Long-acting somatostatin analogues in the treatment of unresectable/metastatic neuroendocrine tumors

2017 ◽  
Vol 44 (2) ◽  
pp. 141-156 ◽  
Author(s):  
Thomas Enzler ◽  
Tito Fojo
2018 ◽  
Vol 36 (4_suppl) ◽  
pp. 514-514
Author(s):  
Alberto Pimentel ◽  
Abdel Karim Dip Borunda ◽  
Luis Jonathan Bueno Rosario ◽  
Gloria Martinez Martinez ◽  
Miguel Angel Pluma ◽  
...  

514 Background: Gastroenteropancreatic neuroendocrine tumors (GEP NET´s) are infrequent tumors, with a variety of symptoms depending of the kind of peptide they secrete as well as the affected organs. Long acting somatostatin analogues have shown an adequate rate of symptom control in functional tumors, they also have demonstrated antiproliferative effect, which is translated in a significant improvement of progression free and overall survival Methods: In this retrospective analysis of patients with metastatic GEP NET treated with long acting somatostatin analogues as first line, treated between 2005 and 2015, we evaluated clinical and pathological features, symptoms, disease control and survival adjusted with OMS classification Results: Our cohort included 95 patients with a mean age of 53 years. Primary affected sites were midgut (29.4%), followed by pNET (17.%), stomach (14.7%), and primary unknown in 14%. 20% of cases were functional tumors with diarrhea as the most common symptom in 70% and flushing in 50%. Considering the whole cohort the most prevalent symptom was abdominal pain in the 50% of cases. The OMS classification showed low grade tumors in 65% and 35% intermediate grade. Most common metastatic organ sites were; liver only 35%, liver and other 30%, peritoneum 10% and lymph nodes in 6%, non-specified sites in 19%. Somatostatine analogues used in first line were octreotide in 80% and lanreotide in 20%. Survival results demonstrated a progression free survival for the whole cohort of 84months. No differences between lanreotide and octreotide were observed. Conclusions: This study represents the first Mexican cohort of patients with GEP NET’s treated with somatostatin analogues with a long follow up.


2017 ◽  
Vol 28 ◽  
pp. iii66
Author(s):  
Markovich Alla ◽  
Nadezhda Orel ◽  
Armen Margaryan ◽  
Alexander Kuzminov ◽  
Galina Emelyanova ◽  
...  

2014 ◽  
Vol 25 ◽  
pp. ii60
Author(s):  
Alla Markovich ◽  
Emelyanova Galina ◽  
Gorbunova Vera ◽  
Orel Nadezhda ◽  
Kuzminov Alexander ◽  
...  

2015 ◽  
Vol 22 (6) ◽  
pp. 933-940 ◽  
Author(s):  
Jonathan R Strosberg ◽  
James C Yao ◽  
Emilio Bajetta ◽  
Mounir Aout ◽  
Bert Bakker ◽  
...  

Somatostatin analogues (SSA) have demonstrated antiproliferative activity in addition to efficacy for carcinoid symptom control in functional neuroendocrine tumors (NET). Apost hocanalysis of the placebo arm of the RAD001 In Advanced Neuroendocrine Tumors-2 (RADIANT-2) study was conducted to assess the efficacy of octreotide long-acting repeatable (LAR) on progression-free survival (PFS) and overall survival (OS) estimated using the Kaplan–Meier method. Out of 213 patients randomized to placebo plus octreotide LAR in RADIANT-2, 196 patients with foregut, midgut, or hindgut NET were considered for present analysis. Of these, 41 patients were SSA-treatment naïve and 155 had received SSA therapy before study entry. For SSA-naïve patients, median PFS by adjudicated central review was 13.6 (95% CI 8.2–22.7) months. For SSA-naïve patients with midgut NET (n=24), median PFS was 22.2 (95% CI 8.3–29.5) months. For patients who had received SSA previously, the median PFS was 11.1 (95% CI 8.4–14.3) months. Among the SSA-pretreated patients who had midgut NET (n=119), the median PFS was 12.0 (95% CI 8.4–19.3) months. Median OS was 35.8 (95% CI 32.5–48.9) months for patients in the placebo plus octreotide LAR arm; 50.6 (36.4 – not reached) months for SSA-naïve patients and 33.5 (95% CI 27.5–44.7) months for those who had received prior SSA. Thispost hocanalysis of the placebo arm of the large phase 3 RADIANT-2 study provides data on PFS and OS among patients with progressive NET treated with octreotide therapy.


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