The CAPRA&PDE4D5/7/9 Prognostic Model Is Significantly Associated with Adverse Post-Surgical Pathology Outcomes

Objectives: To investigate the association of the prognostic risk score CAPRA&PDE4D5/7/9 as measured on pre-surgical diagnostic needle biopsy tissue with pathological outcomes after radical prostatectomies in a clinically low–intermediate-risk patient cohort. Patients and Methods: RNA was extrac...

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Main Authors: Chloe Gulliver, Sebastian Huss, Axel Semjonow, George S. Baillie, Ralf Hoffmann
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/15/1/262
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author Chloe Gulliver
Sebastian Huss
Axel Semjonow
George S. Baillie
Ralf Hoffmann
author_facet Chloe Gulliver
Sebastian Huss
Axel Semjonow
George S. Baillie
Ralf Hoffmann
author_sort Chloe Gulliver
collection DOAJ
description Objectives: To investigate the association of the prognostic risk score CAPRA&PDE4D5/7/9 as measured on pre-surgical diagnostic needle biopsy tissue with pathological outcomes after radical prostatectomies in a clinically low–intermediate-risk patient cohort. Patients and Methods: RNA was extracted from biopsy punches of diagnostic needle biopsies. The patient cohort comprises <i>n</i> = 151 patients; of those <i>n</i> = 84 had low–intermediate clinical risk based on the CAPRA score and DRE clinical stage <cT3. This cohort (<i>n</i> = 84) was investigated for pathology outcomes in this study. RT-qPCR was performed to determine PDE4D5, PDE4D7 and PDE4D9 transcript scores in the cohorts. The CAPRA score was inferred from the relevant clinical data (patient age, PSA, cT, biopsy Gleason, and percentage tumor positive biopsy cores). Logistic regression was used to combine the PDE4D5, PDE4D7 and PDE4D9 scores to build a PDE4D5/7/9_BCR regression model. The CAPRA&PDE4D5/7/9_BCR risk score used was same as previously published. Results: We investigated three post-surgical outcomes in this study: (i) Adverse Pathology (any ISUP pathological Gleason grade >2, or pathological pT stage > pT3a, or tumor penetrated prostate capsular status, or pN1 disease); (ii) any ISUP pathological Gleason >2; (iii) any ISUP pathological Gleason >1. In the <i>n</i> = 84 patients with low to intermediate clinical risk profiles, the clinical-genomics CAPRA&PDE4D5/7/9_BCR risk score was significantly lower in patients with favorable vs. unfavorable outcomes. In univariable logistic regression modeling the genomics PDE4D5/7/9_BCR as well as the clinical-genomics CAPRA&PDE4D5/7/9_BCR combination model were significantly associated with all three post-surgical pathology outcomes (<i>p</i> = 0.02, <i>p</i> = 0.0004, <i>p</i> = 0.04; and <i>p</i> = 0.01, <i>p</i> = 0.0002, <i>p</i> = 0.01, respectively). The clinically used PRIAS criteria for the selection of low-risk candidate patients for active surveillance (AS) were not significantly associated with any of the three tested post-operative pathology outcomes (<i>p</i> = 0.3, <i>p</i> = 0.1, <i>p</i> = 0.1, respectively). In multivariable analysis adjusted for the CAPRA score, the genomics PDE4D5/7/9_BCR risk score remained significant for the outcomes of adverse pathology (<i>p</i> = 0.04) and ISUP pathological Gleason >2 (<i>p</i> = 0.004). The negative predictive value of the CAPRA&PDE4D5/7/9_BCR risk score using the low-risk cut-off (0.1) for the three pathological endpoints was 82.0%, 100%, and 59.1%, respectively for a selected low-risk cohort of <i>n</i> = 22 patients (26.2% of the entire cohort) compared to 72.1%, 94.4%, and 55.6% for <i>n</i> = 18 low-risk patients (21.4% of the total cohort) selected based on the PRIAS inclusion criteria. <b>Conclusion:</b> In this study, we have shown that the previously reported clinical-genomics prostate cancer risk model CAPRA&PDE4D5/7/9_BCR which was developed to predict biological outcomes after surgery of primary prostate cancer is also significantly associated with post-surgical pathology outcomes. The risk score predicts adverse pathology independent of the clinical risk metrics. Compared to clinically used active surveillance inclusion criteria, the clinical-genomics CAPRA&PDE4D5/7/9_BCR risk model selects 22% (<i>n</i> = 8) more low-risk patients with higher negative predictive value to experience unfavorable post-operative pathology outcomes.
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spelling doaj.art-495f3d0502a94b79a27aac25e66f8f362023-11-16T15:03:53ZengMDPI AGCancers2072-66942022-12-0115126210.3390/cancers15010262The CAPRA&PDE4D5/7/9 Prognostic Model Is Significantly Associated with Adverse Post-Surgical Pathology OutcomesChloe Gulliver0Sebastian Huss1Axel Semjonow2George S. Baillie3Ralf Hoffmann4School of Cardiovascular and Metabolic Health, College of Medical, Veterinary and Life Science, University of Glasgow, Glasgow, G12 8QQ, UKGerhard-Domagk-Institute of Pathology, University Hospital Münster, 48149 Münster, GermanyProstate Center, University Hospital Münster, 48149 Münster, GermanySchool of Cardiovascular and Metabolic Health, College of Medical, Veterinary and Life Science, University of Glasgow, Glasgow, G12 8QQ, UKSchool of Cardiovascular and Metabolic Health, College of Medical, Veterinary and Life Science, University of Glasgow, Glasgow, G12 8QQ, UKObjectives: To investigate the association of the prognostic risk score CAPRA&PDE4D5/7/9 as measured on pre-surgical diagnostic needle biopsy tissue with pathological outcomes after radical prostatectomies in a clinically low–intermediate-risk patient cohort. Patients and Methods: RNA was extracted from biopsy punches of diagnostic needle biopsies. The patient cohort comprises <i>n</i> = 151 patients; of those <i>n</i> = 84 had low–intermediate clinical risk based on the CAPRA score and DRE clinical stage <cT3. This cohort (<i>n</i> = 84) was investigated for pathology outcomes in this study. RT-qPCR was performed to determine PDE4D5, PDE4D7 and PDE4D9 transcript scores in the cohorts. The CAPRA score was inferred from the relevant clinical data (patient age, PSA, cT, biopsy Gleason, and percentage tumor positive biopsy cores). Logistic regression was used to combine the PDE4D5, PDE4D7 and PDE4D9 scores to build a PDE4D5/7/9_BCR regression model. The CAPRA&PDE4D5/7/9_BCR risk score used was same as previously published. Results: We investigated three post-surgical outcomes in this study: (i) Adverse Pathology (any ISUP pathological Gleason grade >2, or pathological pT stage > pT3a, or tumor penetrated prostate capsular status, or pN1 disease); (ii) any ISUP pathological Gleason >2; (iii) any ISUP pathological Gleason >1. In the <i>n</i> = 84 patients with low to intermediate clinical risk profiles, the clinical-genomics CAPRA&PDE4D5/7/9_BCR risk score was significantly lower in patients with favorable vs. unfavorable outcomes. In univariable logistic regression modeling the genomics PDE4D5/7/9_BCR as well as the clinical-genomics CAPRA&PDE4D5/7/9_BCR combination model were significantly associated with all three post-surgical pathology outcomes (<i>p</i> = 0.02, <i>p</i> = 0.0004, <i>p</i> = 0.04; and <i>p</i> = 0.01, <i>p</i> = 0.0002, <i>p</i> = 0.01, respectively). The clinically used PRIAS criteria for the selection of low-risk candidate patients for active surveillance (AS) were not significantly associated with any of the three tested post-operative pathology outcomes (<i>p</i> = 0.3, <i>p</i> = 0.1, <i>p</i> = 0.1, respectively). In multivariable analysis adjusted for the CAPRA score, the genomics PDE4D5/7/9_BCR risk score remained significant for the outcomes of adverse pathology (<i>p</i> = 0.04) and ISUP pathological Gleason >2 (<i>p</i> = 0.004). The negative predictive value of the CAPRA&PDE4D5/7/9_BCR risk score using the low-risk cut-off (0.1) for the three pathological endpoints was 82.0%, 100%, and 59.1%, respectively for a selected low-risk cohort of <i>n</i> = 22 patients (26.2% of the entire cohort) compared to 72.1%, 94.4%, and 55.6% for <i>n</i> = 18 low-risk patients (21.4% of the total cohort) selected based on the PRIAS inclusion criteria. <b>Conclusion:</b> In this study, we have shown that the previously reported clinical-genomics prostate cancer risk model CAPRA&PDE4D5/7/9_BCR which was developed to predict biological outcomes after surgery of primary prostate cancer is also significantly associated with post-surgical pathology outcomes. The risk score predicts adverse pathology independent of the clinical risk metrics. Compared to clinically used active surveillance inclusion criteria, the clinical-genomics CAPRA&PDE4D5/7/9_BCR risk model selects 22% (<i>n</i> = 8) more low-risk patients with higher negative predictive value to experience unfavorable post-operative pathology outcomes.https://www.mdpi.com/2072-6694/15/1/262phosphodiesteraseprostate cancerrisk stratificationprognosisactive surveillancemolecular biomarker
spellingShingle Chloe Gulliver
Sebastian Huss
Axel Semjonow
George S. Baillie
Ralf Hoffmann
The CAPRA&PDE4D5/7/9 Prognostic Model Is Significantly Associated with Adverse Post-Surgical Pathology Outcomes
Cancers
phosphodiesterase
prostate cancer
risk stratification
prognosis
active surveillance
molecular biomarker
title The CAPRA&PDE4D5/7/9 Prognostic Model Is Significantly Associated with Adverse Post-Surgical Pathology Outcomes
title_full The CAPRA&PDE4D5/7/9 Prognostic Model Is Significantly Associated with Adverse Post-Surgical Pathology Outcomes
title_fullStr The CAPRA&PDE4D5/7/9 Prognostic Model Is Significantly Associated with Adverse Post-Surgical Pathology Outcomes
title_full_unstemmed The CAPRA&PDE4D5/7/9 Prognostic Model Is Significantly Associated with Adverse Post-Surgical Pathology Outcomes
title_short The CAPRA&PDE4D5/7/9 Prognostic Model Is Significantly Associated with Adverse Post-Surgical Pathology Outcomes
title_sort capra pde4d5 7 9 prognostic model is significantly associated with adverse post surgical pathology outcomes
topic phosphodiesterase
prostate cancer
risk stratification
prognosis
active surveillance
molecular biomarker
url https://www.mdpi.com/2072-6694/15/1/262
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