Predicting Cancer Risk With Digital and Molecular Markers (PräDigt)
Digital and Molecular Detection of Markers for Disease Risk Prediction, Improvement of Diagnostic Detection Accuracy and Implementation for Preventive Measures of Cancer - A Combined Case-control and Cohort Study
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Peter A. Fasching, Prof. Dr. med.
- Phone Number: +49 9131 85 33572
- Email: fk-digionko@uk-erlangen.de
Study Contact Backup
- Name: Hanna Hübner, PD Dr. rer. nat.
- Email: fk-digionko@uk-erlangen.de
Study Locations
-
-
Bavaria
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Please refer to project homepage for details (see link below), Bavaria, Germany
- Recruiting
- DigiOnko Präventionsmobil
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Contact:
- Hanna Hübner, PD Dr. rer. nat. med. habil.
- Phone Number: +49 9131 8533572
- Email: fk-digionko@uk-erlangen.de
-
Principal Investigator:
- Peter A. Fasching, Prof. Dr. med.
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Biological adult (at least 18 years old) women
- Written informed consent for study participation and processing of personal data
Own smartphone that can run the BayPass mobile application and willingness to use said smartphone for study purposes
Additional inclusion criterion for case group:
- Pre-existing or current diagnosis of at least one of the following oncological diseases: breast cancer, lung cancer, colorectal cancer, gynecologic cancer (incl. ovarian cancer, endometrial cancer, cervical cancer, fallopian tube cancer, vaginal cancer and vulvar cancer)
Exclusion Criteria:
- Known infection with HIV (Human Immunodeficiency Virus), HepA (Hepatitis A), HepB (Hepatitis B), HepC (Hepatitis C) or active SARS-CoV2 (Severe acute respiratory syndrome coronavirus type 2) infection
- Acute severe or potentially life-threatening illness, except those specified in inclusion criterion #4
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Non-Randomized
- Interventional Model: Factorial Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Other: Case group (subjects with known pre-existing or current cancer diagnosis)
The case group will consist of subjects with a known pre-existing or current cancer diagnosis, including breast cancer, lung cancer, colorectal cancer or gynecologic cancer
|
All subjects will be asked to provide biomaterial (blood or saliva) for bio marker screening and analysis.
Additional biomaterial (breath, urin, stool) is optional.
All subjects will be asked to use the study-specific mobile application "BayPass" to complete questionnaires and provide results from screening examinations over a course of 12 months.
|
|
Other: Control group (healthy subjects)
The control group will consist of healthy subjects with no history of cancer
|
All subjects will be asked to provide biomaterial (blood or saliva) for bio marker screening and analysis.
Additional biomaterial (breath, urin, stool) is optional.
All subjects will be asked to use the study-specific mobile application "BayPass" to complete questionnaires and provide results from screening examinations over a course of 12 months.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Assessment of breast cancer risk by polygenic risk score in combination with app-based self-reported health behavior in the study population
Time Frame: Baseline
|
Polygenic cancer risk score (PRS) as a numeric value using BOADICEA/CanRisk as absolute 10-year breast cancer risk and as relative risk compared with avarage women at the same age
|
Baseline
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Director: Matthias W. Beckmann, Prof. Dr. med., Head of Department of Obstetrics and Gynecology
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- PräDigt-08/22
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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