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Updated: Jul 2, 2026

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma
Published on: April 20, 2018
Characterization of response-adapted surgery following neoadjuvant systemic therapy in oral cavity cancer
Richard J Lu1, Lara Dunn2, Kenric Tam1
1Head and Neck Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Objectives:
Despite decades of experience with neoadjuvant systemic therapy (NST) in oral cavity squamous cell carcinoma (OCSCC) demonstrating its potential to facilitate surgical de-escalation through tumor downstaging, the impact of NST on response-adapted surgery has not been systematically evaluated.
Materials And Methods:
Surgical de-escalation following neoadjuvant NST was quantified using the Response-Adapted Surgery-Oral Cavity classification and the Oral Cavity Surgical Morbidity Score (OC-SMS) in 70 consecutive patients with resectable, locally advanced OCSCC. The relationship between surgical de-escalation, pathologic response, and margin status was assessed.
Results:
Surgical de-escalation was observed in 44 patients (62.8 %). Mean OC-SMS decreased from 9.1 (95 % CI, 8.5-9.7) before NST to 6.5 (95 % CI, 5.8-7.3) after NST. The largest contributors to de-escalation were reduced extent of resection (52 %), decreased need for free flap reconstruction (27 %), reduced surgical access requirements (17 %), and less extensive neck dissection (3 %). The greatest reductions were observed in tongue cancers (mean decrease, 3.1 points; p < 0.001), followed by buccal mucosa (2.1 points; p = 0.024) and floor of mouth cancers (2.0 points; p = 0.250). Gingival cancers demonstrated the smallest reduction (1.1 points; p = 0.116). Surgical de-escalation correlated with pathologic response, and 97 % of de-escalated cases achieved negative margins.
Conclusion:
Neoadjuvant systemic therapy resulted in measurable surgical de-escalation in OCSCC without compromising margin status. Surgical de-escalation should be incorporated as a key endpoint in future prospective trials designed to optimize NST approaches.
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