Prediction of disease recurrence in patients after complete pancreatic NET G2 resection
Author:
Olearska Helena1ORCID, Sowa-Staszczak Anna2, Morawiec-Sławek Karolina2, Kurzyńska Anna2, Kolasa Magdalena3, Tkacz Edyta4, Szumińska Małgorzata4, Hubalewska-Dydejczyk Alicja2, Opalińska Marta2ORCID
Affiliation:
1. Uniwersytet Jagielloński Collegium Medicum 2. Jagiellonian University in Kraków Medical College: Uniwersytet Jagiellonski w Krakowie Collegium Medicum 3. Jagiellonian University Medical College: Uniwersytet Jagiellonski w Krakowie Collegium Medicum 4. University Hospital in Krakow: Szpital Uniwersytecki w Krakowie
Abstract
Abstract
Introduction
The number of detected pancreatic neuroendocrine tumors (PanNETs) is increasing over the last decades. Surgical resection remains the only potentially curative treatment, yet the management is still controversial. This study aimed to compare patients after radical PanNET G2 resection to determine the most important predictive factors for relapse.
Material and methods
All patients with histologically confirmed PanNET G2 who underwent the successful surgery between 2006-2020 with intention of radical treatment were enrolled.
Results
There was forty-four patients eligible for the analysis. The average follow-up was 8.39±4.5 years. The disease recurrence was observed in 16 (36.36%) patients. The dominant location of the primary tumor was the tail of the pancreas (43.18%), especially in the subgroup with the disease recurrence (56.25%). The relationship between the largest dimension of the tumor with a division of <4 cm vs >4 cm and the relapse was close to statistical significance (p=0.077). Recurrence was associated with a larger tumor size (p=0.018). There was a statistically significant relationship and a weak correlation between Ki-67 (p=0,036, V Cramer=0,371) and disease relapse.
Conclusion
The most important predictive factors of the NET G2 recurrence after radical surgery were Ki67 over 5% and the largest dimension of tumor over 4cm.
Publisher
Research Square Platform LLC
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