O6-methylguanine-DNA methyltransferase (MGMT) status in neuroendocrine tumors: a randomized phase II study (MGMT-NET)

Annie Lemelin1, Marc Barritault2, Valérie Hervieu3

  • 1Department of Medical Oncology, Edouard Herriot Hospital, Hospices Civils de Lyon, Lyon, France.

Abstract

Insights

Tumor O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation may predict response to alkylating agents (ALKY) chemotherapy in advanced neuroendocrine tumors (NETs). This trial investigates MGMT status and compares ALKY with oxaliplatin-based regimens.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Clinical Trials

Background:

  • Neuroendocrine tumors (NETs) are rare but increasing in incidence.
  • Alkylating agents (temozolomide, streptozotocin) are standard chemotherapy for advanced pancreatic NETs.
  • O6-methylguanine-DNA methyltransferase (MGMT) status may predict response to alkylating agents.

Purpose of the Study:

  • To evaluate the predictive value of tumor MGMT promoter (pMGMT) methylation for objective response to alkylating agents (ALKY) in advanced NETs.
  • To assess MGMT immunohistochemistry as a predictive biomarker.
  • To compare the efficacy of ALKY versus oxaliplatin-based chemotherapy (Ox).

Main Methods:

  • A national, prospective, randomized, controlled, multicenter trial.
  • Inclusion of adult patients with advanced, well-differentiated NETs requiring chemotherapy.
  • Assessment of pMGMT methylation by pyrosequencing, with ancillary comparison to immunohistochemistry.

Main Results:

  • 104 patients will be randomized (1:1 or 2:1 based on pMGMT methylation status) to ALKY or Ox arms.
  • The study aims to determine the predictive value of pMGMT methylation for treatment response.
  • Comparative efficacy of two chemotherapy regimens will be analyzed.

Conclusions:

  • MGMT promoter methylation status is being investigated as a predictive biomarker for alkylating agent chemotherapy in advanced NETs.
  • This trial will provide insights into optimizing chemotherapy selection for NET patients based on molecular markers.

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