ArticleMedicine2019
The prognostic analysis of different metastatic patterns in pancreatic neuroendocrine tumors patients: A population based analysis.
Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Male Breast Cancer Brain Metastases: Genetic Profiles and Radiosurgery Outcomes.Neurosurgery practice · 2025Article
- Distinct clinicopathological features of neuroendocrine liver metastases originating from the pancreas and rectum.World journal of surgical oncology · 2024Article
- Comparison of Metastatic Patterns Among Neuroendocrine Tumors, Neuroendocrine Carcinomas, and Nonneuroendocrine Carcinomas of Various Primary Organs.Journal of Korean medical science · 2023Article
- Neuroendocrine neoplasia and bone (Review).Experimental and therapeutic medicine · 2021Review
- Prognosis analysis of patients with pancreatic neuroendocrine tumors after surgical resection and the application of enucleation.World journal of surgical oncology · 2021Article
- Prognostic Analysis of Different Metastatic Patterns in Invasive Intraductal Papillary Mucinous Neoplasm: A Surveillance, Epidemiology, and End Results Database Analysis.Canadian journal of gastroenterology & hepatology · 2021Article
- Clinical Characteristics and Prognostic Factors of Early-Onset Pancreatic Neuroendocrine Tumors.Cancer control : journal of the Moffitt Cancer CenterArticle
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4 authors.
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Abstract
objectiveTo evaluate the prognostic value of pancreatic neuroendocrine tumors (pNETs) with different metastatic patterns.
methodsData of pNETs cases were extracted from the Surveillance, Epidemiology, and End Result (SEER) database. They were classified according to the different metastatic patterns. We utilized chi-square test to compare the clinical and metastasis characteristics among different groups. We used Kaplan-Meier analysis and log-rank testing for survival comparisons. Adjusted HRs with 95% CIs was calculated using Cox regression model to estimate prognostic factors. P < .05 was considered statistically significant.
resultsAmong the 3909 patients, liver is the most metastatic organ, and isolated brain metastasis is the least common. At the same time, many patients have had multiple metastases. We studied the overall survival (OS) and cancer-specific survival (CCS) of the groups. OS: Non-organ metastasis: 5-year OS = 77.1%; Bone metastasis: median survival time (MST) = 56 m, 5-year OS = 42.7%; Liver metastasis: MST = 24 m, 5-year OS = 25.5%; Lung metastasis: MST = 14 m, 5-year OS = 33.7%; multiple metastases: MST = 7m, 5-year OS = 12.0%. CCS: Non-organ metastasis: 5-year OS = 84.2%; Bone metastasis: 5-year OS = 52.5%; Liver metastasis: MST = 27 m, 5-year OS = 28.6%; Lung metastasis: MST = 49 m, 5-year OS = 40.1%; multiple metastases: MST = 8 m, 5-year OS = 14.5%. In addition, the results showed that there were all statistical significances between the surgery and the no surgery group (all, P < .001). Multivariate analysis revealed that brain metastasis, multiple metastases, age over 60 years, unmarried, grade III/IV, regional/distant and no surgery were independently associated with decreased OS and CCS.
conclusionspNETs patients without organ metastasis had the best survival outcomes, while multiple had the worst outcomes. There were no significant differences in bone metastasis, liver metastasis and lung metastasis. Surgery was still an option for patients with metastasis.
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