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Biomarkers or factors for predicting the efficacy and adverse effects of immune checkpoint inhibitors in lung cancer: achievements and prospective / 中华医学杂志(英文版)
Chinese Medical Journal ; (24): 2466-2475, 2020.
Article in English | WPRIM | ID: wpr-877853
ABSTRACT
Immune checkpoint inhibitors (ICIs) are widely used in lung cancer therapy due to their effectiveness and minimal side effects. However, only a few lung cancer patients benefit from ICI therapy, driving the need to develop alternative biomarkers. Programmed death-ligand 1 (PD-L1) molecules expressed in tumor cells and immune cells play a key role in the immune checkpoint pathway. Therefore, PD-L1 expression is a prognostic biomarker in evaluating the effectiveness of programmed death-1 (PD-1)/PD-L1 inhibitors. Nevertheless, adverse predictive outcomes suggest that other factors are implicated in the response. In this review, we present a detailed introduction of existing biomarkers concerning tumor abnormality and host immunity. PD-L1 expression, tumor mutation burden, neoantigens, specific gene mutations, circulating tumor DNA, human leukocyte antigen class I, tumor microenvironment, peripheral inflammatory cells, and microbiome are discussed in detail. To sum up, this review provides information on the current application and future prospects of ICI biomarkers.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Biomarkers, Tumor / Prospective Studies / Carcinoma, Non-Small-Cell Lung / Tumor Microenvironment / B7-H1 Antigen / Immune Checkpoint Inhibitors / Lung Neoplasms Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Chinese Medical Journal Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Biomarkers, Tumor / Prospective Studies / Carcinoma, Non-Small-Cell Lung / Tumor Microenvironment / B7-H1 Antigen / Immune Checkpoint Inhibitors / Lung Neoplasms Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Chinese Medical Journal Year: 2020 Type: Article