The Role of Alternative Lymph Node Classification Systems in Gastroenteropancreatic Neuroendocrine Neoplasms (GEP-NEN): Superiority of a LODDS Scheme Over N Category in Pancreatic NEN (pNEN)

Author:

Krieg Sarah1,Tunk Johannes2,Vaghiri Sascha2,Prassas Dimitrios2,Jann Henning3,Mohr Raphael3,Loosen Sven Heiko1,Roderburg Christoph1,Maasberg Sebastian4,Begum Nehara5,Luedde Tom1,Schott Matthias6,Giesel Frederik7,Knoefel Wolfram Trudo2,Krieg Andreas2ORCID,

Affiliation:

1. Clinic for Gastroenterology, Hepatology and Infectious Diseases, Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany

2. Department of Surgery (A), Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany

3. Department of Hepatology and Gastroenterology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum (CVK) and Campus Charité Mitte (CCM), Berlin, Germany

4. Department of Internal Medicine and Gastroenterology, Asklepios Klinik St. Georg, Hamburg, Germany

5. Department of General-, Visceral-, Thoracic- and Endocrine Surgery, Johannes Wesling Hospital Minden, Minden, Germany

6. Division for Specific Endocrinology, Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany

7. Department of Nuclear Medicine, Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany

Abstract

AbstractLymph node (LN) involvement in gastroenteropancreatic neuroendocrine neoplasms (GEP-NEN) has been reported to have prognostic and therapeutic implications. Numerous novel LN classifications exist; however, no comparison of their prognostic performance for GEP-NEN has been done yet. Using a nationwide cohort from the German Neuroendocrine Tumor (NET) Registry, the prognostic and discriminatory power of different LN ratio (LNR) and log odds of metastatic LN (LODDS) classifications were investigated using multivariate Cox regression and C-statistics in 671 patients with resected GEP-NEN. An increase in positive LN (pLN), LNR, and LODDS was associated with advanced tumor stages, distant metastases, and hormonal functionality. However, none of the alternative LN classifications studied showed discriminatory superiority in predicting prognosis over the currently used N category. Interestingly, in a subgroup analysis, one LODDS classification was identified that might be most appropriate for patients with pancreatic NEN (pNEN). On this basis, a nomogram was constructed to estimate the prognosis of pNEN patients after surgery. In conclusion, a more accurate classification of LN status may allow a more precise prediction of overall survival and provide the basis for individualized strategies for postoperative treatment and surveillance especially for patients with pNEN.

Publisher

Georg Thieme Verlag KG

Subject

Biochemistry (medical),Clinical Biochemistry,Endocrinology,Biochemistry,General Medicine,Endocrinology, Diabetes and Metabolism

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