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非小细胞肺癌免疫治疗的生物标志物

Biomarkers of immunotherapy in non-small cell lung cancer.

作者信息

Wang Lingling, Hu Yue, Wang Shengchao, Shen Jiali, Wang Xiaochen

机构信息

Department of Surgical Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, P.R. China.

Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, P.R. China.

出版信息

Oncol Lett. 2020 Nov;20(5):139. doi: 10.3892/ol.2020.11999. Epub 2020 Aug 20.

Abstract

Immunotherapy has markedly improved the survival rate of patients with non-small cell lung cancer (NSCLC) and has introduced a new era in lung cancer treatment. However, not all patients with lung cancer benefit from checkpoint blockade, and some suffer from notable immunotoxicities. Thus, it is crucial to identify potential biomarkers suitable for screening the population that may benefit from immunotherapy. Based on the current clinical trials, the aim of the present study was to review the biomarkers for immune checkpoint inhibition, as well as other effective, invalid and hyperprogression markers that may have the potential to better predict responders to immunotherapy among patients with NSCLC. All these biomarkers may be incorporated into the predictive utility of bio-score systems and decision-making algorithms, to better guide the application of immunotherapy in the clinical setting.

摘要

免疫疗法显著提高了非小细胞肺癌(NSCLC)患者的生存率,并开创了肺癌治疗的新时代。然而,并非所有肺癌患者都能从检查点阻断治疗中获益,一些患者还会出现明显的免疫毒性。因此,识别适合筛选可能从免疫疗法中获益人群的潜在生物标志物至关重要。基于当前的临床试验,本研究旨在综述免疫检查点抑制的生物标志物,以及其他可能有助于更好地预测NSCLC患者免疫治疗反应者的有效、无效和超进展标志物。所有这些生物标志物都可纳入生物评分系统和决策算法的预测效用中,以更好地指导免疫疗法在临床中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e7/7471728/4fa34087ef54/ol-20-05-11999-g00.jpg

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