Introducing prognosis biomarkers of acute myeloid leukemia by weighted gene co-expression network analysis

Backgrounds: Acute myeloid leukemia (AML) is a cancer of blood and bone marrow which is amajor subtype of leukemia that characterized by abnormal proliferation of immature myeloidcells. Although the prognosis approaches of AML have gradually improved but there is demandto find more confident AML biomarkers for prognosis and diagnosis. Some of the mostimportant differentially expressed genes which have immunological functions are reported asbiomarkers in this paper.Materials and Methods: We carried out differential expression analysis in ۳۷ samples (۱۹patients and ۱۸ controls) with two sets of public RNA sequencing data (PRJNA۵۷۶۸۶۷,PRJNA۵۷۶۷۱۸ bioprojects). After preprocessing of raw data, we used DESeq۲ package in R torecognize differentially expressed genes. Finally, weighted gene co-expression network analysis(WGCNA) performed to detect hub genes.Results: Our RNA sequencing results showed ۵۴۷ genes up regulated and ۴۶۴ down regulatedgenes. Downstream analysis revealed that six major genes includes MYCNOS, APPL۲, TREML۴,S۱۰۰A۸, S۱۰۰A۹ and VSIR (VISTA) which were significantly dysregulated (padj < ۰.۰۵) areeffective in immune response of AML patients.Conclusion: In this study, we introduced six genes that are effective in immunological responseof AML patients. Our data demonstrated that MYCNOS was upregulated and five other geneswere downregulated. Downregulation of APPL۲, TREML۴, S۱۰۰A۸, S۱۰۰A۹ and VSIR (VISTA)are effective to enhance proliferation of AML cells. Further studies are required for betterunderstanding of the molecular mechanisms to utilize these markers applicable for prognosis anddiagnosis of AML.

کلیدواژه ها:

Acute myeloid leukemia ، RNA sequencing ، Differential expression ، Biomarkers