This project will analyse sensitive human cancer-tissue sequencing data from approximately 90 patients. The data consist of patient-derived tumour tissue sequencing files together with associated pseudonymised sample-level and clinical metadata. The aim is to perform secure computational analysis to identify molecular patterns associated with tumour biology, patient heterogeneity, and clinically relevant cancer subgroups. Because the project involves sensitive personal data, all data storage and computation will be carried out within the NAISS SENS environment. We request access to Bianca for secure computation and Cygnus storage for active project data. The planned analyses include quality control, preprocessing, alignment or transcript/gene quantification, statistical analysis, downstream molecular interpretation, and machine-learning-based modelling. Only aggregated, non-identifiable results will be exported from the secure environment.