识别免疫检查点抑制剂(ICIs)治疗非小细胞肺癌(NSCLC)的预后和预测性生物标志物

IF 5.1 Q1 ONCOLOGY Lung Cancer: Targets and Therapy Pub Date : 2021-03-25 eCollection Date: 2021-01-01 DOI:10.2147/LCTT.S235102
Nicholas Giustini, Lyudmila Bazhenova
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引用次数: 16

摘要

免疫治疗在非小细胞肺癌的治疗中起着核心作用,预测免疫应答的生物标志物是有价值的治疗工具。程序性死亡配体1 (PD-L1)免疫组织化学(IHC)在治疗选择中是不可或缺的,因为其对转移性ICIs的阳性预测性质已得到充分证明。肿瘤突变负荷(Tumor mutational burden, TMB)已经进行了大量的研究,虽然结果有些混杂,但有证据表明其与ICI的使用具有积极的预测价值。其他标志物,如肿瘤浸润淋巴细胞(til)、基因表达谱(GEP)、错配修复(MMR)和微卫星不稳定性(MSI)、体细胞突变、中性粒细胞与白细胞比率(NLR)、吸烟史、用药史和免疫相关不良事件(irAE)的发展,可以进一步指导临床医生。
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Recognizing Prognostic and Predictive Biomarkers in the Treatment of Non-Small Cell Lung Cancer (NSCLC) with Immune Checkpoint Inhibitors (ICIs).

Immunotherapy plays a central role in the treatment of NSCLC and biomarkers predicting response to ICIs are valuable therapeutic tools. Programmed death-ligand 1 (PD-L1) immunohistochemistry (IHC) is integral in therapy selection as its positive predictive nature to ICIs in the metastatic setting is well documented. Tumor mutational burden (TMB) has undergone much study and, while results are somewhat mixed, there is evidence for its positive predictive value with ICI use. Additional markers such as tumor-infiltrating lymphocytes (TILs), gene expression profiling (GEP), mismatch repair (MMR) and microsatellite instability (MSI), somatic mutations, neutrophil to leukocyte ratio (NLR), smoking history, medication history, and immune-related adverse event (irAE) development can further guide clinicians.

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来源期刊
CiteScore
8.10
自引率
0.00%
发文量
10
审稿时长
16 weeks
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