Keratinocyte cancers
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: Participants must have given their written informed consent, and their ages and genders should be evenly distributed between the following decades of life: 18-29 years, 30-39 years, 40-49 years, 50-59 years, 60-69 years, and finally >70 years. Participants must be able to understand the full nature and purpose of the study, including possible risks and adverse effects.
Exclusion criteria
Exclusion criteria: Presence of any evident skin disease at the sampling site.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To ultimately develop a robust DNA methylation–based predictor of skin cancer risk, ultra-low-input methylation profiling using Infinium EPIC arrays will be performed to generate genome-wide methylation profiles from a large cohort of healthy epidermis samples from participants. In addition, the aim is to train a specific DNA methylation clock for tape-lift samples that could detect a potential acceleration of molecular age, which may be associated with an increased risk of developing keratinocyte carcinomas. | — |
Secondary
| Measure | Time frame |
|---|---|
| Image data, skin hydration measurements, and questionnaire data will be analyzed using a combination of advanced analytical methods. In addition, further molecular profiles can be generated from the collected biological material, such as transcriptomic, proteomic, and/or skin microbiome data. For the analysis of image, hydration, and questionnaire data in conjunction with the epigenetic data, both multimodal models and single-input methods will be employed. Furthermore, differential DNA methylation analyses will be conducted between the generated healthy methylomes, precancerous samples, and various types of epidermal carcinomas. | — |
Countries
Germany
Contacts
German Cancer Research Center (DKFZ)