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Circulating Chromogranin A as Surveillance Biomarker in Patients with Carcinoids – The CASPAR Study
Clinical Cancer Research ( IF 10.0 ) Pub Date : 2024-10-25 , DOI: 10.1158/1078-0432.ccr-24-1875
Qing H. Meng, Thorvardur R. Halfdanarson, Joshua A. Bornhorst, Henning Jann, Shagufta Shaheen, Run Zhang Shi, Andrej Schwabe, Katrin Stade, Daniel M. Halperin

Purpose: Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are relatively indolent but can be more aggressive. The current recommendations for the use of serum CgA for GEP-NET patients are equivocal. This study was designed to validate an automated CgA immunofluorescence assay for monitoring disease progression in GEP-NET patients. Patients and Methods: A prospective, multi-center blinded observational study was designed to validate an automated chromogranin A (CgA) immunofluorescence assay for monitoring disease progression in GEP-NET patients. Tumor progression was evaluated with Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 by CT/MRI. An increase ≥ 50% above the prior CgA concentration to a value > 100 ng/mL in the following CgA concentration was considered positive. Results: 153 GEP-NET patients were enrolled. Using the pre-specified cut-off of CgA change for tumor progression, specificity was 93·4% (95%-CI: 90·4%—95·5%, p < 0·001), sensitivity 34·4% (25·6%—44·3%), positive predictive value 57·9% (45·0—69·8), negative predictive value (NPV) 84·3% (80·5—87·6), and area under the curve 0·73 (0·67—0·79). Conclusions: Changes in serial measurements of serum CgA had a favorable specificity and NPV, making this test a useful adjunct to routine radiographic monitoring.

中文翻译:


循环嗜糖粒蛋白 A 作为类癌患者的监测生物标志物 – CASPAR 研究



目的:胃肠胰神经内分泌肿瘤 (GEP-NETs) 相对惰性,但可能更具侵袭性。目前对 GEP-NET 患者使用血清 CgA 的建议是模棱两可的。本研究旨在验证用于监测 GEP-NET 患者疾病进展的自动化 CgA 免疫荧光测定。患者和方法: 一项前瞻性、多中心盲法观察性研究旨在验证自动嗜铬粒蛋白 A (CgA) 免疫荧光测定法用于监测 GEP-NET 患者的疾病进展。通过 CT/MRI 使用实体瘤反应评估标准 (RECIST) 1.1 评估肿瘤进展。在之前的 CgA 浓度上增加 50% ≥达到 > 100 ng/mL 的值被认为是阳性的。结果: 共纳入 153 例 GEP-NET 患者。使用预先设定的肿瘤进展 CgA 变化临界值,特异性为 93·4% (95%-CI: 90·4%—95·5%,p < 0·001),敏感性 34·4% (25·6%—44·3%),阳性预测值 57·9% (45·0—69·8),阴性预测值 (NPV) 84·3% (80·5—87·6),曲线下面积 0·73 (0·67—0·79)。结论: 血清 CgA 连续测量的变化具有良好的特异性和 NPV,使该测试成为常规影像学监测的有用辅助手段。
更新日期:2024-10-25
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