Neuroendocrine tumors (NETs) are rare tumors that appear with secondary symptoms based on the release of vasoactive peptides and hormones into the blood as an answer to a signal from the nervous system. Neuroendocrine neoplasms of the colon are epithelial neoplasms with neuroendocrine differentiation and are classified in step with the foremost recent WHO 2022 classification as well- differentiated neuroendocrine tumors (NETs) and poorly differentiated neuroendocrine carcinoma- mas (NECs. NETs can be divided into serotonin-producing enterochromaffin-cell neuroendocrine tumor and glicentin-PYY-producing L-cell neuroendocrine tumor. Compared to NECs, NETs are often idle lesions occurring as incidental findings, being generally characterized by indolent course and relatively frequent ab- since of specific symptoms, which underscores the significance of establishing a prompt and accurate diagnosis, colonic neuroendocrine tumors generally presenting as a large tumor with local or distant metastasis (generally liver) at the time of diagnosis.

While utmost colon NETs are considered non-aggressive tumors, a few cases may show a more aggressive clinical course. Clinical/pathological characteristics to select cases at high threat of recurrence/metastases are sadly inadequately consolidated. Diagnosis is based on the combination of clinical presentation, biochemical markers, endoscopy, imaging and confirmed by histopathology. Differential diagnostic for NETs can cause various problems: the rare appendiceal tubular and clear cell variants (which may be confused with non-neuroendocrine cancers). This review presents the updates in established diagnostic tests and tests that require further development, investigation, and validation before use [1,7].

Neuroendocrine tumors (NETs) appear from neuroendocrine cells of the diffuse endocrine system. These cells have characteristics of both nerve cells that can receive message from the nervous system and endocrine cells that can synthesize and secrete monoamines, peptides, and hormones). Neuroendocrine cells have no axons or nerve terminals. The electrical signals from the nervous system can be change into hormonal signals leading to production of hormones, pep- tides and amines. They are considered rare slow-growing tumors with distinct histological, bio- logical, and clinical characteristics that have increased in incidence and prevalence within the last few decades. Colon carcinoid tumors (C-NETs) are well differentiated neuroendocrine tumors of the colon, classified as G1 slow grade, G2-intermmediate grade and G3-high grade (WHO classification) [1].

Because NENs often present as small lesions and in variable anatomical localization, the diagnostic of NENs can be challenging. The gold standard remains histopathology, which should contain neuro-endocrine specific markers, such as chromogranin A and also an estimate of the proliferation by Ki-67 which is very important for treatment selection and prognostication. Lately, the measurement of multiple NEN-related transcripts has been introduced, will play a key role, and seems to be superior to serum markers such as chromogranin A. The diagnostic workup of NENs was therefore revolutionized by the introduction of nuclear medical procedures able to detect the presence of somatostatin receptors (SSTRs), which are typically overexpressed in well- differentiated NEN cells. According to studies from recent years, SSTR PET/CT imaging is superior to SSTR scintigraphy or conventional anatomic imaging (US, dCT or MRI) for the assessment and diagnosis of well-differentiated NETs. SSTR PET/CT presents the advantage that it can detect the primary tumor site, it can frequently demonstrate additional lesions not captured by conventional imaging, performing in more accurate evaluation of disease extension. All these characteristics lead to relevant changes in management in about one-third of patients [5,8].

In fact, diagnosis is usually determined either at biopsy of mass or after surgical resection and most patients show advanced stage at diagnosis [1].

The purpose of this review is to present the novel diagnostic modalities of well-differentiated colon NETs that have been raised over the last years.

Because the prevalence of well-differentiated neuroendocrine tumors of colon has in- creased over the last decades, new methods of diagnosis and the improvement of existing ones have been sought, creating new methods of investigation and the imposition of new appropriate and much more effective diagnostic algorithms. Table 2 summarizes current diagnostic tools for colon NETs and fig.2 shows a diagnostic algorithm.

GI tract NETs are usually asymptomatic, they do not manifest specific symptoms initially but only display later symptoms that are related to tumor growth or metastases, with even complete colon obstruction and episodes of diffuse abdominal colicky pain and altered bowel habits (incomplete) an acute episode of ileus (complete). The colonic locations often present with large lesions (more than 2 cm in diameter) with multiple metastases and have poor differentiation (grade 3) and aggressiveness. It manifests as adenocarcinoma, while carcinoid syndrome is extremely rare [7].

Most colonic NETs (70%) are localized in the right colon, particularly in the cecum. Be- cause the right colon has an increased diameter than the left one, the patients present no symptoms until the NET size becomes large, the average size of the NETs being about 5 cm and most having local or distant metastasis at the time of diagnosis. Patients usually have the following symptoms and signs: abdominal pain due to mass effect or tumor-induced desmoplastic reaction, gastrointestinal bleeding, and weight loss. (3)

Chromogranin A concentration

Chromogranins (designated as chromogranin A [CgA], chromogranin B [CgB], and chro- mogranin C [CgC]) are proteins that are stored and released with peptides and amines in a variety of neuroendocrine tissues. High blood concentrations of chromogranins are associated with well- differentiated NETs, including carcinoids, and it has been found that they increase the larger the tumor becomes [2].

Serum CgA has been the general biomarker for well-differentiated NETs for a long time, but its diagnostic accuracy is now under debate, consensus-based guidelines having decreasingly played down their part in clinical care for the following reasons:

• False positive results occur in some circumstances including drugs (they are especially common in patients who are taking proton pump inhibitors), inflammatory bowel disease, heart and renal failure, malignancy [7], uncontrolled hypertension, pregnancy, hypergastrinemia, chronic atrophic gastritis, steroid treatment, or glucocorticoid excess [8].
• Levels of CgA secretion can easily vary daily in healthy subjects and those with NETs, resulting that CgA is a relatively nonspecific marker for NETs [2].
• There is no international standard for CgA assays, multiple CgA tests use different assays, have widely divergent normal thresholds and different degrees of accuracy [2].

Tumor cell type and histologic differentiation can influence the levels of CgA, studies showing that these levels are elevated in patients with NETs of midgut origin [6].

Recent studies show that CgA levels significantly elevated levels are are most likely met only in NENs, with the exception maybe of patients receiving PPIs. Regarding this aspect, patients should interrupt administration of PPIs, if this is possible and safe for the patient and leaving a clearance of at least 3 half-lives, prior to testing [8,28].

In order to combat the fact that there is no recognized international standard for CgA assay and variations in assay types may impact results, it is advisable to perform serial measurements using the same assay and reference laboratories should be preferred [8].

The NETest index is a mRNA genomic biomarker in peripheral blood, comprised of 51 marker genes, which uses PCR technology and multianalyte algorithmic analyses to test for neuroendocrine neoplasms, to differentiate tumors from controls, to differentiate stable disease from progressive disease and to accurately predict the development of NET metastases. The most important advantages of the NETest are:

• it can identify all types of NETs,
• it can detect early-stage nonmetastatic disease, showing the percentage of positivity of the genes involved. The results show a scale from 0% to 100% as an activity index. The cutoff point is 20%. An index between 20% and 40% indicates stable disease, while an index above 40% indicates progressive disease,
• NETest is significantly more accurate than CgA assays in differentiating NETs from con- trols and in detecting disease progression,
• its diagnostic accuracy is high (99%) compared to that of CgA (21%-36%),
• it can diagnose recurrence and may determine prognosis.

All these advantages make the NETest index the most successful multianalyte biomarker as passed to date in the management of NENs [6,7,8,11,12,19,28-34].

Patients with multiple endocrine neoplasia’s such as hyperparathyroidism and/or pituitary tumors, a family history of NENs or associated diseases and features suspicious of a hereditary disease and young patients (above 40 years of age) with gastrinoma should do such testing [4].

Molecular markers analysis is now essential for establishing an accurate diagnosis. Some of these analyses require investigation of somatic (acquired) genetic alterations, gene, or protein expression, or even circulating tumor markers. Entity-defining for well-differentiated NETs is the mutations in MEN1, DAXX and ATRX [6]. It is very important that well- differentiated NETs have intact p53 and demonstrate no Rb loss in immunohistochemistry [6,19].

The molecular pathways driving midgut NETs are not very well understood yet as mentioned in recent studies. However, mutations of chromosome 11q, affecting the tumor suppressor gene succinate dehydrogenase complex subunit D (SDHD) have been associated with midgut NETs, also mutations in cyclin dependent kinase inhibitors (CDKNs) have an association with midgut-derived NETs, with focal deletion peaks at 9p21 (CDKN2A) and 12p13 (CDKN1B). It has been found that the number of alterations were significantly higher in metastases compared to primary tumors, suggesting an accumulation of acquired genetic changes as tumors progressed. Losses in 18q and 11q have been found in primary and metastatic tumors. In metastatic disease were detected losses in 16q and 4 [6,19,23,24].

It is believed that hindgut NETs develop via different molecular pathways compared to midgut NETs. There was a significant correlation between Ki-67 levels and glucose transporter 2 (GLUT2) scores and O₆-methylguanine DNA methyltransferase (MGMT) scores in hindgut NETs [6,19,23,24].

Histological diagnosis is obligatory in all cases and can be carried out on resection samples or core biopsies in advanced disease. European Neuroendocrine Tumor Society (ENETS) recommends histopathological confirmation as the gold standard for the diagnosis of NENs. Histo morphological growth pattern and cytology highlighted on the hematoxylin eosin (HE)-stained tissue can put the diagnosis of NENs. Table 1 shows the WHO 2022 classification system for neuroendocrine neoplasms (NEN) based on the histopathological findings. The neuroendocrine phenotype is proven by the immunohistochemical discovery of the neuroendocrine markers syn- aptophysin and/or chromogranin A (CgA). Because of their low grade of specificity, neuron-specific enolase (NSE) and CD56 markers are not recommended even if they are frequently positive in GEP-NENs [4,8,19,24,27-31].

In routinely processed tissue sections, these neuroendocrine cells can be identified           histochemically by their argentaffin or argyrophil properties or immunohistochemistry staining for ge neric neuroendocrine markers as chromogranins, synaptophysin, neuron-specific enolase (NSE) and PGP9.5 that relate to their neurosecretory granules, cytosol, or vesicles. Specific cell types like serotonin-producing EC cells are best identified by the immunohistochemical localization of their secretory products in their cytoplasm [10].

C-NETs (35% of colonic NENs) arise from Kulchitsky cells or enterochromaffin cells located within the crypts of Lieburkuhn of colon and typically show enterochromaffin (EC)-cell features (insular architecture, serotonin production and CDX2 positivity). Colon NETs are comprised of a bland appearing monotonous population of cells with round nuclei and finely stippled salt-and-pepper chromatin. G1 or G2 NETs are usually immunoreactive for neuroendocrine mark ers (synaptophysin, chromogranin). In a minority of cases EC-cell NETs are immunoreactive for neuroendocrine markers, serotonin, SSTR2A and CDX2 and L-cell NETs are immunoreactive for neuroendocrine markers (synaptophysin>chromogranin) and PYY, glicentin, GLP-1, GLP-2, SSTR2A and PAP. At diagnosis, about 30-40% are metastatic to the liver, nodes, mesentery, and peritoneum. Indeed, C-NETs have one of the lowest median survival rates of all NETs (5-year survival rates according to stage are: 80% for stage I or II; 50% for stage III, 10% for stage IV). C-NETs are usually easily identified in histology [1,3,9].

Table 1: WHO 2022 classification system for neuroendocrine neoplasms (NEN)

Fig 1: Morphology and Ki67 proliferation index of different NEN types of the digestive system.

Immunohistochemistry (IHC) should be performed in addition to the conventional histopathological analysis, to assess the tumor phenotype and Ki-67 (MIB1) which is mandatory to grade the C-NETs from G1 to G3 according to the WHO classification. (Fig.2) In assessing the differentiation of NENs, is critical to evaluate Ki-67 cell proliferation associated nuclear marker. The Ki- 67 index based on assessment of 2000 cells and the number of mitotic figures per 2 mm² should be reported. To determine the Ki-67 proliferation index, at least 500 cells in the regions of highest labelling, known as “hotspots”, are counted. These areas are identified via scanning magnification. When areas with two varying proliferation indices are present in a particular sample, the area with higher proliferation index is selected for grading purposes [4,8,10].

Computed tomography (CT)

Computed tomography represents the basic radiological method for NET imaging because of its large availability, standardized reproducible technique and generally high level of diagnostics. CT has the advantage of being the best modality to assess vascular infiltration and to be very helpful in the pre-operative setting. Unfortunately, CT investigation has some limitations such as:

• small metastatic lymph nodes (1 cm) may be not identified by CT.
• sensitivity for bone metastases is poor ranging from 46% to 80%, with a median value at 61%.
• small peritoneal metastases may be difficult to visualize.

CT scanning has a specificity to detect NETs between 61%–93% and a specificity between 71%–100%. Liver metastases (LMs) are detected at an average rate of 79% (73%–94%). For extra- abdominal soft tissue metastases, the sensitivity is between 60%–100% with an average of 70% and a specificity range between 87%–100%, with an average of 96% [4,8,19].

Magnetic resonance imaging (MRI)

This imaging investigation is advantageous for examination, it has the advantage of no exposure to radiation, higher tissue resolution than CT and is usually preferred in the initial staging, for the preoperative imaging work-up and for assessing bone metastases. MRI may be preferred as the imaging modality of choice or complementary to CT and for patients who are allergic to iodine contrast agents.

Currently, diffusion-weighted imaging (DWI) with MRI (DW-MRI), based on their restricted movement of water in highly cellular tissues such as in tumor’s, is routinely applied due to its advantages:

• It facilitates lesion detection.
• It allows detection of subtle neoplastic tissue changes.
• It is highly sensitive in detecting liver metastases.

The MRI sensitivity to detect NETs has an average of 79% (54%–100%), with almost similar detection rates of 76% (61%–95%). For liver metastases, the sensitivity has an average of 75% (range 70%–80%) with a maximum specificity of 98%. The mean sensitivity of MRI for detection of liver metastases is 91% (range 82%–98%) as compared with CT with a mean sensitivity of 83% (range 75%–98%). Regarding the imaging of the bones and the brain, MRI is also superior to CT and the accuracy of DW-MRI for the detection of primary NETs and metastatic disease is compa rable to PET/CT. MRI is also superior to CT when using the hepatocyte specific contrast media for characterizing liver lesions [4,8].

SSTR scintigraphy (SRS)

This kind of investigation should be carried out only when PET-CT is not available but is considerably less sensitive. SRS must include cross-sectional imaging by single photon emission CT (SPECT) combined with CT (SPECT-CT). The power of PET-CT has a higher detection rate of lymph node, bone, peritoneal lesions, and unknown primary tumors. (4,19,22)

Colonoscopy

Colonoscopy represents a good diagnostic investigation for colonic NETs (method to diagnose small NETs with 86% (range 82%–93%) sensitivity and 92% (range 86%–95% specificity), allowing biopsy using fine needle aspiration for cytology or a cutting needle for histopathological diagnosis and resection of the primary NET, when indicated. Unfortunately, colonoscopy is an invasive procedure associated with adverse effects and misleading biopsies (NETs are sub- epithelial lesions) [4,8,24,26,27,29].

Nuclear medicine

Somatostatin receptor (SSTR) positron emission tomography (PET) in combination with CT (PET-CT)

Somatostatin is a cyclic peptide which has strong regulatory effects in the body, its action being mediated through membrane-bound receptors which are expressed in high volumes in neuroendocrine cells and NENs. sst1-sst5 are five subclasses that have been cloned [5].

SSTR PET/CT has demonstrated several advantages over scintigraphy imaging (higher spatial resolution, more favorable biodistribution at liver/bowel level, semi-quantitative analysis) and is currently recommended by all guidelines [5,15].

Imaging by ⁶⁸Ga/⁶⁴Cu-DOTA-somatostatin analogue (SSA) positron emission tomography (PET) in combination with CT (PET-CT) provides high sensitivity for imaging of most types of NET lesions and should be part of the tumor staging, preoperative imaging, and restaging [4,19,25].

The radiopharmaceuticals used for SSTR PET/CT present a common structure: a positron- emitting isotope (⁶⁸Gallium, ⁶⁸Ga), a chelate (DOTA) and the SSTR ligand (NOC, TOC, TATE) which corresponds to three clinically employed tracers showing variable affinity for the SSTR.

subtypes: [⁶⁸Ga] Ga—DOTA-TOC, [⁶⁸Ga] Ga—DOTA-NOC and [⁶⁸Ga] Ga—DOTA-TATE. ⁶⁸Ga is a positron-emitting radionuclide that can only be applied for diagnostic imaging, its short half- life (68 min) making it unsuitable for therapeutic purposes [5] ⁶⁸Ga -DOTATATE PET/CT con- firms the diagnosis of NET, localizes unknown primary NETs and identifies additional sites of disease that can divide surgical versus nonsurgical patients [7,25] A study from 2022 emphasizes the fact that on the diagnostic side, [⁶⁸Ga]Ga-DOTA peptides PET/CT (SSTR PET/CT) represents the gold standard for imaging well differentiated SSTR-expressing neuroendocrine tumors (NETs) [5,13,14,16].

For diagnostic purposes, DOTATATE was also labelled with ⁶⁴Cu, ⁶⁴Cu-DOTA offering a longer radionuclide half-life (12.7h of ⁶⁴Cu vs 68 min of ⁶⁸Ga), shorter positron range in tissue (mean 0.6 vs 3.5 mm) and lower positron branching ratio (0.17 vs 0.89), resulting in higher TBR (tumor-to-background ratio) at delayed images [5].

[¹⁸F] FDG PET/CT is useful in higher grade NENs (NET G2 with Ki-67 10% and NET G3) for more accurate disease characterization and prognostication. Promising emerging radio- pharmaceuticals include somatostatin analogues labelled with ¹⁸F (to overcome the limits imposed by ⁶⁸Ga) and SSTR antagonists (for both diagnosis and therapy). The ESMO 2020 guidelines rec commends the use of double-tracer ([¹⁸F] FDG +SSTR) PET/CT for all G2-G3 NETs in order to achieve the optimal diagnostic [5,15,16,18,19].

According to the European Association of Nuclear Medicine (EANM) guidelines (last up- dated in 2017), SSTR PET/CT is recommended as the first choice to study patients with foregut and midgut NETs and it is generally considered to be the second choice for hindgut NETs (second to [¹⁸F] FDG) [5].

The sensitivity to detect NET disease by 68Ga-DOTA-SSA-PET-CT ranges between 64%– 100% with an average of 92% and a specificity average of 95% (range 83%–100%). It has a sensitivity to detect bone metastases between 97%–100% and a specificity between 92%–100%. The use of PET with fluoro-deoxy-glucose (FDG) is optional in NENs. FDG has higher glucose metabolism and less SSTR expression than the low-grade NETs and for this reason the tracer of choice for G3 and high G2 NETs is FDG. SSTR imaging plus FDG-PET-CT has been shown to be complementary for lesion detection. A worse prognosis for NETs is given when findings at PET- CT are FDG positive. Submitting all NET G2/G3 patients to PET-CT with FDG and 68Ga- DOTA-SSA (DOTATOC/DOTATATE/DOTANOC) it can obtain the best diagnostic and prognostic information. (4,13-18,21,26,27) Regarding the diagnosis of NETs, several guidelines recommend SSTR PET/CT for [5,30,31].

• Detection of primary occult site in patients with demonstrated neuroendocrine metastasis or with increased specific tumor markers, with negative conventional imaging for primary lesions.
• Staging after the histological diagnosis of NET and prior to planned surgery.
• Localization of a primary tumor (known metastatic disease but an unknown primary)
• Detection of a suggestive NET mass not submitted for endoscopic or percutaneous biopsy.
• Evaluation of patients with biochemical evidence and symptoms of a NET but without histological diagnosis

Radiolabeled peptide 99mTcEDDA/HYNIC-TOC can represent another good alternative for diagnosing NETs in countries and clinics that do not have PET equipment and 68Ga generators, 99Tc being easily maneuvered and radiation for patients being relatively small. The study’s results show a high sensitivity (90.5%), even if lower than 68Ga-DOTA, but with good specificity, ac- curacy, positive and negative predictive values, widely available and cheaper [20].

Table 2: Current diagnostic tools in colon NETs

Fig 2: Diagnostic algorithm
 

Colon NETs are complex tumors which require a vast, accurate and early diagnostic approach to influence prognosis and patients’ treatment. Histopathology is and will probably remain the gold standard diagnostic in the future. CT and MRI are also improving the diagnostic, regarding their advances. The revolution in the field is added by the advances in nuclear medicine, ⁶⁸Ga- DOTA PET/CT giving an unprecedented diagnostic accuracy, unfortunately still being limited by its high-cost and availability. Multianalyte biomarkers, like NETest which is standardized and not influenced by age, gender, or medication, are promising diagnostic tools which also provide accurate information about completeness of surgical resection, the presence of residual disease and predict the therapeutic efficacy.