健康受试者血管组生物标志物随时间变化的生物学特性。

IF 3.7 3区 医学 Q2 ONCOLOGY Cancer Epidemiology Biomarkers & Prevention Pub Date : 2024-10-14 DOI:10.1158/1055-9965.EPI-24-0644
Yingmiao Liu, Jiatong Li, Jing Lyu, Lauren E Howard, Alexander B Sibley, Mark D Starr, John C Brady, Christy Arrowood, Elise C Kohn, S Percy Ivy, Herbert I Hurwitz, James L Abbruzzese, Kouros Owzar, Andrew B Nixon
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引用次数: 0

摘要

背景:生物标志物分析是癌症研究不可或缺的一部分。尽管人们在识别和描述癌症患者的生物标志物方面付出了巨大努力,但对健康人群中生物标志物的自然变异却知之甚少。在此,我们进行了一项临床研究,以评估健康参与者体内生物标志物随时间的自然变化:血管组多重阵列是由 25 种循环蛋白生物标记物组成的小组,我们对 28 名健康参与者在 60 天内的 8 个时间点进行了评估。我们利用类内相关系数(ICC)来量化生物标记物的可靠性。在线性混合效应模型的框架下计算了调整后的 ICC 值,并考虑了年龄、性别、体重指数 (BMI)、空腹状态和取样因素:计算了 ICC 值,以确定每个生物标记物的可靠性。HGF是最稳定的标志物(ICC=0.973),而PDGF-BB则是变化最大的标志物(ICC=0.167)。总之,ICC 分析表明,25 个测量的生物标记物中有 22 个显示出良好(≥0.4)到卓越(>0.75)的 ICC 值。三个标记物(PDGF-BB、TGF-1、PDGF-AA)的 ICC 值为 结论:在短时间内测定的 25 种蛋白质生物标记物中,有 22 种标记物的 ICC 值为良好或极佳,为该生物标记物检测提供了更多验证:影响:这一数据进一步支持了血管组生物标志物测定的验证及其作为综合生物标志物在临床试验测试中的应用。
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Characterization of the Biological Variability of the Angiome Biomarkers over Time in Healthy Subjects.

Background: Biomarker analyses are an integral part of cancer research. Despite the intense efforts to identify and characterize biomarkers in cancer patients, little is known regarding the natural variation of biomarkers in healthy populations. Here we conducted a clinical study to evaluate the natural variability of biomarkers over time in healthy participants.

Methods: The angiome multiplex array, a panel of 25 circulating protein biomarkers, was assessed in 28 healthy participants across 8 timepoints over the span of 60 days. We utilized the intraclass correlation coefficient (ICC) to quantify the reliability of the biomarkers. Adjusted ICC values were calculated under the framework of a linear mixed-effects model, taking into consideration age, sex, body mass index (BMI), fasting status, and sampling factors.

Results: ICC was calculated to determine the reliability of each biomarker. HGF was the most stable marker (ICC=0.973), while PDGF-BB was the most variable marker (ICC=0.167). In total, ICC analyses revealed that 22 out of 25 measured biomarkers display good (≥0.4) to excellent (>0.75) ICC values. Three markers (PDGF-BB, TGF-1, PDGF-AA) had ICC values <0.4. Greater age was associated with higher IL-6 (p=0.0114). Higher BMI was associated with higher levels of IL-6 (p=0.0003) and VEGF-R3 (p=0.0045).

Conclusions: Of the 25 protein biomarkers measured over this short time period, 22 markers were found to have good or excellent ICC values, providing additional validation for this biomarker assay.

Impact: This data further supports the validation of the angiome biomarker assay and its application as an integrated biomarker in clinical trial testing.

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来源期刊
Cancer Epidemiology Biomarkers & Prevention
Cancer Epidemiology Biomarkers & Prevention 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.50
自引率
2.60%
发文量
538
审稿时长
1.6 months
期刊介绍: Cancer Epidemiology, Biomarkers & Prevention publishes original peer-reviewed, population-based research on cancer etiology, prevention, surveillance, and survivorship. The following topics are of special interest: descriptive, analytical, and molecular epidemiology; biomarkers including assay development, validation, and application; chemoprevention and other types of prevention research in the context of descriptive and observational studies; the role of behavioral factors in cancer etiology and prevention; survivorship studies; risk factors; implementation science and cancer care delivery; and the science of cancer health disparities. Besides welcoming manuscripts that address individual subjects in any of the relevant disciplines, CEBP editors encourage the submission of manuscripts with a transdisciplinary approach.
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