HUILI ZHU¹, LINA XIAO¹, XIA YIN¹, SHIBING XIANG¹, CHUNHUI WANG^2,*

BIOCELL, Vol.46, No.10, pp. 2241-2256, 2022, DOI:10.32604/biocell.2022.020389

Abstract Pancreatic ductal adenocarcinoma (PDAC) is highly heterogeneous, making its prognosis prediction difficult. The arachidonic acid (AA) cascade is involved in carcinogenesis. Therefore, the metabolic enzymes of the AA cascade consist of lipoxygenases (LOXs), phospholipase A2s (PLA2s), and cyclooxygenases (COXs) along with their metabolic products, including leukotrienes. Nevertheless, the prognostic potential of AA metabolism-associated PDAC has not been explored. Herein, the mRNA expression patterns and the matching clinical information of individuals with PDAC were abstracted from online data resources. We employed the LASSO Cox regression model to develop a multigene clinical signature in the TCGA queue. The GEO queue and the… More >

HANYU SHEN¹, SHIQI REN², WEI WANG², CHENLIN ZHANG³, HAIYAN HAO⁴, QIUYAN SHEN⁵, YINONG DUAN¹, ZIHENG WANG^2,6,*, WENLIANG GE^7,*

BIOCELL, Vol.44, No.4, pp. 583-589, 2020, DOI:10.32604/biocell.2020.011345

Abstract Sepsis, characterized as life-threatening sequential organ failure, is caused by a dysregulated host immune response to a pathogen. Conventional practice for sepsis is to control the inflammation source and administer highgrade antibiotics. However, the mortality rate of sepsis varies from 25–30% and can reach 50% if a septic shock occurs. In our current study, we used bioinformatics technology to detect immune status profiles in sepsis at the genomic level. We downloaded and analyzed gene expression profiles of GSE28750 from the Gene Expression Omnibus (GEO) database to determine differential gene expression and immune status between sepsis and normal samples. Next, we… More >