Stockholm3 Validation Study in a Multi-Ethnic Cohort

Study Design and Procedures: The research coordinator will explain the information contained within the consent. Additionally, patient's blood will be drawn prior to their biopsy. Prior to the biopsy, blood will be collected in x2 ethylenediaminetetraacetic acid (EDTA) 4 ml tubes after obtaining consent from the subjects. One tube will be immediately centrifuged (10 minutes at 2000G) and plasma decanted to a tube without additives (this typically produces 1.5 ml of plasma). The decanted tube (with plasma) and the remaining EDTA tube (with whole blood) is then frozen and stored at the designated participating institutional site. It will be stored at -20 Celsius until being shipped. The SEPTA specific blood collection is followed by the following collaborators: Uropartners, University of Illinois at Chicago, University of Chicago, Rush Medical Center, Montefiore, University of Texas Health Science Center of San Antonio, Urology Clinics of North Texas, University of Southern California Keck School of Medicine, Los Angeles County Hospital, Stanford University. Additional samples from University Health Network (Toronto), Northwestern Medicine, John H. Stroger, Jr. Hospital of Cook County, and Cook County Health System (Chicago) will be included from biobanked sources which were prospective collected meeting inclusion and exclusion criteria. Patient data will be stored in a REDCap database, hosted on Sweden's secure server. Data will be stored for the duration of the study, and 5 years afterwards for data analysis purposes. Consented patients will be tracked by patient logs by each participating institution. The medical record number will be collected to keep a consistent identifier for data collection by key site personnel. Once all the patient data is recorded the data will be exported from REDCap with the MRN removed. There will be no patient identifiers used at the Karolinska Institute or A3P lab. The following PHI and non-PHI information will be logged of the patient: PHI: Medical record number (MRN) Non-PHI Demographic data * Stockholm3 Identification number * Race * Zip code Clinical data * Total PSA * Age on sampling date \[years\] * Family history of prostate cancer * Use of 5-alpha reductase inhibitors * Earlier biopsy conducted * Prostate volume \[Prostate volume as measure with US\] * Digital rectal exam status \[Benign/normal, Nodule/induration felt, Asymmetry, Not performed\] AND Outcome data - Results from biopsy performed immediately after blood venipuncture, i.e.: Results will be separated into targeted biopsy cores and systematic biopsy cores * Gleason Score 1 * Gleason Score 2 * Gleason Sum * Cancer length (mm) (total and highest grade) * Number of cores * Number of positive cores * Time to perform biopsy after blood draw \[days\] * Results from MRI, i.e. Prostate Imaging Reporting \& Data System (PIRADS) (0, 1, 2, 3, 4, 5) Permitted use: To run the Stockholm3 test defined by Gronberg et al AND Ancestry informative genetic markers Samples will be shipped to the Uppsala based laboratory (A23 Laboratory) in Sweden for analysis. Each patient will have two blood samples (plasma and whole blood) and will be frozen at -20 Celsius. The blood samples will then be tested for quantitative levels of serum protein levels and DNA will be extracted from white blood cells and will be tested for gene and small nucleotide polymorphic (SNPs) germline mutations and variants . Genotyping will be performed using custom genotyping assays. Plasma will be used for protein analysis. Plasma protein analysis will be performed using a custom protein assays including total and free PSA, human glandular kallikrein 2 (hK2), microseminoprotein-beta (MSMB), and Macrophage inhibitory cytokine 1 (MIC-1). PSA will be tested with a commercial assay. Based on the results from the plasma protein analysis, the genetic analysis and clinical data, the Stockholm3 Risk Score will be calculated. The participants' samples will be treated in accordance with the regulations of Sweden at the laboratory based in Uppsala, Sweden. Results of the tests will not be shared with the patient, nor will the results change or impact medical decisions. Expected Risks/Benefits Anticipated Risks: As this is retrospective analysis of deidentified patient information as well as deidentified biospecimens, there are few anticipated risks. A confidentiality breach as well as loss of privacy are possible, however every effort will be made to minimize this risk. Anticipated Benefits: Participants will advance scientific and clinical knowledge. Participants will also receive a small payment for the time and involvement in the study. Data Collection and Management Procedures This study will utilize REDCap (Research Electronic Data Capture), a software toolset and workflow methodology for electronic collection and management of clinical and research data, to collect and store data. The Karolinska Institute Information Technology (KI-IT) Department will be used as a central location for data processing and management. REDCap is hosted by KI-IT in the Biomedicum (Solnavägen 9, Solna, Sweden 17165) Data Analysis Data analysis will be performed by the PI, co-investigators and/or key research personnel. Quality Control and Quality Assurance Key research personnel will be responsible for ensuring all data collected adheres to the protocol. Data and Safety Monitoring This study is minimal risk and all efforts will be made to ensure there are no confidentiality breaches as well as no loss of privacy. Statistical Considerations Power analysis This study is being conducted among several sites and thus pooled analysis will be performed. Based on the framework developed a two-sided alpha of 0.05, 250 men in each ethnicity gives 80% power to detect 10 percentage points differences in sensitivity and/or specificity of the Stockholm3 test across different ethnicities. Pooled data from several sites will allow for comparison between non-Hispanic White, Africa/Black, Asian, and Hispanic White men. Within each ethnicity group of 250 men, the same sample size gives a 90% power for detecting differences in area under curve (AUC) between Stockholm3 and PSA for detection of PC that are at least 10 percentage points (primary aim). Goal accruement is 500 men within each race/ethnicity, interim analysis will be performed when 250 men in each race/ethnicity is enrolled. Data Analysis Descriptive univariate statistics will be used to compare groups. Binary endpoints will be assessed with a logistic regression model. Statistical analysis will involve logistic regression modeling, AUC calculation, calibration analyses and calculation of basic performance characteristics (sensitivity, specificity and predictive values). Regulatory Requirements Informed Consent The participants indicate their consent to participate in the study by signing informed consents for accessing medical records, conducting genetic research and undergoing venipuncture for blood samples. Subject Confidentiality Data used for this study will be stored in REDCaps and all data transferred between institutions will remain deidentified throughout the study. Unanticipated Problems Any unanticipated problems will be immediately reported to the Site-specific ethical review board by designated research personnel.