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Biology subjects

Corona, G.

Publications and source records attributed to Corona, G..

2 recordsLinked to original sources

Longitudinal Prediction of Drug Response in High-Grade Serous Ovarian Cancer Organoid Cultures Aligning with Clinical Responses

High-grade serous ovarian cancer (HGSOC) ranks among the most aggressive gynecological malignancies. Its high mortality stems from frequent recurrence post-primary treatments and development of platinum resistance. Since, traditional drug development via animal models is time-consuming and lacks reproducibility, in precision cancer medicine, primary patient-derived organoids (PDOs) offer a solution by replicating disease pathophysiology and expediting drug screening. We developed an expandable HGSOC organoid platform for rapid drug screening and resistance testing. Our study aimed to validate the stability of seven PDO pairs in predicting drug responses over time. Organoids underwent low- and high-passage drug screenings over nine months, involving 21 conventional and FDA-approved drugs and proteomic analyses. Comparison of in vitro outcomes with clinical data confirmed the platforms predictive capacity. Notably, a PDO with BRCA1 mutation exhibited resistance to Carboplatin and PARP inhibitors, highlighting organoid models clinical relevance for novel targeted therapies such as the Peptidylprolyl Cis/Trans Isomerase, NIMA-Interacting 1 (Pin1), a valuable target for HGSOC patients.

cancer biology↗

Multi-tissue integrative analysis of personal epigenomes

Understanding how genetic variants impact molecular phenotypes is a key goal of functional genomics, currently hindered by reliance on a single haploid reference genome. Here, we present the EN-TEx resource of personal epigenomes, for [~]25 tissues and >10 assays in four donors (>1500 open-access functional genomic and proteomic datasets, in total). Each dataset is mapped to a matched, diploid personal genome, which has long-read phasing and structural variants. The mappings enable us to identify >1 million loci with allele-specific behavior. These loci exhibit coordinated epigenetic activity along haplotypes and less conservation than matched, non-allele-specific loci, in a fashion broadly paralleling tissue-specificity. Surprisingly, they can be accurately modelled just based on local nucleotide-sequence context. Combining EN-TEx with existing genome annotations reveals strong associations between allele-specific and GWAS loci and enables models for transferring known eQTLs to difficult-to-profile tissues. Overall, EN-TEx provides rich data and generalizable models for more accurate personal functional genomics.

genomics↗