免疫疗法
肺癌
医学
生物标志物
肿瘤科
单克隆抗体
免疫系统
疾病
免疫检查点
癌症
生物标志物发现
癌症免疫疗法
内科学
免疫学
癌症研究
抗体
生物
蛋白质组学
基因
生物化学
作者
Katiane Tostes,Aléxia Polo Siqueira,Rui Manuel Reis,Letícia Ferro Leal,Lídia Maria Rebolho Batista Arantes
标识
DOI:10.3390/ijms241511887
摘要
Lung cancer has the highest mortality rate among all cancer types, resulting in over 1.8 million deaths annually. Immunotherapy utilizing immune checkpoint inhibitors (ICIs) has revolutionized the treatment of non-small cell lung cancer (NSCLC). ICIs, predominantly monoclonal antibodies, modulate co-stimulatory and co-inhibitory signals crucial for maintaining immune tolerance. Despite significant therapeutic advancements in NSCLC, patients still face challenges such as disease progression, recurrence, and high mortality rates. Therefore, there is a need for predictive biomarkers that can guide lung cancer treatment strategies. Currently, programmed death-ligand 1 (PD-L1) expression is the only established biomarker for predicting ICI response. However, its accuracy and robustness are not consistently reliable. This review provides an overview of potential biomarkers currently under development or in the validation stage that hold promise in improving the classification of responders and non-responders to ICI therapy in the near future.
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