代谢组
黑色素瘤
生物标志物
医学
诊断生物标志物
代谢组学
队列
肿瘤科
生物标志物发现
内科学
疾病
曲线下面积
入射(几何)
阶段(地层学)
癌症
生物信息学
蛋白质组学
生物
癌症研究
代谢物
物理
光学
基因
古生物学
生物化学
作者
Yasser Morsy,Barbara Hubeli,Patrick Turko,Marjam J. Barysch,Julia M. Martínez Gómez,Nicola Zamboni,Gerhard Rogler,Reinhard Dummer,Mitchell P. Levesque,Michael Scharl
标识
DOI:10.1016/j.xcrm.2025.102283
摘要
Melanoma is a deadly cancer with increasing incidence and mortality rates, and biomarkers for diagnosis are urgently needed. The impact of the microbiome, genetic factors, and immunologic markers on disease outcomes is described, but a comprehensive serum metabolome profiling is missing. The serum metabolome of patients with melanoma might be valuable to identify potential biomarkers. We present an untargeted metabolomics analysis in an exploratory cohort (87 patients with melanoma), an independent validation cohort (37 additional patients with melanoma featuring late-stage tumors), and 18 healthy control individuals, revealing striking differences. We identify and validate six serum metabolites that can predict the diagnosis of melanoma with an area under the curve (AUC) >0.9544 in advanced-stage melanoma. The AUC of our lead biomarker, muramic acid, is 0.964, 0.908, and 0.9936 in patients with stage I (n = 22), stage II (n = 67), and advanced melanoma (n = 86), respectively. In summary, we identify potentially very powerful diagnostic biomarkers for clinical practice.
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