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Diagnostic and Prognostic Performance of Blood Plasma Glycan Features in the Women Epidemiology Lung Cancer (WELCA) Study
journal contribution
posted on 2019-10-17, 15:49 authored by Yueming Hu, Shadi Ferdosi, Erandi P. Kapuruge, Jesús Aguilar Diaz de Leon, Isabelle Stücker, Loredana Radoï, Pascal Guénel, Chad R. BorgesLung 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.