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    ARTICLE

    Identification and verification of aging-related lncRNAs for prognosis prediction and immune microenvironment in patients with head and neck squamous carcinoma

    QING GAO1,#, YUJING SHI2,#, YUANYUAN SUN1,#, SHU ZHOU1, ZEYUAN LIU3, XINCHEN SUN1,*, XIAOKE DI1,*

    Oncology Research, Vol.31, No.1, pp. 35-61, 2023, DOI:10.32604/or.2022.028193

    Abstract Aging is highly associated with tumor formation and progression. However, little research has explored the association of aging-related lncRNAs (ARLs) with the prognosis and tumor immune microenvironment (TIME) of head and neck squamous cell carcinoma (HNSCC). RNA sequences and clinicopathological data of HNSCC patients and normal subjects were downloaded from The Cancer Genome Atlas. In the training group, we used Pearson correlation, univariate Cox regression, least absolute shrinkage/selection operator regression analyses, and multivariate Cox regression to build a prognostic model. In the test group, we evaluated the model. Multivariate Cox regression was done to screen out independent prognostic factors, with… More >

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