Clinical Trial for Head and Neck Cancer: Cetuximab with Pembrolizumab
This study is testing if adding the anti-cancer drug cetuximab to the standard treatment, pembrolizumab, can improve outcomes for people with head and neck squamous cell carcinoma (HNSCC) that has returned or spread. Cetuximab is a monoclonal antibody that targets a protein called EGFR on cancer cells, which may help stop their growth. Pembrolizumab is an immunotherapy that helps your body's immune system fight cancer. You may be able to join if you have HNSCC that has come back or spread, and you haven't been treated for this recurrent or metastatic disease before. The main goal is to see if the combination treatment helps people live longer. This study is currently recruiting 158 participants, but its status is unclear.
- Study design
- This is an interventional study comparing two treatment approaches for head and neck cancer. It plans to enroll 158 participants.
- What's involved
- You would undergo blood sample collection, CT or PET/CT scans, and MRI scans. You would receive either pembrolizumab alone or pembrolizumab with cetuximab intravenously (IV).
- Compensation
- Not stated in the trial record.
- Follow-up
- Your overall survival will be assessed for up to 5 years after randomization.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Testing the Addition of Anti-Cancer Drug, Cetuximab, to Standard of Care Treatment (Pembrolizumab) for Returning or Spreading Head and Neck Cancer After Previous Treatment
At a glance
Conditions
Where it's being run
199 sites across 30 statesStudy leadership
- Siddharth Sheth · PRINCIPAL_INVESTIGATOR · Alliance for Clinical Trials in Oncology
Who to contact
Do you actually qualify for this trial?
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Inclusion
What this trial measures
- Overall survival (OS)Time from randomization to death from any cause, assessed up to 5 years
Will be estimated using the Kaplan-Meier method. Will be based on the stratified log-rank test that will compare the distributions across the treatment arms. Univariable and multivariable Cox models stratified by the stratification factors used in the randomization will be assessed as well, where the multivariable Cox model will also adjust for other key baseline factors of interest. Hazard ratios and 95% confidence intervals, along with likelihood ratio p-values will be reported from these Cox models. Forest plots will be used to illustrate the comparisons between the arms within subgroups defined by stratification factors and key baseline characteristics.