Identification of Bioinformatics of the Metastasis of Endometrial Carcinoma Based on Gene Expression Microarray

Objective: We aimed to explore the bioinformatics of endometrial carcinoma (EC) metastasis. Methods: The microarray information of 4 cases of progressive endometrial cancer (PEC) and 4 cases of non-progressive controls (NPC) were collected from the Gene Expression Omnibus Database (GEOD). The Limma package in R was performed to selected the differentially expressed genes (DEGs). Then, the hierarchical clustering of DEGs was carried out. In addition, bioinformatics analysis was carried out. Results: There were 65 DEGs identified between PEC and NPC. Those DEGs were mostly enriched in cell proliferation function, MAPK and TGF-β signaling pathways. Furthermore, those DEGs were related to of the increased contents of IGF2 and PLAG1, and decreased contents of THBS4 and FGF20. Conclusions: There were 65 DEGs identified in endometrial cancer between progressive and non-progressive. Those DEGs were significantly related to tumor metastasis. Increased levels of IGF2 and PLAG1, and decreased levels of THBS4 and FGF20 may have a notable effect on the development of EC.

Download Full-text

Exploring key genes and pathways underlying metastasis endometrial cancer based on gene expression microarray

Biomedical Research ◽

10.4066/biomedicalresearch.29-17-1326 ◽

2018 ◽

Vol 29 (1) ◽

Author(s):

Hui Wang ◽

Xinhui Sun ◽

Shuai Shao ◽

Na Liu

Keyword(s):

Gene Expression ◽

Endometrial Cancer ◽

Gene Expression Microarray ◽

Expression Microarray ◽

Key Genes

Download Full-text

975. Why Sex Make a Difference in HIV Clinical Course? Bioinformatics Analysis of Differential Expressed Gene in Females and Males with HIV Disease

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.1161 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S516-S517

Author(s):

Kulachanya Suwanwongse ◽

Nehad Shabarek

Keyword(s):

Gene Expression ◽

Bioinformatics Analysis ◽

Underlying Mechanism ◽

Gene Expression Omnibus ◽

Functional Enrichment ◽

Gender Inequalities ◽

Hiv Disease ◽

Go Analysis ◽

Hiv Progression ◽

Pathway Analyses

Abstract Background Human immunodeficiency virus (HIV) disease progression are different among genders, in which women usually progress to acquired immunodeficiency syndrome (AIDS) faster than men. The mechanisms resulting in the gender biases of HIV progression are unclear. We conducted a bioinformatics analysis of differentially expressed genes (DEGs) in women and men with HIV disease to understand the sex-based differences in HIV pathogenesis. Methods We obtained microarray data from the Gene Expression Omnibus (GEO) database using our pre-defined search strategy and analyzed data using the GEO2R platform. The t-test was done to compare DEGs between females and males with HIV diseases. The Database for Annotation, Visualization, and Integrated Discovery (DAVID) was implemented to systematically extract biological features and processes of retrieving DEGs via gene ontology (GO) analysis. A Systemic search was performed to evaluate each DEG function and its possible association with HIV. Results One gene expression profiling data were retrieved: GSE 140713, composed of 40 males and 10 females with HIV1 infected samples. A GEO2R analysis yielded 19 DEGs (Table 1). The GO analysis result was demonstrated in Tables 2 and 3. Following a systemic search, we found two DEGs, which have previous studies reported an association with HIV: DDX3X (20 studies) and PDS5 (1 study). We proposed DDX3X (t 5.3, p 0.0037) is responsible for gender inequalities of HIV progression because of: 1. DDX3X is needed in the HIV1 life cycle. 2. Several studies confirmed a positive correlation between DDX3X expression and HIV1 replication. 3. Our study found an up-regulated DDX3X expression in women corresponded to the fact that women progress to AIDS faster than men. 4. Our GO analysis showed female up-regulated genes were enriched in positive regulation of the gene expression pathway, which can be explained by DDX3X and its underlying mechanism. Table 1: DEGs in women and men with HIV1 disease Table 2: GO functional enrichment pathway analyses of overall retrieving DEGs Table 3: GO functional enrichment pathway analyses of down- and up-regulated clusters of DEGs Conclusion Aberrant DDX3X expression may contribute to sex-based differences in HIV disease. Drugs modifying DDX3X gene expression will be beneficial in the treatment of HIV especially resolving the HIV drug resistance problem because current anti-HIV drugs target viral components posed the risk of viral mutation. Disclosures All Authors: No reported disclosures

Download Full-text