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. Author manuscript; available in PMC: 2018 Sep 1.
Published in final edited form as: Endocrinol Metab Clin North Am. 2017 Jun 12;46(3):669–677. doi: 10.1016/j.ecl.2017.04.004

Biochemical Testing in Neuroendocrine Tumors

Vidya Aluri 1, Joseph S Dillon 2,
PMCID: PMC5777173  NIHMSID: NIHMS884503  PMID: 28760232

Neuroendocrine cells are widely distributed throughout the body. They are characterized by the ability to produce, store and secrete peptides and biogenic amines, in response to neural, chemical and other stimuli. The majority of tumors arising from these cells are found in the intestine (particularly jejuno-ileum), pancreas, and lung. As with tumors arising in other endocrine organs, the neuroendocrine tumors (NET) may be functional (secreting one or more products associated with a clinical syndrome) or non-functional. Non-functional tumors either fail to secrete any known product, or may secrete a product with no known associated clinical outcome. Diagnosis of NET involves analysis of the patients’ clinical features, imaging (including somatostatin receptor-based imaging), biomarkers, and biopsy. Blood or urine concentrations of amines and peptides secreted by NET have proved to be useful biomarkers for the diagnosis and monitoring of these tumors. Although biomarkers may include cellular, biochemical, or molecular alterations that are measurable in biological media such as human tissues, cells or fluid, we will focus here on currently available biochemical testing of blood or urine for gastro-entero-pancreatic (GEP) and lung NET.

Timely diagnosis of NET can be challenging for multiple reasons:

  1. The incidence of these tumors is low, although it does appear to be increasing. Incidence of NET from all sites was 5/100,000 in 2004, increased from 1/100,000 in 1973 [1].

  2. The primary tumor may be very small and is often metastatic at the time of diagnosis. Data from US and European cancer registries suggest that 30–75% of patients have distant metastases at the time of diagnosis [13].

  3. Clinical presentation may vary depending on the site of origin of the primary tumor. Traditionally, NET are described as arising from the foregut (bronchopulmonary, thymus, gastric, proximal duodenum, pancreas), midgut (distal duodenum, jejunum, ileum, ascending colon), or hindgut (distal colon, rectum). Primary tumors arising from these different anatomical zones differ in their tumor secretions (Table 1). For example, tumors originating in the midgut secrete serotonin and are more likely than tumors of other origins to present with carcinoid syndrome. Carcinoid syndrome, when present, may include the following symptoms: flushing (94%), diarrhea (78%), abdominal cramping (50%), valvular heart disease (50%), telangiectasia (25%), wheezing (15%), or edema (19%) [46]. Pulmonary tumors are less likely to secrete serotonin (although they may secrete the serotonin precursor, 5-hydroxytryptophan) and more likely to secrete histamine. While they can present with flushing and wheezing, the full carcinoid syndrome with diarrhea is unusual. Hindgut tumors rarely secrete serotonin or cause carcinoid syndrome.

  4. Clinical presentation may vary between tumors of the same originating site, based on the tumor grade and stage. Some biochemical tests have been suggested as markers of tumor grade or differentiation, e.g., neuron-specific enolase (NSE). While only about 10% of NET present with features of carcinoid syndrome, this number increases with higher tumor bulk (later stage), especially when liver metastatic disease increases.

Table 1.

NET sites of origin, potential associated symptoms, and specific biomarker tests.

Primary Tumor Location Symptom Test

Bronchopulmonary and thymic Local symptoms CgA, Serotonin,
Flushing, wheezing 5HIAA, 5 hydroxytryptophan
Cushing syndrome ACTH, cortisol

Jejuno-ileal Local symptoms Serotonin
Carcinoid syndrome CgA
Pancreastatin
NKA

Colo-rectal Local symptoms CgA
Incidental findings

Pancreatico-Duodenal
  Non Functional Local symptoms / Incidental CgA, (serotonin), PP
  Functional (See Table 2) Specific Syndrome See Table 2

5HIAA: 5-hydroxyindoleacetic acid, CgA: chromogranin A, NKA: neurokinin A, PP: pancreatic polypeptide.

Because of the low incidence, early diagnosis requires highly sensitive and specific biomarkers. It should be noted, however, that although incidence of NET is low, the prevalence is relatively high because of slow tumor progression. The estimated prevalence is 3-fold that of pancreatic cancer and is greater than that of esophageal and gastric cancers combined [1]. Because of relatively slower progression and prolonged follow up period, markers of tumor growth, response to therapy, prognosis, and differentiation state are important.

Over 20 different secretory products of NET have been described (Tables 2 and 3) [7]. Many of these are not assayed in commercial laboratories. Thus, while certain tumor secretions, e.g., chromogranin A (CgA), are widely expressed by NET of different tissues, there are cases of clearly functional tumors with negative biochemical testing for the common tumoral secretions. Thus, due to the heterogeneity of the originating cells and their secretory capacities for amines and peptides, a single biomarker may not allow accurate diagnosis or follow up.

Table 2.

Specific syndromes associated with pancreatico-duodenal NET tumor sites and suggested biochemical testing.

Syndromes Site of
Tumor
Symptoms Diagnosis Marker

Insulinoma Pancreas Hyperinsulinemic Hypoglycemia with non-suppressed insulin in a 72 hour fast Insulin
hypoglycemic Pro-insulin
syndrome C-peptide

Gastrinoma / ZES Duodenum Recurrent peptic ulcers Fasting plasma gastrin >1000 pg/ml; gastric pH <2.5 Gastrin
Pancreas Diarrhea

Glucagonoma Pancreas Glucose intolerance Plasma glucagon levels 500-1000 pg/ml Glucagon
Weight loss
Erythematous rash
Venous thrombosis

VIPoma Pancreas Secretory diarrhea Plasma VIP >200 pg/ml VIP
Pheochromocytoma Hypokalemia
Dehydration

Somatostatinoma Pancreas Diabetes mellitus Elevated plasma somatostatin with histologically confirmed NET Somatostatin
Duodenum Gallstones
Diarrhea
Weight loss
Steatorrhea

Cushing Pancreas Easy bruising Urine 24 hour cortisol, late night salivary cortisol, or 1 mg overnight dexamethasone suppression test Cortisol
Lung/Thymus Facial plethora ACTH
Myopathy CRH
Purple striae
Hypertension
Osteoporosis

Acromegaly Pancreas Acral enlargement Non suppressible GH after glucose ingestion GHRH
Lung Prognathism IGF-1

ZES: Zollinger-Ellison Syndrome, VIP: vasoactive intestinal polypeptide, ACTH: adrenocorticotropic hormone, CRH: corticotrophin releasing hormone, GHRH: Growth hormone-releasing hormone, IGF-1: insulin-like growth factor-1.

Table 3.

Specific blood and urine markers for NET.

Marker Sensitivity Specificity Advantages Disadvantages Comments Reference

CgA 43-100% 10-96% Most widely accepted test as it is secreted by almost all NET particularly metastatic midgut carcinoids and pancreatic tumors Expressed in healthy tissue Granin family of peptides are water soluble acidic glycoproteins expressed in excretory vessels in neurons and endocrine cells [1317]
Elevated in other neoplasia likepancreatic, small bowel, prostate cancer
Levels independent of functional status Elevated in inflammatory conditions, cardiac disorders, renal failure, PPI use Often used to confirm diagnosis, establish baseline, provide insight into tumor burden
Correlates with tumor load and tends to be highest in metastatic cancer Not elevated in 15-40% patients
Not standardized between laboratories

PP 50-80% No data May be useful for early detection of NET of pancreatic origin in context of MEN 1 Increased PP release after meals, exercise and hypoglycemia; decreased by IV glucose and somatostatin Produced by NET of pancreas and colon and thought to play a role in auto-regulation of pancreatic and GI secretion and hepatic glycogen levels [18, 19]
Falsely elevated levels – laxative abuse, age, inflammatory processes of gut, chronic renal disease

Pancreastatin 64% 58-100% Not affected by PPI use Levels elevated in diabetics and hyperparathyroidism Derivative of CgA [2023]
More stable measurement of tumor activity
Possibly greater sensitivity and specificity compared to CgA

NSE 33% Up to 100% Used in diagnosis of small cell lung cancer or neuroblastoma Cannot differentiate between different subtypes of NET NSE is an enolase present in neurons and NE cells and can indicate tumors derived from these cell types [17]
Elevated in poorly differentiated No particular benefit over CgA
NET where CgA might be normal Poor sensitivity – 33% Located in cell cytoplasm and enters circulation after tumor lysis
Possible use as early response marker with mTOR inhibitor therapy Erythrocytes have large amount of NSE and can cause falsely elevated levels

NKA 88% No data Predominantly secreted by midgut NET [24]
Correlates with poor outcomes in midgut tumors
Signals response to somatostatin analogues

24-hour urine 5HIAA 35% Up to 100% Specific marker for carcinoid syndrome and midgut NET Many substances affect urinary 5-HIAA levels including: [25, 26]
-Foods rich in tryptophan – avocado, pineapples, banana etc.
-Drugs - acetaminophen, guaifenesin, caffeine, mesalamine
Falsely low values can occur with concomitant use of ethanol, levodopa, MAO inhibitors, heparin, methyldopa

Whole blood or serum Serotonin 75-80% Up to 100% Specific marker for carcinoid syndrome and midgut NET Levels are somewhat affected by diet and stress. (see 5-HIAA above) Most circulating serotonin is stored in the platelets. The preferred specimens for serotonin analysis are either whole blood (containing all of the platelets) or serum from clotted specimens (since the clotting process releases almost all platelet serotonin). [25, 2729]
Not all NET secrete serotonin
Less cumbersome to obtain than a 24 hour urine 5-HIAA Single level can vary during the day compared to 24 hour urine 5-HIAA

Plasma 5HIAA 89-95% 75-85% Specific marker for carcinoid syndrome and midgut NET Assay not standardized across laboratories [25, 27]
Less cumbersome to obtain than a 24 hour urine 5-HIAA Does not offer a significant advantage over blood serotonin levels

CgA: chromogranin A, PPI: proton pump inhibitors, PP: pancreatic polypeptide, 5HIAA: 5-Hydroxyindoleacetic acid, NSE: neuron-specific enolase; NKA: neurokinin A.

Most of the available biochemical tests do not predict behavior of the tumor or prognosticate survival well. Furthermore, all of the specific biochemical testing used for NET diagnosis and monitoring have specific causes of inaccuracy (Table 3). For different assays, these issues include the effect of diet, fasting state, technique of phlebotomy, and handling of sample. Standardization of the assays in different laboratories is frequently a concern. This is particularly the case with CgA in the US, where there are multiple assays in commercial use. In Europe, this assay has been standardized across countries and is more clinically useful in follow up.

Biomarkers in Neuroendocrine Tumors - Some patients present with well-defined symptoms associated with overproduction of circulating biologically active hormones, peptides and amines (Table 2). This is similar to other functional endocrine tumors, e.g., prolactinoma, where specific symptoms are associated with specific hormonal secretion. In these patients with functional NET, the specific clinical presentation should guide the initial choice of biochemical testing. Besides NET associated with carcinoid syndrome (most frequently midgut in origin), most of the functional NET are pancreatic endocrine tumors, and assessment of the specific hormone or related fragments allows diagnosis. Other NET may not have an identifiable clinical syndrome and may be asymptomatic or cause local symptoms like obstruction or bleeding. For these tumors, screening tests might include CgA, urine or plasma 5-hydroxyindoleacetic acid (5HIAA), or blood or serum serotonin.

Because of the difficulties of choosing an optimal biomarker, along with the interpretation issues of each test, the professional societies have not provided strong recommendations related to minimal biochemical testing. In general, guidelines from expert committees (European and American NET societies and National Comprehensive Cancer Network) suggest consideration of CgA for small intestinal, non-functional pancreatic, pulmonary, high grade GEP-NET, and metastases of unknown origin. A 24 hour urine 5HIAA could be considered for small intestinal and pulmonary NET and for all tumors with carcinoid syndrome. Pancreatic polypeptide is recommended for non-functional pancreatic NET, and NSE can be considered for high-grade tumors. Specific markers to assess functionality in patients with syndromes should be guided by the specific symptoms (e.g., urine or plasma 5HIAA for carcinoid syndrome, insulin for hypoglycemia etc). Our own practice is to test a broad range of markers initially and then follow markers that are positive.

Novel NET biomarkers - Despite the development of multiple biomarkers and imaging studies, diagnosis of NET is often delayed by years and the disease is frequently metastasized at the time of diagnosis. This observation suggests that the existing markers are not sufficiently sensitive for diagnosis. There is also an unmet need for markers that offer greater diagnostic and prognostic value, as well as information about response to therapy. An ideal biomarker would have a low false positive and false negative rate, measure aggressiveness of the tumor, identify treatment response to medical or surgical treatment, measure aggressiveness of remnant disease, detect relapse and serve as prognostic indicator.

While new individual biomarkers continue to be assessed, e.g., connective-tissue growth factor for carcinoid heart disease or Paraneoplastic Ma antigen 2 for small intestinal NET [8], there is an increasing interest in multi-analyte assays, which address the deficiencies of the current mono-analyte or single marker assays. These tests utilize multiple simultaneous measurements of different parameters related to the disease, along with algorithms, which improve sensitivity and specificity. This concept is already used for other conditions, e.g., FibroSure® test for hepatitis C [9] or MammaPrint® for metastatic breast cancer [10]. There have been recent developments in nucleic acid-based technologies, like microRNA profiling, and strategies to collect circulating tumor cells, which may become helpful in future for NET diagnosis and management. At this time, however, the only commercially available multi-analyte NET test, which may be clinically helpful, is the NETest®.

The NETest®, developed by Wren Laboratories, Branford, CT, USA, is a multi-analyte qRT-PCR assay, based on 51 marker genes with an algorithmic analysis, claims a high sensitivity (>95%) and specificity (>95%) in the detection of all GEP-NET tumors. The test offers an assessment of disease status and treatment effectiveness [11, 12]. Early data suggest that the NETest® may be more accurate than single biomarker or mono-analyte tests and is not known to be affected by age, gender, fasting status or use of proton pump inhibitor drugs. The test requires a single laboratory, Wren Laboratories, to offer the specialized analysis. More information is needed on whether the test is positive in non-GEP-NET or cancers with mixed epithelial and NET phenotype, e.g., prostate cancer. Additionally, more prospective verification studies by investigators independent of the manufacturing company are needed. At this time there is no specific recommendation from any professional organization supporting the NETest®.

KEY POINTS.

  • Neuroendocrine tumors secrete chemicals which can be used as circulating biomarkers.

  • Tumors originating from different sites may differ in the tumor markers secreted.

  • All tumor markers have potential for false positive and false negative results.

Footnotes

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The authors have nothing to disclose.

Contributor Information

Vidya Aluri, Division of Endocrinology, University of Iowa, 200 Hawkins Drive, Iowa City, Iowa 52242, vidya-aluri@uiowa.edu.

Joseph S. Dillon, Division of Endocrinology, University of Iowa, 200 Hawkins Drive, Iowa City, Iowa 52242, joseph-dillon@uiowa.edu.

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