肺癌筛查中的生物标志物:综述

Hannah N Marmor, J Tyler Zorn, Stephen A Deppen, Pierre P Massion, Eric L Grogan
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引用次数: 0

摘要

虽然作为肺癌筛查工具,低剂量计算机断层扫描(LDCT)已经证明了肺癌相关死亡率的显著降低,但它并非没有缺陷。相关的高假阳性率、无法区分良性和恶性结节、累积辐射暴露以及由此产生的患者焦虑都表明在肺癌筛查中需要辅助检测。目前的研究重点是开发液体生物标志物,以补充成像作为非侵入性肺癌诊断。生物标志物可用于疾病的早期检测和诊断,从而减少进行不必要的放射学检查的次数。生物标志物可以对癌症风险进行分层,进一步丰富筛查人群,增强现有的风险预测。最后,在肺癌筛查中,生物标志物可用于区分良恶性结节。虽然许多生物标志物需要进一步的验证研究,但包括自身抗体和血液蛋白谱在内的一些生物标志物可用于临床应用。本文描述了生物标志物作为肺癌筛查工具的必要性,包括诊断和风险评估。此外,本文将讨论生物标志物使用的目标,描述良好生物标志物的特性,并回顾目前正在研究的几种最有前途的生物标志物,包括自身抗体,补体片段,microRNA,血液蛋白,循环肿瘤DNA和DNA甲基化。最后,我们将描述生物标志物开发领域的未来方向。
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Biomarkers in Lung Cancer Screening: a Narrative Review.

Although when used as a lung cancer screening tool low-dose computed tomography (LDCT) has demonstrated a significant reduction in lung cancer related mortality, it is not without pitfalls. The associated high false positive rate, inability to distinguish between benign and malignant nodules, cumulative radiation exposure, and resulting patient anxiety have all demonstrated the need for adjunctive testing in lung cancer screening. Current research focuses on developing liquid biomarkers to complement imaging as non-invasive lung cancer diagnostics. Biomarkers can be useful for both the early detection and diagnosis of disease, thereby decreasing the number of unnecessary radiologic tests performed. Biomarkers can stratify cancer risk to further enrich the screening population and augment existing risk prediction. Finally, biomarkers can be used to distinguish benign from malignant nodules in lung cancer screening. While many biomarkers require further validation studies, several, including autoantibodies and blood protein profiling, are available for clinical use. This paper describes the need for biomarkers as a lung cancer screening tool, both in terms of diagnosis and risk assessment. Additionally, this paper will discuss the goals of biomarker use, describe properties of a good biomarker, and review several of the most promising biomarkers currently being studied including autoantibodies, complement fragments, microRNA, blood proteins, circulating tumor DNA, and DNA methylation. Finally, we will describe future directions in the field of biomarker development.

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