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What have we learnt from the past - would treatment decisions for GEP-NET patients differ between 2012 to 2016 by the
Rahel Stiefel1, Kuno Lehmann2, Thomas Winder3,4
1Medical Oncology and Hematology, Triemli Hospital Zurich, Zurich, Switzerland.
Background:
Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are a heterogeneous group of tumors with a broad range of local and systemic treatment options. Still a lack of data regarding treatment sequences exists. The aim of this study was to analyse outcomes in GEP-NETs depending on stage and treatment steps and compare our treatment decisions to the latest treatment recommendations of European Society of Medical Oncology (ESMO) 2020 for GEP-NETs.
Methods:
Patients were included in this retrospective single-center analysis from 2012-2016. All patients suffering from a GEP-NET, who were screened, treated or evaluated at ENETS Center in Zurich, Switzerland were included in analysis. Patients with any other diagnosis of NET were not included. We used Kaplan Meier estimator as well as Cox regression to compare survival rates between different sites of localization, grades or stages and treatment sequences.
Results:
Overall, we identified 256 GEP-NETs, most in advanced stage (62%) and located in small intestine tract or pancreatic gland. Survival depended on stage, grade, primary site and duration of response for the early systemic treatment. On average patients underwent 2.6 different treatment modalities, mostly depending on stage and higher tumor grade. Surgery was performed early but also in advanced stages, usually followed by Somatostatine-Agonist modalities. In distant disease (Stage IV), we investigated a positive effect of PFS after treatment with Somatostatine Analogues (SSA) (hazard ratio [HR], 0.45; 95% confidence interval [CI], 0.21 - 0.97; p = 0.04) and systemic treatment (HR, 0.51; 95% CI, 0.26 - 0.99; p = 0.047) if patients underwent prior surgery or endoscopic resection. Kaplan Meier distributions predict shorter OS in distant disease (Stage IV), (Figure. 1; HR, 2.06; 95% CI, 1.46 - 2.89; log-rank test, p < 0.001).
Conclusion:
This retrospective analysis presents a great overview of all patients', disease and treatment characteristics of GEP-NETs at ENETS Center in Zurich, Switzerland. We illustrated survival (PFS) depending on implemented therapies. According to these findings, we formed a suggested treatment algorithm for advanced GEP-NETs, which does not differ from the latest treatment recommendation by ESMO guidelines for GEP-NETs. The results of this project may define GEP-NET patients' selection for upcoming clinical prospective studies.
Insights
Treatment sequences for gastroenteropancreatic neuroendocrine tumors (GEP-NETs) impact survival. Prior surgery improved outcomes in advanced GEP-NETs, aligning with ESMO guidelines and informing future clinical studies.
Area of Science:
- Oncology
- Gastroenterology
- Endocrinology
Background:
- Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are diverse, with varied treatment options but limited data on optimal sequences.
- Understanding treatment sequences is crucial for improving patient outcomes in GEP-NETs.
Purpose of the Study:
- To analyze outcomes in GEP-NETs based on stage and treatment sequences.
- To compare clinical treatment decisions with European Society of Medical Oncology (ESMO) 2020 guidelines.
Main Methods:
- Retrospective single-center analysis of 256 GEP-NET patients (2012-2016).
- Inclusion of patients screened, treated, or evaluated at an ENETS Center in Zurich.
- Survival rates compared using Kaplan-Meier estimator and Cox regression based on various factors and treatment sequences.
Main Results:
- Survival is influenced by stage, grade, primary site, and early systemic treatment response.
- Patients received an average of 2.6 treatment modalities, often dictated by stage and tumor grade.
- In Stage IV disease, prior surgery or endoscopic resection correlated with improved progression-free survival (PFS) after Somatostatine Analogues (SSA) and systemic treatment.
Conclusions:
- The study provides an overview of GEP-NET patient and treatment characteristics.
- A suggested treatment algorithm for advanced GEP-NETs aligns with current ESMO guidelines.
- Findings may aid in selecting patients for future clinical prospective studies.
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