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Metabolic Profiling as an Approach to Differentiate T-Cell Acute Lymphoblastic Leukemia Cell Lines Belonging to the Same Genetic Subgroup. | LitMetric

AI Article Synopsis

  • T-cell acute lymphoblastic leukemia (T-ALL) is a serious cancer primarily found in children and teens, with various genetic mutations leading to at least six recognized subgroups, including the dominant TAL/LMO subgroup found in 30-45% of pediatric cases.
  • The study performed lipid and metabolic analysis on four T-ALL cell lines from the TAL/LMO subgroup (Jurkat, Molt-4, Molt-16, and CCRF-CEM), identifying 343 metabolites and revealing notable differences in their metabolic profiles, especially distinguishing Molt-4 as the most distinct line.
  • This research not only aids in subclassifying T-ALL cell lines but also uses bioinformatics to examine specific metabolic pathways, potentially paving

Article Abstract

T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive tumor mainly affecting children and adolescents. It is driven by multiple genetic mutations that together define the leukemic phenotype. Interestingly, based on genetic alterations and/or deregulated expression, at least six genetic subgroups have been recognized. The TAL/LMO subgroup is one of the most represented genetic subgroups, characterizing 30-45% of pediatric T-ALL cases. The study of lipid and metabolic profiles is increasingly recognized as a valuable tool for comprehending the development and progression of tumors. In this study, metabolic and lipidomic analysis via LC/MS have been carried out on four T-ALL cell lines belonging to the TAL/LMO subgroup (Jurkat, Molt-4, Molt-16, and CCRF-CEM) to identify new potential metabolic biomarkers and to provide a subclassification of T-ALL cell lines belonging to the same subgroup. A total of 343 metabolites were annotated, including 126 polar metabolites and 217 lipid molecules. The statistical analysis, for both metabolic and lipid profiles, shows significant differences and similarities among the four cell lines. The Molt-4 cell line is the most distant cell line and CCRF-CEM shows a high activity in specific pathways when compared to the other cell lines, while Molt-16 and Jurkat show a similar metabolic profile. Additionally, this study highlighted the pathways that differ in each cell line and the possible enzymes involved using bioinformatic tools, capable of predicting the pathways involved by studying the differences in the metabolic profiles. This experiment offers an approach to differentiate T-ALL cell lines and could open the way to verify and confirm the obtained results directly in patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11011837PMC
http://dx.doi.org/10.3390/ijms25073921DOI Listing

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