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Comprehensive analysis and validation of competing endogenous RNA network and tumor-infiltrating immune cells in lung adenocarcinoma.

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机构： [1]Lung Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China. [2]Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China. [3]Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong, China.

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The potential pathogenesis of LUAD remains largely unknown. In the present study, we evaluated the competing endogenous RNA (ceRNA) regulatory network and tumor-infiltrating immune cells in LUAD.We obtained the RNA profiles and corresponding clinical information of LUAD patients from TCGA data portal, and identified differentially expressed mRNAs (DEmRNAs), lncRNAs (DElncRNAs), and miRNAs (DEmiRNAs) between LUAD samples and normal controls to build a ceRNA network. Additionally, the CIBERSORT algorithm was conducted to analyze the patterns of immune cell infiltration. Then, two survival-predicting models were constructed based on ceRNA network and tumor-infiltrating immune cells, which were validated by an independent GEO dataset GSE50081. Moreover, the correlation between prognosis-related ceRNAs and immune cells was also evaluated.Totally, 484 LUAD samples and 59 normal controls were included in this study, and 15 DEmiRNAs, 94 DEmRNAs, and 7 DElncRNAs were integrated to construct the ceRNA network of LUAD. Meanwhile, differentially expressed tumor-infiltrating immune cells were also identified, and the expressions of monocytes and regulatory T cells were related to the overall survival (OS) of LUAD patients. Moreover, the prognostic prediction model based on ceRNA network or tumor-infiltrating immune cells exhibited significant power in predicting the survival of LUAD patients. Furthermore, co-expression analysis revealed that some prognosis-related ceRNAs, such as CCT6A, E2F7, SLC16A1, and SNHG3, were positively or negatively correlated with several tumor-infiltrating immune cells, such as monocytes and M1 macrophages.This study improves our understanding of the pathogenesis of LUAD and is helpful to explore potential therapeutic targets and prognostic biomarkers for LUAD.Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

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出版当年[2022]版：

大类 | 4 区医学

小类 | 4 区药学 4 区生化研究方法 4 区应用化学

最新[2023]版：

大类 | 4 区医学

小类 | 4 区生化研究方法 4 区应用化学 4 区药学

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第一作者机构： [1]Lung Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China.

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