An Analysis of Prognostic Factors in Pancreatic Neuroendocrine Tumors

2016 ◽  
Vol 6 (4) ◽  
Author(s):  
Moyana TN ◽  
Kendal WS
Keyword(s):  
Prognostic Factors ◽  
Neuroendocrine Tumors ◽  
Pancreatic Neuroendocrine Tumors

scholarly journals Clinical Characteristics and Prognostic Factors of Early-Onset Pancreatic Neuroendocrine Tumors

2021 ◽  
Vol 28 ◽  
pp. 107327482098682
Author(s):  
Min Shi ◽  
Biao Zhou
Keyword(s):  
Prognostic Factors ◽  
Neuroendocrine Tumors ◽  
Early Onset ◽  
Older Patients ◽  
Clinical Characteristics ◽  
Clinicopathological Characteristics ◽  
Pancreatic Neuroendocrine Tumors ◽  
Chi Square ◽  
Younger Patients ◽  
Significant Difference

Background: The incidence of pancreatic neuroendocrine tumors (PNETs) has increased significantly. The purpose of this study was to analyze the clinical characteristics and prognosis of patients under 50 years old. Methods: Patients with PNETs recorded in the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2015 were analyzed. The clinical characteristics were analyzed by Chi-square test. The Kaplan-Meier method was used to estimate overall survival (OS). Multivariate Cox proportional risk regression analysis was used to determine independent prognostic factors. Results: 2,303 patients included, of which 547 (23.8%) patients were younger than 50 years old. The number of younger patients has increased steadily, while the proportion in total PNETs decreased recently. Compared with older group, the proportion of the Black, grade I/II, and surgery were higher in early-onset PNETs. Liver was the most frequent metastatic site. There was no significant difference in the incidence of different metastatic sites between younger and older PNETs patients, while younger patients had better OS (P < 0.05). Grade, N stage, M stage, and surgery were independent prognostic factors for OS in early-onset PNETs. Conclusions: Younger patients have unique clinicopathological characteristics compared with older patients in PNETs. Better OS was observed in younger patients which might due to the higher proportion of well-differentiated tumor and surgery than older patients.

Streptozocin and 5-Fluorouracil for the Treatment of Pancreatic Neuroendocrine Tumors: Efficacy, Prognostic Factors and Toxicity

2015 ◽  
Vol 103 (3-4) ◽  
pp. 345-353 ◽  
Author(s):  
Pantelis Clewemar Antonodimitrakis ◽  
Anders Sundin ◽  
Cecilia Wassberg ◽  
Dan Granberg ◽  
Britt Skogseid ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Neuroendocrine Tumors ◽  
Pancreatic Neuroendocrine Tumors

Survival and prognostic factors in well-differentiated pancreatic neuroendocrine tumors

2014 ◽  
Vol 49 (6) ◽  
pp. 734-741 ◽  
Author(s):  
Raziye Boyar Cetinkaya ◽  
Morten Vatn ◽  
Lars Aabakken ◽  
Deidi S. Bergestuen ◽  
Espen Thiis-Evensen
Keyword(s):  
Prognostic Factors ◽  
Neuroendocrine Tumors ◽  
Pancreatic Neuroendocrine Tumors ◽  
Well Differentiated

scholarly journals Neutrophil Extracellular Traps and Macrophage Extracellular Traps Predict Postoperative Recurrence in Resectable Nonfunctional Pancreatic Neuroendocrine Tumors

2021 ◽  
Vol 12 ◽  
Author(s):  
Shuai-Shuai Xu ◽  
Hao Li ◽  
Tian-Jiao Li ◽  
Shuo Li ◽  
Huan-Yu Xia ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Neuroendocrine Tumors ◽  
Cox Regression ◽  
Information Criteria ◽  
Rank Test ◽  
Calibration Plot ◽  
Pancreatic Neuroendocrine Tumors ◽  
Regression Analyses ◽  
Who Grade ◽  
Extracellular Traps

BackgroundExtracellular traps (ETs) and tumor-infiltrating immune cells can contribute to disease progression. The clinical significance of tumor-infiltrating neutrophils and macrophages and related extracellular traps in pancreatic neuroendocrine tumors (pNETs) has not been fully elucidated. This study aimed to explore the prognostic value of tumor infiltration and ET formation by neutrophils and macrophages in pNETs.MethodsA total of 135 patients with radical resection of nonfunctional pNETs were analyzed retrospectively. Immunohistochemistry and immunofluorescence were utilized to stain tumor tissue sections. The recurrence-free survival (RFS) of subgroups determined by Kaplan-Meier analysis was compared with the log-rank test. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors. A nomogram was established to predict 3-year RFS.ResultsPatients with high tumor-infiltrating neutrophils or macrophages or positive expression of neutrophils ETs or macrophage ETs displayed worse RFS (all p&lt;0.05). Moreover, univariate and multivariate Cox regression analyses showed that neutrophil and macrophage infiltration and ETs were independent prognostic factors for RFS (all p&lt;0.05). A combined parameter including WHO grade, TNM stage, tumor-infiltrating neutrophils and macrophages, and neutrophil and macrophage ETs had the highest C-index (0.866) and lowest Akaike information criteria (326.557). The calibration plot of nomogram composed of the combined parameter exhibited excellent prognostic values for 3-year RFS.ConclusionsInfiltration and ETs by neutrophils and macrophages can be used as biological indicators of patient prognosis, suggesting the treatment potential for targeting those in nonfunctional pNETs.

scholarly journals Survival Nomograms for Patients with Pancreatic Neuroendocrine Tumors: A Population-based Study

2020 ◽  
Author(s):  
Bi Lin ◽  
Dinglai Yu ◽  
Shengchuan Chen ◽  
Daojie Wang ◽  
Chaohao Huang
Keyword(s):  
Risk Factors ◽  
Prognostic Factors ◽  
Neuroendocrine Tumors ◽  
Predictive Accuracy ◽  
Primary Site ◽  
Tnm Stage ◽  
Pancreatic Neuroendocrine Tumors ◽  
Multivariate Models ◽  
Training Set ◽  
Discrimination Power

Abstract Background: Although Pancreatic neuroendocrine tumors(PNETs) considered as indolent tumors, most patients are diagnosed at an advanced stage. Herein, we aimed to establish a nomogram to predict the survival of PNETs patients for clinical use via Surveillance, Epidemiology, and End Results (SEER) database. Methods: Based on the SEER program, the data of 1103 patients with PNETs were enrolled and randomly divided into training set and validation set. We performed Kaplan-Meier analysis, Cox proportional hazard regression analysis in training set to evaluate the value of prognostic factors. A nomogram was constructed obtained these independent prognostic factors for predicting overall survival(OS) and specific-cancer survival(CSS). C-index, calibration curve, decision curve analysis were used to evaluate the predictive accuracy of the nomogram. Results: Age, primary site, TNM stage, grade, and surgery were associated with OS and CSS in the multivariate models. Nomograms were established depend on these risk factors and had a better discrimination power than TMN stage. The validation technologies showed that the nomogram was able to predict 3- and 5-year OS and CSS accurately, and also proved the superiority. Age, primary site, TNM stage, grade, and surgery were associated with OS and CSS in the multivariate models. Conclusions: Nomograms were established depend on these risk factors and had a better discrimination power than TMN stage. The validation technologies showed that the nomograms were able to predict 3- and 5-year OS and CSS accurately, and also proved the superiority.

scholarly journals A Direct Comparison of Patients With Hereditary and Sporadic Pancreatic Neuroendocrine Tumors: Evaluation of Clinical Course, Prognostic Factors and Genotype–Phenotype Correlations

2021 ◽  
Vol 12 ◽  
Author(s):  
Przemysław Soczomski ◽  
Beata Jurecka-Lubieniecka ◽  
Aleksandra Krzywon ◽  
Alexander Jorge Cortez ◽  
Stanisław Zgliczynski ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Neuroendocrine Tumors ◽  
Advanced Disease ◽  
Stop Codon ◽  
Tumor Diameter ◽  
Missense Mutations ◽  
Pancreatic Neuroendocrine Tumors ◽  
Exon 2 ◽  
Hereditary Syndromes

IntroductionPancreatic neuroendocrine tumors (PNETs) in hereditary syndromes pose a significant challenge to clinicians. The rarity of these syndromes and PNETs itself make it difficult to directly compare them with sporadic PNETs. Despite research suggesting differences between these two entities, the same approach is used in hereditary and sporadic PNETs.MethodsWe included 63 patients with hereditary PNET (GpNET) and 145 with sporadic PNET (SpNET) in a retrospective observational study. Clinical and genetic data were collected in two Polish endocrine departments from January 2004 to February 2020. Only patients with confirmed germline mutations were included in the GpNET cohort. We attempted to establish prognostic factors of metastases and overall survival in both groups and genotype–phenotype correlations in the GpNET group.ResultsPatients with GpNET were younger and diagnosed earlier, whereas their tumors were smaller and more frequently multifocal compared with patients with SpNET. Metastases occurred more frequently in the SpNET group, and their appearance was associated with tumor size in both groups. GpNET patients had longer overall survival (OS). OS was affected by age, age at diagnosis, sex, grade, stage, tumor diameter, occurrence and localization of metastases, type of treatment, and comorbidities. In the MEN1 group, carriers of frameshift with STOP codon, splice site, and missense mutations tended to have less advanced disease, while patients with mutations in exon 2 tended to have metastases more frequently.ConclusionsDirect comparisons of GpNET and SpNET demonstrate significant differences in the clinical courses of both entities, which should force different approaches. A larger group of patients with GpNET should be assessed to confirm genotype–phenotype correlations.

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