Suppr超能文献

嗜铬粒蛋白 A、神经元特异性烯醇化酶和 5-羟吲哚乙酸测量在恶性类癌患者中的应用。

Usefulness of chromogranin A, neuron-specific enolase and 5-hydroxyindolacetic acid measurements in patients with malignant carcinoids.

机构信息

University of Padua, School of Medicine, Department of Surgical and Gastroenterological Sciences, Via Giustiniani 2, 35128 Padova, Italy.

出版信息

In Vivo. 2011 Nov-Dec;25(6):1027-9.

Abstract

BACKGROUND

Neuroendocrine tumors (NETs) of the gastro-entero-pancreatic (GEP) system are a heterogeneous group of cancers more common in the small intestine. In patients with malignant NETs, especially carcinoids, a number of prognostic parameters have been considered, such as age, clinical symptoms related to the neoplasm, TNM staging and histological grade, as well as urinary 5-hydroxyindolacetic acid (5-HIAA), chromogranin A (CgA) and neuron-specific enolase (NSE) serum levels.

PATIENTS AND METHODS

The data from a series of 14 patients (median age 56 years, range 33-72 years) with gastric (N=8), ileal (N=1), colorectal (N=4) or appendiceal (N=1) malignant carcinoids were retrospectively reviewed.

RESULTS

The specificity of CgA, NSE, and 5-HIAA was 86%, 86% and 93%, while the sensitivity was 64%, 36%, and 36%, respectively. There was no relationship between survival and or urinary 5-HIAA (R=0.12, p=0.45), CgA (R=0.22, p=0.21) nor serum NSE (R=0.12, p=0.76) levels.

CONCLUSION

The sensitivity of tumor markers is generally low in patients with malignant carcinoids, and both 5-HIAA and CgA levels are independent of survival.

摘要

背景

胃肠胰神经内分泌肿瘤(NETs)是一组异质性癌症,在小肠中更为常见。在恶性 NETs 患者中,特别是类癌,已经考虑了许多预后参数,例如年龄、与肿瘤相关的临床症状、TNM 分期和组织学分级,以及尿 5-羟吲哚乙酸(5-HIAA)、嗜铬粒蛋白 A(CgA)和神经元特异性烯醇化酶(NSE)血清水平。

患者和方法

回顾性分析了 14 例胃(N=8)、回肠(N=1)、结直肠(N=4)或阑尾(N=1)恶性类癌患者的一系列数据(中位年龄 56 岁,范围 33-72 岁)。

结果

CgA、NSE 和 5-HIAA 的特异性分别为 86%、86%和 93%,而敏感性分别为 64%、36%和 36%。生存与尿 5-HIAA(R=0.12,p=0.45)、CgA(R=0.22,p=0.21)或血清 NSE(R=0.12,p=0.76)水平之间均无关系。

结论

恶性类癌患者的肿瘤标志物敏感性一般较低,5-HIAA 和 CgA 水平均与生存无关。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验