Skip to main navigation Skip to search Skip to main content

Upregulation of desmoglein 2 and its clinical value in lung adenocarcinoma: A comprehensive analysis by multiple bioinformatics methods

  • Xi'an Jiaotong University
  • Xi’an Children’s Hospital

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Background. Desmoglein-2 (DSG2), a desmosomal adhesion molecule, is found to be closely related to tumorigenesis in recent years. However, the clinical value of DSG2 in lung adenocarcinoma remains unclear. Methods. Real-time reverse transcription-quantitative polymerase chain reaction (qRT-PCR) was utilized to detect the expression of DSG2 in 40 paired lung adeno- carcinoma tissues and corresponding non-cancerous tissues. Data from The Cancer Genome Atlas (TCGA) and Oncomine datasets were also downloaded and analyzed. The correlation between DSG2 and clinicopathological features was investigated. The expression of DSG2 protein by immunohistochemical was also detected from tissue microarray and the Human Protein Atlas database. Integrated meta-analysis combining the three sources (qRT-PCR data, TCGA data and Oncomine datasets) was performed to evaluate the clinical value of DSG2. Univariate and multivariate Cox regression analyses were used to explore the prognostic value of DSG2. Then, co-expressed genes were calculated by Pearson correlation analysis. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used to investigate the underlying molecular mechanism. The expression level in lung adenocarcinoma and prognostic significance of the top ten co-expressed genes were searched from Gene Expression Profiling Interactive Analysis (GEPIA) online database. Results. DSG2 was highly expressed in lung adenocarcinoma tissues based on qRT- PCR, TCGA and Oncomine datasets. The protein expression of DSG2 was also higher in lung adenocarcinoma. According to qRT-PCR and TCGA, high DSG2 expression was positively associated with tumor size (p =0:027, p =0:001), lymph node metastasis (p =0:014, p < 0.001) and TNM stage (p =0:023, p<0:001). The combined standard mean difference values of DSG2 expression based on the three sources were 1.30 (95% confidence interval (CI): 1.08-1.52) using random effect model. The sensitivity and specificity were 0.73 (95% CI [0.69-0.76]) and 0.96 (95% CI [0.89-0.98]). The area under the curve based on summarized receiver operating characteristic (SROC) curve was 0.79 (95% CI [0.75-0.82]). Survival analysis revealed that high DSG2 expression was associated with a short overall survival (hazard ratio [HR]=1.638; 95% CI [1.214-2.209], p = 0:001) and poor progression-free survival (HR = 1.475; 95% CI [1.102-1.974], p < 0:001). A total of 215 co-expressed genes were identified. According to GO and KEGG analyses, these co-expressed genes may be involved in "cell division", "cytosol", "ATP binding" and "cell cycle". Based on GEPIA database, seven of the top ten co-expressed genes were highly expressed in lung adenocarcinoma (DSC2, SLC2A1, ARNTL2, ERO1L, ECT2, ANLN and LAMC2). High expression of these genes had shorter overall survival. Conclusions. The expression of DSG2 is related to the tumor size, lymph node metas- tasis and TNM stage. Also, DSG2 predicts poor prognosis in lung adenocarcinoma.

Original languageEnglish
Article numbere8420
JournalPeerJ
Volume2020
Issue number2
DOIs
StatePublished - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • DSG2
  • Lung adenocarcinoma
  • Prognosis
  • TCGA

Fingerprint

Dive into the research topics of 'Upregulation of desmoglein 2 and its clinical value in lung adenocarcinoma: A comprehensive analysis by multiple bioinformatics methods'. Together they form a unique fingerprint.

Cite this