Die Weiterentwicklung molekularpathologischer Diagnostik ist relevant für jeden onkologischen
Patienten, für prospektive klinische Studien und für die Generierung von Realwelt-Daten
zur Medikamentenentwicklung. Die Verbesserung einer skalierbaren Molekulardiagnostik
und die Entwicklung adaptiver Diagnostikstrategien ist notwendig, um die enorme Plastizität
einer Krebserkrankung im zeitlichen Verlauf abbilden zu können.
Abstract
Molecular pathological diagnostics plays a central role in personalized oncology and
requires multidisciplinary teamwork. It is just as relevant for the individual patient
who is being treated with an approved therapy method or an individual treatment attempt
as it is for prospective clinical studies that require the identification of specific
therapeutic target structures or complex biomarkers for study inclusion. It is also
of crucial importance for the generation of real-world data, which is becoming increasingly
important for drug development. Future developments will be significantly shaped by
improvements in scalable molecular diagnostics, in which increasingly complex and
multi-layered data sets must be quickly converted into clinically useful information.
One focus will be on the development of adaptive diagnostic strategies in order to
be able to depict the enormous plasticity of a cancer disease over time.
Schlüsselwörter
molekulare Tumordiagnostik, - Bioinformatik - Mutationssignaturen - Methylierungsarrays
- künstliche Intelligenz
Keywords
molecular tumor diagnostics - bioinformatics - mutation signatures - methylation arrays
- artificial intelligence
