Systems Approaches in the Common Metabolomics in Acute Lymphoblastic Leukemia and Rhabdomyosarcoma Cells: A Computational Approach

Christos Tselios, Apostolos Zaravinos, Athanasios Tsartsalis, Anna Tagka, Athanasios Kotoulas, Styliani Geronikolou, Maria Braoudaki, George Lambrou

Research output: Contribution to journalArticlepeer-review


Acute lymphoblastic leukemia is the most common childhood malignancy. Rhabdomyosarcoma, on the other hand, is a rare type of malignancy which belongs to the primitive neuroectodermal family of tumors. The aim of the present study was to use computational methods in order to examine the similarities and differences of the two different tumors using two cell lines as a model, the T-cell acute lymphoblastic leukemia CCRF-CEM and rhabdomyosarcoma TE-671, and, in particular, similarities of the metabolic pathways utilized by two different cell types in vitro. Both cell lines were studied using microarray technology. Differential expression profile has revealed genes with similar expression, suggesting that there are common mechanisms between the two cell types, where some of these mechanisms are preserved from their ancestor embryonic cells. Expression of identified species was modeled using known functions, in order to find common patterns in metabolism-related mechanisms. Species expression manifested very interesting dynamics, and we were able to model the system with elliptical/helical functions. We discuss the results of our analysis in the context of the commonly occurring genes between the two cell lines and the respective participating pathways as far as extracellular signaling and cell cycle regulation/proliferation are concerned. In the present study, we have developed a methodology, which was able to unravel some of the underlying dynamics of the metabolism-related species of two different cell types. Such approaches could prove useful in understanding the mechanisms of tumor ontogenesis, progression, and proliferation.
Original languageEnglish
Pages (from-to)55-66
Number of pages11
JournalAdvances in Experimental Medicine and Biology
Publication statusPublished - 2021


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