Targeted therapy of gastroenteropancreatic neuroendocrine tumours: preclinical strategies and future targets

in Endocrine Connections
Authors:
E T Aristizabal Prada Department of Internal Medicine IV, Campus Grosshadern, University-Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany

Search for other papers by E T Aristizabal Prada in
Current site
Google Scholar
PubMed
Close
and
C J Auernhammer Department of Internal Medicine IV, Campus Grosshadern, University-Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany

Search for other papers by C J Auernhammer in
Current site
Google Scholar
PubMed
Close

Open access

Sign up for journal news

Molecular targeted therapy of advanced neuroendocrine tumours (NETs) of the gastroenteropancreatic (GEP) system currently encompasses approved therapy with the mammalian target of rapamycin (mTOR) inhibitor everolimus and the multi-tyrosinkinase inhibitor sunitinib. However, clinical efficacy of these treatment strategies is limited by low objective response rates and limited progression-free survival due to tumour resistance. Further novel strategies for molecular targeted therapy of NETs of the GEP system are needed. This paper reviews preclinical research models and signalling pathways in NETs of the GEP system. Preclinical and early clinical data on putative novel targets for molecular targeted therapy of NETs of the GEP system are discussed, including PI3K, Akt, mTORC1/mTORC2, GSK3, c-Met, Ras–Raf–MEK–ERK, embryogenic pathways (Hedgehog, Notch, Wnt/beta-catenin, TGF-beta signalling and SMAD proteins), tumour suppressors and cell cycle regulators (p53, cyclin-dependent kinases (CDKs) CDK4/6, CDK inhibitor p27, retinoblastoma protein (Rb)), heat shock protein HSP90, Aurora kinase, Src kinase family, focal adhesion kinase and epigenetic modulation by histone deacetylase inhibitors.

Abstract

Molecular targeted therapy of advanced neuroendocrine tumours (NETs) of the gastroenteropancreatic (GEP) system currently encompasses approved therapy with the mammalian target of rapamycin (mTOR) inhibitor everolimus and the multi-tyrosinkinase inhibitor sunitinib. However, clinical efficacy of these treatment strategies is limited by low objective response rates and limited progression-free survival due to tumour resistance. Further novel strategies for molecular targeted therapy of NETs of the GEP system are needed. This paper reviews preclinical research models and signalling pathways in NETs of the GEP system. Preclinical and early clinical data on putative novel targets for molecular targeted therapy of NETs of the GEP system are discussed, including PI3K, Akt, mTORC1/mTORC2, GSK3, c-Met, Ras–Raf–MEK–ERK, embryogenic pathways (Hedgehog, Notch, Wnt/beta-catenin, TGF-beta signalling and SMAD proteins), tumour suppressors and cell cycle regulators (p53, cyclin-dependent kinases (CDKs) CDK4/6, CDK inhibitor p27, retinoblastoma protein (Rb)), heat shock protein HSP90, Aurora kinase, Src kinase family, focal adhesion kinase and epigenetic modulation by histone deacetylase inhibitors.

Introduction

Neuroendocrine tumours (NETs) of the gastroenteropancreatic (GEP) system are often metastasized at the time of diagnosis and curative resection is not possible in all cases (1, 2). Our knowledge on medical therapy of advanced disease of NETs of the GEP system (2, 3, 4, 5, 6, 7, 8), including molecular targeted therapy with the mammalian target of rapamycin (mTOR) inhibitor everolimus and the multi-tyrosinkinase inhibitor sunitinib, has significantly progressed over the last few years. Hallmarks of gastrointestinal NET development have been defined (9, 10) and our understanding of genetics (11, 12, 13), epigenetics (14, 15), tumourigenesis (9), angiogenesis (9), novel biomarkers (10) and how to overcome resistance mechanisms (16, 17, 18) has tremendously grown in the last few years. However, clinical efficacy of molecular targeted therapy with the mTOR inhibitor everolimus and the multi-tyrosinkinase inhibitor sunitinib in NETs of the GEP system is limited by low objective response rates and limited progression-free survival (PFS) due to tumour resistance (2, 5, 16, 17).

Further novel strategies for molecular targeted therapy of NETs of the GEP system are needed. This review is focused on novel putative targeted therapies for well-differentiated NETs with G1/G2 grading of the GEP system (19, 20). We review current preclinical and early clinical data on several putative novel targets and future challenges for molecular targeted therapy of NETs of the GEP system.

Novel targets and future strategies in NETs

Preclinical in vitro and in vivo model in NETs

Preclinical models of NETs currently encompass only a limited number of human NET cell lines and mouse models, as has been recently reviewed (21, 22, 23, 24). The most commonly used human neuroendocrine neoplasia cell lines of GEP origin encompass the pancreatic cell lines BON1 (25) and QGP1 (26), as well as the small intestinal cell lines GOT1 (27) and KRJ-I (28). The human insulinoma cell line CM has been reported to be not a valid model of beta cell function and to not secrete insulin because of severe chromosomal aberrations (29). Further human NET cell lines established are the small intestinal cell lines P-STS, L-STS and H-STS (30) and the neuroendocrine carcinoma cell lines NEC-DUE1, NEC-DUE2 (31) and N-TAK1 (32). Whole-exome characterisation of human pancreatic NET cell lines BON1 and QGP1 and human carcinoid lung cell lines, e.g. H727, has been reported (33, 34). A major limitation of the available human NET cell lines is that their mutation rate and pattern seem distinct from well-differentiated NETs in patients (33, 34) and thus might not adequately depict the tumour biology of well-differentiated NETs.

Cell-signalling pathways in GEP-NETs

PI3K–Akt–mTOR pathway

The PI3K–Akt–mTOR pathway is well known to be critical in GEP-NETs and offers promising mechanistic research approaches and therapeutic targets (35). Molecular targeting of the PI3K–Akt–mTOR pathway opened up new perspectives for therapeutic strategies and presented a vast variety of drugable pharmacologic targets (Table 1) as this pathway is involved in the pathogenesis and tumour growth of NETs (16, 36, 37, 38) (Fig. 1).

Figure 1
Figure 1

Important growth factors and cellular signalling pathways involved in tumourigenesis and angiogenesis of NETs. PI3K–Akt–mTOR pathway, Ras–Raf–MEK–ERK pathway, Wnt/beta-catenin pathway, Notch-1 signalling and Hedgehog signalling, cyclin-dependent kinases in a cellular context.

Citation: Endocrine Connections 7, 1; 10.1530/EC-17-0286

Table 1

Molecular targeting therapies of the PI3K–Akt–mTOR pathway in GEP-NETs.

Target Immunohistochemical data Gene expression/somatic mutations Substance: in vitro data Human NET cell lines Substance: in vivo data Animal model Clinical trials
mTORC1 Kasajima et al. (44), Geis et al. (46) mTOR upregulation Everolimus

Passacantilli et al. (58), Grozinsky-Glasberg et al. (68), Zitzmann et al. (69), Djukom et al. (70)

Temsirolimus

Rapamycin

Moreno et al. (66)
Everolimus

Djukom et al. (70), Pool et al. (267)

Rapamycin

Moreno et al. (66)
Everolimus (phase 3)

Yao et al. (47), Pavel et al. (48)

Yao et al. (49)

Temsirolimus (phase 2)

Hobday et al. (268), Duran et al. (52)
PI3K

mTORC1/mTORC2
Missiaglia et al. (41), Pitt et al. (40), Cingarlini et al. (42), Tan et al. (43) PI3K upregulation; PTEN/TSC2 downregulation/mutational loss of function LY294002

Djukom et al. (70), Couderc et al. (71)

BKM120

Valentino et al. (73)

BEZ235

Gagliano et al. (51), Zitzmann et al. (56), Passacantilli et al. (58), Valentino et al. (73)

BYL719

Passacantilli et al. (58)
LY294002

Djukom et al. (70), Couderc et al. (71)
BEZ235 (phase2)

Fazio et al. (60)

CC-223 (phase 1)

Mita et al. (83)
Akt Banck et al. (11) Akt1/Akt2 gene amplification Perifosine

Zitzmann et al. (78)

MK-2206

Somnay et al. (79)

Triciribine

Gloesenkamp et al. (82)
MK-2206 (phase 1, 2)

Yap et al. (80), Reidy-Lagunes et al. (81)

Overactivation of the PI3K–Akt–mTOR pathway in GEP-NETs

Genetic mutations in the PI3K–Akt–mTOR pathway show an overall occurrence of 15% and an altered gene expression pattern in pancreatic NETs (13, 35). Gene amplification of PI3K–Akt–mTOR signalling components, mostly because of Akt1 and Akt2 amplifications, has been demonstrated to be common in small intestine NETs (SI-NETs) in approximately 33% (16/48 tumours) (11). The dysregulations of Akt because of point mutations, gene amplification and/or overexpression, which result in the constitutive activation of Akt, lead to radio-resistance in cancers; an enhanced PI3K–Akt–mTOR pathway expression causes accelerated DNA double-strand break repair, which forms the radio-/chemo-resistance base (39). Misregulation in the PI3K–Akt–mTOR signalling pathway usually occurs because of constitutive activation of PI3K, for example because of downregulation and/or mutational loss of function of PTEN which then leads to unregulated activation of Akt (40). The upstream mTOR regulators PTEN and TSC2 are often mutated, ­downregulated or altered in their protein expression level, causing mTOR activation in pancreatic NETs (41, 42). Loss of PTEN protein was evidenced in 63% of small cell neuroendocrine carcinomas (17/27), with 38% (5/13) exhibiting allelic loss (43). An immunohistochemical (IHC) analysis showed expression and activity levels of mTOR, 4EBP1, cytoplasmic phospho-4EBP1 (p4EBP1), nuclear p4EBP1, phospho-S6K (pS6K) and phospho-eIF4E (peIF4E) in GEP-NETs and demonstrated that 61, 93, 80, 69, 57 and 79% of the analysed GEP-NETs were positive for these proteins, ­respectively (44). Another IHC ­analysis of 72 primary pancreatic NETs showed a downregulation of TSC2 and/or PTEN in 85% of the cases, which was clearly correlated with shorter disease-free and overall survival (41). High mTOR activity was correlated with an enhanced proliferative capacity, and differences in mTOR activity and expression levels were associated with the possible variation in mTOR inhibitor response (44). Another IHC study correlated the expression of mTOR and its downstream targets RPS6KB1, RPS6 and eIF4EBP1 with an adverse clinical outcome in NETs (45). In an IHC study of ileal NETs, a clear overexpression of mTOR was determined in 76.2% of all cases (46).

Inhibition of the PI3K–Akt–mTOR pathway in GEP-NETs

Inhibition of mTORC1 by rapamycin and its analogues is an effective anti-tumoural strategy in NETs. The mTORC1 inhibitor everolimus is currently approved for treatment of pancreatic NETs (47) and also of GI-NETs and lung NETs (48, 49). Sensitivity of cancer cells to rapamycin and its analogues is positively correlated with PIK3CA and/or PTEN mutations and with PI3K–Akt–mTOR activation demonstrated by high pAkt and p70S6K levels (50, 51). Following treatment with rapamycin and its analogues, a compensatory upregulation of the PI3K–Akt cascade with an increase in p-Akt T308 and pAkt S473 is observed in rapamycin-sensitive cancer cells but not in rapamycin-insensitive ­cancer cells (50, 51). On the other hand, this upregulation of p-Akt during treatment with rapamycin and its analogues is an important compensatory mechanism, causing treatment resistance (52, 53, 54, 55, 56, 57, 58, 59, 60). Thus, the anti-tumoural efficacy of mTORC1 inhibitors as everolimus or temsirolimus is limited, most probably because of rescue mechanisms, including compensatory upregulation of PI3K–Akt signalling and Ras–Raf–MEK–ERK1/2 signalling by mTORC1 inhibitors (52, 53, 54, 55, 56, 57, 58, 59, 60, 61). The better understanding of long-term resistance formation to everolimus treatment is of fundamental importance to establish predictive biomarkers and to provide rationale dual targeting options in order to overcome such acquired or intrinsic resistance (53, 62). Because of the importance of the PI3K–Akt–mTOR pathway in GEP-NENs, many possible therapeutic targets open up on many different levels along the signalling pathway and further research is required. Dual horizontal inhibition of the PI3K–Akt–mTOR signalling cascade as well as dual vertical inhibition of mTORC1 and other pathways as Ras–Raf–MEK–ERK1/2 signalling might be a promising future strategy to overcome compensatory rescue mechanisms and resistance in NETs.

mTOR inhibition

The mTOR has an essential role in cell growth control and involvement in human tumourigenesis. It is involved in two distinct multi-protein complexes, namely mTORC1 and mTORC2 (63, 64). While mTORC1 is stimulated by various growth factors and is sensitive to inhibition by rapamycin and its analogues, mTORC2 is considered insensitive to rapamycin and its analogues (63, 64).

The role of mTORC1 inhibition in GEP-NETs has been recently extensively reviewed by Briest and coworkers. (65). Using various preclinical in vitro and in vivo models of NETs, anti-tumoural effects have been demonstrated for rapamycin (66) and everolimus (58, 67, 68, 69, 70). mTORC1 inhibition in NETs causes dephosphorylation of the mTORC1 downstream signals p70S6K and 4EPB1, and compensatory upregulation of the upstream signal Akt (52, 55, 56, 66). Dual targeting within the same pathway (vertical targeting) or within different pathways (horizontal targeting) seems to be a possible solution for de novo or acquired mTORC1 inhibitor resistance and for inhibition escape mechanisms (35).

PI3K inhibition

Preclinical studies in NET cell lines in vitro and xenograft mouse model in vivo have demonstrated anti-tumoural efficacy of the PI3K inhibitor LY294002 alone and in combination with the mTORC1 inhibitors rapamycin or everolimus (70, 71). In RIP1-Tag2, the selective inactivation of the p110α PI3K isoform, either genetically or pharmacologically (GDC-0326), decreased tumour growth and vascular area, and GDC-0326 reduced the incidence of liver and lymph node metastasis compared with vehicle-treated mice (72). In vitro studies also demonstrated the pan-PI3K inhibitor BKM120 (73) and the dual PI3K/mTOR inhibitor BEZ235 alone and in combination with the mTORC1 inhibitor everolimus (51, 56, 58, 73) to exert anti-tumoural efficacy in NET cells. In human NET cell lines, the PI3K inhibitors BEZ235, BKM120 and BYL719 were tested in combination with RAD001 to overcome feedback resistance mechanisms occurring often by sole mTOR inhibition (58, 74). In another study, different NET cell lines were treated with either the pan-PI3K inhibitor BKM120 or the dual PI3K/mTOR inhibitor BEZ235 alone or in combination with the MEK inhibitor, PD0325901 (73), the combination of BEZ235 and PD0325901 was the most effective therapy option in vivo compared with single-agent treatments demonstrating the great potential of horizontal combinational targeting (73). However, the clinical development of BEZ235 was terminated, and two clinical phase 2 studies in NETs did not meet the statistical endpoint and demonstrated severe toxicity (60, 75). Nevertheless, targeting PI3K in NETs with other compounds still might be a promising approach. Further agents and inhibitors concerning PI3K or other upstream targets that are recently in clinical trials should also be tested for therapeutic approaches in GEP-NETs (65, 76). Currently, there is only one FDA-approved delta-specific PI3K inhibitor (idelalisib) used in leukaemia and two types of lymphoma, but there are over 30 PI3K inhibitors at different stages in clinical trials, belonging to either a dual pan-Class I PI3K/mTOR inhibitor, a pan-Class I PI3K inhibitor lacking significant mTOR activity or an isoform-selective PI3K inhibitor (77).

Akt-inhibition

The pan-Akt inhibitor perifosine demonstrated strong anti-tumoural effects in vitro in human NET cell lines and a particular role of Akt1 and Akt3 isoforms was determined because of knockdown methods with siRNA, suggesting a therapeutic potential by selective Akt1/Akt3 targeting (78). In vitro studies with the allosteric pan-Akt inhibitor MK-2206 in NET cell lines demonstrated a decrease in pAKT expression, inhibition of proliferation and induction of apoptosis mechanisms and a decreased expression of the NET tumour markers CgA and NSE (79). In a clinical phase 1 study with MK-2206 in patients with solid tumours, two patients with pancreatic NETs experienced a minor tumour response (80). A clinical phase 2 study with MK-2206 including eight patients with NETs (NCT01169649) was terminated early by the sponsor and demonstrated minor response/stable disease in 4/8 (50%) with a range from 4.2 to 10.2 months (81). In insulinoma CM cells and gut neuroendocrine STC-1 cells, the Akt inhibitor triciribine decreased cell growth and showed synergistic anti-proliferative effects in combination with 5-fluorouracil or the mTORC1 inhibitor everolimus or the IGF-1R inhibitor NVP-AEW541 (82).

mTORC1/mTORC2 inhibition

In a phase 1 clinical trial expansion with the mTORC1/mTORC2 inhibitor CC-223 on non-pancreatic NETs, prolonged stable disease and symptomatic improvement in subjects with refractory carcinoid syndrome were reported (83). The highly selective dual inhibitor of PI3K and mTORC1/mTORC2 PKI-587 has shown promising anti-proliferative effects in a study with various NET cell lines (BON1, QGP1, KRJ-I and LCC-18) (84).

Combination of mTORC1 and EGFR inhibition

Everolimus exhibited synergistic effects in combination with the EGFR inhibitor erlotinib on large-cell NETs and bronchial NETs with an activated EGFR-Akt-mTOR pathway by inducing apoptosis (61). Dual therapeutic targeting of EGFR and mTOR in a preclinical mouse model with pancreatic NETs could overcome drug resistance and improve survival (85).

Combination of mTORC1 and somatostatin analogues

Treatment of NET cells in vitro with a combination of the mTORC1 inhibitor rapamycin or everolimus plus the somatostatin analogue octreotide has caused controversial results in different models. The combination of mTORC1 inhibitors plus octreotide caused no enhanced anti-tumour activity in comparison to mTORC1 inhibition alone in human NET cell lines BON1 and H727 (66, 68, 86) and primary tumour cells in vitro. The lack of effect of octreotide in BON1 and H727 cells might be because of the fact that these cell lines do not express a sufficient amount of somatostatin receptor type 2 (87) and it does not seem an appropriate model in this setting. In contrast, in the human SI-NET cell lines KRJ-I and H-STS in vitro everolimus and octreotide alone, each showed anti-tumoural effects, while everolimus plus octreotide caused an enhanced anti-tumoural activity (55). However, an escape feedback loop activation was encountered in KRJ-I and H-STS cells following treatment with everolimus or everolimus plus octreotide, so dual targeting with everolimus plus octreotide could not overcome the pAkt-pERK1/2-mediated escape mechanisms (55). In a clinical phase 3 trial, there was no significant superior effect of combined treatment with everolimus plus octreotide LAR versus placebo plus octreotide LAR in patients with NETs and carcinoid syndrome (48).

Combination of mTORC1 and VEGF inhibition

The preclinical rationale for the combination of mTORC1 inhibition and inhibition of VEGF signalling and its possible role to overcome resistance mechanisms has been extensively reviewed by Cella and coworkers (18). Current clinical trials with VEGFR inhibition in patients with NETs have been recently reviewed by Pavel and coworkers (76).

Other mTOR inhibitors: aspirin and metformin

AMP-activated protein kinase (AMPK) is a highly conserved key regulator implicated in cellular homeostasis, cell growth and cytoskeletal and cell death mechanisms (88). AMPK activation causes downregulation of mTOR and S6K phosphorylation and generates overall mRNA translation reduction and protein synthesis decrease, making it a possible target for anti-cancer approaches (88). In this context, metformin (89, 90, 91) and aspirin (92), as well as several other drugs like phenformin, resveratrol, berberine, statins, epigallocatechin gallate and capsaicin, have been suggested to exert anti-tumoural effects by activation of AMPK and inhibition of mTOR (93).

In the human NET cell lines BON1, GOT1 and NCI-H727 in vitro incubation with aspirin caused decreased cell viability/proliferation because of cell cycle arrest mechanisms with mTOR downstream signalling suppression (67). Preclinical in vivo data in the Rip1-Tag2 mouse model causing pancreatic NETs showed a significant inhibition of tumour proliferation by aspirin or enalapril alone, while the combination of aspirin and enalapril was the most efficient regarding tumour size reduction and prolonged overall median survival (94). An epidemiologic study reported use of aspirin as a protective factor with a risk reduction for the development of SI-NETs (HR 0.20; 95% CI 0.06–0.65, P = 0.008) (95).

In vitro incubation with metformin caused decreased cell viability/proliferation in BON1, GOT1 and H727 cells, because of cell cycle arrest mechanisms with mTOR downstream signalling suppression (96). In prospect of evaluating the possible anti-proliferative effect of metformin in combination with everolimus and octreotide LAR in well-differentiated pancreatic NET patients, a single-centre phase 2 study was designed (MetNET-1 trial, NCT 02294006) (97). First findings of the PRIME-NET study suggest that the combination of metformin with everolimus and/or somatostatin analogues can cause a clinical benefit in diabetic NET patients (98). The MetNET-2 trial (NCT02823691) was designed to evaluate the safety of metformin in combination with lanreotide in well-differentiated gastrointestinal and lung NETs (98).

GSK3

The glycogen synthase kinase 3 (GSK3), with its two isoforms alpha (GSK3-α) and beta (GSK3-β), unlike most other kinases is active in its non-phosphorylated state (99). Various studies have demonstrated an association between GSK3 deregulation and tumourigenesis (99, 100). However, as has been recently reviewed, GSK3 plays an ambiguous role as an tumour suppressor or oncogene, respectively. This has limited the use of GSK3 inhibitors in targeted therapy of cancer including GEP-NETs, so far (99) (Table 2). GSK3 is involved in various major NET pathways, such as Wnt/beta-catenin, PI3K–Akt–mTOR and Ras–Raf–MEK–ERK, Hedgehog and Notch signalling (99). Treatment with the GSK3 inhibitors CHIR99021, 6-bromoindirubin-3′oxime-, 1-azakenpaullone and siRNA enhanced the proliferative growth of rat insulinoma INS-1E cells (101). On the other hand, the non-specific GSK3 inhibitor lithium chloride showed NET growth inhibition in vitro and in vivo (102, 103). Similarly, in gastrointestinal and pulmonary tumour cell lines, dual targeting with lithium chloride and histone deacetylase (HDAC) inhibitors leads to enhanced anti-proliferative effects through GSK3 inhibition/phosphorylation and Notch-1 expression (104). Further unspecific GSK3 inhibitors such as lithium chloride, SB415286 or kenpaullone decreased cellular proliferation in different rodent insulinoma cell lines through a G2/M cell cycle arrest and apoptosis (105). Furthermore, substances such as MG-132 (106), ZM336372 (107), metformin (96) and aspirin (67) blocked NET cell growth possibly through GSK3 inhibition. Despite these promising preclinical data, a clinical phase 2 study in 15 patients with low-grade NETs treated with lithium chloride 300 mg tid p.o. caused no objective responses and a median PFS of only 4.5 months and pre- and post-treatment tumour biopsies showed no consistent GSK3-β inhibitory effects (103). This might be because of the serum levels of lithium chloride reached in humans being not sufficient to phosphorylate and inhibit GSK3 (103). Hence, preclinical and clinical studies considering more potent and specific GSK3 inhibitors need to be evaluated as possible novel targets for NETs.

Table 2

GSK3: a novel target in GEP-NETs.

Target Immunohistochemical data Gene expression/somatic mutations Substance: in vitro data Human NET cell lines Substance: in vivo data Animal model Clinical trials
GSK3 GSK-3 up- or downregulation Lithium chloride

Greenblatt et al. (102), Adler et al. (104)

MG-132

Chen et al. (106)

ZM336372

Kunnimalaiyaan et al. (107)

Metformin

Vlotides et al. (96)

Aspirin

Spampatti et al. (67)

SB415286

Desai et al. (105)

Kenpaullone

Desai et al. (105), Mussmann et al. (101)

CHIR99021

Mussmann et al. (101)

6-Bromoindirubin-3′-oxime

Mussmann et al. (101)
Lithium chloride

Lubner et al. (103)
Lithium chloride (phase 2)

Lubner et al. (103)

Hepatocyte growth factor (HGF)/c-Met signalling

The MNNG HOS transforming gene (MET) is a receptor tyrosine kinase and HGF is its ligand (108, 109). Tumour hypoxia upregulates hypoxia-inducible factors (HIFs) and induces overexpression of c-Met in tumours, while inhibition of Met expression prevents hypoxia-induced invasive growth (108, 109). c-Met is involved in tumour cell survival, invasion, motility and metastasis formation in cancers (108, 109). Upregulation of c-Met contributes to resistance of tumour cells (108, 109).

Dual targeting of VEGF and c-Met signalling has been discussed to synergistically contribute to anti-tumoural effects in pancreatic NETs in RIP-Tag2 mice (110, 111, 112). VEGF inhibition only inhibited tumour growth but increased expression of HIF-1α and c-Met activation and increased tumour invasion and metastasis (110, 111, 112). In contrast, treatment with the dual VEGFR/c-Met inhibitor cabozantinib (XL184) or the c-Met inhibitor PF-04217903 reduces invasion and metastasis (110, 111, 112). In the human NET cell lines BON1 and H727 in vitro, the highly specific c-Met inhibitor Inc280 (113, 114) did not cause inhibition of cell proliferation (115), while cabozantinib and tivantinib exhibited anti-proliferative effects in BON1 and H727 cells, most probably mediated by ‘off-target’ effects not mediated by c-Met inhibition (115).

Currently, a clinical phase 2 trial investigates the role of cabozantinib in advanced pancreatic neuroendocrine and carcinoid tumours (NCT01466036).

Ras–Raf–MEK–ERK pathway

The Ras–Raf–MEK–ERK pathway belongs to the mitogen-activated protein kinase (MAPK) pathway system, is activated by various growth factors, is involved in cell growth and cell differentiation and represents a specific pharmacological target in oncology and possible novel target for GEP-NET therapy, including clinical development of several Raf inhibitors and MEK inhibitors (116) (Fig. 1 and Table 3). Ras and Raf are considered proto-oncogenes and gains of function mutations lead to tumourigenesis and elevated cell transformation in many cancer entities (116). Cancers with activating mutations in BRAF are sensitive to Raf and MEK inhibition (116) and the BRAF inhibitors vemurafenib and dabrafenib and the MEK inhibitor trametinib have been licensed for the treatment of BRAFV600-mutated advanced melanoma (116, 117).

Table 3

Targeting the Ras–Raf–MEK–ERK pathway in GEP-NETs.

Target Immunohistochemical data Gene expression/somatic mutations Substance: in vitro data Human NET cell lines
Ras/Raf/MEK Gilbert et al. (118), Jiao et al. (13), Vijayvergia et al. (269) HRAS/KRAS/NRAS/BRAF/NF1 expression ZM336372

Kunnimalaiyaan et al. (107), Van Gompel et al. (123)

Teriflunomide

Cook et al. (124)

Raf265

Zitzmann et al. (56), Zitzmann et al. (122)

PD0325901

Valentino et al. (73)

UO126

Iida et al. (57)

However, mutations of Ras (13, 118, 119) are only very rare events in GEP-NETs with reported mutation frequencies (119) of HRas 1% (2/150), KRas 8% (10/125), NRas 0.7% (2/274) or BRaf 1% (4/369). Neurofibromatosis (NF) type 1 is occasionally associated with the development of pancreatic NETs (120). NF type 1 is classified as a RasOpathy, as Ras–MAPK signalling is affected by mutations of the NF1 gene, encoding neurofibromin as an RAS GTPase-activating protein (121).

Preclinical in vitro studies in NET cells demonstrated that not only Raf inhibitors (56, 122) and MEK inhibitors (57, 73) but instead also Raf-1 activators (107, 123, 124, 125) might be of interest as potential target as has been extensively reviewed by Fazio and coworkers (37, 126). In BON1 cells, stable transfection with an oestrogen-inducible Raf-1 construct (BON1-raf cells) caused an induction of MEK and ERK 1/2 signalling (127), induction of focal adhesion kinase (FAK) by an MEK/ERK1/2-dependent pathway (128) and decreased CgA expression by an MEK/ERK1/2/FAK-dependent pathway (127, 128) and decreased cell adhesion and downregulation of beta-catenin by an MEK-dependent pathway (128, 129). ATP-competitive Raf inhibitors exert opposing functions as inhibitors or activators of MAPK signalling, depending on the BRAF mutational status of the tumour cell (130). While in BRAF-mutated cancer cells, ATP-competitive Raf inhibitors inhibit downstream MAPK signalling, in RAS/RAF wild-type tumour cells, ATP-competitive RAF inhibitors paradoxically activate MAPK signalling (130). In non-neuroendocrine cells (131) and in human BON1 tumour cells (107), the ATP-competitive Raf-1 inhibitor ZM336372 has been reported to cause upregulation of Raf-1 at the transcriptional level. Treatment of BON1 tumour cells with ZM336372 caused induction of phosphorylation of Raf-1, MEK and ERK1/2 (123), upregulation of p21 and p18 (123), suppression of cell proliferation (123) and reduced expression of NET markers CgA and achaete-scute complex-like 1 (ASCL1) (123). However, ZM336372 in BON1 cells also inactivates GSK3 at an Raf–MEK-independent pathway (107) and ZM336372-induced reduction of CgA and ASCL1 expression has been shown to be mediated by an Raf–MEK-independent pathway (107); thus, the observed Raf-1 induction might not be essential for the anti-tumoural effects of ZM336372. The Raf-1 activator teriflunomide has also been reported to show anti-proliferative effects in BON1 cells alone (124) and in combination with pasireotide (125).

The Ras–Raf–MEK–ERK pathway is a highly complex network interacting with other crucial cellular pathways such as the PI3K–Akt–mTOR pathway (65). Inhibition of mTORC1 causes compensatory upregulation of the MAPK pathway (132, 133, 134), and dual horizontal inhibition of the mTORC1 and MAPK signalling has additive anti-tumoural effects in cancer cells. In NET cells in vitro, the Raf inhibitor Raf265 has been demonstrated to have anti-proliferative activity (56, 122). Zitzmann and coworkers reported compensatory feedback loops on PI3K–Akt–mTOR pathway, when Raf–MEK–ERK signalling was inhibited in human NET cell lines (56). Combination of the mTORC1 inhibitor everolimus or the mTOR/PI3K inhibitor NVP-BEZ235 with the Raf inhibitor Raf265 was able to suppress Raf265-induced feedback mechanisms on pAkt and exerted enhanced anti-proliferative effects in comparison to single-substance treatment (56). Also synergistic effects of co-targeting the PI3K–Akt–mTOR and Ras–Raf–MEK–ERK pathway were obtained with the PI3K inhibitor BKM120 and the PI3K/mTOR inhibitor BEZ235 in combination with the MEK inhibitor PD0325901 in human neuroendocrine BON1, H727 and QGP1 cells in vitro and a BON1 xenograft model in vivo (73) and with the mTOR inhibitor RAD001 and the MEK inhibitor UO126 in human neuroendocrine NCI-H727 and COLO320 cells (57).

As controversial effects of Ras–Raf–MEK–ERK inhibition/activation on cancers seem to depend on the tumour cell type specific context (126), further investigation of the possible benefits or problems of Ras–Raf–MEK–ERK signalling manipulation in GEP-NETs is still required.

Pathways important not only during embryogenesis

Hedgehog signalling

The hedgehog (Hh) signalling pathway is implicated in a vast variety of biological processes reaching from embryogenesis to adult-tissue homeostasis and tumourigenesis. Misregulation of hedgehog signalling provokes numerous human disorders including tumourigenesis (135, 136) (Fig. 1).

Inhibitors of the Hh pathway, primarily Smo inhibitors, as vismodegib (GDC-0449), BMS-833923, saridegib (IPI-926), sonidegib/erismodegib (LDE225), PF-04449913, LY2940680, LEQ 506 and TAK-441 are in clinical development for cancer therapy (137, 138). Vismodegib is the first-in-class hedgehog pathway inhibitor licensed for metastatic or locally advanced basal cell carcinoma (139) and Gorlin–Goltz associated basal cell cancer (140). Further second-generation inhibitors of Hh signalling acting downstream of Smo are in development (137).

In GEP-NETs, embryological pathways like Hh are activated (141). Expression of sonic hedgehog (SHH) and one of its downstream targets Snail has been reported in 53% (16/30) of SI-NETs (142). Protein expression of the SHH receptor PTCH1 was found in 55% (12/22) of sporadic pancreatic NET tumour samples and in 80% (4/5) of MEN1-associated tumours patients (143). Expression levels of Ptch1 were not predictive for clinical outcome (143). Duodenal gastrinomas and associated metastases showed in 100% (15/15) Shh expression, whereas no Shh expression was detected in pancreatic gastrinomas (144). In gastrointestinal NECs, Hh downstream target Gli1 expression was upregulated and IHC analysis showed 100% positive staining for Gli1 in NECs (12/12), whereas only 1/7 adenocarcinoma was positive for Gli1, indicating the importance of Hh signalling in NEC formation (145). In vitro treatment with the Hh inhibitor cyclopamine caused Gli1, Ptch1, Snail and hASH1, mRNA levels to get downregulated (145). Permanent activation of Smo caused clonogenicity of SCLC in vitro, as well as the initiation and progression of mouse SCLC in vivo; additionally, pharmacological blockade of Hh signalling inhibited SCLC growth in vivo and in vitro after chemotherapy (146). In the multiple endocrine neoplasia type 1 (MEN1) tumour syndrome, an enhanced Hh signalling causes proliferation of pancreatic beta cells and susceptibility to pancreatic islet tumour formation (147). Functional menin blocks Hh signalling via PRMT5-mediated epigenetic suppression of the Gas1 gene (147), an important enhancer of the Hh signalling (148). Inhibition of Gli1 by the inhibitor GANT-61 caused decreased expression of Gli1 and its target genes in MEN1-depeleted cells (149). Thus, non-functional menin engenders Gas1 expression and thereby foments pro-proliferative and oncogenic Hh signalling, suggesting Menin/PRMT5/hedgehog signalling as a potential target for MEN1 treatment (147, 150).

The Smo antagonist cyclopamine (151, 152) effectively downregulated Hh target genes and suppressed cell proliferation in a murine Rip-Tag2 model of islet cell tumours (153) and in human NEC cells (145). Similarly, treatment with the orally bioavailable Smo antagonist sonidegib (LDE225) in the murine Rip-Tag2 model of islet cell tumours caused downregulation of HH downstream targets, tumour volume reduction of 95% and prolonged median overall survival (154). Also in GOT1, human small intestine NETs in nude mice treatment with sonidegib (LDE225) inhibited tumour growth (155). Sonidegib (LDE225) is currently licensed for the treatment of advanced basal cell carcinoma of the skin. A phase 1 trial to evaluate the safety and tolerability of LDE225 and octreotide LAR in patients with progressive NETs (AIO-NET-0114://www.aio-portal.de/index.php/175.html) has been closed.

Notch-1 signalling

The Notch-1 signalling pathway is a highly conserved embryonic pathway that is important in juxtacrine signalling between neighbouring cells, regulates cell proliferation and cell differentiation and has been demonstrated to play an essential role in tumourigenesis and maintenance of cancer stem cells (CSCs) (136) (Fig. 1). The role of Notch-1 signalling in NETs has been reviewed recently by Crabtree and coworkers (156).

The role of Notch-1 signalling in tumourigenesis is paradoxical and dependent upon the specific cancer cell type context, as Notch-1 has been demonstrated to function either as a tumour suppressor or as an oncogene, respectively (157, 158, 159, 160, 161, 162):

Preclinical studies in human pancreatic carcinoid BON1 and bronchopulmonary carcinoid H727 tumour cells have demonstrated upregulation of Notch-1 expression to cause subsequent downregulation of the achaete-scute complex-like 1 (Ascl1) protein, inhibit the secretion of neuroendocrine markers and 5-hydroxytryptamine and inhibit tumour cell proliferation (166, 167, 168). In human carcinoid tumour samples, the Notch downstream target Ascl1 protein was overexpressed compared with surrounding normal tissue (169). Stable transfection of Notch-1 into pancreatic carcinoid BON1 cells reduces Ascl1 expression probably because of degradation (170), inhibits tumour cellular proliferation and decreases secretion of neuroendocrine markers as neuron-specific enolase, synaptophysin, chromogranin A, represses tryptophan hydroxylase 1 expression and decreases serotonin and 5-hydroxytryptamine secretion (166, 169). Ascl1 has been demonstrated to negatively regulate tryptophan hydroxylase 1 expression in BON1 cells (171), the rate limiting enzyme in the biosynthesis of serotonin (171).

The HDAC inhibitor valproic acid (VPA) activated Notch-1, blocked Ascl1 expression, lowered CgA expression, suppressed cell growth and caused cell cycle arrest because of a p21 and p27 increase and a cyclin D1 degradation in neuroendocrine gastrointestinal and pulmonary carcinoid cells in vitro (172). In addition, VPA also suppressed growth of carcinoid tumours in vivo in a mouse tumour xenograft (172). Similarly, VPA also activated Notch-1, blocked Ascl1 expression, decreased CgA expression and inhibited cell growth inhibition in SCLC tumour cells in vitro (173). Combination of the HDAC VPA and the GSK3 inhibitor lithium activated Notch-1 signalling and inactivated GSK3 activity in human NET cells in vitro and caused synergistic anti-proliferative effects (104). In a clinical phase 2 study, eight patients with low-grade NETs were treated with VPA. Notch-1 signalling was absent in pretreatment tumour samples and upregulated following VPA treatment. Best response during VPA treatment was stable disease in 50% (4/8) of the patients (174).

The grape antioxidant resveratrol has demonstrated to exhibit characteristics relevant for anti-cancer strategies (175). Resveratrol was identified and validated as a Notch-1 pathway activator by a novel high-throughput screening method (167). In human neuroendocrine BON1 and H727 cells in vitro, resveratrol induced functional Notch-2 signalling, decreased ASCL1 protein expression, increased expression levels of p21 and cdc2, induced cell cycle arrest and inhibited tumour cell growth in vitro (167). In addition, resveratrol also suppressed growth of H727 carcinoid tumours in vivo in a mouse tumour xenograft (167). In a current clinical trial (NCT01476592), the biological effects of resveratrol in Notch-1 signalling in patients with low-grade gastrointestinal tumours were analysed.

The marine-derived Notch-1 signalling activator thiodepsipeptide thiocoraline showed Notch-1 downstream target activation and caused cell cycle arrest in BON1 and H727 cells in vitro (176). Also in a BON1 xenograft model, thiodepsipeptide thiocoraline demonstrated anti-tumoural efficacy (176).

Wnt/beta-catenin

The Wnt/beta-catenin signalling pathway has been extensively reviewed by others (136, 176) (Fig. 1).

The Wnt/beta-catenin signalling pathway is aberrantly regulated in many cancers including colorectal adenocarcinoma, resulting in constitutively active beta-catenin signalling (177). Loss of function in APC or Axin and beta-catenin gain of function mutations prevent its phosphorylation and/or degradation and lead to constitutive Wnt/beta-catenin signalling, which is frequent in colorectal cancer and other tumours (177).

In NET tumour samples, cytoplasmic and nuclear beta-catenin accumulation indicating Wnt/beta-catenin signalling activation has been reported in 16% (1/12 GI carcinoids and 1/6 bronchial carcinoids) (178). In ileal neuroendocrine neoplasms, the APC gene was deleted in 15% (4/27) and somatic mutations of the APC gene were detected in 23% (7/30) of examined tumour samples, including 57% missense and 14% nonsense/frameshift mutations (179). Loss of APC function was not found to be a negative predictive marker in this small cohort (179). Low-grade NETs are sporadically observed in patients with familial adenomatous polyposis; high nuclear levels of beta-catenin give evidence for a possible pathogenic role of the adenomatous polyposis coli/beta-catenin pathway in these NETs (180).

Controversial data contradicting the classical role of Wnt/beta-catenin in tumourigenesis have been reported from an in vitro study with rodent islet tumour cell lines TGP-61 and InR1G9 (181). In this model, menin has been reported to be crucial for canonical Wnt/beta-catenin signalling and activation of the Wnt/beta-catenin signalling pathway to inhibit islet tumour cell proliferation (181). In contrast, menin has been reported to be important for phosphorylation of beta-catenin, and in MEN1-deficient knockout mice, beta-catenin signalling is activated in pancreatic NETs (182). Conditional beta-catenin knock out in MEN1-deficient knockout mice decreased tumourigenesis of pancreatic NETs (182).

In human pancreatic carcinoid BON1 cells, in vitro re-expression of the negative regulators of the Wnt/beta-catenin pathway (e.g., SFRP-1, Axin-2, DKK-1, DKK-3 and WIF-1) was significantly induced by the DNA methyltransferase inhibitor 5-AZA-CdR (178). Transfection of several inhibitors of the Wnt/beta-catenin pathway, e.g., SFRP-1, DKK-1 and WIF-1, in BON1 cells inhibited colony formation by 40–60% (178). These findings suggest that epigenetic silencing of the Wnt/beta-catenin pathway through upregulation of negative regulators or active inhibition of the Wnt/beta-catenin pathway can cause anti-proliferative effects in BON1 cells (178). In silico analyses of the intestinal hormone neurotensin promoter showed that at least four consensus of TCF-binding elements and a Wnt signal lead to augmented secretion and intracellular accumulation of neurotensin in BON1 and QGP1 cell lines (183, 241). While Wnt/beta-catenin pathway activation induces transcriptional expression of neurotensin, the selective Wnt inhibitor iCRT3 decreased neurotensin and cyclin D1 expression levels in BON1 cells (183). On the other hand, neurotensin has been shown to promote BON1 cell growth in vitro, and this indicates neurotensin as a direct target of the Wnt/beta-catenin signalling pathway which might function as a pivotal mediator in NET growth (183).

Downregulation of the Wnt inhibitor Dick-kopf-1 (DKK-1) and subsequent Wnt signalling activation promoted tumourigenesis in an NET model in vivo and caused tumour cell survival, proliferation and invasiveness (184).

Pharmacological inhibition of the Wnt/beta-catenin pathway by small-molecule inhibitors as PRI-724, CWP232291, LGK974, Foxy-5 and monoclonal antibodies as OMP-54F28, OMP-18R5 or OTSA 1010 has entered clinical phase 1 studies in oncology (185, 186, 187). Several other compounds are in preclinical development (185, 186, 187). Targeting the Wnt/beta-catenin pathway in NETs seems worth to be investigated in preclinical and clinical trials in the future.

TGF-beta signalling and SMAD proteins

The TGF-beta superfamily encompasses TGF-beta proteins and bone morphogenetic proteins. TGF-beta signalling is mediated by transforming growth factor-beta receptors 1 and 2 and intracellular SMAD proteins (188).

Gilbert and coworkers demonstrated by IHC analysis a high expression level of transforming growth factor-beta receptor 1 (TGFBR1) with intensity score 3 in 74% and intensity scores 2 and 3 in almost 100% of pancreatic NETs (118) and with intensity score 3 in 28% and intensity scores 2 and 3 in almost 100% of GI-NETs (189). SMAD genes have been demonstrated to be often mutated or deleted in SI-NETs in approximately 45% (22/48 tumours) (11).

The putative therapeutic potential of TGF-beta signalling in GEP-NETs is very difficult to predict as TGF-beta signalling has demonstrated discrepant results with tumour growth inhibition as well as tumour growth activation in different preclinical GEP-NET models, as has been extensively reviewed by Kidd and coworkers (190).

Tumour suppressors and the cell cycle

p53

The TP53 gene encodes p53 an important tumour suppressor transcribing a network of genes including p21 and being implicated in DNA repair, cell growth arrest or cell senescence, apoptosis and autophagy (191, 192). Mutations of the TP53 gene with loss of function concerning its tumour suppressor role as well as reduced functional p53 protein expression because of changes in p53 modulators are existent in many cancers and contribute to malignant progression (191, 192, 193).

The most recognised modulators of p53 expression are wild-type p53-induced phosphatase 1 (WIP1), murine double minute (MDM2) and murine double minute X (MDMX) (194, 195). The MDM2 gene encodes an E3 ubiquitin ligase that generates the ubiquitination of p53 resulting in its proteasomal degradation (194, 195). The WIP1 dephosphorylates and thereby inactivates upstream activators like ATM, CHK1 and CHK2 and p53 itself and stabilises the p53 inhibitor MDM2 by dephosphorylating it at Ser 395 (196). Ataxia telangiectasia mutated kinase (ATM) mediates DNA damage response-induced activation of p53 (197, 198). ATM also regulates together with WIP1 the phosphorylation of DAXX protein (198), while DAXX itself is not involved in p53 expression and p53 downstream signalling (198).

High expression of ATM expression in pancreatic NETs is associated with higher tumour differentiation, lower tumour size, lower recurrence rate and better prognosis (199), while loss of ATM expression is common in metastasized disease and is associated with worse prognosis (200). Loss of p53 and Rb in different mouse models caused development of pancreatic NETs (201, 202). PHLDA3, a target gene of p53, competes with Akt for binding to membrane lipids inhibiting Akt translocation and activation. Loss of PHLDA3 increases Akt activity and decreases p53-dependent apoptosis, revealing the tumour-suppressive role of PHLDA3 and the link between p53 and Akt signalling (203). PHLDA3 has also been shown to be a tumour suppressor in pancreatic NETs (204).

Mutations of the TP53 gene encoding p53 protein are rare in GEP-NETs and have been reported only in 1% (1/89) (205) to 3% (13). However, Hu and coworkers (206) observed a high rate of copy number gains of MDM2 in 22%, MDM4 in 40% and WIP1 in 51% of pancreatic NETs. Therefore, inhibition of p53 modulators as MDM2 and induction of re-expression of p53 wild-type in GEP-NETs might be a promising therapeutic strategy (207) and should be investigated. Unfortunately, the majority of available GEP-NET cell lines do not reflect the wild-type TP53 status (208) or have not been assessed so far, making it difficult to estimate possible targets in those cell lines and thus limiting the possibilities for a transferable in vitro drug assessment (209).

Possible therapeutic strategies in oncology to re-induce wild-type p53 expression and function reach from p53 activator stimulation to a possible inhibition of its negative regulators such as MDM2 inhibitors (207, 210), MDM4 inhibitors (211) and WIP1 inhibitors (212). Preliminary data in human NET cell lines in vitro have been reported, demonstrating MDM2 inhibition to be a potential novel target in p53-wild-type NETs. In the human SI-NET cell line KRJ-I, the MDM2 inhibitor nutlin-3 caused upregulation of p21 and inhibition of cell proliferation (209). In the human SI-NET cell line GOT1, the MDM2 inhibitor NVP-CGM097 caused upregulation of p53 and p21 and inhibition of cell proliferation (208). Furthermore, NVP-CGM097 showed additive effects with 5-fluorouracil on cellular survival decrease because of enhanced downregulation of the p53-p21-Rb-E2F1 cascade in the p53 wild-type NET cell line GOT1 (208).

Based on current findings (198, 206, 213) (Table 4), future preclinical studies should also evaluate the putative correlations of expression patterns of WIP1, ATM and DAXX phosphorylation status in GEP-NETs, as well as the putative role of novel WIP1 inhibitors on P53-p21-Rb activity and DAXX phosphorylation status in GEP-NETs.

Table 4

Novel targets of p53 signalling, the CDK4/6-Rb-E2F axis and p27 signalling.

Target Immunohistochemical data Gene expression/somatic mutations Substance: in vitro data Human NET cell lines Substance: in vivo data Animal model Clinical trials
p53 Casanovas et al. (201), Glenn et al. (202), Shin et al. (199), Lee et al. (200), Kawase et al. (270), Ohki et al. (204), Grabowski et al. (205), Jiao et al. (13) TP53/PHLDA3 loss of function mutation; ATM expression; MDM2 gene amplification Nutlin-3

Briest et al. (271)

NVP-CGM097

Reuther et al. (208)
CDKs and Rb Gillam et al. (224), Tang et al. (225) CDK4/pRb1/CyclinD1 upregulation; CDK4/CDK6 gene amplification Palbociclib

Tang et al. (225)

LEE011

Aristizabal Prada et al. (227)
ZK 304709

Scholz et al. (226)

Palbociclib

Tang et al. (225)
LEE011 (phase 2)(NCT02420691)

Palbociclib (Phase 2)(NCT02806648)
p27 Pellegata et al. (229), Lee et al. (230), Francis et al. (12), Karpathakis et al. (231), Crona et al. (232), Circelli et al. (233), Kim et al. (234), Thakker et al. (272) CDKN1B mutation

CDKs and Rb

The family of cyclin-dependent kinases (CDKs) encompasses 20 members (214) which catalyse the phosphorylation of key proteins and transcription factors implicated in cell cycle transition (215).

CyclinC-CDK3, CyclinD-CDK4 and CyclinD-CDK6 regulate in quiescent cells the G0–G1 transition and the early G1 phase in proliferating cells by phosphorylating the tumour suppressor retinoblastoma protein pRb and thus activating E2F (216) (Fig. 1).

CDKs and their regulators are often misregulated in cancer cells and become unable to accomplish properly their cell cycle, transcription and/or proliferation controlling role (217, 218). The CDK4–cyclin D–Rb–E2F cascade is aberrant in many cancers, including GEP-NETs (214, 219, 220) (Table 4). The oral selective CDK4/6 inhibitor palbociclib (PD0332991) in combination with fulvestrant has been approved as first-in-class drug for the treatment of ER-positive, HER2-negative breast cancer (214, 221, 222). Other CDK4/6 inhibitors as ribociclib (LEE011) and abemaciclib (LY2835219) are in clinical development (214, 219, 220, 223).

While Men1(+/−) as well as Men1(+/−); Cdk2(−/−) mice develop pituitary and pancreatic NETs, Men1(+/−); Cdk4(−/−) mice do not (224). These data indicate CDK4 to be essential for tumourigenesis of pancreatic NETs (224). In 92 tumour samples of human pancreatic NETs, overexpression of CDK4 and phospho-Rb1 was detected in 58% and 68%, and the respective expression levels were positively correlated with each other (225). Gene amplifications of CDK4 or CDK6 were found in 19% (5/26) investigated tumour samples (225). In an orthotopic BON1 xenograft model, the multi-inhibitor ZK 304709 (CDK1, 2, 4, 7 and 9, VEGFR, PDGFR) caused significant anti-tumoural effects by induction of apoptosis and inhibition of angiogenesis (226). Investigation of CDK gene copy numbers in BON1, H727 and QGP1 human NET cell lines revealed H727 cells to harbour three copies and QGP1 cells to harbour six copies of the CDK4 gene (225). In an orthotopic BON1 xenograft model, the multi-inhibitor ZK 304709 (CDK1, 2, 4, 7 and 9, VEGFR, PDGFR) caused significant anti-tumoural effects by induction of apoptosis and inhibition of angiogenesis (226). The CDK4/6 inhibitor Palbociclib (PD0332991) reactivated Rb1, induced G1 cell cycle arrest and inhibited tumour cell growth in BON1 and QGP1 cells in vitro and also showed anti-tumoural activity in a QGP1 xenograft model in vivo (225). The CDK4/6 inhibitor ribociclib (LEE011) decreased tumour cell proliferation in BON1, QGP1 and H727 cells, through dephosphorylation of Rb and a subsequent G1 phase cell cycle arrest in vitro (227). LEE011 was ineffective in GOT1 cells, and treatment sensitivity towards LEE011 was associated with high expression of cyclin D1 and Rb (227). Combination treatment of LEE011 and 5-fluorouracil or everolimus showed a significant enhancement in the inhibition of cell viability when compared to single-substance treatments because of PI3K–Akt–mTOR and Ras–Raf–MEK–ERK pathway downregulation and cooperative downregulation of cell cycle components (227). However, LEE011 also exhibited antagonising effects with 5-fluorouracil, protecting NET cells from the DNA-damaging effects of chemotherapy (227). Hence, the efficiency of a dual targeting approach with LEE011 and chemotherapeutic agents in NETs remains to be assessed in the clinic (227). Clinical phase 2 trials of Ribociclib (LEE011) (NCT02420691) and Palbociclib (PD0332991) (NCT02806648) in patients with NETs are currently recruiting patients (76).

p27

The CDK inhibitor p27 (also known as KIP1) is encoded by the CDKN1B gene and regulates the transition from cell cycle phase G0/G1 to S and is implicated in cellular processes like proliferation, motility and apoptosis (228).

Pellegata and coworkers (229, 230) first described mutations in CDKN1B gene causing a p27 deficiency and a new MEN-like phenotype in rats and humans, further on named MEN-4 (MENX) syndrome (229, 230). CDKN1B gene mutations in MEN-4 (MENX) syndrome predominantly cause pituitary and parathyroid tumours (229, 230).

Exome and genome analyses of SI-NETs identified frameshift mutations in the CDKN1B gene in 8% (14/180) and deletions in 15% (7/50) (12); thus, the CDKN1B gene constitutes the most commonly mutated gene in SI-NETs (231). Another large cohort study with SI-NET tumour samples also demonstrated mutations in the CDKN1B in 8.5% (17/200) (232). However, neither a correlation between CDKN1B mutation status and p27 protein expression level nor between clinical characteristics of CDKN1B mutated and CDKN1B wild-type tumour patients could be encountered (232). Because of these data, CDKN1B has been suggested a potential haplo-insufficient tumour suppressor gene in SI-NETs (232). In 55 MEN1 patients, the single nucleotide polymorphism V109G in the CDKN1B gene was detected in 44% (24/55) of the patients (233). The SNP V109G CDKN1B gene was significantly correlated with a faster development of aggressive MEN1-related tumours (233). The expression level of p27 turned out to be subtype (WHO class) specific and in combination with Cyclin-E expression, a correlation of low p27 expression and overexpression of cyclin E was found to play a role in the aggressiveness in GEP-NETs (205). In an analysis of 327 GEP-NET tumour samples, loss of p27 protein expression which occurred in 21% was a predictor of poor overall survival and poor prognosis (234).

Currently, there are no established drugable targets to reactivate or increase p27 expression in cancers, respective GEP-NETs (Table 4). The E3 ubiquitin ligase S-phase kinase-associated protein 2 (Skp2) is an important mediator of ubiquitination of various proteins including p27, rendering them to subsequent proteasomal degradation. Small-molecule inhibitors of the E3 ubiquitin ligase Skp2 (235) might be a promising future therapeutic approach in cancer (236, 237) and then might also be worth to be investigated in GEP-NETs.

Other important pathways

Hsp90

The heat shock protein 90 (Hsp90) is a highly conserved and essential component of the molecular chaperone family (238). The central function of Hsp90 is the proper folding, maturation and the structural integrity regulation of an enormous subgroup of proteins that are involved in major cellular processes, such as cell cycle regulation, cellular proliferation and apoptosis (238). Heat shock proteins are overexpressed in various cancers, and their overexpression is a negative prognostic indicator of therapeutic resistance and poor survival (239). Hsp90 inhibitors cause misfolding and consequent ubiquitination and proteasomal degradation of client proteins and are currently in clinical development (238, 240).

Gilbert and coworkers demonstrated by IHC analysis a high expression level of Hsp90 with intensity scores 2 and 3 in almost 100% of pancreatic NETs (118) and with intensity score 3 in 74% and intensity scores 2 and 3 in almost 100% of GI-NETs (189). The Hsp90 gene was amplified in 10% (5/48) patients in SI-NETs (11).

In vitro assays with various human NET cell lines showed anti-proliferative effects of several Hsp90 inhibitors as AUY922 (241), HSP990 (241), IPI-504 (242) and 17-(allylamino)-17-demethoxygeldanamycin (17-AAG) (118, 189). The Hsp90 inhibitors AUY922 and HSP990 inhibited cell proliferation of human BON1, H727 and GOT1 NET cells and the inhibitory effects were shown to be associated with decreased ErbB and IGF-1 receptor expression as well as decreased Erk and Akt phosphorylation levels (241). The Hsp90 inhibitor IPI-504 inhibited in NET cell proliferation of human BON1 and CM NET cells and inhibited client targets from the PI3K–Akt–mTOR pathway and decreased levels of IGF-1 receptor expression (242). Combination of the Hsp90 inhibitor IPI-504 with mTOR or AKT inhibitors caused synergistic anti-tumoural effects (242). The Hsp90 inhibitor 17-(allylamino)-17-demethoxygeldanamycin (17-AAG) significantly blocked proliferation in bronchopulmonary NET cell lines NCI-H727, NCI-H720 and NCI-H835 and in pancreatic NET cell line QGP-1 and induced a loss of EGFR, IGF1R and VEGFR2 (118, 189).

Aurora kinase

Aurora kinases are serine–threonine kinases playing an important role in the regulation of mitosis and include aurora kinase A (AURKA), auroras kinase B (AURKB) and aurora kinase C (AURKC) (243). Overexpression of either Aurora kinase can lead to tumourigenesis and is evidenced in many human cancers and propose new possible targeting strategies (243).

AURKA regulates several proteins important in carcinogenesis, as for example aurora kinase A inhibits p53 transactivation (244), activates MDM2 and enhances p53 proteasomal degradation (244), inhibits GSK3-β and enhances β-catenin activity, and activates SRC and promotes cancer cell invasion (243).

Aurora kinase inhibitors such as alisertib (MLN8237), danusertib (PHA-739358), MK-5108 (VX689) and ENMD-2076 are in clinical development (243).

The AURKA gene has been demonstrated to be often amplified in SI-NETs in approximately 19% (9/48) (7). AURKA protein expression has been found in 95% (41/43) of the GEP-NET tumour samples (245).

The aurora kinase inhibitor ZM447439 inhibited cell proliferation of human NET cells BON1, QGP1 and MIP-101 and showed synergistic anti-proliferative effects with streptozocin and cisplatin (246). The aurora kinase inhibitor danusertib (PHA-739358) inhibited cell proliferation of human pancreatic NET cells BON1 and QGP1 in vitro and in a murine orthotopic xenograft model (245).

HDAC

HDAC inhibitors are epigenetic modulators (247) and several HDACs such as vorinostat (SAHA), belinostat (PXD101), panobinostat (LBH-589) and romidepsin (FK228 and FR901228) have been licensed (248), while others such as entinostat (SNDX-275) are under clinical development (249). HDAC inhibitors are of great interest for anti-cancer drug development (250).

Epigenetic changes in NETs have recently been extensively reviewed by Karpathos and coworkers (251) including aberrant methylated loci, chromatin remodelling and miRNA expression patterns. Aberrant methylated loci in NETs have been described for DKN2a/P16INK4a, RASSF1, TIMP3, MGMT, hMLH1, P16, APC, CTNNB1, HIC1, E-cadherin, RARβ, MEN1, VHL, PTEN, P14, GATA5, ESR1, GST, RUNX3, P14, THBS1, RAR (RARA), P73 (TP73), WT1, CDH13 and CIMP status, respectively (251). Differential epigenetic changes have been shown to be mediated by DAXX or ATRX gene mutations (15) and MEN1 gene mutations (252, 253) in NETs.

Based on the role of epigenetic changes in GEP-NETs, treatment with HDAC inhibitors might be promising. Preclinical in vitro models demonstrated dose-dependent inhibition of cell proliferation and induction of apoptosis and cell cycle arrest in GI-NET cell lines CM and BON1 treated with the HDAC inhibitors trichostatin A, sodium butyrate (NaB) and MS-275, respectively (254). VPA is also an HDAC inhibitor and has shown Notch-1 activation and anti-tumoural effects in preclinical NET models (104, 172, 173) (for review, see the aforementioned chapter on Notch-1 signalling). In addition, VPA has also been demonstrated to increase somatostatin receptor subtype 2 expression in NET cells (255).

In contrast to a mechanistic rationale and promising preclinical results with HDAC inhibitors in NETs, the clinical development in NETs has not been successful so far, as reviewed by Karpathakis and coworkers (251). A clinical phase 2 trial with depsipeptide in NET patients was terminated because of cardiac toxicity (256). Two clinical phase 2 trials with panobinostat (LBH589) in low-grade NETs demonstrated only stable disease as the best response with a median PFS of 9.9 months (257). A clinical phase II study in patients with low-grade NETs of the HDAC inhibitor VPA demonstrated only stable as the best response (174). Our increasing knowledge and understanding of the epigenetic modifications in NETs (251) might help us to improve this therapeutic strategy in the future.

Src

Src is a proto-oncogene belonging to the Src kinase family (258). Inhibitors of the SRC family of tyrosine kinases (SFK) such as dasatinib, bosutinib or sarcatinib (AZD0530) have been explored in other haematologic and solid tumours (258).

CSCs have been identified as a novel important putative target for medical therapy in the oncological field (259, 260), including CSCs from NETs (141, 261, 262). Embryonic pathways such as Src, Hedgehog (136), Notch-1 (136), Wnt–beta-catenin (136) and transforming growth factor-β have been suggested to be important players in this field (141, 261, 262). Human NET CSCs have been identified with the Aldefluor (Stemcell Technologies, Vancouver, Canada) assay as aldehyde dehydrogenase-positive (ALDH+) cells (262). Sorting the human midgut carcinoid cell line CNDT2.5, CNDT2.5 ALDH+ cells formed in vitro tumour spheres, whereas CNDT2.5 ALDH− cells did not (262). In a xenograft model, CNDT2.5 ALDH+ cells caused more aggressive tumour growth in comparison to CNDT2.5 ALDH− cells (262). Src expression was increased in ALDH+ cells and treatment of ALDH+ tumours with anti-Src short interfering RNA reduced tumour mass by 91% (262).

In human NETs, Src has been found to be often amplified in approximately 23% (11/48 tumours) of all SI-NETs investigated (11).

In human neuroendocrine pancreatic QGP1, BON1 and CM cells in vitro, expression levels of activated p-Src (Tyr 416) and activated downstream targets of mTOR, namely p4EBP1 and p-rpS6 correlated positively (263). Treatment of QGP1 and BON1 cells with the SFK inhibitor PP2 or RNAi depletion of endogenous Src deactivated the mTOR pathway downstream targets 4EBP1 and rpS6 indicating an interaction between Src and mTOR signalling in GEP-NETs (263).

These preclinical findings suggest an important role for Src and possibly other members of the Src family of tyrosine kinases (SFK) as possible target in the treatment of GEP-NETs alone or in combination with mTOR inhibitors as has been extensively reviewed by Capurso and coworkers (264).

FAK

The non-receptor tyrosine kinase FAK is a scaffolding protein interacting with growth factors and integrins and regulating Src and PI3K–Akt signalling (265). FAK is overexpressed and hyperphosphorylated in pancreatic NETs (59). FAK has also been shown to be involved in cellular adhesion and migration in the BON1 carcinoid cell line in vitro (128). The FAK inhibitor PF-04554878 inhibited pancreatic NET proliferation in an orthotopic xenograft mouse model and showed synergistic anti-tumoural effects in combination with everolimus (59). Another FAK inhibitor OXA-11 inhibited pancreatic NET liver metastases in the Rip-Tag2 transgenic mice model alone and synergistically together with the anti-VEGFR-2 antibody DC101 (266).

Conclusion

A number of promising novel molecular targets defined by preclinical and early clinical studies in NETs of the GEP system are discussed in this review in order to provide the translational as well as the clinical researcher with a comprehensive overview of the current status of the field. Combinational treatment approaches with ‘dual horizontal targeting’ of different signalling pathways or ‘dual vertical targeting’ of the same pathway at different points in the signalling cascade represent powerful tools to enhance anti-tumour efficacy and to overcome resistance mechanisms. However, dual-targeted therapy in clinical trials has so far often been limited by increased toxicity and side effects. Promising novel molecular targeting approaches to become translated into clinical treatment of NETs of the GEP system in the future might include strategies to target the CDK4/6-Rb-E2F axis or GSK3 signalling, as well as targeted upregulation of the tumour suppressor p53 or epigenetic modulation of various target genes. Future translational research is required to further improve our understanding of tumour biology and to translate preclinical data into clinical treatments strategies in NETs of the GEP system.

Declaration of interest

C J A has received research contracts (Ipsen, Novartis), lecture honorarium (Ipsen, Novartis, Pfizer, Amgen, Roche, Falk) and advisory board honorarium (Novartis). The authors declare that there is no conflict of interest that would prejudice the impartiality of this scientific work.

Funding

E T Aristizabal Prada has received a scholarship from FAZIT-Stiftung (http://www.fazit-stiftung.de).

Acknowledgements

The authors want to acknowledge G Spöttl and J Maurer for bibliographic editorial assistance. This manuscript was edited for proper English language, grammar, punctuation and spelling by editors of www.proof-reading-service.com.

References

  • 1

    Frilling A, Modlin IM, Kidd M, Russell C, Breitenstein S, Salem R, Kwekkeboom D, Lau WY, Klersy C & Vilgrain V et al. Recommendations for management of patients with neuroendocrine liver metastases. Lancet Oncology 2014 15 e8e21. (https://doi.org/10.1016/S1470-2045(13)70362-0)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2

    Pavel M, O’Toole D, Costa F, Capdevila J, Gross D, Kianmanesh R, Krenning E, Knigge U, Salazar R & Pape UF et al. ENETS Consensus Guidelines Update for the management of distant metastatic disease of intestinal, pancreatic, bronchial neuroendocrine neoplasms (NEN) and NEN of unknown primary site. Neuroendocrinology 2016 103 172185. (https://doi.org/10.1159/000443167)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3

    Auernhammer CJ, Goke B. Therapeutic strategies for advanced neuroendocrine carcinomas of jejunum/ileum and pancreatic origin. Gut 2011 60 10091021. (https://doi.org/10.1136/gut.2009.204453)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4

    Garcia-Carbonero R, Sorbye H, Baudin E, Raymond E, Wiedenmann B, Niederle B, Sedlackova E, Toumpanakis C, Anlauf M & Cwikla JB et al. ENETS Consensus Guidelines for high-grade gastroenteropancreatic neuroendocrine tumours and neuroendocrine carcinomas. Neuroendocrinology 2016 103 186194. (https://doi.org/10.1159/000443172)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5

    Pavel M, Valle JW, Eriksson B, Rinke A, Caplin M, Chen J, Costa F, Falkerby J, Fazio N & Gorbounova V et al. ENETS Consensus Guidelines for the standards of care in neuroendocrine neoplasms: systemic therapy – biotherapy and novel targeted agents. Neuroendocrinology 2017 105 266280.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6

    Garcia-Carbonero R, Rinke A, Valle JW, Fazio N, Caplin M, Gorbounova V, O’Connor J, Eriksson B, Sorbye H & Kulke M et al. ENETS Consensus Guidelines for the standards of care in neuroendocrine neoplasms. systemic therapy 2: chemotherapy. Neuroendocrinology 2017 105 281294.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7

    Strosberg JR, Halfdanarson TR, Bellizzi AM, Chan JA, Dillon JS, Heaney AP, Kunz PL, O'Dorisio TM, Salem R & Segelov E et al. The North American Neuroendocrine Tumour Society Consensus Guidelines for surveillance and medical management of midgut neuroendocrine tumours. Pancreas 2017 46 707714. (https://doi.org/10.1097/MPA.0000000000000850)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8

    Hicks RJ, Kwekkeboom DJ, Krenning E, Bodei L, Grozinsky-Glasberg S, Arnold R, Borbath I, Cwikla J, Toumpanakis C & Kaltsas G et al. ENETS Consensus Guidelines for the standards of care in neuroendocrine neoplasia: peptide receptor radionuclide therapy with radiolabeled somatostatin analogues. Neuroendocrinology 2017 105 295309.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9

    Walenkamp A, Crespo G, Fierro Maya F, Fossmark R, Igaz P, Rinke A, Tamagno G, Vitale G, Oberg K & Meyer T. Hallmarks of gastrointestinal neuroendocrine tumours: implications for treatment. Endocrine-Related Cancer 2014 21 R445R460. (https://doi.org/10.1530/ERC-14-0106)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10

    Kidd M, Drozdov I & Modlin I. Blood and tissue neuroendocrine tumour gene cluster analysis correlate, define hallmarks and predict disease status. Endocrine-Related Cancer 2015 22 561575. (https://doi.org/10.1530/ERC-15-0092)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11

    Banck MS, Kanwar R, Kulkarni AA, Boora GK, Metge F, Kipp BR, Zhang L, Thorland EC, Minn KT & Tentu R et al. The genomic landscape of small intestine neuroendocrine tumours. Journal of Clinical Investigation 2013 123 25022508. (https://doi.org/10.1172/JCI67963)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12

    Francis JM, Kiezun A, Ramos AH, Serra S, Pedamallu CS, Qian ZR, Banck MS, Kanwar R, Kulkarni AA, Karpathakis A, et al.Somatic mutation of CDKN1B in small intestine neuroendocrine tumours. Nature Genetics 2013 45 14831486. (https://doi.org/10.1038/ng.2821)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13

    Jiao Y, Shi C, Edil BH, de Wilde RF, Klimstra DS, Maitra A, Schulick RD, Tang LH, Wolfgang CL & Choti MA et al. DAXX/ATRX, MEN1, and mTOR pathway genes are frequently altered in pancreatic neuroendocrine tumours. Science 2011 331 11991203. (https://doi.org/10.1126/science.1200609)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14

    Rodriguez-Rodero S, Delgado-Alvarez E, Fernandez AF, Fernandez-Morera JL, Menendez-Torre E & Fraga MF. Epigenetic alterations in endocrine-related cancer. Endocrine-Related Cancer 2014 21 R319R330. (https://doi.org/10.1530/ERC-13-0070)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15

    Pipinikas CP, Dibra H, Karpathakis A, Feber A, Novelli M, Oukrif D, Fusai G, Valente R, Caplin M & Meyer T et al. Epigenetic dysregulation and poorer prognosis in DAXX-deficient pancreatic neuroendocrine tumours. Endocrine-Related Cancer 2015 22 L13L18. (https://doi.org/10.1530/ERC-15-0108)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 16

    Oberg K, Casanovas O, Castano JP, Chung D, Delle Fave G, Denefle P, Harris P, Khan MS, Kulke MH & Scarpa A et al. Molecular pathogenesis of neuroendocrine tumours: implications for current and future therapeutic approaches. Clinical Cancer Research 2013 19 28422849. (https://doi.org/10.1158/1078-0432.CCR-12-3458)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17

    Raymond E, Garcia-Carbonero R, Wiedenmann B, Grande E & Pavel M. Systemic therapeutic strategies for GEP-NETS: what can we expect in the future? Cancer Metastasis Reviews 2014 33 367372. (https://doi.org/10.1007/s10555-013-9467-z)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18

    Cella CA, Minucci S, Spada F, Galdy S, Elgendy M, Ravenda PS, Zampino MG, Murgioni S, Fazio N: Dual inhibition of mTOR pathway and VEGF signalling in neuroendocrine neoplasms: from bench to bedside. Cancer Treatment Reviews 2015 41 754760. (https://doi.org/10.1016/j.ctrv.2015.06.008)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19

    Kloppel G. Classification and pathology of gastroenteropancreatic neuroendocrine neoplasms. Endocrine-Related Cancer 2011 18 (Supplement 1) S1S16. (https://doi.org/10.1530/ERC-11-0013)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20

    Rindi G, Petrone G & Inzani F. 25 years of neuroendocrine neoplasms of the gastrointestinal tract. Endocrine Pathology 2014 25 5964. (https://doi.org/10.1007/s12022-013-9292-5)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21

    Cakir M & Grossman A. The molecular pathogenesis and management of bronchial carcinoids. Expert Opinion on Therapeutic Targets 2011 15 457491. (https://doi.org/10.1517/14728222.2011.555403)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22

    Grozinsky-Glasberg S, Shimon I & Rubinfeld H. The role of cell lines in the study of neuroendocrine tumours. Neuroendocrinology 2012 96 173187. (https://doi.org/10.1159/000338793)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23

    Babu V, Paul N & Yu R. Animal models and cell lines of pancreatic neuroendocrine tumours. Pancreas 2013 42 912923. (https://doi.org/10.1097/MPA.0b013e31827ae993)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24

    Yu R. Animal models of spontaneous pancreatic neuroendocrine tumours. Molecular and Cellular Endocrinology 2016 421 6067. (https://doi.org/10.1016/j.mce.2015.08.004)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25

    Evers BM, Townsend CM Jr, Upp JR, Allen E, Hurlbut SC, Kim SW, Rajaraman S, Singh P, Reubi JC, Thompson JC. Establishment and characterization of a human carcinoid in nude mice and effect of various agents on tumour growth. Gastroenterology 1991 101 303311. (https://doi.org/10.1016/0016-5085(91)90004-5)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26

    Kaku M, Nishiyama T, Yagawa K & Abe M. Establishment of a carcinoembryonic antigen-producing cell line from human pancreatic carcinoma. Gann 1980 71 596601.

  • 27

    Kolby L, Bernhardt P, Ahlman H, Wangberg B, Johanson V, Wigander A, Forssell-Aronsson E, Karlsson S, Ahren B & Stenman G et al. A transplantable human carcinoid as model for somatostatin receptor-mediated and amine transporter-mediated radionuclide uptake. American Journal of Pathology 2001 158 745755. (https://doi.org/10.1016/S0002-9440(10)64017-5)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28

    Pfragner R, Wirnsberger G, Niederle B, Behmel A, Rinner I, Mandl A, Wawrina F, Luo J, Adamiker D & Hoger H et al. Establishment of a continuous cell line from a human carcinoid of the small intestine (KRJ-I). International Journal of Oncology 1996 8 513520.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29

    Gragnoli C. The CM cell line derived from liver metastasis of malignant human insulinoma is not a valid beta cell model for in vitro studies. Journal of Cellular Physiology 2008 216 569570. (https://doi.org/10.1002/jcp.21453)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30

    Pfragner R, Behmel A, Hoger H, Beham A, Ingolic E, Stelzer I, Svejda B, Moser VA, Obenauf AC & Siegl V et al. Establishment and characterization of three novel cell lines – P-STS, L-STS, H-STS – derived from a human metastatic midgut carcinoid. Anticancer Research 2009 29 19511961.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31

    Krieg A, Mersch S, Boeck I, Dizdar L, Weihe E, Hilal Z, Krausch M, Mohlendick B, Topp SA & Piekorz RP et al. New model for gastroenteropancreatic large-cell neuroendocrine carcinoma: establishment of two clinically relevant cell lines. PLoS ONE 2014 9 e88713. (https://doi.org/10.1371/journal.pone.0088713)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 32

    Yamada T, Onda M & Tanaka N. Establishment and characterization of a human rectal neuroendocrine cell carcinoma in vitro. Journal of Experimental and Clinical Cancer Research 2001 20 561567.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33

    Boora GK, Kanwar R, Kulkarni AA, Pleticha J, Ames M, Schroth G, Beutler AS, Banck MS. Exome-level comparison of primary well-differentiated neuroendocrine tumours and their cell lines. Cancer Genetics 2015 208 374381. (https://doi.org/10.1016/j.cancergen.2015.04.002)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 34

    Vandamme T, Peeters M, Dogan F, Pauwels P, Van Assche E, Beyens M, Mortier G, Vandeweyer G, de Herder W & Van Camp G et al. Whole-exome characterization of pancreatic neuroendocrine tumour cell lines BON-1 and QGP-1. Journal of Molecular Endocrinology 2015 54 137147. (https://doi.org/10.1530/JME-14-0304)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 35

    Wolin EM. PI3K/Akt/mTOR pathway inhibitors in the therapy of pancreatic neuroendocrine tumours. Cancer Letters 2013 335 18. (https://doi.org/10.1016/j.canlet.2013.02.016)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 36

    Pavel M. Translation of molecular pathways into clinical trials of neuroendocrine tumours. Neuroendocrinology 2013 97 99112. (https://doi.org/10.1159/000336089)

  • 37

    Carter Y, Jaskula-Sztul R, Chen H & Mazeh H. Signaling pathways as specific pharmacologic targets for neuroendocrine tumour therapy: RET, PI3K, MEK, growth factors, and Notch. Neuroendocrinology 2013 97 5766. (https://doi.org/10.1159/000335136)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38

    Wiedenmann B, Pavel M & Kos-Kudla B. From targets to treatments: a review of molecular targets in pancreatic neuroendocrine tumours. Neuroendocrinology 2011 94 177190. (https://doi.org/10.1159/000329386)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 39

    Toulany M & Rodemann HP. Phosphatidylinositol 3-kinase/Akt signaling as a key mediator of tumour cell responsiveness to radiation. Seminars in Cancer Biology 2015 35 180190. (https://doi.org/10.1016/j.semcancer.2015.07.003)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 40

    Pitt SC, Davis R, Kunnimalaiyaan M, Chen H. AKT and PTEN expression in human gastrointestinal carcinoid tumours. American Journal of Translational Research 2009 1 291299.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 41

    Missiaglia E, Dalai I, Barbi S, Beghelli S, Falconi M, della Peruta M, Piemonti L, Capurso G, Di Florio A & delle Fave G et al. Pancreatic endocrine tumours: expression profiling evidences a role for AKT-mTOR pathway. Journal of Clinical Oncology 2010 28 245255. (https://doi.org/10.1200/JCO.2008.21.5988)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 42

    Cingarlini S, Bonomi M, Corbo V, Scarpa A & Tortora G. Profiling mTOR pathway in neuroendocrine tumours. Targeted Oncology 2012 7 183188. (https://doi.org/10.1007/s11523-012-0226-9)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 43

    Tan HL, Sood A, Rahimi HA, Wang W, Gupta N, Hicks J, Mosier S, Gocke CD, Epstein JI & Netto GJ et al. Rb loss is characteristic of prostatic small cell neuroendocrine carcinoma. Clinical Cancer Research 2014 20 890903. (https://doi.org/10.1158/1078-0432.CCR-13-1982)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 44

    Kasajima A, Pavel M, Darb-Esfahani S, Noske A, Stenzinger A, Sasano H, Dietel M, Denkert C, Rocken C & Wiedenmann B et al. mTOR expression and activity patterns in gastroenteropancreatic neuroendocrine tumours. Endocrine-Related Cancer 2011 18 181192. (https://doi.org/10.1677/ERC-10-0126)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 45

    Qian ZR, Ter-Minassian M, Chan JA, Imamura Y, Hooshmand SM, Kuchiba A, Morikawa T, Brais LK, Daskalova A & Heafield R et al. Prognostic significance of MTOR pathway component expression in neuroendocrine tumours. Journal of Clinical Oncology 2013 31 34183425. (https://doi.org/10.1200/JCO.2012.46.6946)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 46

    Geis C, Fendrich V, Rexin P, Di Fazio P, Bartsch DK, Ocker M, Quint K & Heverhagen AE. Ileal neuroendocrine tumours show elevated activation of mammalian target of rapamycin complex. Journal of Surgical Research 2015 194 388393. (https://doi.org/10.1016/j.jss.2014.10.052)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 47

    Yao JC, Shah MH, Ito T, Bohas CL, Wolin EM, Van Cutsem E, Hobday TJ, Okusaka T, Capdevila J & de Vries EG et al. Everolimus for advanced pancreatic neuroendocrine tumours. New England Journal of Medicine 2011 364 514523. (https://doi.org/10.1056/NEJMoa1009290)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 48

    Pavel ME, Hainsworth JD, Baudin E, Peeters M, Horsch D, Winkler RE, Klimovsky J, Lebwohl D, Jehl V & Wolin EM et al. Everolimus plus octreotide long-acting repeatable for the treatment of advanced neuroendocrine tumours associated with carcinoid syndrome (RADIANT-2): a randomised, placebo-controlled, phase 3 study. Lancet 2011 378 20052012. (https://doi.org/10.1016/S0140-6736(11)61742-X)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 49

    Yao JC, Fazio N, Singh S, Buzzoni R, Carnaghi C, Wolin E, Tomasek J, Raderer M, Lahner H & Voi M et al. Everolimus for the treatment of advanced, non-functional neuroendocrine tumours of the lung or gastrointestinal tract (RADIANT-4): a randomised, placebo-controlled, phase 3 study. Lancet 2016 387 968977. (https://doi.org/10.1016/S0140-6736(15)00817-X)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 50

    Meric-Bernstam F, Akcakanat A, Chen H, Do KA, Sangai T, Adkins F, Gonzalez-Angulo AM, Rashid A, Crosby K & Dong M et al. PIK3CA/PTEN mutations and Akt activation as markers of sensitivity to allosteric mTOR inhibitors. Clinical Cancer Research 2012 18 17771789. (https://doi.org/10.1158/1078-0432.CCR-11-2123)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 51

    Gagliano T, Bellio M, Gentilin E, Mole D, Tagliati F, Schiavon M, Cavallesco NG, Andriolo LG, Ambrosio MR & Rea F et al. mTOR, p70S6K, AKT, and ERK1/2 levels predict sensitivity to mTOR and PI3K/mTOR inhibitors in human bronchial carcinoids. Endocrine-Related Cancer 2013 20 463475. (https://doi.org/10.1530/ERC-13-0042)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 52

    Duran I, Kortmansky J, Singh D, Hirte H, Kocha W, Goss G, Le L, Oza A, Nicklee T & Ho J et al. A phase II clinical and pharmacodynamic study of temsirolimus in advanced neuroendocrine carcinomas. British Journal of Cancer 2006 95 11481154. (https://doi.org/10.1038/sj.bjc.6603419)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 53

    Capozzi M, Caterina I, De Divitiis C, von Arx C, Maiolino P, Tatangelo F, Cavalcanti E, Di Girolamo E, Iaffaioli RV & Scala S et al. Everolimus and pancreatic neuroendocrine tumours (PNETs): Activity, resistance and how to overcome it. International Journal of Surgery 2015 21 (Supplement 1) S89S94. (https://doi.org/10.1016/j.ijsu.2015.06.064)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 54

    Tijeras-Raballand A, Neuzillet C, Couvelard A, Serova M, de Gramont A, Hammel P, Raymond E & Faivre S. Resistance to targeted therapies in pancreatic neuroendocrine tumours (PNETs): molecular basis, preclinical data, and counteracting strategies. Targeted Oncology 2012 7 173181. (https://doi.org/10.1007/s11523-012-0229-6)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 55

    Svejda B, Kidd M, Kazberouk A, Lawrence B, Pfragner R & Modlin IM. Limitations in small intestinal neuroendocrine tumour therapy by mTor kinase inhibition reflect growth factor-mediated PI3K feedback loop activation via ERK1/2 and AKT. Cancer 2011 117 41414154. (https://doi.org/10.1002/cncr.26011)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 56

    Zitzmann K, Ruden J, Brand S, Goke B, Lichtl J, Spottl G & Auernhammer CJ. Compensatory activation of Akt in response to mTOR and Raf inhibitors – a rationale for dual-targeted therapy approaches in neuroendocrine tumour disease. Cancer Letters 2010 295 100109. (https://doi.org/10.1016/j.canlet.2010.02.018)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 57

    Iida S, Miki Y, Ono K, Akahira J, Nakamura Y, Suzuki T & Sasano H. Synergistic anti-tumour effects of RAD001 with MEK inhibitors in neuroendocrine tumours: a potential mechanism of therapeutic limitation of mTOR inhibitor. Molecular and Cellular Endocrinology 2012 350 99106. (https://doi.org/10.1016/j.mce.2011.11.024)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 58

    Passacantilli I, Capurso G, Archibugi L, Calabretta S, Caldarola S, Loreni F, Delle Fave G & Sette C. Combined therapy with RAD001 e BEZ235 overcomes resistance of PET immortalized cell lines to mTOR inhibition. Oncotarget 2014 5 53815391. (https://doi.org/10.18632/oncotarget.2111)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 59

    Francois RA, Maeng K, Nawab A, Kaye FJ, Hochwald SN, Zajac-Kaye M. Targeting focal adhesion kinase and resistance to mTOR inhibition in pancreatic neuroendocrine tumours. Journal of the National Cancer Institute 2015 107 djv123.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 60

    Fazio N. Neuroendocrine tumours resistant to mammalian target of rapamycin inhibitors: a difficult conversion from biology to the clinic. World Journal of Clinical Oncology 2015 6 194197. (https://doi.org/10.5306/wjco.v6.i6.194)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 61

    Bago-Horvath Z, Sieghart W, Grusch M, Lackner A, Hayden H, Pirker C, Komina O, Wesierska-Gadek J, Haitel A & Filipits M et al. Synergistic effects of erlotinib and everolimus on bronchial carcinoids and large-cell neuroendocrine carcinomas with activated EGFR/AKT/mTOR pathway. Neuroendocrinology 2012 96 228237. (https://doi.org/10.1159/000337257)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 62

    Capurso G, Fendrich V, Rinzivillo M, Panzuto F, Bartsch DK & Delle Fave G. Novel molecular targets for the treatment of gastroenteropancreatic endocrine tumours: answers and unsolved problems. International Journal of Molecular Sciences 2012 14 3045. (https://doi.org/10.3390/ijms14010030)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 63

    Moschetta M, Reale A, Marasco C, Vacca A & Carratu MR. Therapeutic targeting of the mTOR-signalling pathway in cancer: benefits and limitations. British Journal of Pharmacology 2014 171 38013813. (https://doi.org/10.1111/bph.12749)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 64

    Xu K, Liu P & Wei W. mTOR signaling in tumourigenesis. Biochimica et Biophysica Acta 2014 1846 638654.

  • 65

    Briest F & Grabowski P. PI3K-AKT-mTOR-signaling and beyond: the complex network in gastroenteropancreatic neuroendocrine neoplasms. Theranostics 2014 4 336365. (https://doi.org/10.7150/thno.7851)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 66

    Moreno A, Akcakanat A, Munsell MF, Soni A, Yao JC & Meric-Bernstam F. Antitumour activity of rapamycin and octreotide as single agents or in combination in neuroendocrine tumours. Endocrine-Related Cancer 2008 15 257266. (https://doi.org/10.1677/ERC-07-0202)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 67

    Spampatti M, Vlotides G, Spottl G, Maurer J, Goke B & Auernhammer CJ. Aspirin inhibits cell viability and mTOR downstream signaling in gastroenteropancreatic and bronchopulmonary neuroendocrine tumour cells. World Journal of Gastroenterology 2014 20 1003810049. (https://doi.org/10.3748/wjg.v20.i29.10038)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 68

    Grozinsky-Glasberg S, Franchi G, Teng M, Leontiou CA, Ribeiro de Oliveira A Jr, Dalino P, Salahuddin N, Korbonits M, Grossman AB. Octreotide and the mTOR inhibitor RAD001 (everolimus) block proliferation and interact with the Akt-mTOR-p70S6K pathway in a neuro-endocrine tumour cell Line. Neuroendocrinology 2008 87 168181. (https://doi.org/10.1159/000111501)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 69

    Zitzmann K, De Toni EN, Brand S, Goke B, Meinecke J, Spottl G, Meyer HH & Auernhammer CJ. The novel mTOR inhibitor RAD001 (everolimus) induces antiproliferative effects in human pancreatic neuroendocrine tumour cells. Neuroendocrinology 2007 85 5460. (https://doi.org/10.1159/000100057)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 70

    Djukom C, Porro LJ, Mrazek A, Townsend CM Jr, Hellmich MR & Chao C. Dual inhibition of PI3K and mTOR signaling pathways decreases human pancreatic neuroendocrine tumour metastatic progression. Pancreas 2014 43 8892. (https://doi.org/10.1097/MPA.0b013e3182a44ab4)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 71

    Couderc C, Poncet G, Villaume K, Blanc M, Gadot N, Walter T, Lepinasse F, Hervieu V, Cordier-Bussat M & Scoazec JY et al. Targeting the PI3K/mTOR pathway in murine endocrine cell lines: in vitro and in vivo effects on tumour cell growth. American Journal of Pathology 2011 178 336344. (https://doi.org/10.1016/j.ajpath.2010.11.023)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 72

    Soler A, Figueiredo AM, Castel P, Martin L, Monelli E, Angulo-Urarte A, Mila-Guasch M, Vinals F, Baselga J & Casanovas O et al. Therapeutic benefit of selective inhibition of p110alpha PI3-kinase in pancreatic neuroendocrine tumours. Clinical Cancer Research 2016 22 58055817. (https://doi.org/10.1158/1078-0432.CCR-15-3051)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 73

    Valentino JD, Li J, Zaytseva YY, Mustain WC, Elliott VA, Kim JT, Harris JW, Campbell K, Weiss H & Wang C et al. Cotargeting the PI3K and RAS pathways for the treatment of neuroendocrine tumours. Clinical Cancer Research 2014 20 12121222. (https://doi.org/10.1158/1078-0432.CCR-13-1897)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 74

    Nolting S, Rentsch J, Freitag H, Detjen K, Briest F, Mobs M, Weissmann V, Siegmund B, Auernhammer CJ & Aristizabal Prada ET et al. The selective PI3Kalpha inhibitor BYL719 as a novel therapeutic option for neuroendocrine tumours: results from multiple cell line models. PLoS ONE 2017 12 e0182852. (https://doi.org/10.1371/journal.pone.0182852)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 75

    Antonuzzo L, Del Re M, Barucca V, Spada F, Meoni G, Restante G, Danesi R, Di Costanzo F & Fazio N. Critical focus on mechanisms of resistance and toxicity of m-TOR inhibitors in pancreatic neuroendocrine tumours. Cancer Treatment Reviews 2017 57 2835. (https://doi.org/10.1016/j.ctrv.2017.05.001)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 76

    Pavel ME, Sers C. WOMEN IN CANCER THEMATIC REVIEW: Systemic therapies in neuroendocrine tumours and novel approaches toward personalized medicine. Endocrine-Related Cancer 2016 23 T135T154. (https://doi.org/10.1530/ERC-16-0370)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 77

    Yap TA, Bjerke L, Clarke PA, Workman P. Drugging PI3K in cancer: refining targets and therapeutic strategies. Current Opinion in Pharmacology 2015 23 98107. (https://doi.org/10.1016/j.coph.2015.05.016)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 78

    Zitzmann K, Vlotides G, Brand S, Lahm H, Spottl G, Goke B & Auernhammer CJ. Perifosine-mediated Akt inhibition in neuroendocrine tumour cells: role of specific Akt isoforms. Endocrine-Related Cancer 2012 19 423434. (https://doi.org/10.1530/ERC-12-0074)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 79

    Somnay Y, Simon K, Harrison AD, Kunnimalaiyaan S, Chen H & Kunnimalaiyaan M. Neuroendocrine phenotype alteration and growth suppression through apoptosis by MK-2206, an allosteric inhibitor of AKT, in carcinoid cell lines in vitro. Anti-Cancer Drugs 2013 24 6672. (https://doi.org/10.1097/CAD.0b013e3283584f75)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 80

    Yap TA, Yan L, Patnaik A, Fearen I, Olmos D, Papadopoulos K, Baird RD, Delgado L, Taylor A & Lupinacci L et al. First-in-man clinical trial of the oral pan-AKT inhibitor MK-2206 in patients with advanced solid tumours. Journal of Clinical Oncology 2011 29 46884695. (https://doi.org/10.1200/JCO.2011.35.5263)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 81

    Reidy-Lagunes DL, Vakiani E, Segal MF, Hollywood EM, Tang LH, Solit DB, Pietanza MC, Capanu M, Saltz LB. A phase 2 study of the insulin-like growth factor-1 receptor inhibitor MK-0646 in patients with metastatic, well-differentiated neuroendocrine tumours. Cancer 2012 118 47954800. (https://doi.org/10.1002/cncr.27459)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 82

    Gloesenkamp CR, Nitzsche B, Ocker M, Di Fazio P, Quint K, Hoffmann B, Scherubl H, Hopfner M. AKT inhibition by triciribine alone or as combination therapy for growth control of gastroenteropancreatic neuroendocrine tumours. International Journal of Oncology 2012 40 876888.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 83

    Mita MM, Wolin EM, Meyer T, Nemunaitis JJ, Bergsland EK, Mahipal A, Wong L, Wu X, Carmichael J & Chopra R et al. Phase I expansion trial of an oral TORC1/TORC2 inhibitor (CC-223) in nonpancreatic neuroendocrine tumours (NET). Journal of Clinical Oncology 2013 31 e15004e15004.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 84

    Freitag H, Christen F, Lewens F, Grass I, Briest F, Iwaszkiewicz S, Siegmund B & Grabowski P. Inhibition of mTOR’s catalytic site by PKI-587 is a promising therapeutic option for gastroenteropancreatic neuroendocrine tumour disease. Neuroendocrinology 2017 105 90104. (https://doi.org/10.1159/000448843)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 85

    Chiu CW, Nozawa H, Hanahan D. Survival benefit with proapoptotic molecular and pathologic responses from dual targeting of mammalian target of rapamycin and epidermal growth factor receptor in a preclinical model of pancreatic neuroendocrine carcinogenesis. Journal of Clinical Oncology 2010 28 44254433. (https://doi.org/10.1200/JCO.2010.28.0198)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 86

    Mohamed A, Romano D, Saveanu A, Roche C, Albertelli M, Barbieri F, Brue T, Niccoli P, Delpero JR & Garcia S et al. Anti-proliferative and anti-secretory effects of everolimus on human pancreatic neuroendocrine tumours primary cultures: is there any benefit from combination with somatostatin analogs? Oncotarget 2017 8 4104441063.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 87

    Zitzmann K, Andersen S, Vlotides G, Spottl G, Zhang S, Datta R, Culler M, Goke B & Auernhammer CJ. The novel somatostatin receptor 2/dopamine type 2 receptor chimeric compound BIM-23A758 decreases the viability of human GOT1 midgut carcinoid cells. Neuroendocrinology 2013 98 128136. (https://doi.org/10.1159/000353784)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 88

    Arkwright RT, Deshmukh R, Adapa N, Stevens R, Zonder E, Zhang Z, Farshi P, Ahmed RS, El-Banna HA & Chan TH et al. Lessons from nature: sources and strategies for developing AMPK activators for cancer chemotherapeutics. Anti-Cancer Agents in Medicinal Chemistry 2015 15 657671. (https://doi.org/10.2174/1871520615666141216145417)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 89

    Larsson O, Morita M, Topisirovic I, Alain T, Blouin MJ, Pollak M & Sonenberg N. Distinct perturbation of the translatome by the antidiabetic drug metformin. PNAS 2012 109 89778982. (https://doi.org/10.1073/pnas.1201689109)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 90

    Burney S, Khawaja KI, Saif MW & Masud F. Chemotherapy and metformin in pancreatic adenocarcinoma and neuroendocrine tumours. Journal of the Pancreas 2014 15 313316.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 91

    Miranda VC, Barroso-Sousa R, Glasberg J, Riechelmann RP. Exploring the role of metformin in anticancer treatments: a systematic review. Drugs of Today 2014 50 623640. (https://doi.org/10.1358/dot.2014.50.9.2229920)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 92

    Din FV, Valanciute A, Houde VP, Zibrova D, Green KA, Sakamoto K, Alessi DR, Dunlop MG. Aspirin inhibits mTOR signaling, activates AMP-activated protein kinase, and induces autophagy in colorectal cancer cells. Gastroenterology 2012 142 1504.e15031515.e1503. (https://doi.org/10.1053/j.gastro.2012.02.050)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 93

    Chen S, Zhu X, Lai X, Xiao T, Wen A & Zhang J. Combined cancer therapy with non-conventional drugs: all roads lead to AMPK. Mini Reviews in Medicinal Chemistry 2014 14 642654. (https://doi.org/10.2174/1389557514666140820104444)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 94

    Fendrich V, Lopez CL, Manoharan J, Maschuw K, Wichmann S, Baier A, Holler JP, Ramaswamy A, Bartsch DK & Waldmann J. Enalapril and ASS inhibit tumour growth in a transgenic mouse model of islet cell tumours. Endocrine-Related Cancer 2014 21 813824. (https://doi.org/10.1530/ERC-14-0175)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 95

    Rinzivillo M, Capurso G, Campana D, Fazio N, Panzuto F, Spada F, Cicchese N, Partelli S, Tomassetti P & Falconi M et al. Risk and protective factors for small intestine neuroendocrine tumours: a prospective case-control study. Neuroendocrinology 2016 103 531537. (https://doi.org/10.1159/000440884)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 96

    Vlotides G, Tanyeri A, Spampatti M, Zitzmann K, Chourdakis M, Spttl C, Maurer J, Nolting S, Goke B & Auernhammer CJ. Anticancer effects of metformin on neuroendocrine tumour cells in vitro. Hormones 2014 13 498508.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 97

    Pusceddu S, de Braud F, Concas L, Bregant C, Leuzzi L, Formisano B & Buzzoni R. Rationale and protocol of the MetNET-1 trial, a prospective, single center, phase II study to evaluate the activity and safety of everolimus in combination with octreotide LAR and metformin in patients with advanced pancreatic neuroendocrine tumours. Tumouri 2014 100 e286e289.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 98

    Pusceddu S, Prinzi N, Lo Russo G, Femia D, Milione M, Perrone F, Tamborini E, Concas L, Pulice I & Vernieri C et al. Rationale and protocol of MetNET-2 trial: Lanreotide Autogel plus metformin in advanced gastrointestinal or lung neuroendocrine tumours. Future Oncology 2017 13 16771683.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 99

    McCubrey JA, Steelman LS, Bertrand FE, Davis NM, Sokolosky M, Abrams SL, Montalto G, D’Assoro AB, Libra M & Nicoletti F et al. GSK-3 as potential target for therapeutic intervention in cancer. Oncotarget 2014 5 28812911. (https://doi.org/10.18632/oncotarget.2037)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 100

    Wada A. GSK-3 inhibitors and insulin receptor signaling in health, disease, and therapeutics. Frontiers in Bioscience 2009 14 15581570. (https://doi.org/10.2741/3324)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 101

    Mussmann R, Geese M, Harder F, Kegel S, Andag U, Lomow A, Burk U, Onichtchouk D, Dohrmann C & Austen M. Inhibition of GSK3 promotes replication and survival of pancreatic beta cells. Journal of Biological Chemistry 2007 282 1203012037. (https://doi.org/10.1074/jbc.M609637200)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 102

    Greenblatt DY, Ndiaye M, Chen H, Kunnimalaiyaan M. Lithium inhibits carcinoid cell growth in vitro. American Journal of Translational Research 2010 2 248253.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 103

    Lubner SJ, Kunnimalaiyaan M, Holen KD, Ning L, Ndiaye M, Loconte NK, Mulkerin DL, Schelman WR, Chen H. A preclinical and clinical study of lithium in low-grade neuroendocrine tumours. Oncologist 2011 16 452457. (https://doi.org/10.1634/theoncologist.2010-0323)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 104

    Adler JT, Hottinger DG, Kunnimalaiyaan M, Chen H. Combination therapy with histone deacetylase inhibitors and lithium chloride: a novel treatment for carcinoid tumours. Annals of Surgical Oncology 2009 16 481486. (https://doi.org/10.1245/s10434-008-0194-6)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 105

    Desai SS, Modali SD, Parekh VI, Kebebew E & Agarwal SK. GSK-3beta protein phosphorylates and stabilizes HLXB9 protein in insulinoma cells to form a targetable mechanism of controlling insulinoma cell proliferation. Journal of Biological Chemistry 2014 289 53865398. (https://doi.org/10.1074/jbc.M113.533612)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 106

    Chen JY, Cook MR, Pinchot SN, Kunnimalaiyaan M, Chen H. MG-132 inhibits carcinoid growth and alters the neuroendocrine phenotype. Journal of Surgical Research 2010 158 1519. (https://doi.org/10.1016/j.jss.2009.05.032)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 107

    Kunnimalaiyaan M, Ndiaye M & Chen H. Neuroendocrine tumour cell growth inhibition by ZM336372 through alterations in multiple signaling pathways. Surgery 2007 142 959964; discussion 959964. (https://doi.org/10.1016/j.surg.2007.09.020)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 108

    Petrini I. Biology of MET: a double life between normal tissue repair and tumour progression. Annals of Translational Medicine 2015 3 82.

  • 109

    Garajova I, Giovannetti E, Biasco G & Peters GJ. c-Met as a target for personalized therapy. Translational Oncogenomics 2015 7 1331. (https://doi.org/10.4137/TOG.S30534)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 110

    Sennino B, Ishiguro-Oonuma T, Wei Y, Naylor RM, Williamson CW, Bhagwandin V, Tabruyn SP, You WK, Chapman HA & Christensen JG et al. Suppression of tumour invasion and metastasis by concurrent inhibition of c-Met and VEGF signaling in pancreatic neuroendocrine tumours. Cancer Discovery 2012 2 270287. (https://doi.org/10.1158/2159-8290.CD-11-0240)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 111

    Sennino B, Ishiguro-Oonuma T, Schriver BJ, Christensen JG & McDonald DM. Inhibition of c-Met reduces lymphatic metastasis in RIP-Tag2 transgenic mice. Cancer Research 2013 73 36923703. (https://doi.org/10.1158/0008-5472.CAN-12-2160)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 112

    Lynn KD, Brekken RA. Anti-VEGF therapy revived by c-Met inhibition, but is c-Met the answer? Cancer Discovery 2012 2 211213. (https://doi.org/10.1158/2159-8290.CD-12-0037)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 113

    Brandes F, Schmidt K, Wagner C, Redekopf J, Schlitt HJ, Geissler EK & Lang SA. Targeting cMET with INC280 impairs tumour growth and improves efficacy of gemcitabine in a pancreatic cancer model. BMC Cancer 2015 15 71. (https://doi.org/10.1186/s12885-015-1064-9)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 114

    Moran-Jones K, Brown LM & Samimi G. INC280, an orally available small molecule inhibitor of c-MET, reduces migration and adhesion in ovarian cancer cell models. Scientific Reports 2015 5 11749. (https://doi.org/10.1038/srep11749)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 115

    Reuther C, Heinzle V, Spampatti M, Vlotides G, de Toni E, Spottl G, Maurer J, Nolting S, Goke B & Auernhammer CJ. Cabozantinib and tivantinib, but not INC280, induce antiproliferative and antimigratory effects in human neuroendocrine tumour cells in vitro: evidence for ‘off-target’ effects not mediated by c-Met inhibition. Neuroendocrinology 2016 103 383401. (https://doi.org/10.1159/000439431)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 116

    Martin-Liberal J & Larkin J. New RAF kinase inhibitors in cancer therapy. Expert Opinion on Pharmacotherapy 2014 15 12351245. (https://doi.org/10.1517/14656566.2014.911286)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 117

    Johnson DB, Sosman JA. Therapeutic advances and treatment options in metastatic melanoma. JAMA Oncology 2015 1 380386. (https://doi.org/10.1001/jamaoncol.2015.0565)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 118

    Gilbert JA, Adhikari LJ, Lloyd RV, Halfdanarson TR, Muders MH, Ames MM. Molecular markers for novel therapeutic strategies in pancreatic endocrine tumours. Pancreas 2013 42 411421. (https://doi.org/10.1097/MPA.0b013e31826cb243)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 119

    Astsaturov IA, Cohen SJ, Engstrom PF, Gatalica Z, Bender RP, Basu GD, Millis SZ. Profiling of a global cohort of 1250 neuroendocrine tumours to identify multiple potential drug targets. Journal of Clinical Oncology 2014 32 214214. (https://doi.org/10.1200/jco.2014.32.3_suppl.214)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 120

    Oberg K. The genetics of neuroendocrine tumours. Seminars in Oncology 2013 40 3744. (https://doi.org/10.1053/j.seminoncol.2012.11.005)

  • 121

    Ratner N & Miller SJ. A RASopathy gene commonly mutated in cancer: the neurofibromatosis type 1 tumour suppressor. Nature Reviews Cancer 2015 15 290301. (https://doi.org/10.1038/nrc3911)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 122

    Zitzmann K, de Toni E, von Ruden J, Brand S, Goke B, Laubender RP & Auernhammer CJ. The novel Raf inhibitor Raf265 decreases Bcl-2 levels and confers TRAIL-sensitivity to neuroendocrine tumour cells. Endocrine-Related Cancer 2011 18 277285. (https://doi.org/10.1530/ERC-10-0108)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 123

    Van Gompel JJ, Kunnimalaiyaan M, Holen K, Chen H. ZM336372, a Raf-1 activator, suppresses growth and neuroendocrine hormone levels in carcinoid tumour cells. Molecular Cancer Therapeutics 2005 4 910917. (https://doi.org/10.1158/1535-7163.MCT-04-0334)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 124

    Cook MR, Pinchot SN, Jaskula-Sztul R, Luo J, Kunnimalaiyaan M, Chen H. Identification of a novel Raf-1 pathway activator that inhibits gastrointestinal carcinoid cell growth. Molecular Cancer Therapeutics 2010 9 429437. (https://doi.org/10.1158/1535-7163.MCT-09-0718)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 125

    Somnay Y, Chen H & Kunnimalaiyaan M. Synergistic effect of pasireotide and teriflunomide in carcinoids in vitro. Neuroendocrinology 2013 97 183192. (https://doi.org/10.1159/000341810)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 126

    Fazio N, Abdel-Rahman O, Spada F, Galdy S, De Dosso S, Capdevila J & Scarpa A. RAF signaling in neuroendocrine neoplasms: from bench to bedside. Cancer Treatment Reviews 2014 40 974979. (https://doi.org/10.1016/j.ctrv.2014.06.009)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 127

    Sippel RS, Carpenter JE, Kunnimalaiyaan M, Lagerholm S, Chen H. Raf-1 activation suppresses neuroendocrine marker and hormone levels in human gastrointestinal carcinoid cells. American Journal of Physiology: Gastrointestinal and Liver Physiology 2003 285 G245G254. (https://doi.org/10.1152/ajpgi.00420.2002)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 128

    Ning L, Chen H & Kunnimalaiyaan M. Focal adhesion kinase, a downstream mediator of Raf-1 signaling, suppresses cellular adhesion, migration, and neuroendocrine markers in BON carcinoid cells. Molecular Cancer Research 2010 8 775782. (https://doi.org/10.1158/1541-7786.MCR-09-0525)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 129

    Greenblatt DY, Kunnimalaiyaan M, Chen H. Raf-1 activation in gastrointestinal carcinoid cells decreases tumour cell adhesion. American Journal of Surgery 2007 193 331335; discussion 335. (https://doi.org/10.1016/j.amjsurg.2006.09.016)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 130

    Hatzivassiliou G, Song K, Yen I, Brandhuber BJ, Anderson DJ, Alvarado R, Ludlam MJ, Stokoe D, Gloor SL & Vigers G et al. RAF inhibitors prime wild-type RAF to activate the MAPK pathway and enhance growth. Nature 2010 464 431435. (https://doi.org/10.1038/nature08833)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 131

    Hall-Jackson CA, Eyers PA, Cohen P, Goedert M, Boyle FT, Hewitt N, Plant H, Hedge P. Paradoxical activation of Raf by a novel Raf inhibitor. Chemistry and Biology 1999 6 559568.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 132

    Grant S. Cotargeting survival signaling pathways in cancer. Journal of Clinical Investigation 2008 118 30033006.

  • 133

    Carracedo A, Ma L, Teruya-Feldstein J, Rojo F, Salmena L, Alimonti A, Egia A, Sasaki AT, Thomas G & Kozma SC et al. Inhibition of mTORC1 leads to MAPK pathway activation through a PI3K-dependent feedback loop in human cancer. Journal of Clinical Investigation 2008 118 30653074.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 134

    Kinkade CW, Castillo-Martin M, Puzio-Kuter A, Yan J, Foster TH, Gao H, Sun Y, Ouyang X, Gerald WL & Cordon-Cardo C et al. Targeting AKT/mTOR and ERK MAPK signaling inhibits hormone-refractory prostate cancer in a preclinical mouse model. Journal of Clinical Investigation 2008 118 30513064.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 135

    Cochrane CR, Szczepny A, Watkins DN, Cain JE. hedgehog signaling in the maintenance of cancer stem cells. Cancers 2015 7 15541585. (https://doi.org/10.3390/cancers7030851)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 136

    Takebe N, Miele L, Harris PJ, Jeong W, Bando H, Kahn M, Yang SX & Ivy SP. Targeting Notch, Hedgehog, and Wnt pathways in cancer stem cells: clinical update. Nature Reviews Clinical Oncology 2015 12 445464. (https://doi.org/10.1038/nrclinonc.2015.61)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 137

    Gonnissen A, Isebaert S & Haustermans K. Targeting the Hedgehog signaling pathway in cancer: beyond Smoothened. Oncotarget 2015 6 1389913913. (https://doi.org/10.18632/oncotarget.4224)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 138

    Justilien V & Fields AP. Molecular pathways: novel approaches for improved therapeutic targeting of Hedgehog signaling in cancer stem cells. Clinical Cancer Research 2015 21 505513. (https://doi.org/10.1158/1078-0432.CCR-14-0507)

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 139

    Nix NM, Burdine O, Walker M. Vismodegib: first-in-class hedgehog pathway inhibitor for metastatic or locally advanced basal cell carcinoma. Journal of the Advanced Practitioner in Oncology 2014 5 294296.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 140

    Booms P, Harth M, Sader R & Ghanaati S. Vismodegib hedgehog-signaling inhibition and treatment of basal cell carcinomas as well as keratocystic odontogenic tumours in Gorlin syndrome. Annals of Maxillofacial Surgery 2015 5 1419. (https://doi.org/10.4103/2231-0746.161049)

    • Crossref
    • PubMed