Wegmann Rebekka, Bankel Lorenz, Festl Yasmin, Lau Kate, Lee Sohyon, Arnold Fabian, Cappelletti Valentina, Fehr Aaron, Picotti Paola, Dedes Konstantin J, Franzen Daniel, Lenggenhager Daniela, Bode Peter K, Zoche Martin, Moch Holger, Britschgi Christian, Snijder Berend
Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.
Department of Medical Oncology and Hematology, University Hospital Zurich, Zurich, Switzerland.
Nat Commun. 2024 Oct 2;15(1):8544. doi: 10.1038/s41467-024-52694-8.
Personalized treatment for patients with advanced solid tumors critically depends on the deep characterization of tumor cells from patient biopsies. Here, we comprehensively characterize a pan-cancer cohort of 150 malignant serous effusion (MSE) samples at the cellular, molecular, and functional level. We find that MSE-derived cancer cells retain the genomic and transcriptomic profiles of their corresponding primary tumors, validating their use as a patient-relevant model system for solid tumor biology. Integrative analyses reveal that baseline gene expression patterns relate to global ex vivo drug sensitivity, while high-throughput drug-induced transcriptional changes in MSE samples are indicative of drug mode of action and acquired treatment resistance. A case study exemplifies the added value of multi-modal MSE profiling for patients who lack genetically stratified treatment options. In summary, our study provides a functional multi-omics view on a pan-cancer solid tumor cohort and underlines the feasibility and utility of MSE-based precision oncology.
晚期实体瘤患者的个性化治疗严重依赖于对患者活检肿瘤细胞的深入表征。在此,我们在细胞、分子和功能水平全面表征了一个包含150个恶性浆液性积液(MSE)样本的泛癌队列。我们发现,源自MSE的癌细胞保留了其相应原发性肿瘤的基因组和转录组图谱,证实了它们可作为实体瘤生物学中与患者相关的模型系统。综合分析表明,基线基因表达模式与整体离体药物敏感性相关,而MSE样本中高通量药物诱导的转录变化则表明药物作用模式和获得性治疗耐药性。一个案例研究例证了多模式MSE分析对于缺乏基因分层治疗选择的患者的附加价值。总之,我们的研究提供了对泛癌实体瘤队列的功能性多组学观点,并强调了基于MSE的精准肿瘤学的可行性和实用性。