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• W3048608175 abstract "In this study, we established the predictive model for lung adenocarcinoma (LUAD) depending on immune-related gene pairs (IRGPs) signature, which could not consider the technical bias of different platforms. Furthermore, we explored the predictive model with regard to the immune microenvironment and response to immunotherapy and identified specific drugs targeting the IRGPs model. Twenty-three IRGPs were identified and comprised the predictive model. When compared with the high-risk group, the low-risk group displayed a distinctly favorable prognosis and was characterized by increased immune score and decreased tumor purity. In addition, the low-risk group exhibited higher expression of immune checkpoint molecules, lower tumor stemness index, and was much more sensitive to immunotherapy. Lastly, candidate drugs that aimed at LUAD subtype differentiation were identified. The derived IRGPs model is an adverse independent biomarker for estimating oncologic outcomes in LUAD patients, and may be helpful to formulate personalized immunotherapy strategy. • 23 immune-related gene pairs were constructed the prognostic model and shown to be an independent prognostic factor in LUAD. • Tumor immune microenvironment and response to immunotherapy varied in LUAD patients with different risk groups. • Candidate drugs that aimed at LUAD subtype differentiation were identified." @default.
• W3048608175 created "2020-08-18" @default.
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• W3048608175 date "2020-11-01" @default.
• W3048608175 modified "2023-09-29" @default.
• W3048608175 title "A signature of immune-related gene pairs predicts oncologic outcomes and response to immunotherapy in lung adenocarcinoma" @default.
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• W3048608175 doi "https://doi.org/10.1016/j.ygeno.2020.08.014" @default.
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