Integration of Multiple Data Levels to Improve Diagnosis, Predict Treatment Response and Suggest Targets to Overcome Therapy Resistance in High-grade Serous Ovarian Cancer

This prospective, observational trial focuses on revealing major mechanisms causing chemoresistance in HGSOG patients and derive personalized treatment regimens for chemotherapy resistant HGSOC patients. The investigators recruit newly diagnosed advanced stage HGSOC patients who are then thoroughly followed during their cancer treatment. Longitudinal sampling includes digitalized H&E stained histology slides mainly collected during routine diagnostics, fresh tumor & ascites samples for next-generation sequencing/proteomics (WGS, RNA-seq, DNA-methylation, ChIP-seq, mass cytometry, etc.) and ex vivo experiments, plasma samples for circulating tumor DNA (ctDNA) analyses. Broad range of clinical parameters such as laboratory and radiologic parameters (e.g., FDG PET/CT), given cancer treatments and their outcomes are collected.

PET Imaging of Tumors in Pancreas, Bile Ducts, Stomach and Ovaries by a Novel Tracer, 68Ga-FAPI-46 = Fibroblast Activation Protein Inhibitor

Cancers of the pancreas, bile ducts, stomach and ovaries are dismal diseases with most patients being diagnosed in advanced stages leading to a bad prognosis. These cancers can be difficult to diagnose and sometimes impossible to differentiate from underlying benign conditions. Establishing the correct diagnosis of primary cancer lesions and possible spread to other organs in time is pivotal for choosing the right therapy. Routinely applied staging procedures are however not always reliable. The main aim in this study is to evaluate the diagnostic accuracy of PET/CT with a novel radiotracer, FAPI, in the primary diagnosis of cancers in the pancreas, stomach and bile ducts as well as in patients with primary and recurrent epithelial ovarian cancer (EOC).