Multicenter Optimization and Validation of a 2-Gene mRNA Urine Test for Detection of Clinically Significant Prostate Cancer before Initial Prostate Biopsy

A 2-gene, urine based molecular test that combines mRNA biomarkers with clinical factors can risk stratify patients for clinically significant prostate cancer. To ensure the generalizability of assay results we optimized and validated the clinical model for men with serum prostate specific antigen l...

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Published inThe Journal of urology Vol. 202; no. 2; pp. 256 - 263
Main Authors Haese, Alexander, Trooskens, Geert, Steyaert, Sandra, Hessels, Daphne, Brawer, Michael, Vlaeminck-Guillem, Virginie, Ruffion, Alain, Tilki, Derya, Schalken, Jack, Groskopf, Jack, Van Criekinge, Wim
Format Journal Article
LanguageEnglish
Published 01.08.2019
Online AccessGet full text
ISSN0022-5347
1527-3792
1527-3792
DOI10.1097/JU.0000000000000293

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Abstract A 2-gene, urine based molecular test that combines mRNA biomarkers with clinical factors can risk stratify patients for clinically significant prostate cancer. To ensure the generalizability of assay results we optimized and validated the clinical model for men with serum prostate specific antigen less than 10 ng/ml who were undergoing initial prostate biopsy.PURPOSEA 2-gene, urine based molecular test that combines mRNA biomarkers with clinical factors can risk stratify patients for clinically significant prostate cancer. To ensure the generalizability of assay results we optimized and validated the clinical model for men with serum prostate specific antigen less than 10 ng/ml who were undergoing initial prostate biopsy.Urine samples were collected from 1,955 men from The Netherlands, France and Germany prior to an initial prostate biopsy and study subjects were divided into training and validation cohorts. Urinary HOXC6 and DLX1 mRNA levels were quantified and RNA results were then combined with other risk factors in a clinical model optimized to detect ISUP (International Society of Urological Pathology) Grade Group 2 or greater prostate cancer in men with prostate specific antigen less than 10 ng/ml. Results in the validation cohort were compared with the PCPTRC (Prostate Cancer Prevention Trial Risk Calculator), version 2.0.MATERIALS AND METHODSUrine samples were collected from 1,955 men from The Netherlands, France and Germany prior to an initial prostate biopsy and study subjects were divided into training and validation cohorts. Urinary HOXC6 and DLX1 mRNA levels were quantified and RNA results were then combined with other risk factors in a clinical model optimized to detect ISUP (International Society of Urological Pathology) Grade Group 2 or greater prostate cancer in men with prostate specific antigen less than 10 ng/ml. Results in the validation cohort were compared with the PCPTRC (Prostate Cancer Prevention Trial Risk Calculator), version 2.0.The optimal clinical model included urinary HOXC6 and DLX1 mRNA levels, patient age, digital rectal examination and prostate specific antigen density (serum prostate specific antigen/prostate volume). In the 715 validation cohort subjects with prostate specific antigen less than 10 ng/ml the AUC was 0.82 with 89% sensitivity, 53% specificity and 95% negative predictive value. The PCPTRC AUC was 0.70. The full validation cohort of 916 men including all prostate specific antigen levels yielded an AUC of 0.85 with 93% sensitivity, 47% specificity and 95% negative predictive value. The PCPTRC AUC was 0.76.RESULTSThe optimal clinical model included urinary HOXC6 and DLX1 mRNA levels, patient age, digital rectal examination and prostate specific antigen density (serum prostate specific antigen/prostate volume). In the 715 validation cohort subjects with prostate specific antigen less than 10 ng/ml the AUC was 0.82 with 89% sensitivity, 53% specificity and 95% negative predictive value. The PCPTRC AUC was 0.70. The full validation cohort of 916 men including all prostate specific antigen levels yielded an AUC of 0.85 with 93% sensitivity, 47% specificity and 95% negative predictive value. The PCPTRC AUC was 0.76.The 2-gene based urine assay, which is optimized for biopsy naïve patients with serum prostate specific antigen less than 10 ng/ml, demonstrated high sensitivity and negative predictive value to detect clinically significant prostate cancer. These data support using the test to help guide initial prostate biopsy decisions.CONCLUSIONSThe 2-gene based urine assay, which is optimized for biopsy naïve patients with serum prostate specific antigen less than 10 ng/ml, demonstrated high sensitivity and negative predictive value to detect clinically significant prostate cancer. These data support using the test to help guide initial prostate biopsy decisions.
AbstractList A 2-gene, urine based molecular test that combines mRNA biomarkers with clinical factors can risk stratify patients for clinically significant prostate cancer. To ensure the generalizability of assay results we optimized and validated the clinical model for men with serum prostate specific antigen less than 10 ng/ml who were undergoing initial prostate biopsy.PURPOSEA 2-gene, urine based molecular test that combines mRNA biomarkers with clinical factors can risk stratify patients for clinically significant prostate cancer. To ensure the generalizability of assay results we optimized and validated the clinical model for men with serum prostate specific antigen less than 10 ng/ml who were undergoing initial prostate biopsy.Urine samples were collected from 1,955 men from The Netherlands, France and Germany prior to an initial prostate biopsy and study subjects were divided into training and validation cohorts. Urinary HOXC6 and DLX1 mRNA levels were quantified and RNA results were then combined with other risk factors in a clinical model optimized to detect ISUP (International Society of Urological Pathology) Grade Group 2 or greater prostate cancer in men with prostate specific antigen less than 10 ng/ml. Results in the validation cohort were compared with the PCPTRC (Prostate Cancer Prevention Trial Risk Calculator), version 2.0.MATERIALS AND METHODSUrine samples were collected from 1,955 men from The Netherlands, France and Germany prior to an initial prostate biopsy and study subjects were divided into training and validation cohorts. Urinary HOXC6 and DLX1 mRNA levels were quantified and RNA results were then combined with other risk factors in a clinical model optimized to detect ISUP (International Society of Urological Pathology) Grade Group 2 or greater prostate cancer in men with prostate specific antigen less than 10 ng/ml. Results in the validation cohort were compared with the PCPTRC (Prostate Cancer Prevention Trial Risk Calculator), version 2.0.The optimal clinical model included urinary HOXC6 and DLX1 mRNA levels, patient age, digital rectal examination and prostate specific antigen density (serum prostate specific antigen/prostate volume). In the 715 validation cohort subjects with prostate specific antigen less than 10 ng/ml the AUC was 0.82 with 89% sensitivity, 53% specificity and 95% negative predictive value. The PCPTRC AUC was 0.70. The full validation cohort of 916 men including all prostate specific antigen levels yielded an AUC of 0.85 with 93% sensitivity, 47% specificity and 95% negative predictive value. The PCPTRC AUC was 0.76.RESULTSThe optimal clinical model included urinary HOXC6 and DLX1 mRNA levels, patient age, digital rectal examination and prostate specific antigen density (serum prostate specific antigen/prostate volume). In the 715 validation cohort subjects with prostate specific antigen less than 10 ng/ml the AUC was 0.82 with 89% sensitivity, 53% specificity and 95% negative predictive value. The PCPTRC AUC was 0.70. The full validation cohort of 916 men including all prostate specific antigen levels yielded an AUC of 0.85 with 93% sensitivity, 47% specificity and 95% negative predictive value. The PCPTRC AUC was 0.76.The 2-gene based urine assay, which is optimized for biopsy naïve patients with serum prostate specific antigen less than 10 ng/ml, demonstrated high sensitivity and negative predictive value to detect clinically significant prostate cancer. These data support using the test to help guide initial prostate biopsy decisions.CONCLUSIONSThe 2-gene based urine assay, which is optimized for biopsy naïve patients with serum prostate specific antigen less than 10 ng/ml, demonstrated high sensitivity and negative predictive value to detect clinically significant prostate cancer. These data support using the test to help guide initial prostate biopsy decisions.
Author Vlaeminck-Guillem, Virginie
Van Criekinge, Wim
Tilki, Derya
Brawer, Michael
Ruffion, Alain
Schalken, Jack
Haese, Alexander
Groskopf, Jack
Steyaert, Sandra
Hessels, Daphne
Trooskens, Geert
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  surname: Haese
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  organization: Martini-Klinik Prostate Cancer Center, Hamburg, Germany
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  surname: Trooskens
  fullname: Trooskens, Geert
  organization: MDxHealth, Inc., Irvine, California
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  surname: Steyaert
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  organization: MDxHealth, Inc., Irvine, California
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  surname: Hessels
  fullname: Hessels, Daphne
  organization: MDxHealth, Inc., Irvine, California
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  surname: Brawer
  fullname: Brawer, Michael
  organization: MDxHealth, Inc., Irvine, California
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  givenname: Virginie
  surname: Vlaeminck-Guillem
  fullname: Vlaeminck-Guillem, Virginie
  organization: Medical Unit of Molecular Oncology and Transfer, Department of Biochemistry and Molecular Biology, University Lyon Sud Hospital, Pierre Bénite, Lyon, France, Cancer Research Centre of Lyon, U1052 INSERM, CNRS 5286, Claude Bernard University Lyon 1, Léon Bérard Centre, Lyon, France
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  givenname: Alain
  surname: Ruffion
  fullname: Ruffion, Alain
  organization: Urology Department, University Lyon Sud Hospital, Pierre Bénite, Lyon, France, Cancer Research Centre of Lyon, U1052 INSERM, CNRS 5286, Claude Bernard University Lyon 1, Léon Bérard Centre, Lyon, France
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  givenname: Derya
  surname: Tilki
  fullname: Tilki, Derya
  organization: Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
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  givenname: Jack
  surname: Schalken
  fullname: Schalken, Jack
  organization: Department of Urology, Radboud University Medical Centre, Nijmegen, The Netherlands
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  surname: Groskopf
  fullname: Groskopf, Jack
  organization: MDxHealth, Inc., Irvine, California
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  fullname: Van Criekinge, Wim
  organization: Department of Bioinformatics, Ghent University, Ghent, Belgium
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Title Multicenter Optimization and Validation of a 2-Gene mRNA Urine Test for Detection of Clinically Significant Prostate Cancer before Initial Prostate Biopsy
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