Duvelisib with Docetaxel for Patients with Anti-PD-1 Refractory, Recurrent, or Metastatic Head and Neck Squamous Cell

Glenn J Hanna1, L B Oakley1, R Shi2

  • 1Center for Head and Neck Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.

Abstract

Insights

This study combined a PI3K inhibitor with docetaxel for recurrent head and neck cancer after anti-PD-1 therapy. The combination showed a 19% response rate, offering a new treatment option for refractory HNSCC patients.

Area of Science:

  • Oncology
  • Immunotherapy
  • Pharmacology

Background:

  • Recurrent, metastatic head and neck squamous cell carcinoma (HNSCC) after anti-PD-1 therapy has limited treatment options.
  • PI3K signaling inhibition may modulate the tumor microenvironment and increase sensitivity to taxanes.

Purpose of the Study:

  • To evaluate the efficacy and safety of dual PI3Kδ/γ inhibition with docetaxel in patients with anti-PD-1 refractory HNSCC.
  • To assess the overall response rate (ORR) as the primary endpoint.

Main Methods:

  • A phase 2 trial administered duvelisib (PI3Kδ/γ inhibitor) plus docetaxel every 21 days.
  • The study used a Simon two-stage design to evaluate ORR (RECIST v1.1).
  • Secondary endpoints included safety, progression-free survival (PFS), and overall survival (OS).

Main Results:

  • The overall response rate was 19% (5/26 patients), with all partial responses. Median duration of response was 5.1 months.
  • 46% of patients had stable disease; 32% had disease progression. Median PFS was 2.8 months, and median OS was 10.2 months.
  • Grade 3+ treatment-related adverse events occurred in 50% of patients, primarily elevated liver function tests. HPV-negative patients showed improved OS.

Conclusions:

  • Combining a selective PI3K inhibitor with docetaxel demonstrates a favorable response rate in anti-PD-1 refractory HNSCC.
  • This combination therapy represents a potential new treatment strategy for patients with limited options.
  • Further research into immunologic and genomic correlates may optimize treatment selection and outcomes.