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Unlocking the Heterogeneity in Acute Leukaemia: Dissection of Clonal Architecture and Metabolic Properties for Clinical Interventions

International Journal of Molecular Sciences, ISSN: 1422-0067, Vol: 26, Issue: 1
2025
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Metric Options:   Counts1 Year3 Year

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  • Captures
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  • Mentions
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    • News Mentions
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Most Recent News

University of Milano Bicocca Researcher Reports on Findings in Acute Leukemia (Unlocking the Heterogeneity in Acute Leukaemia: Dissection of Clonal Architecture and Metabolic Properties for Clinical Interventions)

2025 JAN 09 (NewsRx) -- By a News Reporter-Staff News Editor at Cancer Daily -- Researchers detail new data in acute leukemia. According to news

Review Description

Genetic studies of haematological cancers have pointed out the heterogeneity of leukaemia in its different subpopulations, with distinct mutations and characteristics, impacting the treatment response. Next-generation sequencing (NGS) and genome-wide analyses, as well as single-cell technologies, have offered unprecedented insights into the clonal heterogeneity within the same tumour. A key component of this heterogeneity that remains unexplored is the intracellular metabolome, a dynamic network that determines cell functions, signalling, epigenome regulation, immunity and inflammation. Understanding the metabolic diversities among cancer cells and their surrounding environments is therefore essential in unravelling the complexities of leukaemia and improving therapeutic strategies. Here, we describe the currently available methodologies and approaches to addressing the dynamic heterogeneity of leukaemia progression. In the second section, we focus on metabolic leukaemic vulnerabilities in acute myeloid leukaemia (AML) and acute lymphoblastic leukaemia (ALL). Lastly, we provide a comprehensive overview of the most interesting clinical trials designed to target these metabolic dependencies, highlighting their potential to advance therapeutic strategies in leukaemia treatment. The integration of multi-omics data for cancer identification with the metabolic states of tumour cells will enable a comprehensive “micro-to-macro” approach for the refinement of clinical practices and delivery of personalised therapies.

Bibliographic Details

Capelletti, Martina Maria; Montini, Orsola; Ruini, Emilio; Tettamanti, Sarah; Savino, Angela Maria; Sarno, Jolanda

MDPI AG

Chemical Engineering; Biochemistry, Genetics and Molecular Biology; Chemistry; Computer Science

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