MagArray, Inc., Milpitas, CA, United States.
Biochemistry and Molecular Biology, University of Miami, Coral Gables, FL, United States.
J Appl Lab Med. 2023 Jul 5;8(4):763-772. doi: 10.1093/jalm/jfad021.
Lung cancer is the second leading cause of death in the United States. Lung cancer is often diagnosed in its late stage leading to a poor prognosis. Lung nodules are often described as indeterminate from CT scans resulting in lung biopsies that are invasive and may lead to complications. The need for noninvasive methods to assess malignancy risk in lung nodules is great.
The lung nodule risk reclassifier assay consists of 7 protein biomarkers: Carcinoembryonic Antigen (CEA), C-X-C Motif Chemokine Ligand 10 (CXCL10), Epidermal Growth Factor Receptor (EGFR), Neutrophil Activating Protein-2 (NAP2), Pro-surfactant Protein B (ProSB), Receptor for Advanced Glycation Endproducts (RAGE), and Tissue Inhibitor of Metalloproteinase Inhibitor 1 (TIMP1) and 6 clinical factors (subject age, smoking pack years, and sex, and lung nodule size, location, and spiculated appearance). The protein biomarker assays comprise a multiplex immunoassay panel printed on giant magnetoresistance (GMR) sensor chips as components of a printed circuit board (PCB) run on the MagArray MR-813 instrument system. The analytical validation consisted of imprecision, accuracy, linearity, limits of blank, and limits of detection studies for each biomarker. Several reagents, as well as PCBs, were used in these studies. The entire validation study also assessed multiple users.
This laboratory-developed test (LDT), using the MagArray platform, meets the manufacturer's specifications for imprecision, analytical sensitivity, linearity, and recovery. Common biological interferents are known to interfere with the detection of each biomarker.
The lung nodule risk reclassifier assay performed as required to be offered as an LDT in the MagArray CLIA-certified laboratory.
肺癌是美国的第二大死亡原因。肺癌通常在晚期被诊断出来,预后较差。肺部结节在 CT 扫描中常被描述为不确定,导致需要进行肺部活检,这种方法具有侵入性,可能会导致并发症。因此,人们迫切需要一种非侵入性的方法来评估肺部结节的恶性风险。
肺部结节风险再分类测定法由 7 种蛋白质生物标志物和 6 种临床因素组成:癌胚抗原(CEA)、C-X-C 基元趋化因子配体 10(CXCL10)、表皮生长因子受体(EGFR)、中性粒细胞激活蛋白-2(NAP2)、表面活性蛋白 B(ProSB)、晚期糖基化终产物受体(RAGE)和组织金属蛋白酶抑制剂 1(TIMP1)。蛋白质生物标志物检测法由多个免疫测定法组合而成,印在巨磁阻(GMR)传感器芯片上,作为印刷电路板(PCB)的一部分,在 MagArray MR-813 仪器系统上运行。分析验证包括对每个生物标志物的不精密度、准确性、线性、空白限制和检测极限进行研究。在这些研究中使用了多种试剂和 PCB。整个验证研究还评估了多个用户。
该实验室开发的测试(LDT),使用 MagArray 平台,符合制造商对不精密度、分析灵敏度、线性和回收率的规格要求。已知常见的生物干扰因素会干扰每个生物标志物的检测。
肺部结节风险再分类测定法在 MagArray 临床实验室改进修正案(CLIA)认证的实验室中作为 LDT 进行了性能验证。