en Genetics Genetics پژوهشي Original Article <div> <table align="left" hspace="0" vspace="0"> <tbody> <tr> <td align="left" style="padding-top:0in; padding-right:12px; padding-bottom:0in; padding-left:12px" valign="top"> <p style="text-align: justify;"><span style="line-height:2;"><span style="font-family:Arial;"><span style="font-size:14px;"><b>Background: </b>Acute myeloid leukemia (AML) is a malignant disorder characterized by a poor prognosis. Current therapeutic approaches include chemotherapy, steroids administration, and blood transfusion. Previous studies have highlighted the potential anticancer property of 9-hydroxyoctadecadienoic acid (9S-HOD). This molecular computational research aims to investigate the intricate molecular mechanism underlying the effects of 9S-HOD on leukemia cells.<br> <b>Methods: </b>Utilizing proteomic data and the optimum numbers of the first neighbors from the STRING database, Cytoscape 3.9.1 along with its applications, NetworkAnalyzer and ClueGO+CuePedia were employed to analyze the constructed protein-protein interaction (PPI) network, its centrality and enrichments.<br> <b>Results: </b>The analysis identified five proteins namely ACTB, HSP90AA1, GAPDH, TP53, and HSP90AB1 as potential central nodes within the PPI network. Furthermore, gene ontology analysis revealed &ldquo;Response to salt stress&rdquo; and &ldquo;Positive regulation of type 1 interferon production&rdquo; as enriched biological processes associated with these key elements of the PPI network. HSPA8, MYC, and KAT5 were identified as seed proteins within the sub-networks.<br> <b>Conclusion: </b>The findings suggest that the effect of 9S-HOD on the leukemia cells primarily involves the regulation of ACTB, HSP90AA1, HSP90AB1, GAPDH, and TP53.&nbsp; additionally, HSPA8, MYC, and KAT5 emerged as important proteins influenced by 9S-HOD.</span></span></span></p> </td> </tr> </tbody> </table> </div> <p style="text-align: justify;"></p> 9-hydroxyoctadecadienoic acid (9S-HOD), Leukemia cells, Protein-protein interaction network analysis, Centrality, Gene ontology. 253 261 http://ijbc.ir/browse.php?a_code=A-10-993-1&slc_lang=en&sid=1 Vahid Mansouri 10031947532846009855 10031947532846009855 No Proteomics research center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran Mona Zamanian Azodi mona.azodi@gmail.com 10031947532846009856 10031947532846009856 Yes Proteomics research center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Reza M Robati rezarobati@sbmu.ac.ir 10031947532846009857 10031947532846009857 No Skin research center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Zahra Razzagh z.razaghi@gmail.com 10031947532846009858 10031947532846009858 No Laser Application in Medical Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Babak Arjmand mgrc.tums@gmail.com 10031947532846009859 10031947532846009859 No Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran. and Iranian Cancer Control Center (MACSA), Tehran, Iran Mostafa Rezaei Tavirani tavirany@yahoo.com 10031947532846009860 10031947532846009860 No Proteomics research center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Mohammad Rostami Nejad m.rostamii@gmail.com 10031947532846009861 10031947532846009861 No Celiac Disease and Gluten Related Disorders Research Center, Research Institute for Gastroenterology and Liver Disease, Shahid Beheshti University of Medical Sciences, Tehran, Iran.