医学
肝内胆管癌
肿瘤科
内科学
靶向治疗
活检
液体活检
胎儿游离DNA
放射性武器
生物标志物
肿瘤进展
癌症
病理
放射科
生物
怀孕
胎儿
生物化学
产前诊断
遗传学
作者
Alberto González‐Medina,María Vila-Casadesús,Marina Gómez-Rey,Carles Fabregat-Franco,Alexandre Sierra,Tian V. Tian,Florian Castet,Gloria Castillo,Judit Matito,Paola Martínez,Josep M. Miquel,Paolo Nucíforo,Raquel Pérez-López,Teresa Macarulla,Ana Vivancos
标识
DOI:10.1158/1078-0432.ccr-23-3780
摘要
Abstract Purpose: FGFR2 fusions occur in 10%-15% of intrahepatic cholangiocarcinoma (iCCA) patients, potentially benefiting from FGFR inhibitors (FGFRi). We aimed to assess the feasibility of detecting FGFR2 fusions in plasma and explore plasma biomarkers for managing FGFRi treatment. Experimental Design: We conducted a retrospective study on 18 patients with iCCA and known FGFR2 fusions previously identified in tissue samples from prior FGFRi treatment. Both tissue and synchronous plasma samples were analyzed using a custom hybrid capture gene panel with next-generation sequencing (VHIO-iCCA panel) and validated against commercial vendor results. Longitudinal plasma analysis during FGFRi was performed. Subsequently, we explored the correlation between plasma biomarkers, liver enzymes, tumor volume, and clinical outcomes. Results: Sixteen patients (88.9%) were positive for FGFR2 fusion events in plasma. Remarkably, the analysis of plasma suggests that lower levels of circulating tumor DNA (ctDNA) are linked to clinical benefits from targeted therapy and result in improved progression-free survival and (PFS) overall survival (OS). Higher concentrations of cell-free DNA (cfDNA) before FGFRi treatment were linked to worse OS, correlating with impaired liver function, and indicating compromised cfDNA removal by the liver. Additionally, increased ctDNA or the emergence of resistance mutations allowed earlier detection of disease progression compared to standard radiological imaging methods. Conclusions: VHIO-iCCA demonstrated accurate detection of FGFR2 fusions in plasma. The integration of information from various plasma biomarkers holds the potential to predict clinical outcomes and identify treatment failure prior to radiological progression, offering valuable guidance for the clinical management of patients with iCCA.
科研通智能强力驱动
Strongly Powered by AbleSci AI