Circulating proteome for pulmonary nodule malignancy

恶性肿瘤 医学 结核(地质) 蛋白质组 肺孤立结节 病理 内科学 计算生物学 生物信息学 生物 古生物学
作者
Elham Khodayari Moez,Matthew T. Warkentin,Yonathan Brhane,Stephen Lam,John K. Field,Geoffrey Liu,Javier J. Zulueta,Karmele Valencia,Miguel Mesa,Andrea Pasquier Nialet,Sukhinder Atkar-Khattra,Michael P.A. Davies,Benjamin Grant,Kiera R. Murison,Luis M. Montuenga,Christopher I. Amos,Hilary A. Robbins,Mattias Johansson,Rayjean J. Hung
出处
期刊:Journal of the National Cancer Institute [Oxford University Press]
卷期号:115 (9): 1060-1070 被引量:21
标识
DOI:10.1093/jnci/djad122
摘要

Abstract Background Although lung cancer screening with low-dose computed tomography is rolling out in many areas of the world, differentiating indeterminate pulmonary nodules remains a major challenge. We conducted one of the first systematic investigations of circulating protein markers to differentiate malignant from benign screen-detected pulmonary nodules. Methods Based on 4 international low-dose computed tomography screening studies, we assayed 1078 protein markers using prediagnostic blood samples from 1253 participants based on a nested case-control design. Protein markers were measured using proximity extension assays, and data were analyzed using multivariable logistic regression, random forest, and penalized regressions. Protein burden scores (PBSs) for overall nodule malignancy and imminent tumors were estimated. Results We identified 36 potentially informative circulating protein markers differentiating malignant from benign nodules, representing a tightly connected biological network. Ten markers were found to be particularly relevant for imminent lung cancer diagnoses within 1 year. Increases in PBSs for overall nodule malignancy and imminent tumors by 1 standard deviation were associated with odds ratios of 2.29 (95% confidence interval: 1.95 to 2.72) and 2.81 (95% confidence interval: 2.27 to 3.54) for nodule malignancy overall and within 1 year of diagnosis, respectively. Both PBSs for overall nodule malignancy and for imminent tumors were substantially higher for those with malignant nodules than for those with benign nodules, even when limited to Lung Computed Tomography Screening Reporting and Data System (LungRADS) category 4 (P < .001). Conclusions Circulating protein markers can help differentiate malignant from benign pulmonary nodules. Validation with an independent computed tomographic screening study will be required before clinical implementation.
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