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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell Dev. Biol.</journal-id>
<journal-title>Frontiers in Cell and Developmental Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell Dev. Biol.</abbrev-journal-title>
<issn pub-type="epub">2296-634X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1527083</article-id>
<article-id pub-id-type="doi">10.3389/fcell.2025.1527083</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cell and Developmental Biology</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cellular mechanisms of hormone secretion in neuroendocrine tumors: what goes wrong?</article-title>
<alt-title alt-title-type="left-running-head">Streit et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fcell.2025.1527083">10.3389/fcell.2025.1527083</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Streit</surname>
<given-names>Laura</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tanguy</surname>
<given-names>Emeline</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Brunaud</surname>
<given-names>Laurent</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>T&#xf3;th</surname>
<given-names>Petra</given-names>
</name>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Vitale</surname>
<given-names>Nicolas</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Ory</surname>
<given-names>St&#xe9;phane</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gasman</surname>
<given-names>St&#xe9;phane</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Centre National de la Recherche Scientifique</institution>, <institution>Universit&#xe9; de Strasbourg</institution>, <institution>Institut des Neurosciences Cellulaires et Int&#xe9;gratives</institution>, <addr-line>Strasbourg</addr-line>, <country>France</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>D&#xe9;partement de Chirurgie Visc&#xe9;rale, M&#xe9;tabolique et Canc&#xe9;rologique (CVMC)</institution>, <institution>INSERM NGERE-U1256</institution>, <institution>Universit&#xe9; de Lorraine</institution>, <institution>CHRU Nancy</institution>, <institution>H&#xf4;pital Brabois adultes</institution>, <addr-line>Vandoeuvre-l&#xe8;s-Nancy</addr-line>, <country>France</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/186530/overview">Georg Haase</ext-link>, Aix Marseille Universit&#xe9;, France</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2900375/overview">Cedric Asensio</ext-link>, University of Denver, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: St&#xe9;phane Gasman, <email>gasman@unistra.fr</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1527083</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Streit, Tanguy, Brunaud, T&#xf3;th, Vitale, Ory and Gasman.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Streit, Tanguy, Brunaud, T&#xf3;th, Vitale, Ory and Gasman</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Neuroendocrine tumors (NETs) constitute a heterogeneous group of neoplasms arising from hormone-releasing cells. Secretion of hormones stored in vesicles occurs through calcium-regulated exocytosis, a process that needs to be tightly controlled to avoid unbalanced levels of hormones. A critical feature shared by most of the NETs is a dysfunctional secretory pathway mainly leading to hypersecretion, which often induces clinical complications. In this review, we focus on the cellular process of hormone exocytosis and discuss the potential molecular mechanisms leading to deregulated hormone secretion in various NETs. Particular attention is paid to expression level modifications for genes and proteins involved in the exocytic pathway in NETs.</p>
</abstract>
<kwd-group>
<kwd>neuroendocrine tumors</kwd>
<kwd>hormone</kwd>
<kwd>secretion</kwd>
<kwd>vesicular trafficking</kwd>
<kwd>exocytosis</kwd>
<kwd>dysregulated genes and proteins</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Membrane Traffic and Organelle Dynamics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Neuroendocrine tumors (NETs) are derived from neuroendocrine cells that control pleiotropic physiological functions by releasing various hormones and neuropeptides. NETs constitute a highly heterogeneous group of neoplasms in terms of function and morphology, mainly because neuroendocrine cells are spread all over the body as dispersed cells (diffuse neuroendocrine system) or concentrated in organs (<xref ref-type="fig" rid="F1">Figure 1A</xref>). However, one of the most common physiological features of these NET family members is the dysfunction of hormone and neuropeptide secretion, leading to hypersecretion and eventually to clinical symptoms. For example, acromegaly often results from excessive secretion of growth hormone by pituitary adenoma (<xref ref-type="bibr" rid="B25">Dineen et al., 2017</xref>). Hypersecretion of serotonin by carcinoid tumors from the gastro-intestinal tract can trigger carcinoid syndrome, which is associated with flushing, diarrhea, bronchoconstriction and cardiac valvular disease (<xref ref-type="bibr" rid="B70">Onaitis et al., 2000</xref>). Excessive levels of circulating catecholamines in patients with pheochromocytoma, a NET derived from the adrenal medulla chromaffin cells, induce hypertension potentially leading to cardiomyopathies and stroke (<xref ref-type="bibr" rid="B104">Zhang et al., 2017</xref>; <xref ref-type="bibr" rid="B99">Y-Hassan and Falhammar, 2020</xref>). Moreover, enhanced secretory activity of NET cells may develop over time with negative impact on prognosis. For instance, a silent pituitary adenoma may progress into an actively secreting form, while a non-functional pancreatic tumor can start secreting excessive levels of hormones, thus evolving to a more aggressive tumor phenotype (<xref ref-type="bibr" rid="B11">Brown et al., 2006</xref>; <xref ref-type="bibr" rid="B21">Daems et al., 2009</xref>). In small cell lung cancer (SCLC), a high-grade malignant cancer, the progressive neuroendocrine nature of cancer cells enhances secretion of a variety of neuropeptides, together with growth factors that significantly accelerate the invasive growth by their autocrine action. Dysfunction of hormone secretion in NETs has been known from the clinical point of view for a long time, but the cellular and molecular mechanisms disturbing secretory pathways in tumor cells are rarely explored and remain poorly understood.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>
<bold>(A)</bold> Localization of neuroendocrine tumors (NETs) and their main secreted hormones. Hormones abbreviations: ACTH, adrenocorticotropic hormone; CEA, carcinoembryonic antigen; GH, growth hormone; NSE, neuron specific enolase; PRL, prolactin; PP, pancreatic polypeptide; PSA, prostate specific antigen; PTH, parathyroid hormone; VIP, vasoactive intestinal peptide. <bold>(B)</bold> Main steps of exocytosis and key proteins involved. Granules containing hormones and neuropeptides are formed at the trans-Golgi network by budding. They are then transported to the cell periphery and recruited to the plasma membrane. Their docking and priming prepare them for the step of fusion. Finally, the granules release their contents following calcium stimulation.</p>
</caption>
<graphic xlink:href="fcell-13-1527083-g001.tif">
<alt-text content-type="machine-generated">Panel A illustrates various neuroendocrine tumors (NETs) in the human body, including the pituitary, thyroid, parathyroid, pheochromocytoma, Merkel cell carcinoma, paraganglioma, gastroenteropancreatic, and urinary/genital NETs, highlighting associated hormones like ACTH, calcitonin, and catecholamines. Panel B depicts the cellular process of granule biogenesis, transport, recruitment, docking, and priming/fusion of secretory granules with the plasma membrane, involving proteins and complexes like Rab GTPase, SNARE, and annexin-A2, facilitated by calcium ions and actin bundles.</alt-text>
</graphic>
</fig>
<p>The first idea that usually comes in mind is that the increased level of secreted molecules results from an increased number of hormone-secreting cells within the tumor. However, the simplistic view of &#x201c;the more secreting cells, the more secreted hormones&#x201d; fails to consider alternative mechanisms. For example, in human pheochromocytoma, we recently reported using carbon fiber amperometry that individual tumor cells release significantly higher amounts of catecholamines compared to non-tumor chromaffin cells (<xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>). The obvious conclusion from these observations is that the process of hormone release itself may be dysregulated in NET cells.</p>
<p>Hormone and neuropeptide secretion by neuroendocrine cells occurs through calcium-regulated exocytosis, a process that has been the subject of extensive studies over the past 3 decades (<xref ref-type="bibr" rid="B1">Anantharam and Kreutzberger, 2019</xref>). In these cells, hormones are synthesized and then stored in large dense core vesicles (LDCV) also known as secretory granules. Exocytosis is triggered by extracellular stimuli that increase intracellular calcium level and involves several tightly regulated steps including, i) the recruitment of the secretory granules to the cell periphery, ii) their docking to exocytic sites, which physically attaches them to the plasma membrane, iii) their priming, which prepares the granules for fusion, and finally iv) the fusion of the secretory granule membrane with the plasma membrane, leading to the release of luminal content of secretory granules (<xref ref-type="fig" rid="F1">Figure 1B</xref>). The key questions arising from the observation of hypersecretion at the single cell level are which specific steps of the exocytic pathway are dysregulated in NETs and which proteins might be involved in this amplified secretory activity? Most of the limited data available today comes from &#x201c;omics&#x201d; approaches, which reveal changes in gene and protein expression across different NETs. These data are primarily from NETs derived from adrenal medulla, thyroid and pituitary gland. In this review, we focus on studies that investigate gene or protein expression changes specifically in human tumor biopsies. From this literature, we summarize the expression of key proteins involved in distinct steps of the hormone secretion pathway. <xref ref-type="table" rid="T1">Table 1</xref> lists these main proteins and genes, highlighting their function in exocytosis and their expression changes in NETs. In the following sections, we examine each step of the hormone secretory pathway, from granule formation and cargo loading to vesicle fusion and membrane remodeling, highlighting the alterations observed in human NET samples.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>List of up- and downregulated proteins or genes in neuroendocrine tumors.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Gene</th>
<th align="center">Protein</th>
<th align="center">Functions</th>
<th align="center">Uniprot entry</th>
<th align="center">Variation in tumors</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="center">ANO6</td>
<td rowspan="2" align="center">Anoctamin-6</td>
<td rowspan="2" align="center">Plasma membrane phospholipid scrambling, lipid reorganization of the plasma membrane</td>
<td rowspan="2" align="center">Q4KMQ2</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">Unpublished data</td>
</tr>
<tr>
<td align="left">&#x2198; lactotroph pitNET vs. normal cells (gene)</td>
<td align="left">
<xref ref-type="bibr" rid="B19">Cui et al. (2021)</xref>
</td>
</tr>
<tr>
<td rowspan="5" align="center">ANXA2</td>
<td rowspan="5" align="center">Annexin-A2</td>
<td rowspan="5" align="center">Calcium-dependent protein binding, cytoskeleton reorganization, vesicle fusion, vesicle budding from membrane</td>
<td rowspan="5" align="center">P07355</td>
<td align="left">&#x2198; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; MTC vs. normal thyroid (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B52">Kurczyk et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2198; GH-secreting pitNET vs. respective normal pituitary (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B77">Ribeiro-Oliveira et al. (2008)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; somatotroph pitNET vs. normal cells (gene)</td>
<td align="left">
<xref ref-type="bibr" rid="B19">Cui et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; parathyroid adenoma vs. normal parathyroid (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B35">Giusti et al. (2011)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="center">ATP8A1</td>
<td rowspan="2" align="center">Phospholipid-transporting ATPase IA</td>
<td rowspan="2" align="center">Phospholipid flippase, lipid reorganization and control of vesicle trafficking at the plasma membrane</td>
<td rowspan="2" align="center">Q9Y2Q0</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2198; lactotroph pitNET vs. normal cells (gene)</td>
<td align="left">
<xref ref-type="bibr" rid="B19">Cui et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">ATP9A</td>
<td align="center">Probable phospholipid-transporting ATPase IIA</td>
<td align="center">Phospholipid flippase, lipid reorganization and control of vesicle trafficking at the plasma membrane</td>
<td align="center">O75110</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">Unpublished data</td>
</tr>
<tr>
<td rowspan="2" align="center">CADPS</td>
<td rowspan="2" align="center">Calcium-dependent secretion activator 1</td>
<td rowspan="2" align="center">Priming, fusion, calcium binding, plasma membrane binding</td>
<td rowspan="2" align="center">Q9ULU8</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; parathyroid adenoma vs. normal parathyroid (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B3">Arya et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center">CADPS2</td>
<td align="center">Calcium-dependent secretion activator 2</td>
<td align="center">Priming, calcium binding, plasma membrane binding, SNARE binding</td>
<td align="center">Q86UW7</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td rowspan="4" align="center">CHGA</td>
<td rowspan="4" align="center">Chromogranin A</td>
<td rowspan="4" align="center">Granule biogenesis, secretory granule organization, peptide hormone processing</td>
<td rowspan="4" align="center">P10645</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; MTC vs. normal thyroid (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B52">Kurczyk et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; siNENs vs. normal human enterochromaffin cells (gene and protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B34">Giovinazzo et al. (2013)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="center">CHGB</td>
<td rowspan="3" align="center">Secretogranin-1</td>
<td rowspan="3" align="center">Secretory granule biogenesis and organization, peptide hormone processing</td>
<td rowspan="3" align="center">P05060</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; somatotroph pitNET vs. normal cells (gene)</td>
<td align="left">
<xref ref-type="bibr" rid="B19">Cui et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">CPLX2</td>
<td align="center">Complexin-2</td>
<td align="center">Positively regulates a late step in exocytosis of various cytoplasmic vesicles, such as synaptic vesicles and other secretory vesicles</td>
<td align="center">Q6PUV4</td>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">DBH</td>
<td align="center">Dopamine beta-hydroxylase</td>
<td align="center">Adrenaline and noradrenaline synthesis pathway</td>
<td align="center">P09172</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (gene and protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B36">Grouzmann et al. (2012),</xref> <xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">DDC</td>
<td align="center">Aromatic-L-amino-acid decarboxylase</td>
<td align="center">Catecholamine metabolic process, dopamine biosynthetic process</td>
<td align="center">P20711</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (gene and protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">FARP1</td>
<td align="center">FERM, ARHGEF and pleckstrin domain-containing protein 1</td>
<td align="center">Guanine nucleotide exchange factor for Cdc42 and Rac1, actin cytoskeleton organisation</td>
<td align="center">Q9Y4F1</td>
<td align="left">&#x2198; pheochromocytoma vs. non tumor (gene and protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B18">Croise et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center">MAOA</td>
<td align="center">Amine oxidase [flavin-containing] A</td>
<td align="center">Catecholamine catabolic process</td>
<td align="center">P21397</td>
<td align="left">&#x2198; pheochromocytoma vs. non tumor (gene and protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B36">Grouzmann et al. (2012),</xref> <xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">MAOB</td>
<td align="center">Amine oxidase [flavin-containing] B</td>
<td align="center">Catecholamine catabolic process</td>
<td align="center">P27338</td>
<td align="left">&#x2198; pheochromocytoma vs. non tumor (gene and protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B36">Grouzmann et al. (2012),</xref> <xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">MYO5A</td>
<td align="center">Unconventional myosin-Va</td>
<td align="center">Vesicle transport, actin filament organization</td>
<td align="center">Q9Y4I1</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="center">PCSK1</td>
<td rowspan="2" align="center">Neuroendocrine convertase 1</td>
<td rowspan="2" align="center">Peptide hormone processing</td>
<td rowspan="2" align="center">P29120</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; functioning corticotroph piNET vs. silent corticotroph piNET (gene)</td>
<td align="left">
<xref ref-type="bibr" rid="B103">Zhang et al. (2022)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="center">PCSK1N</td>
<td rowspan="2" align="center">ProSAAS</td>
<td rowspan="2" align="center">Peptide hormone processing</td>
<td rowspan="2" align="center">Q9UHG2</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="center">PCSK2</td>
<td rowspan="2" align="center">Neuroendocrine convertase 2</td>
<td rowspan="2" align="center">Peptide hormone processing</td>
<td rowspan="2" align="center">P16519</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">PFN2</td>
<td align="center">Profilin-2</td>
<td align="center">Actin reorganization</td>
<td align="center">P35080</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">PLCB2</td>
<td align="center">Phosphoinositide phospholipase C-beta-2</td>
<td align="center">Lipid metabolism: production of DAG and IP3 from PIP2</td>
<td align="center">Q00722</td>
<td align="left">&#x2197; parathyroid adenoma vs. normal parathyroid (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B3">Arya et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center">PLCB3</td>
<td align="center">Phosphoinositide phospholipase C-beta-3</td>
<td align="center">Lipid metabolism: production of DAG and IP3 from PIP2</td>
<td align="center">Q01970</td>
<td align="left">&#x2197; parathyroid adenoma vs. normal parathyroid (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B3">Arya et al. (2019)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="center">PLCB4</td>
<td rowspan="2" align="center">Phosphoinositide phospholipase C-beta-4</td>
<td rowspan="2" align="center">Lipid metabolism: production of DAG and IP3 from PIP2</td>
<td rowspan="2" align="center">Q15147</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">Unpublished data</td>
</tr>
<tr>
<td align="left">&#x2198; lactotroph pitNET vs. normal cells (gene)</td>
<td align="left">
<xref ref-type="bibr" rid="B19">Cui et al. (2021)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="center">RAB27A</td>
<td rowspan="3" align="center">Ras-related protein Rab-27A</td>
<td rowspan="3" align="center">Interacts with granuphilin to regulate exocytosis, granule maturation, docking, priming</td>
<td rowspan="3" align="center">P51159</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2198; somatotroph invasive pitNET (secreting) vs. non invasive (less secreting) (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B14">Chen et al. (2023)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="center">RAB27B</td>
<td rowspan="2" align="center">
<break/>Ras-related protein Rab-27B</td>
<td rowspan="2" align="center">Exosome secretion regulation, multivesicular endosomes docking, regulation of the number and secretion of platelet dense granules, delivery of granules near the exocytic site</td>
<td rowspan="2" align="center">O00194</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2198; somatotroph invasive pitNET (secreting) vs. non invasive (less secreting) (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B14">Chen et al. (2023)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="center">RAB3A</td>
<td rowspan="3" align="center">Ras-related protein Rab-3A</td>
<td rowspan="3" align="center">Synaptic vesicle maturation, priming, docking, trafficking, recycling</td>
<td rowspan="3" align="center">P20336</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2198; somatotroph invasive pitNET (secreting) vs. non invasive (less secreting) (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B14">Chen et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="center">RAB3B</td>
<td align="center">Ras-related protein Rab-3B</td>
<td align="center">Vesicle trafficking, vesicle biogenesis, regulates vesicle docking, priming, vesicle size, synaptic vesicle cycle</td>
<td align="center">P20337</td>
<td align="left">&#x2197; functioning corticotroph pitNETs vs. silent corticotroph PitNETs (gene)</td>
<td align="left">
<xref ref-type="bibr" rid="B103">Zhang et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">RAB3C</td>
<td align="center">Ras-related protein Rab-3C</td>
<td align="center">Priming, docking, trafficking, recycling</td>
<td align="center">Q96E17</td>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">RAB3D</td>
<td align="center">Ras-related protein Rab-3D</td>
<td align="center">Vesicle trafficking, docking</td>
<td align="center">O95716</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="center">SCAMP1</td>
<td rowspan="3" align="center">Secretory carrier-associated membrane protein 1</td>
<td rowspan="3" align="center">Protein transport, fusion pore dynamics</td>
<td rowspan="3" align="center">O15126</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; GH-secreting pitNET vs. respective normal pituitary (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B77">Ribeiro-Oliveira et al. (2008)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="center">SCG2</td>
<td rowspan="3" align="center">Secretogranin-2</td>
<td rowspan="3" align="center">Granule biogenesis, peptide hormone processing</td>
<td rowspan="3" align="center">P13521</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B39">Guillemot et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="center">SCG3</td>
<td rowspan="3" align="center">Secretogranin-3</td>
<td rowspan="3" align="center">Granule biogenesis, peptide hormone processing</td>
<td rowspan="3" align="center">Q8WXD2</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; somatotroph pitNET vs. normal cells (gene)</td>
<td align="left">
<xref ref-type="bibr" rid="B19">Cui et al. (2021)</xref>
</td>
</tr>
<tr>
<td rowspan="4" align="center">SCG5</td>
<td rowspan="4" align="center">Neuroendocrine protein 7B2</td>
<td rowspan="4" align="center">Regulation of pituitary hormone secretion, peptide hormone processing</td>
<td rowspan="4" align="center">P05408</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; functioning corticotroph piNET vs. silent corticotroph piNET (gene)</td>
<td align="left">
<xref ref-type="bibr" rid="B103">Zhang et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; somatotroph pitNET vs. normal cells (gene)</td>
<td align="left">
<xref ref-type="bibr" rid="B19">Cui et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">SLC18A1</td>
<td align="center">Chromaffin granule amine transporter</td>
<td align="center">Amine transporter, loading of catecholamines in secretory granules</td>
<td align="center">P54219</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">SLC18A2</td>
<td align="center">Synaptic vesicular amine transporter</td>
<td align="center">Amine transporter, loading of catecholamines in secretory granules</td>
<td align="center">Q05940</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="center">SNAP25</td>
<td rowspan="3" align="center">Synaptosomal-associated protein 25</td>
<td rowspan="3" align="center">Vesicle docking, priming, fusion, SNARE binding</td>
<td rowspan="3" align="center">P60880</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; somatotroph pitNET vs. normal cells (gene)</td>
<td align="left">
<xref ref-type="bibr" rid="B19">Cui et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">SMPD1</td>
<td align="center">Sphingomyelin phosphodiesterase</td>
<td align="center">Glycosphingolipid metabolic process</td>
<td align="center">P17405</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">STX1A</td>
<td align="center">Syntaxin-1A</td>
<td align="center">Vesicle docking, priming, fusion, SNARE binding, SNARE complex assembly</td>
<td align="center">Q16623</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">STX3</td>
<td align="center">Syntaxin-3</td>
<td align="center">Potentially involved in docking of synaptic vesicles at presynaptic active zones, apical receptor involved in membrane fusion of apical vesicles</td>
<td align="center">Q13277</td>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">STXBP1</td>
<td align="center">Syntaxin-binding protein 1</td>
<td align="center">Vesicle docking, priming, fusion, SNARE binding, SNARE complex assembly</td>
<td align="center">P61764</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="center">SV2A</td>
<td rowspan="2" align="center">Synaptic vesicle glycoprotein 2A</td>
<td rowspan="2" align="center">Plays a role in the control of regulated secretion in neural and endocrine cells, enhancing selectively low-frequency neurotransmission, positively regulates vesicle fusion</td>
<td rowspan="2" align="center">Q7L0J3</td>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; somatotroph pitNET vs. normal cells (gene)</td>
<td align="left">
<xref ref-type="bibr" rid="B19">Cui et al. (2021)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="center">SYT1</td>
<td rowspan="3" align="center">Synaptotagmin-1</td>
<td rowspan="3" align="center">Vesicle docking, priming, calcium binding, plasma membrane binding, SNARE binding, vesicle mediated transport</td>
<td rowspan="3" align="center">P21579</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2198; somatotroph invasive pitNET (secreting) vs. non invasive (less secreting) (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B14">Chen et al. (2023)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="center">SYT2</td>
<td rowspan="2" align="center">Synaptotagmin-2</td>
<td rowspan="2" align="center">Calcium binding, plasma membrane binding, SNARE binding, vesicle-mediated transport, fusion</td>
<td rowspan="2" align="center">Q8N9I0</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; sporadic MTC vs. paired normal thyroid tissue (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B102">Zhan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">SYT7</td>
<td align="center">Synaptotagmin-7</td>
<td align="center">Priming, calcium binding, plasma membrane binding, SNARE binding</td>
<td align="center">O43581</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="center">SYTL4</td>
<td rowspan="2" align="center">Synaptotagmin-like protein 4</td>
<td rowspan="2" align="center">Docking, calcium binding, plasma membrane binding, SNARE binding</td>
<td rowspan="2" align="center">Q96C24</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2198; somatotroph invasive pitNET (secreting) vs. non invasive (less secreting) (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B14">Chen et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="center">TH</td>
<td align="center">Tyrosine Hydroxylase</td>
<td align="center">Dopamine biosynthetic process</td>
<td align="center">P07101</td>
<td align="left">&#x2197; pheochromocytoma vs. non tumor (gene and protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B36">Grouzmann et al. (2012),</xref> <xref ref-type="bibr" rid="B41">Houy et al. (2022)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="center">VAMP2</td>
<td rowspan="2" align="center">Vesicle-associated membrane protein 2</td>
<td rowspan="2" align="center">Vesicle docking, priming, fusion, SNARE binding, SNARE complex assembly</td>
<td rowspan="2" align="center">P63027</td>
<td align="left">&#x2198; somatotroph invasive pitNET (secreting) vs. non invasive (less secreting) (protein)</td>
<td align="left">
<xref ref-type="bibr" rid="B14">Chen et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2197; functioning corticotroph pitNETs vs. silent corticotroph PitNETs (gene)</td>
<td align="left">
<xref ref-type="bibr" rid="B103">Zhang et al. (2022)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Abbreviations: MTC, medullary thyroid carcinoma; pitNET, pituitary neuroendocrine tumor; siNEN, small intestinal neuroendocrine neoplasm.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2">
<title>2 Secretory granules biogenesis and maturation</title>
<p>Biogenesis of secretory granules begins at the trans-Golgi network, where prohormones and granin-family proteins (e.g., chromogranins and secretogranins) are selectively sorted and packaged into immature granules (<xref ref-type="bibr" rid="B48">Kim et al., 2006</xref>). These granules then undergo a maturation process involving luminal acidification, condensation of their content, proteolytic processing of prohormones, and removal of non-regulated proteins via clathrin-coated vesicles (<xref ref-type="bibr" rid="B88">Tooze et al., 1991</xref>; <xref ref-type="bibr" rid="B2">Arvan and Castle, 1998</xref>; <xref ref-type="bibr" rid="B48">Kim et al., 2006</xref>; <xref ref-type="bibr" rid="B24">Dembla and Becherer, 2021</xref>). During this maturation phase, small-molecule hormones such as catecholamines and serotonin are actively transported, from the cytosol into the granules, by vesicular monoamine transporters (VMATs). This uptake is powered by the proton gradients generated by V-ATPases. In parallel, peptide hormones are proteolytically processed within granules by enzymes such as the prohormone convertases PC1/3 and PC2, assisted by the chaperones like secretogranin V (<xref ref-type="bibr" rid="B66">Morvan and Tooze, 2008</xref>; <xref ref-type="bibr" rid="B59">Ma et al., 2021</xref>). Together, these steps generate mature granules that are competent for stimulus-dependent exocytosis.</p>
<p>The increase in single cell hormone secretion in NETs could arise from the dysregulation of various step of granule biogenesis and maturation. First, it could be the consequence of secretory granules contents overloading. Several studies reported upregulation of mRNAs or proteins involved in hormone synthesis (<xref ref-type="table" rid="T1">Table 1</xref>). For example, enzymes involved in catecholamines synthesis (Tyrosine Hydroxylase (TH), Dopamine-&#x3b2;-Hydroxylase (DBH), DOPA decarboxylase (DCC)) are overexpressed in pheochromocytoma (<xref ref-type="bibr" rid="B44">Jarrott and Louis, 1977</xref>; <xref ref-type="bibr" rid="B42">Isobe et al., 1998</xref>; <xref ref-type="bibr" rid="B26">Eisenhofer et al., 2008</xref>; <xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>). Conversely, reduced expression of enzymes catabolizing catecholamines may further contribute to increase their levels. Accordingly, the monoamine oxydases (MAO-A/B), which deaminate cytosolic catecholamines, are downregulated in pheochromocytoma potentially leading to increased cytoplasmic catecholamine level (<xref ref-type="bibr" rid="B36">Grouzmann et al., 2012</xref>; <xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>). Finally, expression of transporters such as VMAT1/2 (SLC18A1/A2) responsible for monoamines loading, is also increased (<xref ref-type="table" rid="T1">Table 1</xref>; <xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>). It is, however, currently unknown whether increasing the number of hormone transporter molecules per granule actually leads to a higher hormone content, as there is a physical constraint beyond which additional filling is not possible.</p>
<p>Second, modulating the expression level of prohormone-processing enzymes that convert prohormones into their active forms can also lead to excessive active hormone production in NETs. This is often the case, for example, with neuroendocrine convertases (PCSK-1/2/1N), which are found upregulated in pheochromocytoma (<xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>), medullary thyroid carcinoma (<xref ref-type="bibr" rid="B102">Zhan et al., 2018</xref>) and pituitary tumor (<xref ref-type="bibr" rid="B19">Cui et al., 2021</xref>; <xref ref-type="bibr" rid="B103">Zhang et al., 2022</xref>). Interestingly, secretogranin V, a chaperone for prohormone convertase is also overexpressed in various NETs (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>Third, the overexpression of secretory granule-resident proteins could reflect an increase in the number of secretory granules per cell. Notably, various chromogranin proteins (CHGA/B, SCG2/3; <xref ref-type="table" rid="T1">Table 1</xref>) or chromogranin-derived peptides, which are key proteins required for granule biogenesis (<xref ref-type="bibr" rid="B49">Kim et al., 2001</xref>; <xref ref-type="bibr" rid="B8">Beuret et al., 2004</xref>; <xref ref-type="bibr" rid="B27">Elias et al., 2012</xref>; <xref ref-type="bibr" rid="B12">Carmon et al., 2020</xref>) have also been found to be overexpressed in various NETs (<xref ref-type="bibr" rid="B38">Guillemot et al., 2006</xref>; <xref ref-type="bibr" rid="B37">Guerin et al., 2010</xref>; <xref ref-type="bibr" rid="B102">Zhan et al., 2018</xref>; <xref ref-type="bibr" rid="B52">Kurczyk et al., 2020</xref>; <xref ref-type="bibr" rid="B19">Cui et al., 2021</xref>; <xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>). Whether this reflects an increase of the granin content per granule or an increase of the number of granules per cell or both requires further investigations.</p>
</sec>
<sec id="s3">
<title>3 Docking, priming and fusion</title>
<p>Our work in pheochromocytoma cells demonstrated that both the number of exocytic events and the kinetic of secretion were enhanced suggesting that late phases of exocytosis (docking, priming and/or fusion) could be modulated (<xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>). The core machinery controlling docking, priming and fusion involves SNARE (Soluble N-ethylmaleimide sensitive factor attachment protein receptor) proteins, as well as SNARE-regulating proteins. Fusion between the secretory granule and plasma membrane is energetically unfavorable and requires the assembly of a membrane-bridging complex formed by the SNAREs (<xref ref-type="bibr" rid="B43">Jahn et al., 2024</xref>). In most neuroendocrine cells, the SNARE complex mediating the regulated exocytosis of LDCVs typically include SNAP25, Syntaxin1, and VAMP2. The number of SNARE complexes formed at the site of vesicle docking is correlated with the likelihood and speed of vesicle fusion (<xref ref-type="bibr" rid="B64">Mohrmann et al., 2010</xref>). Therefore, increasing the number of SNARE proteins can lead to more SNARE complexes, potentially enhancing the exocytosis rate. Accordingly, SNAP25 as well as various Syntaxins and VAMPs are upregulated in several NETs (<xref ref-type="table" rid="T1">Table 1</xref>) (<xref ref-type="bibr" rid="B58">Lu et al., 2008</xref>; <xref ref-type="bibr" rid="B102">Zhan et al., 2018</xref>; <xref ref-type="bibr" rid="B19">Cui et al., 2021</xref>; <xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>; <xref ref-type="bibr" rid="B103">Zhang et al., 2022</xref>; <xref ref-type="bibr" rid="B14">Chen et al., 2023</xref>).</p>
<p>The assembly of the SNARE complex is not calcium sensitive, even though calcium is the main trigger of exocytosis. Synaptotagmins (Syts), a family of transmembrane vesicular proteins, confer Ca<sup>2&#x2b;</sup> sensitivity to membrane fusion in neuroendocrine cells by sensing changes in intracellular Ca<sup>2&#x2b;</sup> over a wide dynamic range (<xref ref-type="bibr" rid="B76">Pinheiro et al., 2016</xref>). Upon Ca<sup>2&#x2b;</sup> binding, synaptotagmins promote SNARE-mediated fusion by lowering the energy barrier primarily through the binding of their C2-domains to anionic phospholipids in the target membrane, which induces local positive curvature and membrane apposition to facilitate membrane merging. Among Syt family members, Syt1 and Syt7 have been implicated in neuroendocrine secretion (<xref ref-type="bibr" rid="B79">Schonn et al., 2008</xref>; <xref ref-type="bibr" rid="B63">Mohrmann et al., 2013</xref>; <xref ref-type="bibr" rid="B7">Bendahmane et al., 2020</xref>; <xref ref-type="bibr" rid="B86">Tawfik et al., 2021</xref>). Syt1 is a low-affinity, fast-responding isoform that mediate synchronous exocytosis, whereas Syt7 has higher calcium affinity and contributes to sustained or asynchronous release. Interestingly, Syt 1, 2 or 7 are upregulated in pheochromocytoma, medullary thyroid carcinoma and in somatotroph pituitary tumor (<xref ref-type="table" rid="T1">Table 1</xref>) (<xref ref-type="bibr" rid="B102">Zhan et al., 2018</xref>; <xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>; <xref ref-type="bibr" rid="B14">Chen et al., 2023</xref>).</p>
<p>Altogether these observations suggest that hormone release might be enhanced either by increasing the number of SNARE complexes, or by modulating calcium sensitivity. Alternatively, the efficiency of exocytosis could also be influenced by proteins that tightly regulate the assembly or disassembly of the SNARE complex such as proteins from Sec1/Munc18-1 family, or even by tethering factors such as Rab GTPases that mediate the initial contact between the secretory granule and the plasma membrane (<xref ref-type="bibr" rid="B5">Baker and Hughson, 2016</xref>). For example, syntaxin binding protein 1 (STXBP1, commonly named Munc18-1) is overexpressed in pheochromocytoma (<xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>), whereas expression level of the GTPases Rab3a-c or Rab27a-b and granuphilin (sytl4) is modified in pheochromocytoma, medullary thyroid carcinoma and in somatotroph or corticotroph pituitary tumor (<xref ref-type="table" rid="T1">Table 1</xref>), (<xref ref-type="bibr" rid="B102">Zhan et al., 2018</xref>; <xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>; <xref ref-type="bibr" rid="B103">Zhang et al., 2022</xref>; <xref ref-type="bibr" rid="B14">Chen et al., 2023</xref>).</p>
</sec>
<sec id="s4">
<title>4 Actin cytoskeleton remodelling</title>
<p>In addition to the essential and minimal core machinery mediating secretory granule recruitment, docking, priming and fusion, an important extra-layer of regulation finely tunes calcium-regulated exocytosis, and consequently, the amount of hormone released. Notably, the functional importance of the actin cytoskeleton in regulated exocytosis has been recognized for several decades. Early studies revealed a dense cortical actin layer beneath the plasma membrane in secretory cells such as pancreatic &#x3b2;-cells and adrenal chromaffin cells (<xref ref-type="bibr" rid="B71">Orci et al., 1972</xref>; <xref ref-type="bibr" rid="B89">Trifaro et al., 1985</xref>; <xref ref-type="bibr" rid="B4">Aunis and Bader, 1988</xref>). These observations initially led to the view that cortical actin served primarily as a physical barrier restricting granule access to fusion sites. Accordingly, numerous studies demonstrated that remodeling of this cortical actin barrier facilitates secretory granules transport and fusion during calcium-regulated exocytosis in a variety of secretory cell models (<xref ref-type="bibr" rid="B51">Koffer et al., 1990</xref>; <xref ref-type="bibr" rid="B94">Vitale et al., 1991</xref>; <xref ref-type="bibr" rid="B95">Vitale et al., 1995</xref>; <xref ref-type="bibr" rid="B30">Gasman et al., 1997</xref>; <xref ref-type="bibr" rid="B55">Lang et al., 2000</xref>; <xref ref-type="bibr" rid="B33">Giner et al., 2007</xref>; <xref ref-type="bibr" rid="B46">Kalwat et al., 2013</xref>; <xref ref-type="bibr" rid="B91">Uenishi et al., 2013</xref>). Subsequent investigations, also demonstrated that actin filaments not only exert inhibitory control but can also play facilitatory roles, depending on the specific step of secretory granule exocytic process. This evolving concept has been discussed in several comprehensive review articles (<xref ref-type="bibr" rid="B90">Trifaro et al., 2008</xref>; <xref ref-type="bibr" rid="B73">Papadopulos, 2017</xref>; <xref ref-type="bibr" rid="B56">Li et al., 2018</xref>; <xref ref-type="bibr" rid="B98">Wu and Chan, 2022</xref>). Therefore, actin reorganization is now recognized as a dynamic and tightly regulated process that both constrains and facilitates exocytosis, depending on context and timing.</p>
<p>Members of the Rho GTPases family regulate exocytosis through actin reorganization. Seminal work from our team has demonstrated that the GTPases RhoA and Cdc42 play key regulatory roles on catecholamine release from adrenal chromaffin cells, by differentially influencing actin organization (<xref ref-type="bibr" rid="B31">Gasman et al., 1999</xref>; <xref ref-type="bibr" rid="B60">Malacombe et al., 2006a</xref>; <xref ref-type="bibr" rid="B65">Momboisse et al., 2011</xref>). RhoA has been proposed to actively control the organization of the cortical actin network, which regulates granule positioning and their access to the plasma membrane. In contrast Cdc42 promotes <italic>de novo</italic> actin nucleation and polymerization at the secretory granule fusion sites, likely controlling the final step of exocytosis such as membrane fusion (<xref ref-type="bibr" rid="B61">Malacombe et al., 2006b</xref>; <xref ref-type="bibr" rid="B10">Bretou et al., 2014</xref>). Interestingly, we previously showed that Cdc42 activity is inhibited in human pheochromocytoma, suggesting that actin reorganization at the exocytic sites may be affected (<xref ref-type="bibr" rid="B18">Croise et al., 2016</xref>; <xref ref-type="bibr" rid="B17">Croise et al., 2017</xref>). Although Cdc42 expression remains unchanged compared to non-tumor tissue, we have found that its activity is directly correlated to reduced expression of FARP1, a guanine nucleotide-exchange factor (GEF), that activates Cdc42 (<xref ref-type="bibr" rid="B18">Croise et al., 2016</xref>). Moreover, the expression of several GEFs for Rho-GTPases members is modulated in various NETs (for details, see Table 2 in (<xref ref-type="bibr" rid="B82">Streit et al., 2020</xref>)). However, whether these changes in Rho-GTPases activity are directly linked to altered hormone release in NETs has not been thoroughly explored.</p>
<p>Annexin-A2 is another important protein that regulates hormone release, and organizes the actin cytoskeleton (<xref ref-type="fig" rid="F1">Figure 1B</xref>). Its expression is altered in various cancers including NETs (<xref ref-type="bibr" rid="B15">Christensen et al., 2018</xref>). In adrenal chromaffin cells, annexin-A2 promotes the formation of actin bundles required for efficient secretory granule docking and fusion (<xref ref-type="bibr" rid="B29">Gabel et al., 2015</xref>). Changes in annexin-A2 expression have been documented in several NETs, though with some differences. For instance, expression of annexin-A2 is decreased in pheochromocytoma (<xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>) and pituitary adenoma (<xref ref-type="bibr" rid="B77">Ribeiro-Oliveira et al., 2008</xref>; <xref ref-type="bibr" rid="B19">Cui et al., 2021</xref>), but increased in medullary thyroid carcinoma (<xref ref-type="bibr" rid="B52">Kurczyk et al., 2020</xref>) and in parathyroid adenoma (<xref ref-type="bibr" rid="B35">Giusti et al., 2011</xref>). It would be valuable to study the relationship between the bundling activity of annexin-A2, its expression level and the secretory activity of NET cells. How these actin bundles participate to the exocytic process requires further investigations.</p>
<p>Actin cables may serve to tether, displace secretory granules at the correct location or provide forces to deform membranes. To do so, actin filaments need molecular motors such as myosin proteins (<xref ref-type="fig" rid="F1">Figure 1B</xref>). Myosin II, V and VI constitute the main myosins involved in hormone release by neuroendocrine cells (<xref ref-type="bibr" rid="B74">Papadopulos et al., 2013</xref>; <xref ref-type="bibr" rid="B40">Gutierrez and Villanueva, 2018</xref>). We found that expression of unconventional myosin-Va is increased in pheochromocytoma (<xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>). Interestingly cancer-associated mutations in the MYO5B gene have been described in pheochromocytoma and paraganglioma (<xref ref-type="bibr" rid="B97">Wilzen et al., 2016</xref>). Moreover, metastatic pheochromocytoma displays significantly higher expression of Myo5B compared to non-metastatic tumor (<xref ref-type="bibr" rid="B87">Tomic et al., 2020</xref>). To our knowledge, no data regarding the expression of Myosins II and VI in human NETs samples has been documented so far.</p>
</sec>
<sec id="s5">
<title>5 Lipid modifying enzymes</title>
<p>Lipids, with their vast diversity encompassing tens of thousands of species, are essential to cellular function, serving structural, metabolic, and signaling roles (<xref ref-type="bibr" rid="B92">van Meer et al., 2008</xref>). Early studies demonstrated that the synthesis, metabolism or transport of various lipids species play a fundamental role in hormone secretion by altering membrane biophysical properties and modulating the activity proteins that governs each step of vesicle transport and fusion; for review see (<xref ref-type="bibr" rid="B84">Tanguy et al., 2016</xref>; <xref ref-type="bibr" rid="B32">Gasman and Vitale, 2017</xref>). Among these lipids, phosphatidylinositol-4,5-bisphosphate (PtdIns(4,5)P<sub>2</sub>) (<xref ref-type="bibr" rid="B62">Martin, 2012</xref>), certain fatty acids (<xref ref-type="bibr" rid="B22">Darios et al., 2007</xref>), anionic lipid such as phosphatidic acid (PA) (<xref ref-type="bibr" rid="B85">Tanguy et al., 2020</xref>), or cholesterol (<xref ref-type="bibr" rid="B54">Lang, 2007</xref>) regulate the activity or recruitment at exocytic sites of more than twenty proteins involved in regulated exocytosis (<xref ref-type="bibr" rid="B50">Koch and Holt, 2012</xref>). These targets include synaptotagmin (<xref ref-type="bibr" rid="B78">Schiavo et al., 1996</xref>), syntaxin (<xref ref-type="bibr" rid="B53">Lam et al., 2008</xref>), Ca<sup>2&#x2b;</sup>-dependent activator protein for secretion (CAPS) (<xref ref-type="bibr" rid="B57">Loyet et al., 1998</xref>), and actin-binding proteins such as scinderin and gelsolin (<xref ref-type="bibr" rid="B90">Trifaro et al., 2008</xref>).</p>
<p>Although comprehensive lipidomics for NETs are still lacking, transcriptomic and proteomic studies revealed dysregulation of multiple lipid-metabolic enzymes and lipid transporters, whose activity can influence hormone secretion. For instance, phospholipase C enzymes, which hydrolyze (PtdIns(4,5)P<sub>2</sub>) to generate diacylglycerol (DAG) and inositol 3-phosphate, are upregulated in NET subtypes. PLC-&#x3b2;2 and -&#x3b2;3 isoforms are overexpressed in parathyroid adenomas, whereas PLC-&#x3b2;4 expression is elevated in pheochromocytoma and in pituitary NETs, suggesting an imbalance in these lipids in tumor cells (<xref ref-type="bibr" rid="B6">Bauer et al., 2007</xref>; <xref ref-type="bibr" rid="B3">Arya et al., 2019</xref>; <xref ref-type="bibr" rid="B19">Cui et al., 2021</xref>). In pheochromocytoma the sphingomyelin phosphodiesterase, which catalyzes the conversion of sphingomyelin into ceramide and phosphatidylcholine is overexpressed, increasing the pool of phosphatidylcholine potentially available to phospholipase-D1 and thereby potentially augmenting PA-driven exocytosis (<xref ref-type="bibr" rid="B96">Vitale et al., 2001</xref>; <xref ref-type="bibr" rid="B101">Zeniou-Meyer et al., 2007</xref>; <xref ref-type="bibr" rid="B85">Tanguy et al., 2020</xref>).</p>
<p>Hormone secretion is further modulated by the asymmetric distribution of phospholipids across the plasma membrane bilayer. Notably, we have shown that calcium-regulated exocytosis requires a transient disruption of the plasma membrane asymmetry near vesicle fusion sites in adrenal chromaffin cells (<xref ref-type="bibr" rid="B72">Ory et al., 2013</xref>). This process is regulated by scramblases, which catalyze the bidirectional transport of phospholipids between plasma membrane leaflets. Interestingly, several transbilayer lipid transporters are overexpressed in pituitary NETs and pheochromocytoma, including the scramblase ANO6 and the P4-type ATPases ATP8A1 (<xref ref-type="bibr" rid="B19">Cui et al., 2021</xref>; <xref ref-type="bibr" rid="B41">Houy et al., 2022</xref>) and ATP9A (unpublished).</p>
<p>Overall, lipid metabolism and transport appear to be altered in several NETs, which could directly affect hormone secretion. However, further investigations are needed to understand how changes in plasma membrane lipid composition and asymmetry precisely affect exocytosis efficiency.</p>
</sec>
<sec sec-type="conclusion" id="s6">
<title>6 Conclusion</title>
<p>Neuroendocrine tumors (NETs) represent a unique class of neoplasms characterized by their aberrant and unregulated hormone secretion, leading to significant clinical consequences. While our understanding of the molecular and cellular mechanisms underlying this hypersecretion is still evolving, recent advances, particularly through &#x201c;omics&#x201d; technologies, have begun to shed light on key alterations within the secretory pathway. Current data suggest that disruptions in hormone metabolism and secretory granule trafficking, as well as changes in expression of the regulatory proteins involved in this process, might contribute to the dysfunctional hormone release observed in NETs. Despite this progress, significant gaps in knowledge remain and the next challenge will be to better understand the precise mechanisms by which NET cells acquire such hypersecretory phenotypes. Over the past decade, &#x201c;omics&#x201d; technologies have advanced tremendously, enabling extremely fine levels of analysis.</p>
<p>These data, along with the future &#x201c;omics&#x201d; research, will be crucial in paving the way for novel therapeutic strategies aimed at targeting the secretory machinery to alleviate the clinical burden of NETs. From a clinical perspective, hormone hypersecretion in NETs is managed through various strategies designed to reduce hormone levels, control tumor growth, and relieve symptoms. Core treatments include somatostatin analogs (SSA), which inhibit hormone release by targeting somatostatin receptors, and peptide receptor radionuclide therapy (PRRT), which delivers targeted radiotherapy to receptor-expressing tumor cells. Surgical resection remains the treatment of choice when feasible, while chemotherapy and targeted agents such as everolimus or sunitinib are used in more advanced stages. Numerous in-depth reviews have covered these therapeutic options extensively (<xref ref-type="bibr" rid="B83">Stueven et al., 2019</xref>; <xref ref-type="bibr" rid="B23">Das et al., 2021</xref>; <xref ref-type="bibr" rid="B100">Zappi et al., 2023</xref>; <xref ref-type="bibr" rid="B28">Faggiano, 2024</xref>), including specifically in the NET types discussed in this review, which show significant changes in the expression of proteins controlling exocytosis, such as pheochromocytoma, medullary thyroid carcinoma, and pituitary adenomas (<xref ref-type="bibr" rid="B93">Varlamov et al., 2019</xref>; <xref ref-type="bibr" rid="B47">Kim and Kim, 2021</xref>; <xref ref-type="bibr" rid="B9">Bihain et al., 2022</xref>; <xref ref-type="bibr" rid="B75">Petersenn et al., 2023</xref>; <xref ref-type="bibr" rid="B80">Sharma and Fishbein, 2023</xref>; <xref ref-type="bibr" rid="B13">Casey et al., 2024</xref>). However, these treatments rarely target the secretory pathway itself, and their efficacy can diminish over time. By focusing on the molecular mechanisms of hormone secretion, this review complements the clinical literature and highlights the potential of directly targeting secretory machinery to reduce hormone burden in patients with persistent or refractory symptoms. Finally, despite the availability of several biochemical and imaging biomarkers such as Chromogranin A (CgA), neuron-specific enolase (NSE), and fluorodeoxyglucose positron emission tomography (FDG-PET), the diagnosis of NETs remains challenging. For instance, CgA is the most widely used serum marker, but its limited specificity and frequent false negatives reduce its diagnostic value (<xref ref-type="bibr" rid="B69">Nobels et al., 1997</xref>; <xref ref-type="bibr" rid="B68">Nehar et al., 2004</xref>). Identifying changes in the expression of secretory granule cargo proteins will certainly help the discovery of new accurate biomarkers.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>LS: Conceptualization, Formal Analysis, Investigation, Writing &#x2013; review and editing. ET: Writing &#x2013; review and editing. LB: Resources, Writing &#x2013; review and editing. PT: Writing &#x2013; review and editing. NV: Writing &#x2013; review and editing. SO: Formal Analysis, Investigation, Methodology, Supervision, Validation, Writing &#x2013; review and editing. SG: Conceptualization, Funding acquisition, Investigation, Project administration, Resources, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. Part of the author&#x2019;s work performed in pheochromocytoma and discussed here has been supported by grants from ITMO Cancer AVIESAN (Alliance Nationale pour les Sciences de la Vie et de la Sant&#xe9;, National Alliance for Life Sciences &#x26; Health) within the framework of the Cancer Plan to SG and LB (Single Cell 2018 N&#x25e6; 19CS004-00); by the University of Strasbourg Institute for Advanced Study (USIAS) for a Fellowship, within the French national programme &#x201c;Investment for the future&#x201d; (IdEx-Unistra) and by Ligue Contre le Cancer (CCIR-GE) to SG.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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