• Title of article

    A data model to predict HER2 status in breast cancer based on the clinical and pathologic profiles of a large patient population at a single institution

  • Author/Authors

    Joseph P. Crowe، نويسنده , , Rebecca J. Patrick، نويسنده , , Lisa A. Rybicki، نويسنده , , Pedro F. Escobar، نويسنده , , David Weng، نويسنده , , G. Thomas Budd، نويسنده , , Raymond R. Tubbs، نويسنده , , Gary W. Procop، نويسنده , , David G. Hicks، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2006
  • Pages
    8
  • From page
    728
  • To page
    735
  • Abstract
    Recently published clinical trial data have produced compelling evidence for increased survival when Herceptin is administered to patients whose tumors are HER2 amplified. Therefore, the accuracy of HER2 status is essential to determine which patients should or should not receive Herceptin. Although HER2 results obtained by FISH and IHC are often in agreement, there is a persistent group of cases in which results are discordant, particularly among tumors with intermediate results. A multivariable analysis was undertaken to determine relative significance of various clinical and pathologic findings for patients diagnosed with infiltrating ductal carcinoma, and a data model was produced that predicts which patients are most likely to have HER2 amplified tumors. Correlates of HER2 amplification were higher Scarff–Bloom–Richardson grade, younger age at diagnosis, and a comedo ductal carcinoma in situ component.
  • Keywords
    Breast MRI , Diagnostic impact , effectiveness , Staging of breast cancer
  • Journal title
    The Breast
  • Serial Year
    2006
  • Journal title
    The Breast
  • Record number

    455177