Barham William T, Stagg Marshall Patrick, Mualla Rula, DiLeo Michael, Kansara Sagar
Department of Otolaryngology-Head and Neck Surgery, Louisiana State University Health Sciences Center, New Orleans, LA 71103, USA.
Department of Oncology, Our Lady of the Lake Regional Medical Center, Baton Rouge, LA 70809, USA.
Cancers (Basel). 2025 Jan 5;17(1):144. doi: 10.3390/cancers17010144.
Head and neck cancer is a deadly disease with over 500,000 cases annually worldwide. Metastatic head and neck cancer accounts for a large proportion of the mortality associated with this disease. Many advances have been made in our understanding of the mechanisms of metastasis. The application of immunotherapy to locally recurrent or metastatic head and neck cancer has not only improved oncologic outcomes but has also provided valuable insights into the mechanisms of immune evasion and ultimately treatment failure. : This review paper will review our current understanding of biological mechanisms of treatment failure and metastasis. Published and ongoing clinical trials in the management of metastatic head and neck cancer will also be summarized. : A narrative review was conducted to address the current understanding of the mechanisms of treatment failure and current treatment paradigms in recurrent and metastatic head and neck carcinoma. Our understanding of treatment failure in this disease is rapidly evolving. Immunotherapy represents a valuable new tool in the fight against recurrent and metastatic head and neck squamous cell carcinoma. Integrating patient and tumor specific data via artificial intelligence and deep learning will allow for a precision oncology approach, thereby achieving better prognostication and management of patients with this deadly disease.
头颈癌是一种致命疾病,全球每年有超过50万例病例。转移性头颈癌在该疾病相关的死亡率中占很大比例。我们对转移机制的理解已经取得了许多进展。免疫疗法应用于局部复发或转移性头颈癌,不仅改善了肿瘤学结局,还为免疫逃逸机制以及最终的治疗失败提供了有价值的见解。:这篇综述文章将回顾我们目前对治疗失败和转移的生物学机制的理解。还将总结已发表和正在进行的转移性头颈癌治疗的临床试验。:进行了一项叙述性综述,以阐述目前对复发和转移性头颈癌治疗失败机制以及当前治疗模式的理解。我们对这种疾病治疗失败的理解正在迅速发展。免疫疗法是对抗复发和转移性头颈鳞状细胞癌的一种有价值的新工具。通过人工智能和深度学习整合患者和肿瘤特异性数据将实现精准肿瘤学方法,从而更好地预测和管理患有这种致命疾病的患者。