Wren Laboratories, Branford, Connecticut, USA.
Section of Digestive Diseases, Yale University School of Medicine, New Haven, Connecticut, USA.
Neuroendocrinology. 2020;110(3-4):185-197. doi: 10.1159/000500202. Epub 2019 Apr 16.
Identification of circulating tumor markers for clinical management in bronchopulmonary (BP) neuroendocrine tumors/neoplasms (NET/NEN) is of considerable clinical interest. Chromogranin A (CgA), a "universal" NET biomarker, is considered controversial as a circulating biomarker of BPNEN.
Assess utility of CgA in the diagnosis and management of BPNEN in a multicentric study.
CgA diagnostic metrics were assessed in lung NET/NENs (n = 200) and controls (n = 140), randomly assigned to a Training and Test set (100 BPC and 70 controls in each). Assay specificity was evaluated in neoplastic lung disease (n = 137) and nonneoplastic lung disease (n = 77). CgA efficacy in predicting clinical status was evaluated in the combined set of 200 NET/NENs. CgA levels in bronchopulmonary neuroendocrine tumor (BPNET) subtypes (atypical [AC] vs. typical [TC]) and grade was examined. The clinical utility of an alteration of CgA levels (±25%) was evaluated in a subset of 49 BPNET over 12 months. CgA measurement was by NEOLISATM kit (EuroDiagnostica).
Sensitivity and specificity in the training set were 41/98%, respectively. Test set data were 42/87%. Training set area under receiver operator characteristic analysis differentiated BPC from control area under the curve (AUC) 0.61 ± 0.05 p = 0.015. Test set the data were AUC 0.58 ± 0.05, p = 0.076. In the combined set (n = 200), 67% BPNET/NEN (n = 134) had normal CgA levels. CgA levels did not distinguish histological subtypes (TC vs. AC, AUC 0.56 ± 0.04, p = 0.21), grade (p = 0.45-0.72), or progressive from stable disease (AUC 0.53 ± 0.05 p = 0.47). There was no correlation of CgA with Ki-67 index (Pearson r = 0.143, p = 0.14). For nonneoplastic diseases (chronic obstructive pulmonary disorder and idiopathic pulmonary fibrosis), CgA was elevated in 26-37%. For neoplastic disease (NSCLC, squamous cell carcinoma), CgA was elevated in 11-16%. The neuroendocrine SCLC also exhibited elevated CgA (50%). Elevated CgA was not useful for differentiating BPNET/NEN from these other pathologies. Monitoring BPNET/NEN over a 12-month period identified neither CgA levels per se nor changes in CgA were reflective of somatostatin analog treatment outcome/efficacy or the natural history of the disease (progression).
Blood CgA levels are not clinically useful as a biomarker for lung BPNET/NEN. The low specificity and elevations in both nonneoplastic as well as other common neoplastic lung diseases identified limited clinical utility for this biomarker.
在支气管肺(BP)神经内分泌肿瘤/肿瘤(NET/NEN)的临床管理中,鉴定循环肿瘤标志物具有重要的临床意义。嗜铬粒蛋白 A(CgA)作为一种“通用”的 NET 生物标志物,作为 BPNEN 的循环生物标志物存在争议。
在一项多中心研究中评估 CgA 在 BPNEN 的诊断和管理中的效用。
评估了 200 例肺 NET/NEN 患者(n=200)和对照组(n=140)的 CgA 诊断指标,将其随机分配到训练集和测试集中(每组 100 例 BPC 和 70 例对照)。在肿瘤性肺部疾病(n=137)和非肿瘤性肺部疾病(n=77)中评估了 CgA 的检测特异性。在 200 例 NET/NEN 患者的综合组中评估了 CgA 在预测临床状态方面的疗效。检查了支气管肺神经内分泌肿瘤(BPNET)亚型(非典型[AC]与典型[TC])和分级的 CgA 水平。在 49 例 BPNET 患者的亚组中,在 12 个月内评估了 CgA 水平(±25%)的变化的临床效用。CgA 检测采用 NEOLISATM 试剂盒(EuroDiagnostica)进行。
训练集的敏感性和特异性分别为 41/98%。测试集的数据为 42/87%。在训练集中,区分 BPC 和对照的曲线下面积(AUC)为 0.61 ± 0.05,p=0.015。在测试集中,数据为 AUC 0.58 ± 0.05,p=0.076。在 200 例(n=200)综合组中,67%的 BPNET/NEN(n=134)的 CgA 水平正常。CgA 水平不能区分组织学亚型(TC 与 AC,AUC 0.56 ± 0.04,p=0.21)、分级(p=0.45-0.72)或从稳定期进展为进展期(AUC 0.53 ± 0.05,p=0.47)。CgA 与 Ki-67 指数无相关性(Pearson r=0.143,p=0.14)。对于非肿瘤性疾病(慢性阻塞性肺疾病和特发性肺纤维化),CgA 升高至 26-37%。对于肿瘤性疾病(NSCLC、鳞状细胞癌),CgA 升高至 11-16%。神经内分泌 SCLC 也表现出 CgA 升高(50%)。升高的 CgA 对于区分 BPNET/NEN 与这些其他病理情况没有帮助。在 12 个月的监测期间,无论是 CgA 水平本身还是 CgA 的变化,都不能反映生长抑素类似物治疗的结果/疗效或疾病的自然史(进展)。
血液 CgA 水平作为肺 BPNET/NEN 的生物标志物临床应用价值不大。低特异性以及在非肿瘤性和其他常见的肿瘤性肺部疾病中升高,限制了该生物标志物的临床应用。