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  • Open Access

    ARTICLE

    HSP90AA1 promotes lymphatic metastasis of hypopharyngeal squamous cell carcinoma by regulating epithelial-mesenchymal transition

    FENGXIANG TANG, YANSHI LI, MIN PAN, ZHIHAI WANG, TAO LU, CHUAN LIU, XIN ZHOU, GUOHUA HU*

    Oncology Research, Vol.31, No.5, pp. 787-803, 2023, DOI:10.32604/or.2023.030081

    Abstract Background: Lymphatic metastasis (LM) emerges as an independent prognostic marker for hypopharyngeal squamous cell carcinoma (HSPSCC), chiefly contributing to treatment inefficacy. This study aimed to scrutinize the prognostic relevance of HSP90AA1 and its potential regulatory mechanism of concerning LM in HPSCC. Methods: In a preceding investigation, HSP90AA1, a differential gene, was discovered through transcriptome sequencing of HPSCC tissues, considering both the presence and absence of LM. Validation of HSP90AA1 expression was accomplished via qRT-PCR, western-blotting(WB), and immunohistochemistry(IHC), while its prognostic significance was assessed employing Kaplan–Meier survival analysis(KMSA), log-rank test(LR), and Cox’s regression analysis(CRA). Bioinformatics techniques facilitated the prediction and analysis… More > Graphic Abstract

    HSP90AA1 promotes lymphatic metastasis of hypopharyngeal squamous cell carcinoma by regulating epithelial-mesenchymal transition

  • Open Access

    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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