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Deciphering Metabolic Adaptability of Leukemic Stem Cells.
Patel, Sweta B; Nemkov, Travis; D'Alessandro, Angelo; Welner, Robert S.
Afiliação
  • Patel SB; Department of Medicine, Division of Hematology/Oncology, O'Neal Comprehensive Cancer Center, University of Alabama at, Birmingham, AL, United States.
  • Nemkov T; Divison of Hematology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
  • D'Alessandro A; Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
  • Welner RS; Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Front Oncol ; 12: 846149, 2022.
Article em En | MEDLINE | ID: mdl-35756656
ABSTRACT
Therapeutic targeting of leukemic stem cells is widely studied to control leukemia. An emerging approach gaining popularity is altering metabolism as a potential therapeutic opportunity. Studies have been carried out on hematopoietic and leukemic stem cells to identify vulnerable pathways without impacting the non-transformed, healthy counterparts. While many metabolic studies have been conducted using stem cells, most have been carried out in vitro or on a larger population of progenitor cells due to challenges imposed by the low frequency of stem cells found in vivo. This creates artifacts in the studies carried out, making it difficult to interpret and correlate the findings to stem cells directly. This review discusses the metabolic difference seen between hematopoietic stem cells and leukemic stem cells across different leukemic models. Moreover, we also shed light on the advancements of metabolic techniques and current limitations and areas for additional research of the field to study stem cell metabolism.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article