ArticleComputational and mathematical methods in medicine2020
Potential Genes Associated with the Survival of Lung Adenocarcinoma Were Identified by Methylation.
Article in Computational and mathematical methods in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- A dual-discriminator conditional generative adversarial network (DDcGAN) approach to glioma grade classification with structural MRI images fusion.Physical and engineering sciences in medicine · 2026Article
- Article
- Identifying the key hub genes linked with lung squamous cell carcinoma by examining the differentially expressed and survival genes.Molecular genetics and genomics : MGG · 2024Article
- Article
- Distance to highway and factory density related to lung cancer death and associated spatial heterogeneity in effects in Jiading District, Shanghai.Environmental science and pollution research international · 2021Article
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Authors and funding
6 authors.
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Abstract
backgroundLung adenocarcinoma (LUAD) is the most common pathological type of lung cancer. The purpose of this study is to search for genes related to the prognosis of LUAD through methylation based on a linear mixed model (LMM).
methodsGene expression, methylation, and survival data of LUAD patients were downloaded from the TCGA database. Based on the LMM model, the GEMMA algorithm was used to screen the predictive genes related to LUAD survival. The Cox model was used to further screen the predicted genes, and then, protein-protein interaction (PPI) network was constructed. Through the software plugin Cytoscape MCODE 3.8.0, the most closely related genes in the PPI network module were selected for in-depth biological function analysis to further explore the interaction and correlation between genes.
resultsWe screened out 97 predictive genes from 18,834 genes and eliminated one gene associated with lung squamous cell carcinoma from previous studies, leaving 96 genes. The MCODE and the Kaplan-Meier curve analysis were used to finally identify two genes
conclusionsThe newly identified two genes associated with the prognosis of LUAD may provide a basis for the treatment of patients.
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