Integrated Analysis of Transcriptome and Prognosis Data Identifies FGF22 as a Prognostic Marker of Lung Adenocarcinoma

Abstract

Lung adenocarcinoma is one of the most common cancers worldwide. However, the molecular mechanisms of lung adenocarcinoma development are still unclear. This study aimed to investigate the expression profiles of anti-lung cancer target genes in different cancer stages and to explore their functions in tumor development. Lung adenocarcinoma transcriptome and clinical data were downloaded from Genomic Data Commons Data Portal, and the anti-lung cancer target genes were retrieved from the Thomson Reuters Integrity database. The results showed that 16 anti-lung target genes were deregulated in all stages. Among these target genes, fibroblast growth factor 22 showed the most important role in transcription regulatory networks. Further analysis revealed that APC, BRIP1, and PTTG1 may regulate fibroblast growth factor 22 and subsequently influence MAPK signaling pathway, Rap1 signaling pathways, and other tumorigenic processes in all stages. Moreover, high fibroblast growth factor 22 expression leads to poor overall survival (hazard ratio = 1.55, P = .019). These findings provide valuable information for the pathological research and treatment of lung adenocarcinoma. Future studies are needed to verify these results.

FGF/FGFR signaling in health and disease

“…623 Huang et al 624 found that overexpression of FGF21 delayed the appearance of diethylnitrosamine-induced liver tumors and proposed that FGF21 might delay development of adenomas through activation of resident hepatocyte FGFR4 at early time. Liu et al 625 demonstrated that FGF22 expression was tightly associated with the poor overall survival. FGF23 is present at an increased level and promotes the progression of prostate cancer.…”

Transcriptome integration analysis and specific diagnosis model construction for Hodgkin's lymphoma, diffuse large B-cell lymphoma, and mantle cell lymphoma

“…The information on human genes and related GO biological functions were downloaded from the QuickGO database ( http://www.ebi.ac.uk/QuickGO-Beta/ ). GO enrichment analysis was performed using a hypergeometric test and the formula shown in a previous report [ 67 ]. An FDR corrected P -value ≤ 0.05 was considered significantly enriched.…”

Bioinformatics Analysis Identifies Protein Tyrosine Kinase 7 (PTK7) as a Potential Prognostic and Therapeutic Biomarker in Stages I to IV Hepatocellular Carcinoma

“…All bioinformatics analysis was performed using R version 3.4.1 software ( https://www.r-project.org/ ) and the Bioconductor library ( http://www.bioconductor.org/ ). The detailed methods of differential expression gene analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, co-expression network analysis, and survival analysis were performed, as previously described [14]. Differentially expressed genes were calculated for each stage (I, II, III/IV).…”