Prognostic factors for gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs): what’s better?

Milione, Massimo

doi:10.1007/s12020-017-1299-0

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…While the prognostic factors of GEP-NECs are still uncertain, prognostic factors of GEP-NETs were used as variables to be included in the nomogram model. Existing studies have shown that older age, male sex, high tumor stage, and low tumor differentiation are markers of poor tumor prognosis, and tumors originating in the pancreas have the worst prognosis (16)(17)(18)(19)(20)(21)(22)(23). Therefore, we identified several factors, including age, sex, tumor site, tumor grade, and tumor-node-metastasis (TNM) stage.…”

Section: Selection Of Clinical Variablesmentioning

confidence: 99%

Establishment and validation of a clinicopathological prognosis model of gastroenteropancreatic neuroendocrine carcinomas

Chen

Liu

et al. 2022

Front. Oncol.

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BackgroundGastroenteropancreatic neuroendocrine carcinomas (GEP-NECs) are a rare, highly malignant subset of gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs). However, how to predict the prognosis of GEP-NECs by clinical features is still under study. This study aims to establish and validate a nomogram model of overall survival (OS) in patients with GEP-NECs for predicting their prognosis.MethodsWe selected patients diagnosed with GEP-NECs from the Surveillance, Epidemiology, and End Results (SEER) database and two Chinese hospitals. After randomization, we divided the data in the SEER database into the train cohort and the test cohort at a ratio of 7:3 and used the Chinese cohort as the validation cohort. The Cox univariate and multivariate analyses were performed to incorporate statistically significant variables into the nomogram model. We then established a nomogram and validated it by concordance index (C-index), calibration curve, receiver operating characteristic (ROC) curve, the area under the curve (AUC), and the decision curve analysis (DCA) curve.ResultsWe calculated the nomogram C-index as 0.797 with a 95% confidence interval (95% CI) of 0.783–0.815 in the train cohort, 0.816 (95% CI: 0.794–0.833) in the test cohort and 0.801 (95% CI: 0.784–0.827) in the validation cohort. Then, we plotted the calibration curves and ROC curves, and AUCs were obtained to verify the specificity and sensitivity of the model, with 1-, 3- and 5-year AUCs of 0.776, 0.768, and 0.770, respectively, in the train cohort; 0.794, 0.808, and 0.799 in the test cohort; 0.922, 0.925, and 0.947 in the validation cohort. The calibration curve and DCA curves also indicated that this nomogram model had good clinical benefits.ConclusionsWe established the OS nomogram model of GEP-NEC patients, including variables of age, race, sex, tumor site, tumor grade, and TNM stage. This model has good fitting, high sensitivity and specificity, and good clinical benefits.

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Section: Selection Of Clinical Variablesmentioning

confidence: 99%

Establishment and validation of a clinicopathological prognosis model of gastroenteropancreatic neuroendocrine carcinomas

Chen

Liu

et al. 2022

Front. Oncol.

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New Concepts in Pathology

Milione

Cattaneo

Mangogna

2021

Neuroendocrine Neoplasia Management

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KI-67 heterogeneity in well differentiated gastro-entero-pancreatic neuroendocrine tumors: when is biopsy reliable for grade assessment?

et al. 2017

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By coupling the results from these two different approaches we show that both biopsy size and non-neoplastic component must be taken into account for biopsy adequacy. In particular, we can speculate that if the minimum biopsy area, necessary to confidently (80% concordance) grade gastro-entero-pancreatic neuroendocrine tumors on virtual biopsies ranges between 15 and 30 mm, and if real biopsies are on average composed of only 80% of neoplastic tissue, then biopsies with a surface area not <12 mm should be performed; using 18G needles, this corresponds to a minimum total length of 15 mm.

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Prognostic factors for gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs): what’s better?

Cited by 5 publications

References 14 publications

Establishment and validation of a clinicopathological prognosis model of gastroenteropancreatic neuroendocrine carcinomas

Establishment and validation of a clinicopathological prognosis model of gastroenteropancreatic neuroendocrine carcinomas

New Concepts in Pathology

KI-67 heterogeneity in well differentiated gastro-entero-pancreatic neuroendocrine tumors: when is biopsy reliable for grade assessment?

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