This study aims to identify potential core genes of lung adenocarcinoma (LUAD). Three datasets (GSE32863, GSE43458, and GSE116959) were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between LUAD and normal tissues were filtrated by GEO2R tool. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed via Metascape database. The protein-protein interaction (PPI) network was constructed and core genes were identified using STRING and Cytoscape. Core genes expressions and their relevant clinical characteristics were performed via Oncomine and UALCAN databases respectively. The correlation between core genes and immune infiltrates was investigated by TIMER database. Kaplan-Meier plotter was performed for survival analysis. The signal pathway network of core genes was mapped by KEGG Mapper analysis tool. In this study, ten core genes were significantly related to overall survival (OS) of LUAD patients, which can provide clues for prognosis of LUAD.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/09603123.2021.2016660 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Identification of Novel Biomarkers for Ischemic Stroke Through Integrated Bioinformatics Analysis and Machine Learning.
J Mol Neurosci
January 2025
Lanzhou University Second Hospital, The Second Medical College of Lanzhou University, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China.
Ischemic stroke leads to permanent damage to the affected brain tissue, with strict time constraints for effective treatment. Predictive biomarkers demonstrate great potential in the clinical diagnosis of ischemic stroke, significantly enhancing the accuracy of early identification, thereby enabling clinicians to intervene promptly and reduce patient disability and mortality rates. Furthermore, the application of predictive biomarkers facilitates the development of personalized treatment plans tailored to the specific conditions of individual patients, optimizing treatment outcomes and improving prognoses.
View Article and Find Full Text PDFA Lipoxygenase Gene Modulates Jasmonate Biosynthesis to Enhance Blast Resistance in Rice.
J Exp Bot
January 2025
State Key Laboratory for Quality and Safety of Agro-Products, Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, 310021 Hangzhou, China.
Inhibition of jasmonic acid (JA) signaling renders plants more susceptible to biotic stresses. Pathogen infection can induce an increase in JA levels. However, our understanding of the mechanisms mediating pathogen-induced JA accumulation in rice (Oryza sativa) remains limited.
View Article and Find Full Text PDFGegen Qinlian Decoction Attenuates Colitis-Associated Colorectal Cancer via Suppressing TLR4 Signaling Pathway Based on Network Pharmacology and In Vivo/In Vitro Experimental Validation.
Pharmaceuticals (Basel)
December 2024
Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.
: Gegen Qinlian Decoction (GQD), is used for intestinal disorders like ulcerative colitis, irritable bowel syndrome, and colorectal cancer. But the precise mechanisms underlying its anti-inflammatory and anti-tumor effects are not fully elucidated. : Use network pharmacology to identify targets and pathways of GQD.
View Article and Find Full Text PDF: Genomic Diversity and Structure.
Pathogens
January 2025
Centro de Biología Molecular Severo Ochoa, Consejo Superior de Investigaciones Científicas, Universidad Autónoma de Madrid, Cantoblanco, 28049 Madrid, Spain.
is the causative agent of Chagas disease, a neglected tropical disease, and one of the most important parasitic diseases worldwide. The first genome of was sequenced in 2005, and its complexity made assembly and annotation challenging. Nowadays, new sequencing methods have improved some strains' genome sequence and annotation, revealing this parasite's extensive genetic diversity and complexity.
View Article and Find Full Text PDFDiscovery of Novel Diagnostic Biomarkers for Common Pathogenic Through Pan-Genome and Comparative Genome Analysis, with Preliminary Validation.
Pathogens
January 2025
Department of Clinical Laboratory, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Institute, Capital Medical University, Beijing 101100, China.
The aim of this study was to reveal diagnostic biomarkers of considerable importance for common pathogenic , utilizing pan-genomic and comparative genome analysis to accurately characterize clinical infections. In this study, complete or assembled genome sequences of common pathogenic and closely related species were obtained from NCBI as discovery and validation sets, respectively. Genome annotation was performed using Prokka software, and pan-genomic analysis and extraction of core genes were performed using BPGA software.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!