Horm Metab Res 2021; 53(05): 319-325
DOI: 10.1055/a-1464-1276
Endocrine Care

Distinct Prognostic Factors in Sporadic and Multiple Endocrine Neoplasia Type 1-Related Pancreatic Neuroendocrine Tumors

Authors

  • Sapir Kon Kfir

    1   Department of Internal Medicine D, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel
  • Reut Halperin

    1   Department of Internal Medicine D, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel
    2   Division of Endocrinology and Metabolism, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel
  • Ruth Percik

    2   Division of Endocrinology and Metabolism, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel
    3   Endo-oncology Clinic, Cancer Center, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel
    4   Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
  • Inbal Uri

    2   Division of Endocrinology and Metabolism, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel
    3   Endo-oncology Clinic, Cancer Center, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel
    4   Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
  • Naama Halpern

    4   Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
    5   GI Unit, Cancer Center, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel
  • Gadi Shlomai

    1   Department of Internal Medicine D, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel
    2   Division of Endocrinology and Metabolism, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel
    4   Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
  • Ido Laish

    4   Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
    6   Gastroenterology Institute, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel
  • Amir Tirosh

    2   Division of Endocrinology and Metabolism, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel
    4   Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
  • Amit Tirosh

    2   Division of Endocrinology and Metabolism, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel
    4   Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
    7   Neuroendocrine Tumors Service, Sheba Medical Center at Tel Hashomer, Tel Hashomer, Israel

Abstract

Pancreatic neuroendocrine tumors (PNET) may develop sporadically or in the context of hereditary syndromes. In patients with multiple endocrine neoplasia type 1 (MEN1), PNET is the leading cause of death. Our aim was to compare the mortality risk in sporadic and MEN1-related PNETs and identify high-risk populations. A retrospective Surveillance, Epidemiology, and End Results database analysis of patients with PNET was used. Patients with MEN1 were defined by syn/metachronous pituitary adenoma. Clinical data were retrieved, and all-cause mortality (ACM) risk was compared in univariate and multivariable analyses. The cohort included 569 patients (46.6% males) with sporadic (n=542) and MEN1-related (n=27) PNETs. Age at diagnosis of MEN1-related PNET was significantly younger than with sporadic PNETs (mean age 49.2±16.7 vs. 61.6±12.7 years, respectively; p < 0.001). Survival analysis showed a trend for a better outcome in patients with MEN1-related vs. sporadic PNET (Log-rank, p=0.09) and in subgroup analysis for patients with advanced disease (p=0.08). Furthermore, among patients followed expectantly, those with MEN1-related PNET had lower ACM risk than their sporadic counterparts (p=0.08). Multivariable analysis demonstrated lower ACM risk in patients diagnosed with MEN1 (hazard ratio 0.35, 95% confidence interval 0.11–1.2, p=0.09), further supporting the trend detected in the univariate analysis. In conclusion, our study demonstrates the distinct clinical profile of patients with MEN1-related PNET compared to sporadic disease and emphasizes the expertise required to accurately manage patients with PNET in this rare context. The cautious decision-making required before embarking on surgical intervention is further emphasized in this robust analysis of a large cancer database.



Publication History

Received: 24 January 2021

Accepted after revision: 17 March 2021

Article published online:
20 April 2021

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