Evidence map›Paper›PMID 32596372›Full record

ArticleBioMed research international2020

Identification of a Seven-lncRNA Immune Risk Signature and Construction of a Predictive Nomogram for Lung Adenocarcinoma.

Donghui Jin, Yuxuan Song, Yuan Chen, Peng Zhang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.3field-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

37 citing papers in PubMed, 60 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.

Donghui Jin *Cardiovascular Thoracic Surgery Department, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, China.ORCID https://orcid.org/0000-0001-5109-6856
Yuxuan Song *Department of Urology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, China.ORCID https://orcid.org/0000-0003-4288-7183
Yuan ChenCardiovascular Thoracic Surgery Department, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, China.ORCID https://orcid.org/0000-0002-3579-7705
Peng ZhangCardiovascular Thoracic Surgery Department, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, China.ORCID https://orcid.org/0000-0002-2444-0225
Tianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of lung cancer is the highest of all cancers, and it has the highest death rate. Lung adenocarcinoma (LUAD) is a major type of lung cancer. This study is aimed at identifying the prognostic value of immune-related long noncoding RNAs (lncRNAs) in LUAD. MATERIALS AND

methodsGene expression profiles and the corresponding clinicopathological features of LUAD patients were obtained from The Cancer Genome Atlas (TCGA). The least absolute shrinkage and selection operator (LASSO) Cox regression algorithm was performed on the prognostic immune-related lncRNAs to calculate the risk scores, and a risk signature was constructed. Survival analysis was performed to assess the prognostic value of the risk signature. A nomogram was also constructed based on the clinicopathological features and risk signature.

resultsA total of 437 LUAD patients with gene expression data and clinicopathological features were obtained in this study, which was considered the combination set. They were randomly and equally divided into a training set and a validation set. Seven immune-related lncRNAs (AC092794.1, AL034397.3, AC069023.1, AP000695.1, AC091057.1, HLA-DQB1-AS1, and HSPC324) were identified and used to construct a risk signature. The patients were divided into the low- and high-risk groups based on the median risk score of -0.04074. Survival analysis suggested that patients in the low-risk group had a longer overall survival (OS) than those in the high-risk group (

conclusionOur study identified seven novel immune-related lncRNAs and generated a risk signature, as well as a nomogram, that could predict the prognosis of LUAD patients.

Indexed as

Adenocarcinoma of LungLung NeoplasmsRNA, Long NoncodingAgedFemaleHumansMaleMiddle AgedNomogramsROC CurveTranscriptomeRNA, Long Noncoding

Identifiers

PMID32596372
PMCPMC7273488
OpenAlexW3031956395

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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.