Department for BioMedical Research, Urology Research Laboratory, University of Bern, 3008, Bern, Switzerland.
Department of Cellular, Computational and Integrative Biology, University of Trento, 38123, Trento, Italy.
Nat Commun. 2023 Apr 18;14(1):2214. doi: 10.1038/s41467-023-37696-2.
Bladder Cancer (BLCa) inter-patient heterogeneity is the primary cause of treatment failure, suggesting that patients could benefit from a more personalized treatment approach. Patient-derived organoids (PDOs) have been successfully used as a functional model for predicting drug response in different cancers. In our study, we establish PDO cultures from different BLCa stages and grades. PDOs preserve the histological and molecular heterogeneity of the parental tumors, including their multiclonal genetic landscapes, and consistently share key genetic alterations, mirroring tumor evolution in longitudinal sampling. Our drug screening pipeline is implemented using PDOs, testing standard-of-care and FDA-approved compounds for other tumors. Integrative analysis of drug response profiles with matched PDO genomic analysis is used to determine enrichment thresholds for candidate markers of therapy response and resistance. Finally, by assessing the clinical history of longitudinally sampled cases, we can determine whether the disease clonal evolution matched with drug response.
膀胱癌(BLCa)患者间异质性是治疗失败的主要原因,这表明患者可能受益于更个性化的治疗方法。患者来源的类器官(PDO)已成功用作预测不同癌症药物反应的功能模型。在我们的研究中,我们从不同的膀胱癌阶段和分级建立了 PDO 培养物。PDO 保留了亲本肿瘤的组织学和分子异质性,包括其多克隆遗传景观,并一致共享关键的遗传改变,反映了纵向采样中的肿瘤进化。我们使用 PDO 实施药物筛选管道,测试标准护理和美国食品和药物管理局批准的其他肿瘤化合物。通过将药物反应谱与匹配的 PDO 基因组分析进行综合分析,确定候选治疗反应和耐药性标志物的富集阈值。最后,通过评估纵向采样病例的临床病史,我们可以确定疾病克隆进化是否与药物反应相匹配。