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A decision-oriented framework for genomic testing across the prostate cancer continuum.

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Title: A decision-oriented framework for genomic testing across the prostate cancer continuum.
Authors: Cobran EK; Department of Quantitative Health Science, Mayo Clinic College of Medicine and Science, Scottsdale, Arizona, USA. Electronic address: cobran.ewan@mayo.edu., Samadder NJ; Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine and Science, Phoenix, Arizona, USA., Schaid DJ; Department of Quantitative Health Science, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA., Conti DV; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA., Haiman C; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA., Vargas L; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA., Gionfriddo MR; Knowledge and Evaluation Research Unit, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA., Tilburt JC; Department of Internal Medicine, Mayo Clinic College of Medicine and Science, Phoenix, Arizona, USA.
Source: Cancer genetics [Cancer Genet] 2026 Jun 04; Vol. 306-307, pp. 63-68. Date of Electronic Publication: 2026 Jun 04.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101539150 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2210-7762 (Print) NLM ISO Abbreviation: Cancer Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Cobran+EK%22">Cobran EK</searchLink>; Department of Quantitative Health Science, Mayo Clinic College of Medicine and Science, Scottsdale, Arizona, USA. Electronic address: cobran.ewan@mayo.edu.<br /><searchLink fieldCode="AU" term="%22Samadder+NJ%22">Samadder NJ</searchLink>; Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine and Science, Phoenix, Arizona, USA.<br /><searchLink fieldCode="AU" term="%22Schaid+DJ%22">Schaid DJ</searchLink>; Department of Quantitative Health Science, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA.<br /><searchLink fieldCode="AU" term="%22Conti+DV%22">Conti DV</searchLink>; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.<br /><searchLink fieldCode="AU" term="%22Haiman+C%22">Haiman C</searchLink>; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.<br /><searchLink fieldCode="AU" term="%22Vargas+L%22">Vargas L</searchLink>; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.<br /><searchLink fieldCode="AU" term="%22Gionfriddo+MR%22">Gionfriddo MR</searchLink>; Knowledge and Evaluation Research Unit, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA.<br /><searchLink fieldCode="AU" term="%22Tilburt+JC%22">Tilburt JC</searchLink>; Department of Internal Medicine, Mayo Clinic College of Medicine and Science, Phoenix, Arizona, USA.
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  Data: <searchLink fieldCode="JN" term="%22101539150%22">Cancer genetics</searchLink> [Cancer Genet] 2026 Jun 04; Vol. 306-307, pp. 63-68. <i>Date of Electronic Publication: </i>2026 Jun 04.
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        Value: 10.1016/j.cancergen.2026.06.002
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              Text: 2026 Jun 04
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