2023
DOI: 10.1111/bph.16162
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Understanding the interaction between leukaemia stem cells and their microenvironment to improve therapeutic approaches

Abstract: Although chemotherapeutic regimens can eliminate blasts in leukaemia patients, such therapies are associated with toxicity and often fail to eliminate all malignant cells resulting in disease relapse. Disease relapse has been attributed to the persistence of leukaemia cells in the bone marrow (BM) with the capacity to recapitulate disease; these cells are often referred to as leukaemia stem cells (LSCs). Although LSCs have distinct characteristics in terms of pathobiology and immunophenotype, they are still re… Show more

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Cited by 2 publications
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“…Two-dimensional model systems overestimate therapeutic efficacy (Dainiak et al, 2008), failing to translate into clinical efficacy. Furthermore, xenograft mouse models lack a functional immune system, with findings generated from these models not directly applicable to humans, as human cancer cellhuman TME interactions differ from human cancer cell-murine TME interactions at the cellular and molecular level (Martinez & Guzman, 2023). Three-dimensional model systems incorporating TME-resident cells (e.g., X, Y, Z) and extracellular matrix (ECM) components hold much promise (Nyamondo & Wheadon, 2023) as they more accurately reflect TME features, such as hypoxia and reactive oxygen species, not present in most 2D models.…”
mentioning
confidence: 99%
“…Two-dimensional model systems overestimate therapeutic efficacy (Dainiak et al, 2008), failing to translate into clinical efficacy. Furthermore, xenograft mouse models lack a functional immune system, with findings generated from these models not directly applicable to humans, as human cancer cellhuman TME interactions differ from human cancer cell-murine TME interactions at the cellular and molecular level (Martinez & Guzman, 2023). Three-dimensional model systems incorporating TME-resident cells (e.g., X, Y, Z) and extracellular matrix (ECM) components hold much promise (Nyamondo & Wheadon, 2023) as they more accurately reflect TME features, such as hypoxia and reactive oxygen species, not present in most 2D models.…”
mentioning
confidence: 99%