Progastrin-Releasing Peptide As a Diagnostic Biomarker of Pulmonary and Non-Pulmonary Neuroendocrine Neoplasms.

BACKGROUND: Progastrin-releasing peptide (ProGRP) is the precursor of the gastrin-releasing peptide, a neuropeptide secreted by cells of neural and endocrine origin. Recently, ProGRP has emerged as a circulating biomarker for small cell lung cancer (SCLC), a subtype of aggressive and poorly differentiated neuroendocrine neoplasm (NEN). Given the ability of the neuroendocrine SCLC cells to secrete this peptide, we performed an in-depth narrative review aimed at collecting, summarizing, and critically analyzing the available literature about the possible value of ProGRP as a biomarker for pulmonary NENs other than SCLC, and for NENs of non-pulmonary origin. METHODS: We conducted an extensive search on international databases (PubMed, Web of Science, and Scopus). RESULTS: We selected 21 pertinent published articles (12 original studies and 9 case reports). Overall, the original studies included 1,711 patients, and the case reports described the clinical course of 10 patients. CONCLUSION: The data analyzed suggest a potential role for ProGRP as a diagnostic biomarker for typical and atypical lung carcinoids, pulmonary large cell neuroendocrine carcinoma, medullary thyroid carcinoma, non-pulmonary neuroendocrine carcinomas, prostate cancer with neuroendocrine differentiation, and the pancreatobiliary neuroendocrine carcinoma. Despite these promising results, additional studies are needed, to clarify the role of ProGRP as the diagnostic biomarker for specific NENs.

Epidemiology of gastroenteropancreatic neuroendocrine neoplasms: a review and protocol presentation for bridging tumor registry data with the Italian association for neuroendocrine tumors (Itanet) national database.

Neuroendocrine neoplasms (NENs) are rare tumors with diverse clinical behaviors. Large databases like the Surveillance, Epidemiology, and End Results (SEER) program and national NEN registries have provided significant epidemiological knowledge, but they have limitations given the recent advancements in NEN diagnostics and treatments. For instance, newer imaging techniques and therapies have revolutionized NEN management, rendering older data less representative. Additionally, crucial parameters, like the Ki67 index, are missing from many databases. Acknowledging these gaps, the Italian Association for Neuroendocrine Tumors (Itanet) initiated a national multicenter prospective database in 2019, aiming to gather data on newly-diagnosed gastroenteropancreatic neuroendocrine (GEP) NENs. This observational study, coordinated by Itanet, includes patients from 37 Italian centers. The database, which is rigorously maintained and updated, focuses on diverse parameters including age, diagnostic techniques, tumor stage, treatments, and survival metrics. As of October 2023, data from 1,600 patients have been recorded, with an anticipation of reaching 3600 by the end of 2025. This study aims at understanding the epidemiology, clinical attributes, and treatment strategies for GEP-NENs in Italy, and to introduce the Itanet database project. Once comprehensive follow-up data will be acquired, the goal will be to discern predictors of treatment outcomes and disease prognosis. The Itanet database will offer an unparalleled, updated perspective on GEP-NENs, addressing the limitations of older databases and aiding in optimizing patient care. STUDY REGISTRATION: This protocol was registered in clinicaltriasl.gov (NCT04282083).

Predictive Factors of Response to Streptozotocin in Neuroendocrine Pancreatic Neoplasms.

Pancreatic neuroendocrine neoplasms (Pan-NENs) may exhibit a heterogeneous clinical course, ranging from indolent to progressive/metastatic behavior. In the latter scenario, streptozocin (STZ) is considered the cornerstone of systemic treatment; however, response to STZ-based chemotherapy may vary among individuals. In this narrative review, we aimed to identify the predictive factors of response to STZ in advanced Pan-NENs. We performed an extensive search in international online databases for published studies and ongoing clinical trials evaluating STZ in Pan-NENs. We found 11 pertinent studies evaluating 17 patient-, tumor-, or treatment-related factors. Age, CgA blood levels, tumor grade, Ki-67% index, anatomical location of the primary tumor, tumor stage, site of metastasis origin, liver tumor burden, extrahepatic spread, functional status, O6-methylguanine-methyltransferase (MGMT) status, line of therapy, and response to previous treatments were all statistically associated with radiological response and/or survival. The identified predictors may help clinicians make appropriate treatment decisions, in this way improving clinical outcomes in patients with advanced Pan-NENs.