Prospective study of algorithm-based chemoradioselection to optimize treatment intensity for advanced head and neck...

Area of Science:

• Oncology
• Head and Neck Cancer Research
• Chemotherapy and Radiation Therapy

Background:

• Locally advanced head and neck squamous cell carcinoma (LA-HNSCC) treatment requires reduced toxicity compared to high-dose cisplatin chemoradiotherapy.
• Current standard high-dose cisplatin (CDDP) (100 mg/m² x 3) chemoradiotherapy (CRT) for LA-HNSCC has excessive toxicity.

Purpose of the Study:

• To evaluate an algorithm-based chemoradioselection strategy for optimizing CRT in LA-HNSCC.
• To identify patients who would benefit most from intensified CRT or radical surgery.
• To reduce toxicity while maintaining favorable survival and quality of life.

Main Methods:

• 131 patients with Stage III or IV HNSCC received 40 Gy CRT (CDDP 80 mg/m²).
• Patients were stratified into responders (≥50% tumor reduction) and non-responders based on initial response.
• Responders received additional 30 Gy CRT (CDDP 80 mg/m²); non-responders underwent surgery or additional CRT.

Main Results:

• An algorithm stratified patients into 106 responders (Res-CRT) and 25 non-responders.
• Favorable 5-year overall survival (73%) and laryngoesophageal dysfunction-free survival (49%) were achieved.
• Responders (Res-CRT) had significantly better progression-free survival (PFS) than non-responders. Non-responders receiving CRT (non-Res-CRT) had the worst PFS and laryngeal preservation outcomes.

Conclusions:

• Algorithm-based chemoradioselection accurately identifies candidates for optimized CRT or surgery in LA-HNSCC.
• This strategy achieves favorable survival, laryngeal preservation, and quality of life.
• It offers a viable alternative to high-dose CDDP CRT for LA-HNSCC.