Efficacy of surufatinib in advanced Grade 3 neuroendocrine tumors: a real-world, national, multicenter study

Jian Wang1, Ning Zhang2, Yun Liang3

  • 1Department of Medical Oncology, Qilu Hospital of Shandong University, Jinan, China.

Abstract

Insights

Surufatinib shows promise for treating well-differentiated Grade 3 neuroendocrine tumors (G3 NETs). Lower Ki-67 index (≤30%) correlated with longer progression-free survival (PFS) in patients receiving this targeted therapy.

Area of Science:

  • Oncology
  • Pharmacology
  • Medical Research

Background:

  • Well-differentiated Grade 3 neuroendocrine tumors (G3 NETs) are a challenging group with few standard treatments.
  • Surufatinib, a targeted therapy, has demonstrated effectiveness in lower-grade NETs, but its role in G3 NETs requires further investigation.
  • Optimal patient selection for surufatinib in G3 NETs remains an area needing clarification.

Purpose of the Study:

  • To assess the real-world effectiveness of surufatinib in patients with G3 NETs.
  • To identify clinical factors influencing progression-free survival (PFS) in this patient cohort.
  • To explore the impact of combination therapy versus monotherapy.

Main Methods:

  • A retrospective, multicenter observational study involving 77 patients with unresectable or metastatic G3 NETs (Ki-67 > 20%) treated with surufatinib in China.
  • Data collected between January 2021 and April 2024.
  • Progression-free survival (PFS) was the primary endpoint, analyzed using multivariable Cox proportional hazards models to identify prognostic factors.

Main Results:

  • The median PFS was 9.4 months, with an objective response rate (ORR) of 22.1%.
  • Patients with a Ki-67 index ≤30% experienced significantly longer PFS (12.6 months) compared to those with Ki-67 > 30% (9.0 months; p=0.003).
  • Combination therapy showed a trend towards higher ORR but did not significantly improve PFS compared to surufatinib monotherapy.

Conclusions:

  • Surufatinib represents a potentially valuable treatment option for patients with G3 NETs.
  • Further prospective studies with larger patient groups are necessary to confirm efficacy.
  • Identifying predictive biomarkers is crucial for optimizing patient selection and treatment strategies.

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