Impact of non‐genetic heterogeneity of BRAF ‐mutant colon cancer organoids on growth kinetics, drug sensitivity and Wnt dynamics

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Authors: Viktoria Zieger, Ellen Woehr, Jasmin Traichel, Tilman Brummer, Roland Zengerle, Sabrina Kartmann, Stefan Zimmermann
Cited by: 0
References: 47

Abstract

Patient-derived organoid (PDO) models are powerful systems for studying tumor biology and drug response. By retaining genetic, histological, and functional characteristics of the original tumor, including intra- and interpatient heterogeneity, they provide powerful tools to investigate therapy resistance. While genomic profiling is well established in organoid-based screening, non-genetic parameters such as organoid size, seeding density, and morphology remain underexplored, despite their potential to influence functional readouts. Here, we systematically examined how these factors affect proliferation, drug sensitivity, and Wnt responses in a murine colorectal cancer organoid model carrying oncogenic Apc, Braf, and Trp53 mutations. Using our automated Pick-Flow-Drop handling platform, we implemented a reproducible plating workflow enabling precise control over organoid selection and screening conditions. We found that higher seeding density and larger organoid size reduced metabolic activity and decreased sensitivity to the MEK inhibitor trametinib. Moreover, distinct morphological subgroups, such as solid and cystic organoids, displayed differential drug responses under growth factor-deprived conditions, correlating with distinct Wnt-3a profiles in the culture supernatant. Solid organoids were more trametinib-sensitive and exhibited higher Wnt-3a levels, suggesting divergent cell compositions and pathway dependencies. Our findings highlight the functional relevance of non-genetic variability in organoid cultures and establish a framework to improve reproducibility and biological insight in PDO-based drug screening.

Fields of Study & Subjects

Cancer Cells and Metastasis Colorectal Cancer Treatments and Studies Wnt/β-catenin signaling in development and cancer

Publication details

Journal / source
International Journal of Cancer
Volume
159
Issue
2
Pages
490–500
Publication date
15 March 2026
Language
EN