疾病
队列
医学
肿瘤科
内科学
DNA甲基化
生物信息学
基因
生物
遗传学
基因表达
作者
Victoria Fincke,Mona Steinbügl,Hye-Jung Chun,Karolina Nemes,Marlena Mucha,Maurice Loßner,Franz Dorn,Katharina Gastberger,Sebastian Bühner,Martin Sill,Thomas Kröncke,Reiner Siebert,Patrick Melchior,Rhoikos Furtwängler,Matthias Schlesner,Christian Vokuhl,Christoph Röcken,Pascal Johann,Michael C. Frühwald
标识
DOI:10.1158/1078-0432.ccr-23-3489
摘要
Abstract Purpose: Extracranial malignant rhabdoid tumors (eMRT) are a challenging entity. Despite the use of multimodal treatment approaches, therapy failure occurs in 55-67%. Molecular markers for identification of patients at increased risk for relapse or refractory (R/R) disease are not available. Clinical characteristics may only insufficiently predict the individual course of disease. Experimental Design: Using the EU-RHAB database, we analyzed a cohort of 121 patients with eMRT clinically. For 81 patients, molecular and clinical data was available, which was complemented with publicly available DNA molecular data from 92 further eMRT. We aimed to delineate molecular risk factors by dissecting the DNA methylome of these tumors. Moreover, we establish clinical characteristics and treatment details of R/R disease in a subcohort of 80 patients. Results: Using consensus hierarchical clustering, we identified three distinct subgroups, one of which (eMRT standard risk) was associated with significantly improved survival, irrespective of germline status and/or localization. At the transcriptome level, this subgroup is characterized by an overexpression of genes involved in muscle development. A relevant proportion of patients develop distant relapses or progressions; median time to the event was four months, underlining the need for early identification and risk-stratification of R/R disease. Overall survival was significantly decreased in patients with progressive disease when compared to relapse cases and reaching complete remission during salvage therapy provided a survival benefit. Conclusions: Our analysis of eMRT in this comprehensive cohort provides novel insights into the patterns of relapse and integrates molecular and clinical risk factors to guide clinical decision making.
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