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复发性/转移性头颈部鳞状细胞癌的免疫治疗:程序性死亡受体1配体(PD-L1)及其他。

Immunotherapy in recurrent/metastatic head and neck squamous cell carcinoma: PD-L1 and beyond.

作者信息

Ascione Andrea, Botticelli Andrea, Leopizzi Martina, Cerbelli Edoardo, Cirillo Alessio, Bellavia Diana, Della Rocca Carlo, d'Amati Giulia, Cerbelli Bruna

机构信息

Department of Experimental Medicine, Sapienza, University of Rome, Rome, Italy.

Department of Radiology, Oncology and Pathology, Sapienza, University of Rome, Rome, Italy.

出版信息

Pathologica. 2025 Apr;117(2):73-83. doi: 10.32074/1591-951X-1092.

Abstract

Head and neck squamous cell carcinoma (HNSCC) is a prominent global health concern because of its high incidence, aggressive clinical behavior, and scarce therapeutic options. The management of these neoplasms in the recurrent/metastatic setting has been revolutionized following the results of key clinical trials, leading to the advent of immunotherapeutic agents targeting the PD-1/PD-L1 axis. Despite the exciting results obtained with the new drugs, immunotherapy is helpful only in a sizable minority of patients, and there is a pressing need to identify reliable predictive biomarkers for patient selection. The immunohistochemical assessment of PD-L1 expression was initially identified as a powerful and easily accessible predictive tool, and gained its place as the current standard for patient selection, but it has clear limitations. The imperfect predictive power of PD-L1 has resulted in a strong effort to discover additional clinical, pathological and molecular biomarkers such as tumor HPV status, mutational burden, microsatellite instability, and much more. In addition, the tumor microenvironment has been extensively studied searching for promising new biomarkers as potential avenues for refining patient selection and improvement of treatment outcomes. As we gain deeper understanding of the complex interplay between tumor biology, immune system, and tumor microenvironment, we are rapidly realizing that the perfect biomarker, the magic bullet, probably doesn't exist. On the other hand, with the introduction of new drugs on the horizon, integration of multiple variables in the context of combined predictive scores is shaping up to be our best weapon in this strife to treat each patient with the best possible drug.

摘要

头颈部鳞状细胞癌(HNSCC)是一个突出的全球健康问题,因其发病率高、临床行为侵袭性强且治疗选择有限。关键临床试验结果公布后,复发/转移性HNSCC的治疗发生了变革,导致了靶向PD-1/PD-L1轴的免疫治疗药物的出现。尽管新药取得了令人振奋的结果,但免疫疗法仅对相当一部分少数患者有帮助,因此迫切需要确定可靠的预测生物标志物以用于患者选择。PD-L1表达的免疫组化评估最初被确定为一种强大且易于获取的预测工具,并成为当前患者选择的标准,但它有明显的局限性。PD-L1的预测能力不完善,促使人们大力寻找其他临床、病理和分子生物标志物,如肿瘤HPV状态、突变负荷、微卫星不稳定性等。此外,人们对肿瘤微环境进行了广泛研究,以寻找有前景的新生物标志物,作为优化患者选择和改善治疗结果的潜在途径。随着我们对肿瘤生物学、免疫系统和肿瘤微环境之间复杂相互作用的理解不断深入,我们很快意识到完美的生物标志物,即万灵药,可能并不存在。另一方面,随着即将有新药问世,在综合预测评分的背景下整合多个变量正逐渐成为我们在这场用最佳药物治疗每位患者的斗争中的最佳武器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1aae/12142288/b32b53831dbf/pathol-2025-02-73-g001.jpg

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