Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients.

Journal: Clinical cancer research : an official journal of the American Association for Cancer Research
PMID: 32139401

Abstract

PURPOSE: Between 30%-40% of patients with prostate cancer experience disease recurrence following radical prostatectomy. Existing clinical models for recurrence risk prediction do not account for population-based variation in the tumor phenotype, despite recent evidence suggesting the presence of a unique, more aggressive prostate cancer phenotype in African American (AA) patients. We investigated the capacity of digitally measured, population-specific phenotypes of the intratumoral stroma to create improved models for prediction of recurrence following radical prostatectomy.

Authors

  • Hersh K Bhargava
    Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California.
  • Patrick Leo
    Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.
  • Robin Elliott
    Department of Pathology, Case Western Reserve University, Cleveland, Ohio.
  • Andrew Janowczyk
    Biomedical Engineering Department, Case Western Reserve University, Cleveland, Ohio.
  • Jon Whitney
    The Tony and Leona Campane Center for Excellence in Image-Guided Surgery and Advanced Imaging Research, Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio.
  • Sanjay Gupta
    Department of Urology, Case Western Reserve University, Cleveland, Ohio.
  • Pingfu Fu
    Department of Biomedical Engineering, Case Western Reserve University School of Engineering, 2071 Martin Luther King Dr, Cleveland, OH 44106-7207 (M. Khorrami, K.B., A.M.); Departments of Internal Medicine (M. Khunger) and Solid Tumor Oncology (A.Z., P.P.), Cleveland Clinic, Cleveland, Ohio; Department of Internal Medicine, Maimonides Medical Center, Brooklyn, NY (R.T.); Department of Radiology, UT Southwestern Medical Center, Dallas, Tex (P.R.); Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio (P.F.); Department of Hematology and Oncology, New York University, New York, NY (V.V.); Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio (A.M.).
  • Kosj Yamoah
    Moffitt Cancer Center & Research Institute and Department of Radiation Oncology, University of South Florida, Tampa, Florida.
  • Francesca Khani
    Departments of Pathology and Laboratory Medicine and Urology, Weill Cornell Medicine, New York, New York.
  • Brian D Robinson
    Departments of Pathology and Laboratory Medicine and Urology, Weill Cornell Medicine, New York, New York.
  • Timothy R Rebbeck
    T.H. Chan School of Public Health and Dana Farber Cancer Institute, Harvard University, Boston, Massachusetts.
  • Michael Feldman
    Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia, PA, United States; Abramson Cancer Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.
  • Priti Lal
    Department of Pathology, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Anant Madabhushi
    Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.

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