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Pancreatic Neuroendocrine Tumors: Signaling Pathways and Epigenetic Regulation

A peer-reviewed version of this preprint was published in:
International Journal of Molecular Sciences 2024, 25(2), 1331. https://doi.org/10.3390/ijms25021331

Submitted:

22 December 2023

Posted:

25 December 2023

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Abstract
Pancreatic neuroendocrine tumors (PNETs) are characterized by dysregulated signaling pathways that are crucial for tumor formation and progression. The efficacy of traditional therapies is limited, particularly in treatment of PNETs at advanced stage. Epigenetic alterations profoundly impact the activity of signaling pathways in cancer development, offering potential opportunities for drug development. There is currently a lack of extensive research on epigenetic regulation in PNETs. To fill this gap, we first summarize major signaling events which are involved in PNET development. Then, we discuss the epigenetic regulation of these signaling pathways in the context of both PNET and commonly occurring, and therefore more extensively studied, malignancies. Finally, we will offer perspective on the future research direction of PNET epigenome and its potential applications in patient care.
Keywords: 
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Contents

  • Introduction
  • Major signaling pathways in PNETs
  • Epigenetic regulation of PNET-related signaling pathways
    1.1
    DNA methylation
    1.2
    Histone modifications
    1.3
    Non-coding RNAs
  • Future directions for epigenetic research and clinical applications in PNET patient care
  • Conclusion

1. Introduction

Pancreatic neuroendocrine tumors (PNETs) are a rare and heterogeneous group of neoplasms arising from pancreatic islet cells. They account for approximately 2% of all pancreatic malignancies and are characterized by their slow-growing nature and potential for metastasis [1]. Current treatment options for PNETs are limited, and the prognosis for patients with advanced disease remains poor, underscoring the urgent need for innovative therapeutic strategies [2]. The pathogenesis of PNETs is intricate, characterized by complex interactions among numerous signaling pathways. Each pathway plays a role in different facets of tumor development, encompassing cell proliferation, survival, migration, and angiogenesis. Together, these pathways constitute a complex network that, when disrupted, can result in uncontrolled tumor growth and metastasis [3]. Germline and somatic whole-genome sequencing provided a comprehensive analysis of PNET-related genetic variations [4]. Most PNETs occur sporadically, with only around 10% of the cases being associated with germline mutations. Germline mutations such as multiple endocrine neoplasia type 1 (MEN1), von Hippel-Lindau syndrome (VHL), neurofibromatosis type 1 (NF1), and occasionally tuberous sclerosis complex (TSC) are the most identified PNET-associated mutations [5,6]. For sporadically occurring PNETs, MEN1, DAXX (death domain associated protein), ATRX (α-thalassemia/mental retardation syndrome X-linked), and genes related to the mammalian target of rapamycin (mTOR) pathway harbor commonly identified somatic alterations [6].
While somatic and germline mutations remain of great significance for diagnosis and therapeutic treatment, emerging evidence highlights the pivotal role of epigenetic modifications in shaping the intricate landscape of PNET-related signaling [7]. Epigenetic modifications encompass a range of reversible alterations that modulate gene expression patterns without affecting the underlying DNA sequence, such as DNA methylation, histone modifications, and non-coding RNAs (ncRNAs) which coordinate together to govern cellular processes crucial for normal development and homeostasis [8]. In the context of PNETs, epigenetic dysregulation is starting to gain recognition as a significant player in the initiation and evolution of the disease [1,9,10]. Epigenetic alterations can lead to aberrant gene expression patterns, contributing to uncontrolled cell growth, evasion of cell death, and increased metastatic potential – hallmark characteristics of cancer [11]. This is particularly relevant in the case of PNET because PNETs have a low tumor mutational burden and are considered an epigenetic disorder, due to the fact that multiple high-frequency mutations, including MEN1, DAXX, and ATX, are all found involved in epigenetic regulation [7].
Several recent reviews have addressed the complicated signaling network in PNET development [1,3,12,13,14]. However, to the best of our knowledge, there is a deficiency in comprehensive studies that systematically review the epigenetic status of PNET-related signaling pathways, considering both PNET and other frequently encountered cancers simultaneously. Given that epigenetic mechanisms are common across various cancers [15,16], conducting a thorough examination of the epigenetic events within signaling pathways in the broader context of cancer research is certain to offer valuable insights. This approach will undoubtedly guide the identification of future directions for the relatively understudied field of epigenetic research in PNETs.
Because of our strong interest in enhancing the care of patients diagnosed with PNETs, we will concentrate on the epigenetic mechanisms that hold the highest clinical relevance. Presently, there are a total of eight FDA-approved anti-tumor epigenetic drugs primarily targeting DNA methylation and histone modifications [17]. Beyond their therapeutic applications, epigenetic markers, particularly in the realm of non-coding RNAs such as microRNAs (miRNAs), play a crucial role in cancer diagnosis [18]. This review will specifically delve into the three aforementioned epigenetic regulatory mechanisms: DNA methylation, histone modifications, and non-coding RNAs. This is by no means all-compassing, as we recognized that we will not discuss other epigenetic modifications including RNA methylation, histone ubiquitylation, phosphorylation, SUMOylation, ADP ribosylation, citrullination, and biotinylation at specific amino acidic residue [19].

2. Major Signaling Pathways and Molecules in PNETs

Various molecular alterations have been identified as correlated with the development of PNETs. These events manifest through diverse mechanisms, encompassing both genetic and epigenetic modifications, resulting in a complex regulatory network. Genetic variations of PNET include both familial and predominantly sporadic mutations [20]. Each of the hereditary syndromes, namely MEN1, VHL, NF1, and TSC, is characterized by distinct sets of signaling pathways and molecules [20]. Moreover, numerous signaling pathways exhibit sporadic mutations in PNET samples [20]. It is worth noting familial and sporadic mutations are not exclusive of each other in PNET. One such example is MEN1 signaling. MEN1 mutations play a pivotal role in the initiation and progression of pNETs, as over 40% of sporadic pNETs and all MEN1 patients exhibit somatic mutations in the MEN1 gene [21,22]. More interestingly, the status of MEN1 mutations and menin protein expression don’t always correlate well with each other. One study, which included the mutational analysis and immunohistochemistry results (IHC) of 169 PNET patients, showed that 80% of sporadic cases showed a loss of menin nuclear localization, while only 25% of the patients carried a mutation in the MEN1 gene itself [23]. This study clearly suggests that other regulatory mechanisms, besides genetic mutations, are involved in the altered level of signaling pathway in PNET pathology. The complicated regulatory mechanisms in PNET pathology have been nicely reviewed previously [1,3,12,13,14]. Here we adopt a different approach by discussing the PNET-related signaling events based on the major epigenetic regulatory mechanisms that they fall into, including DNA methylation, histone modifications, and ncRNAs (Figure 1). Dynamic alterations in DNA methylation, histone modifications, and ncRNA activity are integral aspects of the pathogenesis of other extensively studied cancers. However, the contributions of these epigenetic modifications to PNET pathology have yet to be fully explored.
Abbreviations: Acyl-CoA synthetase isoform 1(ACSL1); Secreted frizzled related protein 1 (SFRD1); WNT Inhibitory Factor 1(WIF1); Phosphatase and tensin homolog (PTEN); Receptor tyrosine kinase (RTK); Insulin receptor substrate 1 (IRS1); DEP domain containing 5 (DEPDC5); Hypoxia inducible factor 1 α (HIF1 α); Cyclin dependent kinase inhibitor 2A (CDKN2A); Wild-type p53-induced phosphatase 1 (WIP1); Mouse double minute 2 (MDM2); Pleckstrin Homology Like Domain Family A Member 3 (PHLDA3); Rab-like protein 6 (RABL6); Cyclin-dependent kinase 4 and cyclin-dependent kinase 6 (CDK4/6).

4. Future Directions for Epigenetic Research and Clinical Applications in PNET Patient Care

Up to this point, we have explored the epigenetic regulation of signaling pathways in the context of both PNET and other extensively studied cancers. It’s important to note that our intention is not to present exhaustive reviews that include detailed introductions to all the implicated signaling pathways. We acknowledge that providing such an in-depth review of the epigenetic regulation of even a single signaling pathway, like MEN1 signaling, would necessitate a comprehensive review in its own right [232,287,288]. Therefore, rather than aiming to cover all signaling pathways extensively, our focus is on discerning the disparities or gaps in our understanding of the epigenetic regulation of signaling pathways between PNET and other extensively studied cancers. The overarching goal is to utilize the understanding derived from existing knowledge in various cancers and translate this knowledge into advancements in research and clinical applications specific to PNET. This is particularly pertinent in the pursuit of more effective epigenetic drugs, akin to the successful cases observed in extensively studied cancers.
There has been notable advancement in comprehending the epigenetic control of cancers, although the available FDA-approved epigenetic therapies remain relatively scarce, with the majority targeting blood-borne cancers. Importantly, none of these approved therapies are directed at PNET. Although there have been endeavors to explore the use of FDA-approved drugs in clinical trials for PNET treatment, no successful reports have emerged thus far, as detailed in Table 4.
It is worth noting that currently approved FDA epigenetic drugs, such as DMTi and HDACi (Table 4), are lack of pathway specificity, thereby causing severe off-target effects and hindering their broad applications in the ever-growing field of precision medicine. In response to this limitation, ongoing efforts involve the utilization of CRISPR-guided systems to selectively activate or silence the promoter regions of either tumor suppressor or oncogenes, respectively [294]. However, this approach necessitates a more comprehensive understanding of the epigenetic regulation governing signaling pathways in PNETs.
As outlined in Section 3, it is evident that the epigenetic regulation of PNET remains an insufficiently explored domain in comparison to other extensively researched cancers, barring a few exceptions like the MEN1 and SSTR2 signaling pathways. This discrepancy is noticeable across various facets of epigenetic research, spanning from comprehensive genome profiling of PNET patient samples to laboratory-based animal studies and gene manipulation of cell lines (refer to Table 1, Table 2 and Table 3). For instance, in the field of DNA methylation research, there are lack of large-scale epigenetic profiling of PNET patient samples. As of 2022, there have been only nine studies reporting global-DNA methylation in human PNETs, which includes a total of 739 samples [295]. The lack of research samples could be, at least partially, due to the lack of overall PNET patient cases [1]. As discussed in section 1, PNETs make up around 2% of all pancreatic malignancies, characterized by their slow-growth tendencies and metastatic potential. These special characteristics resulted in a limited availability of patient tissue samples, particularly in the case of high-grade PNETs obtained from tumor autopsies [1]. Larger-scale studies and more advanced technologies are desperately needed to validate the existing results because identification of molecularly different NET subtypes will have a significant impact on clinical practice, given the high heterogeneity of PNET tumors. For example, in the research of some commonly occurring cancers, there have been reports of using advanced single-cell whole genome methylation profiling to obtain much more complicated information about of cancer epigenome [296].
The unique slowing growth characteristic of PNET also presents a practical challenge for research work in laboratories. For instance, STC-1, one of the most used mouse PNET cell lines, has a doubling time of 54 hours, which not only makes it hard to perform gene manipulation, but also creates a practical hurdle for creating syngenetic xenograft mouse models [297], which have been proven particularly suitable for studies of tumor immunity and immunotherapy response because of the presence of fully functional murine immune system [298]. Another challenge lies in the scarcity of PNET modeling systems. Currently, only a handful of human PNET cell lines, including the most widely used BON-1 and QGP-1, are accessible for research purposes. Consequently, there is a pressing need for further efforts to enhance and diversify the available tools for verifying both gain-of-function and loss-of-function in the continuously expanding list of genes associated with epigenetics research of PNET [299].
Despite the inherent challenges, some encouraging advancements have been achieved. Notably, recognizing the limited effectiveness of epigenetic cancer drugs has prompted investigations into combining these therapies with existing or emerging targeted treatments for a synergistic and combinatorial approach. This innovative strategy holds promise for improving clinical outcomes. For example, combination therapies that concurrently enhance SSTR expression using HDAC inhibitors and target SSTRs may demonstrate enhanced efficacy compared to individual therapies [10] (also refer to Section 3.2). Additionally, our laboratory has previously demonstrated that a combination of 5-azacytidine and chemotherapy can effectively reduce cell proliferation, activate silenced tumor suppressor genes, and diminish PNET tumors in vivo [300] .
Moreover, within the spectrum of diverse biomarkers, miRNAs display characteristics such as stability, relative abundance, and accessibility in blood samples. These qualities make miRNAs highly suitable as biomarkers for the diagnosis and monitoring of cancer [301,302]. Consequently, there is a call for more extensive global miRNA sequencing of PNET samples to establish a more dependable diagnostic platform for the optimal care of patients with PNETs.

5. Conclusion

In summary, the epigenetic regulation of PNETs exhibits similarities with broader cancer scenarios, providing valuable insights and therapeutic possibilities. Ongoing exploration of the specific mechanisms governing epigenetic changes in PNETs, alongside innovative strategies for drug development, holds considerable promise for enhancing the prognosis and quality of life for individuals grappling with this challenging malignancy. Notably, epigenetic changes play pivotal roles in immune surveillance and the development of drug resistance. As a result, the use of epigenetic drugs, including inhibitors targeting various enzymes like DNMTs, HMTs, HDMs, HATs, and HDACs, has the potential to effectively complement other treatments such as standard chemotherapy or immunotherapy in the care of PNET patients.

Funding

This research was supported by the Department of Surgery, Cooper University Health Care.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Schematic of epigenetic modifications of signaling pathways in PNET pathogenesis. Pathways are color-coded based on whether they are tumor-suppressor or oncogenic. Additional colors were added to indicate whether the regulatory mechanism of the signal molecules belong to DNA methylation, histone modifications, or ncRNAs in PNETs. For the enhancement of clarity and ease of understanding, specific protein molecules were organized with canonical pathways, even when these molecules are not typically mentioned alongside the canonical pathways. One such example is the inclusion of TSC in the mTOR pathway, based on correlations identified in previously published studies [24].
Figure 1. Schematic of epigenetic modifications of signaling pathways in PNET pathogenesis. Pathways are color-coded based on whether they are tumor-suppressor or oncogenic. Additional colors were added to indicate whether the regulatory mechanism of the signal molecules belong to DNA methylation, histone modifications, or ncRNAs in PNETs. For the enhancement of clarity and ease of understanding, specific protein molecules were organized with canonical pathways, even when these molecules are not typically mentioned alongside the canonical pathways. One such example is the inclusion of TSC in the mTOR pathway, based on correlations identified in previously published studies [24].
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Table 1. DNA methylation modifications in PNET. 1 RTKs include IGF, FGF, VEGF, EGF, HGF, PDGF.
Table 1. DNA methylation modifications in PNET. 1 RTKs include IGF, FGF, VEGF, EGF, HGF, PDGF.
Signaling pathway Signaling molecules DNA methylation status of promoter region Experimental systems
MEN1 MEN1 Hypermethylated human PNET samples [141]
PTEN/PI3K/AKT/mTOR/c-Myc/TSC/RTK1 PTEN Hypermethylated human PNET samples [41]
TSC no change human PNET samples [41]
IGF2 hypermethylated human PNET samples [142]
HIF-1α/VHL VHL Hypermethylated human PNET samples [50]
RAS/MAPK/NF1 RASSF1 Hypermethylated human PNET samples [70]
ALT/DAXX/ATRX DAXX Hypermethylated human PNET samples [78]
CDKN2A/RB1 CDKN2A Hypermethylated human PNET samples [88]
P16, P14ARF Hypermethylated human PNET samples [143]
P27 no change human PNET samples [90]
RB1 Hypermethylated human PNET samples [41]
P53 P53 Hypermethylated human PNET samples [41]
PHLDA3 Hypermethylated human PNET samples [98]
Wnt/β Catenin/MGMT SFRP1 Hypermethylated BON-1, and QGP-1 cell lines [121]
WIF1 no change BON-1, and QGP-1 cell lines [121]
MGMT MGMT-promoter methylation status correlates with chemoresistance in well-differentiated PNET. PNET patient samples[122,123]
SSTR SSTR2 SSTR2 promoter is hypermethylated in PNETs comparing to non-NET tissue and is inversely correlated with SSTR2 protein expression. human PNET samples
BON-1, and QGP-1 cell lines
xenograft mouse model [133]
Table 2. Histone modification status in PNET. 1 RTKs include IGF, FGF, VEGF, EGF, HGF, PDGF.
Table 2. Histone modification status in PNET. 1 RTKs include IGF, FGF, VEGF, EGF, HGF, PDGF.
Signaling pathway Signaling molecules Histone modification status Experimental systems
MEN1 MEN1 Loss of menin causes H3K4me3 loss and sporadic PNET tumors. PNET patient samples [178]
PTEN/PI3K/AKT/mTOR/
c-Myc/TSC/RTK1
IGF2 Genome-wide studies of H3K4 methylation in pancreatic islets indicate that loss of MEN1 alters the epigenetic landscape of its target genes such as insulin like growth factor binding protein 2 (Igf2bp2), p18ink4c (CDKN2C) and p27kip1 (CDKN1B). Pancreatic islets from MEN1-deficient mice [214]
DAXX/ATRX/ALT DAXX
ATRX
DAXX and TRX form a histone chaperone complex to deposit histone variant H3.3 at the telomeres and pericentric heterochromatin regions of the genome. They are frequently mutated in PNET samples. Human PNET samples,
Hela cells [215,216]
CDKN2A/RB1 RB1 Histone demethylase retinoblastoma binding protein 2 (Rbp2) was found overexpressed in PNET tumors. Aberrant expression of Rbp2 altered histone demethylation and contributed to PNET pathogenesis. PNET patient samples, βlox5 cell, H727 cell, QGP-1 cell
[191]
Notch Notch1 HDAC inhibitor causes increased Notch 1 expression in tumor cells and mouse tumor xenograft[108,217] BON-1 cells [217], carcinoid cancer cells and mouse tumor xenograft [108]
SSTR2 SSTR2 Histone acetylation present on SSTR2. In addition, the combination treatment of HDACi (VPA) and camptothecin-somatostatin conjugate significantly reduced tumor growth comparing to monotherapies. BON-1 and QGP-1 cells [208] [209], BON-1 xenograft mouse model [210]
Table 3. NcRNAs in PNET.1 RTKs include IGF, FGF, VEGF, EGF, HGF, PDGF.
Table 3. NcRNAs in PNET.1 RTKs include IGF, FGF, VEGF, EGF, HGF, PDGF.
Signaling pathway Signaling molecules Non-coding RNA status Experimental systems
MEN1 MEN1 Menin negatively regulates miR-24-1 in a negative feedback loop manner. BON-1 cells [230,231]
MiR-24 negatively regulates menin in endocrine pancreas. MIN6 cells, βlox5 cells; floxed MEN1 mouse model [282]
Menin upregulates expression of MEG3. Mouse insulinoma cells [229]
PTEN/PI3K/AKT/mTOR/c-Myc/ TSC/PRK1 PTEN MEG3 causes decreased p-PI3K, p-AKT, p-mTOR, and smaller tumor size. human retinoblastoma cells [283]
PI3K miR-144 causes decreased PTEN. and xenograft mouse model [284]
AKT MiR-144 correlated with increased p-AKT. MIN6 cells [236]
mTOR IncRNA H19 causes increased PI3K-AKT and PNET progression. Human insulinoma samples, QGP-1, PNET primary Cells.QGP-1 xenograft model [237]
HGF/MET MEG3 downregulates c-MET in PNET. MIN6 cells, mouse, PNET patient samples [229].
HIF-1α/VHL HIF-1α MiR-210 expression is positively correlated with PNET progression and was shown to regulate colorectal adenocarcinoma progression through HIF1α. PNET patient samples [242]
FaDu head & neck cancer cell line, SU86.76 pancreatic cancer cell line, Xenograft mouse model [244,285].
RAS/MAPK/NF1 RAS MiR-431 promotes PNET progression by silencing DAB21P, resulting in the activation of RAS pathway. QGP-1 cell line, and xenograft mouse model [249].
ALT/DAXX/ATRX ATRX ATRX negatively regulates miR-3653, which might serve as a risk factor of metastatic disease in PNET. Microarray differential expression of human PNET tissue samples [253].
Notch Notch1,2,3, ASCL1 LncRNA XLOC_221242 is positively correlated with Notch/Wnt signaling. PNET patient samples [265,286].
Wnt/β Catenin Wnt,
β-Catenin, SFRP1, WIF1
LncNEN885 negatively regulates Wnt/β-catenin signaling, leading to reduction of EMT in PNET. LncNEN885 is negatively correlated with PNET progression. BON-1 cells, and PNET patient samples [270].
SSTR SSTR2 Upregulation of miR-16-5p induces SSTR2 expression. INS-1 cell line [277]
Table 4. FDA-approved anti-tumor epigenetic drugs and trials in PNET treatment. (DNMTi = DNA methyltransferase inhibitor; HDMi = Histone lysine demethylase inhibitor; HDACi = Histone deacetylase inhibitor; AML = acute myeloid leukemia; CML = chronic myelogenous leukemia; MDS = myelodysplastic syndromes; CTCL = cutaneous T-cell lymphoma; PTCL = peripheral T-cell lymphoma; MM = multiple myeloma; NR = no report; NA = not applicable).
Table 4. FDA-approved anti-tumor epigenetic drugs and trials in PNET treatment. (DNMTi = DNA methyltransferase inhibitor; HDMi = Histone lysine demethylase inhibitor; HDACi = Histone deacetylase inhibitor; AML = acute myeloid leukemia; CML = chronic myelogenous leukemia; MDS = myelodysplastic syndromes; CTCL = cutaneous T-cell lymphoma; PTCL = peripheral T-cell lymphoma; MM = multiple myeloma; NR = no report; NA = not applicable).
Drug name Drug target Targeted disease Trial in PNET Status of trial
Azacitidine DNMTi AML, CML and MDS NR NA
5-Aza-2’-deoxycytidine DNMTi AML, CML and MDS Trial on synchronous AML and PNET Treatment was successful with combination of somatostatin analogs and decitabine, but with severe side effects [289].
Tazemetostat HDMi Advance epithelioid sarcoma NR NA
Enasidenib HDMi AML NR NA
Vorinostat HDACi CTCL Pilot-imaging study to test efficacy of vorinostat on radionuclide uptake. Statistically significant increase of radionuclide uptake was observed [290].
Romidepsin HDACi CTCL and PTCL Phase I trial of romidepsin in patients with pancreatic and other advanced solid tumors. Stable disease status was observed when combined with treatment of gemcitabine [291].
Panobinostat HDACi MM Phase II-trial against low-Grade PNET 15 patients were in the trial. No response was observed [292].
Belinostat HDACi PTCL Phase I-trial against NET and small cell lung cancer Partial response was observed when patients were treated with belinostat combined with cisplatin and etoposide [293].
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