PO.TB01.01 · 肿瘤生物学
癌症中循环血管组的评估:44重血管生成生物标志物panel的转化评估
Evaluation of the circulating angiome in cancer: Translational assessment of a 44-plex angiogenesis biomarker panel
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
血管生成即从现有血管系统形成新血管,是肿瘤进展的一个标志,可促进恶性生长、侵袭和转移。肿瘤相关血管生成导致形成渗漏的、灌注不良的血管和局部缺氧,从而促进代谢应激、免疫逃逸和治疗耐药。通过靶向VEGF、Ang-2和PDGF通路实现血管正常化可恢复灌注、增强免疫浸润并改善疗效。尽管抗血管生成药物已被广泛使用,但尚无预测性生物标志物可识别可能获益的个体。此前,抗血管生成治疗的生物标志物开发聚焦于少数血管因子,未能捕捉血管生成信号的复杂性。为解决这一问题,我们开发了一个44标志物血管生成panel,能够对肿瘤学和血管生物学相关的促血管生成和抗血管生成介质进行高通量分析。通过文献整理确定了44个涵盖已确立的促血管生成和抗血管生成介质的生物标志物(例如VEGF-A、Ang-2、Tie-2、IL-6)。针对每项检测的抗体对均针对基于电化学发光检测的MESO SCALE DISCOVERY(MSD)U-PLEX®平台进行了优化。检测了来自Duke University的双离心贫血小板EDTA血浆样本,以确定通用稀释液。分析表征包括LLOD/LLOQ、精密度、加标回收率以及稀释线性/平行性测定。使用来自28名参与者(27-79岁)纵向采集的血浆评估组内相关系数(ICC)和生物学变异,纳入了两个月内昼夜(上午和下午)采血。使用来自两项NCI研究的回顾性血浆样本探索了药效学生物标志物调节——Cabozantinib + Panitumumab(NCT02008383)和Bevacizumab(NCT00416637)。所有检测均满足预设标准,>90%的检测实现了<15% CV的批内/批间精密度。单一稀释液支持多重兼容性。动态范围跨越3-5个数量级,对低丰度和高丰度标志物的分析灵敏度范围为0.06 pg/mL(IL-6)至67.4 pg/mL(vWF),显示了亚pg/mL水平的检测能力。ICC分析显示panel中的可变标志物在两个月内具有良好至优异的稳定性。对两组NCI研究样本的回顾性分析显示:(a)基线标志物与结局(OS、PFS)之间以及(b)药效学反应与预期治疗诱导变化之间存在关联,凸显了该生物标志物panel的价值。这一44重panel在MSD® U-PLEX平台上展示了稳健的分析性能、灵敏度和重现性。该检测支持协调化的血管生成分析,从而在肿瘤学研究中实现标准化的血管生成生物标志物评估。
查看英文原文 English abstract
Angiogenesis, the formation of new blood vessels from existing vasculature, is a hallmark of tumor progression, enabling malignant growth, invasion, and metastasis. Tumor-associated angiogenesis leads to the formation of leaky, poorly perfused vessels and localized hypoxia, fostering metabolic stress, immune evasion, and resistance to therapies. Vascular normalization through targeting of VEGF, Ang-2, and PDGF pathways can restore perfusion, enhance immune infiltration, and improve response. Although anti-angiogenic agents are widely used, no predictive biomarker identifies individuals that are likely to benefit. Previously, biomarker development for anti-angiogenic therapies focused on few vascular factors and did not capture the complexity of angiogenic signaling. To address this, we developed a 44-marker angiogenesis panel enabling high-throughput profiling of pro- and anti-angiogenic mediators relevant to oncology and vascular biology. Forty-four biomarkers encompassing established pro- and anti-angiogenic mediators (e.g., VEGF-A, Ang-2, Tie-2, IL-6) were literature-curated. Antibody pairs for each assay were optimized for the electrochemiluminescence detection-based MESO SCALE DISCOVERY (MSD) U-PLEX® platform. Double-spun platelet-poor EDTA plasma samples from Duke University was tested to identify a common diluent. Analytical characterization included LLOD/LLOQ, precision, spike recovery, and dilution linearity/parallelism determinations. The interclass correlation coefficient (ICC) and biological variance were evaluated using longitudinally collected plasma from 28 participants (27-79 y.o.), incorporating diurnal (morning and afternoon) draws over two months. Pharmacodynamic biomarker modulation was explored using retrospective plasma samples from two NCI studies -Cabozantinib + Panitumumab (NCT02008383) and Bevacizumab (NCT00416637). All assays met the predefined criteria, with >90% of assays achieving intra-/inter-assay precision of <15% CV. A single diluent supported multiplex compatibility. Dynamic ranges spanned 3-5 orders of magnitude, with analytical sensitivity for low and high abundance markers ranging from 0.06 pg/mL (IL-6) to 67.4 pg/mL (vWF), demonstrating sub-pg/mL detection. ICC analyses revealed good to excellent variable marker stability across the panel over two months. Retrospective analysis of both sets of NCI study samples demonstrated an association between (a) baseline markers and outcomes (OS, PFS) and (b) pharmacodynamic responses and expected treatment-induced changes, highlighting the value of the biomarker panel. This 44-plex panel demonstrates robust analytical performance, sensitivity, and reproducibility on the MSD® U-PLEX platform. The assay supports harmonized angiogenesis profiling, enabling standardized angiogenesis biomarker assessment in oncology research.
利益披露 Disclosure
H. Layman,
Meso Scale Diagnostics, LLC Employment.
M. Abdel-Ghani,
Meso Scale Diagnostics, LLC Employment.
G. Galen,
Meso Scale Diagnostics, LLC Employment.
R. Garcia-Vivas,
Meso Scale Diagnostics, LLC Employment.
J. Slezak,
Meso Scale Diagnostics, LLC Employment.
A. Mathew,
Meso Scale Diagnostics, LLC Employment.
M. Wang,
Meso Scale Diagnostics, LLC Employment.
C. Demos,
Meso Scale Diagnostics, LLC Employment.
P. Oberoi,
Meso Scale Diagnostics, LLC Employment.
J. N. Wohlstadter,
Meso Scale Diagnostics, LLC Employment.