Lox as the Potential Key Gene of Clear Cell Renal Carcinoma.

Clear cell renal carcinoma (CCRC) is the most common type of renal carcinoma. We hope to find out the potential key genes playing important roles in CCRC genesis and progression by analysing the recent expression profiling by array from 2014 to 2016. In order to find out the differentially expressed genes (DEGs) between CCRC and normal renal tissue. Gene Ontology (GO) and Kyoto Encyclopedia of Genes, and Genomes (KEGG) pathway enrichment were carried out by the Database for Annotation, Visualization and Integrated Discovery (DAVID) v6.8. Protein-Protein Interaction (PPI) Networks Functional Enrichment Analysis of these DEGs was analyzed using the Search Tool for Recurring Instances of Neighbouring Genes (STRING). The results were then visualized by the software Cytoscape. The authors also used the online tool of Kaplan-Meier plotter survival analysis to assess the significance of the top ten genes in the prognosis of CCRC. A total of 192 DEGs were identified and the top ten key genes were picked out by the software Cytoscape. FN1, CXCR4, LOX, and PLG were then further screened out based on the overall survival analysis; SLC12A1 and LOX were screened out after the recurrence-free survival analysis. LOX was finally believed to be the most reliable prognostic factor since it has prognostic value for both overall survival and recurrence-free survival analysis. Our analysis suggests that LOX is the most reliable prognostic factor for CCRC patients. Key Words: Renal clear cell carcinoma, Microarray datasets, Bioinformatics approach, Prognostic factor, LOX.

A New Definition of Pyroptosis-Related Gene Markers to Predict the Prognosis of Lung Adenocarcinoma.

Pyroptosis, the prototype of programmed cell death, is crucial to the development of multicellular organisms. Lung cancer is one of the most lethal cancers in the world. Because lung cancer progresses quickly, it is mostly found at an advanced stage, resulting in a very poor prognosis of lung cancer. At present, there is no treatment with good prognosis, but pyroptosis-based tumor therapy may be able to solve this problem. In the past few decades, it has been found that pyroptosis can affect the invasion, proliferation, and metastasis of tumor and apoptosis is an important system to resist cancer. Our study is aimed at constructing a prognostic model within pyroptosis-related genes. We developed a prognostic model by using TCGA and GEO database, and differentially expressed genes (DEGs) were identified. Five genes (NLRP1, NOD1, NLRC4, CASP9, and PLCG1) were identified to construct a prognostic model. According to the median risk score calculated by our formula, we divided patients into the high- and low-risk groups. Pyroptosis-related genes play important roles in tumor immunity and can be used to predict the prognosis of lung adenocarcinoma (LUAD).