• Researchers identify key factors impacti

    From ScienceDaily@1:317/3 to All on Mon May 9 22:30:42 2022
    Researchers identify key factors impacting adaptive therapy
    Spatial organization and competition between drug-resistant cells affect treatment outcomes

    Date:
    May 9, 2022
    Source:
    H. Lee Moffitt Cancer Center & Research Institute
    Summary:
    Researchers have been investigating an alternative treatment
    approach called adaptive therapy that focuses on maintaining disease
    control instead of complete tumor cell elimination. Researchers
    used mathematical modeling to reveal that the spatial organization
    of a tumor is an important factor that governs how cells compete
    with one another and the effectiveness of adaptive therapy.



    FULL STORY ==========================================================================
    Most cancer treatments are based on using the maximum tolerated dose
    of a drug to kill as many cancer cells as possible. While this approach
    has led to patients achieving good responses to therapy, most patients
    develop drug resistance and disease recurrence. Researchers in the Center
    of Excellence for Evolutionary Therapy at Moffitt Cancer Center have been investigating an alternative treatment approach called adaptive therapy
    that focuses on maintaining disease control instead of complete tumor
    cell elimination. In a new study published in Communications Medicine,
    the researchers used mathematical modeling to reveal that the spatial organization of a tumor is an important factor that governs how cells
    compete with one another and the effectiveness of adaptive therapy.


    ==========================================================================
    The development of drug resistance is one of the primary concerns in the oncology field. As each new targeted therapy is added to the arsenal of potential therapeutics, scientists are already addressing how to tackle inevitable drug resistance that occurs through a variety of different mechanisms. Drug resistance is common when using a maximum tolerated dose
    of a drug because this approach provides a growth advantage to existing resistant cells as they become free from competition with sensitive cells.

    Alternatively, the emerging concept of adaptive therapy is based on
    ecological principles that predict that maintaining a population of
    cancer cells that is sensitive to therapies will keep the development
    of resistance in check through competition. Similar approaches are used
    in other biological situations, such as insecticide use. It is now well accepted that using a less aggressive spraying approach and maintaining
    a "refuge" insecticide-free spot allows insecticide-sensitive insects
    to breed with resistant populations, which limits the propagation of
    resistant groups.

    These ecological concepts are now being more fully investigated in cancer.

    Promising results were observed from a recent early-stage clinical trial
    of prostate cancer patients treated with adaptive therapy, and additional larger clinical studies of adaptive therapy are underway in prostate
    cancer and melanoma. While these investigations continue, scientists
    need to improve their understanding of the cellular interactions that
    impact adaptive therapy.

    Previous studies have revealed that adaptive therapy depends on the
    competitive interactions of sensitive and resistance cells within a
    spatially constrained tumor; however, it is unknown how competition occurs
    and how it is impacted by the spatial arrangement of cells within the
    tumor. Rather than using typical cell or mouse models to study adaptive therapy, the Moffitt research team is using mathematical modeling that can better incorporate the numerous variables that impact adaptive therapy.

    In their study, the researchers used a two-dimensional model of a tumor composed of drug sensitive and resistant cells to directly quantify how different cells compete for space.

    "While competition is thought to be the driving mechanism behind adaptive therapy, it is challenging to assert its role in real tumors. This is
    because it is difficult to rule out confounding factors, such as treatment induced changes in the tumor vasculature or the immune response,"
    said Maximilian Strobl, Ph.D., a postdoctoral researcher at Moffitt and
    first author of the study. "However, in our computational model we can
    control and monitor the cells in a way not possible in the wet lab. We
    seized this opportunity to explicitly measure how often a resistant cell
    is blocked from division during adaptive therapy. The results of these experiments were surprising." Currently, it is believed that adaptive
    therapy permits drug sensitive cells to keep resistant cells in check
    through competition, but the Moffitt team discovered that competition
    between resistant cells themselves and their distribution across a tumor
    are important factors that also impact adaptive therapy. The researchers
    showed that adaptive therapy will be most effective when resistant cells
    are clustered in a single area and surrounded by sensitive cells. This
    scenario will allow resistant cells to be kept in check by sensitive
    cells and other resistant cells.

    These results suggest that it will be important to understand how
    resistant cells are spatially organized to determine the appropriate
    adaptive therapy treatment schedule; however, determining cell
    resistance patterns may require tissue biopsies that would be invasive
    and impractical. As an alternative approach, the researchers used
    response data from prostate cancer patients undergoing adaptive therapy
    to demonstrate that it may be possible to use mathematical modeling
    to determine spatial organization patterns. Patients who cycled through
    therapy quickly had more diffuse tumors, while patients who cycled through therapy more slowly tended to have more compact tumors that may be better suited to adaptive therapy.

    While additional studies are needed to more fully understand adaptive
    therapy, these results provide new insights into factors that are critical
    in determining its success.

    "We have shown that the spatial organization of resistant populations
    is an important and understudied factor in cancer treatment. This
    strengthens the argument for patient-specific, adaptive therapy
    protocols that explicitly consider not only a tumor's evolution but
    also its ecology," said Sandy Anderson, Ph.D., director of the Center
    of Excellence for Evolutionary Therapy and chair of the Department of Integrated Mathematical Oncology.

    This work was supported by the Engineering and Physical Sciences Research Council and the Medical Research Council (EP/L016044/1), the National
    Cancer Institute (U01CA232382 and U54CA193489) and the Moffitt Center
    of Excellence for Evolutionary Therapy.


    ========================================================================== Story Source: Materials provided by H._Lee_Moffitt_Cancer_Center_&_Research_Institute. Note: Content may be
    edited for style and length.


    ========================================================================== Journal Reference:
    1. Maximilian A. R. Strobl, Jill Gallaher, Jeffrey West, Mark
    Robertson-
    Tessi, Philip K. Maini, Alexander R. A. Anderson. Spatial structure
    impacts adaptive therapy by shaping intra-tumoral competition.

    Communications Medicine, 2022; 2 (1) DOI: 10.1038/s43856-022-00110-x ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2022/05/220509162805.htm

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