• MRI may lower breast cancer deaths from

    From ScienceDaily@1:317/3 to All on Thu Feb 17 21:30:44 2022
    MRI may lower breast cancer deaths from variants in 3 genes

    Date:
    February 17, 2022
    Source:
    University of Washington School of Medicine/UW Medicine
    Summary:
    Annual MRI screenings starting at ages 30 to 35 may reduce
    breast-cancer mortality by more than 50% among women who carry
    certain genetic changes in three genes, according to a comparative
    modeling analysis. The predictions involve pathogenic variants in
    ATM, CHEK2 and PALB2 genes - - which collectively are as prevalent
    as the much-reported BRCA1/2 gene mutations.



    FULL STORY ========================================================================== Annual MRI screenings starting at ages 30 to 35 may reduce breast-cancer mortality by more than 50% among women who carry certain genetic changes
    in three genes, according to a comparative modeling analysis to be
    published Feb.

    17, 2022, in JAMA Oncology.


    ==========================================================================
    The predictions involve pathogenic variants in ATM, CHEK2 and PALB2 genes
    - - which collectively are as prevalent as the much-reported BRCA1/2 gene mutations. Authors of the study, published in JAMA Oncology, contend that
    their findings support MRI screening in some of these women earlier than existing preventive-care guidelines propose.

    "Screening guidelines have been difficult to develop for these women
    because there haven't been clinical trials to inform when to start
    and how to screen," said Dr. Kathryn Lowry, an assistant professor of
    radiology at the University of Washington School of Medicine. She was
    the paper's lead author.

    The work was a collaboration of the Cancer Intervention and Surveillance Modeling Network (CISNET), the Cancer Risk Estimates Related to
    Susceptibility (CARRIERS) consortium, and the Breast Cancer Surveillance Consortium.

    Using established breast-cancer simulation models, the researchers input
    age- specific risk estimates provided by CARRIERS and recent published
    data for screening performance. The CARRIERS data involved more than
    32,000 breast- cancer patients and a similar number of patients who had
    no cancer.

    "For women with pathogenic variants in these genes, our modeling
    analysis predicted a lifetime risk of developing breast cancer at 21%
    to 40%, depending on the variant," Lowry said. "We project that starting
    annual MRI screening at age 30 to 35, with annual mammography starting
    at age 40, will reduce cancer mortality for these populations of women
    by more than 50%." The simulations compared the combined performance
    of mammography and MRI against mammography alone, and projected that
    annual MRI conferred significant additional benefit to these populations.



    ==========================================================================
    "We also found that starting mammograms earlier than age 40 did not have
    a meaningful benefit but increased false-positive screens," Lowry added.

    Results from CISNET models have informed past guidelines, including the
    2009 and 2016 U.S. Preventive Services Task Force recommendations for
    breast cancer screening in average-risk women.

    "Modeling is a powerful tool to synthesize and extend clinical trial and national cohort data to estimate the benefits and harms of different
    cancer control strategies at population levels," said Dr. Jeanne
    Mandelblatt, a professor at Georgetown Lombardi Comprehensive Cancer
    Center and a senior author on the paper.

    The simulations in this study also predicted the volume of false-positive screening results and benign biopsies, per 1,000 women scanned, that
    would accompany the authors' recommendations for annual MRIs starting
    earlier. Those projections translate to about four false-positive
    screening results and one to two benign biopsies per woman over a 40-year screening span, the authors said.

    To realize a benefit of cancer screening guidelines based on genetic susceptibility, a woman would need to know she carries an implicated gene variant before receiving a disease diagnosis. More often it's the case
    that a genetic test panel is administered after someone tests positive
    for cancer - - too late to be of preventive value for the patient but potentially life- saving for blood relatives who could seek genetic
    testing.



    ========================================================================== "People understand very well the value of testing for variants in BRCA1
    and BRCA2, the most common breast cancer predisposition genes. These
    results show that testing other genes, like ATM, CHEK2, and PALB2, can
    also lead to improved outcomes," said Dr. Mark Robson. He is chief of
    Breast Medicine Service at the Memorial Sloan Kettering Cancer Center
    and a senior author on the paper.

    The researchers hope their analysis will aid the National Comprehensive
    Cancer Network (NCCN), the American Cancer Society and other organizations
    that issue guidance for medical oncologists and radiologists.

    "Overall what we're proposing is slightly earlier screening than what the current guidelines suggest for some women with these variants," said Dr.

    Allison Kurian, a professor at the Stanford University School of Medicine
    and senior author on the paper. "For example, current NCCN guidelines
    recommend starting at age 30 for women with PALB2, and at 40 for ATM
    and CHEK2. Our results suggest that starting MRI at age 30 to 35 appears beneficial for women with any of the three variants." Funding for this
    study came from the Breast Cancer Research Foundation (17- 137); the
    National Institutes of Health / National Cancer Institute (U01CA199218, U01CA253911, R35CA197289, P30CA014520, P30CQA0008748, P01CA154292,
    U54CA163303, R01Hs018366-01A1); the American Cancer Society (RSG- 16-018-01-CPHPS); and the Patient-Centered Outcomes Research Institute
    (PCS- 1504-303070).

    ========================================================================== Story Source: Materials provided by University_of_Washington_School_of_Medicine/UW_Medicine.

    Note: Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Kathryn P. Lowry, H. Amarens Geuzinge, Natasha K. Stout, Oguzhan
    Alagoz,
    John Hampton, Karla Kerlikowske, Harry J. de Koning, Diana L.

    Miglioretti, Nicolien T. van Ravesteyn, Clyde Schechter, Brian L.

    Sprague, Anna N. A. Tosteson, Amy Trentham-Dietz, Donald Weaver,
    Martin J. Yaffe, Jennifer M. Yeh, Fergus J. Couch, Chunling
    Hu, Peter Kraft, Eric C. Polley, Jeanne S. Mandelblatt, Allison
    W. Kurian, Mark E. Robson, Steven N. Hart, Katherine L. Nathanson,
    Susan M. Domchek, Christine B.

    Ambrosone, Hoda Anton-Culver, Paul Auer, Elisa V. Bandera,
    Leslie Berstein, Kimberly A. Bertrand, Elizabeth S. Burnside,
    Brian D. Carter, Heather Eliassen, Mia Gaudet, Christopher Haiman,
    James M. Hodge, David J. Hunter, Eric J. Jacobs, Esther M. John,
    Charles Kooperberg, James V.

    Lacey, Loic Le Marchand, Sara Lindstrom, Huiyan Ma, Elena Martinez,
    Susan Neuhausen, Polly A. Newcomb, Katie M. O'Brien, Janet E. Olson,
    Irene M.

    Ong, Tuya Pal, Julie R. Palmer, Alpa V. Patel, Sonya Reid,
    Lynn Rosenberg, Dale P. Sandler, Rulla Tamimi, Jack A. Taylor,
    Lauren Teras, Celine M. Vachon, Clarice Weinberg, Siddhartha
    Yadav, Song Yao, Argyrios Ziogas, Jeffrey N. Weitzel, David
    E. Goldgar. Breast Cancer Screening Strategies for Women With ATM,
    CHEK2, and PALB2 Pathogenic Variants. JAMA Oncology, 2022; DOI:
    10.1001/jamaoncol.2021.6204 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2022/02/220217122325.htm

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