Pharmacogenomic analyses of sunitinib in patients with pancreatic neuroendocrine tumors

Nicola Fazio, Jean Francois Martini, Adina E. Croitoru, Michael Schenker, Sherry Li, Brad Rosbrook, Kathrine Fernandez, Jiri Tomasek, Espen Thiis-Evensen, Matthew Kulke, Eric Raymond

Research output: Contribution to journalArticlepeer-review


Aim: Evaluate associations between clinical outcomes and SNPs in patients with well-differentiated pancreatic neuroendocrine tumors receiving sunitinib. Patients & methods: Kaplan-Meier and Cox proportional hazards models were used to analyze the association between SNPs and survival outcomes using data from a sunitinib Phase IV (genotyped, n = 56) study. Fisher's exact test was used to analyze objective response rate and genotype associations. Results: After multiplicity adjustment, progression-free and overall survivals were not significantly correlated with SNPs; however, a higher objective response rate was significantly associated with IL1B rs16944 G/A versus G/G (46.4 vs 4.5%; p = 0.001). Conclusion: IL1B SNPs may predict treatment response in patients with pancreatic neuroendocrine tumors. VEGF pathway SNPs are potentially associated with survival outcomes.

Original languageEnglish
Pages (from-to)1997-2007
Number of pages11
JournalFuture Oncology
Issue number17
Publication statusPublished - Jun 2019


  • biomarkers
  • efficacy
  • pancreatic neuroendocrine tumor
  • sunitinib
  • VEGF

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


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