Title: Downregulation of CENPA and CCNB1 as a factor predicting the poor prognosis of acute myeloid leukaemia: a systems biological approach

Authors: Mohammad Hossein Shams; Saeid Afshar; Elmira Parto Beiragh; Azin Atabakhsh; Hassan Rafieemehr

Addresses: Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran ' Cancer Research Center, Institute of Cancer, Avicenna Health Research Institute, Hamadan University of Medical Sciences, Hamadan, Iran; Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Hamadan University of Medical Sciences, Hamadan, Iran ' Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran ' Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran ' Department of Medical Laboratory Sciences, School of Paramedicine, Hamadan University of Medical Sciences, Hamadan, Iran

Abstract: Acute myeloid leukaemia (AML) is a complex hematologic malignancy. The present study takes a novel approach using bioinformatics to identify the primary molecular markers involved in AML pathogenesis. The differential expression of GEO microarray data (LogFC ≤ -1 / ≥1, adj. P-value ≤ 0.01, P-value ≤ 0.01) is analysed, and then the corresponding protein network (PPI) is drawn and examined using Cytoscape 3.6. The findings are validated externally and clinically using the GEPIA database and a survival curve. This study also identified important transcription factors (TF) affecting the expression of hub genes. The key finding is that the downregulation of CENPA and CCNB1 is associated with shorter overall survival in AML, with FOXM1 identified as a potential regulating TF. It is also suggests that disruption in various cellular features such as cell cycle, replication, and cell signalling may play roles in the pathogenesis of AML.

Keywords: CENPA; CCNB1; systems biology; FOXM1; molecular markers; gene expression profiling.

DOI: 10.1504/IJDMB.2026.154700

International Journal of Data Mining and Bioinformatics, 2026 Vol.30 No.3/4, pp.291 - 315

Received: 30 Mar 2024
Accepted: 12 Dec 2024
Published online: 10 Jul 2026 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article