Published in

Karger Publishers, Neuroendocrinology, 3(105), p. 201-211, 2017

DOI: 10.1159/000472254

Karger Publishers, Neuroendocrinology, 2(90), p. 194-202, 2009

DOI: 10.1159/000225948

Links

Tools

Export citation

Search in Google Scholar

ENETS consensus guidelines for the standards of care in neuroendocrine tumors: Biochemical markers

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Biomarkers have been the mainstay in the diagnosis and follow-up of patients with neuroendocrine tumors (NETs) over the last few decades. In the beginning, secretory products from a variety of subtypes of NETs were regarded as biomarkers to follow during diagnosis and treatment: serotonin for small intestinal (SI) NETs, and gastrin and insulin for pancreatic NETs. However, it became evident that a large number of NETs were so-called nonfunctioning tumors without secreting substances that caused hormone-related symptoms. Therefore, it was necessary to develop so-called “general tumor markers.” The most important ones so far have been chromogranin A and neuron-specific enolase (NSE). Chromogranin A is the most important general biomarker for most NETs with a sensitivity and specificity somewhere between 60 and 90%. NSE has been a relevant biomarker for patients with high-grade tumors, particularly lung and gastrointestinal tract tumors. Serotonin and the breakdown product urinary 5-hydroxyindoleacetic acid (U-5-HIAA) is still an important marker for diagnosing and follow-up of SI NETs. Recently, 5-HIAA in plasma has been analyzed by high-performance liquid chromatography and fluorometric detection and has shown good agreement with U-5-HIAA analysis. In the future, we will see new tests including circulating tumor cells, circulating DNA and mRNA. Recently, a NET test has been developed analyzing gene transcripts in circulating blood. Preliminary data indicate high sensitivity and specificity for NETs. However, its precise role has to be validated in prospective randomized controlled trials which are ongoing right now.