ArticleCancer biomarkers : section A of Disease markers2019
Screening key lncRNAs for human lung adenocarcinoma based on machine learning and weighted gene co-expression network analysis.
Article in Cancer biomarkers : section A of Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- The value of artificial intelligence in the diagnosis of lung cancer: A systematic review and meta-analysis.PloS one · 2023Pooled it
- Epigenetic regulation of LINC01270 in breast cancer progression by mediating LAMA2 promoter methylation and MAPK signaling pathway.Cell biology and toxicology · 2023Article
- AI/ML advances in non-small cell lung cancer biomarker discovery.Frontiers in oncology · 2023Review
- Cuproptosis-related LncRNAs are correlated with immunity and predict prognosis in HNSC independent of TMB.Frontiers in genetics · 2023Article
- Identidication of novel biomarkers in non-small cell lung cancer using machine learning.Scientific reports · 2022Article
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- Long non-coding RNA LINC01270 is an onco-promotor in lung adenocarcinoma by upregulating LARP1 via sponging miR-326.Bioengineered · 2022Article
- Construction of genetic classification model for coronary atherosclerosis heart disease using three machine learning methods.BMC cardiovascular disorders · 2022Article
- Long Noncoding RNA LINC01703 Exacerbates the Malignant Properties of Non-Small Cell Lung Cancer by Upregulating MACC1 in a MicroRNA-605-3p-Mediated Manner.Oncology research · 2022Article
- Construction of a prognostic model of colon cancer patients based on metabolism-related lncRNAs.Frontiers in oncology · 2022Article
- Characterization and validation of a ferroptosis-related LncRNA signature as a novel prognostic model for lung adenocarcinoma in tumor microenvironment.Frontiers in immunology · 2022Article
- Non-coding RNA-mediated high expression ofFrontiers in immunology · 2022Article
- Construction of a ferroptosis scoring system and identification of LINC01572 as a novel ferroptosis suppressor in lung adenocarcinoma.Frontiers in pharmacology · 2022Article
- ETV4 mediated lncRNA C2CD4D-AS1 overexpression contributes to the malignant phenotype of lung adenocarcinoma cells via miR-3681-3p/NEK2 axis.Cell cycle (Georgetown, Tex.) · 2021Article
- The prognostic value of an autophagy-related lncRNA signature in hepatocellular carcinoma.BMC bioinformatics · 2021Article
- Association between lincRNA expression and overall survival for patients with triple-negative breast cancer.Breast cancer research and treatment · 2021Article
- Long non-coding RNA TMPO-AS1 serves as a tumor promoter in pancreatic carcinoma by regulating miR-383-5p/SOX11.Oncology letters · 2021Article
- Classify multicategory outcome in patients with lung adenocarcinoma using clinical, transcriptomic and clinico-transcriptomic data: machine learning versus multinomial models.American journal of cancer research · 2020Article
- Long Non-Coding RNA BLACAT1 in Human Cancers.OncoTargets and therapy · 2020Review
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundLung adenocarcinoma (LUAD) accounts for a significant proportion of lung cancer and there have been few diagnostic and therapeutic targets for LUAD due to the lack of specific biomarker. The aim of this study was to identify key long non-coding RNAs (lncRNAs) for LUAD.
methodsThe lncRNA and mRNA expression profiles of a large group of patients with LUAD were obtained from The Cancer Genome Atlas (TCGA). The differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) were identified. The optimal diagnostic lncRNA biomarkers for LUAD were identified by using feature selection procedure and classification model. We established classification models including random forests, decision tree and support vector machine to distinguish LUAD and normal tissues. The lncRNAs-mRNAs co-expression networks and module identification were established by weighted gene co-expression network analysis (WGCNA). Functional annotation of pink and green modules was performed. The expression of selected DElncRNAs were validated by qRT-PCR.
resultsA total of 1364 DEmRNAs (468 down-regulated and 896 up-regulated mRNAs) and 260 DElncRNAs (88 down-regulated and 172 up-regulated lncRNAs) between LUAD and normal tissue were obtained. LANCL1-AS1, MIR3945HG, LINC01270, RP5-1061H20.4, BLACAT1, LINC01703, CTD-2227E11.1 and RP1-244F24.1 were identified as optimal diagnostic lncRNA biomarkers for LUAD. The area under curve (AUC) of the random forests model, decision tree model and SVM model were 0.999, 0.937 and 0.999, and the specificity and sensitivity of the three model were 98.3% and 99.8%, 93.2% and 99% and 100% and 98.4%, respectively. Co-expression networks analysis showed that RP11-389C8.2, CTD-2510F5.4 and TMPO-AS1 were co-expressed with 44, 242 and 241 mRNAs, respectively. Cell cycle, DNA replication and p53 signaling pathway were three significantly enriched pathways. The qRT-PCR results were consistent with our integrated analysis, generally. The GSE32863 and GSE104854 validation was consistent with our integrated analysis, generally.
conclusionOur study identified eight DElncRNAs as potential diagnostic biomarkers of LUAD. Functional annotation of green module provided new evidences for exploring the precise roles of lncRNA in LUAD.
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