Department of Thoracic Oncology, National Cancer Center Hospital, Chuo-ku, Tokyo 104-0045 Japan.
Department of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara City, Kanagawa 252-0375, Japan.
Jpn J Clin Oncol. 2024 Jan 7;54(1):13-22. doi: 10.1093/jjco/hyad134.
Immunotherapy is revolutionizing the treatment of non-small cell lung cancer by targeting immune checkpoint proteins, including programmed death-1, programmed death ligand 1 and cytotoxic T-lymphocyte-associated antigen 4. Several immune checkpoint inhibitors, including programmed death ligand 1 inhibitors, programmed death-1 inhibitors and cytotoxic T-lymphocyte-associated antigen 4 inhibitors, were approved for the treatment of patients with advanced non-small cell lung cancer. Programmed death ligand 1 expression is currently the only predictive biomarker for immune checkpoint inhibitors to guide the treatment strategy in these patients. However, programmed death ligand 1 expression is not a perfect biomarker for predicting the efficacy of immunotherapy. Therefore, various biomarkers such as tumour mutation burden, tumour microenvironment, gut microbiome and T-cell receptor repertoire have been proposed to predict the efficacy of immunotherapy more accurately. Additionally, combining different biomarkers may provide a more accurate prediction of response to immunotherapy. This article reports the review of the latest evidence of the predictive marker of immunotherapy in patients with advanced non-small cell lung cancer.
免疫疗法通过靶向免疫检查点蛋白,包括程序性死亡受体 1、程序性死亡配体 1 和细胞毒性 T 淋巴细胞相关抗原 4,正在彻底改变非小细胞肺癌的治疗方法。几种免疫检查点抑制剂,包括程序性死亡配体 1 抑制剂、程序性死亡受体 1 抑制剂和细胞毒性 T 淋巴细胞相关抗原 4 抑制剂,已被批准用于治疗晚期非小细胞肺癌患者。程序性死亡配体 1 的表达是目前唯一预测免疫检查点抑制剂的生物标志物,用于指导这些患者的治疗策略。然而,程序性死亡配体 1 的表达并不是预测免疫治疗疗效的完美生物标志物。因此,已经提出了各种生物标志物,如肿瘤突变负担、肿瘤微环境、肠道微生物组和 T 细胞受体库,以更准确地预测免疫治疗的疗效。此外,结合不同的生物标志物可能提供对免疫治疗反应的更准确预测。本文报告了对晚期非小细胞肺癌患者免疫治疗预测标志物的最新证据的综述。