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Biobank

Ovarian Cancer Organoid Biobank (UMC Utrecht)

56 organoid lines from 32 patients, spanning multiple ovarian tumor subtypes.

Listed Apr 24, 2026

  • Preclinical models
  • Genomic
  • Ovarian

Overview

What makes this biobank important

Before this work, ovarian cancer research suffered from a major model problem:

  • traditional immortalized cell lines poorly represented real tumors
  • patient-derived xenografts (PDX) were slow and expensive
  • ovarian cancer is extremely heterogeneous biologically

The Utrecht group demonstrated that patient-derived ovarian cancer organoids (PDOs):

  • could be established reproducibly
  • maintained tumor histology
  • preserved genomic characteristics
  • reflected drug response patterns seen clinically
  • could be expanded long-term
  • could support functional drug screening

Scale and composition of the biobank

The original published platform established:

  • 56 organoid lines
  • from 32 ovarian cancer patients
  • spanning multiple ovarian tumor subtypes.  

Importantly, it included:

  • high-grade serous carcinoma
  • low-grade serous carcinoma
  • endometrioid carcinoma
  • clear-cell carcinoma
  • mucinous carcinoma
  • borderline tumors

This breadth mattered because ovarian cancer is not one disease biologically.

Notes

Access via DAC-DGB-UMCU (DACDBG@umcutrecht.nl). Genetically modifiable, drug screening. Captures heterogeneity.

Publications