Identification of potential diagnostic and prognostic biomarkers for LUAD based on TCGA and GEO databases

Abstract

Accumulating evidence has demonstrated that gene alterations play a crucial role in LUAD development, progression, and prognosis. The current study aimed to identify the hub genes associated with LUAD. In the present study, we used TCGA database to screen the hub genes. Then, we validated the results by GEO datasets. Finally, we used cBioPortal, UALCAN, qRT-PCR, HPA database, TCGA database, and Kaplan-Meier plotter database to estimate the gene mutation, gene transcription, protein expression, clinical features of hub genes in patients with LUAD. A total of 5,930 DEGs were screened out in TCGA database. Enrichment analysis revealed that DEGs were involved in the transcriptional misregulation in cancer, viral carcinogenesis, cAMP signaling pathway, calcium signaling pathway, and ECM-receptor interaction. The combining results of MCODE and CytoHubba showed that ADCY8, ADRB2, CALCA, GCG, GNGT1, and NPSR1 were hub genes. Then, we verified the above results by GSE118370, GSE136043, and GSE140797 datasets. Compared with normal lung tissues, the expression level of ADCY8 and ADRB2 were lower in LUAD tissues, but the expression level of CALCA, GCG, GNGT1, and NPSR1 were higher. In the prognosis analyses, the low expression of ADCY8 and ADRB2 and the high expression of CALCA, GCG, GNGT1, and NPSR1 were correlated with poor OS and poor PFS. The significant differences in the relationship of the expression of 6 hub genes and clinical features were observed. In conclusion, 6 hub genes will not only contribute to elucidating the pathogenesis of LUAD, and may be potential therapeutic targets for LUAD.

Predicting Differences in Treatment Response and Survival Time of Lung Adenocarcinoma Patients Based on a Prognostic Risk Model of Glycolysis-Related Genes

“…We also found that the AUC of the risk score of all patients was similar to the AUC of the clinical stage ( Figure 5C ). The predictive performance of the prognostic model in this paper is significantly better than the results in other studies in the 3-years survival time ( Figure 5D ) ( Yue et al, 2019 ; Li J. et al, 2020 ; Yu and Tian, 2020 ; Yao et al, 2021 ; Zheng et al, 2021 ). Validation in the GEPIA database suggests that each gene in the model has a prognostic value ( Figures 6A–E ), and similar results were also obtained in the Kaplan–Meier (KM) plotter database ( Figures 7A–E ).…”

Bifidobacterium infantis-mediated herpes simplex virus-TK/ganciclovir treatment inhibits cancer metastasis

“…The low expression of ADCY8 is correlated with poor overall survival and poor progression-free survival in lung adenocarcinoma (Zheng et al, 2021). VSIR (V-set immunoregulatory receptor) is a negative immune checkpoint regulator that inhibits anti-tumor immune responses.…”

Comprehensive Analysis of Expression, Prognostic Value, and Immune Infiltration for Ubiquitination-Related FBXOs in Pancreatic Ductal Adenocarcinoma

“…Using p <0.05 and log ratio >2 as the screening conditions, 1,194 genes were obtained in the altered group. The top 20 differently enriched genes are listed in Supplementary Table S4, such as ADCY8, ASAP1, EFR3A, KCNQ3, and PCAT1, which had been reported to play roles in tumor onset and progression (30)(31)(32).…”