ABSTRACT
Objective:To explore the key genes related to the development, progression and prognosis of acute myeloid leukemia (AML) based on bioinformatics, and to analyze their functions.Methods:The chip expression profile GSE84881 data set of AML patients including 19 AML samples and 4 normal tissue samples was downloaded from the gene expression omnibus (GEO) database. GEO online tool GEO2R was used to screen the differentially expressed genes (DEG). The DAVID online database was used to make gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis of DEG. The STRING online database was used to analyze the protein interaction (PPI) network of DEG, and the key genes were screened by using the Cytoscape software. The weighted gene co-expression network analysis (WGCNA) was used to build co-expressed network and obtain the central genes.LC-Bio online platform was used to construct Venn diagram and the key genes and central genes in PPI were crossed to finally obtain the true key genes. RNA-seq datasets GSE2191 and GSE90062 of human tissues were downloaded from GEO database to verify the screened key genes. Kaplan-Meier method was used to analyze the effects of key genes on the overall survival (OS) of AML based on the data of GEPIA database.Results:A total of 247 DEG were identified in GSE84881 data set, including 112 up-regulated genes and 135 down-regulated genes. According to the results of GO enrichment analysis, 247 DEG were mainly enriched in the regulation of signal transduction and cell proliferation in the biological process (BP); the cell composition (CC) revealed that these genes were mainly involved in the cytoplasm and exosomes; the molecular function (MF) analysis showed that these genes were mainly enriched in protein binding and calcium binding. Further KEGG pathway enrichment analysis showed that these 247 DEG were mainly involved in NOD-like receptor signal pathway and interleukin 17 (IL-17) signal pathway. And then the 12 key genes were obtained from PPI. WGCNA software was used to screen 13 central genes from GSE84881 dataset and finally 1 real key gene EGF was obtained after taking intersection. Kaplan-Meier method showed that OS time of AML patients in EGF high expression group was decreased than that in EGF low expression group, and the difference was statistically significant( P = 0.044). Conclusions:EGF may be an important diagnosis and treatment target of AML and may become a potential biomarker for clinical treatment and prognosis prediction of AML.
ABSTRACT
The clinical data of a child with chemical pneumonia caused by kerosene in Hainan Maternal and Children′s Medical Center in June 2019 were retrospectively analyzed.The patient was a 2 years and 1 month old boy with a history of kerosene inhalation and fever.The clinical features included low breath sounds in the left lung and dry and wet rales in both lungs.The white blood cells (WBC) level, C-reactive protein (CRP) level, and erythrocyte se-dimentation rate (ESR) were significantly increased.Chest CT showed inhalation pneumonia.Chest ultrasound suggested medium pleural effusion on the left side.The patient was given antibiotics, nebulization and other treatment.On the 12 th day of the course of the disease, his temperature returned to normal, and breath sounds on the left side were stronger than before.The WBC level, CRP level and ESR were improved according to the re-check results, but pulmonary ventilation was still obstructed mildly to moderately.Fourteen days after hospital discharge, the patient coughed less.Reexamination of chest CT prompted the lesions were further absorbed, but the mild to moderate obstructive lesions were still observed.With the reduction of kerosene use in daily life, kerosene-induced chemical pneumonia is rare, but due to its diverse and complex clinical manifestations and slow absorption of pulmonary inflammation, attention should be paid to its progression into chronic cough.