Integrating translational research and clinical practice to refine risk stratification in renal cell carcinoma: the value of DNA methylation markers

Research output: ThesisDoctoral ThesisInternal

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Abstract

Renal Cell Carcinoma (RCC) is the most common form of kidney cancer, accounting for over 90% of kidney tumors and 2–3% of the global cancer burden. The most frequent subtype, clear cell RCC (ccRCC). In the last decades, there has been a rising incidence in recent decades due to improved diagnostic techniques. Survival rates have also improved, especially for early-stage diagnoses. RCC is more prevalent in males and linked to risk factors such as smoking and obesity. Patients with non-metastatic ccRCC are often treated with (partial) nephrectomy. However, approximately 30% of these patients develop metastases during follow-up, and ~10% die of disease progression within five years post-surgery. Identifying high-risk patients at diagnosis remains challenging despite existing clinical prognostic models.
This thesis identified DNA methylation markers and developed a prognostic risk model combining these markers with clinical characteristics, showing added value for localized ccRCC patients. Additionally, RCC cases from the Netherlands Cohort Study (NLCS), one of the largest population-based series, were re-evaluated using updated WHO classifications. A systematic review conducted in this thesis identified new prognostic DNA methylation markers requiring further validation and discussed obstacles preventing their clinical implementation.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Maastricht University
Supervisors/Advisors
  • van Engeland, Manon, Supervisor
  • Smits, Kim, Supervisor
  • Samarska, Iryna, Co-Supervisor
Award date12 Dec 2024
Place of PublicationMaastricht
Publisher
Print ISBNs9789464962673
DOIs
Publication statusPublished - 2024

Keywords

  • DNA Methylation biomarkers
  • Renal Cell Carcinoma
  • Risk stratification
  • Biomarkers translation into the clinic

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