Dataset Information

Ghrelin-O-Acyltransferase (GOAT) Enzyme as a Novel Potential Biomarker in Gastroenteropancreatic Neuroendocrine Tumors.

ABSTRACT:

Objectives

The association between the presence and alterations of the components of the ghrelin system and the development and progression of neuroendocrine tumors (NETs) is still controversial and remains unclear.

Methods

Here, we systematically evaluated the expression levels (by quantitative-PCR) of key ghrelin system components of in gastroenteropancreatic (GEP)-NETs, as compared to non-tumor adjacent (NTA; n = 42) and normal tissues (NT; n = 14). Then, we analyzed their putative associations with clinical-histological characteristics.

Results

The results indicate that ghrelin and its receptor GHSR1a are present in a high proportion of normal tissues, while the enzyme ghrelin-O-acyltransferase (GOAT) and the splicing variants In1-ghrelin and GHSR1b were present in a lower proportion of normal tissues. In contrast, all ghrelin system components were present in a high proportion of tumor and NTA tissues. GOAT was significantly overexpressed (by quantitative-PCR (qPCR)) in tumor samples compared to NTA, while a trend was found for ghrelin, In1-ghrelin and GHSR1a. In addition, expression of these components displayed significant correlations with key clinical parameters. The marked overexpression of GOAT in tumor samples compared to NTA regions was confirmed by IHC, revealing that this enzyme is particularly overexpressed in gastrointestinal NETs, where it is directly correlated with tumor diameter.

Conclusions

These results provide novel information on the presence and potential pathophysiological implications of the ghrelin system components in GEP-NETs, wherein GOAT might represent a novel diagnostic biomarker.

SUBMITTER: Herrera-Martinez AD

PROVIDER: S-EPMC6175927 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Gastroenteropancreatic (GEP) neuroendocrine tumors (NETs) represent the most common subtype of NETs. The incidence of all NETs, and specifically GEP NETs, has risen exponentially over the last three decades. Only within the past several years have these tumors been appropriately classified, allowing for meaningful drug development. Broadly, some of the most exciting drug classes being developed for patients with well-differentiated GEP NETs include newer types of peptide receptor radionuclide therapy (PRRT) or combinations which increase the potency of lutetium-177 (177Lu)-Dotatate, novel multi-target receptor tyrosine kinase inhibitors (RTKIs) and immunotherapy modalities, beyond checkpoint inhibitors, which seek to unleash the immune system against NETs. Specifically looking at newer types of PRRT, somatostatin receptor antagonists and alpha-emitter radionuclides each have demonstrated the ability to elicit greater DNA damage than 177Lu-Dotatate in preclinical models. Early clinical experiences with each of these agents suggest they may be more cytotoxic than 177Lu-Dotatate. Other approaches seeking to build upon the DNA damage created by 177Lu-Dotatate include combinations of PRRT with radiosensitizers such as heat shock protein 90 inhibitors, hedgehog inhibitors, chemotherapy combinations, and triapine. Many of these combinations have just begun to be tested clinically. With regards to novel RTKIs, some of the ones which have demonstrated potent cytoreductive potential include cabozantinib and lenvatinib. Other RTKIs which are further along the clinical development spectrum and have demonstrated benefit in randomized trials include surufatinib and pazopanib. And though single-agent immune checkpoint inhibitors have not demonstrated significant anti-tumor activity in patients with GEP NETs, outside of certain biomarker selected subsets, somatostatin receptor-directed chimeric antigen receptor (CAR) T cells and vaccines such as SurVaxM, which targets survivin, represent two means through which NET-directed immunity may be modulated. The potential of these agents, if clinically realized, will likely improve outcomes for patients with well-differentiated GEP NETs.