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Influence of common comorbid conditions on a 17-gene assay for prediction of adverse pathology in clinically low-risk prostate cancer.

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91Background: Well-validated molecular biomarkers can improve risk stratification in newly diagnosed PCa. It is important to demonstrate that biomarkers are not influenced by common clinical conditions. A 17-gene biopsy-based RT-PCR… Click to show full abstract

91Background: Well-validated molecular biomarkers can improve risk stratification in newly diagnosed PCa. It is important to demonstrate that biomarkers are not influenced by common clinical conditions. A 17-gene biopsy-based RT-PCR assay (Oncotype Genomic Prostate Score, GPS) has been validated as an independent predictor of adverse pathology and biochemical recurrence after surgery. We sought to explore the association between comorbid conditions and GPS. Methods: We examined the association between GPS and obesity (OB), diabetes mellitus (DM), hypertension (HTN), hypercholesterolemia (HC), coronary artery disease (CAD) and Low Testosterone (Low T) in a cohort of surgically treated men with clinically low-risk PCa. All men were seen and treated at Madigan Army Medical Center or Walter Reed National Military Medical Center. Diagnoses were abstracted from the electronic medical record. OB was defined as body mass index (BMI) > 30 kg/m2. Low T was defined as total T < 300 ng/mL. Student’s T test and ANOVA ...

Keywords: risk; adverse pathology; pathology; comorbid conditions; clinically low; conditions gene

Journal Title: Journal of Clinical Oncology
Year Published: 2017

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