Biology subjects

Amo-Addae, V.

Publications and source records attributed to Amo-Addae, V..

3 recordsLinked to original sources

bioRxiv2026

Sensitivity profiling reveals consistent drug responses across preclinical neuroblastoma models

Despite intensive treatment, overall survival for high-risk and relapse neuroblastoma patients remains below 50%. Even though comprehensive molecular profiling enables treatment stratification, druggable alterations have been identified for only a subset of patients. In vitro drug screening offers a complementary approach. Here, we compare the translational potential of three preclinical drug screening methods: ex vivo short-term, in vitro patient-derived organoid and in vivo patient-derived xenograft (PDX) drug testing. In total, 55 screens were performed from 38 neuroblastoma samples and five pediatric non-malignant samples, testing 77-224 drugs per screen. Ex vivo short-term drug screens achieved higher success rates than organoid screens (65% versus 23%) and shorter turnaround times (14 days versus 3-12 months). Matched samples showed consistent drug sensitivities across sample origin (patient versus PDX-derived; mean r = 0.84) and method (ex vivo short-term versus organoids; mean r = 0.87), demonstrating that ex vivo short-term screens recapitulate drug sensitivities found in long-term organoid models. In parallel, as part of the ITCC-P4 consortium, ten compounds were tested in vivo in eight PDX models, with samples matching the ex vivo screens. For seven out of ten clinically available compounds, ex vivo drug responses were comparable with in vivo responses in matched PDX models. These results demonstrate that, while organoids and PDX models remain essential for drug discovery, ex vivo short-term drug screening provides a rapid alternative for functional precision oncology in neuroblastoma.

cell biology↗

bioRxiv2023

Anti-cancer compound screening identifies Aurora Kinase A inhibition as a means to favor CRISPR/Cas9 gene correction over knock-out

CRISPR gene therapy holds the potential to cure a variety of genetic diseases by targeting causative mutations and introducing double stranded DNA breaks, subsequently allowing the host DNA repair mechanisms to introduce mutations. One option to introduce precise gene corrections is via the homology-directed repair (HDR) pathway. HDR can introduce a range of desired mutations dictated by a DNA template which holds a corrected DNA sequence which is written into the targeted gene. The problem in utilizing this pathway is that CRISPR-induced double stranded DNA breaks are repaired more often through the non-homologous end joining (NHEJ) pathway, which does not use a designed template and introduces random DNA damage in the form of insertions and deletions at the cut site. Since HDR activation depends on many interconnected processes in the cell, we aimed to screen a small library of drug compounds in clinical use or clinical development for cancer, to steer the DNA repair process towards preferential HDR activation. We included compounds in our screen based on three relevant mechanisms in CRISPR gene editing: the cell cycle, DNA repair processing and chromosomal packing. We included forty compounds, based on these criteria, screened their toxicity and dosed them in sub-toxic concentrations in cells during genome editing. Of these forty compounds we identified nine potential hits to have an effect on preferential activation of the HDR pathway over NHEJ. Alisertib, rucaparib and belinostat revealed a significant and major effect on gene editing pathway selection in further validation. Alisertib, an Aurora kinase A inhibitor, showed a particularly strong effect towards improving HDR over NHEJ. We subsequently investigated this effect at the genetic level and in a murine hepatoma cell line, which corroborated the initial findings. Alisertib led to an over 4-fold increase in preferential gene correction over gene knock-out, at a dose of 0.3 micromolar. However, the observations that Aurora kinase A inhibitors show considerable cytotoxicity (<50% cell viability) and can induce morphological changes at this concentration pose a limitation for the direct use of these inhibitors as HDR enhancers. However these findings do implicate that the pathways mediated by Aurora kinase A strongly influence HDR outcomes, which warrants further investigation into the downstream pathways driving this effect.

pharmacology and toxicology↗

bioRxiv2023

Multi-dimensional profiling of hepatoblastomas and patient-derived tumor organoids uncovers tumor subpopulations with divergent WNT activation profiles and identifies pan-hepatoblastoma drug sensitivities

Hepatoblastoma, the most prevalent pediatric liver cancer, almost always carries a WNT-activating CTNNB1 mutation, yet exhibits notable molecular heterogeneity. To characterize this heterogeneity and identify novel targeted therapies, we performed comprehensive analysis of hepatoblastomas and tumor-derived organoids using single-cell RNA-seq, spatial transcriptomics, single-cell ATAC-seq and high throughput drug profiling. We identified two distinct tumor epithelial signatures: hepatic fetal-like and WNT-high embryonal-like signatures, displaying divergent WNT signaling patterns. The liver-specific WNT targets were enriched in the fetal-like group, while the embryonal-like group was enriched in canonical WNT target genes. Gene regulatory network analysis revealed enrichment of regulons related to hepatic function such as bile acid, lipid and xenobiotic metabolism in the fetal-like subgroup but not in the embryonal-like subgroup. In addition, the dichotomous expression pattern of the transcription factors HNF4A and LEF1 allowed for a clear distinction between the fetal- and embryonal-like tumors. We also performed high-throughput drug screening using patient-derived tumor organoids and identified sensitivity to multiple inhibitor classes, most notably HDAC inhibitors. Intriguingly, embryonal-like tumor organoids, but not fetal-like tumor organoids, were sensitive to FGFR inhibitor treatments, suggesting a dependency on FGFR signaling. In summary, our data uncover the molecular and drug sensitivity landscapes of hepatoblastoma and pave the way for the development of targeted therapies.

cancer biology↗