A1 Refereed original research article in a scientific journal
A living biobank of sarcoma patient-derived cell cultures reveals multi-omic and functional insights that capture disease heterogeneity; 
Authors: Gijsels, Stefanie; Fischer, Suzanne; Creytens, David; Dedeyne, Sándor; De Vuyst, Felix; Pinheiro, Cláudio; Cordier, Fleur; Bekaert, Sarah-Lee; Van Roy, Nadine; Durinck, Kaat; Pauwels, Jarne; Gevaert, Kris; Mestdagh, Pieter; Vandesompele, Jo; Rappu, Pekka; Heino, Jyrki; Hendrix, An; van Ramshorst, Gabrielle H.; Sys, Gwen; De Wever, Olivier
Publisher: Wiley
Publication year: 2026
Journal: Clinical and translational medicine
Article number: e70722
Volume: 16
Issue: 7
eISSN: 2001-1326
DOI: https://doi.org/10.1002/ctm2.70722
Publication's open availability at the time of reporting: Open Access
Publication channel's open availability : Open Access publication channel
Web address : https://onlinelibrary.wiley.com/doi/10.1002/ctm2.70722
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/526845033
Self-archived copy's licence: CC BY
Self-archived copy's version: Publisher`s PDF
Additional information: SUPPORTING INFORMATION
Additional supporting information can be found online in the Supporting Information section at the end of this article.
Background: Sarcomas are rare, diverse malignancies with limited therapeutic options and poor clinical outcomes. Preclinical models that preserve tumour biology are urgently needed to advance mechanistic understanding and functional precision oncology. We established and comprehensively characterized 29 early-passage patient-derived sarcoma cell (PDC) cultures from 19 patients, representing 11 sarcoma subtypes. Multi-region and multi-site sampling enabled generation of PDCs from spatially distinct areas of individual tumours and from matched primary, recurrent and metastatic lesions.
Methods: PDCs underwent genomic, transcriptomic and proteomic profiling alongside extracellular vesicle (EV) biomarker evaluation and phenotypic and drug-response assays.
Results: Copy-number variant (CNV) analysis revealed recurrent alterations affecting key regulators of cell cycle control and growth signalling. Bulk RNA-sequencing captured substantial inter- and intra-subtype heterogeneity. Proteomic and EV analyses recapitulated subtype- and site-specific differences. A functional drug screen of 38 clinically relevant and investigational agents identified both shared and divergent therapeutic vulnerabilities in the different PDCs.
Discussion: These results demonstrate that early-passage sarcoma PDCs can be regarded as biologically faithful and experimentally tractable models that capture lineage identity, tumour evolution and functional heterogeneity. Integrated multi-omic and functional profiling reveals therapeutic vulnerabilities not evident from genomic data only, supporting PDCs as valuable platforms for translational sarcoma research.
Keywords:
Biobank, drug screening, functional assays, patient-derived cell cultures, sarcoma
Downloadable publication This is an electronic reprint of the original article. |
Funding information in the publication:
Mass spectrometry analyses for EV proteomics were performed at the Turku Proteomics Facility, supported by Biocenter Finland. This study was supported by the Cancer Research Institute Ghent, Stichting Tegen Kanker (2022147) and Kom op tegen Kanker (A18/OC/0303). David Creytens was financially supported by a senior clinical research fellowship from the Research Foundation Flanders (FWO) (1800725N).