• New factors that can predict breast canc

    From ScienceDaily@1:317/3 to All on Fri Apr 22 22:30:48 2022
    New factors that can predict breast cancer recurrence defined
    Discovery has the potential to also benefit treatment choices

    Date:
    April 22, 2022
    Source:
    Georgetown University Medical Center
    Summary:
    Genetics and other factors that can determine if a woman is at risk
    for a recurrence of breast cancer have been identified, providing
    new research avenues for preventing a new tumor from developing.



    FULL STORY ========================================================================== Genetics and other factors that can determine if a woman is at risk for
    a recurrence of breast cancer have been identified by investigators at Georgetown Lombardi Comprehensive Cancer Center, providing new research
    avenues for preventing a new tumor from developing. The discovery was
    made possible by an advanced technology developed at Georgetown Lombardi
    that allows laboratory researchers to greatly expand, or multiply, hard-to-extract breast tissue cells.


    ==========================================================================
    The finding appeared April 22, 2022, in Scientific Reports.

    The researchers focused on breast epithelial cells, which are the layer of cells that form the ducts and lobes which make milk during lactation. The investigators extracted these cells from donated non-cancerous tissue
    in the same breast as the one that had cancerous tissue removed during
    a mastectomy.

    The scientists were looking for numerous factors that could kick-start recurrence, but their main target was the entire collection of RNA
    sequences in a cell -- the transcriptome -- that helps determine when
    and where each gene is turned on or off in a cell.

    Even though surgical techniques continue to improve, undetectable
    microscopic pieces of tumor can remain and are one factor for recurrence
    of breast cancer in up to 15 percent of women, sometimes years after
    surgery; people with hormone-receptor positive breast cancer have the
    highest risk of recurrence.

    When analyzing expanded epithelial cells from women who had chemotherapy
    before their surgery, the researchers found significantly altered RNA. In particular, they saw significant changes in genes that had previously
    been recognized as prognostic indicators for cancer.

    "When a person is diagnosed with breast cancer, we have several tools, including testing for genes such as BRCA1/2, to decide whether they should
    get certain kinds of chemotherapy or just receive hormonal therapy. But
    the tools we have are not as precise as we would like," says Priscilla
    Furth, M.D., professor of oncology and medicine at Georgetown Lombardi
    and corresponding author of the study. "About one in eight women are
    diagnosed with breast cancer in the developed world. We hope that our
    findings will help lead to more precise and directed screening in the
    future, sparing women unneeded procedures as we currently screen almost
    all women between the ages of 40 to 70, sometimes very aggressively."
    The researchers also noted that there are implications for women who
    have not had breast cancer as some of the RNA alterations were linked to mammary stem cell formation. Stem cells are self-renewing and related to
    growth and development. Mammary stem cells are adult stem cells that can differentiate, or change function, into specialized mammary epithelial
    cells. If these cells get dysregulated, there is an increased potential
    for cancer. Cells from pregnant women were of particular interest to
    the researchers as pregnancy usually triggers extra renewing cycles in
    a cell, potentially increasing the risk of cancer.

    This research effort was greatly aided by the conditionally reprogrammed
    cells (CRC) technique that was invented and patented at Georgetown. This
    study used CRC for the initial isolation of epithelial cells. CRC is the
    only known system that can indefinitely grow healthy as well as cancer
    cells; up to a million new cells can be grown in a week. Heretofore,
    one of the key problems in studying these cells was that epithelial cell cultures were often contaminated with the other cell types, particularly fibroblasts which grow very quickly in culture while epithelial cells grow
    a bit slower. Primary tumor cells also can be difficult to isolate but
    the researchers had increased success using the CRC technique compared
    to conventional methods.

    "Many of our cancer survivors say to me, 'please do work that will
    benefit my daughter.' My response is that's why I'm in the field of cancer prevention," says Furth. "Anything we can do to prevent the occurrence
    or recurrence of cancer is a significant step forward and we think this
    finding may be an important contribution to reducing misdiagnosis as
    well as point to ways to develop better therapies to treat the disease."
    In addition to Furth, the other authors from Georgetown include Sahar J.

    Alothman, Keunsoo Kang, Xuefeng Liu, Ewa Krawczyk, Redha I. Azhar, Rong
    Hu, David Goerlitz and Bhaskar V. Kallakury, Funding includes grants
    from NCI (RO1CA112176 and P30CA051008) and the King Abdullah Scholarship Program, Kingdom of Saudi Arabia.


    ========================================================================== Story Source: Materials provided by
    Georgetown_University_Medical_Center. Note: Content may be edited for
    style and length.


    ========================================================================== Journal Reference:
    1. Sahar J. Alothman, Keunsoo Kang, Xuefeng Liu, Ewa Krawczyk, Redha I.

    Azhar, Rong Hu, David Goerlitz, Bhaskar V. Kallakury, Priscilla
    A. Furth.

    Characterization of transcriptome diversity and in vitro behavior
    of primary human high-risk breast cells. Scientific Reports, 2022;
    12 (1) DOI: 10.1038/s41598-022-10246-4 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2022/04/220422094313.htm

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