The current study aimed to establish a novel nomogram to predict the overall survival of individual Chinese patients with gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs). Furthermore, this study sought to externally validate this nomogram using the Surveillance, Epidemiology, and End Results (SEER) database. The records of 1183 patients with GEP-NENs treated at five high-capacity institutions in China between 2005 and 2015 were retrospectively analysed. In addition, 10 236 GEP-NEN cases from the SEER database were included as an external validation set. A multivariate analysis using Cox proportional hazards (PHs) regression was performed, and a nomogram was constructed. Discrimination, calibration, and external validation were performed using the SEER data set. The multivariate Cox model indicated that age, tumour size, differentiation, lymph node metastases, and distant metastases were independent covariates associated with survival. With respect to the training set, the nomogram exhibited better discrimination power than TNM classification (Harrell’s concordance index (C-index): 0.837 vs 0.784, P=0.006). Discrimination was also excellent and superior to that of TNM classification for the SEER-based validation set (C-index: 0.808 vs 0.717, P<0.001). The calibrated nomogram predicted a survival rate that closely corresponded to the actual survival rate. We developed a nomogram that predicted the 3- and 5-year overall survival rates of patients with GEP-NENs. Validation revealed excellent discrimination and calibration for this nomogram, suggesting that it exhibits satisfactory clinical utility that might improve individualised predictions of survival risks and lead to the creation of additional clinical therapies.

Lymph node status is an important factor for the patients with non-functional pancreatic neuroendocrine tumors (NF-PanNETs) with respect to the surgical methods, prognosis, recurrence. Our aim is to develop and validate a combination model based on contrast-enhanced CT images to predict the lymph node metastasis (LNM) in NF-PanNETs. Retrospective data were gathered for 320 patients with NF-PanNETs who underwent curative pancreatic resection and CT imaging at two institutions (Center 1, n = 236 and Center 2, n = 84) between January 2010 and March 2022. RDPs (Radiomics deep learning signature) were developed based on ten machine-learning techniques. These signatures were integrated with the clinicopathological factors into a nomogram for clinical applications. The evaluation of the model’s performance was conducted through the metrics of the area under the curve (AUC). The RDPs showed excellent performance in both centers with a high AUC for predicting LNM and disease-free survival (DFS) in Center 1 (AUC, 0.88; 95% CI: 0.84–0.92; DFS, p < 0.05) and Center 2 (AUC, 0.91; 95% CI: 0.85–0.97; DFS, p < 0.05). The clinical factors of vascular invasion, perineural invasion, and tumor grade were associated with LNM (p < 0.05). The combination nomogram showed better prediction capability for LNM (AUC, 0.93; 95% CI: 0.89–0.96). Notably, our model maintained a satisfactory predictive ability for tumors at the 2-cm threshold, demonstrating its effectiveness across different tumor sizes in Center 1 (≤2 cm: AUC, 0.90 and >2 cm: AUC, 0.86) and Center 2 (≤2 cm: AUC, 0.93 and >2 cm: AUC, 0.91). Our RDPs may have the potential to preoperatively predict LNM in NF-PanNETs, address the insufficiency of clinical guidelines concerning the 2-cm threshold for tumor lymph node dissection, and provide precise therapeutic strategies. This work was supported by 10.13039/501100001691 JSPS KAKENHI Grant Number JP22K20814; the Rare Tumor Research Special Project of the 10.13039/501100001809 National Natural Science Foundation of China (82141104) and Clinical Research Special Project of Shanghai Municipal Health Commission (202340123).

Chromogranin A (CgA) not only plays an important role in pathologic diagnosis, but is also used as a circulating biomarker in patients with gastroenteropancreatic neuroendocrine neoplasm (GEP-NEN). However, the relationship between immunohistochemistry (IHC) expression and serum levels of CgA has not been investigated. The value of CgA for evaluating treatment response and prognosis is still not well understood. We conducted this study to assess the significance of CgA in GEP-NEN in terms of diagnosis, curative effects evaluation and prognosis. One hundred forty-five patients comprising 88 patients with active disease and 57 disease-free patients were enrolled in this study from January 2011 to November 2013. The expression of CgA was assessed by IHC, and serial serum CgA levels were measured by enzyme linked immunosorbent assay. The overall expression rate of CgA was 69.0% (100/145). CgA expression was associated with tumor site and stage (P < 0.05), but not correlated with prognosis (P = 0.07). Serum CgA levels were significantly higher in GEP-NEN patients with active disease when compared with disease-free patients (P = 0.001) or healthy participants (P < 0.001). A CgA cutoff value of 95 ng/ml discriminated between healthy subjects or disease-free patients and patients with active disease (sensitivity 51.2% and specificity 87.5%, respectively). There was a correlation between the CgA IHC expression and high serum CgA levels (R = 0.320, P = 0.002). Serum CgA levels were much higher in patients who classified as neuroendocrine carcinoma, mixed adenoendocrine carcinoma (P = 0.035) and who were on stage IV (P = 0.041). Changes in CgA levels normalization or ≥ 30% decrease suggested that patients had tumor response. Furthermore, patients with serum CgA levels higher than 95 ng/ml had a significantly shorter survival compared with patients with levels lower than 95 ng/ml (P < 0.001). CgA is a reliable pathologic and circulating maker for diagnosis of GEP-NEN. We further confirmed that serial measurement of CgA may be useful for evaluating the efficacy of different kinds of therapies in patients during follow-up, and serum CgA level ≥ 95 ng/ml may serve as a predictor of overall survial.

Gastroenteropancreatic neuroendocrine neoplasm (GEP‑NEN) is known to overexpress somatostatin receptors (SSTRs), most commonly SSTR2 and SSTR5. The expression of SSTRs on tumor cells forms the basis for somatostatin analog treatment of patients with NEN. The present study detected the expression of SSTR2 and SSTR5 in GEP‑NEN and investigated the efficacy and safety of octreotide long‑acting release (LAR) in the treatment of advanced gastroenteropancreatic neuroendocrine tumors (GEP‑NET) in China. The present study reported that functionality of the pancreas, G1 and G2 grading, NET classification and Tumor‑Node‑Metastasis stages I and II were associated with higher SSTR2 positive expression. Similarly, SSTR5 was increased in pancreatic and well‑differentiated tumors. SSTR2 and SSTR5 positive expression predicted improved survival in GEP‑NEN patients. The median overall survival of patients treated with octreotide LAR was not reached. The median time to progression was 20.2 months, with the objective response rate being 5.6% and the stable disease rate being 79.6%. A total of 25.9% of the patients experienced adverse drug reactions. In conclusion, the present study demonstrated that SSTR2 and SSTR5 are heterogeneously expressed in GEP‑NEN. Both markers may serve as potential prognostic factors. Octreotide LAR is effective and safe in the treatment of Chinese patients with advanced GEP‑NET.

Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are a heterogeneous group of rare tumors. Many issues in terms of epidemiologic features, pathogenesis, and treatment of GEP-NENs are still under discussion. Our study aimed to analyze the clinicopathologic characteristics and prognosis of Chinese patients with GEP-NENs. Complete clinicopathologic data and survival information of 1183 patients with GEP-NENs treated between 2005 and 2015 were collected from five medical centers in Guangdong Province, China. Patient survival was estimated using the Kaplan–Meier method and analyzed using the log-rank test; prognostic factors were analyzed using the Cox proportional hazards model. The most common tumor location was the rectum (37.4%), followed by the pancreas (28.1%), stomach (20.7%), small intestine (7.2%), appendix (3.4%), and colon (3.3%). After initial definitive diagnosis, 1016 (85.9%) patients underwent surgery. The 1-, 3-, and 5-year overall survival (OS) rates for the entire cohort were 87.9%, 78.5%, and 72.8%, respectively. The 3-year OS rates of patients with G1, G2, and G3 tumors were 93.1%, 82.7%, and 43.1%, respectively (P < 0.001). The 3-year OS rates of patients with stage I, II, III, and IV tumors were 96.0%, 87.3%, 64.0%, and 46.8%, respectively (P < 0.001). Patients with distant metastasis who underwent palliative surgery had a longer survival than those who did not (P = 0.003). Similar survival benefits of palliative surgery were observed in patients with neuroendocrine tumor (P = 0.031) or neuroendocrine carcinoma (P = 0.046). In multivariate analysis, age, grade, N category, M category, and surgery were found to be independent prognostic factors. Patients with GEP-NENs who are women, younger than 50 years old, have smaller tumor size, have lower tumor grade, have lower T/N/M category, and who undergo surgery can have potentially longer survival time. Our data showed that surgery can improve the prognosis of GEP-NEN patients with distant metastasis. However, randomized controlled trials need to be conducted to establish the optimal criteria for selecting patients to undergo surgery.