Immunotherapy in non-small cell lung cancer: Past, present, and future directions

被引:39
|
作者
Punekar, Salman R. R. [1 ]
Shum, Elaine [1 ]
Grello, Cassandra Mia [1 ]
Lau, Sally C. C. [1 ]
Velcheti, Vamsidhar [1 ]
机构
[1] New York Univ NYU Langone Hlth, Perlmutter Canc Ctr, New York, NY 10016 USA
来源
FRONTIERS IN ONCOLOGY | 2022年 / 12卷
关键词
Immunotherapy; immune checkpoint blockade; PD-1; PD-L1; CTLA-4; biomarkers; NSCLC; TUMOR MUTATIONAL BURDEN; MODIFIED T-CELLS; PHASE-II TRIAL; OPEN-LABEL; CHECKPOINT INHIBITORS; PD-L1; EXPRESSION; CEMIPLIMAB MONOTHERAPY; 1ST-LINE NIVOLUMAB; SINGLE-ARM; ADVANCED MELANOMA;
D O I
10.3389/fonc.2022.877594
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Many decades in the making, immunotherapy has demonstrated its ability to produce durable responses in several cancer types. In the last decade, immunotherapy has shown itself to be a viable therapeutic approach for non-small cell lung cancer (NSCLC). Several clinical trials have established the efficacy of immune checkpoint blockade (ICB), particularly in the form of anti-programmed death 1 (PD-1) antibodies, anti-cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) antibodies and anti-programmed death 1 ligand (PD-L1) antibodies. Many trials have shown progression free survival (PFS) and overall survival (OS) benefit with either ICB alone or in combination with chemotherapy when compared to chemotherapy alone. The identification of biomarkers to predict response to immunotherapy continues to be evaluated. The future of immunotherapy in lung cancer continues to hold promise with the development of combination therapies, cytokine modulating therapies and cellular therapies. Lastly, we expect that innovative advances in technology, such as artificial intelligence (AI) and machine learning, will begin to play a role in the future care of patients with lung cancer.
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页数:18
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