Daniel E Spratt

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University Hospitals Seidman Cancer Center
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Recent Grants

Grant: Open

Quantifying and Personalizing the Clinical Benefit of Metastasis-Directed Therapy in Men with De Novo Oligometastatic Prostate Cancer

Open Date: 2021-09-14

Close Date: 2027-02-28

Grant: Close

Determining the clinical impact of gene expression testing in localized prostate cancer

Open Date: 2019-09-01

Close Date: 2025-08-31

Grant: Close

Case Comprehensive Cancer Center NCTN Lead Academic Participating Site

Open Date: 2019-03-15

Close Date: 2025-02-28

Grant: Close

Genotoxic Stress and Androgen Receptor Signaling: Integration of Dynamic Noninvasive Biomarkers Postradiotherapy in Prostate Cancer

Open Date: 2016-09-30

Close Date: 2020-09-29

Articles (11)

Year:

2023

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2023

Year:

2023

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2023

Background Management of localized or recurrent prostate cancer since the 1990s has been based on risk stratification using clinicopathological variables, including Gleason score, T stage (based on digital rectal exam), and prostate-specific antigen (PSA). In this study a novel prognostic test, the Decipher Prostate Genomic Classifier (GC), was used to stratify risk of prostate cancer progression in a US national database of men with prostate cancer. Methods Records of prostate cancer cases from participating SEER (Surveillance, Epidemiology, and End Results) program registries, diagnosed during the period from 2010 through 2018, were linked to records of testing with the GC prognostic test. Multivariable analysis was used to quantify the association between GC scores or risk groups and use of definitive local therapy after diagnosis in the GC biopsy-tested cohort and postoperative radiotherapy in the GC-tested cohort as well as adverse pathological findings after prostatectomy. Results A total of 572 545 patients were included in the analysis, of whom 8927 patients underwent GC testing. GC biopsy-tested patients were more likely to undergo active active surveillance or watchful waiting than untested patients (odds ratio [OR] =2.21, 95% confidence interval [CI] = 2.04 to 2.38, P < .001). The highest use of active surveillance or watchful waiting was for patients with a low-risk GC classification (41%) compared with those with an intermediate- (27%) or high-risk (11%) GC classification (P < .001). Among National Comprehensive Cancer Network patients with low and favorable-intermediate risk, higher GC risk class was associated with greater use of local therapy (OR = 4.79, 95% CI = 3.51 to 6.55, P < .001). Within this subset of patients who were subsequently treated with prostatectomy, high GC risk was associated with harboring adverse pathological findings (OR = 2.94, 95% CI = 1.38 to 6.27, P = .005). Use of radiation after prostatectomy was statistically significantly associated with higher GC risk groups (OR = 2.69, 95% CI = 1.89 to 3.84). Conclusions There is a strong association between use of the biopsy GC test and likelihood of conservative management. Higher genomic classifier scores are associated with higher rates of adverse pathology at time of surgery and greater use of postoperative radiotherapy. In this study the Decipher Prostate Genomic Classifier (GC) was used to analyze a US national database of men with prostate cancer. Use of the GC was associated with conservative management (ie, active surveillance). Among men who had high-risk GC scores and then had surgery, there was a 3-fold higher chance of having worrisome findings in surgical specimens.

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2023

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2023

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2023

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2023

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2022

Year:

2022

Year:

2022

Collaborators (7)

Scott Morgan

Associate Professor

University of Ottawa

CANADA
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Pirus Ghadjar

-

GERMANY
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Yilun Sun

Assistant Professor

Case Western Reserve University

UNITED STATES
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Pamela Coleman

Associate Professor of Surgery

Howard University

UNITED STATES
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Christopher J.D. Wallis

-

CANADA
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Robert Dess

University of Michigan

UNITED STATES
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Melvin Chua

Associate Professor

Duke-NUS Medical School

SINGAPORE
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