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 in | The Journal of urology Vol. 202; no. 2; pp. 256 - 263 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
01.08.2019
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Online Access | Get full text |
ISSN | 0022-5347 1527-3792 1527-3792 |
DOI | 10.1097/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. |
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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 |
Author_xml | – sequence: 1 givenname: Alexander surname: Haese fullname: Haese, Alexander organization: Martini-Klinik Prostate Cancer Center, Hamburg, Germany – sequence: 2 givenname: Geert surname: Trooskens fullname: Trooskens, Geert organization: MDxHealth, Inc., Irvine, California – sequence: 3 givenname: Sandra surname: Steyaert fullname: Steyaert, Sandra organization: MDxHealth, Inc., Irvine, California – sequence: 4 givenname: Daphne surname: Hessels fullname: Hessels, Daphne organization: MDxHealth, Inc., Irvine, California – sequence: 5 givenname: Michael surname: Brawer fullname: Brawer, Michael organization: MDxHealth, Inc., Irvine, California – sequence: 6 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 – sequence: 7 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 – sequence: 8 givenname: Derya surname: Tilki fullname: Tilki, Derya organization: Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany – sequence: 9 givenname: Jack surname: Schalken fullname: Schalken, Jack organization: Department of Urology, Radboud University Medical Centre, Nijmegen, The Netherlands – sequence: 10 givenname: Jack surname: Groskopf fullname: Groskopf, Jack organization: MDxHealth, Inc., Irvine, California – sequence: 11 givenname: Wim surname: Van Criekinge 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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