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Combining magnetic resonance imaging with a multi-ancestry polygenic risk score to improve identification of clinically significant prostate cancer.
Plym, Anna; Madueke, Ikenna; Naik, Sachin; Isabelle, Mark; Conti, David V; Haiman, Christopher A; Penney, Kathryn L; Mucci, Lorelei A; Khorasani, Rhamin; Kibel, Adam S.
Affiliation
  • Plym A; Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Madueke I; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Naik S; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Isabelle M; Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Conti DV; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Haiman CA; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Penney KL; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Mucci LA; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Khorasani R; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Kibel AS; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
JNCI Cancer Spectr ; 8(2)2024 Feb 29.
Article in En | MEDLINE | ID: mdl-38429995
ABSTRACT
Multi-parametric magnetic resonance imaging (mpMRI) has emerged as an important tool for identifying clinically significant prostate cancer. We examined if the addition of a 400-variant multi-ancestry polygenic risk score (PRS) to mpMRI has the potential to improve identification. Based on data from 24 617 men from the Mass General Brigham Biobank, we identified 1243 men who underwent mpMRI. Men in the top PRS quartile were more likely to have clinically significant prostate cancer (47.1% vs 28.6% in the bottom PRS quartile, adjusted relative proportion 1.72 [95% CI = 1.35 to 2.19]). Both among men with a positive and a negative mpMRI, men in the top PRS quartile had the highest frequency of clinically significant cancer. In a constructed scenario for selecting men to undergo biopsy, use of the PRS lowered the frequency of missed clinically significant cancers from 9.1% to 5.9%. Our study provides initial support for using the PRS to improve identification of potentially lethal prostate cancer.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Genetic Risk Score Limits: Humans / Male Language: En Journal: JNCI Cancer Spectr Year: 2024 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Genetic Risk Score Limits: Humans / Male Language: En Journal: JNCI Cancer Spectr Year: 2024 Document type: Article Affiliation country: United States Country of publication: United kingdom