摘要
BACKGROUND The prognosis of patients with poorly differentiated gastric neuroendocrine neoplasms(PDGNENs)is dismal and related research is limited.AIM To investigate the prognostic factors,and validate a novel prognostic nomogram for PDGNEN patients.METHODS We conducted a retrospective study using clinical and pathological data from PDGNEN patients treated at the First Medical Center of the Chinese PLA General Hospital from January 2000 to June 2023.Overall survival(OS)differences were assessed with the Log-rank test and Kaplan-Meier survival curves.Cox regression analysis identified independent risk factors for prognosis.Model performance was evaluated using Harrell’s concordance index,receiver operating characteristic analysis,area under the curve,calibration curves,and decision curve analysis(UDC),including the area under the UDC.RESULTS The study included 336 patients(227 with neuroendocrine carcinoma and 109 with mixed adenoneuroendocrine carcinoma).The average age was 62.7 years.The cohort comprised 80(24.7%)patients in stage I,146(42.9%)in stage II,62(18.1%)in stage III,and 48(14.3%)in stage IV.Significant differences in OS were observed across tumor-node-metastasis stages(P<0.001).Multivariate analysis showed age,Ki-67 index,invasion depth,lymph node metastasis,distant metastasis,and platelet-to-lymphocyte ratio as independent risk factors.We developed a nomogram with a concordance index of 0.779(95%confidence interval:0.743-0.858).Receiver operating characteristic analysis showed area under the curves for 1-year,3-year,and 5-year OS predictions of 0.865,0.850,and 0.890,respectively.The calibration curve demonstrated good agreement with actual outcomes.The area under the UDC for the nomogram vs the 8th American Joint Committee on Cancer tumor-node-metastasis staging system were 0.047 vs 0.027,0.291 vs 0.179,and 0.376 vs 0.216 for 1-year,3-year,and 5-year OS,respectively.CONCLUSION PDGNENs are predominantly found in older men,often in advanced stages at diagnosis,resulting in poor prognosis.The established nomogram demonstrates strong predictive capability and clinical utility.
