Integrated Analysis of Transcriptomic Data Reveals Key Anti-CKD Targets and Anti-ESRD Targets.

BACKGROUND: Chronic kidney disease (CKD) is a kidney disease in which there is gradual loss of kidney function over time and end-stage renal disease (ESRD) is the final stage of CKD. Both CKD and ESRD are worldwide health problems with a high economic cost to health systems. However, the molecular mechanisms of the development of CKD and ESRD remain poorly understood. This study aimed to systematically elucidate the molecular mechanisms of the development of CKD and ESRD. METHODS: Transcriptome data of CKD and ESRD were downloaded from the NCBI-GEO database. Differentially expressed genes between cases and controls (chronic kidney disease patients vs. controls, end-stage renal disease patients vs. controls) were calculated using the empirical Bayes algorithm. Gene set enrichment analysis (GSEA) was used for analyzing the KEGG pathway difference between cases and controls. Furthermore, CKD and ESRD target genes were obtained from the Thomson Reuters Integrity database. Tissue-specific gene interaction network analysis was performed using the GIANT web server. RESULTS: There were multiple damaged pathways in ESRD but only a few pathways were disturbed in CKD. Furthermore, we identified 9 dysregulated anti-ESRD genes but no dysregulated anti-CKD genes. Network analysis revealed that the NF-kB signaling pathway was essential for ESRD. CONCLUSIONS: This study revealed several crucial anti-ESRD genes that are involved in the regulation of the NF-kB signaling pathway. This information may be helpful for the treatment of ESRD.

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

BACKGROUND Worldwide, hepatocellular carcinoma (HCC) accounts for 80-90% of all cases of primary liver cancer, and is one of the ten most common malignancies. This study used bioinformatics analysis to identify genes associated with patient outcome in stages I-IV HCC and the gene pathways that distinguished between normal liver and liver cells and HCC and human HCC cell lines. MATERIAL AND METHODS Target genes were defined as those that had marketed drugs or drugs under development targeting a specific gene and acquired from the Clarivate Analytics Integrity Database. Differential expression gene analysis, co-expression network analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, survival analysis and receiver operating characteristic (ROC) curve analysis were used to explore the similarities and differences in gene expression profiles, functional associations, and survival in stage I-IV HCC. Normal liver cells (HL-7702) and HCC cell lines (HepaRG, HepG2, SK-Hep1, and Huh7) were studied using Western blot and quantitative reverse transcription PCR (RT-qPCR). RESULTS Hierarchical gene clustering identified target genes that distinguished between HCC and normal liver tissue. For stages I-IV HCC, there were seven commonly upregulated target genes EPHB1, LTK, NTRK2, PTK7, TBK1, TIE1, and TLR3, which were mainly involved in immune and signaling transduction pathways. PTK7 was highly expressed in stage I-IV HCC and was an independent prognostic marker for reduced overall survival (OS). CONCLUSIONS Bioinformatics analysis, combined with patient survival analysis, identified PTK7 gene expression as a potential therapeutic target and prognostic biomarker for all stages of HCC.