Feng Bohai, Hess Jochen
Department of Otorhinolaryngology, Head and Neck Surgery, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Department of Otorhinolaryngology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China.
Cancers (Basel). 2021 Mar 8;13(5):1162. doi: 10.3390/cancers13051162.
Immunotherapy by immune checkpoint inhibition has become a main pillar in the armamentarium to treat head and neck cancer and is based on the premise that the host immune system can be reactivated to successfully eliminate cancer cells. However, the response rate remains low and only a small subset of head and neck cancer patients achieves a durable clinical benefit. The availability of multi-omics data and emerging computational technologies facilitate not only a deeper understanding of the cellular composition in the tumor immune microenvironment but also enables the study of molecular principles in the complex regulation of immune surveillance versus tolerance. These knowledges will pave the way to apply immunotherapy more precisely and effectively. This review aims to provide a holistic view on how the immune landscape dictates the tumor fate and vice versa, and how integrative analysis of multi-omics data contribute to our current knowledge on the accuracy of predictive biomarkers and on a broad range of factors influencing the response to immunotherapy in head and neck cancer.
通过免疫检查点抑制进行免疫治疗已成为治疗头颈癌的主要手段之一,其前提是宿主免疫系统能够被重新激活以成功消除癌细胞。然而,应答率仍然较低,只有一小部分头颈癌患者能获得持久的临床益处。多组学数据的可用性和新兴的计算技术不仅有助于更深入地了解肿瘤免疫微环境中的细胞组成,还能研究免疫监视与耐受复杂调控中的分子原理。这些知识将为更精确、有效地应用免疫治疗铺平道路。本综述旨在全面阐述免疫格局如何决定肿瘤命运,反之亦然,以及多组学数据的综合分析如何增进我们目前对头颈癌预测生物标志物准确性以及影响免疫治疗应答的广泛因素的认识。