patients with lung adenocarcinoma. In addition, based on the survival model, gene set enrichment analysis (GSEA) was used to illustrate the function of genes in low-risk and high-risk groups. These 11 lncRNAs were GAS6-AS1, AC106047.1, AC010980.2, AL034397.3, NKILA, AL606489.1, HLA-DQB1-AS1, LINC01116, LINC01806, FAM83A-AS1 and AC090559.1. The hazard ratio (HR) of the risk score was 1.256 (1.196-1.320) (P < .001) in univariate Cox regression analysis and 1.215 (1.149-1.286) (P < .001) in multivariate Cox regression analysis. And the AUC value of the risk score was 0.809. The 11 autophagy-related lncRNA survival models had important predictive value for the prognosis of lung adenocarcinoma and may become clinical autophagy-related therapeutic targets.

Indexed as

AutophagyGene Expression Regulation, NeoplasticAdenocarcinoma of LungAutophagy-Related ProteinsBiomarkers, TumorHumansLung NeoplasmsPrognosisRNA, Long NoncodingSurvival RateAutophagy-Related ProteinsBiomarkers, TumorRNA, Long Noncodingautophagylong non-coding RNA (lncRNA)lung adenocarcinoma (LUAD)survivalThe Cancer Genome Atlas (TCGA)

Identifiers

PMID33987935
PMCPMC8184679
OpenAlexW3161666695

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.