胶质母细胞瘤
蛋白质组
蛋白质组学
生物
质量细胞仪
癌变
计算生物学
胶质瘤
转录组
队列
免疫组织化学
生存分析
癌症研究
肿瘤科
病理
生物信息学
医学
癌症
基因
基因表达
内科学
表型
免疫学
遗传学
作者
Marie Duhamel,Lauranne Drelich,Maxence Wisztorski,Soulaimane Aboulouard,Jean-Pascal Gimeno,Nina Ogrinc,Patrick Devos,Tristan Cardon,Michael Weller,Fabienne Escande,Fahed Zaïri,Claude‐Alain Maurage,Émilie Le Rhun,Isabelle Fournier,Michel Salzet
标识
DOI:10.1038/s41467-022-34208-6
摘要
Molecular heterogeneity is a key feature of glioblastoma that impedes patient stratification and leads to large discrepancies in mean patient survival. Here, we analyze a cohort of 96 glioblastoma patients with survival ranging from a few months to over 4 years. 46 tumors are analyzed by mass spectrometry-based spatially-resolved proteomics guided by mass spectrometry imaging. Integration of protein expression and clinical information highlights three molecular groups associated with immune, neurogenesis, and tumorigenesis signatures with high intra-tumoral heterogeneity. Furthermore, a set of proteins originating from reference and alternative ORFs is found to be statistically significant based on patient survival times. Among these proteins, a 5-protein signature is associated with survival. The expression of these 5 proteins is validated by immunofluorescence on an additional cohort of 50 patients. Overall, our work characterizes distinct molecular regions within glioblastoma tissues based on protein expression, which may help guide glioblastoma prognosis and improve current glioblastoma classification.
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