Mining TCGA and GEO databases for the prediction of poor prognosis in lung adenocarcinoma based on up-regulated expression of TNS4.
Feng LiuXinliang GaoWei LiuWujun XuePublished in: Medicine (2022)
To investigate the clinical significance of Tensin4 (TNS4) in human cancers, particularly lung cancer, we mined the Cancer Genome Atlas database for lung adenocarcinoma (TCGA-LUAD) and the Gene Expression Omnibus database to predict poor prognosis based on the up-regulated expression of TNS4 in LUAD. The correlation between the clinical pathologic features of patients and TNS4 gene expression was analyzed using the Wilcoxon signed-rank test. Cox regression analysis was used to evaluate the association of clinicopathologic characteristics with the overall survival (OS) of cancer patients using TCGA data. The relationship between TNS4 expression and cancer patient survival was evaluated with Kaplan-Meier survival curves and meta-analyses. GO and KEGG were also included in the data mining methods. The expression level of TNS4 in LUAD tissue was higher than that in adjacent normal tissue (P < .001). According to the Kaplan-Meier survival curve, LUAD patients with high TNS4 expression had worse prognosis than those with low TNS4 expression (P < .001 for OS; P = .028 for progression-free survival). A positive correlation between TNS4 expression and poor OS was found with both univariate and multivariate analyses. Increased TNS4 expression in LUAD was closely correlated with a higher disease stage (P = .007), positive lymph nodes (P = .005), and larger tumor size (P = .002). Moreover, meta-analysis including seven independent datasets showed LUAD patients with higher TNS4 had poorer OS (combined hazard ratio = 1.27, 95% confidence interval 1.16-1.39). In the high-TNS4 population, regulation of the actin cytoskeleton, extracellular matrix receptor interactions, and focal adhesion were differentially enriched. Integrin α6β4 and laminin-5 genes were also associated with TNS4. TNS4 expression may be a potential biomarker for predicting poor survival in LUAD. Moreover, the correlation between TNS4 and integrin α6β4 may be attributed to the role of TNS4 in LUAD.
Keyphrases
- poor prognosis
- long non coding rna
- gene expression
- free survival
- binding protein
- randomized controlled trial
- extracellular matrix
- dna methylation
- lymph node
- emergency department
- machine learning
- ejection fraction
- young adults
- transcription factor
- radiation therapy
- cystic fibrosis
- rectal cancer
- single cell
- chronic kidney disease
- pseudomonas aeruginosa
- data analysis
- prognostic factors