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
