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  • Open Access

    ARTICLE

    Pan-cancer analysis of RNA 5-methylcytosine reader (ALYREF)

    XING YE1,#, ZHOUTING TUO2,#, KAI CHEN3, RUICHENG WU3, JIE WANG3, QINGXIN YU4, LUXIA YE5, AKIRA MIYAMOTO6, KOO HAN YOO7, CHI ZHANG8, WURAN WEI3, DENGXIONG LI3,*, DECHAO FENG3,*

    Oncology Research, Vol.32, No.3, pp. 503-515, 2024, DOI:10.32604/or.2024.045050 - 06 February 2024

    Abstract The increasing interest in RNA modifications has significantly advanced epigenomic and epitranscriptomic technologies. This study focuses on the immuno-oncological impact of ALYREF in human cancer through a pan-cancer analysis, enhancing understanding of this gene’s role in cancer. We observed differential ALYREF expression between tumor and normal samples, correlating strongly with prognosis in various cancers, particularly kidney renal papillary cell carcinoma (KIRP) and liver hepatocellular carcinoma (LIHC). ALYREF showed a negative correlation with most tumor-infiltrating cells in lung squamous cell carcinoma (LUSC) and lymphoid neoplasm diffuse large B-cell lymphoma (DLBC), while positive correlations were noted in More >

  • Open Access

    ARTICLE

    Regulation of RNA methylation and immune infiltration patterns by m5C regulators in head and neck squamous cell carcinoma

    SHIDA HOU1,#, TIANJUN LAN2,#, YAOCHENG YANG3,#, PEISHENG LIANG1, XIN LIU4,5, JUNJIE WANG6, ZHIFENG CHEN7, RONGSHENG ZENG1,*, ZIJING HUANG8,*

    BIOCELL, Vol.47, No.12, pp. 2641-2660, 2023, DOI:10.32604/biocell.2023.043291 - 27 December 2023

    Abstract Background: 5-Methylcytosine (m5C) methylation contributes to the development and progression of various malignant tumors. This study aimed to explore the potential role of m5C methylation regulators (m5CMRs) in head and neck squamous cell carcinoma (HNSCC). Methods: The transcription data of HNSCC samples were obtained from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Subsequently, the m5C patterns in HNSCC were evaluated based on 14 m5CMRs. Then, the m5Cscore was developed to quantify m5C patterns by using principal component analysis (PCA) algorithms. Two single-cell RNA sequencing datasets and various methods were employed to… More >

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