Predicting Cancer Risk With Digital and Molecular Markers

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

The goal of this study is to identify new markers to predict the risk of developing cancer, primarily breast cancer. For this purpose, researchers will compare data obtained from cancer patients and healthy individuals. If characteristic differences are identified, e.g. in biomarkers, life style or family history, this may indicate a person's increased risk of developing cancer.

Inclusion Criteria:

1. Biological adult (at least 18 years old) women

2. Written informed consent for study participation and processing of personal data

3. Own smartphone that can run the BayPass mobile application and willingness to use said smartphone for study purposes

   Additional inclusion criterion for case group:

4. 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:

1. 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
2. Acute severe or potentially life-threatening illness, except those specified in inclusion criterion #4