The PROFILE study. Targeted screening using germline genetics in men with a family history of prostate cancer

2021 ◽  
Vol 79 ◽  
pp. S1395
Author(s):  
H. Ni Raghallaigh ◽  
M.N. Brook ◽  
E.J. Saunders ◽  
P. Kumar ◽  
S. Hazell ◽  
...  
2021 ◽  
Vol 206 (Supplement 3) ◽  
Author(s):  
Holly Ni Raghallaigh ◽  
Pardeep Kumar ◽  
Aslam Sohaib ◽  
Mark Brook ◽  
Ed Saunders ◽  
...  

2016 ◽  
Vol 21 (6) ◽  
pp. 716-722 ◽  
Author(s):  
Elena Castro ◽  
Christos Mikropoulos ◽  
Elizabeth K. Bancroft ◽  
Tokhir Dadaev ◽  
Chee Goh ◽  
...  

2008 ◽  
Vol 134 (4) ◽  
pp. A-607
Author(s):  
Aimee L. Lucas ◽  
Aliye Z. Bill ◽  
Caroline Hwang ◽  
Elizabeth Verna ◽  
Nicole Goetz ◽  
...  

Author(s):  
Chethan Ramamurthy ◽  
Eric W. Stutz ◽  
Martin Goros ◽  
Jonathan Gelfond ◽  
Teresa L. Johnson-Pais ◽  
...  

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Johanna Tolksdorf ◽  
Michael W. Kattan ◽  
Stephen A. Boorjian ◽  
Stephen J. Freedland ◽  
Karim Saba ◽  
...  

Abstract Background Online clinical risk prediction tools built on data from multiple cohorts are increasingly being utilized for contemporary doctor-patient decision-making and validation. This report outlines a comprehensive data science strategy for building such tools with application to the Prostate Biopsy Collaborative Group prostate cancer risk prediction tool. Methods We created models for high-grade prostate cancer risk using six established risk factors. The data comprised 8492 prostate biopsies collected from ten institutions, 2 in Europe and 8 across North America. We calculated area under the receiver operating characteristic curve (AUC) for discrimination, the Hosmer-Lemeshow test statistic (HLS) for calibration and the clinical net benefit at risk threshold 15%. We implemented several internal cross-validation schemes to assess the influence of modeling method and individual cohort on validation performance. Results High-grade disease prevalence ranged from 18% in Zurich (1863 biopsies) to 39% in UT Health San Antonio (899 biopsies). Visualization revealed outliers in terms of risk factors, including San Juan VA (51% abnormal digital rectal exam), Durham VA (63% African American), and Zurich (2.8% family history). Exclusion of any cohort did not significantly affect the AUC or HLS, nor did the choice of prediction model (pooled, random-effects, meta-analysis). Excluding the lowest-prevalence Zurich cohort from training sets did not statistically significantly change the validation metrics for any of the individual cohorts, except for Sunnybrook, where the effect on the AUC was minimal. Therefore the final multivariable logistic model was built by pooling the data from all cohorts using logistic regression. Higher prostate-specific antigen and age, abnormal digital rectal exam, African ancestry and a family history of prostate cancer increased risk of high-grade prostate cancer, while a history of a prior negative prostate biopsy decreased risk (all p-values < 0.004). Conclusions We have outlined a multi-cohort model-building internal validation strategy for developing globally accessible and scalable risk prediction tools.


1997 ◽  
Vol 15 (4) ◽  
pp. 1478-1480 ◽  
Author(s):  
P A Kupelian ◽  
V A Kupelian ◽  
J S Witte ◽  
R Macklis ◽  
E A Klein

PURPOSE To determine if familial prostate cancer patients have a less favorable prognosis than patients with sporadic prostate cancer after treatment for localized disease with either radiotherapy (RT) or radical prostatectomy (RP). PATIENTS AND METHODS One thousand thirty-eight patients treated with either RT (n = 583) or RP (n = 455) were included in this analysis. These patients were noted as having a positive family history if they confirmed the diagnosis of prostate cancer in a first-degree relative. The outcome of interest was biochemical relapse-free survival (bRFS). We used proportional hazards to analyze the effect of the presence of family history and other potential confounding variables (ie, age, treatment modality, stage, biopsy Gleason sum [GS], and initial prostate-specific antigen [iPSA] levels) on treatment outcome. RESULTS Eleven percent of all patients had a positive family history. The 5-year bRFS rates for patients with negative and positive family histories were 52% and 29%, respectively (P < .001). The potential confounders with bRFS rates were iPSA levels, biopsy GS, and clinical tumor stage; treatment modality and age did not appear to be associated with outcome. After adjusting for potential confounders, family history of prostate cancer remained strongly associated with biochemical failure. CONCLUSION This is the first study to demonstrate that the presence of a family history of prostate cancer correlates with treatment outcome in a large unselected series of patients. Our findings suggest that familial prostate cancer may have a more aggressive course than nonfamilial prostate cancer, and that clinical and/or pathologic parameters may not adequately predict this course.


2014 ◽  
Vol 8 (11-12) ◽  
pp. 783 ◽  
Author(s):  
Richard Walker ◽  
Alyssa Louis ◽  
Alejandro Berlin ◽  
Sheri Horsburgh ◽  
Robert G. Bristow ◽  
...  

Introduction: The prostate-specific antigen (PSA) era and resultant early detection of prostate cancer has presented clinicians with the challenge of distinguishing indolent from aggressive tumours. Mutations in the BRCA1/2 genes have been associated with prostate cancer risk and prognosis. We describe the prostate cancer screening characteristics of BRCA1/2 mutation carriers, who may be classified as genetically-defined high risk, as compared to another high-risk cohort of men with a family history of prostate cancer to evaluate the utility of a targeted screening approach for these men.Methods: We reviewed patient demographics, clinical screening characteristics, pathological features, and treatment outcomes between a group of BRCA1 or BRCA2 mutation carriers and age-matched men with a family history of prostate cancer followed at our institutional Prostate Cancer Prevention Clinic from 1995 to 2012.Results: Screening characteristics were similar between the mutation carriers (n = 53) and the family history group (n = 53). Some cancers would be missed in both groups by using a PSA cut-off of >4 ug/L. While cancer detection was higher in the family history group (21% vs. 15%), the mutation carrier group was more likely to have intermediate- or high-risk disease (88% vs. 36%). BRCA2 mutation carriers were more likely to have aggressive disease, biological recurrence, and distant metastasis.Conclusions: In our cohort, regular screening appears justified for detecting prostate cancer in BRCA1 and BRCA2 carriers and other high-risk populations. Lowering PSA cut-offs and defining monitoring of PSA velocity as part of the screening protocol may be useful. BRCA2 is associated with more aggressive disease, while the outcome for BRCA1 mutation carriers requires further study. Large multinational studies will be important to define screening techniques for this unique high-risk population.


2021 ◽  
Vol 206 (Supplement 3) ◽  
Author(s):  
Deepansh Dalela ◽  
Renee Hanna ◽  
Marcus Jamil ◽  
Akshay Sood ◽  
Jacob Keeley ◽  
...  

2008 ◽  
Vol 123 (5) ◽  
pp. 1154-1159 ◽  
Author(s):  
Jiyoung Ahn ◽  
Roxana Moslehi ◽  
Stephanie J. Weinstein ◽  
Kirk Snyder ◽  
Jarmo Virtamo ◽  
...  

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