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Prenen, H.

Publications and source records attributed to Prenen, H..

2 recordsLinked to original sources

Comparative characterization of OncoPro and Wnt-Based media reveals distinct phenotypic and pharmacologic states in patient-derived tumor organoids

BackgroundPatient-derived tumor organoids (PDTOs) are strongly influenced by culture medium. We compared OncoPro (OP) Tumoroid Culture medium with conventional Wnt/R-spondin/noggin (Wnt) medium. This recently developed OP medium offers a standardized, serum-free alternative to Wnt-based formulations. MethodsWe compared OP and Wnt media across 36 PDTO lines from various malignancies (colorectal, pancreatic, breast, lung, gastric, gastroesophageal junction, biliary head- and neck and uknown primary), assessing establishment success. Selected PDTO models were subjected to downstream characterization, including morphological assessment and bulk transcriptomic profiling with comparison to public single-cell RNA sequencing reference datasets (n=11), whole-exome sequencing (WES) (n=9), and pharmacological response profiling to a 33-drug panel (n=3). ResultsAdaptation from Wnt medium to OP succeeded in 83.3% (15/18), whereas de novo establishment favored Wnt (33.3% vs 11.1%). Key oncogenic driver alterations were retained across matched organoid cultures, supporting preservation of tumor-relevant genomic features. Transcriptomic profiling confirmed preserved tumor-identity across media, while revealing different epithelial state programs: Wnt upregulated proliferation/stemness-associated genes (e.g. LGR5) and OP enriched adhesion-associated genes and inflammatory/TGF-{beta} programs. In scRNA databases OP signatures preferentially mapped to malignant epithelial compartments in pancreatic cancer, whereas Wnt signatures were linked to non-malignant epithelium. Similarly, in colon cancer OP signature mapped predominantly to the malignant epithelial compartments. Drug (n=33) screening in pancreatic- and colorectal cancer PDTOs (n=3) demonstrated consistent medium-dependent shifts: Wnt-grown PDTOs were globally more sensitive in the screened subset, particularly to MAPK-axis inhibitors and apoptosis-sensitizers, while OP-grown PDTOs exhibited relative resistance. ConclusionsCulture medium composition is a key determinant of PDTO phenotype, transcriptome and drug sensitivity. Wnt medium was associated with drug-sensitive states, whereas OP medium was associated with adhesion- and inflammatory-related programs, relative resistance in the screened subset of 33 drugs and closer alignment with malignant epithelial programs in the analyzed pancreatic / colorectal cancer single-cell atlases.

cancer biology↗

Uncovering the hidden threat: single-organoid analysis reveals clinically relevant treatment-resistant and invasive subclones in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal diseases, characterized by a treatment-resistant and invasive nature. In-line with these inherent aggressive characteristics, only a subset of patients show a clinical response to the standard of care therapies, thereby highlighting the need for a more personalized treatment approach. In this study, we comprehensively unraveled the intra-patient response heterogeneity and intrinsic aggressive nature of PDAC on bulk and single-organoid resolution. We leveraged a fully characterized PDAC organoid panel (N=8) and matched our artificial intelligence-driven, live-cell organoid image analysis with retrospective clinical patient response. In-line with the clinical outcomes, we identified patient-specific sensitivities to the standard of care therapies (gemcitabine-paclitaxel and FOLFIRINOX) using a growth rate-based and normalized drug response metric. Moreover, the single-organoid analysis was able to detect resistant as well as invasive PDAC organoid clones, which was orchestrates on a patient, therapy, drug, concentration and time-specific level. Furthermore, our in vitro organoid analysis indicated a strong correlation with the matched patient progression-free survival (PFS) compared to the current, conventional drug response readouts. This work not only provides valuable insights on the response complexity in PDAC, but it also highlights the potential applications (extendable to other tumor types) and clinical translatability of our approach in drug discovery and the emerging era of personalized medicine.

cancer biology↗