A bioinformatics approach to analysis UPR-related gens impact onAML

Acute myeloid leukemia (AML) is a cancer of the blood and bone marrow. It is the most common type of acuteleukemia in adults. This type of cancer usually gets worse or can recur quickly if it is not treated. AML is alsocalled acute myelogenous leukemia and acute nonlymphocytic leukemia . The unfolded protein response (UPR)is an evolutionarily conserved adaptive response triggered by the stress of the endoplasmic reticulum. UPR canchange cell protein homeostasis . It have pivotal signature in cancers progression like breast cancer but its role inAML have been not fully investigated. Here, UPR associated proteins were extracted from GeneCards database, transcriptional data for AML and normal blood cells were achieved from TCGA and GTEx respectively. Forobtaining Differentially Expressed Genes (DEG) in AML, three R packages were used , and . The intersectionof these DEGs with UPR related genes were extracted and the products of this DEGs were invested by usingString database and PPI network obtained. By Cytoscape topological properties of the network were studied.To see the e↵ect of UPR-related DEGs in survival time of the patients, two groups of AML patients extractedand named the ones with low and high survival time. DEGs were achieved by limma R package and then theintersection of theses gens by UPR related gens like BRCA۱ and Cenpi were reported. Gene enrichment analysiswere done to find significant terms, like cell cycle, in survival time of patients. In this work, a bioinformatics approachemployed to investigate UPR role in AML. Results showed that UPR can be the promising diagnostic target in AML

Keywords:

UPR , AML , Gene expression data