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Introduction: Peptide receptor radionuclide therapy (PRRT) is a treatment option for well-differentiated, somatostatin receptor positive, unresectable or/and metastatic neuroendocrine tumors (NETs). Although high disease control rates seen with PRRT a significant number NET patients have a short progression-free interval, and currently, there is a deficiency of effective biomarkers to pre-identify these patients. This study is aimed at determining the prognostic significance of biomarkers on survival of patients with NETs in initial PRRT treatment.
Methodology: We retrospectively analyzed 51 patients with NETs treated with PRRT at the Department for nuclear medicine, University Clinical Center Kragujevac, Serbia, with a five-year follow-up. Eligible patients with confirmed inoperable NETs, were retrospectively evaluated hematological, blood-based inflammatory markers, biochemical markers and clinical characteristics on disease progression. In accordance with the progression og the disease, the patients were divided into two groups: progression group (n=18) and a non-progression group (n=33). Clinical data were compared between the two groups.
Results: A total of 51 patients (Md=60, age 25-75 years) were treated with PRRT, of whom 29 (56.86%) demonstrated stable disease, 4 (7.84%) demonstrated a partial response, and 14 (27.46%) demonstrated progressive disease and death was recorded in 4 (7.84%) patients. The mean PFS was a 36.22 months (95% CI 30.14-42.29) and the mean OS was 44.68 months (95% CI 37.40-51.97). Univariate logistic regression analysis displayed that age (p<0.05), functional tumors (p<0.05), absolute neutrophil count (p<0.05), neutrophil-lymphocyte ratio-NLR (p<0.05), C-reactive protein-CRP (p<0.05), CRP/Albumin (p<0.05), alanine aminotransferase-ALT (p<0.05), were risk factors for disease progression. Multivariate logistic regression analysis exhibited that functional tumors (p<0.001), age (p<0.05), CRP (p<0.05), and ALT (p<0.05), were independent risk factors for the disease progression in patients with NETs. Tumor functionality was the most powerful prognostic factor. The median PFS (11.86 ± 1.41 vs. 43.38 ± 3.16 months; p=0.001) and OS (21.81 ± 2.70 vs 53.86 ± 3.70, p=0.001) were significantly shorter in patients with functional than non-functional NETs respectively.
Conclusion: The study's results suggest that tumor functionality, and certain biomarkers may serve as prognostic survival indicators for patients with NETs undergoing PRRT. The findings can potentially help to identify patients who are at higher risk of disease progression and tailor treatment strategies accordingly.
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http://dx.doi.org/10.3389/fendo.2023.1270421 | DOI Listing |
Virchows Arch
September 2025
Institute of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany.
Mixed neuroendocrine and non-neuroendocrine neoplasms (MiNEN) represent a heterogeneous group of bidirectionally differentiated epithelial malignancies that are, in most cases, highly aggressive. They are defined by the presence of morphologically distinct, yet clonally related, neuroendocrine and non-neuroendocrine components, each comprising at least 30% of the tumor mass according to current guidelines. Tumors that fall within the differential diagnostic spectrum of MiNEN include amphicrine carcinomas-characterized by the co-expression of neuroendocrine and non-neuroendocrine features within the same tumor cell-as well as conventional carcinomas that lack neuroendocrine morphology but exhibit immunohistochemical expression of neuroendocrine markers.
View Article and Find Full Text PDFRev Gastroenterol Mex (Engl Ed)
September 2025
Facultad de Ciencias de la Salud, Universidad Icesi, Cali, Colombia; Departamento de Medicina Interna, Servicio de Gastroenterología, Fundación Valle del Lili, Cali, Colombia. Electronic address:
Introduction And Aim: Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare neoplasms originating in neuroendocrine cells from the gastric mucosa and submucosa, small intestine, large intestine, rectum, and pancreas. Our aim was to describe their histopathologic, endoscopic, and clinical characteristics and the experience with these tumors at a tertiary care hospital center in the Colombian Southwest.
Materials And Methods: A retrospective, analytic, observational, and descriptive study included 93 patients diagnosed with GEP-NETs, within the time frame of 2018 and 2022.
Surgery
September 2025
Ellen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, Weston, FL. Electronic address:
Introduction: Appendiceal neuroendocrine neoplasms are rare lesions which are generally incidentally discovered during or after appendectomies. Recent advances have refined their classification and improved diagnostic rates, highlighting their distinct pathologic and clinical presentations. The present study aimed to assess the characteristics and outcomes of appendiceal neuroendocrine neoplasms using data from the U.
View Article and Find Full Text PDFNeuro Endocrinol Lett
September 2025
Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, China.
Background: Pheochromocytomas and paragangliomas (PPGLs) are rare catecholamine-secreting neuroendocrine tumors originating from the embryonic neural crest. Approximately 30% of PPGLs are hereditary and are frequently associated with genetic syndromes, including neurofibromatosis type 1 (NF1). Composite PPGLs, which include components of both PPGLs and related tumors such as ganglioneuromas, are extremely rare in NF1 patients.
View Article and Find Full Text PDFJ Biomed Opt
September 2025
Leibniz University Hannover, Hannover Centre for Optical Technologies, Hannover, Germany.
Significance: Melanoma's rising incidence demands automatable high-throughput approaches for early detection such as total body scanners, integrated with computer-aided diagnosis. High-quality input data is necessary to improve diagnostic accuracy and reliability.
Aim: This work aims to develop a high-resolution optical skin imaging module and the software for acquiring and processing raw image data into high-resolution dermoscopic images using a focus stacking approach.