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논문 기본 정보

자료유형
학술저널
저자정보
Sun Min Lim (CHA University) Min Hee Hong (Yonsei University College of Medicine) Hye Ryun Kim (Yonsei University College of Medicine)
저널정보
대한면역학회 Immune Network Immune Network Vol.20 No.1
발행연도
2020.2
수록면
141 - 154 (14page)

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초록· 키워드

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Immune checkpoint inhibitors (ICIs) have shown remarkable benefit in the treatment of patients with non-small-cell lung cancer (NSCLC) and have emerged as an effective treatment option even in the first-line setting. ICIs can block inhibitory pathways that restrain the immune response against cancer, restoring and sustaining antitumor immunity. Currently, there are 4 PD-1/PD-L1 blocking agents available in clinics, and immunotherapy-based regimen alone or in combination with chemotherapy is now preferred option. Combination trials assessing combination of ICIs with chemotherapy, targeted therapy and other immunotherapy are ongoing. Controversies remain regarding the use of ICIs in targetable oncogene-addicted subpopulations, but their initial treatment recommendations remained unchanged, with specific tyrosine kinase inhibitors as the choice. For the majority of patients without targetable driver oncogenes, deciding between therapeutic options can be difficult due to lack of direct cross-comparison studies. There are continuous efforts to find predictive biomarkers to find those who respond better to ICIs. PD-L1 protein expressions by immunohistochemistry and tumor mutational burden have emerged as most well-validated biomarkers in multiple clinical trials. However, there still is a need to improve patient selection, and to establish the most effective concurrent or sequential combination therapies in different NSCLC clinical settings. In this review, we will introduce currently used ICIs in NSCLC and analyze most recent trials, and finally discuss how, when and for whom ICIs can be used to provide promising avenues for lung cancer treatment.

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ABSTRACT
INTRODUCTION
EFFICACY OF KEY TRIALS
PATIENT SELECTION AND BIOMARKERS
TOXICITY PROFILES
TREATMENT DURATION
HYPERPROGRESSION
CONCLUSIONS
REFERENCES

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