Objective: To study the value of Onodera's prognostic nutrition index (PNI) in patients with gastric neuroendocrine cancer (G-NEC).
Methods: The clinical data on 148 cases of G-NEC presented between March 2010 and April 2022 were retrospectively analyzed. The relationship between the clinical characteristics of the patients and PNI was analyzed. Optimal PNI cutoff values for G-NEC prognosis prediction were calculated using the X-tile software. The survival curves were created using the Kaplan-Meier method. A Cox proportional hazards model was also established to identify independent prognostic factors that impact the prognosis of patients with G-NEC.
Results: The median overall survival (OS) rate was 30 months (range 6-127 months), and the OS rates at 1, 3 and 5 years were 89.2, 71.6 and 68.2%, respectively. The mean PNI of the 148 patients before the operation was 49.5 ± 8.0. The mean PNI of patients with anemia ( < 0.001) and abnormal carcinoembryonic antigen ( = 0.039) was significantly lower than that of patients without such comorbidities. The mean PNI of patients with Stage III tumors ( < 0.001) and postoperative complications was significantly lower ( = 0.005). PNI optimal cutoff values were 50 ( < 0.001). Based on the cut-off value of the PNI, these patients were divided into a PNI-high group (PNI ≥ 50.0, = 77) and a PNI-low group (PNI < 50.0, = 71). The PNI-high group had a significantly better 5-years OS rate compared with the PNI-low group (76.6% vs. 59.2%, = 14.7, < 0. 001). Multivariate analysis demonstrated that PNI and pathological stage were independent prognostic factors for patients with G-NEC. In the subgroup analysis, OS rates were significantly lower in the PNI-low group than in the PNI-high group among patients with stage I and stage III of the disease.
Conclusion: The PNI is a simple and useful marker for predicting long-term outcomes in G-NEC patients regardless of tumor stage. Based on our results, we suggest that PNI should be included in routine assessments of patients with G-NEC.
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http://dx.doi.org/10.3389/fnut.2023.1043550 | DOI Listing |
Background: Survival rates after a diagnosis of cancer are improving. Poorly managed gastrointestinal (GI) side effects can interfere with delivery of curative cancer treatment. Long-term physical side effects of cancer therapy impinge on quality of life in up to 25% of those treated for cancer, and GI side effects are the most common and troublesome.
View Article and Find Full Text PDFWorld J Gastroenterol
February 2025
Department of Gastrointestinal Surgery, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Background: Gastric mixed-adenoneuroendocrine carcinoma (G-MANEC) is a subtype of gastric cancer. Building upon prior research findings, we propose that tumours containing both neuroendocrine carcinoma (NEC) and adenocarcinoma (AC) components, with each component ranging from 1% to 99% of the tumour, be classified as a distinct entity. We hereby term this adenoneuroendocrine mixed gastric cancer (G-ANEC).
View Article and Find Full Text PDFIntern Med
March 2025
Department of Gastroenterology and Hepatology, Kurashiki Central Hospital, Japan.
A 77-year-old man with large-cell gastric neuroendocrine carcinoma underwent palliative total gastrectomy after 10 cycles of carboplatin and etoposide chemotherapy for severe tumor bleeding. Despite a histological grade 0 therapeutic effect, the remnant lesions were treated with paclitaxel and ramucirumab, but progression occurred after two cycles. Nivolumab monotherapy was then initiated, resulting in complete remission after three cycles.
View Article and Find Full Text PDFObjectives: The endoscopic features of gastric neuroendocrine tumors (G-NETs) remain unclarified. The present study investigated the endoscopic features of G-NETs in relation to the clinicopathological findings.
Methods: This retrospective study analyzed consecutive patients with G-NETs who received endoscopic or surgical treatment between January 2005 and December 2023.
Genes (Basel)
January 2025
National Center for Drug Research and Evaluation, National Institute of Health Viale Regina Elena 299, 00161 Rome, Italy.
: Gastro-entero-pancreatic neuroendocrine tumors (GEP-NETs) are the most prevalent subgroup among NETs and include heterogeneous tumors characterized by different clinical behavior and prognosis. The NETest is a tool based on real-time PCR combined with deep learning strategies to specifically identify tumors with a neuroendocrine genotype. Despite the promising results achieved regarding its utility in the field of GEP-NETs, the NETest has not yet entered into routine clinical practice.
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