Towards personalized treatment for pancreatic cancer patients using genomics and transcriptomics - the PEGASUS project

Open Access
Authors
  • M.F. Lansbergen
Supervisors
  • H.W.M. van Laarhoven
  • M.F. Bijlsma
Award date 17-04-2026
ISBN
  • 9789493483385
Number of pages 241
Organisations
  • Faculty of Medicine (AMC-UvA)
Abstract
Pancreatic ductal adenocarcinoma (PDAC), the most prevalent form of pancreatic cancer, still has a dismal prognosis despite of improvements in treatment options. Response and survival rates vary highly between patients, and good predictors for survival are lacking. In general, treatment decisions are solely based on the condition of the patient and not on prognostic or predictive biomarkers. In this thesis, the study question was whether the implementation of molecular diagnostics (i.e., RNA sequencing and whole genome sequencing (WGS)) could provide relevant prognostic and predictive information to patients and treating physicians, helping them to make treatment decisions and answer the following questions: “Will this treatment increase my life expectancy long enough to make worthwhile for me?” and “Are there potential alternative treatment options for me?”.
Document type PhD thesis
Language English
Downloads
Thesis (complete) (Embargo up to 2027-04-17)
Chapter 4: Transcriptome-based classification of resectable pancreatic cancer enhances prognostic modelling accuracy of overall survival following adjuvant treatment (Embargo up to 2027-04-17)
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