Determining the Clinical Value and Critical Pathway of GTPBP4 in Lung Adenocarcinoma Using a Bioinformatics Strategy: A Study Based on Datasets from The Cancer Genome Atlas

Abstract

Lung cancer is the leading cause of cancer-related death worldwide, and the most common histologic subtype is lung adenocarcinoma (LUAD). Due to the significant mortality and morbidity rates among patients with LUAD, the identification of novel biomarkers to guide diagnosis, prognosis, and therapy is urgent. Guanosine triphosphate-binding protein 4 (GTPBP4) has been found to be associated with tumorigenesis in recent years, but the underlying molecular mechanism remains to be elucidated. In the present study, we demonstrate that GTPBP4 is significantly overexpressed in LUAD primary tumors. A total of 55 genes were identified as potential targets of GTPBP4. GO enrichment analysis identified the top 25 pathways among these target genes, among which, ribosome biogenesis was shown to be the most central. Each target gene demonstrated strong and complex interactions with other genes. Of the potential target genes, 12 abnormally expressed candidates were associated with survival probability and correlated with GTPBP4 expression. These findings suggest that GTPBP4 is associated with LUAD progression. Finally, we highlight the importance of the role of GTPBP4 in LUAD in vitro. GTPBP4 knockdown in LUAD cells inhibited proliferation and metastasis, promoted apoptosis, and enhanced sensitivity to TP. Overall, we conclude that GTPBP4 may be considered as a potential biomarker of LUAD.

[Retracted] Role of Bioinformatics Analysis in Early Differential Diagnosis of Ovarian Cancer

“…We screen the potential therapeutic drug sanguinarine for cisplatin resistance of ovarian cancer by bioinformatics methods. In this section, the MTT method is used to investigate the effect of sanguinarine on cisplatin against COC1/DDP of ovarian cancer, and to provide experimental basis for further study of sanguinarine in the prevention of ovarian cancer in medicine [ 23 , 24 ]. In the process of drug data mining, learning algorithms often face the problem of selecting compact feature subsets.…”

NOG1 downregulates type I interferon production by targeting phosphorylated interferon regulatory factor 3

“…Studies have identified that NOG1 involves various biological processes, including DNA mismatch repair system, cell cycle, 60 S ribosomal subunit biogenesis, glucose metabolism, and cancer [ 36 – 38 ]. Although NOG1 is required for 60 S ribosomal biogenesis, the cell viability and host proteins synthesis was not significantly affected in the NOG1 +/- cells compared to the WT cells.…”

Pan-cancer analysis revealed the significance of the GTPBP family in cancer

“…Liu et al found that GTPBP2 expression was upregulated in NSCLC and correlated with lymph node metastasis [ 24 ]. Zhang et al found that high GTPBP4 expression is a poor prognostic factor for lung adenocarcinoma [ 25 ]. It stands to reason, therefore, that the GTPBP family warrants further exploration in tumor research.…”