Evidence map›Paper›PMID 34526807›Full record

ArticleInternational journal of general medicine2021

Key Common Genes in Obstructive Sleep Apnea and Lung Cancer are Associated with Prognosis of Lung Cancer Patients.

Wenjun Wang, Lirong He, Chao Ouyang, Chong Chen, Xiaofeng Xu, Xiaoqun Ye

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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

6 authors at 1 institution in 1 country.

Wenjun WangDepartment of Respiratory Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.ORCID 0000-0001-5596-6636
Lirong HeDepartment of Respiratory Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
Chao OuyangDepartment of Respiratory Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
Chong ChenDepartment of Respiratory Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
Xiaofeng XuDepartment of Respiratory Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
Xiaoqun YeDepartment of Respiratory Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObstructive sleep apnea (OSA) is associated with an increased risk of lung cancer. This study aimed to identify key common genes in OSA and lung cancer and explore their prognostic value in lung cancer. MATERIALS AND

methodsTranscriptome data of OSA and lung cancer were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database, respectively. Genes associated with OSA and lung cancer were screened by weighted gene co-expression network analysis (WGCNA). Univariate and multivariate Cox regression algorithms were applied to identify key genes and construct the risk score model. Receiver operating characteristic (ROC) curves and a nomogram were performed to evaluate the prognostic value of the risk score. The screened key genes and their roles in prognosis were validated by GEO (GSE30219) analysis.

resultsA total of 104 common genes were screened in OSA and lung cancer by WGCNA. Modulator of apoptosis 1 (MOAP1), chromobox 7 (CBX7), platelet-derived growth factor subunit B (PDGFB), and mitogen-activated protein kinase 3 (MAP2K3) were identified as key genes by univariate and then multivariate Cox regression analyses. The risk score model was constructed on the basis of four gene signatures. ROC curves and the nomogram showed that the risk score had a high accuracy in predicting the survival of patients with lung cancer. In addition, the result of multivariate Cox regression analysis indicated that the risk score was an independent prognostic factor in lung cancer.

conclusionThis study constructed a unique model for predicting the prognosis of lung cancer patients on the basis of four genes common to OSA and lung cancer. These genes may also serve as candidate genes to improve our knowledge about the underlying mechanism of OSA that leads to an increased risk of lung cancer at the genetic level.

Indexed as

lung cancerlung cancer prognosisobstructive sleep apneaOSAweighted gene co-expression network analysisWGCNA

Identifiers

PMID34526807
PMCPMC8435481
OpenAlexW3198052581

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.