PDF(Sci-hub)
Abstract：
Lung cancer is the leading cause of cancer death in women living in the United States, which accounts for approximately the same percentage of cancer deaths in women as breast, ovary, and uterine cancers combined. Targeted blood plasma glycomics represents a promising source of noninvasive diagnostic and prognostic biomarkers for lung cancer. Here, 208 samples from lung cancer patients and 207 age-matched controls enrolled in the Women Epidemiology Lung Cancer (WELCA) study were analyzed by a bottom-up glycan \"node\" analysis approach. Glycan features, quantified as single analytical signals, including 2-linked mannose, α2-6 sialylation, β1-4 branching, β1-6 branching, 4-linked GlcNAc, and antennary fucosylation, exhibited abilities to distinguish cases from controls (ROC AUCs: 0.68-0.92) and predict survival in patients (hazard ratios: 1.99-2.75) at all stages. Notable alterations of glycan features were observed in stages I-II. Diagnostic and prognostic glycan features were mostly independent of smoking status, age, gender, and histological subtypes of lung cancer.
摘要：
肺癌是美国女性癌症死亡的主要原因，占女性癌症死亡人数的比例与乳腺癌大致相同，子房,和子宫癌合并。靶向血浆糖组学代表了肺癌非侵入性诊断和预后生物标志物的有希望的来源。这里,通过自下而上的聚糖“节点”分析方法分析了参加女性流行病学肺癌（WELCA）研究的208例肺癌患者和207例年龄匹配的对照。Glycan特征,量化为单个分析信号，包括2个连接的甘露糖，α2-6唾液酸化，β1-4分支，β1-6分支，4-链接的GlcNAc,和触角岩藻糖基化，在所有阶段均表现出区分病例与对照组的能力（ROCAUC：0.68-0.92）并预测患者的生存率（风险比：1.99-2.75）。在I-II阶段观察到显著的聚糖特征改变。诊断和预后的聚糖特征大多独立于吸烟状况，年龄,性别,和肺癌的组织学亚型。
