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嗜铬粒蛋白 A 在胰腺神经内分泌肿瘤的临床诊断标志物中作用有限。

Limited role of Chromogranin A as clinical biomarker for pancreatic neuroendocrine tumors.

机构信息

Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

出版信息

HPB (Oxford). 2019 May;21(5):612-618. doi: 10.1016/j.hpb.2018.09.016. Epub 2018 Oct 23.

Abstract

BACKGROUND

Serum Chromogranin A (CgA) is widely used as a biomarker for pancreatic neuroendocrine tumors (PanNETs). The aim of this study was to investigate the value of CgA as a diagnostic and prognostic marker for well-differentiated PanNETs.

METHODS

Patients with well-differentiated PanNET and a baseline CgA measurement, between 2011 and 2016 were reviewed. The diagnostic value was determined by comparing CgA values from patients with PanNETs to those with other pancreatic neoplasms and healthy controls. The Kaplan-Meier method was used to investigate the CgA prognostic significance.

RESULTS

Ninety-nine patients met inclusion criteria. As a diagnostic marker, CgA had a sensitivity of 66%, specificity of 95%, and overall accuracy of 71%. The use of PPIs was associated with a higher CgA level (p = 0.015). When excluding patients on PPIs, CgA accuracy in distinguishing PanNETs from other pancreatic neoplasms was 66%, the sensitivity and specificity were 60% and 75% respectively. Elevated CgA (p = 0.004), Ki67% (p < 0.001), tumor grade (p < 0.001) and stage of disease (p = 0.036) were associated with disease-specific survival.

CONCLUSION

CgA has a limited role as a diagnostic biomarker for well-differentiated PanNETs. An elevated CgA level may have prognostic value but its role should be further investigated with respect to other known pathological factors.

摘要

背景

血清嗜铬粒蛋白 A(CgA)被广泛用作胰腺神经内分泌肿瘤(PanNETs)的生物标志物。本研究旨在探讨 CgA 作为一种诊断和预后标志物用于分化良好的 PanNETs 的价值。

方法

回顾了 2011 年至 2016 年间患有分化良好的 PanNET 和基线 CgA 测量值的患者。通过将 PanNETs 患者的 CgA 值与其他胰腺肿瘤和健康对照组进行比较,确定 CgA 的诊断价值。使用 Kaplan-Meier 方法研究 CgA 的预后意义。

结果

99 名患者符合纳入标准。作为一种诊断标志物,CgA 的敏感性为 66%,特异性为 95%,总准确率为 71%。使用质子泵抑制剂(PPIs)与更高的 CgA 水平相关(p=0.015)。当排除使用 PPI 的患者时,CgA 区分 PanNETs 与其他胰腺肿瘤的准确率为 66%,敏感性和特异性分别为 60%和 75%。CgA 升高(p=0.004)、Ki67%(p<0.001)、肿瘤分级(p<0.001)和疾病分期(p=0.036)与疾病特异性生存相关。

结论

CgA 作为分化良好的 PanNETs 的诊断生物标志物作用有限。CgA 水平升高可能具有预后价值,但应进一步研究其与其他已知病理因素的关系。

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